共 50 条
Pretreatment Inflammatory-Nutritional Biomarkers Predict Responses to Neoadjuvant Chemoradiotherapy and Survival in Locally Advanced Rectal Cancer
被引:26
|作者:
Wang, Yijun
[1
]
Chen, Lejun
[1
]
Zhang, Biyun
[1
]
Song, Wei
[1
]
Zhou, Guowei
[2
]
Xie, Ling
[3
]
Yu, Dahai
[1
]
机构:
[1] Nanjing Univ Chinese Med, Jiangsu Prov Hosp Chinese Med, Dept Radiat Oncol, Affiliated Hosp, Nanjing, Peoples R China
[2] Nanjing Univ Chinese Med, Jiangsu Prov Hosp Chinese Med, Dept Gen Surg, Affiliated Hosp, Nanjing, Peoples R China
[3] Nanjing Univ Chinese Med, Jiangsu Prov Hosp Chinese Med, Dept Pathol, Affiliated Hosp, Nanjing, Peoples R China
来源:
关键词:
rectal cancer;
prognostic nutritional index;
systemic inflammatory response;
pathological response;
survival;
DISEASE-FREE SURVIVAL;
MARKERS;
STAGE;
D O I:
10.3389/fonc.2021.639909
中图分类号:
R73 [肿瘤学];
学科分类号:
100214 ;
摘要:
Background To evaluate the value of pretreatment inflammatory-nutritional biomarkers in predicting responses to neoadjuvant chemoradiotherapy (nCRT) and survival in patients with locally advanced rectal cancer (LARC). Methods Patients with LARC who underwent nCRT and subsequent surgery between October 2012 and December 2019 were considered for inclusion. Neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), and prognostic nutritional index (PNI) were calculated from according to routine laboratory data within 1 week prior to nCRT. The correlations between baseline inflammatory-nutritional biomarkers and responses were analyzed using Chi-square test or Fisher's exact test, and multivariate logistic regression analysis was performed to identify the independent predictors of pathological responses to nCRT. Univariate and multivariate Cox proportional hazard models were used to assess the correlations of predictors with disease-free survival (DFS) and overall survival (OS). Results A total of 273 patients with LARC were enrolled in this study. Higher LMR and PNI were observed in the good-response group, meanwhile higher NLR and PLR were observed in the poor-response group. Multivariate logistic regression analysis results revealed that PLR and PNI independently predicted responses to nCRT. Multivariable Cox regression analysis determined that PNI was an independent predictor of DFS and OS in patients with LARC. The value of pretreatment PNI in predicting responses and survival was continuously superior to those of NLR, PLR, and LMR. The optimal cutoff value of the PNI was approximate 45. Subgroup analyses indicated that the pathological responses and survival in the high PNI group (>= 45) were significantly better than those in the low PNI group (< 45), especially in patients with clinical stage III rectal cancer. Conclusion The pretreatment PNI can serve as a promising predictor of response to nCRT and survival in patients with LACR, which is superior to NLR, PLR, and LMR, and the patients with clinical stage III rectal cancer who have a higher PNI are more likely to benefit from nCRT.
引用
收藏
页数:11
相关论文