Related Experiment Video
Updated: May 5, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Clinical features and survival analysis of very young (age<35) breast cancer patients
Xue-Qing Wei1, Xing Li, Xiao-Jie Xin
1Department of Ultrasonic Diagnosis and Treatment, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
Objectives:
To compare the clinicalpathological features and prognosis between premenopausal breast cancer patients aged of <35 and ≥35 years old.
Methods:
The clinical data and survival status of 1498 cases premenopausal operable breast cancer treated in our hospital from 2002.1 to 2004. 12 were collected, 118 cases were aged <35. They were divided into 4 groups: Luminal A, Luminal B, HER2-positive, Triple-negative. The disease free survival (DFS) and overall survival (OS) were identified.
Results:
The 5-year DFS and OS rates were significantly lower in age<35 than in age≥35 patients. In the Luminal B, HER2-positive, Triple-negative group, the 5-year recurrence risk was higher in age<35 than in age≥35 patients, and age<35 patients' 5-year death risk was higher only in Luminal B, Triple-negative group. Regardless of whether lymph node involved, age<35 patients had a bad prognosis in both DFS and OS.
Conclusions:
Compared with premenopausal age ≥35 breast cancer, age<35 patients had a worse outcome.
More Related Videos
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Related Concept Videos
Cancer Survival Analysis
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Comparing the Survival Analysis of Two or More Groups
Kaplan-Meier Approach
Treatment Resistant Cancers
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...