S. Schoenberger, Aaron M. Miller, Luise Sternberg, Leslie Montero Cuencac, Milad Bahmanof, Zeynep Koasaloglu-Yalcin, Manasa Lanka, A. Premlal, P. Vijayanand, J. Greenbaum, Allesandro Seatte, Ezra E. W. Cohen, Bjoern Peters
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Applying this platform to tumors of low mutational burden including PDAC, HNSCC, and MSS-CRC, we report that an average of 35% of expressed mutations selected for functional testing can be verified as neoantigens, and that a significant number of these would be missed by HLA-binding algorithms. Responses comprise both type I and type 2 CD4+ and CD8+ effector T-cells recognizing both “passenger” mutations and known activating mutations in driver oncogenes such as KRAS, PIK3CA, and NRAS. Additionally, we have established a single-cell platform for isolation of T-cell receptors (TCR) against these shared recurrent mutations, and have opened a phase 1b clinical trial to evaluate the efficacy of personalized NeoAg vaccination in solid tumors. Citation Format: Stephen Phillip Schoenberger, Aaron M. Miller, Luise A. Sternberg, Leslie Montero Cuencac, Milad Bahmanof, Zeynep Koasaloglu-Yalcin, Manasa Lanka, Ashmitaa Premlal, Pandurangan Vijayanand, Jason Greenbaum, Allesandro Seatte, Ezra E.W. 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引用次数: 0
摘要
准确识别肿瘤特异性新抗原(NeoAg)对于开发有效的个性化癌症疫苗和细胞免疫疗法至关重要。依靠预测hla结合的纯计算方法的成功率令人失望,因为这些方法通常忽略了总突变的85-90%,并且发现只有不到5%的被选中的突变可以被确认为t细胞靶标。我们开发了一种新的NeoAg鉴定平台,其中使用WES和RNAseq元数据来指定突变,以便随后使用自体PBMC和/或TIL进行功能性t细胞分析。将该平台应用于低突变负担的肿瘤,包括PDAC、HNSCC和MSS-CRC,我们报告了平均35%的用于功能测试的表达突变可以被验证为新抗原,并且hla结合算法会错过其中的很大一部分。应答包括I型和2型CD4+和CD8+效应t细胞,识别驱动癌基因(如KRAS、PIK3CA和NRAS)中的“乘客”突变和已知的激活突变。此外,我们已经建立了一个针对这些共同复发突变的t细胞受体(TCR)分离的单细胞平台,并已经开启了一项1b期临床试验,以评估个性化NeoAg疫苗接种在实体瘤中的疗效。引文格式:Stephen Phillip Schoenberger, Aaron M. Miller, louise A. Sternberg, Leslie Montero Cuencac, Milad Bahmanof, Zeynep Koasaloglu-Yalcin, Manasa Lanka, Ashmitaa Premlal, Pandurangan Vijayanand, Jason Greenbaum, Allesandro Seatte, Ezra E.W. Cohen, Bjoern Peters。肿瘤新抗原的功能鉴定及治疗靶向[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 PR12。
Abstract PR12: Functional identification and therapeutic targeting of tumor neoantigens
Accurate identification of tumor-specific neoantigens (NeoAg) is essential for the development of effective personalized cancer vaccines and cellular immunotherapies. The success rates for purely computational approaches which rely on predicted HLA-binding have been disappointing, as these generally ignore 85-90% of total mutations and find less than 5% of those selected can be confirmed as T-cell targets. We have developed a novel NeoAg identification platform in which WES and RNAseq metadata is used to nominate mutations for subsequent functional T-cell analysis using autologous PBMC and/or TIL. Applying this platform to tumors of low mutational burden including PDAC, HNSCC, and MSS-CRC, we report that an average of 35% of expressed mutations selected for functional testing can be verified as neoantigens, and that a significant number of these would be missed by HLA-binding algorithms. Responses comprise both type I and type 2 CD4+ and CD8+ effector T-cells recognizing both “passenger” mutations and known activating mutations in driver oncogenes such as KRAS, PIK3CA, and NRAS. Additionally, we have established a single-cell platform for isolation of T-cell receptors (TCR) against these shared recurrent mutations, and have opened a phase 1b clinical trial to evaluate the efficacy of personalized NeoAg vaccination in solid tumors. Citation Format: Stephen Phillip Schoenberger, Aaron M. Miller, Luise A. Sternberg, Leslie Montero Cuencac, Milad Bahmanof, Zeynep Koasaloglu-Yalcin, Manasa Lanka, Ashmitaa Premlal, Pandurangan Vijayanand, Jason Greenbaum, Allesandro Seatte, Ezra E.W. Cohen, Bjoern Peters. Functional identification and therapeutic targeting of tumor neoantigens [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 PR12.