These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 31655274)

  • 1. Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality.
    Hossain MA; Saiful Islam SM; Quinn JMW; Huq F; Moni MA
    J Biomed Inform; 2019 Dec; 100():103313. PubMed ID: 31655274
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
    Li Y; Li L
    J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Investigating PPT2's role in ovarian cancer prognosis and immunotherapy outcomes.
    Xu H; Zhang Y; Xie Z; Xie XF; Qiao WL; Wang M; Zhao BB; Hua T
    J Ovarian Res; 2024 Oct; 17(1):198. PubMed ID: 39394143
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Integrated Bioinformatic Approach Reveals the Prognostic Significance of LRP1 Expression in Ovarian Cancer.
    Wolde T; Bhardwaj V; Reyad-Ul-Ferdous M; Qin P; Pandey V
    Int J Mol Sci; 2024 Jul; 25(14):. PubMed ID: 39063239
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis.
    Zou J; Li Y; Liao N; Liu J; Zhang Q; Luo M; Xiao J; Chen Y; Wang M; Chen K; Zeng J; Mo Z
    J Ovarian Res; 2022 Feb; 15(1):30. PubMed ID: 35227296
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cross-validation of genes potentially associated with overall survival and drug resistance in ovarian cancer.
    Gao Y; Liu X; Li T; Wei L; Yang A; Lu Y; Zhang J; Li L; Wang S; Yin F
    Oncol Rep; 2017 May; 37(5):3084-3092. PubMed ID: 28350120
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel risk score system for assessment of ovarian cancer based on co-expression network analysis and expression level of five lncRNAs.
    Zhao Q; Fan C
    BMC Med Genet; 2019 Jun; 20(1):103. PubMed ID: 31182053
    [TBL] [Abstract][Full Text] [Related]  

  • 9. RAD51AP1 promotes progression of ovarian cancer via TGF-β/Smad signalling pathway.
    Zhao H; Gao Y; Chen Q; Li J; Ren M; Zhao X; Yue W
    J Cell Mol Med; 2021 Feb; 25(4):1927-1938. PubMed ID: 33314567
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Distinct transcriptional programs stratify ovarian cancer cell lines into the five major histological subtypes.
    Barnes BM; Nelson L; Tighe A; Burghel GJ; Lin IH; Desai S; McGrail JC; Morgan RD; Taylor SS
    Genome Med; 2021 Sep; 13(1):140. PubMed ID: 34470661
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Establishment and validation of an RNA binding protein-associated prognostic model for ovarian cancer.
    He C; Huang F; Zhang K; Wei J; Hu K; Liang M
    J Ovarian Res; 2021 Feb; 14(1):27. PubMed ID: 33550985
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Establishment of a SVM classifier to predict recurrence of ovarian cancer.
    Zhou J; Li L; Wang L; Li X; Xing H; Cheng L
    Mol Med Rep; 2018 Oct; 18(4):3589-3598. PubMed ID: 30106117
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Decreased expression of ALDH5A1 predicts prognosis in patients with ovarian cancer.
    Tian X; Han Y; Yu L; Luo B; Hu Z; Li X; Yang Z; Wang X; Huang W; Wang H; Zhang Q; Ma D
    Cancer Biol Ther; 2017 Apr; 18(4):245-251. PubMed ID: 28346042
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Association of ABC gene profiles with time to progression and resistance in ovarian cancer revealed by bioinformatics analyses.
    Seborova K; Vaclavikova R; Soucek P; Elsnerova K; Bartakova A; Cernaj P; Bouda J; Rob L; Hruda M; Dvorak P
    Cancer Med; 2019 Feb; 8(2):606-616. PubMed ID: 30672151
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bioinformatics analysis to screen the key prognostic genes in ovarian cancer.
    Li L; Cai S; Liu S; Feng H; Zhang J
    J Ovarian Res; 2017 Apr; 10(1):27. PubMed ID: 28407786
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multifactor assessment of ovarian cancer reveals immunologically interpretable molecular subtypes with distinct prognoses.
    Guo Y; Li S; Li C; Wang L; Ning W
    Front Immunol; 2023; 14():1326018. PubMed ID: 38143770
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of immune microenvironment subtypes that predicted the prognosis of patients with ovarian cancer.
    Wang X; Li X; Wang X
    J Cell Mol Med; 2021 Apr; 25(8):4053-4061. PubMed ID: 33675171
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis.
    Feng H; Gu ZY; Li Q; Liu QH; Yang XY; Zhang JJ
    J Ovarian Res; 2019 Apr; 12(1):35. PubMed ID: 31010415
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Glycosylation-Related Genes Predict the Prognosis and Immune Fraction of Ovarian Cancer Patients Based on Weighted Gene Coexpression Network Analysis (WGCNA) and Machine Learning.
    Zhao C; Xiong K; Zhao F; Adam A; Li X
    Oxid Med Cell Longev; 2022; 2022():3665617. PubMed ID: 35281472
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Profiling and bioinformatics analyses reveal differential circular RNA expression in ovarian cancer.
    Wang J; Wu A; Yang B; Zhu X; Teng Y; Ai Z
    Gene; 2020 Jan; 724():144150. PubMed ID: 31589961
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.