Predictive markers of rapid disease progression and chemotherapy resistance in triple-negative breast cancer patients following postoperative adjuvant therapy
Abstract Triple-negative breast cancer (TNBC) is a diverse category with a subset that displays particularly aggressive characteristics, referred to in this study as “rapid relapse” TNBC (rrTNBC). This term is defined as the occurrence of distant metastasis or death within 24 months post-diagnosis....
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84785-3 |
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| author | Tao Ma Xiao-meng Hao Hong-dan Chen Min-hui Zheng Xiao-geng Chen Shuang-Long Cai Jin Zhang |
| author_facet | Tao Ma Xiao-meng Hao Hong-dan Chen Min-hui Zheng Xiao-geng Chen Shuang-Long Cai Jin Zhang |
| author_sort | Tao Ma |
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| description | Abstract Triple-negative breast cancer (TNBC) is a diverse category with a subset that displays particularly aggressive characteristics, referred to in this study as “rapid relapse” TNBC (rrTNBC). This term is defined as the occurrence of distant metastasis or death within 24 months post-diagnosis. The paper mainly studies the clinicopathologic traits of TNBC patients experiencing rapid disease progression and chemotherapy resistance and identify predictive markers for this outcome. A retrospective evaluation was conducted on 2294 TNBC patients who underwent surgery at Tianjin Medical University Cancer Hospital. Of these, 369 were categorized as experiencing rapid relapse, while 1925 did not relapse rapidly. Logistic regression analysis was applied to determine potential markers predictive of rapid relapse post-chemotherapy. Both univariate and multivariate logistic regression analyses pinpointed several predictors of rapid relapse in TNBC patients post-chemotherapy. These include age at diagnosis (≥ 50 years, OR = 0.413, 95% CI: 0.289–0.590), postoperative pathological T staging (T2, OR = 2.557, 95% CI: 1.766–3.703; T3 + T4, OR = 3.725, 95% CI: 1.355–10.454), and N staging (N1, OR = 3.056, 95% CI: 2.021–4.619; N2, OR = 6.917, 95% CI: 3.920–12.206; N3, OR = 24.597, 95% CI: 11.875–50.948). Additionally, sTIL expression (intermediate, OR = 0.204, 95% CI: 0.139–0.300; high, OR = 0.020, 95% CI: 0.011–0.035) and Her2 expression (Her2 1+, OR = 0.470, 95% CI: 0.321–0.688) were identified as protective indicators against rapid relapse. A predictive model incorporating these predictors yielded a C-index of 0.898 in the training set and 0.938 in the validation set, with respective Brier scores of 0.079 and 0.073. The study successfully established and validated a predictive model for rapid disease progression and chemotherapy resistance in TNBC patients post-chemotherapy, demonstrating robust discrimination and accuracy. |
| format | Article |
| id | doaj-art-5cb28a162d4f44edb5c7f97024bde9d2 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-5cb28a162d4f44edb5c7f97024bde9d22025-01-05T12:16:08ZengNature PortfolioScientific Reports2045-23222025-01-0115111610.1038/s41598-024-84785-3Predictive markers of rapid disease progression and chemotherapy resistance in triple-negative breast cancer patients following postoperative adjuvant therapyTao Ma0Xiao-meng Hao1Hong-dan Chen2Min-hui Zheng3Xiao-geng Chen4Shuang-Long Cai5Jin Zhang6The Third Department of Breast Cancer, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for CancerThe Third Department of Breast Cancer, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for CancerFirst Department of Cadre Clinic, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial HospitalOral and Maxillofacial Surgery Thyroid and Hernia Surgery, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial HospitalDepartment of Breast Surgery, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial HospitalDepartment of Breast Surgery, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial HospitalThe Third Department of Breast Cancer, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for CancerAbstract Triple-negative breast cancer (TNBC) is a diverse category with a subset that displays particularly aggressive characteristics, referred to in this study as “rapid relapse” TNBC (rrTNBC). This term is defined as the occurrence of distant metastasis or death within 24 months post-diagnosis. The paper mainly studies the clinicopathologic traits of TNBC patients experiencing rapid disease progression and chemotherapy resistance and identify predictive markers for this outcome. A retrospective evaluation was conducted on 2294 TNBC patients who underwent surgery at Tianjin Medical University Cancer Hospital. Of these, 369 were categorized as experiencing rapid relapse, while 1925 did not relapse rapidly. Logistic regression analysis was applied to determine potential markers predictive of rapid relapse post-chemotherapy. Both univariate and multivariate logistic regression analyses pinpointed several predictors of rapid relapse in TNBC patients post-chemotherapy. These include age at diagnosis (≥ 50 years, OR = 0.413, 95% CI: 0.289–0.590), postoperative pathological T staging (T2, OR = 2.557, 95% CI: 1.766–3.703; T3 + T4, OR = 3.725, 95% CI: 1.355–10.454), and N staging (N1, OR = 3.056, 95% CI: 2.021–4.619; N2, OR = 6.917, 95% CI: 3.920–12.206; N3, OR = 24.597, 95% CI: 11.875–50.948). Additionally, sTIL expression (intermediate, OR = 0.204, 95% CI: 0.139–0.300; high, OR = 0.020, 95% CI: 0.011–0.035) and Her2 expression (Her2 1+, OR = 0.470, 95% CI: 0.321–0.688) were identified as protective indicators against rapid relapse. A predictive model incorporating these predictors yielded a C-index of 0.898 in the training set and 0.938 in the validation set, with respective Brier scores of 0.079 and 0.073. The study successfully established and validated a predictive model for rapid disease progression and chemotherapy resistance in TNBC patients post-chemotherapy, demonstrating robust discrimination and accuracy.https://doi.org/10.1038/s41598-024-84785-3Triple-negative breast cancerPostoperative adjuvant therapyRapid disease progressionChemotherapy resistancePredictive markers |
| spellingShingle | Tao Ma Xiao-meng Hao Hong-dan Chen Min-hui Zheng Xiao-geng Chen Shuang-Long Cai Jin Zhang Predictive markers of rapid disease progression and chemotherapy resistance in triple-negative breast cancer patients following postoperative adjuvant therapy Scientific Reports Triple-negative breast cancer Postoperative adjuvant therapy Rapid disease progression Chemotherapy resistance Predictive markers |
| title | Predictive markers of rapid disease progression and chemotherapy resistance in triple-negative breast cancer patients following postoperative adjuvant therapy |
| title_full | Predictive markers of rapid disease progression and chemotherapy resistance in triple-negative breast cancer patients following postoperative adjuvant therapy |
| title_fullStr | Predictive markers of rapid disease progression and chemotherapy resistance in triple-negative breast cancer patients following postoperative adjuvant therapy |
| title_full_unstemmed | Predictive markers of rapid disease progression and chemotherapy resistance in triple-negative breast cancer patients following postoperative adjuvant therapy |
| title_short | Predictive markers of rapid disease progression and chemotherapy resistance in triple-negative breast cancer patients following postoperative adjuvant therapy |
| title_sort | predictive markers of rapid disease progression and chemotherapy resistance in triple negative breast cancer patients following postoperative adjuvant therapy |
| topic | Triple-negative breast cancer Postoperative adjuvant therapy Rapid disease progression Chemotherapy resistance Predictive markers |
| url | https://doi.org/10.1038/s41598-024-84785-3 |
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