Detecting Prognosis Risk Biomarkers for Colon Cancer Through Multi-Omics-Based Prognostic Analysis and Target Regulation Simulation Modeling-Reference-Cited by-同舟云学术

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Detecting Prognosis Risk Biomarkers for Colon Cancer Through Multi-Omics-Based Prognostic Analysis and Target Regulation Simulation Modeling

Published:2020-05-26 Issue: Volume:11 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Yin Zuojing,Yan Xinmiao,Wang Qiming,Deng Zeliang,Tang Kailin,Cao Zhiwei,Qiu Tianyi

Funder

Fundamental Research Funds for the Central Universities

Publisher

Frontiers Media SA

Subject

Genetics (clinical),Genetics,Molecular Medicine

Reference79 articles.

1. Molecular portrait of metastasis-competent circulating tumor cells in colon cancer reveals the crucial role of genes regulating energy metabolism and DNA repair.;Alix-Panabieres;Clin. Chem.,2017

2. Improved overall survival with oxaliplatin, fluorouracil, and leucovorin as adjuvant treatment in stage II or III colon cancer in the MOSAIC trial.;Andre;J. Clin. Oncol.,2009

3. Interaction between smoking history and gene expression levels impacts survival of breast cancer patients.;Andres;Breast Cancer Res. Treat.,2015

4. Stromal gene expression defines poor-prognosis subtypes in colorectal cancer.;Calon;Nat. Genet.,2015

5. Association of treRNA with lymphatic metastasis and poor prognosis in colorectal cancer.;Chen;Int. J. Clin. Exp. Pathol.,2019

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