Department of Breast Pathology and Lab, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, National Human Genetic Resource Sharing Service Platform, West Huanhu Road, Tianjin, 300060, China.
Department of Pathology, Cooper Medical School of Rowan University, Camden, NJ, USA.
Sci Rep. 2023 Jun 7;13(1):9256. doi: 10.1038/s41598-023-36517-2.
High level of tumor-infiltrating lymphocytes (TILs) can predict the rate of total pathological complete remission (tpCR) of breast cancer patients who receive neoadjuvant chemotherapy (NACT). This study focused on evaluating the data of patients whose primary tumor and/or lymph node metastasis show nonresponse (NR) to NACT, trying to provide a basis for the clinical decision which patients will develop NACT resistance. The study included breast cancers from 991 patients who received NACT. ROC curve analysis confirmed that TILs showed significant predictive value for NR of hormone receptor (HR)+HER2- and triple-negative breast cancer (TNBC). Among HR+HER2- breast cancer, TILs ≥ 10% was an independent predictor for low NR rate. Furthermore, positive correlation of TILs with Ki67 index and Miller-Payne grade, and negative correlation with ER and PR H-scores were only identified in this subgroup. In TNBC, TILs ≥ 17.5% was an independent predictor for low NR rate. The predictive value of low TILs on NR may facilitate to screen patients with HR+HER2- or TNBC who may not benefit from NACT. HR+HER2- breast cancer with low levels of TILs should be carefully treated with neoadjuvant chemotherapy, and other alternatives such as neoadjuvant endocrine therapy can be considered.
高肿瘤浸润淋巴细胞(TILs)水平可预测接受新辅助化疗(NACT)的乳腺癌患者的总病理完全缓解(tpCR)率。本研究重点评估了原发肿瘤和/或淋巴结转移对 NACT 无反应(NR)的患者数据,试图为临床决策提供依据,即哪些患者将产生 NACT 耐药性。该研究纳入了 991 例接受 NACT 的乳腺癌患者。ROC 曲线分析证实,TILs 对激素受体(HR)+HER2-和三阴性乳腺癌(TNBC)的 NR 具有显著的预测价值。在 HR+HER2-乳腺癌中,TILs≥10%是 NR 率低的独立预测因子。此外,在该亚组中仅发现 TILs 与 Ki67 指数和 Miller-Payne 分级呈正相关,与 ER 和 PR H 评分呈负相关。在 TNBC 中,TILs≥17.5%是 NR 率低的独立预测因子。低 TILs 对 NR 的预测价值可能有助于筛选可能不受 NACT 获益的 HR+HER2-或 TNBC 患者。低 TILs 的 HR+HER2-乳腺癌应谨慎采用新辅助化疗治疗,可考虑其他替代方案,如新辅助内分泌治疗。