高倍空间转录组分析揭示了错配修复缺陷型子宫内膜癌症中不同的免疫成分和HLA I类/DNMT3A/CD8调节轴。

IF 4.9 2区 医学 Q2 CELL BIOLOGY
Cellular Oncology Pub Date : 2024-04-01 Epub Date: 2023-10-17 DOI:10.1007/s13402-023-00885-8
Jingjing Guo, Baijie Tang, Jing Fu, Xuan Zhu, Wenlong Xie, Nan Wang, Zhiyong Ding, Zhentao Song, Yue Yang, Gang Xu, Xue Xiao
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引用次数: 0

摘要

目的:携带错配修复缺陷(MMRd)的肿瘤的特征是新抗原的高负荷,并且被认为在免疫检查点阻断治疗(如抗PD-1/PD-L1治疗)时会引发免疫原性反应。然而,其机制仍不明确,因为患有MMRd的多种癌症对免疫检查点抑制剂(ICIs)表现出不同的反应。在子宫内膜癌症(EC)中,存在一种独特的肿瘤微环境(TME),可能与治疗相关的疗效相对应。我们旨在描述具有异常MMR途径的EC患者,以确定易对ICI治疗产生反应的分子亚型。方法:我们应用数字空间图谱,一种覆盖1800多个基因的高复杂度空间转录组学方法,在45名MMRd EC患者中获得高分辨率的TME景观。我们使用共123名MMRd-EC患者的研究中和独立队列,交叉验证了使用免疫组织化学和多重免疫荧光识别的多种生物标志物,并使用来自微卫星不稳定性癌症(MSI-EC)患者的外部TCGA数据验证了我们的发现。结果:高复杂度空间分析在MMRd肿瘤富集区发现了14个基因特征,根据其不同的免疫特征将肿瘤分为“热”、“中间”和“冷”组,这一发现与相应的CD8高度一致 + T细胞浸润状态。我们的验证研究进一步证实了现有的涉及HLA I类和DNMT3A的协同调节网络,该网络可能通过结合CCL5的动态串扰桥接。结论:我们的研究证实了MMRd EC中的异质性TME状态,并表明这些EC可以根据潜在的生物标志物如HLA I类进行分层,DNMT3A和CD8在病理环境中用于改善该亚群患者的ICI治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

High-plex spatial transcriptomic profiling reveals distinct immune components and the HLA class I/DNMT3A/CD8 modulatory axis in mismatch repair-deficient endometrial cancer.

High-plex spatial transcriptomic profiling reveals distinct immune components and the HLA class I/DNMT3A/CD8 modulatory axis in mismatch repair-deficient endometrial cancer.

Purpose: Tumors bearing mismatch repair deficiency (MMRd) are characterized by a high load of neoantigens and are believed to trigger immunogenic reactions upon immune checkpoint blockade treatment such as anti-PD-1/PD-L1 therapy. However, the mechanisms are still ill-defined, as multiple cancers with MMRd exhibit variable responses to immune checkpoint inhibitors (ICIs). In endometrial cancer (EC), a distinct tumor microenvironment (TME) exists that may correspond to treatment-related efficacies. We aimed to characterize EC patients with aberrant MMR pathways to identify molecular subtypes predisposed to respond to ICI therapies.

Methods: We applied digital spatial profiling, a high-plex spatial transcriptomic approach covering over 1,800 genes, to obtain a highly resolved TME landscape in 45 MMRd-EC patients. We cross-validated multiple biomarkers identified using immunohistochemistry and multiplexed immunofluorescence using in-study and independent cohorts totaling 123 MMRd-EC patients and validated our findings using external TCGA data from microsatellite instability endometrial cancer (MSI-EC) patients.

Results: High-plex spatial profiling identified a 14-gene signature in the MMRd tumor-enriched regions stratifying tumors into "hot", "intermediate" and "cold" groups according to their distinct immune profiles, a finding highly consistent with the corresponding CD8 + T-cell infiltration status. Our validation studies further corroborated an existing coregulatory network involving HLA class I and DNMT3A potentially bridged through dynamic crosstalk incorporating CCL5.

Conclusion: Our study confirmed the heterogeneous TME status within MMRd-ECs and showed that these ECs can be stratified based on potential biomarkers such as HLA class I, DNMT3A and CD8 in pathological settings for improved ICI therapeutic efficacy in this subset of patients.

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来源期刊
Cellular Oncology
Cellular Oncology ONCOLOGY-CELL BIOLOGY
CiteScore
10.30
自引率
1.50%
发文量
86
审稿时长
12 months
期刊介绍: The Official Journal of the International Society for Cellular Oncology Focuses on translational research Addresses the conversion of cell biology to clinical applications Cellular Oncology publishes scientific contributions from various biomedical and clinical disciplines involved in basic and translational cancer research on the cell and tissue level, technical and bioinformatics developments in this area, and clinical applications. This includes a variety of fields like genome technology, micro-arrays and other high-throughput techniques, genomic instability, SNP, DNA methylation, signaling pathways, DNA organization, (sub)microscopic imaging, proteomics, bioinformatics, functional effects of genomics, drug design and development, molecular diagnostics and targeted cancer therapies, genotype-phenotype interactions. A major goal is to translate the latest developments in these fields from the research laboratory into routine patient management. To this end Cellular Oncology forms a platform of scientific information exchange between molecular biologists and geneticists, technical developers, pathologists, (medical) oncologists and other clinicians involved in the management of cancer patients. In vitro studies are preferentially supported by validations in tumor tissue with clinicopathological associations.
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