115 related articles for article (PubMed ID: 34814249)
1. Contribution of endothelial cell-derived transcriptomes to the colon cancer based on bioinformatics analysis.
Wang J; Uddin MN; Akter R; Wu Y
Math Biosci Eng; 2021 Aug; 18(6):7280-7300. PubMed ID: 34814249
[TBL] [Abstract][Full Text] [Related]
2. Identification of Transcriptional Markers and microRNA-mRNA Regulatory Networks in Colon Cancer by Integrative Analysis of mRNA and microRNA Expression Profiles in Colon Tumor Stroma.
Uddin MN; Li M; Wang X
Cells; 2019 Sep; 8(9):. PubMed ID: 31500382
[TBL] [Abstract][Full Text] [Related]
3. Cancer-Associated Stromal Fibroblast-Derived Transcriptomes Predict Poor Clinical Outcomes and Immunosuppression in Colon Cancer.
Wang J; Akter R; Shahriar MF; Uddin MN
Pathol Oncol Res; 2022; 28():1610350. PubMed ID: 35991839
[No Abstract] [Full Text] [Related]
4. Meta-analysis identifying epithelial-derived transcriptomes predicts poor clinical outcome and immune infiltrations in ovarian cancer.
Li DF; Tulahong A; Uddin MN; Zhao H; Zhang H
Math Biosci Eng; 2021 Jul; 18(5):6527-6551. PubMed ID: 34517544
[TBL] [Abstract][Full Text] [Related]
5. Key Genes Associated with Prognosis and Tumor Infiltrating Immune Cells in Gastric Cancer Patients Identified by Cross-Database Analysis.
Zhang T; Wang BF; Wang XY; Xiang L; Zheng P; Li HY; Tao PX; Wang DF; Gu BH; Chen H
Cancer Biother Radiopharm; 2020 Nov; 35(9):696-710. PubMed ID: 32401038
[No Abstract] [Full Text] [Related]
6. A comprehensive analysis of tumor microenvironment-related genes in colon cancer.
Luo R; Guo W; Wang H
Clin Transl Oncol; 2021 Sep; 23(9):1769-1781. PubMed ID: 33689097
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
Li D; Yin Y; He M; Wang J
Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
[TBL] [Abstract][Full Text] [Related]
9. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
10. Identification of Immune Infiltration in Odontogenic Keratocyst by Integrated Bioinformatics Analysis.
Zhong NN; Li SR; Man QW; Liu B
BMC Oral Health; 2023 Jul; 23(1):454. PubMed ID: 37415178
[TBL] [Abstract][Full Text] [Related]
11. Prognostic value of tumour microenvironment-related genes by TCGA database in rectal cancer.
Li C; Liu T; Liu Y; Zhang J; Zuo D
J Cell Mol Med; 2021 Jun; 25(12):5811-5822. PubMed ID: 33949771
[TBL] [Abstract][Full Text] [Related]
12. Identification and characterization of prognosis-related genes in the tumor microenvironment of esophageal squamous cell carcinoma.
Qu J; Zhao Q; Yang L; Ping Y; Zhang K; Lei Q; Liu F; Zhang Y
Int Immunopharmacol; 2021 Jul; 96():107616. PubMed ID: 34162127
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Identification of Key Genes in Thyroid Cancer Microenvironment.
Zhao K; Yang H; Kang H; Wu A
Med Sci Monit; 2019 Dec; 25():9602-9608. PubMed ID: 31839674
[TBL] [Abstract][Full Text] [Related]
15. Comprehensive analysis of location-specific hub genes related to the pathogenesis of colon cancer.
Shi C; Ding K; Li KZ; Long L; Li JL; Hu BL
Med Oncol; 2020 Aug; 37(9):77. PubMed ID: 32743717
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Identification of Potential Hub Genes and Signal Pathways Promoting the Distinct Biological Features of Cord Blood-Derived Endothelial Progenitor Cells Via Bioinformatics.
Wang Q; Chen S; Wu J; Liu D; Jiang N; Wang B; Zhai J; Liu Z
Genet Test Mol Biomarkers; 2020 Sep; 24(9):549-561. PubMed ID: 32744910
[No Abstract] [Full Text] [Related]
19. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
Zhang L; Sun L; Zhang B; Chen L
Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatics Analysis of Key Genes and circRNA-miRNA-mRNA Regulatory Network in Gastric Cancer.
Tian Y; Xing Y; Zhang Z; Peng R; Zhang L; Sun Y
Biomed Res Int; 2020; 2020():2862701. PubMed ID: 32908877
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]