652 related articles for article (PubMed ID: 30639415)
1. 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]
2. 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]
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. Identifying and Validating an Acidosis-Related Signature Associated with Prognosis and Tumor Immune Infiltration Characteristics in Pancreatic Carcinoma.
Tang P; Qu W; Wu D; Chen S; Liu M; Chen W; Ai Q; Tang H; Zhou H
J Immunol Res; 2021; 2021():3821055. PubMed ID: 34993253
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of CXCL13 as a potential biomarker in clear cell renal cell carcinoma via comprehensive bioinformatics analysis.
Xu T; Ruan H; Song Z; Cao Q; Wang K; Bao L; Liu D; Tong J; Yang H; Chen K; Zhang X
Biomed Pharmacother; 2019 Oct; 118():109264. PubMed ID: 31390578
[TBL] [Abstract][Full Text] [Related]
9. Bioinformatic Analysis Suggests That Three Hub Genes May Be a Vital Prognostic Biomarker in Pancreatic Ductal Adenocarcinoma.
Chang X; Yang MF; Fan W; Wang LS; Yao J; Li ZS; Li DF
J Comput Biol; 2020 Nov; 27(11):1595-1609. PubMed ID: 32216644
[TBL] [Abstract][Full Text] [Related]
10. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
11. Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinoma.
Yang Z; Liang X; Fu Y; Liu Y; Zheng L; Liu F; Li T; Yin X; Qiao X; Xu X
EBioMedicine; 2019 Sep; 47():44-57. PubMed ID: 31409573
[TBL] [Abstract][Full Text] [Related]
12. Identification of hub genes and analysis of prognostic values in pancreatic ductal adenocarcinoma by integrated bioinformatics methods.
Lu Y; Li C; Chen H; Zhong W
Mol Biol Rep; 2018 Dec; 45(6):1799-1807. PubMed ID: 30173393
[TBL] [Abstract][Full Text] [Related]
13.
Deng Y; Ma H; Hao J; Xie Q; Zhao R
Biomed Res Int; 2020; 2020():8604340. PubMed ID: 32420375
[TBL] [Abstract][Full Text] [Related]
14. Identification of Candidate Therapeutic Target Genes and Profiling of Tumor-Infiltrating Immune Cells in Pancreatic Cancer via Integrated Transcriptomic Analysis.
Ding W; Wang Y; Ma Y; Lin L; Li M
Dis Markers; 2022; 2022():3839480. PubMed ID: 36061357
[TBL] [Abstract][Full Text] [Related]
15. Machine learning identifies SLC6A14 as a novel biomarker promoting the proliferation and metastasis of pancreatic cancer via Wnt/β-catenin signaling.
Dang C; Bian Q; Wang F; Wang H; Liang Z
Sci Rep; 2024 Jan; 14(1):2116. PubMed ID: 38267509
[TBL] [Abstract][Full Text] [Related]
16. Construction of a prognostic prediction system for pancreatic ductal adenocarcinoma to investigate the key prognostic genes.
Zheng B; Peng J; Mollayup A; Bakri A; Guo L; Zheng J; Xu H
Mol Med Rep; 2018 Jan; 17(1):216-224. PubMed ID: 29115420
[TBL] [Abstract][Full Text] [Related]
17. Integrated Analysis of Multi-Omics Data to Identify Prognostic Genes for Pancreatic Cancer.
Jiang F; Huang X; Zhang F; Pan J; Wang J; Hu L; Chen J; Wang Y
DNA Cell Biol; 2022 Mar; 41(3):305-318. PubMed ID: 35104421
[TBL] [Abstract][Full Text] [Related]
18. LOX and ACSL5 as potential relapse markers for pancreatic cancer patients.
Ma W; Li T; Wu S; Li J; Wang X; Li H
Cancer Biol Ther; 2019; 20(6):787-798. PubMed ID: 30712446
[TBL] [Abstract][Full Text] [Related]
19. Plasma miRNAs in diagnosis and prognosis of pancreatic cancer: A miRNA expression analysis.
Zhou X; Lu Z; Wang T; Huang Z; Zhu W; Miao Y
Gene; 2018 Oct; 673():181-193. PubMed ID: 29913239
[TBL] [Abstract][Full Text] [Related]
20. Screening and Validation of Independent Predictors of Poor Survival in Pancreatic Cancer.
Liu S; Cai Y; Changyong E; Sheng J; Zhang X
Pathol Oncol Res; 2021; 27():1609868. PubMed ID: 34321959
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
