Preoperative PIV and HALP: Correlation with Breast Cancer Pathology and Predictive Value for Microsatellite Status

Abstract

Breast cancer is a leading malignancy in women. Understanding its clinicopathological traits and microsatellite status is vital for prognosis and treatment planning. This study explored the links between preoperative pan-immune-inflammation value (PIV) and hemoglobin, albumin, lymphocyte, and platelet (HALP) score with breast cancer’s pathological features and microsatellite status and assessed their predictive power for the latter.

This retrospective study analyzed data from 260 breast cancer patients who had surgery between 2022 and 2025. Researchers not involved in the patients’ treatment collected and analyzed the data. HALP and PIV were calculated from preoperative blood tests. Patients were grouped based on the median values of these scores. Associations between the scores and clinicopathological characteristics were examined. Patients were also divided into microsatellite stable (MSS) and microsatellite instability-high (MSI-H) groups, and differences in HALP and PIV between these groups were compared. Receiver operating characteristic curves were used to evaluate the predictive accuracy of HALP and PIV for microsatellite status.

High PIV was linked to younger age and lower ER positivity. High HALP correlated with older age, a higher proportion of clinical stage I patients, and lower HER2 positivity. MSS patients had lower PIV and higher HALP than MSI-H patients. PIV and HALP showed significant correlations with microsatellite status. Both indicators had high AUC values (PIV: 0.867; HALP: 0.879), with 100% sensitivity, indicating strong predictive capabilities.

Preoperative PIV and HALP are closely tied to breast cancer’s pathological features and microsatellite status. They offer high predictive value for microsatellite status, aiding in breast cancer diagnosis and treatment decisions.