| Literature DB >> 31754689 |
Daisuke Ujiie1, Hirokazu Okayama1, Katsuharu Saito1, Mai Ashizawa1, Aung Kyi Thar Min1, Eisei Endo1, Koji Kase1, Leo Yamada1, Tomohiro Kikuchi1, Hiroyuki Hanayama1, Shotaro Fujita1, Wataru Sakamoto1, Hisahito Endo1, Motonobu Saito1, Kosaku Mimura1,2,3,4, Zenichiro Saze1, Tomoyuki Momma1, Shinji Ohki1, Koji Kono1.
Abstract
Adjuvant chemotherapy is considered for patients with stage II colorectal cancer (CRC) characterized by poor prognostic clinicopathological features; however, current stratification algorithms remain inadequate for identifying high-risk patients. To develop prognostic assays, we conducted a step-wise screening and validation strategy using nine cohorts of stage II patients based on multiple platforms, including microarray, RNA-sequencing (RNA-seq) and immunohistochemistry (IHC) on formalin-fixed paraffin-embedded (FFPE) tissues. Four microarray datasets (total n = 458) were used as the discovery set to screen for single genes associated with postoperative recurrence. Prognostic values of candidate genes were evaluated in three independent microarray/RNA-seq validation cohorts (n = 89, n = 93 and n = 183, respectively), and then IHC for KRT17 was conducted in two independent FFPE series (n = 110 and n = 44, respectively). We found that high levels of KRT17 transcript expression were significantly associated with poor relapse-free survival (RFS) not only in the discovery set, but also in three validation cohorts, and its prognostic impact was independent of conventional factors by multivariate analyses. Positive staining of KRT17 protein was significantly associated with poor RFS in two independent FFPE cohorts. KRT17 protein expression had independent prognostic impact on RFS in a multivariate model adjusted for conventional variables, including high-risk clinicopathological features. In conclusion, using nine independent cohorts consisting of 997 stage II patients, we identified and validated the expression of KRT17 transcript and KRT17 protein as a robust prognostic biomarker that can discriminate postoperative stage II patients who are at high probability of disease recurrence, providing additional prognostic stratification beyond the currently available high-risk factors.Entities:
Year: 2020 PMID: 31754689 DOI: 10.1093/carcin/bgz192
Source DB: PubMed Journal: Carcinogenesis ISSN: 0143-3334 Impact factor: 4.944