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 *

161 related articles for article (PubMed ID: 32141309)

  • 1. A nomogram for predicting overall survival in patients with uterine leiomyosarcoma: a SEER population-based study.
    Lu YJ; Wang H; Fang LY; Wang WJ; Song W; Wang Y; Huang YQ; Din ZL
    Future Oncol; 2020 Apr; 16(10):573-584. PubMed ID: 32141309
    [No Abstract]   [Full Text] [Related]  

  • 2. External validation of a prognostic nomogram for overall survival in women with uterine leiomyosarcoma.
    Iasonos A; Keung EZ; Zivanovic O; Mancari R; Peiretti M; Nucci M; George S; Colombo N; Carinelli S; Hensley ML; Raut CP
    Cancer; 2013 May; 119(10):1816-22. PubMed ID: 23456762
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Construction and Validation of Nomograms for Predicting the Prognosis of Uterine Leiomyosarcoma: A Population-Based Study.
    Meng Y; Yang Y; Zhang Y; Li X
    Med Sci Monit; 2020 Apr; 26():e922739. PubMed ID: 32270788
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prognostic nomogram for predicting the overall survival rate of patients with uterine clear-cell carcinoma: Based on SEER database.
    Huang T; Lu F
    Int J Gynaecol Obstet; 2024 Aug; 166(2):707-717. PubMed ID: 38444201
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Individualized evaluation of risk and prognosis in uterine leiomyosarcoma patients with synchronous distant metastases: a real-world retrospective study.
    Liu Z; Gao F; Min T; Shang Q; Wang B; Pu J
    Front Oncol; 2024; 14():1417226. PubMed ID: 39386189
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A nomogram to predict postresection 5-year overall survival for patients with uterine leiomyosarcoma.
    Zivanovic O; Jacks LM; Iasonos A; Leitao MM; Soslow RA; Veras E; Chi DS; Abu-Rustum NR; Barakat RR; Brennan MF; Hensley ML
    Cancer; 2012 Feb; 118(3):660-9. PubMed ID: 21751199
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Web-based nomograms for predicting overall survival and cancer-specific survival in retroperitoneal leiomyosarcoma: a population-based analysis.
    Feng Z; Li Y
    J Cancer Res Clin Oncol; 2023 Oct; 149(13):11735-11748. PubMed ID: 37405479
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Can a Nomogram Help to Predict the Overall and Cancer-specific Survival of Patients With Chondrosarcoma?
    Song K; Shi X; Wang H; Zou F; Lu F; Ma X; Xia X; Jiang J
    Clin Orthop Relat Res; 2018 May; 476(5):987-996. PubMed ID: 29470233
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study.
    Li YJ; Lyu J; Li C; He HR; Wang JF; Wang YL; Fang J; Ji J
    BMC Womens Health; 2022 May; 22(1):175. PubMed ID: 35568940
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development, validation, and visualization of a web-based nomogram for predicting the incidence of leiomyosarcoma patients with distant metastasis.
    Li Z; Wei J; Cao H; Song M; Zhang Y; Jin Y
    Cancer Rep (Hoboken); 2022 May; 5(5):e1594. PubMed ID: 34859618
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Nomogram-Predicted Survival of Breast Cancer Brain Metastasis: a SEER-Based Population Study.
    Xiong Y; Cao H; Zhang Y; Pan Z; Dong S; Wang G; Wang F; Li X
    World Neurosurg; 2019 Aug; 128():e823-e834. PubMed ID: 31096027
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Nomogram for predicting the overall survival of patients with inflammatory breast cancer: A SEER-based study.
    Pan X; Yang W; Chen Y; Tong L; Li C; Li H
    Breast; 2019 Oct; 47():56-61. PubMed ID: 31351202
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Nomogram for Predicting Individual Prognosis of Patients with Low-Grade Glioma.
    Zhao YY; Chen SH; Hao Z; Zhu HX; Xing ZL; Li MH
    World Neurosurg; 2019 Oct; 130():e605-e612. PubMed ID: 31319188
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A novel nomogram based on LODDS to predict the prognosis of epithelial ovarian cancer.
    Xu XL; Cheng H; Tang MS; Zhang HL; Wu RY; Yu Y; Li X; Wang XM; Mai J; Yang CL; Jiao L; Li ZL; Zhong ZM; Deng R; Li JD; Zhu XF
    Oncotarget; 2017 Jan; 8(5):8120-8130. PubMed ID: 28042955
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A web-based nomogram to predict overall survival for postresection leiomyosarcoma patients with lung metastasis.
    Wei J; Liu L; Li Z; Ren Z; Zhang C; Cao H; Fen Z
    Medicine (Baltimore); 2023 Oct; 102(40):e35478. PubMed ID: 37800795
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Impact of adjuvant treatment and prognostic factors in stage I uterine leiomyosarcoma patients treated in Commission on Cancer®-accredited facilities.
    Vaz J; Tian C; Richardson MT; Chan JK; Mysona D; Rao UN; Powell MA; Shriver CD; Hamilton CA; Casablanca Y; Maxwell GL; Darcy KM
    Gynecol Oncol; 2020 Apr; 157(1):121-130. PubMed ID: 31954536
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nomograms Predict Cancer-Specific and Overall Survival of Patients With Primary Limb Leiomyosarcoma.
    Wang W; Hong J; Meng J; Wu H; Shi M; Yan S; Huang Y
    J Orthop Res; 2019 Jul; 37(7):1649-1657. PubMed ID: 30977539
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prognostic Significance of Tumor Deposits in Patients With Stage III Colon Cancer: A Nomogram Study.
    Zheng P; Chen Q; Li J; Jin C; Kang L; Chen D
    J Surg Res; 2020 Jan; 245():475-482. PubMed ID: 31446189
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and validation of nomogram combining serum biomarker for predicting survival in patients with resected rectal cancer.
    Fan S; Li T; Zhou P; Peng Q; Zhu Y
    Biosci Rep; 2019 Nov; 39(11):. PubMed ID: 31693739
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and validation of a prognostic nomogram for early-onset colon cancer.
    Yu C; Zhang Y
    Biosci Rep; 2019 Jun; 39(6):. PubMed ID: 31142625
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.