The clinical impact of the Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score on breast cancer patients survival.

Authors

null

Nami Yamashita

Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

Nami Yamashita , Yuka Inoue , Kimihiro Tanaka , Hiroshi Saeki , Eiji Oki , Eriko Tokunaga , Yoshihiko Maehara

Organizations

Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, Department of Breast Oncology, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan

Research Funding

Other

Background: Recent reports show that the preoperative immunonutritional status correlate with the survival rate in cancer patients. The Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score are used as screening tools for immunonutritional status and reported to be a predictor of postoperative recurrence in patients with various gastrointestinal cancers. However, the clinical importance of the PNI and CONUT in breast cancer has not been elucidated. The aim of this study is to investigate the clinical impact of preoperative PNI and CONUT on long-term survival of breast cancer patients. Methods: We retrospectively analyzed 653 consecutive stage I-III breast cancer patients who were treated from January 2002 to December 2013. The PNI score was calculated as 10 x serum albumin (g/dl) + 0.005 x total lymphocyte count (per mm3). The CONUT score is calculated from three parameters, serum albumin, cholesterol, and total lymphocytes count. The patients were divided into two groups according to the PNI and CONUT score. The uni- and multivariate Cox regression analyses were performed to evaluate the prognositic value of the PNI and CONUT in breast cancer. Results: The malnutritional status was observed in 170 (26%) and 131 (20%) patients as low-PNI and high-CONUT, respectively. The relapse-free survival (RFS) and overall survival (OS) rates were significantly lower in the low-PNI group (RFS: p < 0.0001, OS: p < 0.0001) and high-CONUT group (RFS: p = 0.0009, OS: p = 0.0018). In the multivariate analysis, low-PNI was independent prognostic factors for both RFS and OS (RFS: HR2.33, p = 0.032, OS: HR5.01, p = 0.0009). In the subset analysis, the low-PNI group showed poor prognosis especially in the postmenopausal, hormone receptor negative patients. The low-PNI also had poorer prognosis in post-recurrence survival. Conclusions: The preoperative PNI is a strong independent predictor of long-term survival among breast cancer patients.

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Abstract Details

Meeting

2017 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Cancer Prevention, Genetics, and Epidemiology

Track

Prevention, Risk Reduction, and Genetics

Sub Track

Etiology/Epidemiology

Citation

J Clin Oncol 35, 2017 (suppl; abstr 1560)

DOI

10.1200/JCO.2017.35.15_suppl.1560

Abstract #

1560

Poster Bd #

218

Abstract Disclosures

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