229 related articles for article (PubMed ID: 29436659)
1. Cholangiocarcinoma‑associated genes identified by integrative analysis of gene expression data.
Zhong W; Dai L; Liu J; Zhou S
Mol Med Rep; 2018 Apr; 17(4):5744-5753. PubMed ID: 29436659
[TBL] [Abstract][Full Text] [Related]
2. Transcriptomic analysis and identification of prognostic biomarkers in cholangiocarcinoma.
Li H; Long J; Xie F; Kang K; Shi Y; Xu W; Wu X; Lin J; Xu H; Du S; Xu Y; Zhao H; Zheng Y; Gu J
Oncol Rep; 2019 Nov; 42(5):1833-1842. PubMed ID: 31545466
[TBL] [Abstract][Full Text] [Related]
3. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
Qin X; Song Y
Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
[TBL] [Abstract][Full Text] [Related]
5. Screening of potential biomarkers for cholangiocarcinoma by integrated analysis of microarray data sets.
Huang QX; Cui JY; Ma H; Jia XM; Huang FL; Jiang LX
Cancer Gene Ther; 2016; 23(2-3):48-53. PubMed ID: 26679756
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
7. Identification of transcription factors (TFs) and targets involved in the cholangiocarcinoma (CCA) by integrated analysis.
Yang L; Feng S; Yang Y
Cancer Gene Ther; 2016 Dec; 23(12):439-445. PubMed ID: 27857060
[TBL] [Abstract][Full Text] [Related]
8. Identification of hub genes and pathways in cholangiocarcinoma by coexpression analysis.
Kong J; Shen S; Zhang Z; Wang W
Cancer Biomark; 2020; 27(4):505-517. PubMed ID: 32116234
[TBL] [Abstract][Full Text] [Related]
9. Identification of biomarkers of intrahepatic cholangiocarcinoma via integrated analysis of mRNA and miRNA microarray data.
Chen Y; Liu D; Liu P; Chen Y; Yu H; Zhang Q
Mol Med Rep; 2017 Mar; 15(3):1051-1056. PubMed ID: 28098904
[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. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
13. Upregulation of miR‑132‑3p in cholangiocarcinoma tissues: A study based on RT‑qPCR, The Cancer Genome Atlas miRNA sequencing, Gene Expression Omnibus microarray data and bioinformatics analyses.
Wu HY; Xia S; Liu AG; Wei MD; Chen ZB; Li YX; He Y; Liao MJ; Hu QP; Pan SL
Mol Med Rep; 2019 Dec; 20(6):5002-5020. PubMed ID: 31638221
[TBL] [Abstract][Full Text] [Related]
14. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A2M is a potential core gene in intrahepatic cholangiocarcinoma.
Zhang G; Liu X; Sun Z; Feng X; Wang H; Hao J; Zhang X
BMC Cancer; 2022 Jan; 22(1):5. PubMed ID: 34979994
[TBL] [Abstract][Full Text] [Related]
17. Survival analysis of genome-wide profiles coupled with Connectivity Map database mining to identify potential therapeutic targets for cholangiocarcinoma.
Lin P; Zhong XZ; Wang XD; Li JJ; Zhao RQ; He Y; Jiang YQ; Huang XW; Chen G; He Y; Yang H
Oncol Rep; 2018 Dec; 40(6):3189-3198. PubMed ID: 30272356
[TBL] [Abstract][Full Text] [Related]
18. Meta-analysis of gene expression profiles identifies differential biomarkers for hepatocellular carcinoma and cholangiocarcinoma.
Likhitrattanapisal S; Tipanee J; Janvilisri T
Tumour Biol; 2016 Sep; 37(9):12755-12766. PubMed ID: 27448818
[TBL] [Abstract][Full Text] [Related]
19. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
20. Expressional and prognostic value of HPCAL1 in cholangiocarcinoma via integrated bioinformatics analyses and experiments.
Ma M; Zeng G; Li J; Liang J; Huang L; Chen J; Lai J
Cancer Med; 2023 Jan; 12(1):824-836. PubMed ID: 35645147
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
