143 related articles for article (PubMed ID: 35445138)
1. Bioinformatic Analysis of the Effect of Silver Nanoparticles on Colorectal Cancer Cell Line.
Martínez-Esquivias F; Gutiérrez-Angulo M; Becerra-Ruiz JS; Martinez-Perez LA; de la Cruz-Ahumada CJ; Guzmán-Flores JM
Biomed Res Int; 2022; 2022():6828837. PubMed ID: 35445138
[TBL] [Abstract][Full Text] [Related]
2. The possible role of SRMS in colorectal cancer by bioinformatics analysis.
Zhang J; Liu W; Feng S; Zhong B
World J Surg Oncol; 2021 Nov; 19(1):326. PubMed ID: 34781983
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatics Analysis of
Wu L; Tian X; Du H; Liu X; Wu H
Biomolecules; 2022 Aug; 12(8):. PubMed ID: 36008975
[TBL] [Abstract][Full Text] [Related]
4. Integrated Analysis of Expression and Prognostic Values of Acyl-CoA Dehydrogenase short-chain in Colorectal Cancer.
Wu Q; Yan T; Chen Y; Chang J; Jiang Y; Zhu D; Wei Y
Int J Med Sci; 2021; 18(16):3631-3643. PubMed ID: 34790035
[No Abstract] [Full Text] [Related]
5. Prognostic and Immunological Role of THBS2 in Colorectal cancer.
Deng B; Liu XP; Wang X
Biomed Res Int; 2021; 2021():1124985. PubMed ID: 34471634
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. 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]
10. Bioinformatic Identification of Hub Genes and Analysis of Prognostic Values in Colorectal Cancer.
Lei X; Jing J; Zhang M; Guan B; Dong Z; Wang C
Nutr Cancer; 2021; 73(11-12):2568-2578. PubMed ID: 33153324
[TBL] [Abstract][Full Text] [Related]
11. Novel diagnostic and prognostic biomarkers of colorectal cancer: Capable to overcome the heterogeneity-specific barrier and valid for global applications.
Hameed Y; Usman M; Liang S; Ejaz S
PLoS One; 2021; 16(9):e0256020. PubMed ID: 34473751
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatics analysis identified MMP14 and COL12A1 as immune-related biomarkers associated with pancreatic adenocarcinoma prognosis.
Li Y; Su Z; Wei B; Qin M; Liang Z
Math Biosci Eng; 2021 Jun; 18(5):5921-5942. PubMed ID: 34517516
[TBL] [Abstract][Full Text] [Related]
13. Colorectal Cancer-Associated Immune Exhaustion Involves T and B Lymphocytes and Conventional NK Cells and Correlates With a Shorter Overall Survival.
Sorrentino C; D'Antonio L; Fieni C; Ciummo SL; Di Carlo E
Front Immunol; 2021; 12():778329. PubMed ID: 34975867
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Identification of novel biomarkers and small molecule drugs in human colorectal cancer by microarray and bioinformatics analysis.
Chen J; Wang Z; Shen X; Cui X; Guo Y
Mol Genet Genomic Med; 2019 Jul; 7(7):e00713. PubMed ID: 31087508
[TBL] [Abstract][Full Text] [Related]
17. An integrated analysis of prognostic and immune infiltrates for hub genes as potential survival indicators in patients with lung adenocarcinoma.
Xu Z; Wang S; Ren Z; Gao X; Xu L; Zhang S; Ren B
World J Surg Oncol; 2022 Mar; 20(1):99. PubMed ID: 35354488
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Annona muricata silver nanoparticles exhibit strong anticancer activities against cervical and prostate adenocarcinomas through regulation of CASP9 and the CXCL1/CXCR2 genes axis.
Gavamukulya Y; Maina EN; El-Shemy HA; Meroka AM; Kangogo GK; Magoma G; Wamunyokoli F
Tumour Biol; 2021; 43(1):37-55. PubMed ID: 33935122
[TBL] [Abstract][Full Text] [Related]
20. Follistatin-Like 3 Correlates With Lymph Node Metastasis and Serves as a Biomarker of Extracellular Matrix Remodeling in Colorectal Cancer.
Yang C; Cao F; Huang S; Zheng Y
Front Immunol; 2021; 12():717505. PubMed ID: 34335633
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
