Gasparri Maria Luisa, Albasini Sara, Truffi Marta, Favilla Karin, Tagliaferri Barbara, Piccotti Francesca, Bossi Daniela, Armatura Giulia, Calcinotto Arianna, Chiappa Corrado, Combi Francesca, Curcio Annalisa, Della Valle Angelica, Ferrari Guglielmo, Folli Secondo, Ghilli Matteo, Listorti Chiara, Mancini Stefano, Marinello Peter, Mele Simone, Pertusati Anna, Roncella Manuela, Rossi Lorenzo, Rovera Francesca, Segattini Silvia, Sgarella Adele, Tognali Daniela, Corsi Fabio
Department of Gynecology and Obstetrics, Ospedale Regionale di Lugano EOC, Lugano, Switzerland.
Centro di Senologia della Svizzera Italiana, Ospedale Regionale di Lugano EOC, Lugano, Switzerland.
Ther Adv Med Oncol. 2023 Sep 15;15:17588359231193732. doi: 10.1177/17588359231193732. eCollection 2023.
Systemic inflammatory markers draw great interest as potential blood-based prognostic factors in several oncological settings.
The aim of this study is to evaluate whether neutrophil-to-lymphocyte ratio (NLR) and pan-immune-inflammation value (PIV) predict nodal pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in node-positive (cN+) breast cancer (BC) patients.
Clinically, cN+ BC patients undergoing NAC followed by breast and axillary surgery were enrolled in a multicentric study from 11 Breast Units.
Pretreatment blood counts were collected for the analysis and used to calculate NLR and PIV. Logistic regression analyses were performed to evaluate independent predictors of nodal pCR.
A total of 1274 cN+ BC patients were included. Nodal pCR was achieved in 586 (46%) patients. At multivariate analysis, low NLR [odds ratio (OR) = 0.71; 95% CI, 0.51-0.98; = 0.04] and low PIV (OR = 0.63; 95% CI, 0.44-0.90; = 0.01) were independently predictive of increased likelihood of nodal pCR. A sub-analysis on cN1 patients ( = 1075) confirmed the statistical significance of these variables. PIV was significantly associated with axillary pCR in estrogen receptor (ER)-/human epidermal growth factor receptor 2 (HER2)+ (OR = 0.31; 95% CI, 0.12-0.83; = 0.02) and ER-/HER2- (OR = 0.41; 95% CI, 0.17-0.97; = 0.04) BC patients.
This study found that low NLR and PIV levels predict axillary pCR in patients with BC undergoing NAC.
Eudract number NCT05798806.
在多种肿瘤环境中,全身炎症标志物作为潜在的基于血液的预后因素引起了极大关注。
本研究旨在评估中性粒细胞与淋巴细胞比值(NLR)和全免疫炎症值(PIV)是否能预测淋巴结阳性(cN+)乳腺癌(BC)患者新辅助化疗(NAC)后的淋巴结病理完全缓解(pCR)。
临床上,接受NAC随后进行乳房和腋窝手术的cN+ BC患者被纳入来自11个乳腺科的多中心研究。
收集预处理血常规进行分析,并用于计算NLR和PIV。进行逻辑回归分析以评估淋巴结pCR的独立预测因素。
共纳入1274例cN+ BC患者。586例(46%)患者实现了淋巴结pCR。在多变量分析中,低NLR [比值比(OR)= 0.71;95%置信区间(CI),0.51 - 0.98;P = 0.04]和低PIV(OR = 0.63;95% CI,0.44 - 0.90;P = 0.01)独立预测淋巴结pCR可能性增加。对cN1患者(n = 1075)的亚分析证实了这些变量的统计学意义。PIV与雌激素受体(ER)阴性/人表皮生长因子受体2(HER2)阳性(OR = 0.31;95% CI,0.12 - 0.83;P = 0.02)和ER阴性/HER2阴性(OR = 0.41;95% CI,0.17 - 0.97;P = 0.04)BC患者的腋窝pCR显著相关。
本研究发现低NLR和PIV水平可预测接受NAC的BC患者的腋窝pCR。
欧盟临床试验注册号NCT05798806。