Predicting breast cancer prognosis using PR and PIK3CA biomarkers: a comparative analysis of diagnostic groups
Abstract Purpose To evaluate the prognostic significance of progesterone receptor (PR) expression and the PIK3CA mutation status in HR+/HER2 − breast cancer patients, with the goal of screening patients who may derive the greatest benefit from PI3K-targeted therapy. Methods A retrospective analysis...
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BMC
2025-01-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-025-13449-w |
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| author | Yuting Feng Qingzhen Song Lei Yan Ruoqi Li Mengqin Yang Peng Bu Jing Lian |
| author_facet | Yuting Feng Qingzhen Song Lei Yan Ruoqi Li Mengqin Yang Peng Bu Jing Lian |
| author_sort | Yuting Feng |
| collection | DOAJ |
| description | Abstract Purpose To evaluate the prognostic significance of progesterone receptor (PR) expression and the PIK3CA mutation status in HR+/HER2 − breast cancer patients, with the goal of screening patients who may derive the greatest benefit from PI3K-targeted therapy. Methods A retrospective analysis was conducted on 152 HR+/HER2 − breast cancer patients stratified by PR expression levels and PIK3CA mutation status. The study population was divided into groups on the basis of a median PR threshold of 50% and further subdivided by PIK3CA mutation status. To evaluate the variability of clinicopathologic features among these groups, t tests and ANOVA were employed. The influence of these variables on survival was analyzed via Cox regression. Additionally, a risk prediction model was developed using the PR expression level and PIK3CA mutation status. The prognostic utility of this model was examined via both Kaplan‒Meier (KM) survival curves and receiver operating characteristic (ROC) analyses. These methods have also been utilized to explore the associations between clinicopathologic parameters and clinical outcomes with respect to survival prediction and prognosis. Results Significant differences in age, ER expression, and Ki67, HER2, and PIK3CA mutation status were detected between the groups (P < 0.05). Specifically, elevated PR expression was correlated with lower levels of Ki67 and low HER2 expression. The presence of a PIK3CA mutation was significantly linked to survival outcomes according to both univariate and multivariate Cox regression analyses. Moreover, ROC analysis revealed that models incorporating both PR expression and PIK3CA mutation status achieved the highest level of diagnostic precision (AUC = 0.82). Conclusion PR expression and PIK3CA mutation status are significant prognostic markers in HR+/HER2 − breast cancer patients. Assessing these biomarkers in combination can enhance prognostic stratification, potentially guiding more informed clinical decision-making. |
| format | Article |
| id | doaj-art-b3e46425d71447b0af55d08bf4cfa451 |
| institution | Kabale University |
| issn | 1471-2407 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj-art-b3e46425d71447b0af55d08bf4cfa4512025-01-19T12:26:40ZengBMCBMC Cancer1471-24072025-01-0125111410.1186/s12885-025-13449-wPredicting breast cancer prognosis using PR and PIK3CA biomarkers: a comparative analysis of diagnostic groupsYuting Feng0Qingzhen Song1Lei Yan2Ruoqi Li3Mengqin Yang4Peng Bu5Jing Lian6Department of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical UniversityDepartment of General Medicine, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical UniversityDepartment of Biomedical Engineering, Johns Hopkins University School of MedicineDepartment of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing UniversitySchool of Basic Medicine, Shanxi Medical UniversityDepartment of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical UniversityDepartment of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical UniversityAbstract Purpose To evaluate the prognostic significance of progesterone receptor (PR) expression and the PIK3CA mutation status in HR+/HER2 − breast cancer patients, with the goal of screening patients who may derive the greatest benefit from PI3K-targeted therapy. Methods A retrospective analysis was conducted on 152 HR+/HER2 − breast cancer patients stratified by PR expression levels and PIK3CA mutation status. The study population was divided into groups on the basis of a median PR threshold of 50% and further subdivided by PIK3CA mutation status. To evaluate the variability of clinicopathologic features among these groups, t tests and ANOVA were employed. The influence of these variables on survival was analyzed via Cox regression. Additionally, a risk prediction model was developed using the PR expression level and PIK3CA mutation status. The prognostic utility of this model was examined via both Kaplan‒Meier (KM) survival curves and receiver operating characteristic (ROC) analyses. These methods have also been utilized to explore the associations between clinicopathologic parameters and clinical outcomes with respect to survival prediction and prognosis. Results Significant differences in age, ER expression, and Ki67, HER2, and PIK3CA mutation status were detected between the groups (P < 0.05). Specifically, elevated PR expression was correlated with lower levels of Ki67 and low HER2 expression. The presence of a PIK3CA mutation was significantly linked to survival outcomes according to both univariate and multivariate Cox regression analyses. Moreover, ROC analysis revealed that models incorporating both PR expression and PIK3CA mutation status achieved the highest level of diagnostic precision (AUC = 0.82). Conclusion PR expression and PIK3CA mutation status are significant prognostic markers in HR+/HER2 − breast cancer patients. Assessing these biomarkers in combination can enhance prognostic stratification, potentially guiding more informed clinical decision-making.https://doi.org/10.1186/s12885-025-13449-wBreast cancerPrognosisPRPIK3CAPersonalized treatment |
| spellingShingle | Yuting Feng Qingzhen Song Lei Yan Ruoqi Li Mengqin Yang Peng Bu Jing Lian Predicting breast cancer prognosis using PR and PIK3CA biomarkers: a comparative analysis of diagnostic groups BMC Cancer Breast cancer Prognosis PR PIK3CA Personalized treatment |
| title | Predicting breast cancer prognosis using PR and PIK3CA biomarkers: a comparative analysis of diagnostic groups |
| title_full | Predicting breast cancer prognosis using PR and PIK3CA biomarkers: a comparative analysis of diagnostic groups |
| title_fullStr | Predicting breast cancer prognosis using PR and PIK3CA biomarkers: a comparative analysis of diagnostic groups |
| title_full_unstemmed | Predicting breast cancer prognosis using PR and PIK3CA biomarkers: a comparative analysis of diagnostic groups |
| title_short | Predicting breast cancer prognosis using PR and PIK3CA biomarkers: a comparative analysis of diagnostic groups |
| title_sort | predicting breast cancer prognosis using pr and pik3ca biomarkers a comparative analysis of diagnostic groups |
| topic | Breast cancer Prognosis PR PIK3CA Personalized treatment |
| url | https://doi.org/10.1186/s12885-025-13449-w |
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