Dan Jiaqiang, Tan Jingya, Huang Junhua, Yuan Zhiying, Guo Yao
Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Department of Breast Surgery, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, Sichuan 611137, P.R. China.
Department of Rheumatology and Immunology, Wenjiang District People's Hospital of Chengdu City, Chengdu, Sichuan 611137, P.R. China.
Mol Clin Oncol. 2023 Sep 25;19(5):90. doi: 10.3892/mco.2023.2686. eCollection 2023 Nov.
Markers with inflammatory properties, such as the ratio of neutrophils to lymphocytes and the platelet-to-lymphocyte ratio (PLR), have been documented as potential indicators for predicting pathologic complete response (pCR) following neoadjuvant chemotherapy (NACT) in cases of breast cancer. However, whether early changes of PLR (ΔPLR) during NACT can predict pCR has not been reported. A total of 257 breast cancer patients who underwent NACT were retrospectively analyzed. PLR was calculated by evaluating the complete blood cell counts prior to NACT and following two cycles of NACT. The analysis focused on the association between changes in PLR and the response to chemotherapy, as well as the association with pCR. Patients who stayed in or changed to the low PLR level subgroup after two cycles of NACT exhibited a superior response to chemotherapy, in contrast to those who stayed in or changed to the high PLR level subgroup. Of the 257 patients, 75 (29.1%) achieved a pCR after NACT. In the multivariate analysis, there was a significant association between ΔPLR and pCR, whereas pre-treatment and post-treatment PLR did not show any significant association. In multivariate analysis, patients who had a ΔPLR <0 had a notably higher rate of pCR compared with patients with a ΔPLR ≥0. It was concluded that ΔPLR, rather than pre-treatment or post-treatment PLR, is associated with pCR. This suggested that the early changes of PLR after two cycles of NACT might serve as a more accurate predictor for chemotherapy response and pCR in breast cancer.
具有炎症特性的标志物,如中性粒细胞与淋巴细胞的比例以及血小板与淋巴细胞的比例(PLR),已被证明是预测乳腺癌新辅助化疗(NACT)后病理完全缓解(pCR)的潜在指标。然而,NACT期间PLR的早期变化(ΔPLR)是否能预测pCR尚未见报道。对总共257例接受NACT的乳腺癌患者进行了回顾性分析。通过评估NACT前和NACT两个周期后的全血细胞计数来计算PLR。分析重点在于PLR变化与化疗反应之间的关联以及与pCR的关联。与那些保持在或转变为高PLR水平亚组的患者相比,在NACT两个周期后保持在或转变为低PLR水平亚组的患者对化疗表现出更好的反应。在这257例患者中,75例(29.1%)在NACT后实现了pCR。在多变量分析中,ΔPLR与pCR之间存在显著关联,而治疗前和治疗后的PLR未显示出任何显著关联。在多变量分析中,与ΔPLR≥0的患者相比,ΔPLR<0的患者pCR率明显更高。得出的结论是,与治疗前或治疗后的PLR相比,ΔPLR与pCR相关。这表明NACT两个周期后PLR的早期变化可能是乳腺癌化疗反应和pCR更准确的预测指标。