肺癌胸膜转移中间皮细胞和肿瘤上皮细胞的串联作用

IF 4 2区 医学 Q2 ONCOLOGY
Translational lung cancer research Pub Date : 2024-05-31 Epub Date: 2024-05-29 DOI:10.21037/tlcr-24-118
Pei-Heng Li, Xin Zhang, Huayun Yan, Xuyang Xia, Yiqi Deng, Qiang Miao, Yiqiao Luo, Guihong Liu, Han Luo, Yan Zhang, Heng Xu, Lili Jiang, Zhi-Hui Li, Yang Shu
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引用次数: 0

摘要

背景:肿瘤转移通常会影响晚期肺癌患者的胸膜,并导致恶性胸腔积液(MPE)。MPE与预后不良有关,但在单细胞分辨率下对不同细胞类型及其相互影响缺乏系统研究:方法:我们对肺癌胸腔积液患者进行了单细胞 RNA 测序(scRNA-seq)。接下来,我们的数据与来自正常、非恶性疾病和肺癌患者的 5 个数据集进行了整合。我们对间皮细胞进行了重新聚类,并全面分析了它们与上皮细胞的相互作用。利用推断出的配体-受体对,构建了预后预测模型。进行了间皮细胞与恶性上皮细胞的体外共培养和 RNA-seq 研究。利用表皮生长因子受体(EGFR)拮抗剂西妥昔单抗阻止肺癌细胞的侵袭性。此外,还分析了肺腺癌患者样本中细胞的空间分布,以验证我们的发现:结果:间皮细胞是胸膜的主要细胞类型,其转录组图谱在肿瘤和对照组之间最为明显。间皮细胞是胸膜中最主要的细胞类型,其转录组特征在肿瘤和对照中最为明显,共分为五个亚型,其中一个亚型主要在间皮瘤中发现,其特征是与癌症相关的通路(如细胞迁移)沿着与正常间皮细胞不同的进化轨迹不断丰富。癌症相关间皮细胞(CAMCs)与不同亚型的恶性上皮细胞表现出不同的相互作用,多种配体/受体与不良预后有显著相关性。实验表明,间皮细胞可通过共培养提高肺癌细胞的迁移能力。表皮生长因子受体是癌细胞中唯一与间皮细胞相互作用并与预后不良相关的受影响基因。使用表皮生长因子受体拮抗剂西妥昔单抗可防止间皮细胞增加肺癌细胞的侵袭性。此外,上皮细胞有丝分裂原(EPGN)与表皮生长因子受体(EGFR)之间的相互作用通过空间分布分析得到了支持,显示了EPGN+间皮细胞与EGFR+上皮细胞之间的显著接近性:我们的研究结果突显了间皮细胞及其与癌细胞的相互作用在肺癌胸膜转移中的重要作用,为治疗提供了潜在靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contribution of crosstalk of mesothelial and tumoral epithelial cells in pleural metastasis of lung cancer.

Background: Tumor metastasis commonly affects pleura in advanced lung cancer and results in malignant pleural effusion (MPE). MPE is related to poor prognosis, but without systematic investigation on different cell types and their crosstalk at single cell resolution.

Methods: We conducted single-cell RNA-sequencing (scRNA-seq) of lung cancer patients with pleural effusion. Next, our data were integrated with 5 datasets derived from individuals under normal, non-malignant disease and lung carcinomatous conditions. Mesothelial cells were re-clustered and their interactions with epithelial cells were comprehensively analyzed. Taking advantage of inferred ligand-receptor pairs, a prediction model of prognosis was constructed. The co-culture of mesothelial cells and malignant epithelial cells in vitro and RNA-seq was performed. Epidermal growth factor receptor (EGFR) antagonist cetuximab was utilized to prevent the lung cancer cells' invasiveness. Spatial distribution of cells in lung adenocarcinoma patients' samples were also analyzed to validate our findings.

Results: The most distinctive transcriptome profiles between tumor and control were revealed in mesothelial cells, which is the predominate cell type of pleura. Five subtypes were divided, including one predominately identified in MPE which was characterized by enriched cancer-related pathways (e.g., cell migration) along evolutionary trajectory from normal mesothelial cells. Cancer-associated mesothelial cells (CAMCs) exhibited varied interactions with different subtypes of malignant epithelial cells, and multiple ligands/receptors exhibited significant correlation with poor prognosis. Experimentally, mesothelial cells can increase the migration ability of lung cancer cells through co-culturing. EGFR was the only affected gene in cancer cells that exhibited interaction with mesothelial cells and was associated with poor prognosis. Using EGFR antagonist cetuximab prevented the lung cancer cells' increased invasiveness caused by mesothelial cells. Moreover, epithelial mitogen (EPGN)-EGFR interaction was supported through spatial distribution analysis, revealing the significant proximity between EPGN+ mesothelial cells and EGFR+ epithelial cells.

Conclusions: Our findings highlighted the important role of mesothelial cells and their interactions with cancer cells in pleural metastasis of lung cancer, providing potential targets for treatment.

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来源期刊
CiteScore
7.20
自引率
2.50%
发文量
137
期刊介绍: Translational Lung Cancer Research(TLCR, Transl Lung Cancer Res, Print ISSN 2218-6751; Online ISSN 2226-4477) is an international, peer-reviewed, open-access journal, which was founded in March 2012. TLCR is indexed by PubMed/PubMed Central and the Chemical Abstracts Service (CAS) Databases. It is published quarterly the first year, and published bimonthly since February 2013. It provides practical up-to-date information on prevention, early detection, diagnosis, and treatment of lung cancer. Specific areas of its interest include, but not limited to, multimodality therapy, markers, imaging, tumor biology, pathology, chemoprevention, and technical advances related to lung cancer.
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