114 related articles for article (PubMed ID: 36031809)
1. Bioinformatics analysis on differentially expressed genes between colorectal adenoma and colorectal adenocarcinoma.
Ding N; Luo H; Peng T; Zhang T; Li M; Deng Y; He Y
Scott Med J; 2022 Nov; 67(4):178-188. PubMed ID: 36031809
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
[TBL] [Abstract][Full Text] [Related]
4. Identification of Key Prognostic Biomarker and Its Correlation with Immune Infiltrates in Pancreatic Ductal Adenocarcinoma.
Luan H; Zhang C; Zhang T; He Y; Su Y; Zhou L
Dis Markers; 2020; 2020():8825997. PubMed ID: 32934754
[TBL] [Abstract][Full Text] [Related]
5. Identification of hub genes and construction of transcriptional regulatory network for the progression of colon adenocarcinoma hub genes and TF regulatory network of colon adenocarcinoma.
Wei S; Chen J; Huang Y; Sun Q; Wang H; Liang X; Hu Z; Li X
J Cell Physiol; 2020 Mar; 235(3):2037-2048. PubMed ID: 31612481
[TBL] [Abstract][Full Text] [Related]
6. Screening and validating the core biomarkers in patients with pancreatic ductal adenocarcinoma.
Li Y; Zhu YY; Dai GP; Wu DJ; Gao ZZ; Zhang L; Fan YH
Math Biosci Eng; 2019 Nov; 17(1):910-927. PubMed ID: 31731384
[TBL] [Abstract][Full Text] [Related]
7. Identification of gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis.
Wang H; Liu J; Li J; Zang D; Wang X; Chen Y; Gu T; Su W; Song N
Cancer Genet; 2020 Apr; 242():1-7. PubMed ID: 32036224
[TBL] [Abstract][Full Text] [Related]
8. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
[TBL] [Abstract][Full Text] [Related]
9. Identification and clinical validation of key genes as the potential biomarkers in colorectal adenoma.
Wang B; Zhang J; Wang X; Zhao L; Wang Y; Fan Z; Liu L; Gao W
BMC Cancer; 2023 Jan; 23(1):39. PubMed ID: 36631756
[TBL] [Abstract][Full Text] [Related]
10. Identification and verification of three key genes associated with survival and prognosis of COAD patients via integrated bioinformatics analysis.
Liu Y; Li C; Dong L; Chen X; Fan R
Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32936304
[TBL] [Abstract][Full Text] [Related]
11. Screening the Biomarkers and Related Medicines for Gastric Adenocarcinoma.
Lin J; Xu N; An W
J Coll Physicians Surg Pak; 2024 Mar; 34(3):290-295. PubMed ID: 38462863
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Clinicopathological and prognostic values of MET expression in pancreatic adenocarcinoma based on bioinformatics analysis.
Yao Y; Zhan R; Gong C; Lv J; Lu X
Medicine (Baltimore); 2023 Oct; 102(41):e34656. PubMed ID: 37832054
[TBL] [Abstract][Full Text] [Related]
14. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
Li J; Liu X; Cui Z; Han G
Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Analysis of potential genes and pathways associated with the colorectal normal mucosa-adenoma-carcinoma sequence.
Wu Z; Liu Z; Ge W; Shou J; You L; Pan H; Han W
Cancer Med; 2018 Jun; 7(6):2555-2566. PubMed ID: 29659199
[TBL] [Abstract][Full Text] [Related]
18. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
19. Identification of candidate biomarkers and therapeutic drugs of colorectal cancer by integrated bioinformatics analysis.
Zheng Z; Xie J; Xiong L; Gao M; Qin L; Dai C; Liang Z; Wang Y; Xue J; Wang Q; Wang W; Li X
Med Oncol; 2020 Oct; 37(11):104. PubMed ID: 33078282
[TBL] [Abstract][Full Text] [Related]
20. Identification of lung adenocarcinoma biomarkers based on bioinformatic analysis and human samples.
Dong S; Men W; Yang S; Xu S
Oncol Rep; 2020 May; 43(5):1437-1450. PubMed ID: 32323809
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
