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Abstract 1309: Patient-derived tumor organoids as a platform to study radiation-exposed neoantigens

免疫原性 癌症研究 癌症 基因 免疫检查点 结直肠癌 免疫系统 放射治疗 生物 免疫疗法 医学 免疫学 内科学 遗传学
作者
Samantha J. Van Nest,Jared Capuano,Bhavneet Bhinder,Martin G. Klatt,Tuo Zhang,Maria Laura Martín,Silvia Formenti,Olivier Elemento,Nils-Petter Rudqvist,Sandra Demaria
出处
期刊:Cancer Research [American Association for Cancer Research]
卷期号:82 (12_Supplement): 1309-1309
标识
DOI:10.1158/1538-7445.am2022-1309
摘要

Abstract Focal radiation therapy (RT) can increase tumor immunogenicity and T cell-mediated tumor rejection when combined with immune checkpoint blockade (ICB). Our prior findings in patients and in preclinical studies suggest that one mechanism whereby RT increases tumor immunogenicity is by enhancing the expression of neoantigens.1,2 In response to RT, cells rapidly transcribe and translate hundreds of genes associated with the DNA damage response (DDR), protein turnover and cellular stress. Genes in these pathways are frequently mutated in cancer. Thus, we hypothesized that the presence of immunogenic mutations in genes upregulated by radiation could help predict the benefits of RT used in combination with ICB. In order to develop such a predictor, we built an in vitro system to study the RT-induced transcriptional response of primary human tumors cultured as patient-derived tumor organoids (PDO). PDOs were established from 2 breast cancer (BC), 4 non-small cell lung cancer (NSCLC) and 3 colorectal cancer (CRC) patients. PDOs were irradiated with doses of 5 to 8 Gy daily for 3 days (n=4) or left untreated (UT, n=4) and cultured for 24h prior to RNA extraction. RNA sequencing was carried out using a NovaSeq6000 sequencer (Illumina) to a depth of 30 million reads. Differential expression analysis between RT and UT samples was performed using DESeq2 and significantly perturbed genes were defined as genes with fold change greater than 1.5 and adjusted p-value cutoff of 0.05. In total we detected an average of 15,000+/-800 protein coding genes per sample and the number of genes modulated by RT was found to vary with cancer type. This ranged from an average of 3.9+/-1.6% genes upregulated by RT in NSCLC to 12.1+/-2.5% in CRC organoids. There were 104 and 490 genes commonly upregulated by RT in NSCLC and CRC, respectively. One of the BC PDOs is a triple-negative BC and the other HR+ and despite this difference, we identified 24 commonly upregulated genes. Gene Set Enrichment Analysis (GSEA), revealed enrichments in DDR and pro-inflammatory signaling pathways among the upregulated genes. Whole exome sequencing and paired normal tissue was used to determine the variants and predicted neoantigens for these PDOs. In one of the EGFR mutated NSCLC PDOs we found that among the genes transcriptionally upregulated by RT, 18 carried somatic mutations predicted to be antigenic. The presentation of these neoantigens is being investigated by mass spectrometry analysis of the immunopeptidome eluted from surface MHC-I molecules. Similar investigations are being carried out in the other models. Overall, results support the feasibility of identifying a common signature of RT upregulated genes in PDOs. This will provide a system to predict RT- exposed neoantigens. [1] Formenti et al. Nat. Med. 2018;24(12):1845-1851, [2] Lhuillier et al. J. Clin. Invest. 2021;131(5):e138740 Citation Format: Samantha J. Van Nest, Jared Capuano, Bhavneet Bhinder, Martin G. Klatt, Tuo Zhang, M. Laura Martin, Silvia C. Formenti, Olivier Elemento, Nils-Petter Rudqvist, Sandra Demaria. Patient-derived tumor organoids as a platform to study radiation-exposed neoantigens [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1309.

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