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三阴性大汗腺癌的新辅助化疗反应:大汗腺形态学、雄激素受体与免疫表型比较

英文原题:Neoadjuvant Chemotherapy Response in Triple-Negative Apocrine Carcinoma: Comparing Apocrine Morphology, Androgen Receptor, and Immune Phenotypes.

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Neoadjuvant Chemotherapy Response in Triple-Negative Apocrine Carcinoma: Comparing Apocrine Morphology, Androgen Receptor, and Immune Phenotypes.

PubMed 2025/04/01(内容时间) Arch Pathol Lab Med Q2 · IF 3.3(JCR 2025)

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中文摘要

乳腺癌(BC)是全球女性最常见癌症,每年新增230万病例、死亡68.5万人。北美、欧洲和澳大利亚发病率最高,亚洲和非洲部分地区较低。危险因素包括年龄、家族史、激素替代治疗、肥胖、饮酒和缺乏运动;BRCA1/BRCA2突变显著增加风险。发达国家5年生存率超过90%,发展中国家较低。乳腺摄影和MRI早筛早诊对降低死亡率至关重要。近年来,乳腺癌免疫表型研究取得进展,尤其在多色流式细胞术、分子成像和肿瘤微环境分析方面;这些技术改善诊断、分类和微小残留病检测。靶向肿瘤微环境的新型免疫疗法(如CAR-T)显示较高效率和较少副作用。较高TIL(肿瘤浸润淋巴细胞)水平与较好预后相关,而PD-1、PD-L1等检查点分子帮助癌细胞逃避免疫系统。肿瘤相关巨噬细胞促进侵袭和转移。阻断CTLA-4、LAG-3和TIM-3可增强抗肿瘤应答;IL-10、TGF-β等细胞因子则促进肿瘤生长和免疫逃逸。孟德尔随机化(MR)研究使用遗传变异减少混杂偏倚并避免反向因果,为免疫细胞表型与乳腺癌提供较稳健的因果推断,支持精准医疗和个体化治疗策略。

研究使用BCAC及Finngen R10数据集中的731种免疫细胞表型与乳腺癌数据开展MR分析,再以逆方差加权(IVW)法荟萃主要结果,并对显著性P值进行多重校正。研究分三部分:首先从GWAS Catalog、Open GWAS(BCAC)和Finngen R10数据库获取并预处理731种免疫表型及乳腺癌数据;其次进行MR分析及IVW荟萃分析并作多重校正;最后将正向分析筛出的免疫表型作为结局、乳腺癌作为暴露进行反向MR验证。

MR分析、荟萃分析及多重校正后发现两种免疫表型与乳腺癌存在强显著关联。对于CD28+ CD4−CD8− T细胞上的CD3表型,BCAC数据集IVW OR=0.942(95% CI:0.915至0.970,P=6.76×10⁻⁵),效应值−0.059;MR-Egger效应−0.095,加权中位数效应−0.060。Finngen R10数据集IVW OR=0.956(95% CI:0.907至1.01,P=0.092),效应−0.045;MR-Egger效应−0.070,加权中位数效应−0.035。两数据集三种MR方法方向一致。合并IVW结果OR=0.945(95% CI:0.922至0.970,P=1.70×10⁻⁵);Bonferroni校正后P=0.01,确认该免疫表型是乳腺癌保护因素。对于CD33− HLA-DR+细胞上的HLA-DR表型,BCAC IVW OR=0.977(95% CI:0.964至0.990,P=7.64×10⁻⁴),Finngen R10 IVW OR=0.960(95% CI:0.938至0.983,P=6.51×10⁻⁴);原摘要后文截断。

展开英文摘要原文

CONTEXT. —: Apocrine differentiation and androgen receptor (AR) positivity represent a specific subset of triple-negative breast cancer (TNBC) and are often considered potential prognostic or predictive factors. OBJECTIVE. —: To evaluate the response of TNBC to neoadjuvant chemotherapy (NAC) and to assess the impact of apocrine morphology, AR status, Ki-67 labeling index (Ki-67LI), and tumor-infiltrating lymphocytes (TILs).

DESIGN. —: A total of 232 TNBC patients who underwent NAC followed by surgical resection in a single institute were analyzed. The study evaluated apocrine morphology and AR and Ki-67LI expression via immunohistochemistry from pre-NAC biopsy samples.

Additionally, pre-NAC intratumoral TILs and stromal TILs (sTILs) were quantified from biopsies using a deep learning model. The response to NAC after surgery was assessed based on residual cancer burden. RESULTS. &#x2014;: Both apocrine morphology and high AR expression correlated with lower Ki-67LI (P < . 001 for both). Apocrine morphology was associated with lower postoperative pathologic complete response (pCR) rates after NAC (P = . 02), but the difference in TILs between TNBC cases with and without apocrine morphology was not statistically significant (P = . 09 for sTILs).

In contrast, AR expression did not significantly affect pCR (P = . 13). Pre-NAC TILs strongly correlated with postoperative pCR in TNBCs without apocrine morphology (P < . 001 for sTILs), whereas TNBC with apocrine morphology demonstrated an indeterminate trend (P = . 82 for sTILs). CONCLUSIONS.

&#x2014;: Although TIL counts did not vary significantly based on apocrine morphology, apocrine morphology itself was a more reliable predictor of NAC response than AR expression. Consequently, although apocrine morphology is a rare subtype of TNBC, its identification is clinically important.

论文信息

作者
Hwang I、Lim Y、Song S、Lee H、Cho YA、Im YH、An JS、Park YH
单位
From the Department of Pathology and Translational Genomics, Sungkyunkwan University School of Medicine, Seoul, South Korea (Hwang, Lee, Y. A. Cho, E. Y. Cho).South Korea
文献类型
对照研究
期刊
Archives of pathology & laboratory medicine2025 Apr 1
原文标识
PubMed 38960391 · DOI 10.5858/arpa.2023-0561-OA