BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Zhou L, Huang W, Yu HF, Feng YJ, Teng X. Exploring TCGA database for identification of potential prognostic genes in stomach adenocarcinoma. Cancer Cell Int 2020;20:264. [PMID: 32581654 DOI: 10.1186/s12935-020-01351-3] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Xiang S, Li J, Shen J, Zhao Y, Wu X, Li M, Yang X, Kaboli PJ, Du F, Zheng Y, Wen Q, Cho CH, Yi T, Xiao Z. Identification of Prognostic Genes in the Tumor Microenvironment of Hepatocellular Carcinoma. Front Immunol 2021;12:653836. [PMID: 33897701 DOI: 10.3389/fimmu.2021.653836] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Wang H, Lu L, Liang X, Chen Y. Identification of prognostic genes in the pancreatic adenocarcinoma immune microenvironment by integrated bioinformatics analysis. Cancer Immunol Immunother 2021. [PMID: 34854950 DOI: 10.1007/s00262-021-03110-3] [Reference Citation Analysis]
3 Yi J, Shuang Z, Zhong W, Wu H, Feng J, Zouxu X, Huang X, Li S, Wang X. Identification of Immune-Related Risk Characteristics and Prognostic Value of Immunophenotyping in TNBC. Front Genet 2021;12:730442. [PMID: 34777466 DOI: 10.3389/fgene.2021.730442] [Reference Citation Analysis]
4 Xue D, Li D, Dou C, Li J. A Comprehensive Bioinformatic Analysis of NOTCH Pathway Involvement in Stomach Adenocarcinoma. Dis Markers 2021;2021:4739868. [PMID: 34925644 DOI: 10.1155/2021/4739868] [Reference Citation Analysis]
5 Yi J, Zhong W, Wu H, Feng J, Zouxu X, Huang X, Li S, Shuang Z. Identification of Key Genes Affecting the Tumor Microenvironment and Prognosis of Triple-Negative Breast Cancer. Front Oncol 2021;11:746058. [PMID: 34745969 DOI: 10.3389/fonc.2021.746058] [Reference Citation Analysis]
6 Li Q, Xu L, Li Y, Yang R, Qiao Q, Wang Y, Wang L, Guo Y, Guo C. P2RY14 Is a Potential Biomarker of Tumor Microenvironment Immunomodulation and Favorable Prognosis in Patients With Head and Neck Cancer. Front Genet 2021;12:670746. [PMID: 34306014 DOI: 10.3389/fgene.2021.670746] [Reference Citation Analysis]
7 Zou T, Liu W, Wang Z, Chen J, Lu S, Huang K, Li W. C3AR1 mRNA as a Potential Therapeutic Target Associates With Clinical Outcomes and Tumor Microenvironment in Osteosarcoma. Front Med (Lausanne) 2021;8:642615. [PMID: 33748161 DOI: 10.3389/fmed.2021.642615] [Reference Citation Analysis]
8 Nation JB, Cabot-Miller J, Segal O, Lucito R, Adaricheva K. Combining Algorithms to Find Signatures That Predict Risk in Early-Stage Stomach Cancer. J Comput Biol 2021;28:985-1006. [PMID: 34582702 DOI: 10.1089/cmb.2020.0568] [Reference Citation Analysis]
9 Zhao E, Bai X. Identification of Key Genes of Prognostic Value in Clear Cell Renal Cell Carcinoma Microenvironment and a Risk Score Prognostic Model. Dis Markers 2020;2020:8852388. [PMID: 32952743 DOI: 10.1155/2020/8852388] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Yin HM, He Q, Chen J, Li Z, Yang W, Hu X. Drug metabolism-related eight-gene signature can predict the prognosis of gastric adenocarcinoma. J Clin Lab Anal 2021;35:e24085. [PMID: 34773716 DOI: 10.1002/jcla.24085] [Reference Citation Analysis]
11 Zhang S, Liu C, Li G, Liu Y, Wang X, Qiu Y. Elevated expression of MKRN3 in squamous cell carcinoma of the head and neck and its clinical significance. Cancer Cell Int 2021;21:557. [PMID: 34689784 DOI: 10.1186/s12935-021-02271-6] [Reference Citation Analysis]