Literature DB >> 27262159

The prognostic yield of biomarkers harvested in chemotherapy-naive stage II colon cancer: can we separate the wheat from the chaff?

Martin M Watson1,2, Kjetil Søreide1,2,3.   

Abstract

The TNM-system fails to accurately predict disease recurrence in a considerate number of patients. While node-negative (stage II) colon cancer is considered to have an overall good prognosis, the 5-year cancer-specific survival is reported at 81-83% in patients who did not have adjuvant chemotherapy. Thus, reliance on node-status alone has lead to under-treatment in a subgroup of stage II patients with an unfavorable prognosis. The search for new and better prognosticators in stage II colon cancer has suggested several proposed biomarkers of better prognostication and prediction. However, few such biomarkers have reached widespread clinical utility. For the clinician swimming in the sea of emerging biomarkers, it may be hard to recognize the true floating aid from the surrounding debris in the search for more precise decision-making. Proposed markers include microsatellite instability (MSI), KRAS mutations and BRAF mutations, but a number of gene panels and consensus molecular subtypes are proposed for clinical prediction and prognostication as well. While several studies suggest such biomarkers or panels to have a prognostic role in subgroups of patients, a number of studies are reported in heterogeneous groups with in part discordant findings, which again distorts the predictive and prognostic ability of each marker. Lack of homogeneous cohorts, underpowered studies in strict subgroups and challenges in analytical and clinical validity may hamper the progress towards widespread clinical utility. The harvest of prognostic biomarkers in colon cancer has yielded a huge number of candidates for which it is now time to separate the wheat from the chaff.

Entities:  

Keywords:  BRAF; KRAS; colon cancer; lymph node; microsatellite instability; molecular biomarker; stage II

Year:  2016        PMID: 27262159      PMCID: PMC5023508          DOI: 10.2119/molmed.2016.00098

Source DB:  PubMed          Journal:  Mol Med        ISSN: 1076-1551            Impact factor:   6.354


  33 in total

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