CRC-113 gene expression signature for predicting prognosis in patients with colorectal cancer

Minh Nam Nguyen, Tae Gyu Choi, Dinh Truong Nguyen, Jin Hwan Kim, Yong Hwa Jo, Muhammad Shahid, Salima Akter, Saurav Nath Aryal, Ji Youn Yoo, Yong Joo Ahn, Kyoung Min Cho, Ju Seog Lee, Wonchae Choe, Insug Kang, Joohun Ha, Sung S. Kim

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Colorectal cancer (CRC) is the third leading cause of global cancer mortality. Recent studies have proposed several gene signatures to predict CRC prognosis, but none of those have proven reliable for predicting prognosis in clinical practice yet due to poor reproducibility and molecular heterogeneity. Here, we have established a prognostic signature of 113 probe sets (CRC-113) that include potential biomarkers and reflect the biological and clinical characteristics. Robustness and accuracy were significantly validated in external data sets from 19 centers in five countries. In multivariate analysis, CRC-113 gene signature showed a stronger prognostic value for survival and disease recurrence in CRC patients than current clinicopathological risk factors and molecular alterations. We also demonstrated that the CRC-113 gene signature reflected both genetic and epigenetic molecular heterogeneity in CRC patients. Furthermore, incorporation of the CRC-113 gene signature into a clinical context and molecular markers further refined the selection of the CRC patients who might benefit from postoperative chemotherapy. Conclusively, CRC-113 gene signature provides new possibilities for improving prognostic models and personalized therapeutic strategies.

Original languageEnglish (US)
Pages (from-to)31674-31692
Number of pages19
JournalOncotarget
Volume6
Issue number31
DOIs
StatePublished - 2015

Keywords

  • Colorectal cancer
  • Gene expression profile
  • Microarray analysis
  • Risk prediction

ASJC Scopus subject areas

  • Oncology

Fingerprint

Dive into the research topics of 'CRC-113 gene expression signature for predicting prognosis in patients with colorectal cancer'. Together they form a unique fingerprint.

Cite this