BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 35358302)

  • 1. Comprehensive Evaluation of Machine Learning Models and Gene Expression Signatures for Prostate Cancer Prognosis Using Large Population Cohorts.
    Li R; Zhu J; Zhong WD; Jia Z
    Cancer Res; 2022 May; 82(9):1832-1843. PubMed ID: 35358302
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Stromal Gene Expression is Predictive for Metastatic Primary Prostate Cancer.
    Mo F; Lin D; Takhar M; Ramnarine VR; Dong X; Bell RH; Volik SV; Wang K; Xue H; Wang Y; Haegert A; Anderson S; Brahmbhatt S; Erho N; Wang X; Gout PW; Morris J; Karnes RJ; Den RB; Klein EA; Schaeffer EM; Ross A; Ren S; Sahinalp SC; Li Y; Xu X; Wang J; Wang J; Gleave ME; Davicioni E; Sun Y; Wang Y; Collins CC
    Eur Urol; 2018 Apr; 73(4):524-532. PubMed ID: 28330676
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.
    Lee C; Light A; Alaa A; Thurtle D; van der Schaar M; Gnanapragasam VJ
    Lancet Digit Health; 2021 Mar; 3(3):e158-e165. PubMed ID: 33549512
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Extended application of genomic selection to screen multiomics data for prognostic signatures of prostate cancer.
    Li R; Wang S; Cui Y; Qu H; Chater JM; Zhang L; Wei J; Wang M; Xu Y; Yu L; Lu J; Feng Y; Zhou R; Huang Y; Ma R; Zhu J; Zhong W; Jia Z
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32898860
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A TMEFF2-regulated cell cycle derived gene signature is prognostic of recurrence risk in prostate cancer.
    Georgescu C; Corbin JM; Thibivilliers S; Webb ZD; Zhao YD; Koster J; Fung KM; Asch AS; Wren JD; Ruiz-Echevarría MJ
    BMC Cancer; 2019 May; 19(1):423. PubMed ID: 31060542
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrated machine learning identifies epithelial cell marker genes for improving outcomes and immunotherapy in prostate cancer.
    Zhu W; Zeng H; Huang J; Wu J; Wang Y; Wang Z; Wang H; Luo Y; Lai W
    J Transl Med; 2023 Nov; 21(1):782. PubMed ID: 37925432
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comprehensive evaluation of published gene expression prognostic signatures for biomarker-based lung cancer clinical studies.
    Tang H; Wang S; Xiao G; Schiller J; Papadimitrakopoulou V; Minna J; Wistuba II; Xie Y
    Ann Oncol; 2017 Apr; 28(4):733-740. PubMed ID: 28200038
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Reference-free transcriptome signatures for prostate cancer prognosis.
    Nguyen HTN; Xue H; Firlej V; Ponty Y; Gallopin M; Gautheret D
    BMC Cancer; 2021 Apr; 21(1):394. PubMed ID: 33845808
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Patient-Level DNA Damage and Repair Pathway Profiles and Prognosis After Prostatectomy for High-Risk Prostate Cancer.
    Evans JR; Zhao SG; Chang SL; Tomlins SA; Erho N; Sboner A; Schiewer MJ; Spratt DE; Kothari V; Klein EA; Den RB; Dicker AP; Karnes RJ; Yu X; Nguyen PL; Rubin MA; de Bono J; Knudsen KE; Davicioni E; Feng FY
    JAMA Oncol; 2016 Apr; 2(4):471-80. PubMed ID: 26746117
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets.
    Murtojärvi M; Halkola AS; Airola A; Laajala TD; Mirtti T; Aittokallio T; Pahikkala T
    Int J Med Inform; 2020 Jan; 133():104014. PubMed ID: 31783311
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer.
    Tschodu D; Lippoldt J; Gottheil P; Wegscheider AS; Käs JA; Niendorf A
    Sci Rep; 2023 Oct; 13(1):16402. PubMed ID: 37798300
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy.
    Su Q; Liu Z; Chen C; Gao H; Zhu Y; Wang L; Pan M; Liu J; Yang X; Tian J
    Cancer Med; 2021 Sep; 10(18):6492-6502. PubMed ID: 34453418
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrated Classification of Prostate Cancer Reveals a Novel Luminal Subtype with Poor Outcome.
    You S; Knudsen BS; Erho N; Alshalalfa M; Takhar M; Al-Deen Ashab H; Davicioni E; Karnes RJ; Klein EA; Den RB; Ross AE; Schaeffer EM; Garraway IP; Kim J; Freeman MR
    Cancer Res; 2016 Sep; 76(17):4948-58. PubMed ID: 27302169
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comprehensive molecular classification of localized prostate adenocarcinoma reveals a tumour subtype predictive of non-aggressive disease.
    Kamoun A; Cancel-Tassin G; Fromont G; Elarouci N; Armenoult L; Ayadi M; Irani J; Leroy X; Villers A; Fournier G; Doucet L; Boyault S; Brureau L; Multigner L; Diedhiou A; Roupret M; Compérat E; Blanchet P; de Reyniès A; Cussenot O
    Ann Oncol; 2018 Aug; 29(8):1814-1821. PubMed ID: 29945238
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer.
    Huang RH; Hong YK; Du H; Ke WQ; Lin BB; Li YL
    J Transl Med; 2023 Jan; 21(1):20. PubMed ID: 36635710
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Random forest-based modelling to detect biomarkers for prostate cancer progression.
    Toth R; Schiffmann H; Hube-Magg C; Büscheck F; Höflmayer D; Weidemann S; Lebok P; Fraune C; Minner S; Schlomm T; Sauter G; Plass C; Assenov Y; Simon R; Meiners J; Gerhäuser C
    Clin Epigenetics; 2019 Oct; 11(1):148. PubMed ID: 31640781
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Models predicting survival to guide treatment decision-making in newly diagnosed primary non-metastatic prostate cancer: a systematic review.
    Thurtle D; Rossi SH; Berry B; Pharoah P; Gnanapragasam VJ
    BMJ Open; 2019 Jun; 9(6):e029149. PubMed ID: 31230029
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma.
    Li MX; Sun XM; Cheng WG; Ruan HJ; Liu K; Chen P; Xu HJ; Gao SG; Feng XS; Qi YJ
    BMC Cancer; 2021 Aug; 21(1):906. PubMed ID: 34372798
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The role of genetic markers in the management of prostate cancer.
    Choudhury AD; Eeles R; Freedland SJ; Isaacs WB; Pomerantz MM; Schalken JA; Tammela TL; Visakorpi T
    Eur Urol; 2012 Oct; 62(4):577-87. PubMed ID: 22695242
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma.
    Tsai HK; Lehrer J; Alshalalfa M; Erho N; Davicioni E; Lotan TL
    BMC Cancer; 2017 Nov; 17(1):759. PubMed ID: 29132337
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.