BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

152 related articles for article (PubMed ID: 36917336)

  • 1. A Competing Risk Model Nomogram to Predict the Long-Term Prognosis of Lung Carcinoid.
    Wang T; Zhou J; Zheng Q; Wu D; Lu T; Lin M; Pu Q; Mei J; Liu L
    Ann Surg Oncol; 2023 Sep; 30(9):5830-5839. PubMed ID: 36917336
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prognostic nomogram for predicting long-term cancer-specific survival in patients with lung carcinoid tumors.
    He Y; Zhao F; Han Q; Zhou Y; Zhao S
    BMC Cancer; 2021 Feb; 21(1):141. PubMed ID: 33557782
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The role of surgery for atypical bronchopulmonary carcinoid tumor: Development and validation of a model based on Surveillance, Epidemiology, and End Results (SEER) database.
    Chen X; Pang Z; Wang Y; Bie F; Zeng Y; Wang G; Du J
    Lung Cancer; 2020 Jan; 139():94-102. PubMed ID: 31759223
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Establishment of a Competing Risk Nomogram in Patients with Pulmonary Sarcomatoid Carcinoma.
    Liang Z; Zhang E; Duan L; Weygant N; An G; Hu B; Yao J
    Technol Cancer Res Treat; 2022; 21():15330338211068960. PubMed ID: 35179409
    [No Abstract]   [Full Text] [Related]  

  • 5. Development and validation of a nomogram for predicting cancer-specific survival of surgical resected stage I-II adenosquamous carcinoma of the lung.
    Li H; Wang Z; Yang F; Wang J
    J Surg Oncol; 2020 May; 121(6):1027-1035. PubMed ID: 32026478
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A competing risk nomogram predicting cause-specific mortality in patients with lung adenosquamous carcinoma.
    Wu X; Yu W; Petersen RH; Sheng H; Wang Y; Lv W; Hu J
    BMC Cancer; 2020 May; 20(1):429. PubMed ID: 32416716
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prognostic nomogram predicts overall survival in pulmonary large cell neuroendocrine carcinoma.
    He Y; Liu H; Wang S; Chen Y
    PLoS One; 2019; 14(9):e0223275. PubMed ID: 31560723
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Survival nomograms for colorectal carcinoma patients with lung metastasis and lung-only metastasis, based on the SEER database and a single-center external validation cohort.
    Liu LL; Sun JD; Xiang ZL
    BMC Gastroenterol; 2022 Nov; 22(1):446. PubMed ID: 36335295
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Competing risk nomogram for predicting prognosis of patients with spinal and pelvic chordoma: A SEER-based retrospective study.
    Li J; Ma C; Yuan X; Li N; Xu Y; Guo J; Liao H
    Eur Spine J; 2023 Apr; 32(4):1334-1344. PubMed ID: 36805321
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A new nomogram and risk classification system for predicting survival in small cell lung cancer patients diagnosed with brain metastasis: a large population-based study.
    Shan Q; Shi J; Wang X; Guo J; Han X; Wang Z; Wang H
    BMC Cancer; 2021 May; 21(1):640. PubMed ID: 34051733
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Competing risk nomogram for predicting cancer-specific mortality in patients with non-melanoma skin cancer.
    Tang L; Zhang L; Zeng Y; Li Y
    J Cancer Res Clin Oncol; 2023 Sep; 149(11):8817-8827. PubMed ID: 37142808
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Construction and validation of the prognostic model for patients with neuroendocrine cervical carcinoma: a competing risk nomogram analysis.
    Jiang AG; Cai X
    BMC Cancer; 2022 Jan; 22(1):4. PubMed ID: 34980030
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Construction and Validation of Prognosis Nomogram for Metastatic Lung Squamous Cell Carcinoma: A Population-Based Study.
    Liu Y; Sun M; Xiong Y; Gu X; Zhang K; Liu L
    Technol Cancer Res Treat; 2022; 21():15330338221132035. PubMed ID: 36217877
    [No Abstract]   [Full Text] [Related]  

  • 15. Risk factors, survival analysis, and nomograms for distant metastasis in patients with primary pulmonary large cell neuroendocrine carcinoma: A population-based study.
    Song Z; Zou L
    Front Endocrinol (Lausanne); 2022; 13():973091. PubMed ID: 36329892
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Epidemiology and Prognostic Nomogram for Predicting Long-Term Disease-Specific Survival in Patients With Pancreatic Carcinoid Tumor: A SEER-Based Study.
    Lin H; Li Y; Chen Y; Zeng L; Li B; Chen S
    Pancreas; 2024 May; 53(5):e424-e433. PubMed ID: 38530947
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prognostic Nomogram for Overall Survival in Small Cell Lung Cancer Patients Treated with Chemotherapy: A SEER-Based Retrospective Cohort Study.
    Liang M; Chen M; Singh S; Singh S
    Adv Ther; 2022 Jan; 39(1):346-359. PubMed ID: 34729705
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Risk Factors, Prognosis, and a New Nomogram for Predicting Cancer-Specific Survival Among Lung Cancer Patients with Brain Metastasis: A Retrospective Study Based on SEER.
    Zhang GH; Liu YJ; De Ji M
    Lung; 2022 Feb; 200(1):83-93. PubMed ID: 35067758
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Score for the Risk and Overall Survival of Lung Metastasis in Patients First Diagnosed With Soft Tissue Sarcoma: A Novel Nomogram-Based Risk Assessment System.
    Fan Z; Chi C; Tong Y; Huang Z; Song Y; You S
    Technol Cancer Res Treat; 2022; 21():15330338211066240. PubMed ID: 35006028
    [No Abstract]   [Full Text] [Related]  

  • 20. Worse characteristics can predict survival effectively in bilateral primary breast cancer: A competing risk nomogram using the SEER database.
    Shen K; Yao L; Wei J; Luo Z; Yu W; Zhai H; Wang J; Chen L; Fu D
    Cancer Med; 2019 Dec; 8(18):7890-7902. PubMed ID: 31663683
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.