139 related articles for article (PubMed ID: 36157157)
1. iCEMIGE: Integration of CEll-morphometrics, MIcrobiome, and GEne biomarker signatures for risk stratification in breast cancers.
Mao XY; Perez-Losada J; Abad M; Rodríguez-González M; Rodríguez CA; Mao JH; Chang H
World J Clin Oncol; 2022 Jul; 13(7):616-629. PubMed ID: 36157157
[TBL] [Abstract][Full Text] [Related]
2. Identification of a novel cancer microbiome signature for predicting prognosis of human breast cancer patients.
Mao AW; Barck H; Young J; Paley A; Mao J-; Chang H
Clin Transl Oncol; 2022 Mar; 24(3):597-604. PubMed ID: 34741726
[TBL] [Abstract][Full Text] [Related]
3. Oncogenic signaling pathway-related long non-coding RNAs for predicting prognosis and immunotherapy response in breast cancer.
Li H; Liu H; Hao Q; Liu X; Yao Y; Cao M
Front Immunol; 2022; 13():891175. PubMed ID: 35990668
[TBL] [Abstract][Full Text] [Related]
4. Construction of a novel mRNA-signature prediction model for prognosis of bladder cancer based on a statistical analysis.
Li J; Cao J; Li P; Yao Z; Deng R; Ying L; Tian J
BMC Cancer; 2021 Jul; 21(1):858. PubMed ID: 34315402
[TBL] [Abstract][Full Text] [Related]
5. Machine learning models demonstrate that clinicopathologic variables are comparable to gene expression prognostic signature in predicting survival in uveal melanoma.
Donizy P; Krzyzinski M; Markiewicz A; Karpinski P; Kotowski K; Kowalik A; Orlowska-Heitzman J; Romanowska-Dixon B; Biecek P; Hoang MP
Eur J Cancer; 2022 Oct; 174():251-260. PubMed ID: 36067618
[TBL] [Abstract][Full Text] [Related]
6. Systematic analysis of lncRNA-miRNA-mRNA competing endogenous RNA network identifies four-lncRNA signature as a prognostic biomarker for breast cancer.
Fan CN; Ma L; Liu N
J Transl Med; 2018 Sep; 16(1):264. PubMed ID: 30261893
[TBL] [Abstract][Full Text] [Related]
7. Nine-gene signature and nomogram for predicting survival in patients with head and neck squamous cell carcinoma.
Yang F; Zhou LQ; Yang HW; Wang YJ
Front Genet; 2022; 13():927614. PubMed ID: 36092911
[No Abstract] [Full Text] [Related]
8. An eight-lncRNA signature predicts survival of breast cancer patients: a comprehensive study based on weighted gene co-expression network analysis and competing endogenous RNA network.
Sun M; Wu D; Zhou K; Li H; Gong X; Wei Q; Du M; Lei P; Zha J; Zhu H; Gu X; Huang D
Breast Cancer Res Treat; 2019 May; 175(1):59-75. PubMed ID: 30715658
[TBL] [Abstract][Full Text] [Related]
9. Integrative transcriptional characterization of cell cycle checkpoint genes promotes clinical management and precision medicine in bladder carcinoma.
Shi WW; Guan JZ; Long YP; Song Q; Xiong Q; Qin BY; Ma ZQ; Hu Y; Yang B
Front Oncol; 2022; 12():915662. PubMed ID: 36033441
[TBL] [Abstract][Full Text] [Related]
10. A Novel YTHDF3-Based Model to Predict Prognosis and Therapeutic Response in Breast Cancer.
Liu J; Zhu J; Wang X; Zhou Z; Liu H; Zhu D
Front Mol Biosci; 2022; 9():874532. PubMed ID: 35755811
[No Abstract] [Full Text] [Related]
11. A Novel Gene Prognostic Signature Based on Differential DNA Methylation in Breast Cancer.
Zhu C; Zhang S; Liu D; Wang Q; Yang N; Zheng Z; Wu Q; Zhou Y
Front Genet; 2021; 12():742578. PubMed ID: 34956313
[No Abstract] [Full Text] [Related]
12. Identification of an 11-Autophagy-Related-Gene Signature as Promising Prognostic Biomarker for Bladder Cancer Patients.
Zhou C; Li AH; Liu S; Sun H
Biology (Basel); 2021 Apr; 10(5):. PubMed ID: 33925460
[TBL] [Abstract][Full Text] [Related]
13. Identification of a novel glycolysis-related signature to predict the prognosis of patients with breast cancer.
He M; Hu C; Deng J; Ji H; Tian W
World J Surg Oncol; 2021 Oct; 19(1):294. PubMed ID: 34600547
[TBL] [Abstract][Full Text] [Related]
14. Comprehensive
Xu T; Xu W; Zheng Y; Li X; Cai H; Xu Z; Zou Q; Yu B
Front Immunol; 2022; 13():931906. PubMed ID: 35958598
[TBL] [Abstract][Full Text] [Related]
15. Establishment and validation of a novel autophagy-related gene signature for patients with breast cancer.
Du JX; Chen C; Luo YH; Cai JL; Cai CZ; Xu J; Ni XJ; Zhu W
Gene; 2020 Dec; 762():144974. PubMed ID: 32707305
[TBL] [Abstract][Full Text] [Related]
16. Prognostic value of a novel glycolysis-related gene expression signature for gastrointestinal cancer in the Asian population.
Xia R; Tang H; Shen J; Xu S; Liang Y; Zhang Y; Gong X; Min Y; Zhang D; Tao C; Wang S; Zhang Y; Yang J; Wang C
Cancer Cell Int; 2021 Mar; 21(1):154. PubMed ID: 33663535
[TBL] [Abstract][Full Text] [Related]
17. A Signature of Autophagy-Related Long Non-coding RNA to Predict the Prognosis of Breast Cancer.
Li X; Chen J; Yu Q; Huang H; Liu Z; Wang C; He Y; Zhang X; Li W; Li C; Zhao J; Long W
Front Genet; 2021; 12():569318. PubMed ID: 33796128
[No Abstract] [Full Text] [Related]
18. Integrative Analysis of DNA Methylation and Gene Expression to Determine Specific Diagnostic Biomarkers and Prognostic Biomarkers of Breast Cancer.
Zhang M; Wang Y; Wang Y; Jiang L; Li X; Gao H; Wei M; Zhao L
Front Cell Dev Biol; 2020; 8():529386. PubMed ID: 33365308
[No Abstract] [Full Text] [Related]
19. A seven-nuclear receptor-based prognostic signature in breast cancer.
Wu F; Chen W; Kang X; Jin L; Bai J; Zhang H; Zhang X
Clin Transl Oncol; 2021 Jul; 23(7):1292-1303. PubMed ID: 33210236
[TBL] [Abstract][Full Text] [Related]
20. A Novel Signature Integrated of Immunoglobulin, Glycosylation and Anti-Viral Genes to Predict Prognosis for Breast Cancer.
Xu S; Liu Y; Ma H; Fang S; Wei S; Li X; Lu Z; Zheng Y; Liu T; Zhu X; Xu D; Pan Y
Front Genet; 2022; 13():834731. PubMed ID: 35432482
[No Abstract] [Full Text] [Related]
[Next] [New Search]
