221 related articles for article (PubMed ID: 32355273)
1. Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics.
Yu S; Wu Y; Li C; Qu Z; Lou G; Guo X; Ji J; Li N; Guo M; Zhang M; Lei L; Tai S
Sci Rep; 2020 Apr; 10(1):7315. PubMed ID: 32355273
[TBL] [Abstract][Full Text] [Related]
2. The Expression and Survival Significance of Glucose Transporter-1 in Pancreatic Cancer: Meta-Analysis, Bioinformatics Analysis and Retrospective Study.
Du J; Gu J; Deng J; Kong L; Guo Y; Jin C; Bao Y; Fu D; Li J
Cancer Invest; 2021 Oct; 39(9):741-755. PubMed ID: 34229540
[TBL] [Abstract][Full Text] [Related]
3. An Integrated Microarray Analysis Reveals Significant Diagnostic and Prognostic Biomarkers in Pancreatic Cancer.
Yang ZQ; Liu YJ; Zhou XL
Med Sci Monit; 2020 Apr; 26():e921769. PubMed ID: 32235821
[TBL] [Abstract][Full Text] [Related]
4. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
5. Potential role of microRNA‑223‑3p in the tumorigenesis of hepatocellular carcinoma: A comprehensive study based on data mining and bioinformatics.
Zhang R; Zhang LJ; Yang ML; Huang LS; Chen G; Feng ZB
Mol Med Rep; 2018 Feb; 17(2):2211-2228. PubMed ID: 29207133
[TBL] [Abstract][Full Text] [Related]
6. Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics.
Yu S; Jiang X; Li J; Li C; Guo M; Ye F; Zhang M; Jiao Y; Guo B
Sci Rep; 2019 Mar; 9(1):4467. PubMed ID: 30872657
[TBL] [Abstract][Full Text] [Related]
7. Overexpression of Cell-Surface Marker SLC16A1 Shortened Survival in Human High-Grade Gliomas.
Lin HH; Tsai WC; Tsai CK; Chen SH; Huang LC; Hueng DY; Hung KC
J Mol Neurosci; 2021 Aug; 71(8):1614-1621. PubMed ID: 33641091
[TBL] [Abstract][Full Text] [Related]
8. Identification of candidate diagnostic and prognostic biomarkers for pancreatic carcinoma.
Cheng Y; Wang K; Geng L; Sun J; Xu W; Liu D; Gong S; Zhu Y
EBioMedicine; 2019 Feb; 40():382-393. PubMed ID: 30639415
[TBL] [Abstract][Full Text] [Related]
9. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatics analysis and experimental validation of TTK as a biomarker for prognosis in non-small cell lung cancer.
Chen J; Wu R; Xuan Y; Jiang M; Zeng Y
Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 32969465
[TBL] [Abstract][Full Text] [Related]
11. Diagnostic and prognostic value of
Wang MQ; Yin QY; Chen YR; Zhu SL
Future Oncol; 2021 Dec; 17(35):4907-4923. PubMed ID: 34751593
[TBL] [Abstract][Full Text] [Related]
12. Identification of a histone family gene signature for predicting the prognosis of cervical cancer patients.
Li X; Tian R; Gao H; Yang Y; Williams BRG; Gantier MP; McMillan NAJ; Xu D; Hu Y; Gao Y
Sci Rep; 2017 Nov; 7(1):16495. PubMed ID: 29184082
[TBL] [Abstract][Full Text] [Related]
13. Comprehensive Analysis of Immunoinhibitors Identifies LGALS9 and TGFBR1 as Potential Prognostic Biomarkers for Pancreatic Cancer.
Fan Y; Li T; Xu L; Kuang T
Comput Math Methods Med; 2020; 2020():6138039. PubMed ID: 33062039
[TBL] [Abstract][Full Text] [Related]
14. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
Yi L; Luo P; Zhang J
J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
[TBL] [Abstract][Full Text] [Related]
15. Identification of a 5‑microRNA signature and hub miRNA‑mRNA interactions associated with pancreatic cancer.
Ma X; Tao R; Li L; Chen H; Liu Z; Bai J; Shuai X; Wu C; Tao K
Oncol Rep; 2019 Jan; 41(1):292-300. PubMed ID: 30365134
[TBL] [Abstract][Full Text] [Related]
16. Identification of hub genes with diagnostic values in pancreatic cancer by bioinformatics analyses and supervised learning methods.
Li C; Zeng X; Yu H; Gu Y; Zhang W
World J Surg Oncol; 2018 Nov; 16(1):223. PubMed ID: 30428899
[TBL] [Abstract][Full Text] [Related]
17. Integrated analysis highlights multiple long non‑coding RNAs and their potential roles in the progression of human esophageal squamous cell carcinoma.
Li CY; Zhang WW; Xiang JL; Wang XH; Wang JL; Li J
Oncol Rep; 2019 Dec; 42(6):2583-2599. PubMed ID: 31638253
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
Li H; Liu JW; Liu S; Yuan Y; Sun LP
Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
[TBL] [Abstract][Full Text] [Related]
20. Identification of differentially expressed genes in pancreatic ductal adenocarcinoma and normal pancreatic tissues based on microarray datasets.
Liu L; Wang S; Cen C; Peng S; Chen Y; Li X; Diao N; Li Q; Ma L; Han P
Mol Med Rep; 2019 Aug; 20(2):1901-1914. PubMed ID: 31257501
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]