BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Dai GP, Wang LP, Wen YQ, Ren XQ, Zuo SG. Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis. Oncol Lett 2020;19:388-98. [PMID: 31897151 DOI: 10.3892/ol.2019.11068] [Cited by in Crossref: 4] [Cited by in F6Publishing: 18] [Article Influence: 1.3] [Reference Citation Analysis]
Number Citing Articles
1 Wang X, Sun R, Chan S, Meng L, Xu Y, Zuo X, Wang Z, Hu X, Han Q, Dai L, Bai T, Yu Z, Wang M, Yang W, Zhang H, Chen W. PANoptosis-based molecular clustering and prognostic signature predicts patient survival and immune landscape in colon cancer. Front Genet 2022;13:955355. [DOI: 10.3389/fgene.2022.955355] [Reference Citation Analysis]
2 Janani B, Vijayakumar M, Priya K, Kim JH, Geddawy A, Shahid M, El-bidawy MH, Al-ghamdi S, Alsaidan M, Abdelzaher MH, Mohideen AP, Ramesh T. A network-based pharmacological investigation to identify the mechanistic regulatory pathway of andrographolide against colorectal cancer. Front Pharmacol 2022;13:967262. [DOI: 10.3389/fphar.2022.967262] [Reference Citation Analysis]
3 Cao J, Xu Y, Liu X, Cai Y, Luo B. Innovative signature establishment using lymphangiogenesis-related lncRNA pairs to predict prognosis of hepatocellular carcinoma. Heliyon 2022;8:e10215. [PMID: 36033263 DOI: 10.1016/j.heliyon.2022.e10215] [Reference Citation Analysis]
4 Wu P, Yang X, Qiao L, Gong Y, Zhang Z. Identification of Six Genes as Diagnostic Markers for Colorectal Cancer Detection by Integrating Multiple Expression Profiles. Journal of Oncology 2022;2022:1-17. [DOI: 10.1155/2022/3850674] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Lei T, Zhang Y, Wang X, Liu W, Feng W, Song W. A Diagnostic Model Using Exosomal Genes for Colorectal Cancer. Front Genet 2022;13:863747. [DOI: 10.3389/fgene.2022.863747] [Reference Citation Analysis]
6 Koppad S, Basava A, Nash K, Gkoutos GV, Acharjee A. Machine Learning-Based Identification of Colon Cancer Candidate Diagnostics Genes. Biology (Basel) 2022;11:365. [PMID: 35336739 DOI: 10.3390/biology11030365] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Mohammed M, Mboya IB, Mwambi H, Elbashir MK, Omolo B. Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression data. PLoS One 2021;16:e0261625. [PMID: 34965262 DOI: 10.1371/journal.pone.0261625] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
8 Deng M, Lin JB, Zhao RC, Li SH, Lin WP, Zou JW, Wei W, Guo RP. Construction of a novel immune-related lncRNA signature and its potential to predict the immune status of patients with hepatocellular carcinoma. BMC Cancer 2021;21:1347. [PMID: 34923955 DOI: 10.1186/s12885-021-09059-x] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
9 Al-Harazi O, Kaya IH, El Allali A, Colak D. A Network-Based Methodology to Identify Subnetwork Markers for Diagnosis and Prognosis of Colorectal Cancer. Front Genet 2021;12:721949. [PMID: 34790220 DOI: 10.3389/fgene.2021.721949] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
10 Wang X, Chen K, Wang Z, Xu Y, Dai L, Bai T, Chen B, Yang W, Chen W. Using Immune-Related Long Non-coding Ribonucleic Acids to Develop a Novel Prognosis Signature and Predict the Immune Landscape of Colon Cancer. Front Cell Dev Biol 2021;9:750709. [PMID: 34660608 DOI: 10.3389/fcell.2021.750709] [Reference Citation Analysis]
11 Hameed Y, Usman M, Liang S, Ejaz S. Novel diagnostic and prognostic biomarkers of colorectal cancer: Capable to overcome the heterogeneity-specific barrier and valid for global applications. PLoS One 2021;16:e0256020. [PMID: 34473751 DOI: 10.1371/journal.pone.0256020] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
12 Hua S, Xie Z, Wang W, Wan Z, Chen M, Zhao S, Jiang J. Identification and Validation of a Novel Immune-Related lncRNA Signature for Bladder Cancer. Front Oncol 2021;11:704946. [PMID: 34322391 DOI: 10.3389/fonc.2021.704946] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
13 Wang X, Gao G, Chen Z, Chen Z, Han M, Xie X, Jin Q, Du H, Cao Z, Zhang H. Identification of the miRNA signature and key genes in colorectal cancer lymph node metastasis. Cancer Cell Int 2021;21:358. [PMID: 34315491 DOI: 10.1186/s12935-021-02058-9] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
14 Zhang Y, Mi K, Li Z, Qiang L, Lv M, Wu Y, Yuan L, Jin S. Identification of Prognostic miRNAs Associated With Immune Cell Tumor Infiltration Predictive of Clinical Outcomes in Patients With Non-Small Cell Lung Cancer. Front Oncol 2021;11:705869. [PMID: 34277450 DOI: 10.3389/fonc.2021.705869] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
15 Patil AR, Leung MY, Roy S. Identification of Hub Genes in Different Stages of Colorectal Cancer through an Integrated Bioinformatics Approach. Int J Environ Res Public Health 2021;18:5564. [PMID: 34070979 DOI: 10.3390/ijerph18115564] [Reference Citation Analysis]
16 Endo S, Matsunaga T, Nishinaka T. The Role of AKR1B10 in Physiology and Pathophysiology. Metabolites 2021;11:332. [PMID: 34063865 DOI: 10.3390/metabo11060332] [Cited by in F6Publishing: 12] [Reference Citation Analysis]
17 Hong W, Liang L, Gu Y, Qi Z, Qiu H, Yang X, Zeng W, Ma L, Xie J. Immune-Related lncRNA to Construct Novel Signature and Predict the Immune Landscape of Human Hepatocellular Carcinoma. Mol Ther Nucleic Acids 2020;22:937-47. [PMID: 33251044 DOI: 10.1016/j.omtn.2020.10.002] [Cited by in Crossref: 105] [Cited by in F6Publishing: 99] [Article Influence: 52.5] [Reference Citation Analysis]
18 Chen X, Chen J, Feng Y, Guan W. Prognostic Value of SLC4A4 and its Correlation with Immune Infiltration in Colon Adenocarcinoma. Med Sci Monit 2020;26:e925016. [PMID: 32949121 DOI: 10.12659/MSM.925016] [Cited by in F6Publishing: 2] [Reference Citation Analysis]