BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

417 related articles for article (PubMed ID: 29190971)

  • 1. Nomograms for predicting the overall and cancer-specific survival of patients with classical Hodgkin lymphoma: a SEER-based study.
    Zhang Y; Zhang J; Zeng H; Zhou XH; Zhou HB
    Oncotarget; 2017 Nov; 8(54):92978-92988. PubMed ID: 29190971
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Establishment and Verification of Prognostic Nomograms for Patients with Gastrointestinal Stromal Tumors: A SEER-Based Study.
    Chen Z; Lin RM; Bai YK; Zhang Y
    Biomed Res Int; 2019; 2019():8293261. PubMed ID: 31032364
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Nomograms and risk classification systems predicting overall and cancer-specific survival in primary malignant cardiac tumor.
    Guan T; Li Y; Qiu Z; Zhang Y; Lin W; Lai Y; Wang K; Shen Y; Du L; Liu C
    J Card Surg; 2019 Dec; 34(12):1540-1549. PubMed ID: 31794125
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and validation of a nomogram to predict the prognosis of patients with gastric cardia cancer.
    Shi X; Xu L; Ma B; Wang S
    Sci Rep; 2020 Aug; 10(1):14143. PubMed ID: 32839498
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Development and validation of Nomograms for predicting overall survival and Cancer-specific survival in patients with ovarian clear cell carcinoma.
    Chen Q; Wang S; Lang JH
    J Ovarian Res; 2020 Oct; 13(1):123. PubMed ID: 33069259
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nomograms predicting the overall survival and cancer-specific survival of patients with stage IIIC1 cervical cancer.
    Feng Y; Wang Y; Xie Y; Wu S; Li Y; Li M
    BMC Cancer; 2021 Apr; 21(1):450. PubMed ID: 33892663
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and validation of a nomogram for predicting survival in patients with gastrointestinal stromal tumours.
    Song W; Lv CG; Miao DL; Zhu ZG; Wu Q; Wang YG; Chen L
    Eur J Surg Oncol; 2018 Oct; 44(10):1657-1665. PubMed ID: 30082175
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Construction and validation of prognostic nomogram for metaplastic breast cancer.
    Li Y; Chen D; Xuan H; Dragomir MP; Calin GA; Meng X; Chen M; Jin H
    Bosn J Basic Med Sci; 2022 Feb; 22(1):131-139. PubMed ID: 34247567
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifying the Prognosis Factors and Predicting the Survival Probability in Patients with Non-Metastatic Chondrosarcoma from the SEER Database.
    Huang R; Sun Z; Zheng H; Yan P; Hu P; Yin H; Zhang J; Meng T; Huang Z
    Orthop Surg; 2019 Oct; 11(5):801-810. PubMed ID: 31663279
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Nomograms for predicting overall and cancer-specific survival in patients with papillary renal cell carcinoma: a population-based study using SEER database.
    Yan H; Wei X; Wu A; Sha Y; Li X; Qi F
    Transl Androl Urol; 2020 Jun; 9(3):1146-1158. PubMed ID: 32676398
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A prognostic model of patients with ovarian mucinous adenocarcinoma: a population-based analysis.
    Yang L; Yu J; Zhang S; Shan Y; Li Y; Xu L; Zhang J; Zhang J
    J Ovarian Res; 2022 Feb; 15(1):26. PubMed ID: 35168642
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Establishment and validation of prognostic nomograms to predict the overall and cancer-specific survival in patients with hepatic malignant vascular tumors.
    Pu Z; Chen J; Peng F; Ruan Z; Zhu Y; Wang X; Huang Y; Yi P; Chen Y; Quan J; Huang Z; Liu Z; Hu X
    Am J Transl Res; 2022; 14(2):798-818. PubMed ID: 35273686
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prognostic Factors and a Nomogram Predicting Overall Survival and Cancer-Specific Survival for Patients with Collecting Duct Renal Cell Carcinoma.
    Xiao R; Liu C; He W; Ma L
    Biomed Res Int; 2021; 2021():6736008. PubMed ID: 34805402
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prognostic models for predicting overall and cancer-specific survival of patients with initially diagnosed metastatic cervical squamous cell carcinoma: A study based on SEER database.
    Ding R; Su Z; Chen M; Chen L
    Medicine (Baltimore); 2023 Jul; 102(28):e34313. PubMed ID: 37443499
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prognostic Model for Predicting Overall and Cancer-Specific Survival Among Patients With Cervical Squamous Cell Carcinoma: A SEER Based Study.
    Li Z; Lin Y; Cheng B; Zhang Q; Cai Y
    Front Oncol; 2021; 11():651975. PubMed ID: 34336651
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nomograms to predict individual prognosis of patients with squamous cell carcinoma of the urinary bladder.
    Zhang G; Li Z; Song D; Fang Z
    BMC Cancer; 2019 Dec; 19(1):1200. PubMed ID: 31818271
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma.
    Guo Q; Wang Y; An J; Wang S; Dong X; Zhao H
    Technol Cancer Res Treat; 2021; 20():15330338211027912. PubMed ID: 34190015
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prognostic nomograms and Aggtrmmns scoring system for predicting overall survival and cancer-specific survival of patients with kidney cancer.
    Zhou Y; Zhang R; Ding Y; Wang Z; Yang C; Tao S; Liang C
    Cancer Med; 2020 Apr; 9(8):2710-2722. PubMed ID: 32087609
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prognostic Nomograms for Predicting Overall Survival and Cancer-Specific Survival of Patients With Malignant Pheochromocytoma and Paraganglioma.
    Zheng L; Gu Y; Silang J; Wang J; Luo F; Zhang B; Li C; Wang F
    Front Endocrinol (Lausanne); 2021; 12():684668. PubMed ID: 34234744
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.