基于 DNA 超分子水凝胶的保护性 NK 细胞储库用于增强三阴性乳腺癌治疗
Protective NK Cell Reservoir Based on DNA Supramolecular Hydrogel for Enhanced Triple-Negative Breast Cancer Therapy.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Immune Phenotype and Response to Neoadjuvant Therapy in Triple-Negative Breast Cancer.
Immune Phenotype and Response to Neoadjuvant Therapy in Triple-Negative Breast Cancer.
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在接受新辅助治疗的 TNBC 患者中,当与传统临床参数结合考虑时,通过详细表型表征和空间分析进行的深度免疫分析可以改善对接受新辅助治疗的 TNBC 患者 pCR 的预测。
三阴性乳腺癌(TNBC)中TIL(肿瘤浸润淋巴细胞)增加与新辅助治疗(NAT)病理完全缓解(pCR)率升高相关。然而,存在 TIL 并不能始终预测 pCR,因此本研究进一步全面刻画免疫细胞反应及其与 pCR 的关系。实验设计:从 ARTEMIS 研究(NCT02276443)中获取 105 例 I–III 期 TNBC 患者治疗前粗针活检;患者于 2015 年 10 月 22 日至 2018 年 7 月 24 日接受 NAT。对治疗前肿瘤样本进行 T 细胞受体(TCR)测序、程序性死亡配体 1(PD-L1)免疫组化、多重免疫荧光和 RNA 测序,全面分析肿瘤免疫微环境。主要终点为 NAT 后病理应答。
pCR 率为 40%(42/105)。TCR 克隆性较高(中位数 0.2 对 0.1;P=0.03)、PD-L1 阳性(OR 2.91;P=0.020)、CD3⁺/CD68⁺ 比值较高(中位数 14.70 对 8.20;P=0.0128),以及 T 细胞与肿瘤细胞空间距离更近(中位数 19.26 对 21.94 μm;P=0.0169)均与 pCR 相关。多变量模型显示,结合临床分期时,T 细胞与肿瘤细胞空间距离较近及 PD-L1 表达可提高 pCR 预测能力。
对于接受 TNBC 新辅助治疗的患者,详细表型分析和空间分析所构成的深度免疫特征,在结合传统临床参数后可改善 pCR 预测。
Increasing tumor-infiltrating lymphocytes (TIL) is associated with higher rates of pathologic complete response (pCR) to neoadjuvant therapy (NAT) in patients with triple-negative breast cancer (TNBC). However, the presence of TILs does not consistently predict pCR, therefore, the current study was undertaken to more fully characterize the immune cell response and its association with pCR. EXPERIMENTAL DESIGN: We obtained pretreatment core-needle biopsies from 105 patients with stage I-III TNBC enrolled in ARTEMIS (NCT02276443) who received NAT from Oct 22, 2015 through July 24, 2018. The tumor-immune microenvironment was comprehensively profiled by performing T-cell receptor (TCR) sequencing, programmed death-ligand 1 (PD-L1) IHC, multiplex immunofluorescence, and RNA sequencing on pretreatment tumor samples. The primary endpoint was pathologic response to NAT.
The pCR rate was 40% (42/105). Higher TCR clonality (median = 0.2 vs. 0.1, P = 0.03), PD-L1 positivity (OR: 2.91, P = 0.020), higher CD3+:CD68+ ratio (median = 14.70 vs. 8.20, P = 0.0128), and closer spatial proximity of T cells to tumor cells (median = 19.26 vs. 21.94 m, P = 0.0169) were associated with pCR. In a multivariable model, closer spatial proximity of T cells to tumor cells and PD-L1 expression enhanced prediction of pCR when considered in conjunction with clinical stage.
In patients receiving NAT for TNBC, deep immune profiling through detailed phenotypic characterization and spatial analysis can improve prediction of pCR in patients receiving NAT for TNBC when considered with traditional clinical parameters.
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