泛癌单细胞转录组分析揭示胚胎前血管生成基因模块在肿瘤发生过程中的差异表达

IF 2.9 2区 医学 Q2 ONCOLOGY Cancer Medicine Pub Date : 2024-11-11 DOI:10.1002/cam4.70373
Zeshuai Wang, Yiyi Su, Lisha Zhao, Wei Liu, Jiaqi Zhang, Wei Yang, Hanjie Li, Mingqian Feng, Hao Wang, Zhuo Song
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引用次数: 0

摘要

背景:血管生成对于胚胎发育和肿瘤发生过程中的持续生存和进展都是不可或缺的。这一错综复杂的过程受到多种促血管生成基因的严格调控。在胚胎发育和肿瘤增殖过程中,促进血管生成基因模块的存在已得到证实。然而,胚胎发育过程中表达的促血管生成基因模块是否也存在于肿瘤中,这一问题仍未解决:本研究对来自甲状腺癌、肺癌、乳腺癌、肝细胞癌、结直肠癌、卵巢癌和前列腺癌等七种癌症类型的 332 例患者样本进行了泛癌症单细胞 RNA 测序(scRNA-seq)分析。我们使用 Seurat R 软件包进行数据处理,并进行严格的质量控制,以过滤高质量细胞,减轻数据集之间的批次效应。我们使用主成分分析(PCA)、基于共享近邻图的聚类和统一表层逼近与投影(UMAP)来可视化细胞类型并识别不同的细胞群。髓系细胞亚群进一步分析了胚胎促血管生成基因模块(EPGM)和肿瘤促血管生成基因模块(TPGM)的表达:结果:分析确定了肿瘤微环境中的九种主要细胞类型,在所有肿瘤类型中,髓系细胞始终表现出肿瘤促血管生成基因模块(TPGM)和胚胎促血管生成基因模块(EPGM)的高表达。包括巨噬细胞和单核细胞在内的髓样细胞尤其表现出较高的 EPGM 表达,这表明胚胎促血管生成通路在肿瘤中发挥着积极作用。子集分析显示,在不同的癌症中,有20种不同的髓细胞亚型具有不同的EPGM和TPGM表达。治疗和疾病阶段影响了这些基因的表达,某些亚型,如乳腺癌中的HSPAhi/STAT1+巨噬细胞,在治疗后显示出较低的促血管生成基因活性:本研究提供的证据表明,肿瘤可能会利用 EPGM 来增强血管生成和支持持续生长,肿瘤相关髓系细胞中 EPGM 表达的升高就是证明。EPGM在多种癌症类型的TAMs中的一致存在表明,肿瘤利用胚胎血管生成途径促进其进展是一种保守的机制。特定髓系细胞亚群中不同的 EPGM 表达模式预示着潜在的治疗靶点,尤其是在 EPGM 激活导致抗血管生成疗法耐药的情况下。这些发现为我们揭示了肿瘤血管生成的分子机制,并强调了 EPGM 表达与癌症预后的相关性,突出了其作为临床应用生物标志物的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Pan-Cancer Single-Cell Transcriptomic Analysis Reveals Divergent Expression of Embryonic Proangiogenesis Gene Modules in Tumorigenesis

Background

Angiogenesis is indispensable for the sustained survival and progression of both embryonic development and tumorigenesis. This intricate process is tightly regulated by a multitude of pro-angiogenic genes. The presence of gene modules facilitating angiogenesis has been substantiated in both embryonic development and the context of tumor proliferation. However, it remains unresolved whether the pro-angiogenic gene modules expressed during embryonic development also exist in tumors.

Methods

This study performed a pan-cancer single-cell RNA sequencing (scRNA-seq) analysis on samples from 332 patients across seven cancer types: thyroid carcinoma, lung cancer, breast cancer, hepatocellular carcinoma, colorectal cancer, ovarian carcinoma, and prostate adenocarcinoma. Data processing was carried out using the Seurat R package, with rigorous quality control to filter high-quality cells and mitigate batch effects across datasets. We used principal component analysis (PCA), shared nearest neighbor graph-based clustering, and Uniform Manifold Approximation and Projection (UMAP) to visualize cell types and identify distinct cell clusters. Myeloid cell subpopulations were further analyzed for the expression of embryonic pro-angiogenic gene modules (EPGM) and tumor pro-angiogenic gene modules (TPGM).

Results

The analysis identified nine major cell types within the tumor microenvironment, with myeloid cells consistently exhibiting elevated expression of both tumor pro-angiogenic gene modules (TPGM) and EPGM across all tumor types. In particular, myeloid cells, including macrophages and monocytes, showed high EPGM expression, indicating an active role of embryonic pro-angiogenesis pathways in tumors. A subset analysis revealed 20 distinct myeloid subtypes with varying EPGM and TPGM expression across different cancers. Treatment and disease stage influenced these gene expressions, with certain subtypes, such as HSPAhi/STAT1+ macrophages in breast cancer, displaying reduced pro-angiogenic gene activity post-treatment.

Conclusion

This study provides evidence that tumors may exploit EPGM to enhance vascularization and support sustained growth, as evidenced by the elevated EPGM expression in tumor-associated myeloid cells. The consistent presence of EPGM in TAMs across multiple cancer types suggests a conserved mechanism wherein tumors harness embryonic angiogenic pathways to facilitate their progression. Distinct EPGM expression patterns in specific myeloid cell subsets indicate potential therapeutic targets, particularly in cases where EPGM activation contributes to resistance against anti-angiogenic therapies. These findings shed new light on the molecular mechanisms underlying tumor angiogenesis and highlight the prognostic relevance of EPGM expression in cancer, underscoring its potential as a biomarker for clinical applications.

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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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