158 related articles for article (PubMed ID: 38454241)
1. Nine-Gene Prognostic Signature Related to Gut Microflora for Predicting the Survival in Gastric Cancer Patients.
Yue Q; Han W; Ling Lu Z
Turk J Gastroenterol; 2024 Feb; 35(2):102-111. PubMed ID: 38454241
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. A nomogram model based on the number of examined lymph nodes-related signature to predict prognosis and guide clinical therapy in gastric cancer.
Li H; Lin D; Yu Z; Li H; Zhao S; Hainisayimu T; Liu L; Wang K
Front Immunol; 2022; 13():947802. PubMed ID: 36405735
[TBL] [Abstract][Full Text] [Related]
4. Development and Validation of a Prognostic Nomogram for Gastric Cancer Based on DNA Methylation-Driven Differentially Expressed Genes.
Bai Y; Wei C; Zhong Y; Zhang Y; Long J; Huang S; Xie F; Tian Y; Wang X; Zhao H
Int J Biol Sci; 2020; 16(7):1153-1165. PubMed ID: 32174791
[No Abstract] [Full Text] [Related]
5. Identification of a 6-lncRNA prognostic signature based on microarray re-annotation in gastric cancer.
Ma B; Li Y; Ren Y
Cancer Med; 2020 Jan; 9(1):335-349. PubMed ID: 31743579
[TBL] [Abstract][Full Text] [Related]
6. Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.
Wang J; Qin D; Tao Z; Wang B; Xie Y; Wang Y; Li B; Cao J; Qiao X; Zhong S; Hu X
Front Immunol; 2022; 13():1056932. PubMed ID: 36479114
[TBL] [Abstract][Full Text] [Related]
7. Identification and validation of an individualized autophagy-clinical prognostic index in gastric cancer patients.
Qiu J; Sun M; Wang Y; Chen B
Cancer Cell Int; 2020; 20():178. PubMed ID: 32477008
[TBL] [Abstract][Full Text] [Related]
8. Identification of an EMT-Related Gene Signature for Predicting Overall Survival in Gastric Cancer.
Dai W; Xiao Y; Tang W; Li J; Hong L; Zhang J; Pei M; Lin J; Liu S; Wu X; Xiang L; Wang J
Front Genet; 2021; 12():661306. PubMed ID: 34249086
[TBL] [Abstract][Full Text] [Related]
9. Identification of a novel 10 immune-related genes signature as a prognostic biomarker panel for gastric cancer.
Chen T; Yang C; Dou R; Xiong B
Cancer Med; 2021 Sep; 10(18):6546-6560. PubMed ID: 34382341
[TBL] [Abstract][Full Text] [Related]
10. Identification of the angiogenesis related genes for predicting prognosis of patients with gastric cancer.
Zheng S; Zhang Z; Ding N; Sun J; Lin Y; Chen J; Zhong J; Shao L; Lin Z; Xue M
BMC Gastroenterol; 2021 Apr; 21(1):146. PubMed ID: 33794777
[TBL] [Abstract][Full Text] [Related]
11. A Novel RNA-Binding Protein-Based Nomogram for Predicting Survival of Patients with Gastric Cancer.
Zhu M; Cai J; Wu Y; Wu X; Feng L; Yin Z
Med Sci Monit; 2021 Jan; 27():e928195. PubMed ID: 33471782
[TBL] [Abstract][Full Text] [Related]
12. Identification of a Two-Gene Signature and Establishment of a Prognostic Nomogram Predicting Overall Survival in Diffuse-Type Gastric Cancer.
Chen S; Xu J; Yin S; Wang H; Liu G; Jin X; Zhang J; Wang H; Wang H; Li H; Liang J; He Y; Zhang C
Curr Oncol; 2022 Dec; 30(1):171-183. PubMed ID: 36661663
[TBL] [Abstract][Full Text] [Related]
13. Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets.
Jiang F; Lin H; Yan H; Sun X; Yang J; Dong M
Eur J Med Res; 2022 Oct; 27(1):205. PubMed ID: 36253873
[TBL] [Abstract][Full Text] [Related]
14. A 16-mRNA signature optimizes recurrence-free survival prediction of Stages II and III gastric cancer.
Peng K; Chen E; Li W; Cheng X; Yu Y; Cui Y; Li Q; Wang Y; Xu X; Tang C; Gan L; Yu S; Liu T
J Cell Physiol; 2020 Jul; 235(7-8):5777-5786. PubMed ID: 32048287
[TBL] [Abstract][Full Text] [Related]
15. Prognostic value of RNA methylation-related genes in gastric adenocarcinoma based on bioinformatics.
He X; Chen X; Yang C; Wang W; Sun H; Wang J; Fu J; Dong H
PeerJ; 2024; 12():e16951. PubMed ID: 38436027
[TBL] [Abstract][Full Text] [Related]
16. Prognosis analysis of necroptosis-related genes in colorectal cancer based on bioinformatic analysis.
Liang X; Cheng Z; Chen X; Li J
Front Genet; 2022; 13():955424. PubMed ID: 36046241
[No Abstract] [Full Text] [Related]
17. Identification of DNA methylation-driven genes and construction of a nomogram to predict overall survival in pancreatic cancer.
Deng GC; Sun DC; Zhou Q; Lv Y; Yan H; Han QL; Dai GH
BMC Genomics; 2021 Nov; 22(1):791. PubMed ID: 34732125
[TBL] [Abstract][Full Text] [Related]
18. Immune Landscape of Gastric Carcinoma Tumor Microenvironment Identifies a Peritoneal Relapse Relevant Immune Signature.
Zhang C; Li D; Yu R; Li C; Song Y; Chen X; Fan Y; Liu Y; Qu X
Front Immunol; 2021; 12():651033. PubMed ID: 34054812
[TBL] [Abstract][Full Text] [Related]
19. Identification and validation of a novel ferroptosis-related gene model for predicting the prognosis of gastric cancer patients.
Liu G; Ma JY; Hu G; Jin H
PLoS One; 2021; 16(7):e0254368. PubMed ID: 34252149
[TBL] [Abstract][Full Text] [Related]
20. Establishing a cancer driver gene signature-based risk model for predicting the prognoses of gastric cancer patients.
Chen J; Zhou C; Liu Y
Aging (Albany NY); 2022 Mar; 14(5):2383-2399. PubMed ID: 35288483
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
