Literature DB >> 29957060

Transcriptional signatures for coupled predictions of stage II and III colorectal cancer metastasis and fluorouracil-based adjuvant chemotherapy benefit.

Kai Song1, You Guo2, Xianlong Wang3, Hao Cai3, Weicheng Zheng1,3, Na Li3, Xuekun Song1, Lu Ao3, Zheng Guo1,3,4, Wenyuan Zhao1.   

Abstract

The current study suggests that the identification of predictive signatures of fluorouracil (5-FU) response for stage II and III colorectal cancer (CRC) could be confounded by chemotherapy-irrelevant low relapse risk. Using the samples of patients with stage II and III CRC who were treated with curative surgery only, we identified a signature with which to predict chemotherapy-irrelevant relapse risk for patients after curative surgery. By applying this signature to the samples of patients with stage II and III CRC who were treated with 5-FU-based adjuvant chemotherapy (ACT) after surgery, we predicted the relapse risk if treated with surgery only. From high-risk samples, we further identified another signature with which to predict therapeutic benefit from 5-FU-based ACT. On the basis of the relative expression orderings of gene pairs, a postsurgery relapse risk signature that consisted of 44 gene pairs was developed and verified in 3 independent data sets. A 5-FU therapeutic benefit signature that consisted of 4 gene pairs was then developed to predict the response of 5-FU-based ACT for those patients with high relapse risk after curative surgery. The signature was verified in 4 independent datasets. For patients with stage II and III CRC, the coupled signatures can first identify patients with high relapse risk after curative surgery, then predict therapeutic benefit from 5-FU-based ACT.-Song, K., Guo, Y., Wang, X., Cai, H., Zheng, W., Li, N., Song, X., Ao, L., Guo, Z., Zhao, W. Transcriptional signatures for coupled predictions of stage II and III colorectal cancer metastasis and fluorouracil-based adjuvant chemotherapy benefit.

Entities:  

Keywords:  CRC; fluorouracil; relapse risk; relative expression orderings

Mesh:

Substances:

Year:  2018        PMID: 29957060     DOI: 10.1096/fj.201800222RRR

Source DB:  PubMed          Journal:  FASEB J        ISSN: 0892-6638            Impact factor:   5.191


  6 in total

1.  A qualitative transcriptional signature for determining the grade of colorectal adenocarcinoma.

Authors:  Hailong Zheng; Kai Song; Yelin Fu; Tianyi You; Jing Yang; Wenbing Guo; Kai Wang; Liangliang Jin; Yunyan Gu; Lishuang Qi; Wenyuan Zhao; Zheng Guo
Journal:  Cancer Gene Ther       Date:  2019-10-09       Impact factor: 5.987

2.  A qualitative transcriptional signature for predicting microsatellite instability status of right-sided Colon Cancer.

Authors:  Yelin Fu; Lishuang Qi; Wenbing Guo; Liangliang Jin; Kai Song; Tianyi You; Shuobo Zhang; Yunyan Gu; Wenyuan Zhao; Zheng Guo
Journal:  BMC Genomics       Date:  2019-10-23       Impact factor: 3.969

3.  CCMAlnc Promotes the Malignance of Colorectal Cancer by Modulating the Interaction Between miR-5001-5p and Its Target mRNA.

Authors:  Yuqing Yan; Baoqin Xuan; Ziyun Gao; Chaoqin Shen; Yingying Cao; Jie Hong; Haoyan Chen; Zhe Cui; Guangyao Ye; Jing-Yuan Fang; Zhenhua Wang
Journal:  Front Cell Dev Biol       Date:  2020-12-16

4.  Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy.

Authors:  Jun He; Jun Cheng; Qingzhou Guan; Haidan Yan; Yawei Li; Wenyuan Zhao; Zheng Guo; Xianlong Wang
Journal:  Cancer Sci       Date:  2019-12-18       Impact factor: 6.716

5.  A qualitative transcriptional signature for the histological reclassification of lung squamous cell carcinomas and adenocarcinomas.

Authors:  Xin Li; Gengen Shi; Qingsong Chu; Wenbin Jiang; Yixin Liu; Sainan Zhang; Zheyang Zhang; Zixin Wei; Fei He; Zheng Guo; Lishuang Qi
Journal:  BMC Genomics       Date:  2019-11-21       Impact factor: 3.969

6.  A Qualitative Transcriptional Signature for Predicting CpG Island Methylator Phenotype Status of the Right-Sided Colon Cancer.

Authors:  Tianyi You; Kai Song; Wenbing Guo; Yelin Fu; Kai Wang; Hailong Zheng; Jing Yang; Liangliang Jin; Lishuang Qi; Zheng Guo; Wenyuan Zhao
Journal:  Front Genet       Date:  2020-10-29       Impact factor: 4.599

  6 in total

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