AI Article Synopsis
- The study focused on the characteristics of Chinese patients with hormone receptor-positive (HR+) and HER2-low early-stage breast cancer, highlighting the increasing interest in this category due to the effectiveness of antibody-drug conjugates.
- A total of 6486 patients were analyzed, revealing a high 5-year disease-free survival rate of 92.7% and overall survival rate of 97.7%, with metastasis rates at 7.31% and mortality at 2.20%.
- A machine learning-based recurrence risk prediction model was developed, showing strong predictive ability (sensitivity 81.1%, specificity 71.7%), with critical factors for recurrence including T stage, N stage, lymphovascular thrombosis, Ki
Article Abstract
Background: In light of the significant clinical benefits of antibody-drug conjugates in clinical trials, the human epidermal growth factor receptor 2 (HER2)-low category in breast cancers has gained increasing attention. Therefore, we studied the clinicopathological characteristics of Chinese patients with hormone receptor (HR)-positive/HER2-low early-stage breast cancer and developed a recurrence risk prediction model.
Methods: Female patients with HR-positive/HER2-low early-stage breast cancer treated in 29 hospitals of the Chinese Society of Breast Surgery (CSBrS) from Jan 2015 to Dec 2016 were enrolled. Their clinicopathological data and prognostic information were collected, and machine learning methods were used to analyze the prognostic factors.
Results: In total, 25,096 patients were diagnosed with breast cancer in 29 hospitals of CSBrS from Jan 2015 to Dec 2016, and clinicopathological data for 6486 patients with HER2-low early-stage breast cancer were collected. Among them, 5629 patients (86.79%) were HR-positive. The median follow-up time was 57 months (4, 76 months); the 5-year disease-free survival (DFS) rate was 92.7%, and the 5-year overall survival (OS) rate was 97.7%. In total, 412 cases (7.31%) of metastasis were observed, and 124 (2.20%) patients died. Multivariate Cox regression analysis revealed that T stage, N stage, lymphovascular thrombosis, Ki-67 index, and prognostic stage were associated with recurrence and metastasis ( P <0.05). A recurrence risk prediction model was established using the random forest method and exhibited a sensitivity of 81.1%, specificity of 71.7%, positive predictive value of 74.1%, and negative predictive value of 79.2%.
Conclusion: Most of patients with HER2-low early-stage breast cancer were HR-positive, and patients had favorable outcome; tumor N stage, lymphovascular thrombosis, Ki-67 index, and tumor prognostic stage were prognostic factors. The HR-positive/HER2-low early-stage breast cancer recurrence prediction model established based on the random forest method has a good reference value for predicting 5-year recurrence events.
Registritation: ChiCTR.org.cn, ChiCTR2100046766.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10752477 | PMC |
| http://dx.doi.org/10.1097/CM9.0000000000002831 | DOI Listing |
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