139 related articles for article (PubMed ID: 37954103)
1. Molecular mechanism of colorectal cancer and screening of molecular markers based on bioinformatics analysis.
Zhao J; Kuang D; Cheng X; Geng J; Huang Y; Zhao H; Yang Z
Open Life Sci; 2023; 18(1):20220687. PubMed ID: 37954103
[TBL] [Abstract][Full Text] [Related]
2. Identification of a five genes prognosis signature for triple-negative breast cancer using multi-omics methods and bioinformatics analysis.
Ma J; Chen C; Liu S; Ji J; Wu D; Huang P; Wei D; Fan Z; Ren L
Cancer Gene Ther; 2022 Nov; 29(11):1578-1589. PubMed ID: 35474355
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Identification of hub genes and outcome in colon cancer based on bioinformatics analysis.
Yang W; Ma J; Zhou W; Li Z; Zhou X; Cao B; Zhang Y; Liu J; Yang Z; Zhang H; Zhao Q; Hong L; Fan D
Cancer Manag Res; 2019; 11():323-338. PubMed ID: 30643458
[TBL] [Abstract][Full Text] [Related]
5. Complement C5 is a novel biomarker for liver metastasis of colorectal cancer.
Chang H; Jin L; Xie P; Zhang B; Yu M; Li H; Liu S; Yan J; Zhou B; Li X; Xu Y; Xiao Y; Ye Q; Guo L
J Gastrointest Oncol; 2022 Oct; 13(5):2351-2365. PubMed ID: 36388659
[TBL] [Abstract][Full Text] [Related]
6. Identifying
Ding J; Liu Y; Lai Y
PeerJ; 2020; 8():e10419. PubMed ID: 33282565
[TBL] [Abstract][Full Text] [Related]
7. High gene expression levels of VEGFA and CXCL8 in the peritumoral brain zone are associated with the recurrence of glioblastoma: A bioinformatics analysis.
Luo X; Xu S; Zhong Y; Tu T; Xu Y; Li X; Wang B; Yang F
Oncol Lett; 2019 Dec; 18(6):6171-6179. PubMed ID: 31788092
[TBL] [Abstract][Full Text] [Related]
8. Identification of prognostic risk factors for pancreatic cancer using bioinformatics analysis.
Jin D; Jiao Y; Ji J; Jiang W; Ni W; Wu Y; Ni R; Lu C; Qu L; Ni H; Liu J; Xu W; Xiao M
PeerJ; 2020; 8():e9301. PubMed ID: 32587798
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Screening and verifying key genes with poor prognosis in colon cancer through bioinformatics analysis.
Dong B; Chai M; Chen H; Feng Q; Jin R; Hu S
Transl Cancer Res; 2020 Nov; 9(11):6720-6732. PubMed ID: 35117282
[TBL] [Abstract][Full Text] [Related]
11. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
[TBL] [Abstract][Full Text] [Related]
12. Identification of four novel prognosis biomarkers and potential therapeutic drugs for human colorectal cancer by bioinformatics analysis.
Sun Z; Liu C; Cheng SY
J Biomed Res; 2020 Oct; 35(1):21-35. PubMed ID: 33361643
[TBL] [Abstract][Full Text] [Related]
13. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
Zhou R; Liu D; Zhu J; Zhang T
Medicine (Baltimore); 2020 Oct; 99(42):e22434. PubMed ID: 33080677
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Investigating potential molecular mechanisms of serum exosomal miRNAs in colorectal cancer based on bioinformatics analysis.
Wang H; Chen X; Bao L; Zhang X
Medicine (Baltimore); 2020 Sep; 99(37):e22199. PubMed ID: 32925795
[TBL] [Abstract][Full Text] [Related]
16. Identification of hub genes associated with outcome of clear cell renal cell carcinoma.
Li R; Wang L; Wang X; Geng RX; Li N; Liu XH
Oncol Lett; 2020 Apr; 19(4):2846-2860. PubMed ID: 32218839
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. The identification of a common different gene expression signature in patients with colorectal cancer.
Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]