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肿瘤与癌旁正常组织的整合 HLA 分型可揭示肿瘤免疫应答的线索

英文原题:Integrative HLA typing of tumor and adjacent normal tissue can reveal insights into the tumor immune response.

查看英文原题

Integrative HLA typing of tumor and adjacent normal tissue can reveal insights into the tumor immune response.

PubMed 2024/01/27(内容时间) BMC Med Genomics Q2 · IF 2.6(JCR 2025)

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研究概要

研究中描述的基于 RNA-seq 的综合 HLA 分型方法,结合 HLA 表达分析、新抗原预测和免疫细胞浸润,可能有助于增进我们对患者肿瘤与免疫系统之间相互作用的理解;

中文摘要

HLA复合体是人类基因组中多态性最高的区域;更准确地表征该区域有助于理解人类疾病遗传学,以及癌症与免疫系统之间的相互作用。HLA基因的主要功能是识别“非自身”抗原,并将其呈递至细胞表面供T细胞识别,从而引发针对感染或转化细胞的免疫应答。HLA抗原结合槽的序列变异可能改变呈递给T细胞的免疫原性抗原种类,而HLA表达改变可显著影响对病原体和癌症的免疫应答。

本研究使用RNA测序对HLA区域准确分型,并定量比较肿瘤及患者配对癌旁正常组织中的等位基因特异性HLA表达水平。该计算方法可利用RNA-seq数据对经典和非经典I类及II类HLA等位基因分型,同时定量等位基因特异性或个体化HLA表达。该策略还利用RNA-seq数据推断肿瘤内免疫细胞浸润,以及配对正常组织的免疫细胞组成,以揭示T细胞、NK细胞与肿瘤HLA等位基因相互作用的潜在线索。

该分型方法在II类HLA分型方面优于现有RNA-seq分型工具。我们还将其应用于两种不同亚型乳腺癌的肿瘤样本及配对正常乳腺组织对照,展示了其研究肿瘤-免疫相互作用的潜力。

本研究描述的整合式RNA-seq HLA分型方法结合HLA表达分析、新抗原预测和免疫细胞浸润分析,有助于加深对患者肿瘤与免疫系统相互作用的理解,并进一步揭示决定免疫检查点阻断等免疫治疗阳性或阴性结局的免疫机制。

展开英文摘要原文

The HLA complex is the most polymorphic region of the human genome, and its improved characterization can help us understand the genetics of human disease as well as the interplay between cancer and the immune system. The main function of HLA genes is to recognize "non-self" antigens and to present them on the cell surface to T cells, which instigate an immune response toward infected or transformed cells. While sequence variation in the antigen-binding groove of HLA may modulate the repertoire of immunogenic antigens presented to T cells, alterations in HLA expression can significantly influence the immune response to pathogens and cancer.

RNA sequencing was used here to accurately genotype the HLA region and quantify and compare the level of allele-specific HLA expression in tumors and patient-matched adjacent normal tissue. The computational approach utilized in the study types classical and non-classical Class I and Class II HLA alleles from RNA-seq while simultaneously quantifying allele-specific or personalized HLA expression. The strategy also uses RNA-seq data to infer immune cell infiltration into tumors and the corresponding immune cell composition of matched normal tissue, to reveal potential insights related to T cell and NK cell interactions with tumor HLA alleles.

The genotyping method outperforms existing RNA-seq-based HLA typing tools for Class II HLA genotyping. Further, we demonstrate its potential for studying tumor-immune interactions by applying the method to tumor samples from two different subtypes of breast cancer and their matched normal breast tissue controls.

The integrative RNA-seq-based HLA typing approach described in the study, coupled with HLA expression analysis, neoantigen prediction and immune cell infiltration, may help increase our understanding of the interplay between a patient's tumor and immune system; and provide further insights into the immune mechanisms that determine a positive or negative outcome following treatment with immunotherapy such as checkpoint blockade.

论文信息

作者
Sverchkova A、Burkholz S、Rubsamen R、Stratford R、Clancy T
第一作者单位
NEC OncoImmunity, Oslo Cancer Cluster, Innovation Park, Oslo, Norway.Norway
通讯作者单位
NEC OncoImmunity, Oslo Cancer Cluster, Innovation Park, Oslo, Norway. trevor@oncoimmunity.com.Norway
文献类型
非美国政府资助研究
期刊
BMC medical genomics2024 Jan 27
原文标识
PubMed 38281021 · DOI 10.1186/s12920-024-01808-8