B070:新表位和突变负荷作为免疫治疗癌症患者广泛队列的生物标志物

Anne-Mette Bjerregaard, Vinicius Araujo Barbosa de Lima, A. Borch, O. Oestrup, U. Lassen, S. Hadrup
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摘要

近年来,各种不同的免疫疗法在主流肿瘤学领域取得了成功,但仍不确定哪些患者会受益,以及为什么会受益。为了确定这一点,研究人员研究了不同的生物标志物,包括源自体细胞突变并被t细胞和新表位识别的肿瘤特异性肽。最近的研究表明,免疫治疗的临床益处与特定患者群体(黑色素瘤和肺癌)的高突变负担和高新抗原负荷相关,强调了使用这些测量作为生物标志物的可能性,并推动了新抗原反应性t细胞是癌细胞消除的主要驱动因素的假设。我们建议研究高突变负荷和大量新表位是否与不同癌症类型和免疫治疗对免疫治疗的一般反应相关。为了检验这种相关性,我们研究了19名接受过不同免疫疗法的患者。数据包括来自血液和肿瘤的全外显子组测序(WXS)数据以及来自所有患者的肿瘤mRNA测序。利用突变肽提取器和信息子(Mutant peptide extractor and informer, MuPeXI)预测新表位负荷,寻找可能的新表位,并根据其潜在的免疫原性对新肽进行评分。对19例患者测序数据的分析显示,尽管这些患者的癌症来源不同,接受不同的免疫疗法治疗,但观察到高数量的新表位和高突变负荷与免疫疗法临床获益的可能性增加之间存在显著相关性。这些发现表明,总体而言,临床获益与突变负荷和新表位的增加相关,而与癌症类型和治疗无关,如果将其用作生物标志物,可能会对患者进行分层,确定谁可能对癌症免疫治疗有反应。此外,我们检测了肿瘤mRNA的t细胞受体序列,有趣的是,具有高水平预测新表位的患者在肿瘤部位表现出增强的tcr低克隆性。引文格式:Anne-Mette Bjerregaard, Vinicius Araujo Barbosa de Lima, Annie Borch, Olga Araujo Barbosa de Oestrup, Ulrik Lassen, Sine Reker Hadrup。新表位和突变负荷作为免疫治疗癌症患者广泛队列的生物标志物[摘要]。第四届CRI-CIMT-EATI-AACR国际癌症免疫治疗会议:将科学转化为生存;2018年9月30日至10月3日;纽约,纽约。费城(PA): AACR;癌症免疫学杂志,2019;7(2增刊):摘要nr B070。
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Abstract B070: Neoepitope and mutation load as a biomarker in a broad cohort of cancer patients treated with immunotherapy
Various different treatments of immunotherapy have in recent years made their mark in mainstream oncology, but it is still uncertain which patients will benefit and why. To determine this, different biomarkers have been investigated including tumor specific peptides originating from somatic mutations and recognized by T-cells, neoepitopes. Recent studies show that clinical benefit of immunotherapy correlate with both high mutational burden and high neoantigen load in defined patient groups, melanoma and lung cancer, underlining the possibility to use these measurements as biomarkers, and driving the hypothesis that neoantigen-responsive T-cells are the main drivers to cancer-cell elimination. We propose to investigate if a high mutational load and a high amount of neoepitopes are correlated with a general respond to immunotherapy across different cancer types and immunotherapy treatments. To examine this correlation, we studied 19 patients who have been treated with different kinds of immunotherapy. The data consist of Whole Exome Sequencing (WXS) data from blood and tumor, as well as tumor mRNA sequencing from all patients. Neoepitope load was predicted using Mutant peptide extractor and informer (MuPeXI) to find possible neoepitopes and score the neopeptides by their potential immunogenicity. The analysis of the sequencing data from the 19 patients revealed that even though these patients have cancers of varying origin and treated with different immunotherapies, a significant correlation was observed between a high number of neoepitopes as well as high mutational load with an increased possibility of a clinical benefit to immunotherapy. These findings showed that overall a clinical benefit is correlated with increased mutational load and neoepitopes independent of the cancer type and treatment which if used as a biomarker can possibly stratify patients determining who is likely to respond to cancer immunotherapy. Furthermore, we examined the tumor mRNA for T-cell recpetor sequences, and interestingly patients with high level of predeicted neoepitopes show enhanced oligoclonality of TCRs at the tumor site. Citation Format: Anne-Mette Bjerregaard, Vinicius Araujo Barbosa de Lima, Annie Borch, Olga Araujo Barbosa de Oestrup, Ulrik Lassen, Sine Reker Hadrup. Neoepitope and mutation load as a biomarker in a broad cohort of cancer patients treated with immunotherapy [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2019;7(2 Suppl):Abstract nr B070.
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Abstract B092: Tumor infiltrating T-cells from renal cell carcinoma patients recognize neoantigens derived from point and frameshift mutations Abstract B084: Methylation landscape of tumors associated with antitumor immune signature Abstract B074: A recall antigen-based potency assay for immunomodulatory biologics that could discriminate responders from nonresponders Abstract B089: Application of precision cancer immunotherapy design tools to bladder cancer: Non-self-like neoepitopes as a prognostic biomarker Abstract B083: Defective transcription elongation in a subset of cancers confers immunotherapy resistance
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