BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 38333878)

  • 1. Establishment and verification of the first prognostic nomograms in locally advanced thyroid cancer based on the analysis of clinical and follow-up information on 2396 patients.
    Li Y; Zhang H; Cao Y; He N; Li W; Gao X; Guo T; Liu J
    Heliyon; 2024 Feb; 10(3):e24798. PubMed ID: 38333878
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The novel prognostic nomograms for predicting cancer-specific survival and overall survival in mixed medullary and follicular cell carcinoma: A SEER-based study.
    Li Y; Guo T; Gao X; Liu J
    J Cancer Res Clin Oncol; 2023 Dec; 149(18):16337-16354. PubMed ID: 37704803
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and validation of survival nomograms for patients with differentiated thyroid cancer with distant metastases: a SEER Program-based study.
    Ma Q; Chen Z; Fang Y; Wei X; Wang N; Zhou X; Li S; Ying C
    J Endocrinol Invest; 2024 Jan; 47(1):115-129. PubMed ID: 37294407
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Establishment and validation of systematic prognostic nomograms in patients over 60 years of age with osteosarcoma: A multicenter external verification study.
    Shao Z; Li J; Liu Z; Bi S
    Cancer Med; 2023 Apr; 12(8):9589-9603. PubMed ID: 36992547
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Establishment and validation of nomogram models for overall survival and cancer-specific survival in spindle cell sarcoma patients.
    Qi W; Ren Y; Wang H; Wan Y; Wang D; Yao J; Pan H
    Sci Rep; 2023 Dec; 13(1):23018. PubMed ID: 38155261
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of prognostic nomograms for early-onset colon cancer in different tumor locations: a population-based study.
    Zhu S; Tu J; Pei W; Zheng Z; Bi J; Feng Q
    BMC Gastroenterol; 2023 Oct; 23(1):362. PubMed ID: 37865754
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Nomograms and scoring system for forecasting overall and cancer-specific survival of patients with prostate cancer.
    Zhou Y; Lin C; Zhu L; Zhang R; Cheng L; Chang Y
    Cancer Med; 2023 Feb; 12(3):2600-2613. PubMed ID: 35993499
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Developing and validating nomograms for predicting the survival in patients with clinical local-advanced gastric cancer.
    Hou C; Yin F; Liu Y
    Front Oncol; 2022; 12():1039498. PubMed ID: 36387146
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Two web-based dynamically interactive nomograms and risk stratification systems for predicting survival outcomes and guiding treatment in non-metastatic nasopharyngeal carcinoma.
    Zuo H; Li MM
    J Cancer Res Clin Oncol; 2023 Nov; 149(17):15969-15987. PubMed ID: 37684510
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Establishment and validation of a postoperative predictive model for patients with colorectal mucinous adenocarcinoma.
    Wang P; Song Q; Lu M; Xia Q; Wang Z; Zhao Q; Ma X
    World J Surg Oncol; 2022 Oct; 20(1):330. PubMed ID: 36192778
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Development and Evaluation of Prognostic Nomogram Model for Adult Ventricle Glioma Patients].
    Zhang HD; Niu XD; Zhou XW; Yang Y; Li JM; Gan YJ; Wang X; Liu YH; Mao Q
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2022 Jul; 53(4):588-596. PubMed ID: 35871728
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nomograms for predicting overall survival and cancer-specific survival in elderly patients with epithelial ovarian cancer.
    Cheng H; Xu JH; Kang XH; Wu CC; Tang XN; Chen ML; Lian ZS; Li N; Xu XL
    J Ovarian Res; 2023 Apr; 16(1):75. PubMed ID: 37059991
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Prognostic Nomogram Based on the Metastatic Lymph Node Ratio for T
    Shi J; Liu S; Cao J; Shan S; Ren C; Zhang J; Wang Y
    Front Oncol; 2022; 12():899759. PubMed ID: 35574346
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comprehensive survival nomograms for locally advanced gastric cancer: a large population-based real-world study.
    Maimaiti A; Zhou Y; Wang D; Zhou Z; Pei H; Li Y
    Transl Cancer Res; 2023 Nov; 12(11):2989-3006. PubMed ID: 38130296
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Incidence, Risk Factors and Prognosis of T4a Gastric Cancer: A Population-Based Study.
    Hu Z; Zuo Z; Miao H; Ning Z; Deng Y
    Front Med (Lausanne); 2021; 8():767904. PubMed ID: 35071261
    [No Abstract]   [Full Text] [Related]  

  • 20. The nomograms for predicting overall and cancer-specific survival in elderly patients with early-stage lung cancer: A population-based study using SEER database.
    Yu G; Liu X; Li Y; Zhang Y; Yan R; Zhu L; Wang Z
    Front Public Health; 2022; 10():946299. PubMed ID: 36159305
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.