BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 32269625)

  • 1. Competing risk nomogram to predict cancer-specific survival in esophageal cancer during the intensity-modulated radiation therapy era: A single institute analysis.
    Zhao S; Qi W; Chen J
    Oncol Lett; 2020 May; 19(5):3513-3521. PubMed ID: 32269625
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Competing risk nomograms for nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data, intelligence platform-based analysis.
    Huang XD; Zhou GQ; Lv JW; Zhou HQ; Zhong CW; Wu CF; Zheng ZQ; He XJ; Peng L; Ma J; Sun Y
    Radiother Oncol; 2018 Nov; 129(2):389-395. PubMed ID: 30270098
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prognostic nomogram for previously untreated patients with esophageal squamous cell carcinoma after esophagectomy followed by adjuvant chemotherapy.
    Duan J; Deng T; Ying G; Huang D; Zhang H; Zhou L; Bai M; Li H; Yang H; Qu Y; Wang X; Ba Y
    Jpn J Clin Oncol; 2016 Apr; 46(4):336-43. PubMed ID: 26819278
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Nomogram to Predict Cancer-Specific Survival in Patients with Pancreatic Acinar Cell Carcinoma: A Competing Risk Analysis.
    He C; Zhang Y; Cai Z; Duan F; Lin X; Li S
    J Cancer; 2018; 9(22):4117-4127. PubMed ID: 30519311
    [No Abstract]   [Full Text] [Related]  

  • 6. 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]  

  • 7. Competing risk nomogram predicting initial loco-regional recurrence in gastric cancer patients after D2 gastrectomy.
    Wang SB; Qi WX; Chen JY; Xu C; Kirova YM; Cao WG; Cai R; Cao L; Yan M; Cai G
    Radiat Oncol; 2019 Jul; 14(1):128. PubMed ID: 31315683
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prognosis viewing for nasopharyngeal carcinoma treated with intensity-modulated radiation therapy: application of nomogram and decision curve analysis.
    Fei Z; Qiu X; Li M; Chen C; Li Y; Huang Y
    Jpn J Clin Oncol; 2020 Feb; 50(2):159-168. PubMed ID: 31711182
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Nomogram to Predict Cause-Specific Mortality in Patients With Surgically Resected Stage I Non-Small-Cell Lung Cancer: A Competing Risk Analysis.
    Zhou H; Zhang Y; Qiu Z; Chen G; Hong S; Chen X; Zhang Z; Huang Y; Zhang L
    Clin Lung Cancer; 2018 Mar; 19(2):e195-e203. PubMed ID: 29153966
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The value of detailed MR imaging report of primary tumor and lymph nodes on prognostic nomograms for nasopharyngeal carcinoma after intensity-modulated radiotherapy.
    Wan Y; Tian L; Zhang G; Xin H; Li H; Dong A; Liang Y; Jing B; Zhou J; Cui C; Chen M; Sun Y; Xie C; Liu L; Shao Y
    Radiother Oncol; 2019 Feb; 131():35-44. PubMed ID: 30773185
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and validation of nomograms to accurately predict risk of recurrence for patients with laryngeal squamous cell carcinoma: Cohort study.
    Cui J; Wang L; Tan G; Chen W; He G; Huang H; Chen Z; Yang H; Chen J; Liu G
    Int J Surg; 2020 Apr; 76():163-170. PubMed ID: 32173614
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of a nomogram for predicting the survival of patients with non-metastatic nasopharyngeal carcinoma after curative treatment.
    Liang W; Shen G; Zhang Y; Chen G; Wu X; Li Y; Li A; Kang S; Yuan X; Hou X; Huang P; Huang Y; Zhao H; Tian Y; Zhao C; Zhang L
    Chin J Cancer; 2016 Nov; 35(1):98. PubMed ID: 27887636
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Clinical-radiomics nomogram for the risk prediction of esophageal fistula in patients with esophageal squamous cell carcinoma treated with intensity-modulated radiation therapy or volumetric-modulated arc therapy.
    Li Z; Gong J; Shi L; Li J; Yang Z; Chai G; Lv B; Xiang G; Wang B; Carr SR; Fiorelli A; Shi M; Zhao Y; Zhao L
    J Thorac Dis; 2024 Mar; 16(3):2032-2048. PubMed ID: 38617757
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting prognosis in resected esophageal squamous cell carcinoma using a clinical nomogram and recursive partitioning analysis.
    Zheng Y; Fu S; He T; Yan Q; Di W; Wang J
    Eur J Surg Oncol; 2018 Aug; 44(8):1199-1204. PubMed ID: 29784506
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and Validation of Nomograms for Predicting Cancer-Specific Survival in Elderly Patients with Intrahepatic Cholangiocarcinoma After Liver Resection: A Competing Risk Analysis.
    Wang T; Zhang J; Wang W; Yang X; Kong J; Shen S; Wang W
    Cancer Manag Res; 2020; 12():11015-11029. PubMed ID: 33173335
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prognostic Nomogram for Patients with Nasopharyngeal Carcinoma after Intensity-Modulated Radiotherapy.
    Wu S; Xia B; Han F; Xie R; Song T; Lu L; Yu W; Deng X; He Q; Zhao C; Xie C
    PLoS One; 2015; 10(8):e0134491. PubMed ID: 26248338
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A competing-risks nomogram and recursive partitioning analysis for cause-specific mortality in patients with esophageal neuroendocrine carcinoma.
    Zhang G; Wu B; Wang X; Li J
    Dis Esophagus; 2019 Dec; 32(11):. PubMed ID: 30715226
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Model to Predict Cause-Specific Mortality in Patients with Head and Neck Adenoid Cystic Carcinoma: A Competing Risk Analysis.
    Shen W; Sakamoto N; Yang L
    Ann Surg Oncol; 2017 Aug; 24(8):2129-2136. PubMed ID: 28424937
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Novel Nomogram and Risk Classification System Predicting the Cancer-Specific Survival of Patients with Initially Diagnosed Metastatic Esophageal Cancer: A SEER-Based Study.
    Tang X; Zhou X; Li Y; Tian X; Wang Y; Huang M; Ren L; Zhou L; Ding Z; Zhu J; Xu Y; Peng F; Wang J; Lu Y; Gong Y
    Ann Surg Oncol; 2019 Feb; 26(2):321-328. PubMed ID: 30357578
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Competing-risk nomogram for predicting survival in patients with advanced (stage III/IV) gallbladder cancer: A SEER population-based study.
    Wang J; Yang Y; Pan J; Qiu Y; Shen S; Wang W
    Jpn J Clin Oncol; 2022 Apr; 52(4):353-361. PubMed ID: 35137118
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.