Overall Survival and Prognostic Factors in Metastatic Triple-Negative Breast Cancer: A National Cancer Database Analysis

被引:3
|
作者
Kesireddy, Meghana [1 ]
Elsayed, Lina [1 ]
Shostrom, Valerie K. [2 ]
Agarwal, Priyal [1 ]
Asif, Samia [1 ]
Yellala, Amulya [1 ]
Krishnamurthy, Jairam [1 ]
机构
[1] Univ Nebraska Med Ctr, Dept Internal Med, Div Hematol & Med Oncol, Omaha, NE 68198 USA
[2] Univ Nebraska Med Ctr, Dept Biostat, Omaha, NE 68198 USA
关键词
metastatic triple-negative breast cancer; overall survival; prognostic factors; national cancer database; demographic factors; clinicopathological factors; treatment factors; cox proportional hazard model; multivariate analysis; OUTCOMES; EXPRESSION; PHENOTYPE; TRIAL;
D O I
10.3390/cancers16101791
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Metastatic triple-negative breast cancer is an aggressive cancer with an average survival of 8 to 13 months. However, survival varies significantly among patients. We studied a large group of women in the National Cancer Database to better understand these survival differences. We found that the key factors influencing survival were comorbidity score (overall health status), histology (cancer subtype), number of metastatic sites (extent of cancer spread), and whether or not they received chemotherapy or immunotherapy. Our study's findings can help better predict survival based on an individual's specific factors and guide treatment strategies.Abstract Background: Metastatic triple-negative breast cancer (TNBC) is aggressive with poor median overall survival (OS) ranging from 8 to 13 months. There exists considerable heterogeneity in survival at the individual patient level. To better understand the survival heterogeneity and improve risk stratification, our study aims to identify the factors influencing survival, utilizing a large patient sample from the National Cancer Database (NCDB). Methods: Women diagnosed with metastatic TNBC from 2010 to 2020 in the NCDB were included. Demographic, clinicopathological, and treatment data and overall survival (OS) outcomes were collected. Kaplan-Meier curves were used to estimate OS. The log-rank test was used to identify OS differences between groups for each variable in the univariate analysis. For the multivariate analysis, the Cox proportional hazard model with backward elimination was used to identify factors affecting OS. Adjusted hazard ratios and 95% confidence intervals are presented. Results: In this sample, 2273 women had a median overall survival of 13.6 months. Factors associated with statistically significantly worse OS included older age, higher comorbidity scores, specific histologies, higher number of metastatic sites, presence of liver or other site metastases in those with only one metastatic site (excluding brain metastases), presence of cranial and extra-cranial metastases, lack of chemotherapy, lack of immunotherapy, lack of surgery to distant sites, lack of radiation to distant sites, and receipt of palliative treatment to alleviate symptoms. In the multivariate analysis, comorbidity score, histology, number of metastatic sites, immunotherapy, and chemotherapy had a statistically significant effect on OS. Conclusions: Through NCDB analysis, we have identified prognostic factors for metastatic TNBC. These findings will help individualize prognostication at diagnosis, optimize treatment strategies, and facilitate patient stratification in future clinical trials.
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页数:13
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