A rank-based transcriptional signature for predicting relapse risk of stage II colorectal cancer identified with proper data sources-Reference-Cited by-同舟云学术

A rank-based transcriptional signature for predicting relapse risk of stage II colorectal cancer identified with proper data sources

Published:2016-03-07 Issue:14 Volume:7 Page:19060-19071
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Zhao Wenyuan¹,Chen Beibei¹,Guo Xin¹,Wang Ruiping¹,Chang Zhiqiang¹,Dong Yu¹,Song Kai¹,Wang Wen¹,Qi Lishuang¹,Gu Yunyan¹,Wang Chenguang¹,Yang Da²³⁴,Guo Zheng¹⁵

Affiliation:

1. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China

2. Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, USA

3. Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA

4. Department of Computational & Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA

5. Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Department of Bioinformatics, Fujian Medical University, Fuzhou, China

Publisher

Impact Journals, LLC

Subject

Oncology

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Discovery and validation of a 10-gene predictive signature for response to adjuvant chemotherapy in stage II and III colon cancer;Cell Reports Medicine;2024-08

2. Capecitabine inhibits epithelial‑to‑mesenchymal transition and proliferation of colorectal cancer cells by mediating the RANK/RANKL pathway;Oncology Letters;2022-01-27

3. Detection and significance of micrometastases and isolated tumor cells in lymph nodes of colorectal cancer resections;The Lymphatic System in Colorectal Cancer;2022

4. A Qualitative Transcriptional Signature for Predicting CpG Island Methylator Phenotype Status of the Right-Sided Colon Cancer;Frontiers in Genetics;2020-10-29

5. Early Diagnosis of Pancreatic Ductal Adenocarcinoma by Combining Relative Expression Orderings With Machine-Learning Method;Frontiers in Cell and Developmental Biology;2020-10-15