315 related articles for article (PubMed ID: 31268166)
1. Integrating proteomics and transcriptomics for the identification of potential targets in early colorectal cancer.
Yang W; Shi J; Zhou Y; Liu T; Zhan F; Zhang K; Liu N
Int J Oncol; 2019 Aug; 55(2):439-450. PubMed ID: 31268166
[TBL] [Abstract][Full Text] [Related]
2. Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas.
Zhang Y; Luo J; Liu Z; Liu X; Ma Y; Zhang B; Chen Y; Li X; Feng Z; Yang N; Feng D; Wang L; Song X
Biosci Rep; 2021 Jul; 41(7):. PubMed ID: 34308980
[TBL] [Abstract][Full Text] [Related]
3. Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer.
Zhou H; Yang Z; Yue J; Chen Y; Chen T; Mu T; Liu H; Bi X
Mol Carcinog; 2020 Apr; 59(4):425-438. PubMed ID: 32064687
[TBL] [Abstract][Full Text] [Related]
4. Identification of a five-gene signature with prognostic value in colorectal cancer.
Sun G; Li Y; Peng Y; Lu D; Zhang F; Cui X; Zhang Q; Li Z
J Cell Physiol; 2019 Apr; 234(4):3829-3836. PubMed ID: 30132881
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Identification and clinicopathological analysis of potential p73-regulated biomarkers in colorectal cancer via integrative bioinformatics.
Bareja C; Dwivedi K; Uboveja A; Mathur A; Kumar N; Saluja D
Sci Rep; 2024 Apr; 14(1):9894. PubMed ID: 38688978
[TBL] [Abstract][Full Text] [Related]
7. A network-based predictive gene expression signature for recurrence risks in stage II colorectal cancer.
Yang WJ; Wang HB; Wang WD; Bai PY; Lu HX; Sun CH; Liu ZS; Guan DK; Yang GW; Zhang GL
Cancer Med; 2020 Jan; 9(1):179-193. PubMed ID: 31724326
[TBL] [Abstract][Full Text] [Related]
8. Prediction of Target Genes and Pathways Associated With Cetuximab Insensitivity in Colorectal Cancer.
Yu C; Hong H; Lu J; Zhao X; Hu W; Zhang S; Zong Y; Mao Z; Li J; Wang M; Feng B; Sun J; Zheng M
Technol Cancer Res Treat; 2018 Jan; 17():1533033818806905. PubMed ID: 30336768
[TBL] [Abstract][Full Text] [Related]
9. Identification of disrupted pathways in ulcerative colitis-related colorectal carcinoma by systematic tracking the dysregulated modules.
Wu D; Li Q; Song G; Lu J
J BUON; 2016; 21(2):366-74. PubMed ID: 27273946
[TBL] [Abstract][Full Text] [Related]
10. Screening for implicated genes in colorectal cancer using whole‑genome gene expression profiling.
Sun LC; Qian HX
Mol Med Rep; 2018 Jun; 17(6):8260-8268. PubMed ID: 29658574
[TBL] [Abstract][Full Text] [Related]
11. Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer.
Liu X; Bing Z; Wu J; Zhang J; Zhou W; Ni M; Meng Z; Liu S; Tian J; Zhang X; Li Y; Jia S; Guo S
Med Sci Monit; 2020 Jan; 26():e918906. PubMed ID: 31893510
[TBL] [Abstract][Full Text] [Related]
12. Delineating the underlying molecular mechanisms and key genes involved in metastasis of colorectal cancer via bioinformatics analysis.
Qi C; Chen Y; Zhou Y; Huang X; Li G; Zeng J; Ruan Z; Xie X; Zhang J
Oncol Rep; 2018 May; 39(5):2297-2305. PubMed ID: 29517105
[TBL] [Abstract][Full Text] [Related]
13. Association between PPP2CA expression and colorectal cancer prognosis tumor marker prognostic study.
Yong L; YuFeng Z; Guang B
Int J Surg; 2018 Nov; 59():80-89. PubMed ID: 30296597
[TBL] [Abstract][Full Text] [Related]
14. ETV4 plays a role on the primary events during the adenoma-adenocarcinoma progression in colorectal cancer.
Fonseca AS; Ramão A; Bürger MC; de Souza JES; Zanette DL; de Molfetta GA; de Araújo LF; de Barros E Lima Bueno R; Aguiar GM; Plaça JR; Alves CP; Dos Santos ARD; Vidal DO; Silva GEB; Panepucci RA; Peria FM; Feres O; da Rocha JJR; Zago MA; Silva WA
BMC Cancer; 2021 Mar; 21(1):207. PubMed ID: 33648461
[TBL] [Abstract][Full Text] [Related]
15. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
[TBL] [Abstract][Full Text] [Related]
16.
Yang Q; Qi M; Chen Y; Tian S; Liao F; Dong W
DNA Cell Biol; 2021 Jul; 40(7):921-935. PubMed ID: 34042518
[TBL] [Abstract][Full Text] [Related]
17. MiR-92a promotes tumorigenesis of colorectal cancer, a transcriptomic and functional based study.
Chen E; Li Q; Wang H; Yang F; Min L; Yang J
Biomed Pharmacother; 2018 Oct; 106():1370-1377. PubMed ID: 30119209
[TBL] [Abstract][Full Text] [Related]
18. Profiles of differentially expressed genes and overexpression of NEBL indicates a positive prognosis in patients with colorectal cancer.
Qiu X; Feng JR; Wang F; Chen PF; Chen XX; Zhou R; Chang Y; Liu J; Zhao Q
Mol Med Rep; 2018 Feb; 17(2):3028-3034. PubMed ID: 29257257
[TBL] [Abstract][Full Text] [Related]
19. Identification of Genes Related to Clinicopathological Characteristics and Prognosis of Patients with Colorectal Cancer.
Gao X; Yang J
DNA Cell Biol; 2020 Apr; 39(4):690-699. PubMed ID: 32027181
[TBL] [Abstract][Full Text] [Related]
20. High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers.
Yu J; Li X; Zhong C; Li D; Zhai X; Hu W; Guo C; Yuan Y; Zheng S
Oncotarget; 2016 Nov; 7(46):75279-75292. PubMed ID: 27661117
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
