BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

186 related articles for article (PubMed ID: 36933963)

  • 1. Nomograms for predicting overall survival and cancer-specific survival in patients with invasive micropapillary carcinoma: Based on the SEER database.
    Zhang T; Lai M; Wei Y; Zhu H; Zhu C; Guo Y; Zeng X
    Asian J Surg; 2023 Sep; 46(9):3734-3740. PubMed ID: 36933963
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A prognostic nomogram based on risk assessment for invasive micropapillary carcinoma of the breast after surgery.
    Chen Y; Yu C; Chen D; Tang Y; Zhu K; Guo R; Huang S; Li Z; Cen L
    Cancer Med; 2023 Apr; 12(7):8050-8062. PubMed ID: 36602294
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and validation of nomograms to predict survival in patients with invasive micropapillary carcinoma of the breast.
    Cheng Y; Zhang P; Huang Y; Zhang Z; Tang R; Chi F; Sun JY; He Z
    BMJ Open; 2023 Feb; 13(2):e065312. PubMed ID: 36810178
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Construction and validation of a nomogram for predicting the prognosis of patients with lymph node-positive invasive micropapillary carcinoma of the breast: based on SEER database and external validation cohort.
    Li Y; Liu J; Xu Z; Shang J; Wu S; Zhang M; Liu Y
    Front Oncol; 2023; 13():1231302. PubMed ID: 37954073
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Nomograms for predicting long-term overall survival and cancer-specific survival in patients with primary urethral carcinoma: a population-based study.
    Zi H; Gao L; Yu Z; Wang C; Ren X; Lyu J; Li X
    Int Urol Nephrol; 2020 Feb; 52(2):287-300. PubMed ID: 31612421
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prognostic Nomograms for Patients with Primary Sarcomatoid Carcinoma of The Urinary Bladder: Based on The SEER Database.
    Xu C; Xiong B
    Urol J; 2024 Mar; 21(2):87-97. PubMed ID: 37245087
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Nomogram for predicting preoperative lymph node involvement in patients with invasive micropapillary carcinoma of breast: a SEER population-based study.
    Ye FG; Xia C; Ma D; Lin PY; Hu X; Shao ZM
    BMC Cancer; 2018 Nov; 18(1):1085. PubMed ID: 30409127
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Nomogram predicting overall prognosis for invasive micropapillary carcinoma of the breast: a SEER-based population study.
    Liu J; Xi W; Zhou J; Gao W; Wu Q
    BMJ Open; 2023 Aug; 13(8):e072632. PubMed ID: 37550031
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A SEER-based nomogram accurately predicts prognosis in Ewing's sarcoma.
    Zhan H; Mo F; Zhu M; Xu X; Zhang B; Liu H; Dai M
    Sci Rep; 2021 Nov; 11(1):22723. PubMed ID: 34811459
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Development and validation of nomograms for predicting overall survival and cancer specific survival in locally advanced breast cancer patients: A SEER population-based study.
    Yin F; Wang S; Hou C; Zhang Y; Yang Z; Wang X
    Front Public Health; 2022; 10():969030. PubMed ID: 36203704
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Web-Based Prediction Models for Overall Survival and Cancer-Specific Survival of Patients With Primary Urachal Carcinoma: A Study Based on SEER Database.
    Ding L; Xia B; Zhang Y; Liu Z; Wang J
    Front Public Health; 2022; 10():870920. PubMed ID: 35719613
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prognostic significance of surgery and radiotherapy in elderly patients with localized prostate cancer: establishing and time-based external validation a nomogram from SEER-based study.
    Zhanghuang C; Zhu J; Li Y; Wang J; Ma J; Li L; Yao Z; Ji F; Wu C; Tang H; Xie Y; Yan B; Yang Z
    BMC Urol; 2024 Jan; 24(1):12. PubMed ID: 38184526
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Nomogram predicts the prognosis of patients with thymic carcinoma: A population-based study using SEER data.
    Huang YY; Liu X; Liang SH; Wu LL; Ma GW
    Tumori; 2023 Jun; 109(3):282-294. PubMed ID: 35897150
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Construction and validation of nomograms for predicting the prognosis of elderly patients with uterine serous carcinoma: a SEER-based study.
    Liu T; Zhang H; Han C; Kong W
    J Cancer Res Clin Oncol; 2023 Nov; 149(16):14475-14492. PubMed ID: 37567988
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.