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Cited by in F6Publishing
For: Ye Z, Zheng M, Zeng Y, Wei S, Wang Y, Lin Z, Shu C, Xie Y, Zheng Q, Chen L. Bioinformatics Analysis Reveals an Association Between Cancer Cell Stemness, Gene Mutations, and the Immune Microenvironment in Stomach Adenocarcinoma. Front Genet 2020;11:595477. [PMID: 33362856 DOI: 10.3389/fgene.2020.595477] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhu Y, Zhao Y, Cao Z, Chen Z, Pan W. Identification of three immune subtypes characterized by distinct tumor immune microenvironment and therapeutic response in stomach adenocarcinoma. Gene 2022;818:146177. [PMID: 35065254 DOI: 10.1016/j.gene.2021.146177] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
2 Goodrich JM, Calkins MM, Caban-Martinez AJ, Stueckle T, Grant C, Calafat AM, Nematollahi A, Jung AM, Graber JM, Jenkins T, Slitt AL, Dewald A, Cook Botelho J, Beitel S, Littau S, Gulotta J, Wallentine D, Hughes J, Popp C, Burgess JL. Per- and polyfluoroalkyl substances, epigenetic age and DNA methylation: a cross-sectional study of firefighters. Epigenomics 2021;13:1619-36. [PMID: 34670402 DOI: 10.2217/epi-2021-0225] [Reference Citation Analysis]
3 Zhang S, Yu H, Li J, Zhao L, Tan L, Song Q, Sun C. Identification of Prognostic and Tumor Microenvironment by Shelterin Complex-Related Signatures in Oral Squamous Cell Carcinoma. Oxid Med Cell Longev 2022;2022:6849304. [PMID: 35757510 DOI: 10.1155/2022/6849304] [Reference Citation Analysis]
4 Xue S, Zheng T, Yan J, Ma J, Lin C, Dong S, Wei C, Li T, Zhang X, Li G. Identification of a 3-Gene Model as Prognostic Biomarker in Patients With Gastric Cancer. Front Oncol 2022;12:930586. [DOI: 10.3389/fonc.2022.930586] [Reference Citation Analysis]
5 Liang X, Wang Y, Pei L, Tan X, Dong C. Identification of Prostate Cancer Risk Genetics Biomarkers Based on Intergraded Bioinformatics Analysis. Front Surg 2022;9:856446. [DOI: 10.3389/fsurg.2022.856446] [Reference Citation Analysis]
6 Ding W, Zhou X, Jiang G, Xu W, Long S, Xiao F, Liao Y, Liu J, Mei J. Identification of Prognostic Biomarkers of Glioblastoma Based on Multidatabase Integration and Its Correlation with Immune-Infiltration Cells. Journal of Oncology 2022;2022:1-20. [DOI: 10.1155/2022/3909030] [Reference Citation Analysis]
7 Wang Z, Yang L, Huang Z, Li X, Xiao J, Qu Y, Huang L, Wang Y. Identification of Prognosis Biomarkers for High-Grade Serous Ovarian Cancer Based on Stemness. Front Genet 2022;13:861954. [PMID: 35360863 DOI: 10.3389/fgene.2022.861954] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Hossain MJ, Chowdhury UN, Islam MB, Uddin S, Ahmed MB, Quinn JMW, Moni MA. Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer. Comput Biol Med 2021;135:104539. [PMID: 34153790 DOI: 10.1016/j.compbiomed.2021.104539] [Reference Citation Analysis]
9 Wu J, Luo M, Chen Z, Li L, Huang X. Integrated Analysis of the Expression Characteristics, Prognostic Value, and Immune Characteristics of PPARG in Breast Cancer. Front Genet 2021;12:737656. [PMID: 34567087 DOI: 10.3389/fgene.2021.737656] [Reference Citation Analysis]