Khan Adil Aziz, Ahuja Sana, Kiruthikasri Kiruthikasri, Zaheer Sufian
Department of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Pathol Res Pract. 2024 Aug;260:155382. doi: 10.1016/j.prp.2024.155382. Epub 2024 May 29.
Breast cancer, a leading cause of female mortality, has prompted the widespread adoption of Neoadjuvant chemotherapy (NAC) for its potential to minimize metastasis risk and downstaging tumors. Tumor Infiltrating Lymphocytes (TILs) have emerged as key immunological biomarkers, particularly in breast cancer research. This study focuses on evaluating Stromal TILs (sTILs) in pre-NAC core needle biopsies of Invasive Breast Carcinoma, No Special Type (IBC, NST) and correlating it with NAC response.
A retrospective study spanning three years (October 2020 to September 2023) was conducted in a tertiary care hospital, involving 73 patients meeting specific inclusion criteria. Pathological assessments, including hormone receptor status, molecular subtyping, and TILs evaluation, were performed. Logistic regression and statistical analyses were conducted to determine associations between TILs, clinicopathological parameters, and complete response.
The study demonstrated excellent discriminatory power of TILs (>10 %) in predicting complete response. Univariate and multivariate logistic regression underscored the independent predictive value of TILs, emphasizing their significance across diverse molecular subtypes.
This study provides crucial insights into immune response assessment, particularly sTILs, in optimizing breast cancer treatment strategies and patient outcomes during NAC, contributing to the evolving landscape of personalized emphasising oncology.
乳腺癌是女性死亡的主要原因,促使新辅助化疗(NAC)被广泛采用,因为它有可能将转移风险降至最低并使肿瘤降期。肿瘤浸润淋巴细胞(TILs)已成为关键的免疫生物标志物,尤其是在乳腺癌研究中。本研究重点评估浸润性乳腺癌非特殊类型(IBC,NST)的NAC前粗针活检中的基质TILs(sTILs),并将其与NAC反应相关联。
在一家三级医院进行了一项为期三年(2020年10月至2023年9月)的回顾性研究,纳入73例符合特定纳入标准的患者。进行了病理评估,包括激素受体状态、分子亚型分析和TILs评估。进行了逻辑回归和统计分析,以确定TILs、临床病理参数与完全缓解之间的关联。
该研究表明TILs(>10%)在预测完全缓解方面具有出色的鉴别能力。单因素和多因素逻辑回归强调了TILs的独立预测价值,突出了它们在不同分子亚型中的重要性。
本研究为免疫反应评估,特别是sTILs评估提供了关键见解,有助于优化NAC期间的乳腺癌治疗策略和患者预后,为不断发展的个性化肿瘤学格局做出贡献。