Identification of candidate biomarkers correlated with the pathogenesis and prognosis of breast cancer via integrated bioinformatics analysis-Reference-Cited by-同舟云学术

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Identification of candidate biomarkers correlated with the pathogenesis and prognosis of breast cancer via integrated bioinformatics analysis

Published:2020-12-04 Issue:49 Volume:99 Page:e23153
ISSN:0025-7974
Container-title:Medicine
language:en
Short-container-title:

Author:

Liu Shuyu,Liu Xinkui,Wu Jiarui,Zhou Wei,Ni Mengwei,Meng Ziqi,Jia Shanshan,Zhang Jingyuan,Guo Siyu,Lu Shan,Li Yingfei

Funder

the National Nature Science Foundation of China

the Young Scientists Training Program of Beijing University of Chinese Medicine

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Reference75 articles.

1. Cancer Statistics, 2017;Siegel;CA Cancer J Clin,2015

2. Cancer statistics, 2019;Siegel;CA Cancer J Clin,2019

3. Identification of core genes and potential molecular mechanisms in breast cancer using bioinformatics analysis;Liu;Pathol Res Pract,2019

4. Elevated cyclin B2 expression in invasive breast carcinoma is associated with unfavorable clinical outcome;Shubbar;BMC Cancer,2013

5. The Gene Expression Omnibus (GEO): a gene expression and hybridization repository;Edgar;Nucleic Acids Res,2002

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