Cell diversity and immune infiltration in the parathyroid tumour microenvironment

Author:

Zhang Xiang12ORCID,Hu Ya1,Cui Ming1,Wang Mengyi1,Li Xiaobin1,Zhang Yalu1,Yang Sen1,Hua Surong1,Shen Meiping2ORCID,Liao Quan1ORCID

Affiliation:

1. Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

2. Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China

Abstract

Tumour microenvironment has been recognized as a crucial factor influencing disease progression. However, relevant features and functions are insufficiently understood in parathyroid neoplasia. Single-cell RNA sequencing was performed to profile the transcriptome of 27,251 cells from 4 parathyroid adenoma (PA) tissue samples. External transcriptomic datasets and immunofluorescence staining of a tissue microarray were set for expression validation. Eight major cell types and various subpopulations were finely identified in PA. We found that a subcluster of tumour endocrine cells with low copy number variation probably presented as a resting state. Diverse infiltrating immune cell subtypes were identified, constructing an immunosuppressive microenvironment. Tumour-associated macrophages, which indicated an anti-inflammatory phenotype, were significantly increased in PA. Inflammatory tumour-associated fibroblasts (iTAFs) were newly verified and highlighted on the role of stromal-immune crosstalk. Positive correlation between iTAFs and increased CD163+ macrophages was uncovered. Moreover, CXCL12 receptor signalling is important for tumour angiogenesis and immune infiltration. Our findings provide a comprehensive landscape interpreting tumour cell heterogeneity, cell diversity, and immune regulation in parathyroid neoplasia. The valuable resources may promote the understanding of parathyroid tumour microenvironment.

Publisher

Bioscientifica

Subject

Cancer Research,Endocrinology,Oncology,Endocrinology, Diabetes and Metabolism

Reference44 articles.

1. SCENIC: single-cell regulatory network inference and clustering;Aibar,2017

2. xCell: digitally portraying the tissue cellular heterogeneity landscape;Aran,2017

3. Single-cell map of diverse immune phenotypes in the breast tumor microenvironment;Azizi,2018

4. Much More than M1 and M2 Macrophages, There are also CD169(+) and TCR(+) Macrophages;Chavez-Galan,2015

5. Single-cell RNA-seq reveals dynamic change in tumor microenvironment during pancreatic ductal adenocarcinoma malignant progression;Chen,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3