153 related articles for article (PubMed ID: 33402836)
1. Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer.
Chen H; Wang X; Jia H; Tao Y; Zhou H; Wang M; Wang X; Fang X
Onco Targets Ther; 2020; 13():13275-13283. PubMed ID: 33402836
[TBL] [Abstract][Full Text] [Related]
2. Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation Studies.
Xue H; Sun Z; Wu W; Du D; Liao S
Cancer Manag Res; 2021; 13():117-131. PubMed ID: 33447084
[TBL] [Abstract][Full Text] [Related]
3. Interactive bioinformatics analysis for the screening of hub genes and molecular docking of phytochemicals present in kitchen spices to inhibit CDK1 in cervical cancer.
Vaghasia H; Sakaria S; Prajapati J; Saraf M; Rawal RM
Comput Biol Med; 2022 Oct; 149():105994. PubMed ID: 36103746
[TBL] [Abstract][Full Text] [Related]
4. PCNA in Cervical Intraepithelial Neoplasia and Cervical Cancer: An Interaction Network Analysis of Differentially Expressed Genes.
Giannos P; Kechagias KS; Bowden S; Tabassum N; Paraskevaidi M; Kyrgiou M
Front Oncol; 2021; 11():779042. PubMed ID: 34900731
[TBL] [Abstract][Full Text] [Related]
5. Screening of cervical cancer-related hub genes based on comprehensive bioinformatics analysis.
Tu S; Zhang H; Yang X; Wen W; Song K; Yu X; Qu X
Cancer Biomark; 2021; 32(3):303-315. PubMed ID: 34151839
[TBL] [Abstract][Full Text] [Related]
6. Identification of candidate biomarkers correlated with the diagnosis and prognosis of cervical cancer via integrated bioinformatics analysis.
Dai F; Chen G; Wang Y; Zhang L; Long Y; Yuan M; Yang D; Liu S; Cheng Y; Zhang L
Onco Targets Ther; 2019; 12():4517-4532. PubMed ID: 31354287
[No Abstract] [Full Text] [Related]
7. Identification of druggable hub genes and key pathways associated with cervical cancer by protein-protein interaction analysis: An in silico study.
Asadzadeh A; Ghorbani N; Dastan K
Int J Reprod Biomed; 2023 Oct; 21(10):809-818. PubMed ID: 38077941
[TBL] [Abstract][Full Text] [Related]
8. Identification of Core Prognosis-Related Candidate Genes in Cervical Cancer via Integrated Bioinformatical Analysis.
Wei J; Wang Y; Shi K; Wang Y
Biomed Res Int; 2020; 2020():8959210. PubMed ID: 32258155
[TBL] [Abstract][Full Text] [Related]
9. Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.
Wu B; Xi S
BMC Cancer; 2021 Jun; 21(1):733. PubMed ID: 34174849
[TBL] [Abstract][Full Text] [Related]
10. Identification of key genes and pathways of diagnosis and prognosis in cervical cancer by bioinformatics analysis.
Yang HJ; Xue JM; Li J; Wan LH; Zhu YX
Mol Genet Genomic Med; 2020 Jun; 8(6):e1200. PubMed ID: 32181600
[TBL] [Abstract][Full Text] [Related]
11. A Novel Four-Gene Prognostic Signature as a Risk Biomarker in Cervical Cancer.
Wang J; Zheng H; Han Y; Wang G; Li Y
Int J Genomics; 2020; 2020():4535820. PubMed ID: 33381538
[TBL] [Abstract][Full Text] [Related]
12. Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis.
Xu Z; Zhou Y; Shi F; Cao Y; Dinh TLA; Wan J; Zhao M
Oncol Lett; 2017 Apr; 13(4):2784-2790. PubMed ID: 28454467
[TBL] [Abstract][Full Text] [Related]
13. Novel biomarkers of inflammation-associated immunity in cervical cancer.
Zhao W; Li Q; Wen S; Li Y; Bai Y; Tian Z
Front Oncol; 2024; 14():1351736. PubMed ID: 38532933
[TBL] [Abstract][Full Text] [Related]
14. Identification of Tissue-Specific Expressed Hub Genes and Potential Drugs in Rheumatoid Arthritis Using Bioinformatics Analysis.
Xing X; Xia Q; Gong B; Shen Z; Zhang Y
Front Genet; 2022; 13():855557. PubMed ID: 35368701
[No Abstract] [Full Text] [Related]
15. Identification of key pathways and genes in the progression of cervical cancer using bioinformatics analysis.
Wu K; Yi Y; Liu F; Wu W; Chen Y; Zhang W
Oncol Lett; 2018 Jul; 16(1):1003-1009. PubMed ID: 29963176
[TBL] [Abstract][Full Text] [Related]
16. Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics.
Zhang Z; Xiang K; Tan L; Du X; He H; Li D; Li L; Wen Q
Front Oncol; 2022; 12():967386. PubMed ID: 35965520
[TBL] [Abstract][Full Text] [Related]
17. Co-expression network analysis identified atypical chemokine receptor 1 (ACKR1) association with lymph node metastasis and prognosis in cervical cancer.
Liu J; Li S; Lin L; Jiang Y; Wan Y; Zhou S; Cheng W
Cancer Biomark; 2020; 27(2):213-223. PubMed ID: 32083574
[TBL] [Abstract][Full Text] [Related]
18. SNX10 and PTGDS are associated with the progression and prognosis of cervical squamous cell carcinoma.
Jiang P; Cao Y; Gao F; Sun W; Liu J; Ma Z; Xie M; Fu S
BMC Cancer; 2021 Jun; 21(1):694. PubMed ID: 34116656
[TBL] [Abstract][Full Text] [Related]
19. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatics analysis identifies hub genes and pathways in nasopharyngeal carcinoma.
Liu K; Kang M; Zhou Z; Qin W; Wang R
Oncol Lett; 2019 Oct; 18(4):3637-3645. PubMed ID: 31516577
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
