Abstract B084: Methylation landscape of tumors associated with antitumor immune signature

C. Ock, Changhee Park, Kyeonghun Jeong, Sohee Jung, J. Bae, Kwangsoo Kim
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Abstract

The most reliable predictive biomarker of cancer immunotherapy is gene expression profile (GEP) of tumor microenvironment. GEPs such as local immune cytolytic activity, interferon-gamma signature, and immune signature score have been reported to represent anti-tumor immune signature. Previously, we reported that immune signature score was positively correlated with tumor mutational burden, but negatively correlated with chromosomal instability (CIN) score, since tumors with high CIN score had significantly low neoantigen burden. However, methylation signature or burden of tumor would also affect antitumor immunogenicity, there has been no analysis reported so far. In the current study, we investigated if methylation landscape of tumor would be associated with GEPs of anti-tumor immune signature using The Cancer Genome Atlas (TCGA) pan-cancer database. In TCGA, 8269 pan-cancer samples had both RNA sequencing data and methylation data using Infinium HumanMethylation450K BeadChip, which were included in the main analysis. Although tumors with high mutational burden (Mu-type) and high CIN burden (C-type) were exclusively classified with negative correlation, methylation burden was not correlated with mutational burden or CIN burden in any pattern. Interestingly, antitumor immune signature measured by local immune cytolytic activity (CytAct) was clearly decreased with high methylational burden, as seen in high CIN burden. Hypermethylation of promoter of genes related to tumor antigen recognition by T-cell such as HLA family, B2M, CD74, and CD274 (PD-L1) were negatively associated with CytAct in pan-cancer analysis. In conclusion, methylation signature of tumor is also associated with antitumor immunogenicity with a negative correlation in general. Further study of whether specific methylation pattern would be associated with anti-PD-1/PD-L1 inhibitors in clinical study would be warranted. Citation Format: Chan-Young Ock, Changhee Park, Kyeonghun Jeong, Sohee Jung, Jeong Mo Bae, Kwangsoo Kim. Methylation landscape of tumors associated with antitumor immune signature [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 B084.
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B084:肿瘤甲基化景观与抗肿瘤免疫特征相关
肿瘤微环境基因表达谱(GEP)是预测肿瘤免疫治疗最可靠的生物标志物。gep如局部免疫细胞溶解活性、干扰素γ信号和免疫信号评分已被报道为抗肿瘤免疫信号。之前,我们报道了免疫标记评分与肿瘤突变负荷呈正相关,但与染色体不稳定性(CIN)评分负相关,因为CIN评分高的肿瘤新抗原负荷明显低。然而,甲基化特征或肿瘤负荷也会影响抗肿瘤免疫原性,目前尚无相关分析报道。在本研究中,我们利用癌症基因组图谱(TCGA)泛癌症数据库研究肿瘤的甲基化景观是否与抗肿瘤免疫特征的GEPs相关。在TCGA中,使用Infinium HumanMethylation450K BeadChip的8269份泛癌样本同时具有RNA测序数据和甲基化数据,并被纳入主分析。虽然高突变负担(mu型)和高CIN负担(c型)的肿瘤被单独归类为负相关,但甲基化负担与突变负担或CIN负担没有任何模式的相关性。有趣的是,通过局部免疫细胞溶解活性(CytAct)测量的抗肿瘤免疫特征在高甲基化负荷下明显降低,正如在高CIN负荷中所见。HLA家族、B2M、CD74、CD274 (PD-L1)等t细胞肿瘤抗原识别相关基因启动子的高甲基化与泛癌分析中发现CytAct呈负相关。综上所述,肿瘤甲基化特征也与抗肿瘤免疫原性相关,总体上呈负相关。在临床研究中,特异性甲基化模式是否与抗pd -1/PD-L1抑制剂相关有待进一步研究。引文格式:occhanyoung, Changhee Park, Kyeonghun Jeong Sohee Jung, Jeong Mo Bae, Kwangsoo Kim。与抗肿瘤免疫特征相关的肿瘤甲基化景观[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 B084。
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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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