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For: Xu M, Li Y, Li W, Zhao Q, Zhang Q, Le K, Huang Z, Yi P. Immune and Stroma Related Genes in Breast Cancer: A Comprehensive Analysis of Tumor Microenvironment Based on the Cancer Genome Atlas (TCGA) Database. Front Med (Lausanne) 2020;7:64. [PMID: 32195260 DOI: 10.3389/fmed.2020.00064] [Cited by in Crossref: 27] [Cited by in F6Publishing: 29] [Article Influence: 13.5] [Reference Citation Analysis]
Number Citing Articles
1 Xiong Y, Xiong C, Li P, Shan X. Rutaecarpine prevents the malignant biological properties of breast cancer cells by the miR-149-3p/S100A4 axis. Ann Transl Med 2022;10:930. [PMID: 36172090 DOI: 10.21037/atm-22-3765] [Reference Citation Analysis]
2 Liu J, Geng R, Zhong Z, Zhang Y, Ni S, Liu W, Du M, Bai J, Roy S. N1-Methyladenosine-Related lncRNAs Are Potential Biomarkers for Predicting Prognosis and Immune Response in Uterine Corpus Endometrial Carcinoma. Oxidative Medicine and Cellular Longevity 2022;2022:1-32. [DOI: 10.1155/2022/2754836] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
3 Li R, Gao X, Sun H, Sun L, Hu X. Expression characteristics of long non-coding RNA in colon adenocarcinoma and its potential value for judging the survival and prognosis of patients: bioinformatics analysis based on The Cancer Genome Atlas database. J Gastrointest Oncol 2022;13:1178-87. [PMID: 35837189 DOI: 10.21037/jgo-22-384] [Reference Citation Analysis]
4 Zhao Z, Yin W, Peng X, Cai Q, He B, Shi S, Peng W, Tu G, Li Y, Li D, Tao Y, Peng M, Wang X, Yu F. A Machine-Learning Approach to Developing a Predictive Signature Based on Transcriptome Profiling of Ground-Glass Opacities for Accurate Classification and Exploring the Immune Microenvironment of Early-Stage LUAD. Front Immunol 2022;13:872387. [DOI: 10.3389/fimmu.2022.872387] [Reference Citation Analysis]
5 Ning S, Wu J, Pan Y, Qiao K, Li L, Huang Q. Identification of CD4+ Conventional T Cells-Related lncRNA Signature to Improve the Prediction of Prognosis and Immunotherapy Response in Breast Cancer. Front Immunol 2022;13:880769. [PMID: 35603183 DOI: 10.3389/fimmu.2022.880769] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 Wang J, Li C, Hou P. Feature screening for survival trait with application to TCGA high-dimensional genomic data. PeerJ 2022;10:e13098. [DOI: 10.7717/peerj.13098] [Reference Citation Analysis]
7 Devadze R, Gvenetadze A, Burkadze G. Phenotypic features of the immune microenvironment in ovarian epithelial neoplasms and its role in tumour progression. gs 2022. [DOI: 10.52340/gs.2022.04.01.13] [Reference Citation Analysis]
8 Wang Y, Wang Z, Sun J, Qian Y. Identification of HCC Subtypes With Different Prognosis and Metabolic Patterns Based on Mitophagy. Front Cell Dev Biol 2021;9:799507. [PMID: 34977039 DOI: 10.3389/fcell.2021.799507] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
9 Zhang S, Lv M, Cheng Y, Wang S, Li C, Qu X. Immune landscape of advanced gastric cancer tumor microenvironment identifies immunotherapeutic relevant gene signature. BMC Cancer 2021;21:1324. [PMID: 34893046 DOI: 10.1186/s12885-021-09065-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Huo X, Shen G, Li J, Wang M, Xie Q, Zhao F, Ren D, Dong Q, Zhao J. Identification of the GTPase IMAP family as an immune-related prognostic biomarker in the breast cancer tumor microenvironment. Gene 2021;812:146094. [PMID: 34896519 DOI: 10.1016/j.gene.2021.146094] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Zhang XQ, Li L. Biological Function and Clinical Value of VPS13A in Pan-Cancer Based on Bioinformatics Analysis. Int J Gen Med 2021;14:6825-38. [PMID: 34690502 DOI: 10.2147/IJGM.S330256] [Reference Citation Analysis]
12 Arora S, Singh P, Ahmad S, Ahmad T, Dohare R, Almatroodi SA, Alrumaihi F, Rahmani AH, Syed MA. Comprehensive Integrative Analysis Reveals the Association of KLF4 with Macrophage Infiltration and Polarization in Lung Cancer Microenvironment. Cells 2021;10:2091. [PMID: 34440860 DOI: 10.3390/cells10082091] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
13 Liu Y, Cheng L, Li C, Zhang C, Wang L, Zhang J. Identification of tumor microenvironment-related prognostic genes in colorectal cancer based on bioinformatic methods. Sci Rep 2021;11:15040. [PMID: 34294834 DOI: 10.1038/s41598-021-94541-6] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
14 Tang J, Jiang S, Gao Q, Xi X, Gao L, Zhao R, Lai X, Zhang B, Jiang Y. Development and validation of a nomogram based on stromal score to predict progression-free survival of patients with papillary thyroid carcinoma. Cancer Med 2021;10:5488-98. [PMID: 34240816 DOI: 10.1002/cam4.4112] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
15 Zhu X, Zhou Y, Ou Y, Cheng Z, Han D, Chu Z, Pan S. Characterization of ferroptosis signature to evaluate the predict prognosis and immunotherapy in glioblastoma. Aging (Albany NY) 2021;13:17655-72. [PMID: 34244461 DOI: 10.18632/aging.203257] [Cited by in Crossref: 7] [Cited by in F6Publishing: 13] [Article Influence: 7.0] [Reference Citation Analysis]
16 Unver N. Revisiting CCL-type chemokines in breast cancer and its milieu: prominent targetable chemokines, CCL8 and CCL21. Biosci Rep 2021;41:BSR20210033. [PMID: 34160019 DOI: 10.1042/BSR20210033] [Reference Citation Analysis]
17 Liu Y, Teng L, Fu S, Wang G, Li Z, Ding C, Wang H, Bi L. Highly heterogeneous-related genes of triple-negative breast cancer: potential diagnostic and prognostic biomarkers. BMC Cancer 2021;21:644. [PMID: 34053447 DOI: 10.1186/s12885-021-08318-1] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
18 He Q, Xue S, Wa Q, He M, Feng S, Chen Z, Chen W, Luo X. Mining immune-related genes with prognostic value in the tumor microenvironment of breast invasive ductal carcinoma. Medicine (Baltimore) 2021;100:e25715. [PMID: 33907159 DOI: 10.1097/MD.0000000000025715] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Li C, Liu T, Liu Y, Zhang J, Zuo D. Prognostic value of tumour microenvironment-related genes by TCGA database in rectal cancer. J Cell Mol Med 2021;25:5811-22. [PMID: 33949771 DOI: 10.1111/jcmm.16547] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
20 Cheng Y, Wang X, Qi P, Liu C, Wang S, Wan Q, Liu Y, Su Y, Jin L, Liu Y, Li C, Sang X, Yang L, Liu C, Duan H, Wang Z. Tumor Microenvironmental Competitive Endogenous RNA Network and Immune Cells Act as Robust Prognostic Predictor of Acute Myeloid Leukemia. Front Oncol 2021;11:584884. [PMID: 33898304 DOI: 10.3389/fonc.2021.584884] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 9.0] [Reference Citation Analysis]
21 Liu Y, Huang Z, Cheng G, Shou Y, Xu J, Liu D, Yang H, Liang H, Zhang X. Development of a four-gene prognostic model for clear cell renal cell carcinoma based on transcriptome analysis. Genomics 2021;113:1816-27. [PMID: 33838279 DOI: 10.1016/j.ygeno.2021.04.005] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
22 Liu M, Li F, Liu B, Jian Y, Zhang D, Zhou H, Wang Y, Xu Z. Profiles of immune cell infiltration and immune-related genes in the tumor microenvironment of esophageal squamous cell carcinoma. BMC Med Genomics 2021;14:75. [PMID: 33691689 DOI: 10.1186/s12920-021-00928-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
23 Yue T, Chen S, Zhu J, Guo S, Huang Z, Wang P, Zuo S, Liu Y. The aging-related risk signature in colorectal cancer. Aging (Albany NY) 2021;13:7330-49. [PMID: 33658390 DOI: 10.18632/aging.202589] [Cited by in Crossref: 15] [Cited by in F6Publishing: 18] [Article Influence: 15.0] [Reference Citation Analysis]
24 Dai D, Xie L, Shui Y, Li J, Wei Q. Identification of Tumor Microenvironment-Related Prognostic Genes in Sarcoma. Front Genet 2021;12:620705. [PMID: 33597971 DOI: 10.3389/fgene.2021.620705] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
25 Nguyen QH, Nguyen H, Nguyen T, Le DH. Multi-Omics Analysis Detects Novel Prognostic Subgroups of Breast Cancer. Front Genet 2020;11:574661. [PMID: 33193681 DOI: 10.3389/fgene.2020.574661] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
26 Liu X, Wang J. The nucleosome remodeling and deacetylase complex has prognostic significance and associates with immune microenvironment in skin cutaneous melanoma. Int Immunopharmacol 2020;88:106887. [PMID: 32799111 DOI: 10.1016/j.intimp.2020.106887] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
27 Liu Y, Zhou H, Zheng J, Zeng X, Yu W, Liu W, Huang G, Zhang Y, Fu W. Identification of Immune-Related Prognostic Biomarkers Based on the Tumor Microenvironment in 20 Malignant Tumor Types With Poor Prognosis. Front Oncol 2020;10:1008. [PMID: 32903590 DOI: 10.3389/fonc.2020.01008] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]