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For: Huang Y, Chen S, Qin W, Wang Y, Li L, Li Q, Yuan X. A Novel RNA Binding Protein-Related Prognostic Signature for Hepatocellular Carcinoma. Front Oncol 2020;10:580513. [PMID: 33251144 DOI: 10.3389/fonc.2020.580513] [Cited by in Crossref: 4] [Cited by in F6Publishing: 18] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Xu S, Liu H, Tian R, Xie J, Chen S, Luo J, Zhu H, Wang Y, Li Z. Construction and validation of a prognostic model with RNA binding protein-related mRNAs for the HBV-related hepatocellular carcinoma patients. Front Oncol 2022;12:970613. [DOI: 10.3389/fonc.2022.970613] [Reference Citation Analysis]
2 Huang Y, Yuan Y, Chen S, Xu D, Xiao L, Wang X, Qin W, Liu B. Identifying potential pharmacological targets and mechanisms of vitamin D for hepatocellular carcinoma and COVID-19. Front Immunol 2022;13:985781. [DOI: 10.3389/fimmu.2022.985781] [Reference Citation Analysis]
3 Jiao Y, Li S, Wang X, Yi M, Wei H, Rong S, Zheng K, Zhang L. A genomic instability-related lncRNA model for predicting prognosis and immune checkpoint inhibitor efficacy in breast cancer. Front Immunol 2022;13:929846. [DOI: 10.3389/fimmu.2022.929846] [Reference Citation Analysis]
4 Bao S, Wang X, Li M, Gao Z, Zheng D, Shen D, Liu L. Potential of Mitochondrial Ribosomal Genes as Cancer Biomarkers Demonstrated by Bioinformatics Results. Front Oncol 2022;12:835549. [PMID: 35719986 DOI: 10.3389/fonc.2022.835549] [Reference Citation Analysis]
5 Peng X, Wang X, Guo Y, Ge Z, Li F, Gao X, Song J. RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins. Brief Bioinform 2022:bbac215. [PMID: 35649392 DOI: 10.1093/bib/bbac215] [Reference Citation Analysis]
6 Ye Q, Yang X, Zheng S, Mao X, Shao Y, Xuan Z, Huang P. Low expression of moonlight gene ALAD is correlated with poor prognosis in hepatocellular carcinoma. Gene 2022;825:146437. [PMID: 35318110 DOI: 10.1016/j.gene.2022.146437] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Huang S, Huang Y, Lin W, Wang L, Yang Y, Li P, Xiao L, Chen Y, Chu Q, Yuan X, Tang C. Sitagliptin Alleviates Radiation-Induced Intestinal Injury by Activating NRF2-Antioxidant Axis, Mitigating NLRP3 Inf--lammasome Activation, and Reversing Gut Microbiota Disorder. Oxidative Medicine and Cellular Longevity 2022;2022:1-17. [DOI: 10.1155/2022/2586305] [Reference Citation Analysis]
8 Zhang W, Zhang H, Zhong Y, Zhang K, Kong H, Yu L, Chen Y, Bai Y, Zhu Z, Yang Y, Gao X. Novel and Specific MRI Features Indicate the Clinical Features of Patients With Rare Hepatic Tumor Epithelioid Hemangioendothelioma. Front Oncol 2022;12:729177. [PMID: 35155220 DOI: 10.3389/fonc.2022.729177] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Huang Y, Chen S, Xiao L, Qin W, Li L, Wang Y, Ma L, Yuan X. A Novel Prognostic Signature for Survival Prediction and Immune Implication Based on SARS-CoV-2–Related Genes in Kidney Renal Clear Cell Carcinoma. Front Bioeng Biotechnol 2022;9:744659. [DOI: 10.3389/fbioe.2021.744659] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
10 Zhang Q, Zhang Y, Guo Y, Tang H, Li M, Liu L. A novel machine learning derived RNA-binding protein gene-based score system predicts prognosis of hepatocellular carcinoma patients. PeerJ 2021;9:e12572. [PMID: 35036125 DOI: 10.7717/peerj.12572] [Reference Citation Analysis]
11 Wang Q, Xie H, Peng H, Yan J, Han L, Ye G. ZC3H13 Inhibits the Progression of Hepatocellular Carcinoma through m6A-PKM2-Mediated Glycolysis and Enhances Chemosensitivity. J Oncol 2021;2021:1328444. [PMID: 35003256 DOI: 10.1155/2021/1328444] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
12 Fang ZS, Zhang Z, Liang ZJ, Long ZR, Xiao Y, Liang ZY, Sun X, Li HM, Huang H. Liquid-Liquid Phase Separation-Related Genes Associated with Tumor Grade and Prognosis in Hepatocellular Carcinoma: A Bioinformatic Study. Int J Gen Med 2021;14:9671-9. [PMID: 34934344 DOI: 10.2147/IJGM.S342602] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
13 Huang Z, Li F, Li Q. Expression profile of RNA binding protein in cervical cancer using bioinformatics approach. Cancer Cell Int 2021;21:647. [PMID: 34863153 DOI: 10.1186/s12935-021-02319-7] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
14 Khan R, Palo A, Dixit M. Role of FRG1 in predicting the overall survivability in cancers using multivariate based optimal model. Sci Rep 2021;11:22505. [PMID: 34795329 DOI: 10.1038/s41598-021-01665-w] [Reference Citation Analysis]
15 Wang H, Yu S, Cai Q, Ma D, Yang L, Zhao J, Jiang L, Zhang X, Yu Z. The Prognostic Model Based on Tumor Cell Evolution Trajectory Reveals a Different Risk Group of Hepatocellular Carcinoma. Front Cell Dev Biol 2021;9:737723. [PMID: 34660596 DOI: 10.3389/fcell.2021.737723] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
16 Qiu Z, Jiang H, Ju K, Liu X. A Novel RNA-Binding Protein Signature to Predict Clinical Outcomes and Guide Clinical Therapy in Gastric Cancer. Front Med (Lausanne) 2021;8:670141. [PMID: 34336882 DOI: 10.3389/fmed.2021.670141] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
17 Pan Q, Qin F, Yuan H, He B, Yang N, Zhang Y, Ren H, Zeng Y. Normal tissue adjacent to tumor expression profile analysis developed and validated a prognostic model based on Hippo-related genes in hepatocellular carcinoma. Cancer Med 2021;10:3139-52. [PMID: 33818013 DOI: 10.1002/cam4.3890] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
18 Zhang T, Nie Y, Gu J, Cai K, Chen X, Li H, Wang J. Identification of Mitochondrial-Related Prognostic Biomarkers Associated With Primary Bile Acid Biosynthesis and Tumor Microenvironment of Hepatocellular Carcinoma. Front Oncol 2021;11:587479. [PMID: 33868990 DOI: 10.3389/fonc.2021.587479] [Cited by in F6Publishing: 7] [Reference Citation Analysis]