Abstract A042: Immune heterogeneity across pediatric ependymoma subtypes revealed by B cell repertoire profiling

IF 16.6 1区 医学 Q1 ONCOLOGY
Amelia Stepniak, Stephen C. Frederico, Sydney Jackson, Itay Raphael, Dhivyaa Rajasundaram, Gary Kohanbash
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引用次数: 0

Abstract

Background Ependymomas (EPNs) account for approximately 9% of all primary central nervous system tumors in children, with peak incidence in those under five years old. These tumors are highly heterogeneous and classified into distinct subtypes, such as myxopapillary (MPE), posterior fossa A (PFA), classic spinal, supratentorial YAP1-fused and ZFTA-fused EPN. The clinical behavior varies widely, with PFA EPNs representing the most prevalent and aggressive subtype in young children. While ongoing efforts continue to explore the tumor immune microenvironment, the diversity and functional architecture of B cells in pediatric EPN remain unknown. Defining B cell phenotypes across EPN subtypes may uncover new insights into oncogenic pathways and novel opportunities for targeted immunotherapies. Methods We analyzed non-targeted bulk RNA-sequencing data from over 2,000 pediatric brain tumors using bcRflow, a Nextflow pipeline for reconstructing B cell receptor (BCR) repertoires. This cohort included 179 EPN samples spanning all major subtypes. For each tumor, we examined B cell isotype distribution, clonal expansion, class switch recombination (CSR), somatic hypermutation (SHM) rates, and overall repertoire diversity using diversity metrics such as Chao1, ACE, and the inverse Simpson index. Results Across all samples, EPN demonstrated relatively lower BCR repertoire diversity quantified by diversity indices including Chao1, ACE, and inverse Simpson index. EPNs were further characterized by a dominance of hyperexpanded B cell clonotypes. The majority of the BCR repertoire space was occupied by clones within the [1–10] and [11–100] frequency bins, indicating the expansion of select clonal populations rather than a broadly polyclonal response. Within EPN subtypes, there was notable heterogeneity in isotype usage, IGHV gene usage, and CSR dynamics. The frequency of IgM-expressing B cells is comparatively low across all subtypes. None of the subtypes display IgM as the most abundant isotype, indicating that most B cells within these tumors have undergone CSR away from the naïve IgM phenotype. Conclusions Pediatric EPNs exhibit markedly restricted BCR diversity compared to other pediatric brain tumors, suggesting a limited and potentially oligoclonal B cell repertoire. This indicates a focused, potentially tumor antigen-driven response. Most infiltrating B cells within the samples had already undergone class-switching, with IGHA1 and IGHG1 isotypes predominating over IgM. This shift away from naïve B cells points to immune engagement shaped by unique tumor antigens. Importantly, the immune architecture varied substantially across subtypes like PFA, MPE, spinal, YAP1-fused and ZFTA-fused EPNs. This highlights that EPNs are not immunologically uniform and may reflect distinct immunological pressures and potential therapeutic vulnerabilities. Taken together, these findings reveal a previously underappreciated layer of immune complexity in EPNs and opens new avenues for subtype-informed diagnostics and immunotherapeutic development. Citation Format: Amelia Stepniak, Stephen C. Frederico, Sydney Jackson, Itay Raphael, Dhivyaa Rajasundaram, Gary Kohanbash. Immune heterogeneity across pediatric ependymoma subtypes revealed by B cell repertoire profiling [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Discovery and Innovation in Pediatric Cancer— From Biology to Breakthrough Therapies; 2025 Sep 25-28; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_2): nr A042.
B细胞库分析揭示了儿童室管膜瘤亚型的免疫异质性
室管膜瘤(epn)约占儿童原发性中枢神经系统肿瘤的9%,5岁以下儿童发病率最高。这些肿瘤是高度异质性的,并分为不同的亚型,如黏液乳头状瘤(MPE)、后窝A (PFA)、典型脊柱、幕上yap1融合和zfta融合的EPN。临床表现差异很大,在幼儿中,PFA epn代表最普遍和最具攻击性的亚型。虽然正在进行的研究继续探索肿瘤免疫微环境,但儿童EPN中B细胞的多样性和功能结构仍然未知。定义跨EPN亚型的B细胞表型可能揭示对致癌途径的新见解和靶向免疫治疗的新机会。我们使用Nextflow用于重建B细胞受体(BCR)库的管道bcRflow分析了来自2000多个儿童脑肿瘤的非靶向大量rna测序数据。该队列包括179份EPN样本,涵盖所有主要亚型。对于每个肿瘤,我们使用多样性指标(如Chao1、ACE和逆辛普森指数)检测了B细胞同型分布、克隆扩增、类开关重组(CSR)、体细胞超突变(SHM)率和总体库多样性。结果在所有样本中,EPN表现出相对较低的BCR库多样性,多样性指数包括Chao1、ACE和逆辛普森指数。epn进一步以超扩增B细胞克隆型为主为特征。大部分BCR库空间被[1-10]和[11-100]频带内的克隆占据,这表明选择性克隆群体的扩大,而不是广泛的多克隆反应。在EPN亚型中,同型使用、IGHV基因使用和CSR动态存在显著的异质性。在所有亚型中,表达igm的B细胞频率相对较低。没有一种亚型显示IgM是最丰富的同型,这表明这些肿瘤中的大多数B细胞都经历了远离naïve IgM表型的CSR。结论:与其他儿童脑肿瘤相比,小儿EPNs表现出明显受限的BCR多样性,表明其B细胞库有限且可能是寡克隆的。这表明一个集中的,潜在的肿瘤抗原驱动的反应。样本中大多数浸润的B细胞已经发生了类别转换,IGHA1和IGHG1同型比IgM更占优势。这种从naïve B细胞的转移指向了由独特的肿瘤抗原形成的免疫接合。重要的是,免疫结构在不同亚型(如PFA、MPE、脊柱、yap1融合和zfta融合的epn)之间存在很大差异。这突出表明epn在免疫学上不是统一的,可能反映不同的免疫压力和潜在的治疗脆弱性。综上所述,这些发现揭示了epn中一个以前未被重视的免疫复杂性层,并为亚型诊断和免疫治疗开发开辟了新的途径。引文格式:Amelia Stepniak, Stephen C. Frederico, Sydney Jackson, Itay Raphael, Dhivyaa Rajasundaram, Gary Kohanbash。通过B细胞库分析揭示儿童室管膜瘤亚型的免疫异质性[摘要]。AACR癌症研究特别会议论文集:儿童癌症的发现和创新-从生物学到突破性疗法;2025年9月25日至28日;波士顿,MA。费城(PA): AACR;癌症研究2025;85(18_Suppl_2): nr A042。
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来源期刊
Cancer research
Cancer research 医学-肿瘤学
CiteScore
16.10
自引率
0.90%
发文量
7677
审稿时长
2.5 months
期刊介绍: Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research. With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445. Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.
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