Value of Pretreatment Inflammation-nutrition Score to Predict Non-response to Neoadjuvant Chemotherapy in Locally Advanced Rectal Cancer

IF 3 3区 医学 Q2 ENVIRONMENTAL SCIENCES Biomedical and Environmental Sciences Pub Date : 2023-10-01 DOI:10.3967/bes2023.121
Guo Chao ZHANG , Yan Yan XU , Ying Chao WU , Nuo CHENG , Rui LIAN , Xin WANG
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Abstract

Objective

To investigate the value of pretreatment inflammatory-nutritional biomarkers in predicting the pathological response of locally advanced rectal cancer (LARC) after neoadjuvant chemotherapy (nCT).

Methods

This retrospective study included eligible participants who underwent nCT followed by radical surgery. Pretreatment inflammatory nutritional biomarkers were calculated within one week prior to nCT. Correlations between biomarkers and pathological responses were analyzed. The cut-off values of the pretreatment biomarkers for predicting non-response were determined using receiver operating characteristic (ROC) curve analysis. The inflammation-nutrition score was calculated using the lymphocyte level, neutrophil-to-lymphocyte ratio (NLR), and prognostic nutritional index (PNI).

Results

A total of 235 patients were retrospectively recruited between January 2017 and September 2022. Lower lymphocyte levels, lymphocyte monocyte ratio (LMR), and PNI, and higher NLR and platelet-to-lymphocyte ratio (PLR) were observed in patients without response. Multivariate logistic regression analysis revealed that NLR could independently predict non-response to nCT in patients with LARC. The sensitivity and specificity of the inflammation-nutrition score for predicting nonresponse were 71.2% and 61.7%, respectively.

Conclusion

The pretreatment inflammation-nutrition score is a practical parameter for predicting nonresponse to nCT in patients with LARC. Patients with high scores were more likely to respond poorly to nCT.

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预处理炎症营养评分预测局部晚期癌症新辅助化疗无反应的价值。
目的:探讨前处理炎症营养生物标志物在预测新辅助化疗(nCT)后局部晚期癌症(LARC)病理反应中的价值。在nCT前一周内计算预处理炎症营养生物标志物。分析了生物标志物与病理反应之间的相关性。使用受试者操作特征(ROC)曲线分析确定用于预测无反应的预处理生物标志物的截止值。使用淋巴细胞水平、中性粒细胞与淋巴细胞比率(NLR)和预后营养指数(PNI)计算炎症营养评分。结果:2017年1月至2022年9月,共有235名患者被回顾性招募。在没有反应的患者中观察到较低的淋巴细胞水平、淋巴细胞-单核细胞比率(LMR)和PNI,以及较高的NLR和血小板-淋巴细胞比率(PLR)。多元逻辑回归分析显示,NLR可以独立预测LARC患者对nCT的无反应。炎症营养评分预测无反应的敏感性和特异性分别为71.2%和61.7%。结论:治疗前炎症营养评分是预测LARC患者对nCT无反应的实用参数。得分高的患者更有可能对nCT反应不佳。
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来源期刊
Biomedical and Environmental Sciences
Biomedical and Environmental Sciences 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
2.60
自引率
8.60%
发文量
2170
审稿时长
1.0 months
期刊介绍: Biomedical and Environmental Sciences (BES) is a peer-reviewed journal jointly established by the Chinese Center for Disease Control and Prevention (China CDC) and the Coulston International Corporation (CIC), USA in 1988, and is published monthly by Elsevier. It is indexed by SCI, PubMed, and CA. Topics covered by BES include infectious disease prevention, chronic and non-communicable disease prevention, disease control based on preventive medicine, and public health theories. It also focuses on the health impacts of environmental factors in people''s daily lives and work, including air quality, occupational hazards, and radiation hazards. Article types considered for publication include original articles, letters to the editor, reviews, research highlights, and policy forum.
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