Development and validation of a nomogram to predict survival after neoadjuvant chemotherapy in elderly women with triple-negative invasive ductal breast cancer
Year: 2025
Type: article
Study design: Observational Study
Abstract: OBJECTIVES: To construct and verify a nomogram for post-neoadjuvant chemotherapy survival predication in elderly women with triple-negative invasive ductal breast cancer. METHODS: Elderly patients diagnosed as triple-negative invasive ductal breast cancer between 2019-2000 were screened from surveillance, epidemiology, and end results database. Depending on the post-neoadjuvant chemotherapy pathological response, they were assigned to the complete or non-complete response group. Inter-group clinicopathological characteristics and disease-specific and overall survivals were compared. Then, they were allocated randomly into the training or validation cohort. A prediction nomogram was developed in the training cohort and verified in the validation cohort. RESULTS: <0.001). The training cohort included 196 patients and the validation cohort included 82 patients. A total of 7 variables (age, race, tumor location, tumor-node-metastasis stage, summary stage, receipt of surgery, and response to neoadjuvant chemotherapy) were integrated to construct a survival prediction nomogram. The C-indexes were 0.756 in the training cohort and 0.791 in the validation cohort. In both cohorts, the predicted survival showed satisfactory coherence with the actual survival in the calibration curve analysis. CONCLUSION: In elderly women with triple-negative invasive ductal breast cancer, post-neoadjuvant chemotherapy pathological complete response could indicate improved disease-specific survival. A novel survival prediction nomogram was created to have satisfactory performance in these patients.
Source: Saudi Medical Journal
Authors: Ying Gao, Jinmiao Wang, Shoujun Wang, Weijie Tao, Ran Duan, Jie Hao, Ming Gao
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: diamond
Funder: Strong
OpenAlex ID: W4406181259
