Development and Validation of a Prognostic Nomogram Based on the Log Odds of Positive Lymph Nodes (LODDS) for Breast Cancer

Overview

Journal Oncotarget

Specialty Oncology

Date 2016 Mar 19

PMID 26992235

Citations 29

Authors

Jiahuai Wen

Feng Ye

Xiaofang He

Shuaijie Li

Xiaojia Huang

Xiangsheng Xiao

Xiaoming Xie

Affiliations

Soon will be listed here.

Abstract

Background: To evaluate the prognostic effect of log odds of positive lymph nodes (LODDS) and develop a nomogram for survival prediction in breast cancer patients at the time of surgery.

Results: LODDS was an independent risk factor for cancer-related death in breast cancer (hazard ratio: 1.582, 95%CI: 1.190-2.104). Menopausal status, tumor size, pathological lymph node staging, estrogen receptor status and human epidermal growth factor receptor-2 status were also included in the nomogram. The calibration plots indicated optimal agreement between the nomogram prediction and actual observation. Discrimination of nomogram was superior to the seventh edition TNM staging system [C-index: 0.745 vs. 0.721 (p = 0.03) in training cohort; 0.796 vs. 0.726 (p < 0.01) in validation cohort].

Methods: We retrospectively evaluated 2023 breast cancer patients from Jan 2002 to Dec 2008 at our center. The cohort was randomly divided into training cohort and validation cohort. Univariate and multivariate analyses were performed to identify prognostic factors, and nomogram was established using Cox regression model in training cohort. External validation of the nomogram was performed in the validation cohort.

Conclusions: The LODDS is an independent prognostic indicator in breast cancer and the novel nomogram can provide individual prediction of cancer-specific survival and help prognostic assessment for breast cancer patients.

Citing Articles

Log odds of positive lymph nodes (LODDS)-based novel nomogram for survival estimation in patients with invasive micropapillary carcinoma of the breast.

Meng X, Hao F, Wang N, Qin P, Ju Z, Sun D BMC Med Res Methodol. 2024; 24(1):90.

PMID: 38637725 PMC: 11025266. DOI: 10.1186/s12874-024-02218-1.

Nomogram incorporating log odds of positive lymph nodes improves prognostic prediction for ovarian serous carcinoma: a real-world retrospective cohort study.

Zhang S, Liu X, Li Q, Pan Y, Tian Y, Gu X BMJ Open. 2023; 13(10):e074206.

PMID: 37865413 PMC: 10603516. DOI: 10.1136/bmjopen-2023-074206.

Developing and validating a prognostic nomogram for ovarian clear cell carcinoma patients: A retrospective comparison of lymph node staging schemes with competing risk analysis.

Li Y, Xiu L, Ma M, Seery S, Lou X, Li K Front Oncol. 2022; 12:940601.

PMID: 36439411 PMC: 9682100. DOI: 10.3389/fonc.2022.940601.

A Nomogram Based on SEER Database for Predicting Prognosis in Patients with Mucinous Ovarian Cancer: A Real-World Study.

Zhang K, Feng S, Ge Y, Ding B, Shen Y Int J Womens Health. 2022; 14:931-943.

PMID: 35924098 PMC: 9341457. DOI: 10.2147/IJWH.S372328.

Development of a nomogram to predict prognosis in ovarian cancer: a SEER-based study.

Sun H, Yan L, Chen H, Zheng T, Zhang Y, Wang H Transl Cancer Res. 2022; 9(10):5829-5842.

PMID: 35117197 PMC: 8799304. DOI: 10.21037/tcr-20-1238.

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