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

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
Source :
Cancer Diagnosis & Prognosis; Nov/Dec2024, Vol. 4 Issue 6, p789-796, 8p
Publication Year :
2024

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 OS rates. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
27327787
Volume :
4
Issue :
6
Database :
Complementary Index
Journal :
Cancer Diagnosis & Prognosis
Publication Type :
Academic Journal
Accession number :
181999754
Full Text :
https://doi.org/10.21873/cdp.10397