Study | N | Stage |
KRAS Mutation Rate |
BRAF Mutation Rate |
---|---|---|---|---|
European consortium dataset20 | 773* | IV | 40% | 4.7% |
COIN48 | 1316† | IV | 43% | 8% |
CAIRO218 | 559 | IV | 39.4% | 8.7% |
PETACC-336 | 1564 | II and III | 37% | 7.9% |
KRAS and BRAF Mutation Incidence in Selected Randomized Studies
*649 samples were eligible for outcome analyses.
† Evaluable for mutation analyses.
Biomarker Name |
Type of Specimen Required |
Type of Test | Stage of Disease |
Intended Use | Current Validation Status |
Commercial Availability |
---|---|---|---|---|---|---|
ColoPrint | Fresh, unfixed tumor tissue |
Gene expression profile by oligonucleotide array |
II | Prognostic marker for recurrence risk in stage II colon cancer |
Two nonrandomized validation studies;65,66 PARSC trial underway67 |
Anticipated (Agendia) |
CTC | Peripheral blood collected in preservative tube |
Immunomagnetic separation of epithelial cells from whole blood |
IV | Prognostic marker for survival in patients with metastatic colorectal cancer |
Multiple studies, including meta- analysis data and randomized subset from CAIRO2 study68–70 |
Multiple, including CellSearch System (Veridex, LLC) |
Oncotype
DX colon cancer test |
FFPE tumor tissue |
Gene expression profile by RT-PCR |
II | Prognostic marker for recurrence risk in stage II colon cancer |
Independent validation in randomized subset from QUASAR study;71 second independent validation set presented at 2011 ASCO Annual Meeting72 |
Yes (Genomic Health, Inc.) |
Colorectal Cancer Biomarker Tests in Development
Abbreviations: CTC, circulating tumor cells; FFPE, formalin-fixed, paraffin-embedded; PARSC, Prospective Analysis of Risk Stratification by ColoPrint; RT-PCR, reverse transcriptase-polymerase chain reaction.
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CME Released: 11/7/2011
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Biomarkers reflective of the molecular and genetic heterogeneity in colorectal cancers now guide certain aspects of clinical management and offer great potential for enrichment, stratification, and identification of novel therapeutic targets in drug development. Using case-based examples, this article reviews biomarkers that have an established role in the clinical management of colorectal cancer: mismatch repair protein testing and KRAS and BRAF mutational analysis. A selection of biomarkers undergoing validation for future clinical application is presented, and the dynamic and challenging interface between biomarkers in research and clinical practice is discussed. (JNCCN 2011;9:1293–1303)
Despite the development of multiple new therapeutics over the past decade, colorectal cancer continues to be the second leading cause of cancer mortality in the United States and worldwide, with a median survival of less than 2 years for patients with advanced disease.[1,2] The evolving understanding of the genetic heterogeneity of colorectal tumors suggests that a purely anatomic classification may be obsolete.[3] Recent identification of molecular tumor subtypes with distinctive treatment responsiveness and prognosis in some cancers has led to an emerging paradigm of genetically tailored clinical management, and promises to guide future drug development in oncology. A prominent example in colorectal cancer is the finding that an activating mutation in the KRAS oncogene is a biomarker for tumor resistance to monoclonal antibodies targeting the epidermal growth factor receptor (EGFR); this has led to the widespread adoption of tumor KRAS mutational analysis before treatment with this class of drugs.[4–7]
Biomarkers are measures, such as the presence of a mutation in the KRAS gene found through polymerase chain reaction (PCR) testing, associated with a clinically distinct prognosis, diagnosis, or response to a specific treatment. Conventional analyses such as tumor immunohistochemistry for cytokeratin profile or serum carcinoembryonic antigen (CEA) measurement are also types of biomarkers according to this broad definition. So-called predictive markers are associated with response (or lack thereof) to a particular therapy, whereas prognostic markers are baseline measurements associated with future disease trajectory.[8,9] This article focuses on newer, genetically based tests of tumor, host, or both, that are used to evaluate prognosis and/or to predict the likelihood of treatment response.
Using case-based examples, this article reviews biomarkers with an established role in clinical colorectal cancer management, presents a selection of biomarkers undergoing validation for future clinical application, and concludes with a discussion of the dynamic interface between biomarkers in research and clinical practice.