PO.TB04.01 · 肿瘤生物学
利用E切片对TNBC患者活检组织进行pembro疗效预测的临床验证
Clinical validation of pembro response predictions from TNBC patient biopsies using E slices
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
免疫疗法的疗效取决于免疫细胞、基质细胞与癌细胞之间复杂而动态的相互作用。目前,尚无功能性精准医学检测能够在具有临床可操作性的时间范围内准确预测个体患者对免疫疗法的反应。E-slice平台是一种专有的三维人体肿瘤组织培养系统,能够在肿瘤活检或手术切除后8-12天内实现快速、个性化的药物敏感性检测。E-slice在多个关键方面与其他三维人体模型系统不同。E-slice具有以下特点:
1)从不进行离体解离、重构或扩增;因此,该平台保留了各个患者肿瘤的组织结构、包括肿瘤浸润免疫细胞在内的细胞组成,以及不同细胞类型之间的空间关系,从而能够在完整的人体肿瘤组织中评估免疫疗法(抗体药物、ADC、细胞疗法、溶瘤病毒等);
2)在无血清、化学成分明确的培养基中培养,防止免疫细胞和癌细胞状态被人为激活或改变;
3)在单细胞RNA测序水平上得到验证,能够在离体条件下维持肿瘤相关免疫细胞至少8天,不仅在数量上,也在其激活状态上;
4)可扩展,既可从穿刺活检芯样生成以指导临床试验或患者诊疗,也可从手术样本生成以进行多维度分析;5)兼容所有主要的人体实体瘤类型;6)兼容所有抗癌治疗方式,包括生物制剂、小分子、细胞疗法和病毒疗法。在此,我们报告了两项回顾性和一项前瞻性临床研究,证明E-slice在预测患者对抗癌药物反应方面高度准确。两项使用结直肠癌患者PDX肿瘤的小型回顾性研究表明,E-slice能够以100%的特异性和敏感性准确预测患者对化疗+靶向治疗联合方案的反应。一项正在进行的、使用TNBC患者活检芯样(n=10)的前瞻性临床研究的中期分析显示,E-slice能够准确预测患者对KEYNOTE-522方案(包括pembrolizumab加化疗)的反应,特异性为100%,敏感性为87.5%。此外,该平台能够在离体条件下评估单独使用Pembo的治疗反应,前14例患者的反应率为14%,与KEYNOTE-522研究中报告的获益(13.6%)非常相似。总之,我们报告了一种新型三维人体肿瘤培养系统,它能够在具有临床可操作性的时间范围内准确预测患者对免疫疗法的反应,并可提供深入的分子和细胞层面见解,以加速免疫疗法的检测与开发。
查看英文原文 English abstract
The efficacy of immunotherapies depends on complex and dynamic interactions among immune cells, stromal cells, and cancer cells. Currently, no functional precision medicine assays can accurately predict individual patient responses to immunotherapies in a clinically actionable timeframe. The E-slice platform is a proprietary 3D human tumor tissue culture system that enables rapid, personalized drug sensitivity testing in 8-12 days from the time of tumor biopsies or surgical resections.E-slices are distinct from other 3D human model systems in multiple, critical ways. E-slices are:
1 ) never dissociated or reconstituted or expanded ex vivo; therefore, the platform maintains individual patient tumors' histoarchitecture, cellular composition including tumor-infiltrating immune cells, and the spatial relationships among different cell types, enabling evaluation of immunotherapies (antibody drugs, ADCs, cell therapies, oncolytic virus, etc.) in intact human tumor tissues;
2 ) cultured in serum-free, chemically defined medium, preventing artificial activation or altering of immune and cancer cell states;
3 ) validated at single-cell RNA-sequencing level to maintain tumor associated immune cells ex vivo for at least 8 days, not only in numbers but also in their activation states;
4 ) scalable and can be generated from needle biopsy cores to inform clinical trials or patient care as well as surgical samples for multi-dimensional analyses; 5) compatible with all major solid tumor types in human, and 6) compatible with all anti-cancer treatment modalities, including biologics, small molecules, cell based therapies, and virotherapies.Here, we report two retrospective and one prospective clinical studies that demonstrate that E-slices are highly accurate in predicting patient responses to anti-cancer agents . Two small retrospective studies, using colorectal cancer patient PDX tumors, demonstrated that E-slices can accurately predict patients' responses to chemo + targeted therapy combinations with 100 percent Specificity and sensitivity. An interim analysis of an ongoing prospective clinical study using TNBC patient biopsy cores (n=10) shows that E-slice can accurately predict patient responses to the KEYNOTE-522 regimen, which includes pembrolizumab plus chemotherapies with Specificity at 100 percent and Sensitivity at 87.5 percent. Furthermore, this platform enables treatment response to Pembo alone ex vivo, which showed 14 percent response rate from the first 14 patients, which is remarkably similar to the benefit reported in the KEYNOTE-522 study (13.6%). In summary, we report a novel 3D human tumor culture system that can accurately predict patient responses to immunotherapy in a clinically actionable time frame and can provide deep molecular and cellular insights to accelerate immunotherapy testing and development.
利益披露 Disclosure
K. Yun,
Houston Methodist/Well Cornell Med Employment.
EMPIRI, Inc g., Board of Directors, non-salaried role), Stock Option, Patent.
V. L. Leyva-Aranda,
EMPIRI. Inc Employment, Stock Option.
C. Yun,
EMPIRI Employment, Stock Option.
N. Abdelfattah, None..
F. Leonard, None..
R. Kang, None..
J. Lee, None..
N. Ueno, None.