Literature DB >> 26502222

Identification and Construction of Combinatory Cancer Hallmark-Based Gene Signature Sets to Predict Recurrence and Chemotherapy Benefit in Stage II Colorectal Cancer.

Shanwu Gao1, Chabane Tibiche2, Jinfeng Zou2, Naif Zaman2, Mark Trifiro3, Maureen O'Connor-McCourt2, Edwin Wang4.   

Abstract

IMPORTANCE: Decisions regarding adjuvant therapy in patients with stage II colorectal cancer (CRC) have been among the most challenging and controversial in oncology over the past 20 years.
OBJECTIVE: To develop robust combinatory cancer hallmark-based gene signature sets (CSS sets) that more accurately predict prognosis and identify a subset of patients with stage II CRC who could gain survival benefits from adjuvant chemotherapy. DESIGN, SETTING, AND PARTICIPANTS: Thirteen retrospective studies of patients with stage II CRC who had clinical follow-up and adjuvant chemotherapy were analyzed. Respective totals of 162 and 843 patients from 2 and 11 independent cohorts were used as the discovery and validation cohorts, respectively. A total of 1005 patients with stage II CRC were included in the 13 cohorts. Among them, 84 of 416 patients in 3 independent cohorts received fluorouracil-based adjuvant chemotherapy. MAIN OUTCOMES AND MEASURES: Identification of CSS sets to predict relapse-free survival and identify a subset of patients with stage II CRC who could gain substantial survival benefits from fluorouracil-based adjuvant chemotherapy.
RESULTS: Eight cancer hallmark-based gene signatures (30 genes each) were identified and used to construct CSS sets for determining prognosis. The CSS sets were validated in 11 independent cohorts of 767 patients with stage II CRC who did not receive adjuvant chemotherapy. The CSS sets accurately stratified patients into low-, intermediate-, and high-risk groups. Five-year relapse-free survival rates were 94%, 78%, and 45%, respectively, representing 60%, 28%, and 12% of patients with stage II disease. The 416 patients with CSS set-defined high-risk stage II CRC who received fluorouracil-based adjuvant chemotherapy showed a substantial gain in survival benefits from the treatment (ie, recurrence reduced by 30%-40% in 5 years). CONCLUSIONS AND RELEVANCE: The CSS sets substantially outperformed other prognostic predictors of stage 2 CRC. They are more accurate and robust for prognostic predictions and facilitate the identification of patients with stage II disease who could gain survival benefit from fluorouracil-based adjuvant chemotherapy.

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Year:  2016        PMID: 26502222     DOI: 10.1001/jamaoncol.2015.3413

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  85 in total

1.  RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction.

Authors:  Xing Chen; Qiao-Feng Wu; Gui-Ying Yan
Journal:  RNA Biol       Date:  2017-04-19       Impact factor: 4.652

2.  HNMDA: heterogeneous network-based miRNA-disease association prediction.

Authors:  Li-Hong Peng; Chuan-Neng Sun; Na-Na Guan; Jian-Qiang Li; Xing Chen
Journal:  Mol Genet Genomics       Date:  2018-04-23       Impact factor: 3.291

Review 3.  The Landmark Series: Chemotherapy for Non-Metastatic Colon Cancer.

Authors:  Salvador Alonso; Leonard Saltz
Journal:  Ann Surg Oncol       Date:  2020-11-23       Impact factor: 5.344

4.  LPI-NRLMF: lncRNA-protein interaction prediction by neighborhood regularized logistic matrix factorization.

Authors:  Hongsheng Liu; Guofei Ren; Huan Hu; Li Zhang; Haixin Ai; Wen Zhang; Qi Zhao
Journal:  Oncotarget       Date:  2017-10-19

Review 5.  Biomarkers: Delivering on the expectation of molecularly driven, quantitative health.

Authors:  Jennifer L Wilson; Russ B Altman
Journal:  Exp Biol Med (Maywood)       Date:  2017-12-03

6.  The MACC1-SPON2 axis: a new biomarker and therapeutic target in colorectal cancer.

Authors:  P Chandrasinghe; J Stebbing; J Warusavitarne
Journal:  Oncogene       Date:  2016-09-26       Impact factor: 9.867

7.  Gene Expression Signature to Predict Prognosis and Adjuvant Chemosensitivity of Colorectal Cancer Patients.

Authors:  Jianxia Li; Jianwei Zhang; Huabin Hu; Yue Cai; Jiayu Ling; Zehua Wu; Yanhong Deng
Journal:  Cancer Manag Res       Date:  2020-05-11       Impact factor: 3.989

8.  Immunohistochemistry-Based Consensus Molecular Subtypes as a Prognostic and Predictive Biomarker for Adjuvant Chemotherapy in Patients with Stage II Colorectal Cancer.

Authors:  Yaqi Li; Qianlan Yao; Long Zhang; Shaobo Mo; Sanjun Cai; Dan Huang; Junjie Peng
Journal:  Oncologist       Date:  2020-09-28

9.  Development of cancer prognostic signature based on pan-cancer proteomics.

Authors:  Weiguo Huang; Jianhui Chen; Wanqing Weng; Yukai Xiang; Hongqi Shi; Yunfeng Shan
Journal:  Bioengineered       Date:  2020-12       Impact factor: 3.269

10.  A novel mesenchymal-associated transcriptomic signature for risk-stratification and therapeutic response prediction in colorectal cancer.

Authors:  Takatoshi Matsuyama; Raju Kandimalla; Toshiaki Ishikawa; Naoki Takahashi; Yasuhide Yamada; Masamichi Yasuno; Yusuke Kinugasa; Torben Frøstrup Hansen; Marwan Fakih; Hiroyuki Uetake; Balázs Győrffy; Ajay Goel
Journal:  Int J Cancer       Date:  2020-07-13       Impact factor: 7.316

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