BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Ma C, Luo H, Cao J, Zheng X, Zhang J, Zhang Y, Fu Z. Identification of a Novel Tumor Microenvironment-Associated Eight-Gene Signature for Prognosis Prediction in Lung Adenocarcinoma. Front Mol Biosci 2020;7:571641. [PMID: 33102522 DOI: 10.3389/fmolb.2020.571641] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Luo L, Li M, Su J, Yao X, Luo H. FURIN correlated with immune infiltration serves as a potential biomarker in SARS-CoV-2 infection-related lung adenocarcinoma. Clin Exp Med 2021. [PMID: 34510311 DOI: 10.1007/s10238-021-00760-6] [Reference Citation Analysis]
2 Li F, Wan B, He X, Li X, Wang F. Identification of Novel Subtypes in Lung Adenocarcinoma: Evidence from Gene Set Variation Analysis in Tumor and Adjacent Nontumor Samples. Disease Markers 2022;2022:1-10. [DOI: 10.1155/2022/2602812] [Reference Citation Analysis]
3 Zhao H, Zhang X, Guo L, Shi S, Lu C. A Robust Seven-Gene Signature Associated With Tumor Microenvironment to Predict Survival Outcomes of Patients With Stage III-IV Lung Adenocarcinoma. Front Genet 2021;12:684281. [PMID: 34552612 DOI: 10.3389/fgene.2021.684281] [Reference Citation Analysis]
4 Zhou C, Wang Y, Wang Y, Lei L, Ji MH, Zhou G, Xia H, Yang JJ. Predicting lung adenocarcinoma prognosis with a novel risk scoring based on platelet-related gene expression. Aging (Albany NY) 2021;13:8706-19. [PMID: 33619234 DOI: 10.18632/aging.202682] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Jin C, Li R, Deng T, Li J, Yang Y, Li H, Chen K, Xiong H, Chen G, Wang Y. Identification and Validation of a Prognostic Prediction Model of m6A Regulator-Related LncRNAs in Hepatocellular Carcinoma. Front Mol Biosci 2021;8:784553. [PMID: 34988119 DOI: 10.3389/fmolb.2021.784553] [Reference Citation Analysis]
6 Liu X, Shang X, Li J, Zhang S. The Prognosis and Immune Checkpoint Blockade Efficacy Prediction of Tumor-Infiltrating Immune Cells in Lung Cancer. Front Cell Dev Biol 2021;9:707143. [PMID: 34422829 DOI: 10.3389/fcell.2021.707143] [Reference Citation Analysis]
7 Zhu Z, Zhang M, Wang W, Zhang P, Wang Y, Wang L. Global Characterization of Metabolic Genes Regulating Survival and Immune Infiltration in Osteosarcoma. Front Genet 2021;12:814843. [PMID: 35096022 DOI: 10.3389/fgene.2021.814843] [Reference Citation Analysis]
8 Fan L, Ru J, Liu T, Ma C. Identification of a Novel Prognostic Gene Signature From the Immune Cell Infiltration Landscape of Osteosarcoma. Front Cell Dev Biol 2021;9:718624. [PMID: 34552929 DOI: 10.3389/fcell.2021.718624] [Reference Citation Analysis]
9 Musha K, Ge X, Ablikim N, Lu B, Chen C, Huang J, Rai SN. Comprehensive Analysis of RELL2 as a Potential Biomarker Associated with Tumor Immune Infiltrating Cells in a Pan-Cancer Analysis. Disease Markers 2022;2022:1-21. [DOI: 10.1155/2022/5009512] [Reference Citation Analysis]
10 Cheng X, Cao Y, Wang X, Cheng L, Liu Y, Lei J, Peng W, Shi D. Systematic Pan-Cancer Analysis of KLRB1 with Prognostic Value and Immunological Activity across Human Tumors. J Immunol Res 2022;2022:5254911. [PMID: 35028320 DOI: 10.1155/2022/5254911] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Zhao QY, Liu LP, Lu L, Gui R, Luo YW. A Novel Intercellular Communication-Associated Gene Signature for Prognostic Prediction and Clinical Value in Patients With Lung Adenocarcinoma. Front Genet 2021;12:702424. [PMID: 34497634 DOI: 10.3389/fgene.2021.702424] [Reference Citation Analysis]
12 Wu W, Jia L, Zhang Y, Zhao J, Dong Y, Qiang Y. Exploration of the prognostic signature reflecting tumor microenvironment of lung adenocarcinoma based on immunologically relevant genes. Bioengineered 2021;12:7417-31. [PMID: 34612148 DOI: 10.1080/21655979.2021.1974779] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Cao Y, Zhan Y, Qiu S, Chen Z, Gong K, Ni S, Duan Y. Integrative analysis of genome-wide DNA methylation and single-nucleotide polymorphism identified ACSM5 as a suppressor of lumbar ligamentum flavum hypertrophy. Arthritis Res Ther 2021;23:251. [PMID: 34593020 DOI: 10.1186/s13075-021-02625-5] [Reference Citation Analysis]
14 Yang J, Zhang A, Luo H, Ma C. Construction and validation of a novel gene signature for predicting the prognosis of osteosarcoma. Sci Rep 2022;12:1279. [PMID: 35075228 DOI: 10.1038/s41598-022-05341-5] [Reference Citation Analysis]