Abstract PS6-57: Association of the prognostic nutritional index and survival of patients with breast cancer in a third-level care hospital in Mexico

• Published in: Cancer research (Chicago, Ill.) Ill.), 2021-02, Vol.81 (4_Supplement), p.PS6-57-PS6-57
• Main Authors: Soberanis-Piña, Pamela Denisse, Varela-Santoyo, Edgar, Arroyave-Ramirez, Andres Mauricio, Buerba-Vieregge, Hector Hugo, Motola-Kuba, Daniel
• Format: Article
• Language: English
• ISSN: 0008-5472; 1538-7445
• DOI: 10.1158/1538-7445.SABCS20-PS6-57

Introduction. The prognostic nutritional index (PNI) is a convenient and accessible tool that reflects the nutritional and immunological conditions of patients with solid tumors. PNI is calculated based on the total lymphocyte count and serum albumin level. There is not an optimal well established cutoff value. Low PNI has been associated with lower overall and disease-free survival (OS and DFS) in breast cancer patients, however, there is no information regarding this prognostic value in patients from Mexico. The aim of this study was to analyze the association between PNI and survival of breast cancer patients from Mexico. Methods. We retrospectively analyzed medical records of patients with histologically confirmed breast cancer treated at Medica Sur Oncology Center in Mexico City between January 2008 to December 2019. PNI was calculated using the following formula: 10 × serum albumin value (g/dL) + 0.005 × total lymphocyte count (mm3). Receiver operating characteristic (ROC) curve analysis was performed to determine the optimal PNI cutoff value. The primary endpoint was OS. The secondary endpoint was DFS. Statistical analysis was performed with SPSS v25, the associations between PNI and clinicopathologic characteristics were analyzed using Pearson's χ2 test, survival curves were calculated with Kaplan-Meier method, and comparison among groups with log-rank. Proportional Cox model was used to perform multivariate analysis. A p value