Literature DB >> 24583802

New approaches but the same flaws in the search for prognostic signatures.

Ramon Salazar1, Josep Tabernero.   

Abstract

A six-gene prognostic colorectal cancer hypoxia score was generated from expression data from in vitro experiments and microarray datasets and was validated in two distinct patient cohorts. The approach followed by the authors is original and biologically sound but could be limited by potential biases and other methodologic limitations. ©2014 AACR.

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Mesh:

Year:  2014        PMID: 24583802     DOI: 10.1158/1078-0432.CCR-14-0219

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  1 in total

1.  Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer.

Authors:  Zaoqu Liu; Long Liu; Siyuan Weng; Chunguang Guo; Qin Dang; Hui Xu; Libo Wang; Taoyuan Lu; Yuyuan Zhang; Zhenqiang Sun; Xinwei Han
Journal:  Nat Commun       Date:  2022-02-10       Impact factor: 14.919

  1 in total

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