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Samir Hanash, The Wide World of Molecular Profiling for Tumor Classification, Clinical Chemistry, Volume 64, Issue 4, 1 April 2018, Pages 743–744, https://doi.org/10.1373/clinchem.2017.273466
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Featured Article: Gene-expression profiles predict survival of patients with lung adenocarcinoma. Beer DG, Kardia SL, Huang CC, Giordano TJ, Levin AM, Misek DE, et al. Nat Med 2002;8:816–24.2
As the past millennium was coming to an end and we were about to enter a new one, the National Cancer Institute (NCI) director issued a request for applications in which the scientific community was challenged to submit proposals “to harness the power of comprehensive molecular analysis technologies to make the classification of tumors vastly more informative.” The director invited investigators to form multidisciplinary research groups with proposals to exploit 1 or a related set of comprehensive molecular analysis technologies for the examination of tumor specimens. Together with a group of investigators at the University of Michigan, we submitted a proposal to exploit comprehensive gene expression and proteomic technologies to profile 3 epithelial tumor types: lung, colon, and ovarian. The rationale for 3 tumor types was to determine features that were distinctive to each tumor and that were predictive of clinical behavior that may or may not cut across tumor types (1, 2). The rationale for combining gene expression and proteomics was that gene expression levels might be predictive of neither protein concentrations (3) nor subcellular location or posttranslation modifications that may impact function.
