Prediction of Treatment Response Based on Nutritional Status and Tumor Immunity in Oropharyngeal Cancer Patients Treated With Chemoradiotherapy

Overview

Journal Cancer Diagn Progn

Specialty Oncology

Date 2024 Nov 6

PMID 39502617

Authors

Mio Kitagawa

Juno Kaguchi

Masanori Someya

Yuki Fukushima

Tomokazu Hasegawa

Takaaki Tsuchiya

Toshio Gocho

Shoh Mafune

Yutaro Ikeuchi

Ryu Okuda

Atsuya Ohguro

Ryo Kamiyama

Ayato Ashina

Yuka Toshima

Yoshihiko Hirohashi

Toshihiko Torigoe

Koh-Ichi Sakata

Affiliations

Soon will be listed here.

Abstract

Background/aim: Radiotherapy (RT) for advanced oropharyngeal cancer (OPC) is effective, especially when combined with chemotherapy (CRT). However, its success can vary depending on factors, such as tumor stage, HPV infection (p16 status), and the patient's nutritional and immune status. This study examined the controlling nutritional status (CONUT) score and tumor immunity as predictive factors for treatment outcomes in OPC, aiming to develop a personalized risk score.

Patients And Methods: A retrospective analysis was conducted on 84 patients with OPC treated with definitive RT or CRT, and survival outcomes were compared based on various factors, including BMI, CONUT score, CD8 expression, and HLA class II expression.

Results: We observed better overall survival (OS) rates in CD8-positive patients and those with higher HLA class II expression. The univariate analysis identified stage, p16 status, BMI, CONUT score, and CD8 expression as significantly associated with OS. In multivariate analysis, stage, BMI, and CONUT score remained significant predictors of OS. A risk scoring system was developed based on stage, p16 status, BMI, CONUT score, and CD8 expression. Patients were categorized into low-risk and high-risk groups, with significantly better survival in the low-risk group.

Conclusion: A combined risk score incorporating clinical, nutritional, and immune factors can improve the prediction of treatment outcomes for OPC patients. This risk stratification may enable personalized treatment plans and improve ΟS rates.

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