| Laboratory Section - Analysis of Proteomic Patterns
in Serum to Identify Cancer
| Topic: Analysis of Proteomic
Patterns in Serum to Identify Cancer |
Date of Origin: 08/03/2004 |
| Section: Laboratory |
Policy No: 41 |
| Approved Date: 03/10/2009 |
Effective Date: 04/01/2009 |
| Next Review Date: 04/2010 |
| |
IMPORTANT REMINDER
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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
While the genetic basis of cancer has been an intense
research focus, genetic mutations do not reflect the
complicated interactions between individual cells,
tissue, and organs. Proteins are the functional units
of cells and represent the end product of the interactions
among the underlying genes. Therefore, recently there
has been increasing research interest in the pattern
of proteins associated with malignancies. This field
may be referred to as proteomics (to distinguish it
from genomics), defined as the study of all protein
forms expressed within an organism as a function of
time, age, state, and external factors. Within cancer
research, one research application has been the identification
of a pattern of proteins detected in a given fluid,
such as body fluid or serum, that are associated with
an underlying cancer. Essentially, the identification
of patterns of proteins in the serum could function
as serum tumor marker, similar in concept to the more
familiar prostate specific antigen (PSA) or CA-125,
which are used in the detection and monitoring of prostate
and ovarian cancer, respectively. This type of proteomic
profiling has also been referred to as a “protein
fingerprint.”
There are potential applications for proteomics in
a variety of malignancies (including breast and gastrointestinal),
but the two most commonly mentioned are ovarian and
prostate cancer.
Ovarian Cancer
Currently, there are no effective screening techniques
for ovarian cancer. While CA-125 and transvaginal ultrasound
have been proposed, particularly in patients at high
genetic risk for ovarian cancer, to date these techniques
have not resulted in a decrease in morbidity, primarily
due to the disease stage at presentation and the lack
of curative therapies. Use of proteomic patterns in
serum to identify ovarian cancer is one of the first
proposed clinical applications. The OvaCheck (Correlogic
Systems) is based on proteomic patterns detected in
the serum, which are further analyzed with the use of
a mass spectrometer to profile a population of proteins
based on their size and electrical charge. This type
of analysis contains thousands of data points, which
undergo further sophisticated computer analysis using
artificial intelligence-based algorithms to identify
a pattern that is consistent with ovarian cancer.
The OvaCheck will be offered exclusively at reference
laboratories. Originally the manufacturer had assumed
that the test would not be subject to FDA approval since
the test is performed exclusively at one reference laboratory
and testing materials do not cross state lines (i.e.,
a “home brew” test). However, the FDA has
formally questioned this assumption, and the FDA regulatory
status is under review.
Prostate Cancer
Serum measurement of prostate specific antigen (PSA)
is an accepted screening method for prostate cancer.
Serum PSA results below 2.5 ng/ml and above 10.0 ng/ml
are most reliable in determining cancer risk. However,
values falling within this range are nonspecific, and
thus many patients undergo biopsy for benign disease.
Proteomics has been proposed as a technique to further
evaluate cancer risk in this diagnostic “gray”
zone. However, there is no proteomic test for prostate
cancer that is currently commercially available.
Policy/Criteria
Analysis of proteomic patterns in serum for screening
and detection of cancer, including but not limited to
ovarian, prostate, breast and gastrointestinal cancer,
is considered investigational.
Scientific Background
Ovarian Cancer
While there has been considerable publicity regarding
the potential role for proteomics for cancer screening
and detection (2-5), to date there has been one published
article in the peer-reviewed literature that has examined
the technique for ovarian cancer detection in women
considered at high risk of ovarian cancer. Petricoin
and colleagues reported on the technical feasibility
of proteomic screening in a test series of serum from
50 patients with and 50 patients without ovarian cancer.
(6) The spectra of proteins were analyzed by an iterative
searching algorithm that identified a cluster pattern
that segregated the cancer from non-cancer patients.
This discovered pattern was than used to classify an
independent set of 116 masked serum samples; 50 from
women with ovarian cancer, and 66 from unaffected women
or those with non-malignant conditions. Patients without
cancer were considered at high risk, due either to
familial breast or cancer syndrome or positivity of
BRCA 1 or BRCA 2 mutations. All 50 with ovarian cancer
were correctly identified, including the 18 with stage
I cancer. Of the 66 benign cases, 63 were identified
as not cancer, yielding a sensitivity of 100% and a
positive predictive value of 94%. The authors note
that while a positive predictive value of 94% may be
acceptable for those high-risk patients, in the larger
population of average-risk
patients, the positive predictive value must be close
to 100% to avoid a high number of false positives,
which in turn would generate additional work up. One
of the key outcomes of an ovarian cancer screening
test is the ability to identify Stage I ovarian cancer
that is potentially curable with surgery. The above
study only included 18 patients with Stage I ovarian
cancer. The authors state that an important future
goal is the confirmation of the diagnostic performance
of proteomic screening for the prospective detection
of Stage I ovarian cancer in trials of both high- and
low- risk women. Such trials are currently underway
at the National Cancer Institute.
It should also be noted that the technology used in
the Petricoin study (6) is not the same as the technology
proposed for the OvaCheck test. According to the National
Cancer Institute, “The two techniques use different
mass spectrometry instrumentation and detection methods,
as well as different sample handling and processing
methods. Therefore the class of molecules analyzed by
these two approaches, and thus the molecules that constitute
the diagnostic patterns would be expected to be entirely
different.” (7) Other comments and correspondence
in the literatures also question the statistical analysis
used by Petricoin (8) and other technical issues. (9)
In February 2004, the Society of Gynecologic Oncologists
released the following (10):
“The Society of Gynecologic Oncologists (SGO)
recognizes the importance of accurate early detection
biomarkers for ovarian cancer. For this reason SGO reviewed
the literature regarding OvaCheck, a serum based diagnostic
test for ovarian cancer.
In the opinion of SGO, more research is needed to validate
the test’s effectiveness before offering it to
the public.
SGO is committed to actively following and contributing
to this vitally important research. As physicians who
care only for women with gynecologic cancer, our hope
is that these cancers can either be prevented or detected
early. Because no test now exists to routinely detect
ovarian cancer in its earliest and most curable stage,
we will await the results of further clinical validation
of OvaCheck with great interest.”
An updated search of the literature through January
2009 based on the Medline database did not return any
new clinical trial data that would alter the conclusions
reached above. For example,
Posadas and colleagues demonstrated that gefitinib
inhibited the phosphorylation of epidermal growth factor
receptor in epithelial ovarian cancer tumor cells,
providing evidence of targeted therapy in a clinical
setting. However, this study did not compare
the use of proteomics to determine therapy versus standard
empirical therapy. ( 11) A recent review article
updated ongoing research related to early detection
of ovarian cancer, including the use of proteomics.
(12) Reymond provides an overview of some of the key
challenges that must be addressed in evaluating this
technology. (13) In summary, proteomics in the
detection and prognosis of ovarian cancer remains investigational.
Prostate Cancer
Regarding prostate cancer, studies have reported preliminary
results. For example, Ornstein and colleagues
reported the results of serum proteomic profiling in
154 men with serum PSA ranging from 2.5 to 15.0 ng/ml.
(14) A total of 63 samples (30 malignant, 33 benign)
were used as the training set to identify a proteomic
pattern that could distinguish benign from malignant
disease. The results of the training set were then
applied to the remaining 91 samples (i.e., the “testing” set)
in a blinded fashion. In this testing set of 63 with
negative biopsies and 28 with positive biopsies, there
was 100% sensitivity and 67% specificity. These data
imply that if the results of proteomic profiling were
used to deselect patients for biopsy, 42 of 63 (67%)
patients without prostate cancer could have avoided
biopsy. The authors note that using a training set
of only 63 samples may be inadequate, and that “before
this new technology can be applied in clinical practice,
much larger and diverse training and testing sets will
be needed.”
Summary
In summary, there are inadequate data in the peer-reviewed
literature to permit scientific conclusions concerning
the analysis of proteomic patterns as a method to detect
and monitor ovarian, prostate or other malignancies.
Updated literature reviews were conducted through
January 2009. No clinical studies were found
that would alter the conclusions noted above. There
were no large population-based prospective clinical
trials that demonstrated the impact on clinical outcomes
for proteomic testing in the screening or detection
of cancer. A number of preliminary studies were
noted describing the potential use of this technique
in other malignancies including lung cancer ( 15-17
), astrocytomas, ( 18), colorectal cancer ( 19-20),
breast cancer (21) and head and neck cancer. ( 22)
References
- BlueCross BlueShield Association Medical Policy
Reference Manual, Policy No. 2.04.34
- Conrads TP, Veenstra TD. The utility of proteomic
patterns for the diagnosis of cancer. Curr Drug
Targets Immune Endocr Metabol Disord 2004; 4(1):41-50
- Conrads TP, Fusaro VA, Ross S et al. High-resolution
serum proteomic features for ovarian cancer detection. Endocr
Relat Cancer 2004; 11(2):163-78
- Posadas EM, Davidson B, Kohn EC. Proteomics and
ovarian cancer: implications for diagnosis and treatment:
a critical review of the recent literature. Curr
Opin Oncol 2004; 16(5):478-84
- Cristea IM, Gaskell SJ, Whetton AD. Proteomics
techniques and their application to hematology. Blood 2004;
103(10):3624-34
- Petricoin EF, Ardekani AM, Hitt BE et al. Use of
proteomic patterns in serum to identify ovarian cancer.
Lancet 2002;359(9306):572-7
- Questions and Answers: The
NCI/FDA Proteomics Research Program, Its Research,
and Diagnostic Tests by Private Industry (e.g. OvaCheck™) www.cancer.gov/newscenter/pressreleases/ProteomicsOvarian(Verified 01/16/09)
- Correspondence. Proteomic patterns in serum and
identification of ovarian cancer. Lancet
2002;360(9327):169-71
- Diamandis EP. Analysis of serum proteomic patterns
for early cancer diagnosis: drawing attention to potential
problems. J Natl Cancer Inst 2004;96(5):353-6
- Society of Gynceologic Oncologists, Chicago, Illinois,
Press release. February 7, 2004 http://www.sgo.org/WorkArea/showcontent.aspx?id=954 (Verified
01/16/08)
- Posadas EM, Liel MS, Kwitkowski V et al. A
phase II and pharmacodynamic study of gefitinib in
patients with refractory or recurrent epithelial
ovarian cancer. Cancer. 2007; 1;109(7):1323-30
- Bast RC Jr, Brewer M, Zou C et al. Prevention and
early detection of ovarian cancer: mission impossible?
Recent Results Cancer Res 2007; 174:91-100
- Reymond MA, Schlegel W. Proteomics in cancer. Adv
Clin Chem 2007; 44:103-42
- Ornstein DK, Rayford W, Fusaro VA et al. Serum proteomic
profiling can discriminate prostate cancer from benign
prostates in men with total prostate specific antigen
levels between 2.5 and 15.0 ng/ml. J Urol
2004; 172(4 pt 1):1302-5
- Yang SY, Xiao XY, Zhang WG et al. Application
of serum SELDI proteomic patterns in diagnosis
of lung cancer. BMC Cancer 2005; 5:83
- Yanagisawa K, Tomida S, Shimada Y et al. A 25-signal
proteomic signature and outcome for patients with
resected non-small-cell lung cancer. J Natl Cancer
Inst. 2006;99(11):858-67
- Taguchi F, Solomon B, Gregorc V et al. Mass spectrometry
to classify non-small-cell lung cancer patients for
clinical outcome after treatment with epidermal growth
factor receptor tyrosine kinase inhibitors: a multicohort
cross-institutional study. J Natl Cancer Inst.
2007;99(11):838-46
- Li
J, Zhuang Z, Okamoto H et al. Proteomic profiling
distinguishes astrocytomas and identifies differential
tumor markers. Neurology 2006;66 (5):733-6
- Xu
WH, Chen YD, Hu Y et al. Preoperatively molecular
staging with CM10 ProteinChip and SELDI-TOF-MS
for colorectal cancer. J Zhejiang Univ Sci
B 2006;7(3):235-40
- Leman ES, Schoen RE, Weissfeld JL et al. Initial
analyses of colon cancer-specific antigen (CCSA)-3
and CCSA-4 as colorectal cancer-associated serum
markers. Cancer Res 2007; 67(12):5600-5
- Belluco C, Petricoin EF, Mammano E et al. Serum
proteomic analysis identifies a highly sensitive
and specific discriminatory pattern in stage 1 breast
cancer. Ann Surg Oncol 2007;14(9):2470-6
- Gourin
CG, Xia ZS, Han Y et al. Serum protein profile analysis
in patients with head and neck squamous cell carcinoma. Arch Otolaryngol Head
Neck Surg 2006;132(4):390-7
Cross References
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