The predictive value of neutrophil-to-lymphocyte ratio for overall survival and pathological complete response in breast cancer patients receiving neoadjuvant chemotherapy

被引:5
|
作者
Gao, Siming [1 ,2 ]
Tang, Wenjie [1 ]
Zuo, Bingli [3 ]
Mulvihill, Lianne [4 ]
Yu, Jinming [1 ]
Yu, Yishan [1 ]
机构
[1] Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Jinan, Shandong, Peoples R China
[2] First Hosp Hebei Med Univ, Dept Oncol, Shijiazhuang, Hebei, Peoples R China
[3] Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Dept Clin Epidemiol & Biostat, Jinan, Shandong, Peoples R China
[4] Case Western Reserve Univ, Univ Hosp Cleveland, Seidman Canc Ctr, Dept Radiat Oncol,Sch Med,Med Ctr, Cleveland, OH USA
来源
FRONTIERS IN ONCOLOGY | 2023年 / 12卷
关键词
neutrophil-to-lymphocyte ratio; neoadjuvant chemotherapy; overall survival; pathologic complete response; nomogram; breast cancer; PREOPERATIVE CHEMOTHERAPY; PROGNOSTIC VALUE; PRETREATMENT NEUTROPHIL; DISEASE; INFLAMMATION; EFFICACY;
D O I
10.3389/fonc.2022.1065606
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PurposePrevious studies have reported that neutrophil-to-lymphocyte ratio (NLR) at pre-treatment was predictive for overall survival (OS) and pathologic complete response (pCR) in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NAC). This study aims to explore the predictive role of both pre- and post-NLR for OS as well as longitudinal NLR kinetics towards pCR in BC patients undergoing NAC. MethodsWe retrospectively included 501 BC patients who received NAC from 2009 to 2018. NLR at pre-, mid (every two cycles of NAC)-, and post-treatment were collected. Overall, 421 patients were included in the survival analysis. These patients were randomly divided into a training cohort (n = 224) and a validation cohort (n = 197). A multivariable Cox model was built using all significant factors in the multivariable analysis from the training cohort. The performance of the model was verified in the validation cohort by the concordance index (C-index). Longitudinal analysis for pCR prediction of NLR was performed using a mixed-effects regression model among 176 patients who finished eight cycles of NAC. ResultsThe median follow-up time was 43.2 months for 421 patients. In the training cohort, multivariable analysis revealed that ER status, clinical node stage, pCR, pre-NLR, and post-NLR (all p < 0.05) were independent predictors of OS. The OS nomogram was established based on these parameters. The C-indexes of the nomogram were 0.764 and 0.605 in the training and validation cohorts, respectively. In the longitudinal analysis, patients who failed to achieve pCR experienced an augment of NLR during NAC while NLR remained stable among patients with pCR. Pre-NLR tended to be significantly associated with OS in patients of HER2 overexpressing and TNBC subtypes (all p < 0.05), but not in Luminal A and Luminal B subtypes. ConclusionsThis study demonstrated the prognostic value of both pre-NLR and post-NLR on clinical outcomes in BC patients receiving NAC. A novel nomogram was established to predict OS. Non-pCR patients developed increased NLRs during NAC. Routine assessment of NLR may be a simple and affordable tool to predict prognosis for BC patients receiving NAC.
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页数:12
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