Want Muzamil Yaqub, Konstorum Anna, Huang Ruea-Yea, Jain Vaibhav, Matsueda Satoko, Tsuji Takemasa, Lugade Amit, Odunsi Kunle, Koya Richard, Battaglia Sebastiano
Center For Immunotherapy, Comprehensive Cancer Center, Buffalo, NY, USA.
Center for Quantitative Medicine, UConn Health, Farmington, CT, USA.
Oncoimmunology. 2019 Mar 30;8(6):e1586042. doi: 10.1080/2162402X.2019.1586042. eCollection 2019.
Ovarian cancer (OC) has an overall modest number of mutations that facilitate a functional immune infiltrate able to recognize tumor mutated antigens, or neoantigens. Although patient-derived xenografts (PDXs) can partially model the tumor mutational load and mimic response to chemotherapy, no study profiled a neoantigen-driven response in OC PDXs. Here we demonstrate that the genomic status of the primary tumor from an OC patient can be recapitulated in a PDX model, with the goal of defining autologous T cells activation by neoantigens using and approaches. By profiling the PDX mutanome we discovered three main clusters of mutations defining the expansion, retraction or conservation of tumor clones based on their variant allele frequencies (VAF). RNASeq analyses revealed a strong functional conservation between the primary tumor and PDXs, highlighted by the upregulation of antigen presenting pathways. We tested a set of 30 neoantigens for recognition by autologous T cells and identified a core of six neoantigens that define a potent T cell activation able to slow tumor growth . The pattern of recognition of these six neoantigens indicates the pre-existence of anti-tumor immunity in the patient. To evaluate the breadth of T cell activation, we performed single cell sequencing profiling the TCR repertoire upon stimulation with neoantigenic moieties and identified sequence motifs that define an oligoclonal and autologous T cell response. Overall, these results indicate that OC PDXs can be a valid tool to model OC response to immunotherapy.
卵巢癌(OC)的突变总数相对较少,这些突变有助于形成能够识别肿瘤突变抗原或新抗原的功能性免疫浸润。尽管患者来源的异种移植(PDX)可以部分模拟肿瘤突变负荷并模拟对化疗的反应,但尚无研究对OC PDX中由新抗原驱动的反应进行分析。在此,我们证明OC患者原发肿瘤的基因组状态可以在PDX模型中重现,目的是使用[具体方法1]和[具体方法2]来确定新抗原对自体T细胞的激活作用。通过分析PDX突变组,我们发现了三个主要的突变簇,根据其变异等位基因频率(VAF)定义了肿瘤克隆的扩增、收缩或保守情况。RNA测序分析显示,原发肿瘤和PDX之间存在很强的功能保守性,抗原呈递途径的上调突出了这一点。我们测试了一组30种新抗原,以检测自体T细胞的识别情况,并确定了六种新抗原的核心,这些新抗原可定义一种能够减缓肿瘤生长的有效T细胞激活作用。这六种新抗原被识别的模式表明患者体内预先存在抗肿瘤免疫力。为了评估T细胞激活的广度,我们在用新抗原部分刺激后对TCR库进行了单细胞测序分析,并确定了定义寡克隆和自体T细胞反应的序列基序。总体而言,这些结果表明OC PDX可以作为模拟OC对免疫疗法反应的有效工具。