286 related articles for article (PubMed ID: 32782440)
1. Bioinformatics analysis combined with experiments to explore potential prognostic factors for pancreatic cancer.
Ke MJ; Ji LD; Li YX
Cancer Cell Int; 2020; 20():382. PubMed ID: 32782440
[TBL] [Abstract][Full Text] [Related]
2. Identification of key genes for esophageal squamous cell carcinoma via integrated bioinformatics analysis and experimental confirmation.
Hu J; Li R; Miao H; Wen Z
J Thorac Dis; 2020 Jun; 12(6):3188-3199. PubMed ID: 32642240
[TBL] [Abstract][Full Text] [Related]
3. Integrated bioinformatics analysis of potential biomarkers for pancreatic cancer.
Shi H; Xu H; Chai C; Qin Z; Zhou W
J Clin Lab Anal; 2022 May; 36(5):e24381. PubMed ID: 35403252
[TBL] [Abstract][Full Text] [Related]
4. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
[TBL] [Abstract][Full Text] [Related]
5. Centromere protein N may be a novel malignant prognostic biomarker for hepatocellular carcinoma.
Wang Q; Yu X; Zheng Z; Chen F; Yang N; Zhou Y
PeerJ; 2021; 9():e11342. PubMed ID: 33987018
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
7. Collagen family genes and related genes might be associated with prognosis of patients with gastric cancer: an integrated bioinformatics analysis and experimental validation.
Weng K; Huang Y; Deng H; Wang R; Luo S; Wu H; Chen J; Long M; Hao W
Transl Cancer Res; 2020 Oct; 9(10):6246-6262. PubMed ID: 35117235
[TBL] [Abstract][Full Text] [Related]
8. Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
Zheng MJ; Li X; Hu YX; Dong H; Gou R; Nie X; Liu Q; Ying-Ying H; Liu JJ; Lin B
J Cell Physiol; 2019 Jul; 234(7):11023-11036. PubMed ID: 30633343
[TBL] [Abstract][Full Text] [Related]
9. Analysis of the autophagy gene expression profile of pancreatic cancer based on autophagy-related protein microtubule-associated protein 1A/1B-light chain 3.
Yang YH; Zhang YX; Gui Y; Liu JB; Sun JJ; Fan H
World J Gastroenterol; 2019 May; 25(17):2086-2098. PubMed ID: 31114135
[TBL] [Abstract][Full Text] [Related]
10. Periostin is associated with prognosis and immune cell infiltration in pancreatic adenocarcinoma based on integrated bioinformatics analysis.
Chen Y; Zhang F; Zhang B; Trojanowicz B; Hämmerle M; Kleeff J; Sunami Y
Cancer Rep (Hoboken); 2024 Feb; 7(2):e1990. PubMed ID: 38389400
[TBL] [Abstract][Full Text] [Related]
11. Identification of critical genes in gastric cancer to predict prognosis using bioinformatics analysis methods.
Liu J; Ma L; Chen Z; Song Y; Gu T; Liu X; Zhao H; Yao N
Ann Transl Med; 2020 Jul; 8(14):884. PubMed ID: 32793728
[TBL] [Abstract][Full Text] [Related]
12. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of the Prognostic Value of STEAP1 in Lung Adenocarcinoma and Insights Into Its Potential Molecular Pathways via Bioinformatic Analysis.
Guo Q; Ke XX; Liu Z; Gao WL; Fang SX; Chen C; Song YX; Han H; Lu HL; Xu G
Front Genet; 2020; 11():242. PubMed ID: 32265985
[TBL] [Abstract][Full Text] [Related]
14. Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis.
Song Y; Liu X; Wang F; Wang X; Cheng G; Peng C
Front Genet; 2020; 11():530892. PubMed ID: 33061942
[TBL] [Abstract][Full Text] [Related]
15. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
16. Identification of differentially expressed genes regulated by methylation in colon cancer based on bioinformatics analysis.
Liang Y; Zhang C; Dai DQ
World J Gastroenterol; 2019 Jul; 25(26):3392-3407. PubMed ID: 31341364
[TBL] [Abstract][Full Text] [Related]
17. A comprehensive bioinformatics analysis to identify a candidate prognostic biomarker for ovarian cancer.
Zhu H; Yue H; Xie Y; Du Q; Chen B; Zhou Y; Liu W
Transl Cancer Res; 2021 Mar; 10(3):1537-1548. PubMed ID: 35116478
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.
Wu B; Xi S
BMC Cancer; 2021 Jun; 21(1):733. PubMed ID: 34174849
[TBL] [Abstract][Full Text] [Related]
19. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
20. Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis.
Shen J; Yu S; Sun X; Yin M; Fei J; Zhou J
J Ovarian Res; 2019 Nov; 12(1):110. PubMed ID: 31729978
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
