120 related articles for article (PubMed ID: 38546071)
1. Identification of Hub Genes and Potential Pathogenesis in Gastric Cancer Based on Integrated Gene Expression Profile Analysis.
Luu Truong Thanh H; Hoang TM; Hoang Van H
Asian Pac J Cancer Prev; 2024 Mar; 25(3):885-892. PubMed ID: 38546071
[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 Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
Li D; Yin Y; He M; Wang J
Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
[TBL] [Abstract][Full Text] [Related]
4. Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis.
Abdolahi F; Shahraki A; Sheervalilou R; Mortazavi SS
BMC Med Genomics; 2023 Dec; 16(1):311. PubMed ID: 38041130
[TBL] [Abstract][Full Text] [Related]
5. [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]
6. The Analysis of Potential Diagnostic and Therapeutic Targets for the Occurrence and Development of Gastric Cancer Based on Bioinformatics.
Ding C; Zhang Q; Jiang X; Wei D; Xu S; Li Q; Wu M; Wang H
Comput Math Methods Med; 2022; 2022():4321466. PubMed ID: 35756405
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
11. Identification of Hub Genes Associated with Tumor-Infiltrating Immune Cells and ECM Dynamics as the Potential Therapeutic Targets in Gastric Cancer through an Integrated Bioinformatic Analysis and Machine Learning Methods.
Liu J; Cheng Z
Comb Chem High Throughput Screen; 2023; 26(4):653-667. PubMed ID: 35996248
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Hub genes and pathways in gastric cancer: A comparison between studies that used normal tissues adjacent to the tumour and studies that used healthy tissues as calibrator.
Sadegh K; Ahmadi A
IET Syst Biol; 2023 Jun; 17(3):131-141. PubMed ID: 37118990
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Identification of significant genes associated with prognosis of gastric cancer by bioinformatics analysis.
Wang S; Tao S; Liu Y; Shi Y; Liu M
J Egypt Natl Canc Inst; 2022 Dec; 34(1):55. PubMed ID: 36567425
[TBL] [Abstract][Full Text] [Related]
17. Identification of Hub Genes and Pathways in Gastric Adenocarcinoma Based on Bioinformatics Analysis.
Qiu J; Sun M; Wang Y; Chen B
Med Sci Monit; 2020 Feb; 26():e920261. PubMed ID: 32058995
[TBL] [Abstract][Full Text] [Related]
18. Screening key genes and biomarkers in gastrointestinal metaplasia that progress to gastric cancer by integrated bioinformatics analysis.
Pang L; Yan X; Su D
J Physiol Pharmacol; 2021 Dec; 72(6):. PubMed ID: 35485356
[TBL] [Abstract][Full Text] [Related]
19. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
Yang Q; Li K; Li X; Liu J
Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
[No Abstract] [Full Text] [Related]
20. Identification of significant biomarkers and pathways associated with gastric carcinogenesis by whole genome-wide expression profiling analysis.
Fei HJ; Chen SC; Zhang JY; Li SY; Zhang LL; Chen YY; Chang CX; Xu CM
Int J Oncol; 2018 Mar; 52(3):955-966. PubMed ID: 29328368
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]