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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Correlation Between Clinical-Pathologic Factors and Long-Term Follow-Up in Young Breast Cancer Patients
Yue Zhao1, Xiaoqiu Dong2, Rongguo Li1
1Department of Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Objective:
Diagnosis of breast cancer in young patients (≤35) correlates with a worse prognosis compared to their older counterparts (>35). The aim of this study is to evaluate the relevance of clinical-pathologic factors and prognosis in young (≤35) breast cancer patients.
Methods:
One hundred thirty-two patients of operable breast cancer who were younger than 35 are analyzed in this study. They were treated in our hospital between January 2006 and December 2012. Patients are classified into four molecular subtypes based on the immunohistochemical profiles of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki-67. Clinical and pathologic factors have been combined to define a specific classification of three risk levels to evaluate the prognosis of these young women.
Results:
Patients whose ages are less than 30 have poorer prognosis than patients whose ages are between 31 and 35. The status of lymph nodes post-surgery seems to be the only factor related to patient age in young patients. The patients in level of ER+ or PR+ and HER2-/+ status have the worst prognosis in hormone receptor-positive breast cancer. Group 3 in risk factor grouping has the poorer prognosis than the other two groups.
Conclusions:
Patient age and axillary lymph nodes post-surgery are the independent and significant predictors of distant disease-free survival, local recurrence-free survival, and overall survival. The absence of PR relates to poor prognosis. The risk factor grouping provides a useful index to evaluate the risk of young breast cancer to identify subgroups of patients with a better prognosis.
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