| Genetic Testing Section - Genetic and
Molecular Diagnostic Testing
| Topic: Genetic and Molecular
Diagnostic Testing |
Date of Origin: 09/15/1999 |
| Section: Genetic Testing |
Policy No: 20 |
| Effective Date: 04/01/2012 |
|
IMPORTANT REMINDER
Regence Medical Policies are developed to provide guidance for members and providers regarding
coverage in accordance with contract terms. Benefit determinations are based in all cases on
the applicable contract language. To the extent there may be any conflict between the Medical
Policy and contract language, the contract language takes precedence.
PLEASE NOTE: Contracts exclude from coverage, among other things, services or procedures that
are considered investigational or cosmetic. Providers may bill members for services or
procedures that are considered investigational or cosmetic. Providers are encouraged to inform
members before rendering such services that the members are likely to be financially responsible
for the cost of these services.
DESCRIPTION
Genetic testing is performed to detect changes in
DNA, RNA, chromosomes, proteins, or certain metabolites.
A number of molecular diagnostic techniques (described
by the molecular
diagnostic CPT codes range)
are used to conduct this analysis.
Genetic testing may be performed for several different
purposes, including:
- Diagnosing or predicting susceptibility for inherited
conditions
- Screening for common disorders
- Selecting appropriate treatments (also known as
pharmacogenetic testing).
Genetic Counseling
Due to the complexity of interpreting genetic test
results, patients should receive pre- and post-test
genetic counseling from a qualified professional when
testing is performed to diagnose or predict susceptibility
for inherited diseases. The benefits and risks
of genetic testing should be fully disclosed to individuals
prior to testing, and counseling concerning the test
results should be provided.
POLICY/CRITERIA
The following general criteria are applied to genetic
and molecular diagnostic testing. In addition,
the list in criterion III below provides links to policies
for specific genetic test indications.
- Genetic Testing for Inherited Diseases
- Genetic testing to establish
a diagnosis or susceptibility for an inherited
disease may be medically necessary when all of
the following criteria are met:
- There must be a reasonable expectation
based on family history, an analysis
of genetic relationships and medical
history in a family (pedigree analysis),
risk factors, and symptomatology that
a genetically inherited condition exists.
- Diagnostic results from physical
examination, pedigree analysis, and
conventional testing are inconclusive.
- The clinical utility of the genetic
test must be established. The clinical
records must document:
- How test results will guide
decisions concerning disease treatment,
management , or prevention; and
- These treatment decisions would
not otherwise be made in the absence
of the genetic test results.
- Genetic testing to establish a diagnosis or
susceptibility for an inherited disease is considered not medically
necessary if any of criteria I.A.1-
I.A.3.b above are not met.
- Genetic testing of children to predict
adult onset diseases is considered not medically
necessary unless test results
will guide current decisions concerning
prevention and this benefit would be
lost by waiting until the child has reached
adulthood.
- Genetic Testing Not Related to Inherited Conditions
Genetic testing for indications other than determining
risk or establishing a diagnosis for a genetically
inherited disease (e.g., genotyping for drug selection
and dosing) may be considered medically necessary when all of
the following criteria are met:
- Diagnostic results from physical examination
and conventional testing are inconclusive;
and
- The clinical records document how results
of genetic testing are necessary to guide
treatment decisions; and
- There is reliable evidence in the peer-reviewed
scientific literature that health outcomes
are improved as a result of treatment decisions
based on molecular genetic test results.
- Specific Test Indications
Note: If a policy for a specific test is not listed
in the table below, then the policy criteria
in I or II above must be applied.
| Indication |
Medically Necessary or Investigational |
Alzheimer’s
Disease
- Apolipoprotein E epsilon 4 allele (APOE)
- Presenilin genes
- Amyloid precursor gene
|
See Regence Medical Policy, Genetic Testing,
No. 01:
Genetic Testing for Familial Alzheimer’s
Disease:
http://blue.regence.com/trgmedpol/geneticTesting/gt01.html |
BCR-ABL 1 Testing for
Chronic Myeloid Leukemia
|
See Regence Medical Policy, Genetic
Testing, No. 27:
BCR-ABL1 Testing for Chronic
Myeloid Leukemia
http://blue.regence.com/trgmedpol/geneticTesting/gt27.html |
Breast and/or
ovarian cancer
- BRCA1
- BRCA2
- BRACAnalysis Large Rearrangement
Test (BART)
- CHEK2
|
See Regence Medical Policy, Genetic Testing,
No. 02:
Genetic Testing for Hereditary Breast
and/or Ovarian Cancer:
http://blue.regence.com/trgmedpol/geneticTesting/gt02.html |
Breast
Cancer Risk Assessment (Non-BRCA)
- OncoVue® Breast Cancer Risk
Test
|
See Regence Medical Policy, Genetic Testing,
No. 03:
Non-BRCA Breast Cancer Risk Assessment
(OncoVue®):
http://blue.regence.com/trgmedpol/geneticTesting/gt03.html |
Breast
Cancer: Biomarker Genes for the Detection of
Lymph Node Metastases
- Cytokeratin-19
- DNA methyltransferase 3b
- GeneSearch™ BLN Test Kit
- Mammaglobin
|
Investigational for
detection of lymph node metastases in patients
with breast cancer. |
Breast Cancer Prognosis
- Oncotype DX™
- MammaPrint®
- Breast Cancer Gene Expression Ratio
- Molecular Grade Index
- Mammostrat™
|
See Regence Medical Policy, Genetic Testing,
No. 42:
Assays of Genetic Expression in Tumor
Tissue as a Technique to Determine Prognosis
In Patients With Breast Cancer:
http://blue.regence.com/trgmedpol/geneticTesting/gt42.html |
Cardiovascular
Disease
- Apolipoprotein E (apo E) genotyping and phenotyping
|
Investigational in
the management of cardiovascular disease. |
| Colorectal
Cancer: Familial Adenomatous Polyposis
(FAP)
|
Medically
necessary for one of the following
when pre-test genetic counseling is documented:
- At-risk relatives of patients with familial
adenomatous polyposis (FAP) and/or a known
APC mutation.
“At-risk relatives” primarily refers
to first-degree relatives. [1]
- Patients with a differential diagnosis of attenuated
FAP vs. MYH-associated polyposis vs. Lynch syndrome.
|
Not
medically necessary for colorectal
cancer patients with classical FAP.
|
| Colorectal Cancer: MYH-associated
polyposis
|
Medically
necessary when the following
criteria are met:
- Pre-test genetic counseling is documented;
and
- There is a differential diagnosis of attenuated
FAP vs. MYH-associated polyposis vs. Lynch
syndrome; and
- There is a negative result for APC gene mutations.
A family history of no parents or children
with FAP is consistent with MYH-associated
polyposis (autosomal recessive).
|
Colorectal Cancer: Lynch Syndrome
MMR gene mutations :
|
Medically
necessary when pre-test genetic counseling
is documented and any one of the following criteria is
met:
- Lynch syndrome (hereditary nonpolyposis
colorectal cancer [HNPCC]) is suspected in
patients with colorectal cancer.
Either the microsatellite instability (MSI)
test or the immunohistochemistry (IHC) test
with or without BRAF gene mutation testing
should be used as an initial evaluation of
tumor tissue prior to MMR gene analysis.
- A known MMR mutation has been identified
in a first-degree relative with Lynch syndrome.
- There is a differential diagnosis of attenuated
FAP vs. MYH-associated polyposis vs. Lynch
syndrome.
- Patients without colorectal cancer but
with a family history meeting the Amsterdam
II or Revised Bethesda criteria, when no
affected family members have been tested
for MMR mutations.
Amsterdam II criteria [2] (patients
must meet all of the following):
- Three or more relatives with
a histologically-verified cancer associated
with HNPCC (colorectal cancer of the endometrium,
small bowel, ureter, or renal pelvis),
one of whom is a first-degree relative
of the other two; and
- HNPCC-associated cancer involving at
least two generations; and
- HNPCC-associated cancer in one or more
of the affected relatives is diagnosed
before 50 years of age; and
- Familial adenomatous polyposis is excluded
in any cases of colorectal cancer.
Modifications allow for small families:
these families must have 2 colorectal cancers
in first-degree relatives involving at least
2 generations, with at least 1 individual
diagnosed by age 55.
Revised Bethesda criteria [3] (patients
may meet any of the following):
- Colorectal cancer diagnosed
in a patient who is less than 50 years
of age; OR
- Presence of synchronous, metachronous
colorectal, or other HNPCC-associated tumors,
regardless of age (e.g., endometrial,
stomach, ovarian, pancreas, ureter, renal
pelvis, biliary tract, and brain [usually
glioblastoma as seen in Turcot syndrome]);
OR
- Colorectal cancer with the MSI-H
histology diagnosed in a patient who is less
than 60 years of age; OR
- Colorectal cancer diagnosed in
one or more first-degree relatives with an
HNPCC-related tumor, with one of the cancers
being diagnosed under age 50 years; OR
- Colorectal cancer diagnosed in two or more
first- or second-degree relatives with HNPCC-related
tumors, regardless of age.
|
Colorectal Cancer: Oncotype DX® colon
cancer test |
See Regence Medical Policy, Genetic
Testing, No. 22:
Multigene Expression Assay for
Predicting Recurrence in Colon Cancer:
http://blue.regence.com/trgmedpol/geneticTesting/gt22.pdf
|
Congenital
Long QT Syndrome (LQTS)
- LQT1
- LQT2
- LQT3
- LQT4-7
- Familion® test (LQT1-5)
|
Medically necessary to
confirm a diagnosis in patients who do not meet
the clinical criteria for LQTS but have suspected
LQTS and who have one of the following:
- A first-, second-, or third-degree relative*
with a known LQTS mutation
- A first-, second-, or third-degree relative*
diagnosed with LQTS by clinical means whose
genetic status is unavailable
- Signs or symptoms indicating a moderate-to-high
pretest probability of LQTS
|
Investigational to
determine prognosis and/or direct therapy in patients
with known LQTS
|
Cutaneous Malignant
Melanoma
|
See Regence Medical Policy, Genetic
Testing, No. 08:
Genetic Testing for Cutaneous Malignant Melanoma:
http://blue.regence.com/trgmedpol/geneticTesting/gt08.html |
|
See Regence Medical Policy, Genetic
Testing, No. 41:
BRAF Gene Mutation Testing To Select Melanoma Patients for BRAF Inhibitor Targeted
Therapy
http://blue.regence.com/trgmedpol/geneticTesting/gt41.html |
| Cystic
Fibrosis (CF)
|
Medically necessary for
the following:
- Adults with a positive family history of
CF
- Reproductive partners of individuals with
CF
- Couples currently planning a pregnancy
- Couples seeking prenatal testing
|
Not medically necessary for CF screening
in the general population.
|
Cytochrome
p450 Genotyping
- CYP450
(CYP1A2, CYP2C19, CYP2D6, CYP2D6*4, CYP3A4,
CYP3A5)
- AmpliChip®
|
See
Regence Medical Policy, Genetic Testing 10:
Cytochrome
p450 Genotyping
http://blue.regence.com/trgmedpol/geneticTesting/gt10.html
|
Familial
medullary thyroid cancer (RET proto-oncogene)
|
Medically
necessary in the following situations when
pre-test genetic counseling is documented:
- Among symptomatic members of families with
defined RET gene mutations;
- Among members of families known to be affected
by inherited medullary thyroid cancer, but
not previously evaluated for RET mutations;
and
- Among patients with sporadic medullary thyroid
cancer
|
| Human
DNA in Stool Samples for Colorectal Cancer
Screening
|
Investigational as
a screening technique for colorectal cancer. |
| KIF6 Testing for Predicting
Cardiovascular Risk and/or Effectiveness of Statin
Therapy |
See Regence Medical Policy Genetic
Testing No. 32:
KIF6 Genotyping for Predicting
Cardiovascular Risk and/or Effectiveness of Statin
Therapy:
http://blue.regence.com/trgmedpol/geneticTesting/gt32.html |
| KRAS and BRAF
Mutation Analysis in Metastatic Colorectal
Cancer |
See Regence Medical Policy, Genetic Testing,
No. 13:
KRAS and BRAF Mutation Analysis in Metastatic
Colorectal Cancer:
http://blue.regence.com/trgmedpol/geneticTesting/gt13.html
|
| KRAS
Mutation Analysis in Non-Small Cell Lung Cancer |
See Regence Medical Policy, Genetic Testing,
No. 14:
KRAS Mutation Analysis in Non-Small
Cell Lung Cancer (NSCLC):
http://blue.regence.com/trgmedpol/geneticTesting/gt14.html |
Microarray-based
Gene Expression Testing for Cancers of Unknown
Primary
- Pathwork® Tissue of Origin test
|
See Regence Medical Policy, Genetic Testing,
No. 15:
Microarray-Based Gene Expression Testing
for Cancers of Unknown Primary:
http://blue.regence.com/trgmedpol/geneticTesting/gt15.html |
| PathFinderTG® Molecular
Testing |
See Regence Medical Policy, Genetic Testing,
No. 16:
PathFinderTG® Molecular Testing:
http://blue.regence.com/trgmedpol/geneticTesting/gt16.html
|
Prostate
Cancer
- Focus 5 assay
- Glutathione S-transferase Gene (GSTP1, pi-class)
Methylation Assay
- GSTP1 biomarker
- PCA3
- ProCa Assay
- Prostate Gene Expression Profile
|
Investigational for
the screening, detection, and management of prostate
cancer, including but not limited to the following
genetic tests:
- Single-nucleotide polymorphisms (SNPs) for
risk assessment;
- PCA3 for disease diagnosis;
- TMPRSS fusion genes for diagnosis and prognosis;
- Multiple gene tests (gene panels) for prostate
cancer diagnosis;
- Gene hypermethylation for diagnosis and prognosis.
|
Warfarin
Dose
(Nanosphere Verigene® Warfarin Metabolism Nucleic
Acid Test)
|
See Regence Medical Policy, Genetic
Testing 10: Cytochrome p450 Genotyping
http://blue.regence.com/trgmedpol/geneticTesting/gt10.html |
POSITION STATEMENT
Molecular diagnostic testing must have analytical and
clinical validity before clinical
utility can be established. The focus of
the position summary for specific tests is on evidence
related to the ability of test results to both guide
decisions in the clinical setting related to either
treatment or prevention and to improve health outcomes
as a result of those decisions.
Apolipoprotein E (apo E) Genotyping and Phenotyping
in the Management of Cardiovascular Disease [4] Back
to Table
- There is insufficient evidence to determine whether
apo E genotyping or phenotyping improves coronary
artery disease risk prediction compared to traditional
risk factor measurement.
- There is insufficient evidence to determine whether
apo E genotyping or phenotyping is useful in the
selection of specific components of lipid-lowering
therapy, such as medication selection.
Apo E is the primary apolipoprotein found in very-low-density
lipoproteins and chylomicrons and is thought to play
an important role in lipid metabolism. The apo E gene
is polymorphic, consisting of 3 alleles (e2, e3, and
e4) that code for 3 protein isoforms, known as E2,
E3, and E4. These molecules mediate lipid metabolism
through their different interactions with the LDL receptors.
The genotype of apo E alleles can be assessed by gene
amplification techniques, or the apo E phenotype can
be assessed by measuring plasma levels of apolipoprotein
E.
Apo E as a Predictor of Cardiovascular Disease
- A large body of research has established a relationship
between the underlying apo E genotype and lipid levels,
physiologic markers of atherosclerotic disease, or
surrogate outcomes such as carotid intima-media thickness.
[5-11] Other studies have suggested
that carriers of apo e4 are more likely to develop
signs of atherosclerosis independent of total and
low-density lipoprotein (LDL) cholesterol levels.
[12-14] Some larger observational
studies and a meta-analysis correlated apo E genotype
with clinical disease. [15-18]
- Despite these correlations, there are no prospective
clinical trials that demonstrate whether apo E genotyping
provides additional clinically relevant information
beyond established risk factors. There are no studies
comparing health outcomes related to clinical decisions
based on apoE genotypying or phenotyping to those
based on standard risk factor measurements.
- Apo E has not been incorporated into standardized
cardiac risk assessment models and was not identified
as one of the important “emerging risk factors” in
the most recent Adult Treatment Panel (ATP III) recommendations
from the National Cholesterol Education Program.
[19]
Apo E as a Predictor of Response to Therapy
- Dietary modifications are a universal recommendation
for those with elevated cholesterol or LDL levels,
and statin medications are the overwhelmingly preferred
agents for lipid-lowering therapy.
- The evidence from lipid-lowering trials indicates
that the apo E genotype may be a predictor of response
to statins and may allow clinicians to better gauge
an individual’s chance of successful treatment,
although not all studies are consistent in reporting
this relationship. [20-25]
- However, there are no prospective clinical studies
that demonstrate how apo E genotyping or phenotyping
changes clinical management or improves health outcomes
in patients with an apo E phenotype that indicates
diminished response to statin drugs. Specifically,
it is not known whether a clinician would choose
alternative therapies that could result in better
treatment response.
Breast
Cancer: Biomarker Genes for the Detection of Lymph
Node Metastases [26] Back
to Table
There is insufficient evidence to determine whether
any gene-based test improves detection of lymph node
metastases in patients with breast cancer compared
to current pathologic and histologic examinations.
The GeneSearch™ breast lymph node (BLN) assay
is an intraoperative test to evaluate lymph nodes for
metastases in patients with breast cancer. The
assay is proposed as an alternative to standard postoperative
histology or to intraoperative frozen section histology
or imprint cytology. This assay uses real-time polymerase
chain reaction to qualitatively evaluate nodal sections
for the presence of two gene expression markers, mammaglobin
and cytokeratin 19. These genes are expressed at higher
levels in breast tissue, but not in normal nodal tissue.
Test results are available in 35 to 40 minutes. The
assay cutoff for positivity is designed to allow detection
of metastases that are larger than 0.2 mm in size;
however, the assay does not discriminate between micrometastases
(between 0.2 mm and 2 mm) and macrometastases (larger
than 2 mm).
Several reports from European centers describe the
use of tests similar to the GeneSearch™ assay;
however, published data are limited and none of these
tests have FDA approval.
The key factor in assessing these assays is the tradeoff
between avoiding a second surgery to remove axillary
lymph nodes if the sentinel node is positive versus risking
unnecessary axillary lymph node dissection (ALND) if
the assay produces a false positive result. The reason
sentinel lymph node biopsy is the standard of care in
early breast cancer, in spite of the fact that trials
on its impact are still incomplete, is the desire to
avoid ALND when possible, given the potential for significant,
long-term morbidity.
GeneSearch™ BLN Assay
- A 2007 BlueCross BlueShield Association Technology
Evaluation Center Assessment concluded that the scientific
evidence for intraoperative use of the GeneSearch™ BLN
assay was not sufficient to permit conclusions concerning
its impact on final health outcomes. [27,28] Specific
observations included the following:
- There was only one published study on the performance
of the GeneSearch™ assay, which reported
on the same study used by the FDA to determine
approval.
- The study presented to the FDA had a number of
strengths, including the clear distinction between
the training and test sets and double-reading of
the permanent histology slides to increase the
reliability of the reference standard.
- A number of weaknesses were present as well,
such as lack of description regarding patient recruitment;
substantial variation in assay performance across
sites; lack of corroborating studies; inability
of the assay to distinguish between micro- and
macrometastases; and a learning curve for those
performing the assay.
- The GeneSearch™ results were not used
for clinical management of the patient.
- The GeneSearch™ assay provides less information
for staging as it cannot distinguish between micro-
and macrometastases, and it cannot indicate the
location of the metastasis (inside or outside of
the node). Postoperative histology is still
required in all cases for staging.
- Additional validation studies are needed that
address the limitations noted in the data, including
information on patient preferences between avoiding
second surgeries versus running the risk of unnecessary
axillary lymph node dissection.
- Although the FDA granted approval for marketing
of the GeneSearch™ BLN Test Kit, post-operative
histological evaluation of permanent sections of
the tissue specimen is required according to the
approval. In addition,
the FDA has mandated two postmarketing studies to
address some of the data limitations noted in the
TEC Assessment. [29]
- In three more recent studies, sentinel lymph nodes
were analyzed by the GeneSearch™ assay and
postoperative or intraoperative histologic examination.
[30-32] These prospective studies
focused on clinical validity and reported overall
agreement between the tests of 90.8 - 96%. Reported
sensitivities and specificities were 77.8-92% and
94.6-97%, respectively. Positive
and negative predictive values of the assay were
66.7-86% and 92.9-98.6%, respectively.
- No clinical decisions were made based on assay
results — the
clinical utility of the GeneSearch™ (or any
other molecular assay) remains uncertain.
Other Assays
- Although research is ongoing for other tests, no other
assay has received FDA approval.
National Comprehensive Cancer Network (NCCN) Guidelines
- NCCN guidelines acknowledge the revised cancer
staging manual by the American Joint Committee on
Cancer (January 2003, sixth edition) which addresses
the increasing use of novel pathology diagnostic
techniques, and the addition of identifiers to indicate
the use of sentinel lymph node molecular pathology
techniques in staging a patient. However, the NCCN
makes no recommendations on how to incorporate molecular
testing of a sentinel lymph node into clinical practice.
[33]
Colon Cancer: Inherited
Susceptibility [34] Back
to Table
Familial Adenomatous Polyposis (FAP) [35,36]
Background
FAP typically develops by age 16 years and can be identified
by the appearance of hundreds to thousands of characteristic,
precancerous colon polyps. If left untreated, all
affected individuals will go on to develop colorectal
cancer. The mean age of colon cancer diagnosis
in untreated individuals is 39 years. Germline
mutations in the adenomatous polyposis coli (APC)
gene are responsible for FAP and are inherited in
an autosomal dominant manner.
A subset of FAP patients may have attenuated FAP (AFAP),
characterized by 10-99 cumulative colorectal adenomas
occurring later in life than in classical FAP, colorectal
cancer occurring at an average age of 50-55 years,
fewer extraintestinal cancers, but a high lifetime
risk of colorectal cancer of about 70% by age 80. Only
30% or fewer of AFAP patients have APC mutations; some
of these patients instead have mutations in the MYH
gene and are then diagnosed with MYH-associated polyposis
(MAP).
MAP occurs with a frequency approximately equal to
FAP, with some variability among prevalence estimates
for both. While clinical features of MAP are similar
to FAP or AFAP, a strong multigenerational family history
of polyposis is absent. Biallelic MYH mutations are
associated with a cumulative colorectal cancer risk
of about 80% by age 70, whereas monoallelic MYH mutation-associated
risk of colorectal cancer appears to be relatively
minimal. Inheritance for high-risk colorectal cancer
predisposition is autosomal recessive in contrast to
FAP. When relatively few (10 - 99) adenomas are present
and family history is unavailable, the differential
diagnosis may include both MAP and Lynch syndrome;
genetic testing in this situation could include APC,
MYH if APC is negative for mutations, and screening
for mutations associated with Lynch syndrome.
Position Statement
- The evidence is sufficient to suggest that genetic
testing for adenosis polyposis coli (APC) gene mutations
may be helpful in guiding healthcare decisions related
to surveillance and prevention in the following groups
of patients:
- Family members of patients with FAP and a known
APC mutation.
Those that test positive for an APC mutation may
use the information to make surveillance and treatment
decisions. Those without the specific mutation
have not inherited the susceptibility gene and
can forego intense surveillance (although they
retain the same risk as the general population
and should continue an appropriate level of surveillance).
- Patients with a differential diagnosis of attenuated
FAP vs. MYH-associated polyposis vs. Lynch syndrome.
These patients do not meet the clinical diagnostic
criteria for classical FAP, and have few adenomatous
colonic polyps.
- The evidence is sufficient to conclude that genetic
testing for APC gene mutations is not medically necessary
for the diagnosis or management of patients with
a clinical presentation of classical FAP. In
this group of patients, testing for the APC mutation
provides no additional information that will impact
treatment decisions.
A BlueCross BlueShield Association Technology Evaluation
Center (TEC) Assessment concluded the following [37]:
- Genetic testing for FAP may improve health outcomes
by identifying which currently unaffected at-risk
family members require intense surveillance or prophylactic
colectomy.
- At-risk subjects are considered to be those close
relatives of patients with clinically diagnosed FAP,
or close relatives of patients with an identified
APC mutation.
- The optimal testing strategy is to define the specific
genetic mutation in an affected family member and
then test the unaffected family members to see if
they have inherited the same mutation.
The National Comprehensive Cancer Network guidelines
recommend APC testing for at-risk family members who
are from families with a history of classical FAP. [38]
Clinical practice guidelines published by the American
Gastroenterological Association state genetic testing
should be considered in patients with FAP who have
relatives at risk, and genetic counseling should guide
genetic testing and considerations of colectomy. [39] They
further state that genetic testing in children can
be delayed until age 10.
Lynch Syndrome (Hereditary nonpolyposis Colorectal
Cancer [HNPCC])
Background [35]
Patients with Lynch syndrome have a predisposition
to colorectal cancer and other extracolonic malignancies
as a result of an inherited mutation in a DNA mismatch
repair (MMR) gene. The term “HNPCC” originated
prior to the discovery of explanatory MMR mutations
for many of these patients, and now includes some who
are negative for MMR mutations and likely have mutations
in as-yet unidentified genes. For purposes of clarity
and analysis, the use of Lynch syndrome in place of
HNPCC has been recommended in several recent editorials
and publications.
Lynch syndrome is estimated to account for 2% to 4%
of colorectal cancer and is also associated with an
increased risk of other cancers such as endometrial,
ovarian, urinary tract, and biliary tract cancer. Lynch
syndrome is associated with a risk of developing colorectal
cancer of approximately 15% by age 40, and 40% by age
70, although these estimates vary considerably among
studies. Lynch syndrome patients who have colorectal
cancer also have an estimated 16% risk of a second
primary within 10 years. The risk for other Lynch syndrome-related
cancers is about 22% for men and 34% for women by age
70.
Lynch syndrome is associated with any of a large number
of possible mutations in 1 of 4 MMR genes, known as
MLH1, MSH2, MSH6, and PMS2. About 70% of Lynch syndrome
patients have mutations in either MLH1 or MSH2. Testing
for MMR gene mutations is often limited to MLH1 and
MSH2 and, sometimes, MSH6; clinical testing for PMS2
mutations has only more recently become available.
Gene sizes and the difficulty of detecting mutations
in these genes make direct sequencing a time- and cost-consuming
process. Thus, additional indirect screening methods
are needed to determine which patients should proceed
to direct sequencing for MMR gene mutations. Available
screening methods are microsatellite instability (MSI)
testing or immunohistochemical (IHC) testing. BRAF
gene mutation testing is an optional screening method
that may be used in conjunction with IHC testing for
MLH1 to improve efficiency.
Mutations in MMR genes result in a failure of the
mismatch repair system to repair errors that occur
during the replication of DNA in tumor tissue. Such
errors are characterized by the accumulation of alterations
in the length of simple, repetitive microsatellite
sequences that are distributed throughout the genome
(MSI). Absent or reduced protein expression may
be a consequence of an MMR gene mutation. IHC assays
for the expression of MLH1, MSH2, MSH6, and PMS2 can
be used to detect loss of expression of these genes
and to focus sequencing efforts on a single gene. It
is also possible for IHC assays to show loss of expression,
and thus indicate the presence of a mutation, when
sequencing is negative for a mutation. In such cases,
mutations may be in unknown regulatory elements and
cannot be detected by sequencing of the protein coding
regions. Thus IHC may add additional information.
The BRAF gene is often mutated in colorectal cancer. To
date no MLH1 gene mutations have been reported when
a particular BRAF mutation (1799 T>A transversion,
also identified as V600E) is present. Therefore, patients
negative for MLH1 protein expression by IHC, and therefore
potentially positive for an MLH1 mutation, could first
be screened for a BRAF mutation. BRAF-positive samples
need not be further tested by MLH1 sequencing.
Position Statement
The evidence is sufficient to suggest that genetic
testing for MMR mutations may be effective in guiding
surveillance and treatment decisions in select individuals
based on personal and/or family history (see
criteria).
The evidence from an Agency for Healthcare Research
and Quality [AHRQ] report [40], a supplemental
assessment to that report contracted by the Evaluation
of Genomic Applications in Practice and Prevention
(EGAPP) Working Group [41], and an EGAPP
recommendation for genetic testing in colorectal cancer [42] provides
the basis for this policy. The EGAPP recommendation
reached the following conclusions concerning genetic
testing for MMR mutations:
- Family history, while important information to
elicit and consider in each case, has poor sensitivity
and specificity as a screening test to determine
who should be considered for MMR mutation testing
and should not be used as a sole determinant or screening
test.
- MSI and IHC screening tests for MMR mutations have
similar sensitivity and specificity. MSI screening
has a sensitivity of about 89% for MLH1 and MSH2
and 77% for MSH6, and a specificity of about 90%
for all. It is likely that, using high quality MSI
testing methods, these parameters can be improved.
IHC screening has a sensitivity for MLH1, MSH2, and
MSH6 of about 83% and a specificity of about 90%
for all.
- For patients who are negative for MLH1 expression
by IHC, optional BRAF testing can be used to reduce
the number of patients needing MLH1 gene sequencing,
thus improving efficiency without reducing sensitivity
for MMR mutations.
- The chain of indirect evidence from well-designed
experimental nonrandomized studies was adequate to
demonstrate the clinical utility of testing unaffected
(without cancer) first- and second-degree relatives
of patients with Lynch syndrome who have a known
MMR mutation. Seven studies examined how counseling
affected testing and surveillance choices among unaffected
family members of Lynch syndrome patients. About
half of relatives received counseling, and 95% of
these chose MMR gene mutation testing. Among those
positive for MMR gene mutations, uptake of colonoscopic
surveillance beginning at age 20–25 years was
high at 53–100%. One long-term,
nonrandomized controlled study and one cohort study
of Lynch syndrome family members found significant
reductions in colorectal cancer among those who followed
recommended colonic surveillance vs. those who did
not.
- The chain of evidence from descriptive studies
and expert opinion was inadequate (inconclusive)
to demonstrate the clinical utility of testing the
probands with Lynch syndrome (i.e., cancer index
patient). In other words, clinical treatment decisions
were not changed for Lynch syndrome patients with
cancer.
- Based on an indirect chain of evidence with adequate
evidence of improved health outcomes to unaffected
family members found to have Lynch syndrome, the
EGAPP working group recommended testing all patients
with colorectal cancer for MMR gene mutations.
- Although MMR gene sequencing of all patients is
the most sensitive strategy, it is highly inefficient
and cost-ineffective and not recommended. Rather,
a screening strategy of MSI or IHC testing (with
or without optional BRAF testing) is recommended
and retains a relatively high sensitivity. A
particular strategy was not recommended by the EGAPP
Working Group.
Previous recommendations have used family history
as an initial screen to determine who should proceed
further to MMR laboratory testing. A recent study showed
that limiting laboratory testing to patients who met
even the more sensitive Bethesda criteria (i.e., compared
to the Amsterdam II criteria) would miss 28% of Lynch
syndrome cases. [43] Family history is important
for counseling families, but based on this and similar
evidence is not recommended as an initial screening
tool to make decisions about testing patients who already
have colorectal cancer. However, the Amsterdam or Revised
Bethesda criteria may be used in identifying those
without colorectal cancer who might be tested.
As the EGAPP recommendations noted, the evidence to
date is limited to clearly support benefit from genetic
testing to the index patient with colorectal cancer
if found to have Lynch syndrome. However, professional
societies have reviewed the evidence and concluded
that genetic testing likely has direct benefits for
at least some patients with colorectal cancer and Lynch
syndrome who choose prophylactic surgical treatment. [44-49]
Congenital Long QT Syndrome
(LQTS) [50] Back
to Table
The evidence is sufficient to suggest that knowledge
of LQTS mutation status may be effective in guiding
healthcare decisions in individuals who do not meet
the clinical criteria for the condition but who are
at risk based on personal or family history.
- A BlueCross BlueShield Association Technology Evaluation
Center (TEC) Assessment concluded the following [51,52]:
- Although there are limitations in the evidence
on clinical validity and utility, the overall case
strongly suggests that genetic testing will improve
outcomes in selected patient populations.
- Two large (n>500) studies compared the diagnostic
performance of clinical criteria and genetic testing.
[53,54] Both showed that genetic testing
identified more individuals with a LQTS mutation
compared to the number of patients diagnosed clinically
(which is known to substantially under diagnose
LQTS).
- Due to the catastrophic outcomes associated with
LQTS and the availability of low-risk treatments
that are efficacious in reducing adverse outcomes,
the clinical utility of genetic testing is high
for individuals with a known LQTS mutation in the
family but who do not themselves meet the clinical
criteria for LQTS . The risk of undertreatment
of such individuals is likely to far outweigh the
risk of overtreatment. Also, the disease
can be ruled out with certainty if results are
negative because the specific mutation is known
prior to testing.
- For patients who have some signs and symptoms
of LQTS, but no known mutation in the family, testing
may also be beneficial. In this situation, LQTS
can be diagnosed with reasonable certainty if a
class I mutation is identified, however the likelihood
of false-positive results is higher than if a known
mutation was present in the family. In patients
with lower pretest probabilities of disease, the
utility of testing declines.
- Genetic testing for LQTS has not been demonstrated
to improve outcomes when used to direct therapy
or determine prognosis in those individuals who
already meet clinical criteria for LQTS. There
is no evidence to suggest that genetic testing
influences clinical decisions concerning treatment
(beta blockers, lifestyle change, implantable cardioverter-defibrillator).
Cystic Fibrosis (CF) Back
to Table
The evidence is sufficient to suggest that genetic
testing to determine carrier status for CF may be helpful
in guiding healthcare decisions related to reproduction.
- The goal of screening for CF carrier status is
to identify couples at risk for having a child with
CF, allowing them to consider a range of reproductive
options. For example, knowledge of carrier
status may affect decisions concerning conception,
use of donor gametes, preimplantation genetic diagnosis,
or prenatal genetic testing.
- The National Institutes of Health (NIH) published
an evidence-based consensus statement which concluded
that genetic testing for cystic fibrosis should
be offered to the following groups [55]:
- Adults with a positive family history of CF and
partners of those with CF
Individuals with a family history of CF have relatively
high frequencies of mutations in the CFTR gene,
so testing in this population can be helpful with
regard to reproductive decision-making.
- Couples currently planning a pregnancy or couples seeking
prenatal testing, particularly those in high-risk populations
Data indicated there was a significant level of
interest in testing in this population, more so
than in the general population, and knowledge of
CF carrier status influenced reproductive decision-making. The
NIH panel noted that there were several specific
populations (Ashkenazi Jews, Celtic Bretons, French
Canadians from Quebec, some Native Americans, and
U.S. Caucasians) for which 90-95 percent sensitivity
could be achieved when testing for the most common
detectable mutations.
- The NIH did not recommend large-scale testing of
the general population due to the low incidence and
prevalence of CF and the demonstrated lack of interest
in testing from this population. Likewise,
testing in the general newborn population was not
recommended as there was insufficient evidence to
demonstrate that earlier identification of CF improved
health outcomes. [55]
- The American College of Obstetricians and Gynecologists
(ACOG) and the American College of Medical Genetics
(ACMG) jointly issued clinical and laboratory guidelines
for preconception and prenatal carrier screening
for CF that mirror the NIH guidelines. [56] A
subsequent ACOG Committee opinion further supported
the NIH guidelines. [57]
Familial
Medullary Thyroid Cancer [58] Back
to Table
The evidence is sufficient to suggest that genetic
testing for germline point mutations in the RET gene
may be helpful in guiding healthcare decisions related
to surveillance and prevention.
- A BlueCross BlueShield Association Technology Evaluation
Center (TEC) Assessment which evaluated data from
35 clinical studies concluded the following [59,60]:
- Genetic tests for germline point mutations in
the RET gene can identify those with an inherited
susceptibility for medullary thyroid cancer earlier
and more definitively than is possible with annual
biochemical tests.
- In newly diagnosed patients without a family
history, testing distinguishes sporadic from inheritable
tumors.
- Test results affect patient management by prompting
thyroidectomy or continued biochemical monitoring
in affected patients, and by prompting discontinuation
of monitoring in patients who test negative.
- The National Comprehensive Cancer Network guidelines
recommend genetic counseling (which may include testing)
once a diagnosis of either MEN 1 or MEN 2 syndromes
is made. [61]
Human DNA in Stool Samples
for Colorectal Cancer Screening [62]
Back
to Table
The available evidence is uncertain with respect to
how results from genetic testing of stool samples can
be used to benefit patient management. Specifically
for high risk patients, it is uncertain if the test
should be used in lieu of routinely scheduled surveillance
colonoscopies or during intervals between scheduled
colonoscopies. For average risk patients, it
is uncertain if testing should be offered in lieu of,
or as an adjunct to other recommended colorectal cancer
screening tests, including fecal occult blood testing
and colonoscopy. [63]
High Risk
- In patients at high risk for colon cancer due to
either family history or HNPCC mutation, colonoscopy
at varying intervals is recommended by the American
Society of Colorectal Surgeons, the American Gastroenterological
Society, and the American Cancer Society. [64] Therefore,
the diagnostic performance of DNA analysis of stool
samples should be compared with colonoscopy.
- No clinical trials have been published that evaluate
use of genetic testing of stool samples in those
at high risk for colon cancer.
Average Risk
- For patients at average to moderate risk of colon
cancer, genetic testing of stool samples should be
compared to colonoscopy and also to fecal occult
blood testing, the other entirely noninvasive technique. Patient
acceptance of the different options is also a relevant
outcome as there is a need to increase screening
compliance.
- Results from the largest study of patients at average
risk for colon cancer were unreliable due to the
following limitations [65]:
- An intention-to-treat analysis was not conducted,
so results from this data are uncertain. Approximately
20% of subjects were not evaluated (12% did not
provide an adequate stool sample for DNA testing;
8% did not complete FOBT cards; 14% did not complete
colonoscopy).
- The observed sensitivity for cancer of the Hemoccult
II FOBT (one of the comparator tests) was lower
at 13% than reported in other studies. This
difference requires additional study.
- The confidence intervals around the sensitivity
of fecal DNA ranged from 35–68%. This
wide interval precludes any firm estimates of the
magnitude of benefit associated with fecal DNA
testing. [66]
- The Hemoccult II FOBT tests were performed at
each of the 81 study sites (including private-practice
and university-based settings); quality control
procedures were not described. In contrast, the
DNA test was conducted in a single laboratory.
Screening requires dissemination of the DNA test
to more laboratories, which could introduce greater
variability in results.
- The U.S. Preventive Services Task Force judged
fecal DNA testing to have insufficient evidence to
assess the benefits and harms of testing for all
populations. [67,68] This assessment
was based on the trial summarized above. [65]
- Updated guidelines for colon cancer screening were
also issued in 2008 by a group consisting of the
American Cancer Society, the U.S. Multi-Society Task
Force on Colorectal Cancer, and the American College
of Radiology. [69] This guideline
endorses the use of fecal DNA testing as an acceptable
means of colon cancer screening. However, unlike
all the other recommendations in this guideline which
recommended specific time intervals between tests,
the recommended interval for fecal DNA testing is “uncertain.” The
document notes that the manufacturer of the one commercially
available test recommends a 5-year interval after
an examination with normal results. Such an interval
was judged by the committee to be only suitable for
a test that has high sensitivity for both cancer
and adenomatous polyps—a standard that has
not been documented for fecal DNA to date.
The evidence supporting this joint guideline consisted of the previously summarized
study [65] and additional older studies of diagnostic performance
that did not use screening populations but used previously diagnosed or advanced
cancer patients.
Prostate Cancer [70] Back
to Table
There is insufficient evidence to determine whether any gene-based tests improve screening, detection, or clinical management of prostate cancer.
- Gene-based tests are being studied to address several challenges in the clinical management of prostate cancer:
- risk assessment
- early and accurate detection
- monitoring low-risk patients undergoing surveillance only
- prediction of recurrence after initial treatment
- detection of recurrence after treatment
- assessing efficacy of treatment for advanced disease
- The evidence for genetic tests related to prostate cancer screening, detection, and management addresses clinical validity rather than clinical utility.
- There is currently no evidence that using gene-based
tests will change prostate cancer treatment decisions
and improve subsequent health outcomes such as mortality,
morbidity, or quality of life. [71]
Single-nucleotide polymorphisms (SNPs) for risk
assessment [71]
- Specific SNP panels are being developed for use as risk assessment tools to identify those men who should start disease surveillance early and be monitored frequently. However, these tests do not predict certainty of disease, nor do they clearly predict aggressive versus indolent disease.
- There are no prospective studies which demonstrate that monitoring of high-risk men identified by SNP assays compared to standard clinical predictors (age, serum PSA, and family history) improves health outcomes.
PCA3 for disease diagnosis [71]
PCA3 is overexpressed in prostate cancer and PCA3 mRNA can be detected in urine samples collected after prostate massage. When normalized using PSA to account for the amount of prostate cells released into the urine (“PCA3 Score”) the test has significantly improved specificity compared to PSA. It may better discriminate patients with eventual benign (first or second) biopsies from those with malignant biopsy results. In particular, the test may be especially helpful at identifying patients with elevated PSA but negative first biopsy who need a follow-up biopsy.
- Based on several studies, average PCA3 Score sensitivity
and specificity for a positive prostate biopsy result
is about 61% and 74%, respectively. [72-79] One
study reported that incorporating the PCA3 Score
into the Prostate Cancer Prevention Trial risk calculator
improved the diagnostic accuracy of the calculator.
[80]
- One preliminary study suggests that PCA3 Score
may also have value in identifying patients with
less aggressive cancer who may only need surveillance.
[81] Another suggests that PCA3 Score
predicts extracapsular extension. [82] These
applications, however, have not yet been pursued
in larger studies.
- In general, studies of PCA3 are preliminary. They report on clinical performance characteristics at various assay cutoff values. Interpretation of results has not been standardized, and clinical utility studies using assay results for decision-making for initial biopsy, repeat biopsy or treatment have not been reported.
TMPRSS fusion genes for diagnosis and prognosis [71]
TMPRSS2 fusion gene detection has been studied to identify aggressive disease or to predict disease recurrence.
- Fusion gene structure is variable and complex,
making it a difficult assay target. [83,84] As
a result, assays have not yet been standardized.
- There is conflicting evidence regarding the association
of TMPRSS2 fusion gene detection and biochemical
recurrence or survival outcomes of prostate cancer.
[83,85-90] TMPRSS2 fusion genes
are strongly associated with higher disease stage
[86,87,91], but associations
with Gleason scores (used to help determine the stage
of cancer) are conflicting. [86-89,91]
- There are no prospective studies in which TMPRSS fusion gene detection was used to direct clinical management of patients, so the impact of these tests on health outcomes are unknown.
Candidate gene panels for prostate cancer diagnosis
Because no single gene markers have been found that are both highly sensitive and highly specific for diagnosing prostate cancer, particularly in men already known to have elevated PSA levels, some investigators are combining several markers into a single diagnostic panel.
- Only single studies of various panels have been published. None were offered as clinical services.
- Clarient, Inc. launched a patent protected combination
of four genes to identify the presence of Grade 3
or higher prostate cancer in prostate tissue. This
test is reportedly based on a study that has been
submitted for publication but is not yet accepted
or available for evaluation. [92]
Gene hypermethylation for diagnosis and prognosis
Chromatin protein modifications that do not involve changes to the underlying DNA sequence but which can result in changes in gene expression are known as epigenetic changes. These changes have been identified in specific genes associated with prostate cancer.
- Studies are primarily small, retrospective pilot evaluations of the hypermethylation status of various candidate genes for discriminating prostate cancer from benign conditions (diagnosis) or for predicting disease recurrence and association with clinicopathologic predictors of aggressive disease (prognosis).
- Standardized assays and interpretation criteria have not yet been agreed upon to enable consistency and comparison of results across studies.
- GSTP1 is the most widely studied methylation marker
for prostate cancer, usually as a diagnostic application.
Many studies have reported on the association of
GSTP1 with prostate cancer; however results from
these studies are contradictory. [93-96] No
studies evaluated the clinical utility of GSTP1.
REFERENCES
- Debruyne, FM, Jardin, A, Colloi,
D, et al. Sustained-release alfuzosin, finasteride
and the combination of both in the treatment of benign
prostatic hyperplasia. European ALFIN Study Group. Eur
Urol. 1998 Sep;34(3):169-75. PMID: 9732187
- Bernstein, IL, Li, JT, Bernstein,
DI, et al. Allergy diagnostic testing: an updated
practice parameter. Ann Allergy Asthma Immunol.
2008 Mar;100(3 Suppl 3):S1-148. PMID: 18431959
- Umar, A, Boland, CR, Terdiman,
JP, et al. Revised Bethesda Guidelines for hereditary
nonpolyposis colorectal cancer (Lynch syndrome) and
microsatellite instability. J Natl Cancer Inst.
2004 Feb 18;96(4):261-8. PMID: 14970275
- Morin,
CM, Vallieres, A, Guay, B, et al. Cognitive behavioral
therapy, singly and combined with medication, for
persistent insomnia: a randomized controlled trial. JAMA.
2009 May 20;301(19):2005-15. PMID: 19454639
- BlueCross
BlueShield Association Medical Policy Reference
Manual "Apolipoprotein E Genotype or Phenotype
in the Management of Cardiovascular Disease." Policy
No. 2.04.25
- Davignon,
J, Gregg, RE, Sing, CF. Apolipoprotein E polymorphism
and atherosclerosis. Arteriosclerosis.
1988 Jan-Feb;8(1):1-21. PMID: 3277611
- Hallman,
DM, Boerwinkle, E, Saha, N, et al. The apolipoprotein
E polymorphism: a comparison of allele frequencies
and effects in nine populations. Am J Hum Genet.
1991 Aug;49(2):338-49. PMID: 1867194
- Vaisi-Raygani,
A, Rahimi, Z, Nomani, H, Tavilani, H, Pourmotabbed,
T. The presence of apolipoprotein epsilon4 and
epsilon2 alleles augments the risk of coronary
artery disease in type 2 diabetic patients. Clin
Biochem. 2007 Oct;40(15):1150-6. PMID:
17689519
- Schmitz,
F, Mevissen, V, Krantz, C, et al. Robust association
of the APOE epsilon4 allele with premature myocardial
infarction especially in patients without hypercholesterolaemia:
the Aachen study. Eur J Clin Invest. 2007
Feb;37(2):106-8. PMID: 17217375
- Koch, W,
Hoppmann, P, Schomig, A, Kastrati, A. Apolipoprotein
E gene epsilon2/epsilon3/epsilon4 polymorphism
and myocardial infarction: case-control study in
a large population sample. Int J Cardiol.
2008 Mar 28;125(1):116-7. PMID: 17433475
- Kulminski,
AM, Ukraintseva, SV, Arbeev, KG, et al. Health-protective
and adverse effects of the apolipoprotein E epsilon2
allele in older men. J Am Geriatr Soc.
2008 Mar;56(3):478-83. PMID: 18179501
- Wilson,
PW, Myers, RH, Larson, MG, Ordovas, JM, Wolf, PA,
Schaefer, EJ. Apolipoprotein E alleles, dyslipidemia,
and coronary heart disease. The Framingham Offspring
Study. JAMA. 1994 Dec 7;272(21):1666-71. PMID:
7966894
- Wilson,
PW, Schaefer, EJ, Larson, MG, Ordovas, JM. Apolipoprotein
E alleles and risk of coronary disease. A meta-analysis. Arterioscler
Thromb Vasc Biol. 1996 Oct;16(10):1250-5. PMID:
8857921
- Eichner,
JE, Kuller, LH, Orchard, TJ, et al. Relation of
apolipoprotein E phenotype to myocardial infarction
and mortality from coronary artery disease. Am
J Cardiol. 1993 Jan 15;71(2):160-5. PMID:
8421977
- Frikke-Schmidt,
R, Tybjaerg-Hansen, A, Steffensen, R, Jensen, G,
Nordestgaard, BG. Apolipoprotein E genotype: epsilon32
women are protected while epsilon43 and epsilon44
men are susceptible to ischemic heart disease:
the Copenhagen City Heart Study. J Am Coll
Cardiol. 2000 Apr;35(5):1192-9. PMID:
10758960
- de Andrade,
M, Thandi, I, Brown, S, Gotto, A, Jr., Patsch,
W, Boerwinkle, E. Relationship of the apolipoprotein
E polymorphism with carotid artery atherosclerosis. Am
J Hum Genet. 1995 Jun;56(6):1379-90. PMID:
7762561
- Volcik,
KA, Barkley, RA, Hutchinson, RG, et al. Apolipoprotein
E polymorphisms predict low density lipoprotein
cholesterol levels and carotid artery wall thickness
but not incident coronary heart disease in 12,491
ARIC study participants. Am J Epidemiol.
2006 Aug 15;164(4):342-8. PMID: 16760224
- Bennet,
AM, Di Angelantonio, E, Ye, Z, et al. Association
of apolipoprotein E genotypes with lipid levels
and coronary risk. JAMA. 2007 Sep 19;298(11):1300-11. PMID:
17878422
- Executive
Summary of The Third Report of The National Cholesterol
Education Program (NCEP) Expert Panel on Detection,
Evaluation, And Treatment of High Blood Cholesterol
In Adults (Adult Treatment Panel III). JAMA.
2001 May 16;285(19):2486-97. PMID: 11368702
- Sarkkinen,
E, Korhonen, M, Erkkila, A, Ebeling, T, Uusitupa,
M. Effect of apolipoprotein E polymorphism on serum
lipid response to the separate modification of
dietary fat and dietary cholesterol. Am J Clin
Nutr. 1998 Dec;68(6):1215-22. PMID:
9846849
- Ordovas,
JM, Mooser, V. The APOE locus and the pharmacogenetics
of lipid response. Curr Opin Lipidol.
2002 Apr;13(2):113-7. PMID: 11891412
- Carmena,
R, Roederer, G, Mailloux, H, Lussier-Cacan, S,
Davignon, J. The response to lovastatin treatment
in patients with heterozygous familial hypercholesterolemia
is modulated by apolipoprotein E polymorphism. Metabolism.
1993 Jul;42(7):895-901. PMID: 8345800
- Chiodini,
BD, Franzosi, MG, Barlera, S, et al. Apolipoprotein
E polymorphisms influence effect of pravastatin
on survival after myocardial infarction in a Mediterranean
population: the GISSI-Prevenzione study. Eur
Heart J. 2007 Aug;28(16):1977-83. PMID:
17567623
- Donnelly,
LA, Palmer, CN, Whitley, AL, et al. Apolipoprotein
E genotypes are associated with lipid-lowering
responses to statin treatment in diabetes: a Go-DARTS
study. Pharmacogenet Genomics. 2008 Apr;18(4):279-87. PMID:
18334912
- Vossen,
CY, Hoffmann, MM, Hahmann, H, Wusten, B, Rothenbacher,
D, Brenner, H. Effect of APOE genotype on lipid
levels in patients with coronary heart disease
during a 3-week inpatient rehabilitation program. Clin
Pharmacol Ther. 2008 Aug;84(2):222-7. PMID:
18388879
- Lu, CS,
Chen, RS, Tsai, CH. Double-blind, placebo-controlled
study of botulinum toxin injections in the treatment
of cervical dystonia. J Formos Med Assoc.
1995 Apr;94(4):189-92. PMID: 7606182
- BlueCross
BlueShield Association Medical Policy Reference
Manual "Biomarker Genes for Detection of Lymph
Node Metastases in Breast Cancer." Policy
No. 2.04.47
- TEC Assessment
2007. "Use of GeneSearch Breast Lymph Node
Assay to Detect Sentinel Node Metastases in Early
Stage Breast Cancer." BlueCross BlueShield
Association Technology Evaluation Center, Vol.
22, Tab 8.
- FDA 501(k)
approval. [cited 02/10/2009]; Available from: http://www.accessdata.fda.gov/cdrh_docs/pdf8/K080896.pdf
- Martin
Martinez, MD, Veys, I, Majjaj, S, et al. Clinical
validation of a molecular assay for intra-operative
detection of metastases in breast sentinel lymph
nodes. Eur J Surg Oncol. 2009 Apr;35(4):387-92. PMID:
18639429
- Viale,
G, Dell'Orto, P, Biasi, MO, et al. Comparative
evaluation of an extensive histopathologic examination
and a real-time reverse-transcription-polymerase
chain reaction assay for mammaglobin and cytokeratin
19 on axillary sentinel lymph nodes of breast carcinoma
patients. Ann Surg. 2008 Jan;247(1):136-42. PMID:
18156933
- Mansel,
RE, Goyal, A, Douglas-Jones, A, et al. Detection
of breast cancer metastasis in sentinel lymph nodes
using intra-operative real time GeneSearch BLN
Assay in the operating room: results of the Cardiff
study. Breast Cancer Res Treat. 2009 Jun;115(3):595-600. PMID:
18716862
- Breast
Cancer. National Comprehensive Cancer Network Clinical
Practice Guidelines in Oncology.v.1.2010. [cited
11/2009]; Available from: http://www.nccn.org/professionals/physician_gls/PDF/breast.pdf
- Burdach,
S, Jurgens, H, Peters, C, et al. Myeloablative
radiochemotherapy and hematopoietic stem-cell rescue
in poor-prognosis Ewing's sarcoma. J Clin Oncol.
1993 Aug;11(8):1482-8. PMID: 8101562
- Leventhal,
BL, Cook, EH, Jr., Morford, M, Ravitz, AJ, Heller,
W, Freedman, DX. Clinical and neurochemical effects
of fenfluramine in children with autism. J
Neuropsychiatry Clin Neurosci. 1993 Summer;5(3):307-15. PMID:
8369641
- Burt RW,
Jasperson KW. APC-associated polyposis conditions.
GeneReviews, last updated July 24, 2008. [cited
03/23/2010]; Available from: http://www.ncbi.nlm.nih.gov/bookshelf/br.fcgi?book=gene&part=fap
- TEC Assessment
1998. "Genetic testing for inherited susceptibility
to colorectal cancer: Part I - Adenomatous polyposis
coli gene mutations." BlueCross BlueShield
Association Technology Evaluation Center
- NCCN Clinical
Practice Guidelines in OncologyTM. Colorectal Cancer
Screening V.1.2010. [cited 03/23/2010]; Available
from: http://www.nccn.org/professionals/physician_gls/PDF/colorectal_screening.pdf
- Winawer,
SJ, Fletcher, RH, Miller, L, et al. Colorectal
cancer screening: clinical guidelines and rationale. Gastroenterology.
1997 Feb;112(2):594-642. PMID: 9024315
- Bonis PA,
Trikalinos TA, Chung M et al. Hereditary Nonpolyposis
Colorectal Cancer: Diagnostic Strategies and Their
Implications. Evidence Report/Technology Assessment
No. 150 (Prepared by Tufts-New England Medical
Center Evidence-based Practice Center under Contract
No. 290-02-0022). AHRQ Publication No. 07-E008.
Rockville, MD: Agency for Healthcare Research and
Quality. May 2007. [cited 03/23/2010]; Available
from: http://www.ncbi.nlm.nih.gov/books/bv.fcgi?rid=hstat1b.chapter.80582
- Palomaki,
GE, McClain, MR, Melillo, S, Hampel, HL, Thibodeau,
SN. EGAPP supplementary evidence review: DNA testing
strategies aimed at reducing morbidity and mortality
from Lynch syndrome. Genet Med. 2009 Jan;11(1):42-65. PMID:
19125127
- Recommendations
from the EGAPP Working Group: genetic testing strategies
in newly diagnosed individuals with colorectal
cancer aimed at reducing morbidity and mortality
from Lynch syndrome in relatives. Genet Med.
2009 Jan;11(1):35-41. PMID: 19125126
- Hampel,
H, Frankel, WL, Martin, E, et al. Feasibility of
screening for Lynch syndrome among patients with
colorectal cancer. J Clin Oncol. 2008
Dec 10;26(35):5783-8. PMID: 18809606
- Wright,
S, Valdes, CT, Dunn, RC, Franklin, RR. Short-term
Lupron or danazol therapy for pelvic endometriosis. Fertil
Steril. 1995 Mar;63(3):504-7. PMID:
7851578
- Burke,
W, Petersen, G, Lynch, P, et al. Recommendations
for follow-up care of individuals with an inherited
predisposition to cancer. I. Hereditary nonpolyposis
colon cancer. Cancer Genetics Studies Consortium. JAMA.
1997 Mar 19;277(11):915-9. PMID: 9062331
- Van Dalen,
R, Church, J, McGannon, E, Fay, S, Burke, C, Clark,
B. Patterns of surgery in patients belonging to
amsterdam-positive families. Dis Colon Rectum.
2003 May;46(5):617-20. PMID: 12792437
- de Vos
tot Nederveen Cappel, WH, Buskens, E, van Duijvendijk,
P, et al. Decision analysis in the surgical treatment
of colorectal cancer due to a mismatch repair gene
defect. Gut. 2003 Dec;52(12):1752-5. PMID:
14633956
- Guillem,
JG, Wood, WC, Moley, JF, et al. ASCO/SSO review
of current role of risk-reducing surgery in common
hereditary cancer syndromes. J Clin Oncol.
2006 Oct 1;24(28):4642-60. PMID: 17008706
- Lynch,
HT, Casey, MJ. Prophylactic surgery prevents endometrial
and ovarian cancer in Lynch syndrome. Nat Clin
Pract Oncol. 2007 Dec;4(12):672-3. PMID:
17971803
- Jantunen,
IT, Muhonen, TT, Kataja, VV, Flander, MK, Teerenhovi,
L. 5-HT3 receptor antagonists in the prophylaxis
of acute vomiting induced by moderately emetogenic
chemotherapy--a randomised study. Eur J Cancer.
1993;29A(12):1669-72. PMID: 8398291
- BlueCross
BlueShield Association Medical Policy Reference
Manual "Genetic Testing for Congenital Long
QT Syndrome." Policy No. 2.04.43
- TEC Assessment
2007. "Genetic Testing for Long QT Syndrome." BlueCross
BlueShield Association Technology Evaluation Center,
Vol. 22, Tab 9.
- Hofman,
N, Wilde, AA, Kaab, S, et al. Diagnostic criteria
for congenital long QT syndrome in the era of molecular
genetics: do we need a scoring system? Eur
Heart J. 2007 Mar;28(5):575-80. PMID:
17090615
- Tester,
DJ, Will, ML, Haglund, CM, Ackerman, MJ. Effect
of clinical phenotype on yield of long QT syndrome
genetic testing. J Am Coll Cardiol. 2006
Feb 21;47(4):764-8. PMID: 16487842
- Genetic
testing for cystic fibrosis. NIH Consens Statement.
1997 Apr 14-16;15(4):1-37. PMID: 9532980
- American
College of Obstetricians and Gynecologists and
American College of Medical Genetics. Preconception
and Prenatal Carrier Screening for Cystic Fibrosis;
Clinical and Laboratory Guidelines. . Washington
DC: ACOG; October 2001
- ACOG Committee
Opinion. Number 325, December 2005. Update on carrier
screening for cystic fibrosis. Obstet Gynecol.
2005 Dec;106(6):1465-8. PMID: 16319281
- Green,
S, Buchbinder, R, Glazier, R, Forbes, A. Systematic
review of randomised controlled trials of interventions
for painful shoulder: selection criteria, outcome
assessment, and efficacy. BMJ. 1998 Jan
31;316(7128):354-60. PMID: 9487172
- TEC Assessment
1997. "Genetic Testing for Germline Mutations
of the RET proto-oncogene in Medullary Carcinoma
of the Thyroid." BlueCross BlueShield Association
Technology Evaluation Center, Vol. 12, Tab 12.
- BlueCross
BlueShield Association Medical Policy Reference
Manual "Genetic Testing for Germline Mutations
of the RET Proto-Oncogene in Medullary Carcinoma
of the Thyroid." Policy No. 2.04.05
- NCCN Clinical
Practice Guidelines in OncologyTM. Neuroendocrine
Tumors V.1.2008. [cited 03/10/2010]; Available
from: http://www.nccn.org/professionals/physician_gls/PDF/neuroendocrine.pdf
- Daoud,
EG, Morady, F. Pathophysiology of atrial flutter. Annu
Rev Med. 1998;49:77-83. PMID: 9509250
- BlueCross
BlueShield Association Medical Policy Reference
Manual "Analysis of Human DNA in Stool Samples
as a Technique for Colorectal Cancer Screening " Policy
No. 2.04.29
- National
Guideline Clearinghouse. [cited 03/10/2010]; Available
from: www.guidelines.gov
- Imperiale,
TF, Ransohoff, DF, Itzkowitz, SH, Turnbull, BA,
Ross, ME. Fecal DNA versus fecal occult blood for
colorectal-cancer screening in an average-risk
population. N Engl J Med. 2004 Dec 23;351(26):2704-14. PMID:
15616205
- Woolf,
SH. A smarter strategy? Reflections on fecal DNA
screening for colorectal cancer. N Engl J Med.
2004 Dec 23;351(26):2755-8. PMID: 15616212
- Screening
for colorectal cancer: U.S. Preventive Services
Task Force recommendation statement. Ann Intern
Med. 2008 Nov 4;149(9):627-37. PMID:
18838716
- Whitlock,
EP, Lin, JS, Liles, E, Beil, TL, Fu, R. Screening
for colorectal cancer: a targeted, updated systematic
review for the U.S. Preventive Services Task Force. Ann
Intern Med. 2008 Nov 4;149(9):638-58. PMID:
18838718
- Levin,
B, Lieberman, DA, McFarland, B, et al. Screening
and surveillance for the early detection of colorectal
cancer and adenomatous polyps, 2008: a joint guideline
from the American Cancer Society, the US Multi-Society
Task Force on Colorectal Cancer, and the American
College of Radiology. CA Cancer J Clin.
2008 May-Jun;58(3):130-60. PMID: 18322143
- BlueCross
BlueShield Association Medical Policy Reference
Manual "Gene-Based Tests for Screening, Detection,
and/or Management of Prostate Cancer." Policy
No. 2.04.33
- TEC Assessment
2008. "Special report: recent developments
in prostate cancer genetics and genetic testing." BlueCross
BlueShield Association Technology Evaluation Center,
Vol. 23, Tab 7.
- Marks,
LS, Fradet, Y, Deras, IL, et al. PCA3 molecular
urine assay for prostate cancer in men undergoing
repeat biopsy. Urology. 2007 Mar;69(3):532-5. PMID:
17382159
- Groskopf,
J, Aubin, SM, Deras, IL, et al. APTIMA PCA3 molecular
urine test: development of a method to aid in the
diagnosis of prostate cancer. Clin Chem.
2006 Jun;52(6):1089-95. PMID: 16627561
- van Gils,
MP, Cornel, EB, Hessels, D, et al. Molecular PCA3
diagnostics on prostatic fluid. Prostate.
2007 Jun 1;67(8):881-7. PMID: 17440939
- van Gils, MP, Hessels,
D, van Hooij, O, et al. The time-resolved fluorescence-based
PCA3 test on urinary sediments after digital rectal
examination; a Dutch multicenter validation of
the diagnostic performance. Clin Cancer Res.
2007 Feb 1;13(3):939-43. PMID: 17289888
- Deras, IL, Aubin,
SM, Blase, A, et al. PCA3: a molecular urine assay
for predicting prostate biopsy outcome. J Urol.
2008 Apr;179(4):1587-92. PMID: 18295257
- Groskopf J, DI, Blase
A et al. The PCA3 score is independent of prostate
gland volume and can synergize with other patient
information for predicting biopsy outcome. Abstract
No. 1709 ed: American Urological Association Annual
Meeting 2007.
- Haese, A, de la Taille,
A, van Poppel, H, et al. Clinical utility of the
PCA3 urine assay in European men scheduled for
repeat biopsy. Eur Urol. 2008 Nov;54(5):1081-8. PMID:
18602209
- Neves, AF, Araujo,
TG, Biase, WK, et al. Combined analysis of multiple
mRNA markers by RT-PCR assay for prostate cancer
diagnosis. Clin Biochem. 2008 Oct;41(14-15):1191-8. PMID:
18640109
- Ankerst, DP, Groskopf,
J, Day, JR, et al. Predicting prostate cancer risk
through incorporation of prostate cancer gene 3. J
Urol. 2008 Oct;180(4):1303-8; discussion 8. PMID:
18707724
- Nakanishi, H, Groskopf,
J, Fritsche, HA, et al. PCA3 molecular urine assay
correlates with prostate cancer tumor volume: implication
in selecting candidates for active surveillance. J
Urol. 2008 May;179(5):1804-9; discussion 9-10. PMID:
18353398
- Whitman, EJ, Groskopf,
J, Ali, A, et al. PCA3 score before radical prostatectomy
predicts extracapsular extension and tumor volume. J
Urol. 2008 Nov;180(5):1975-8; discussion 8-9. PMID:
18801539
- Wang, J, Cai, Y, Ren,
C, Ittmann, M. Expression of variant TMPRSS2/ERG
fusion messenger RNAs is associated with aggressive
prostate cancer. Cancer Res. 2006 Sep
1;66(17):8347-51. PMID: 16951141
- Clark, J, Merson,
S, Jhavar, S, et al. Diversity of TMPRSS2-ERG fusion
transcripts in the human prostate. Oncogene.
2007 Apr 19;26(18):2667-73. PMID: 17043636
- Nam, RK, Sugar, L,
Wang, Z, et al. Expression of TMPRSS2:ERG gene
fusion in prostate cancer cells is an important
prognostic factor for cancer progression. Cancer
Biol Ther. 2007 Jan;6(1):40-5. PMID:
17172822
- Nam, RK, Sugar, L,
Yang, W, et al. Expression of the TMPRSS2:ERG fusion
gene predicts cancer recurrence after surgery for
localised prostate cancer. Br J Cancer.
2007 Dec 17;97(12):1690-5. PMID: 17971772
- Mehra, R, Tomlins,
SA, Shen, R, et al. Comprehensive assessment of
TMPRSS2 and ETS family gene aberrations in clinically
localized prostate cancer. Mod Pathol.
2007 May;20(5):538-44. PMID: 17334343
- Winnes, M, Lissbrant,
E, Damber, JE, Stenman, G. Molecular genetic analyses
of the TMPRSS2-ERG and TMPRSS2-ETV1 gene fusions
in 50 cases of prostate cancer. Oncol Rep.
2007 May;17(5):1033-6. PMID: 17390040
- Demichelis, F, Fall,
K, Perner, S, et al. TMPRSS2:ERG gene fusion associated
with lethal prostate cancer in a watchful waiting
cohort. Oncogene. 2007 Jul 5;26(31):4596-9. PMID:
17237811
- FitzGerald, LM, Agalliu,
I, Johnson, K, et al. Association of TMPRSS2-ERG
gene fusion with clinical characteristics and outcomes:
results from a population-based study of prostate
cancer. BMC Cancer. 2008;8:230. PMID:
18694509
- Perner, S, Demichelis,
F, Beroukhim, R, et al. TMPRSS2:ERG fusion-associated
deletions provide insight into the heterogeneity
of prostate cancer. Cancer Res. 2006 Sep
1;66(17):8337-41. PMID: 16951139
- Clarient, Inc. Prostate
Gene Expression test. [cited 03/10/2010]; Available
from: http://www.clarientinc.com/Default.aspx?tabid=403
- Eilers, T, Machtens,
S, Tezval, H, et al. Prospective diagnostic efficiency
of biopsy washing DNA GSTP1 island hypermethylation
for detection of adenocarcinoma of the prostate. Prostate.
2007 May 15;67(7):757-63. PMID: 17373715
- Ellinger, J, Bastian,
PJ, Jurgan, T, et al. CpG island hypermethylation
at multiple gene sites in diagnosis and prognosis
of prostate cancer. Urology. 2008 Jan;71(1):161-7. PMID:
18242387
- Henrique, R, Ribeiro,
FR, Fonseca, D, et al. High promoter methylation
levels of APC predict poor prognosis in sextant
biopsies from prostate cancer patients. Clin
Cancer Res. 2007 Oct 15;13(20):6122-9. PMID:
17947477
- Woodson, K, O'Reilly,
KJ, Ward, DE, et al. CD44 and PTGS2 methylation
are independent prognostic markers for biochemical
recurrence among prostate cancer patients with
clinically localized disease. Epigenetics.
2006 Oct-Dec;1(4):183-6. PMID: 17998819
CROSS REFERENCES
Genetic
Testing for Familial Alzheimer's Disease, Regence
Medical Policy Manual, Genetic Testing, Policy No. 01
Genetic
Testing for Hereditary Breast and/or Ovarian Cancer, Regence
Medical Policy, Genetic Testing, Policy No. 02
Non-BRCA
Breast Cancer Risk Assessment (OncoVue), Regence
Medical Policy, Genetic Testing, Policy No. 03
Genetic
Testing for Cutaneous Malignant Melanoma, Regence
Medical Policy, Genetic Testing, Policy No. 08
Cytochrome
p450 Genotyping, Regence Medical Policy Manual,
Genetic Testing, Policy No. 10
KRAS
and BRAF Mutation Analysis in Metastatic Colorectal
Cancer, Regence Medical Policy, Genetic
Testing, Policy No. 13
KRAS
Mutation Analysis in Non-Small Cell Lung Cancer (NSCLC), Regence
Medical Policy, Genetic Testing, Policy No. 14
Microarray-Based
Gene Expression Testing for Cancers of Unknown Primary, Regence
Medical Policy, Genetic Testing, Policy No. 15
PathFinderTG® Molecular
Testing, Regence Medical Policy, Genetic
Testing, Policy No. 16
Preimplantation
Genetic Testing, Regence Medical Policy,
Genetic Testing, Policy No. 18
Multigene
Expression Assay for Predicting Recurrence in Colon
Cancer, Regence Medical Policy, Genetic Testing,
Policy No. 22
BCR-ABL
1 Testing for Chronic Myeloid Leukemia, Regence
Medical Policy Manual, Genetic Testing, Policy No.
27
KIF6
Genotyping for Predicting Cardiovascular Risk and/or
Effectiveness of Statin Therapy, Regence Medical
Policy Manual, Genetic Testing, Policy No. 32
BRAF
Gene Mutation Testing To Select Melanoma Patients
for BRAF Inhibitor Targeted Therapy, Regence
Medical Policy Manual, Genetic Testing, Policy No.
41
Assays
of Genetic Expression in Tumor Tissue as a Technique
to Determine Prognosis In Patients With Breast Cancer,
Regence Medical Policy, Genetic Testing, Policy No. 42
Epidermal
Growth Factor Receptor (EGFR) Mutation Analysis for
Patients with Non-Small Cell Lung Cancer (NSCLC),
Regence Medical Policy, Genetic Testing, Policy No. 56
Array
Comparative Genomic Hybridization (aCGH) for the
Genetic Evaluation of Patients with Developmental
Delay/Mental Retardation or Autism Spectrum Disorder,
Regence Medical Policy, Genetic Testing. Policy No. 58
JAK2
and MPL Mutation Analysis in Myeloproliferative
Neoplasms,
Regence Medical Policy, Genetic Testing, Policy No.
59
Dectection
of Circulating Tumor Cells in the Management of Patients
with Cancer, Regence Medical Policy Manual, Laboratory,
Policy No. 46
| Codes |
Number |
Description |
CPT
Return
to Description |
81200 |
ASPA (aspartoacylase)
(eg, Canavan disease) gene analysis, common variants
(eg, E285A, Y231X) |
| |
81205 |
BCKDHB (branched-chain
keto acid dehydrogenase E1, beta polypeptide)
(eg, Maple syrup urine disease) gene analysis,
common variants (eg, R183P, G278S, E422X) |
| |
81209 |
BLM (Bloom syndrome,
RecQ helicase-like) (eg, Bloom syndrome) gene
analysis, 2281del6ins7 variant |
| |
81211 |
BRCA1, BRCA2 (breast
cancer 1 and 2) (eg, hereditary breast and ovarian
cancer) gene analysis; full sequence analysis
and common duplication/deletion variants in BRCA1
(ie, exon 13 del 3.835kb, exon 13 dup 6kb, exon
14-20 del 26kb, exon 22 del 510bp, exon 8-9 del
7.1kb) |
| |
81212 |
BRCA1, BRCA2 (breast
cancer 1 and 2) (eg, hereditary breast and ovarian
cancer) gene analysis; 185delAG, 5385insC, 6174delT
variants |
| |
81214 |
BRCA1 (breast cancer
1) (eg, hereditary breast and ovarian cancer)
gene analysis; full sequence analysis and common
duplication/deletion variants (ie, exon 13 del
3.835kb, exon 13 dup 6kb, exon 14-20 del 26kb,
exon 22 del 510bp, exon 8-9 del 7.1kb) |
| |
81215 |
BRCA1 (breast cancer
1) (eg, hereditary breast and ovarian cancer)
gene analysis; known familial variant |
| |
81216 |
BRCA2 (breast cancer
2) (eg, hereditary breast and ovarian cancer)
gene analysis; full sequence analysis |
| |
81217 |
BRCA2 (breast cancer
2) (eg, hereditary breast and ovarian cancer)
gene analysis; known familial variant |
| |
81220 |
CFTR (cystic fibrosis
transmembrane conductance regulator) (eg, cystic fibrosis)
gene analysis; common variants (eg, ACMG/ACOG
guidelines) |
| |
81221 |
;
known familial variants |
| |
81222 |
;
duplication/deletion variants |
| |
81223 |
;
full gene sequence |
| |
81224 |
;
intron 8 poly-T analysis (eg, male infertility) |
| |
81240 |
F2 (prothrombin,
coagulation factor II) (eg, hereditary hypercoagulability)
gene analysis, 20210G>A variant |
| |
81241 |
F5 gene analysis Leiden variant |
| |
81242 |
FANCC (Fanconi anemia,
complementation group C) (eg, Fanconi anemia,
type C) gene analysis, common variant (eg, IVS4+4A>T) |
| |
81243 |
FMR1 (Fragile X mental
retardation 1) (eg, fragile X mental retardation)
gene analysis; evaluation to detect abnormal
(eg, expanded) alleles |
| |
81244 |
FMR1 (Fragile X mental
retardation 1) (eg, fragile X mental retardation)
gene analysis; characterization of alleles (eg,
expanded size and methylation status) |
| |
81245 |
FLT3 (fms-related
tyrosine kinase 3) (eg, acute myeloid leukemia),
gene analysis, internal tandem duplication (ITD)
variants (ie, exons 14, 15) |
| |
81250 |
G6PC (glucose-6-phosphatase,
catalytic subunit) (eg, Glycogen storage disease,
Type 1a, von Gierke disease) gene analysis, common
variants (eg, R83C, Q347X) |
| |
81251 |
GBA (glucosidase,
beta, acid) (eg, Gaucher disease) gene analysis,
common variants (eg, N370S, 84GG, L444P, IVS2+1G>A) |
| |
81255 |
HEXA (hexosaminidase
A [alpha polypeptide]) (eg, Tay-Sachs disease)
gene analysis, common variants (eg, 1278insTATC,
1421+1G>C, G269S) |
| |
81256 |
HFE (hemochromatosis)
(eg, hereditary hemochromatosis) gene analysis,
common variants (eg, C282Y, H63D) |
| |
81257 |
HBA1/HBA2 (alpha
globin 1 and alpha globin 2) (eg, alpha thalassemia,
Hb Bart hydrops fetalis syndrome, HbH disease),
gene analysis, for common deletions or variant
(eg, Southeast Asian, Thai, Filipino, Mediterranean,
alpha3.7, alpha4.2, alpha20.5, and Constant Spring) |
| |
81260 |
IKBKAP (inhibitor
of kappa light polypeptide gene enhancer in B-cells,
kinase complex-associated protein) (eg, familial
dysautonomia) gene analysis, common variants
(eg, 2507+6T>C, R696P) |
| |
81261 |
IGH@ (Immunoglobulin
heavy chain locus) (eg, leukemias and lymphomas,
B-cell), gene rearrangement analysis to detect
abnormal clonal population(s); amplified methodology
(eg, polymerase chain reaction) |
| |
81262 |
;
direct probe methodology (eg, Southern blot) |
| |
81263 |
IGH@ (Immunoglobulin
heavy chain locus) (eg, leukemia and lymphoma,
B-cell), variable region somatic mutation analysis |
| |
81264 |
IGK@ (Immunoglobulin
kappa light chain locus) (eg, leukemia and lymphoma,
B-cell), gene rearrangement analysis, evaluation
to detect abnormal clonal population(s) |
| |
81280 |
Long QT syndrome
gene analyses (eg, KCNQ1, KCNH2, SCN5A, KCNE1,
KCNE2, KCNJ2, CACNA1C, CAV3, SCN4B, AKAP, SNTA1,
and ANK2); full sequence analysis |
| |
81281 |
;
known familial sequence variant |
| |
81282 |
; duplication/deletion
variants |
| |
81290 |
MCOLN1 (mucolipin
1) (eg, Mucolipidosis, type IV) gene analysis,
common variants (eg, IVS3-2A>G, del6.4kb) |
| |
81291 |
MTHFR (5,10-methylenetetrahydrofolate
reductase) (eg, hereditary hypercoagulability)
gene analysis, common variants (eg, 677T, 1298C) |
| |
81292 |
MLH1 (mutL homolog
1, colon cancer, nonpolyposis type 2) (eg, hereditary
non-polyposis colorectal cancer, Lynch syndrome)
gene analysis; full sequence analysis |
| |
81293 |
;
known familial variants |
| |
81294 |
;
duplication/deletion variants |
| |
81295 |
MSH2 (mutS homolog
2, colon cancer, nonpolyposis type 1) (eg, hereditary
non-polyposis colorectal cancer, Lynch syndrome)
gene analysis; full sequence analysis |
| |
81296 |
;
known familial variants |
| |
81297 |
MSH2 (mutS homolog
2, colon cancer, nonpolyposis type 1) (eg, hereditary
duplication/deletion variants duplication/deletion
variants |
| |
81298 |
MSH6 (mutS homolog
6 [E. coli]) (eg, hereditary non-polyposis colorectal
cancer, Lynch syndrome) gene analysis; full sequence
analysis |
| |
81299 |
;
known familial variants |
| |
81300 |
;
duplication/deletion variants |
| |
81301 |
Microsatellite instability
analysis (eg, hereditary non-polyposis colorectal
cancer, Lynch syndrome) of markers for mismatch
repair deficiency (eg, BAT25, BAT26), includes
comparison of neoplastic and normal tissue, if
performed |
| |
81302 |
MECP2 (methyl
CpG binding protein 2) (eg, Rett syndrome) gene
analysis; full sequence analysis |
| |
81303 |
;
known familial variant |
| |
81304 |
;
duplication/deletion variants |
| |
81310 |
NPM1 (nucleophosmin)
(eg, acute myeloid leukemia) gene analysis, exon
12 variants |
| |
81315 |
PML/RARalpha,
(t(15;17)), (promyelocytic leukemia/retinoic
acid receptor alpha) (eg, promyelocytic leukemia)
translocation analysis; common breakpoints (eg,
intron 3 and intron 6), qualitative or quantitative |
| |
81316 |
;
single breakpoint (eg, intron 3, intron 6 or
exon 6), qualitative or quantitative |
| |
81317 |
PMS2 (postmeiotic
segregation increased 2 [S. cerevisiae]) (eg,
hereditary non-polyposis colorectal cancer, Lynch
syndrome) gene analysis; full sequence analysis |
| |
81318 |
;
known familial variants |
| |
81319 |
;
duplication/deletion variants |
| |
81330 |
SMPD1(sphingomyelin
phosphodiesterase 1, acid lysosomal) (eg, Niemann-Pick
disease, Type A) gene analysis, common variants
(eg, R496L, L302P, fsP330) |
| |
81331 |
SNRPN/UBE3A (small
nuclear ribonucleoprotein polypeptide N and ubiquitin
protein ligase E3A) (eg, Prader-Willi syndrome
and/or Angelman syndrome), methylation analysis |
| |
81332 |
SERPINA1 (serpin
peptidase inhibitor, clade A, alpha-1 antiproteinase,
antitrypsin, member 1) (eg, alpha-1-antitrypsin
deficiency), gene analysis, common variants (eg,
*S and *Z) |
| |
81340 |
TRB@ (T cell antigen
receptor, beta) (eg, leukemia and lymphoma),
gene rearrangement analysis to detect abnormal
clonal population(s); using amplification methodology
(eg, polymerase chain reaction) |
| |
81341 |
;
using direct probe methodology (eg, Southern
blot) |
| |
81342 |
TRG@ (T cell antigen
receptor, gamma) (eg, leukemia and lymphoma),
gene rearrangement analysis, evaluation to detect
abnormal clonal population(s) |
| |
81350 |
UGT1A1 (UDP glucuronosyltransferase
1 family, polypeptide A1) (eg, irinotecan metabolism),
gene analysis, common variants (eg, *28, *36,
*37) |
| |
81400 |
Molecular pathology
procedure, Tier 2 Level 1 |
| |
81401 |
Molecular pathology
procedure, Tier 2 Level 2 |
| |
81402 |
Molecular pathology
procedure, Tier 2 Level 3 |
| |
81403 |
Molecular pathology
procedure, Tier 2 Level 4 |
| |
81404 |
Molecular pathology
procedure, Tier 2 Level 5 |
| |
81405 |
Molecular pathology
procedure, Tier 2 Level 6 |
| |
81406 |
Molecular pathology
procedure, Tier 2 Level 7 |
| |
81407 |
Molecular pathology
procedure, Tier 2 Level 8 |
| |
81408 |
Molecular pathology
procedure, Tier 2 Level 9 |
| |
83890 |
Molecular diagnostics; molecular
isolation or extraction, each nucleic acid type
(ie, DNA or RNA) |
|
83891 |
Molecular diagnostics; isolation or extraction of highly purified nucleic acid, each nucleic acid type (ie, DNA or RNA) |
|
83892 |
Molecular diagnostics; enzymatic digestion, each enzyme treatment |
|
83893 |
Molecular diagnostics; dot/slot blot production, each nucleic acid preparation |
|
83894 |
Molecular diagnostics; separation by gel electrophoresis (eg, agarose, polyacrylamide), each nucleic acid preparation |
|
83896 |
Molecular diagnostics; nucleic acid probe, each |
|
83897 |
Molecular diagnostics; nucleic acid transfer (eg, Southern, Northern), each nucleic acid preparation |
|
83898 |
Molecular diagnostics; amplification, target, each nucleic acid sequence |
|
83900 |
Molecular diagnostics; amplification, target, multiplex, first two nucleic acid sequences |
|
83901 |
Molecular diagnostics; amplification, target, multiplex, each additional nucleic acid sequence beyond 2 |
|
83902 |
Molecular diagnostics; reverse transcription |
|
83903 |
Molecular diagnostics; mutation scanning, by physical properties (eg, single strand conformational polymorphisms (SSCP), heteroduplex, denaturing gradient gel electrophoresis (DGGE), RNA’ase A, single segment, each |
|
83904 |
Molecular diagnostics; mutation identification by sequencing, single segment, each segment |
|
83905 |
Molecular diagnostics; mutation identification by allele specific transcription, single segment, each segment |
|
83906 |
Molecular diagnostics; mutation identification by allele specific translation, single segment, each segment |
|
83907 |
Molecular diagnostics; lysis of cells prior to nucleic acid extraction (eg, stool specimens, paraffin embedded tissue), each specimen |
|
83908 |
Molecular diagnostics; amplification, signal, each nucleic acid sequence |
|
83909 |
Molecular diagnostics; separation and identification by high resolution technique (eg, capillary electrophoresis), each nucleic acid preparation |
|
83912 |
Molecular diagnostics; interpretation and report |
|
83913 |
Molecular diagnostics; RNA stabilization |
|
83914 |
Mutation identification by enzymatic ligation or primer extension, single segment, each segment (eg, oligonucleotide ligation assay [OLA], single base chain extension [SBCE], or allele-specific primer extension [ASPE]) |
| |
88363 |
Examination and selection of retrieved
archival (ie, previously diagnosed) tissue(s) for
molecular analysis (eg, KRAS mutational analysis) |
|
88384 |
Array-based evaluation of multiple molecular probes; 11 through 50 probes |
|
88385 |
Array-based evaluation of multiple molecular probes; 51 through 250 probes |
|
88386 |
Array-based evaluation of multiple molecular probes; 251 through 500 probes |
| HCPCS |
G9143 |
Warfarin responsiveness testing
by genetic technique using any method, any number
of specimen(s) |
| |
S3721 |
Prostate Cancer Antigen 3 (PCA3)
Testing |
|
S3800 |
Genetic testing for amyotrophic lateral sclerosis (ALS) |
|
S3818
|
Complete gene sequence analysis;
BRCA 1 gene (Deleted 4/1/12)
|
|
S3819
|
Complete gene sequence analysis;
BRCA 2 gene (Deleted 4/1/12)
|
|
S3820
|
Complete BRCA1 and BRCA2 gene
sequence analysis for susceptibility to breast
and ovarian cancer (Deleted 4/1/12)
|
|
S3822
|
Single mutation analysis (in individual with a known BRCA1 or BRCA2 mutation in the family) for susceptibility to breast and ovarian cancer (Deleted
4/1/12)
|
|
S3823
|
Three mutation BRCA1 and BRCA2
analysis for susceptibility to breast and ovarian
cancer in Ashkenazi individuals (Deleted
4/1/12)
|
|
S3828
|
Complete gene sequence analysis; MLH1 gene (Deleted
4/1/12)
|
|
S3829
|
Complete gene sequence analysis; MLH2 gene (Deleted
4/1/12)
|
|
S3830
|
Complete MLH1 and MLH2 gene sequence analysis for hereditary nonpolyposis colorectal cancer (HNPCC) (Deleted
4/1/12)
|
|
S3831
|
Single mutation analysis (in individual with a known MLH1 and MLH2 mutation in the family) for hereditary nonpolyposis colorectal cancer (HNPCC) genetic testing (Deleted
4/1/12)
|
|
S3833 |
Complete APC gene sequence analysis for susceptibility to familial adenomatous polyposis (FAP) and attenuated FAP |
|
S3834 |
Single mutation analysis (in individual with a known APC mutation in the family) for susceptibility to familial adenomatous polyposis (FAP) and attenuated FAP |
|
S3835
|
Complete gene sequence analysis for cystic fibrosis genetic testing (Deleted
4/1/12)
|
|
S3837
|
Complete gene sequence analysis
for hemochromatosis genetic testing (Deleted
4/1/12)
|
|
S3840 |
DNA analysis for germline mutations of the RET proto-oncogene for susceptibility to multiple endocrine neoplasia type 2 |
|
S3841 |
Genetic testing for retinoblastoma |
|
S3842 |
Genetic testing for Von Hippel-Lindau disease |
|
S3843
|
DNA analysis of the F5 gene for susceptibility to factor V Leiden thrombophilia (Deleted
4/1/12)
|
|
S3844 |
DNA analysis of the connexin 26 gene (GJB2) for susceptibility to congenital, profound deafness |
|
S3845 |
Genetic testing for alpha thalassemia |
|
S3846 |
Genetic testing for hemoglobin E beta-thalassemia |
|
S3847
|
Genetic testing for Tay-Sachs disease (Deleted
4/1/12)
|
|
S3848
|
Genetic testing for Gaucher disease (Deleted
4/1/12)
|
|
S3849 |
Genetic testing for Niemann-Pick disease |
|
S3850 |
Genetic testing for sickle cell anemia |
|
S3851
|
Genetic testing for Canavan disease (Deleted
4/1/12)
|
|
S3852 |
DNA analysis for APOE epsilon 4 allele for susceptibility to Alzheimer’s disease |
|
S3853 |
Genetic testing for muscular dystrophy |
|
S3855 |
Genetic testing for detection of mutations in the presenilin-1 gene |
|
S3860
|
Genetic testing, comprehensive cardiac ion channel analysis, for variants in 5 major cardiac ion channel genes for individuals with high index of suspicion for familial long QT syndrome (LQTS) or related syndromes (Deleted
4/1/12)
|
|
S3861 |
Genetic testing, sodium channel, voltage-gated, type V, alpha subunit (SCN5A) and variants for suspected Brugada syndrome |
|
S3862
|
Genetic testing, family-specific ion channel analysis, for blood-relatives of individuals (index case) who have previously tested positive for a genetic variant of a cardiac ion channel syndrome using either one of the above test configurations or confirmed results from another laboratory (Deleted
4/1/12)
|
|
S3865 |
Comprehensive gene sequence analysis for hypertrophic cardiomyopathy |
|
S3866 |
Genetic analysis for a specific gene mutation for hypertrophic cardiomyopathy (HCM) in an individual with a known HCM mutation in the family |
|
S3870 |
Comparative genomic hybridization (CGH) microarray testing for developmental delay, autism spectrum disorder and/or mental retardation |
|
S3890 |
DNA analysis, fecal, for colorectal cancer screening |
Genetic Testing Section Table of Contents 

|