Development of a Prognostic Model for Early Breast Cancer Integrating Neutrophil to Lymphocyte Ratio and Clinical-Pathological Characteristics.

ABSTRACT:

Background

Breast cancer-related inflammation is critical in tumorigenesis, cancer progression, and patient prognosis. Several inflammatory markers derived from peripheral blood cells count, such as the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), and systemic immune-inflammation index (SII) are considered as prognostic markers in several types of malignancy.

Methods

We investigate and validate a prognostic model in early patients with breast cancer to predict disease-free survival (DFS) based on readily available baseline clinicopathological prognostic factors and preoperative peripheral blood-derived indexes.

Results

We analyzed a training cohort of 710 patients and 2 external validation cohorts of 980 and 157

SUBMITTER: Faria SS 

PROVIDER: S-EPMC10994264 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature