单细胞转录组分析揭示 TKI 耐药肺癌中 POSTN CAFs 与 ACKR1 ECs 之间的免疫抑制网络

IF 2.6 4区 医学 Q2 GENETICS & HEREDITY
Zhiyi Wang, Ning Yan, Hailong Sheng, Yazhi Xiao, Jingyuan Sun, Chuanhui Cao
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引用次数: 0

摘要

背景/目的:酪氨酸激酶抑制剂(TKI)疗法是晚期非小细胞肺癌(NSCLC)的主要治疗方法,但经常会遇到耐药性的产生。肿瘤微环境(TME)在NSCLC的进展中起着至关重要的作用,但内皮细胞(ECs)和癌相关成纤维细胞(CAFs)亚群在TKI治疗耐药性中的关系在很大程度上仍未得到探讨:利用BioProject数据库PRJNA591860项目分析了49个晚期NSCLC样本的scRNA-seq数据,包括三个不同的时间点:靶向治疗前(幼稚期)、靶向治疗部分反应(PR)后和疾病进展(PD)后阶段。数据涉及将基质细胞聚类为多个 CAFs 和 ECs 亚群。我们通过 KEGG 和 GO 分析研究了 TKI 治疗过程中每个集群的丰度变化和功能。此外,我们还通过 DoRothEA 和 scMetabolism 确定了特定的转录因子和代谢途径。此外,我们还通过 CellChat 比较了 PD 和 PR 阶段的细胞间通讯:利用 49 个 scRNA-seq 样本对 ECs 和 CAFs 进行了聚类和注释。我们发现了七个ECs亚群,其中OIT3 ECs在PR期富集,具有耐药表型,而ACKR1 ECs在PD期盛行,具有增强的细胞粘附性。同样,CAFs 被分为 7 个亚群。PLA2G2A CAFs在PR中占主导地位,而POSTN CAFs则在PD中占主导地位,其特点是免疫调节表型和胶原分泌增加。CellChat分析显示,ACKR1 ECs通过CD39通路与巨噬细胞发生强烈相互作用,而POSTN CAFs则分泌Tenascin-C(TNC),促进上皮细胞(主要是恶性上皮细胞)在PD中的进展:本研究通过单细胞测序发现,POSTN CAFs和ACKR1 ECs与TKI治疗耐药有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-cell Transcriptomic Analysis Reveals an Immunosuppressive Network Between POSTN CAFs and ACKR1 ECs in TKI-resistant Lung Cancer.

Background/aim: Tyrosine kinase inhibitor (TKI) therapy, a principal treatment for advanced non-small cell lung cancer (NSCLC), frequently encounters the development of drug resistance. The tumor microenvironment (TME) plays a critical role in the progression of NSCLC, yet the relationship between endothelial cells (ECs) and cancer-associated fibroblasts (CAFs) subpopulations in TKI treatment resistance remains largely unexplored.

Materials and methods: The BioProject database PRJNA591860 project was used to analyze scRNA-seq data including 49 advanced-stage NSCLC samples across three different time points: pre-targeted therapy (naïve), post-partial response (PR) to targeted therapy, and post-progressive disease (PD) stage. The data involved clustering stromal cells into multiple CAFs and ECs subpopulations. The abundance changes and functions of each cluster during TKI treatment were investigated by KEGG and GO analysis. Additionally, we identified specific transcription factors and metabolic pathways via DoRothEA and scMetabolism. Moreover, cell-cell communications between PD and PR stages were compared by CellChat.

Results: ECs and CAFs were clustered and annotated using 49 scRNA-seq samples. We identified seven ECs subpopulations, with OIT3 ECs showing enrichment in the PR phase with a drug-resistance phenotype, and ACKR1 ECs being prevalent in the PD phase with enhanced cell adhesion. Similarly, CAFs were clustered into 7 subpopulations. PLA2G2A CAFs were predominant in PR, whereas POSTN CAFs were prevalent in PD, characterized by an immunomodulatory phenotype and increased collagen secretion. CellChat analysis showed that ACKR1 ECs strongly interacted with macrophage through the CD39 pathway and POSTN CAFs secreted Tenascin-C (TNC) to promote the progression of epithelial cells, primarily malignant ones, in PD.

Conclusion: This study reveals that POSTN CAFs and ACKR1 ECs are associated with resistance to TKI treatment, based on single-cell sequencing.

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来源期刊
Cancer Genomics & Proteomics
Cancer Genomics & Proteomics ONCOLOGY-GENETICS & HEREDITY
CiteScore
5.00
自引率
8.00%
发文量
51
期刊介绍: Cancer Genomics & Proteomics (CGP) is an international peer-reviewed journal designed to publish rapidly high quality articles and reviews on the application of genomic and proteomic technology to basic, experimental and clinical cancer research. In this site you may find information concerning the editorial board, editorial policy, issue contents, subscriptions, submission of manuscripts and advertising. The first issue of CGP circulated in January 2004. Cancer Genomics & Proteomics is a journal of the International Institute of Anticancer Research. From January 2013 CGP is converted to an online-only open access journal. Cancer Genomics & Proteomics supports (a) the aims and the research projects of the INTERNATIONAL INSTITUTE OF ANTICANCER RESEARCH and (b) the organization of the INTERNATIONAL CONFERENCES OF ANTICANCER RESEARCH.
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