172 related articles for article (PubMed ID: 36092336)
1. Identification of candidate biomarkers associated with gastric cancer prognosis based on an integrated bioinformatics analysis.
Liu Y; Wang DX; Wan XJ; Meng XH
J Gastrointest Oncol; 2022 Aug; 13(4):1690-1700. PubMed ID: 36092336
[TBL] [Abstract][Full Text] [Related]
2. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
[TBL] [Abstract][Full Text] [Related]
3. Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.
Yin LK; Yuan HY; Liu JJ; Xu XL; Wang W; Bai XY; Wang P
World J Clin Cases; 2023 Jul; 11(20):4763-4787. PubMed ID: 37584004
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Bioinformatics Analysis of Hub Genes and Potential Therapeutic Agents Associated with Gastric Cancer.
Zhang S; Xiang X; Liu L; Yang H; Cen D; Tang G
Cancer Manag Res; 2021; 13():8929-8951. PubMed ID: 34876855
[TBL] [Abstract][Full Text] [Related]
6. Identification of key biomarkers and potential signaling pathway associated with poor progression of gastric cancer.
Hu Y; Hu Z; Ding H; Li Y; Zhao X; Shao M; Pan Y
Transl Cancer Res; 2020 Sep; 9(9):5459-5472. PubMed ID: 35117911
[TBL] [Abstract][Full Text] [Related]
7. [Screening of differentially expressed genes in gastric cancer based on GEO database and function and pathway enrichment analysis].
Liang Y; Lai Y; Yuan Y; Yuan W; Zhang X; Zhang B; Lu Z
Nan Fang Yi Ke Da Xue Xue Bao; 2024 Mar; 44(3):605-616. PubMed ID: 38597453
[TBL] [Abstract][Full Text] [Related]
8.
Yan P; He Y; Xie K; Kong S; Zhao W
PeerJ; 2018; 6():e6092. PubMed ID: 30568862
[TBL] [Abstract][Full Text] [Related]
9. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
10. A panel of collagen genes are associated with prognosis of patients with gastric cancer and regulated by microRNA-29c-3p: an integrated bioinformatics analysis and experimental validation.
Zhang QN; Zhu HL; Xia MT; Liao J; Huang XT; Xiao JW; Yuan C
Cancer Manag Res; 2019; 11():4757-4772. PubMed ID: 31213898
[No Abstract] [Full Text] [Related]
11. Identification of potential core genes in gastric cancer using bioinformatics analysis.
Shao C; Wang R; Kong D; Gao Q; Xu C
J Gastrointest Oncol; 2021 Oct; 12(5):2109-2122. PubMed ID: 34790378
[TBL] [Abstract][Full Text] [Related]
12. Identification of Potential Core Genes Associated With the Progression of Stomach Adenocarcinoma Using Bioinformatic Analysis.
Yang B; Zhang M; Luo T
Front Genet; 2020; 11():517362. PubMed ID: 33193601
[TBL] [Abstract][Full Text] [Related]
13. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
14. Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis.
Cao L; Chen Y; Zhang M; Xu DQ; Liu Y; Liu T; Liu SX; Wang P
PeerJ; 2018; 6():e5180. PubMed ID: 30002985
[TBL] [Abstract][Full Text] [Related]
15. Exploration of estrogen receptor-associated hub genes and potential molecular mechanisms in non-smoking females with lung adenocarcinoma using integrated bioinformatics analysis.
Wang H; Zhang Z; Xu K; Wei S; Li L; Wang L
Oncol Lett; 2019 Nov; 18(5):4605-4612. PubMed ID: 31611968
[TBL] [Abstract][Full Text] [Related]
16. Identifying multiple collagen gene family members as potential gastric cancer biomarkers using integrated bioinformatics analysis.
Li Z; Liu Z; Shao Z; Li C; Li Y; Liu Q; Zhang Y; Tan B; Liu Y
PeerJ; 2020; 8():e9123. PubMed ID: 32509452
[TBL] [Abstract][Full Text] [Related]
17. Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics.
Li M; Wang X; Liu J; Mao X; Li D; Wang Z; Tang Y; Wu S
Biomed Res Int; 2020; 2020():8859826. PubMed ID: 33381592
[TBL] [Abstract][Full Text] [Related]
18. Could CTSK and COL4A2 be specific biomarkers of poor prognosis for patients with gastric cancer in Asia?-a microarray analysis based on regional population.
Feng Z; Qiao R; Ren Z; Hou X; Feng J; He X; Chen D
J Gastrointest Oncol; 2020 Apr; 11(2):386-401. PubMed ID: 32399279
[TBL] [Abstract][Full Text] [Related]
19. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
[TBL] [Abstract][Full Text] [Related]
20. Comprehensive Analysis of a circRNA-miRNA-mRNA Network to Reveal Potential Inflammation-Related Targets for Gastric Adenocarcinoma.
Liu Y; Xu Y; Xiao F; Zhang J; Wang Y; Yao Y; Yang J
Mediators Inflamm; 2020; 2020():9435608. PubMed ID: 32801999
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
