BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

292 related articles for article (PubMed ID: 34364382)

  • 21. A Clinical Model of Bone Angiosarcoma Patients: A Population-based Analysis of Epidemiology, Prognosis, and Treatment.
    Wang B; Chen LJ; Wang XY
    Orthop Surg; 2020 Dec; 12(6):1652-1662. PubMed ID: 32914587
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prognostic nomograms based on log odds of positive lymph nodes for patients with renal cell carcinoma: A retrospective cohort study.
    Zhou W; Huang C; Yuan N
    Int J Surg; 2018 Dec; 60():28-40. PubMed ID: 30389534
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Nomogram predicting cancer-specific survival in elderly patients with stages I-III colon cancer.
    Zheng P; Lai C; Yang W; Guo J; Xiao S; Chen Z
    Scand J Gastroenterol; 2020 Feb; 55(2):202-208. PubMed ID: 32008420
    [No Abstract]   [Full Text] [Related]  

  • 24. 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]  

  • 25. 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]  

  • 26. Prognostic nomogram based on the metastatic lymph node ratio for gastric neuroendocrine tumour: SEER database analysis.
    Li J; Lin Y; Wang Y; Lin H; Lin F; Zhuang Q; Lin X; Wu J
    ESMO Open; 2020 Apr; 5(2):. PubMed ID: 32253246
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Prognostic Factors and Nomograms to Predict Overall and Cancer-Specific Survival for Children with Wilms' Tumor.
    Tang F; Zhang H; Lu Z; Wang J; He C; He Z
    Dis Markers; 2019; 2019():1092769. PubMed ID: 31871495
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Nomograms for Predicting Overall Survival and Cancer-Specific Survival of Young Patients with Epithelial Ovarian Cancer: Analysis Based on SEER Program.
    Gao J; Wang S; Li F; Xu H; Li X; Yan L; Zhu L
    Adv Ther; 2022 Jan; 39(1):257-285. PubMed ID: 34716558
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Prognostic Nomograms to Predict Survival of Patients with Resectable Gallbladder Cancer: A Surveillance, Epidemiology, and End Results (SEER)-Based Analysis.
    Lin Y; Chen H; Pan F
    Med Sci Monit; 2021 Mar; 27():e929106. PubMed ID: 33784268
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A Nomogram Based on the Log Odds of Positive Lymph Nodes Predicts the Prognosis of Patients with Colon Neuroendocrine Tumors After Surgery: A Surveillance, Epidemiology, and End Results Population-Based Study.
    Zhang X; Zhang K; Li S; Xu A
    Technol Cancer Res Treat; 2023; 22():15330338231180776. PubMed ID: 37345370
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Nomograms for predicting the overall and cause-specific survival in patients with malignant peripheral nerve sheath tumor: a population-based study.
    Yan P; Huang R; Hu P; Liu F; Zhu X; Hu P; Yin H; Zhang J; Meng T; Huang Z
    J Neurooncol; 2019 Jul; 143(3):495-503. PubMed ID: 31089923
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Development and Validation of the Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Patients With Synovial Sarcoma.
    Song Z; Cheng L; Lu L; Lu W; Zhou Y; Wang Z
    Front Endocrinol (Lausanne); 2021; 12():764571. PubMed ID: 35308782
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Development of comprehensive nomograms for evaluating overall and cancer-specific survival of laryngeal squamous cell carcinoma patients treated with neck dissection.
    Shi X; Hu WP; Ji QH
    Oncotarget; 2017 May; 8(18):29722-29740. PubMed ID: 28430613
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Construction and validation of nomograms for non-metastatic Ewing sarcoma: A prognostic factor analysis based on the SEER database.
    Huang R; Han D; Shi C; Yan P; Hu P; Zhu X; Yin H; Meng T; Huang Z
    Oncol Lett; 2021 Nov; 22(5):777. PubMed ID: 34594418
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Nomograms for Predicting Survival Outcomes in Patients with Neuroendocrine Neoplasms of the Gallbladder Undergoing Primary Tumor Resection: A Population-Based Study.
    Zhang YR; Hu GC; Fan MK; Yao HL; Jiang C; Shi HY; Lin R
    Curr Oncol; 2023 Feb; 30(3):2889-2899. PubMed ID: 36975434
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A model for predicting the overall survival of gastroenteropancreatic neuroendocrine neoplasms after surgery.
    Feng LH; Su T; Lu Y; Ren S; Huang L; Qin X; Liao T
    Scand J Gastroenterol; 2022 May; 57(5):581-588. PubMed ID: 35001789
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Establishment and validation of prognostic nomograms to predict overall survival and cancer-specific survival for patients with osteosarcoma.
    Yang QK; Lai QY; Wang Y; Wang Y; Yao ZX; Zhang XJ
    Neoplasma; 2021 Mar; 68(2):434-446. PubMed ID: 33118831
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Nomograms to Predict Overall and Cancer-Specific Survival in Gastric Signet-Ring Cell Carcinoma.
    Chen CL; Xue DX; Chen HH; Liang MZ; Lin DZ; Yu M; Chen JX; Wu WL
    J Surg Res; 2021 Oct; 266():13-26. PubMed ID: 33979736
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Surveillance of prognostic risk factors in patients with SCCB using artificial intelligence: a retrospective study.
    Zhanghuang C; Zhang Z; Wang J; Yao Z; Ji F; Wu C; Ma J; Yang Z; Xie Y; Tang H; Yan B
    Sci Rep; 2023 May; 13(1):8727. PubMed ID: 37253772
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.