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Cited by in F6Publishing
For: Wang Z, Embaye KS, Yang Q, Qin L, Zhang C, Liu L, Zhan X, Zhang F, Wang X, Qin S. Establishment and validation of a prognostic signature for lung adenocarcinoma based on metabolism-related genes. Cancer Cell Int 2021;21:219. [PMID: 33858449 DOI: 10.1186/s12935-021-01915-x] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 7.5] [Reference Citation Analysis]
Number Citing Articles
1 Li J, Du Q, Sun J, Xiang L, Wang S. Identification and validation of a novel phagocytosis regulators-related signature with potential prognostic and immunotherapeutic value in patients with lung adenocarcinoma. Front Oncol 2022;12. [DOI: 10.3389/fonc.2022.988332] [Reference Citation Analysis]
2 Chen Y, Tang L, Huang W, Zhang Y, Abisola FH, Li L. Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma. Front Endocrinol 2022;13. [DOI: 10.3389/fendo.2022.963220] [Reference Citation Analysis]
3 Fei Y, Xu J, Ge L, Chen L, Yu H, Pan L, Chen P. Establishment and validation of individualized clinical prognostic markers for LUAD patients based on autophagy-related genes. Aging 2022;14:7328-47. [DOI: 10.18632/aging.204097] [Reference Citation Analysis]
4 Wang Z, Zhang S, Li J, Yuan Y, Chen S, Zuo M, Li W, Feng W, Chen M, Liu Y. Prognostic value of lactate metabolism-related gene expression signature in adult primary gliomas and its impact on the tumor immune microenvironment. Front Oncol 2022;12:1008219. [DOI: 10.3389/fonc.2022.1008219] [Reference Citation Analysis]
5 Xiang J, Su R, Wu S, Zhou L. Construction of a prognostic signature for serous ovarian cancer based on lactate metabolism-related genes. Front Oncol 2022;12:967342. [DOI: 10.3389/fonc.2022.967342] [Reference Citation Analysis]
6 Wang Y, Xu J, Fang Y, Gu J, Zhao F, Tang Y, Xu R, Zhang B, Wu J, Fang Z, Li Y. Comprehensive analysis of a novel signature incorporating lipid metabolism and immune-related genes for assessing prognosis and immune landscape in lung adenocarcinoma. Front Immunol 2022;13:950001. [DOI: 10.3389/fimmu.2022.950001] [Reference Citation Analysis]
7 Feng Y, Li N, Ren Y. GNPNAT1 Predicts Poor Prognosis and Cancer Development in Non-Small Cell Lung Cancer. Cancer Manag Res 2022;14:2419-28. [PMID: 35975106 DOI: 10.2147/CMAR.S367857] [Reference Citation Analysis]
8 Wang Z, Liu Y, Zhan X, Wang X, Zhang C, Qin L, Liu L, Qin S. A novel prognostic signature of metastasis-associated genes and personalized therapeutic strategy for lung adenocarcinoma patients. Aging (Albany NY) 2022;14. [PMID: 35830566 DOI: 10.18632/aging.204169] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
9 Shen Y, Huang Q, Zhang Y, Hsueh CY, Zhou L. A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma. Cancer Cell Int 2022;22:226. [PMID: 35804447 DOI: 10.1186/s12935-022-02647-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Tian W, Zhou J, Chen M, Qiu L, Li Y, Zhang W, Guo R, Lei N, Chang L. Bioinformatics analysis of the role of aldolase A in tumor prognosis and immunity. Sci Rep 2022;12:11632. [PMID: 35804089 DOI: 10.1038/s41598-022-15866-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Zhang Y, Zhang X, Meng Y, Xu X, Zuo D. The role of glycolysis and lactate in the induction of tumor-associated macrophages immunosuppressive phenotype. Int Immunopharmacol 2022;110:108994. [PMID: 35777265 DOI: 10.1016/j.intimp.2022.108994] [Reference Citation Analysis]
12 Ye H, Zheng Z, Song Y, Huang G, Wu Q, Ai Y, Lv X, Marchetti C. Metabolism-Related Bioinformatics Analysis Reveals That HPRT1 Facilitates the Progression of Oral Squamous Cell Carcinoma In Vitro. Journal of Oncology 2022;2022:1-16. [DOI: 10.1155/2022/7453185] [Reference Citation Analysis]
13 Wan R, Liao H, Liu J, Zhou L, Yin Y, Mu T, Wei J, Shen Y. Development of a 5-Gene Signature to Evaluate Lung Adenocarcinoma Prognosis Based on the Features of Cancer Stem Cells. BioMed Research International 2022;2022:1-28. [DOI: 10.1155/2022/4404406] [Reference Citation Analysis]
14 Ahluwalia P, Mondal AK, Ahluwalia M, Sahajpal NS, Jones K, Jilani Y, Gahlay GK, Barrett A, Kota V, Rojiani AM, Kolhe R. Clinical and molecular assessment of an onco-immune signature with prognostic significance in patients with colorectal cancer. Cancer Med 2022. [PMID: 35137551 DOI: 10.1002/cam4.4568] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
15 Zhu J, Mou Y, Ye S, Hu H, Wang R, Yang Q, Hu Y. Identification of a Six-Gene SLC Family Signature With Prognostic Value in Patients With Lung Adenocarcinoma. Front Cell Dev Biol 2021;9:803198. [PMID: 34977043 DOI: 10.3389/fcell.2021.803198] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Wu X, Zhu J, Liu W, Jin M, Xiong M, Hu K. A Novel Prognostic and Predictive Signature for Lung Adenocarcinoma Derived from Combined Hypoxia and Infiltrating Immune Cell-Related Genes in TCGA Patients. IJGM 2021;Volume 14:10467-10481. [DOI: 10.2147/ijgm.s342107] [Reference Citation Analysis]
17 Wan S, Liu Z, Chen Y, Mai Z, Jiang M, Di Q, Sun B. MicroRNA-140-3p represses the proliferation, migration, invasion and angiogenesis of lung adenocarcinoma cells via targeting TYMS (thymidylate synthetase). Bioengineered 2021;12:11959-77. [PMID: 34818974 DOI: 10.1080/21655979.2021.2009422] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]