The Log Odds of Positive Lymph Nodes Predict Survival of Advanced-Stage Endometrial Cancer: A Retrospective Analysis of 3230 Patients in the Surveillance, Epidemiology, and End Results Database

被引:1
|
作者
Smith, Christopher G. [1 ,5 ]
Chen, Quan [2 ]
Huang, Bin [2 ]
Miller, Rachel W. [3 ,4 ]
DeSimone, Christopher P. [3 ,4 ]
Dietrich, Charles S., III [3 ,4 ]
Ueland, Frederick R. [3 ,4 ]
Gallion, Holly H. [3 ,4 ]
Pavlik, Edward J. [3 ,4 ]
van Nagell, John R. [3 ,4 ]
Branch, Lauren Baldwin A. [3 ,4 ]
机构
[1] Emory Univ, Rollins Sch Publ Hlth, Atlanta, GA USA
[2] Markey Canc Ctr, Dept Biostat, Lexington, KY USA
[3] Markey Canc Ctr, Dept Obstet & Gynecol, Lexington, KY USA
[4] Markey Canc Ctr, Div Gynecol Oncol, Lexington, KY USA
[5] Emory Univ, Rollins Sch Publ Hlth, 1518 Clifton Rd NE, Atlanta, GA 30322 USA
关键词
endometrial cancer; SEER; survival; lymphadenectomy; LODDS; PROGNOSTIC INDICATOR; LYMPHADENECTOMY; RATIO; PATTERNS; SUPERIOR; BIOPSY; CARCINOMA; OUTCOMES;
D O I
10.1089/gyn.2021.0128
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Objective: The aim of this study was to establish the effective and prognostic value of the log of odds (LODDS) of positive lymph nodes for predicting the survival of patients undergoing surgical staging for endometrial cancer (EC).& nbsp;Materials and Methods: This retrospective cohort study used the Surveillance, Epidemiology, and End Results (SEER) database of EC cases diagnosed from 2010 to 2015. The LODDS was calculated using the equation:& nbsp;logpLN+0.5/nLN+0.5,& nbsp;when pLN = number of positive lymph nodes and nLN = number of negative lymph nodes. LODDS and FIGO staging were compared, using a Kaplan-Meier (K-M) analysis and univariate Cox regression modeling to analyze the risk factors for survival. The independent prognostic effect of univariate Cox model variables was evaluated with a multivariate Cox regression model.& nbsp;Results: The analyses included 3230 EC cases from the SEER database (International Federation of Gynecology and Obstetrics [FIGO] stage IIIC1 = 1546, FIGO stage IIIC2 = 958, and FIGO stage IV = 726). Among these cases, 58.0% had high-grade histology (FIGO grade 3-4) and 59.0% were classified as type II EC. There were 925 EC-specific deaths. Cases were categorized into 2 groups: (1) LODDS < -0.12707 and (2) LODDS >=& nbsp;-0.12707. K-M curve analyses showed 1-, 3-, and 5-year disease-specific survival (DSS) rates of 93.9, 75.9, and 67.5% for LODDS < -0.12707; and 78.6, 49.6, and 38.1% for LODDS >=& nbsp;-0.12707, respectively. Cumulative 1-, 3-, and 5-year DSS were 91.0, 71.1, and 62.2%, respectively. In multivariate analysis, LODDS is an independent prognostic factor for EC mortality (hazard ratio = 2.14; 95% confidence interval: 1.85-2.47; p < 0.0001).& nbsp;Conclusions: LODDS classification has significant prognostic value for survival among patients with EC. (J GYNECOL SURG 20XX:000)
引用
收藏
页码:278 / 286
页数:9
相关论文
共 50 条
  • [31] Effect of Radiotherapy on the Survival of Patients With Stage I and Stage II Mantle Cell Lymphoma: Analysis of the Surveillance, Epidemiology and End Results Database
    Murthy, Guru Subramanian Guru
    Venkitachalam, Raji
    Mehta, Paulette
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2014, 14 : S90 - S95
  • [32] The determinants of recent gains in cancer survival: An analysis of the Surveillance, Epidemiology, and End Results (SEER) database
    Sun, E.
    Lakdawalla, D.
    Reyes, C.
    Goldman, D.
    Philipson, T.
    Jena, A.
    JOURNAL OF CLINICAL ONCOLOGY, 2008, 26 (15)
  • [33] Incidence and survival outcomes of secondary liver cancer: a Surveillance Epidemiology and End Results database analysis
    Wang, Zheng-Gang
    He, Zhi-Yi
    Chen, Yan-Yan
    Gao, Huan
    Du, Xing-Li
    TRANSLATIONAL CANCER RESEARCH, 2021, 10 (03) : 1273 - 1283
  • [34] A Prognostic Nomogram Based on Log Odds of Positive Lymph Nodes to Predict Overall Survival for Non-Metastatic Bladder Cancer Patients after Radical Cystectomy
    Yang, Jingtian
    Huang, Huasheng
    Li, Wenshuang
    Ran, Shengming
    Hu, Jintao
    Zhang, Yishan
    Li, Wenjie
    Chen, Changhao
    He, Wang
    CURRENT ONCOLOGY, 2022, 29 (10) : 6834 - 6846
  • [35] Construction and validation of novel nomograms based on the log odds of positive lymph nodes to predict the prognosis of papillary thyroid cancer: a retrospective cohort study
    Jing, Saisai
    Song, Jiazhao
    Di, Yupeng
    Xiao, Jiajia
    Ma, Jianke
    Wu, Zimiao
    FRONTIERS IN ENDOCRINOLOGY, 2025, 16
  • [36] The role of lymph node resection in ovarian cancer: analysis of the surveillance, epidemiology, and end results (SEER) database
    Rouzier, R.
    Bergzoll, C.
    Brun, J-L
    Dubernard, G.
    Selle, F.
    Uzan, S.
    Pomel, C.
    Darai, E.
    BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 2010, 117 (12) : 1451 - 1458
  • [37] Marital Status and Survival in Osteosarcoma Patients: An Analysis of the Surveillance, Epidemiology, and End Results (SEER) Database
    Qiu, Shui
    Tao, Lin
    Zhu, Yue
    MEDICAL SCIENCE MONITOR, 2019, 25 : 8190 - 8203
  • [38] Histological Characteristics and Early-Stage Diagnosis Are Associated With Better Survival in Young Patients With Epithelial Ovarian Cancer: A Retrospective Analysis Based on Surveillance Epidemiology and End Results Database
    Huang, Yue
    Ming, Xiu
    Li, Bingjie
    Li, Zhengyu
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [39] A prognostic nomogram based on log odds of positive lymph nodes to predict the overall survival in biliary neuroendocrine neoplasms (NENs) patients after surgery
    S. Jiang
    F. Yang
    L. Zhang
    X. Sang
    X. Lu
    Y. Zheng
    Y. Xu
    Journal of Endocrinological Investigation, 2022, 45 : 2341 - 2351
  • [40] A prognostic nomogram based on log odds of positive lymph nodes to predict the overall survival in biliary neuroendocrine neoplasms (NENs) patients after surgery
    Jiang, S.
    Yang, F.
    Zhang, L.
    Sang, X.
    Lu, X.
    Zheng, Y.
    Xu, Y.
    JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION, 2022, 45 (12) : 2341 - 2351