Spatially Resolved Microglia/Macrophages in Recurrent Glioblastomas Overexpress Fatty Acid Metabolism and Phagocytic Genes

Author:

Mistry Akshitkumar M.12ORCID,Daneshmand Jonah3ORCID,Seo SeonYeong Jamie1,Lehman Norman L.4,Miller Donald M.25,Goodin Dylan A.6,Frieboes Hermann B.26,Chen Joseph6ORCID,Masters Adrianna27,Williams Brian J.12,Yaddanapudi Kavitha289

Affiliation:

1. Department of Neurosurgery, University of Louisville, Louisville, KY 40202, USA

2. Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA

3. Department of Bioinformatics, University of Louisville, Louisville, KY 40202, USA

4. Departments of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY 40202, USA

5. Department of Medicine, University of Louisville, Louisville, KY 40202, USA

6. Department of Bioengineering, University of Louisville, Louisville, KY 40202, USA

7. Department of Radiation Oncology, University of Louisville, Louisville, KY 40202, USA

8. Department of Microbiology and Immunology, University of Louisville, Louisville, KY 40202, USA

9. Department of Surgery, University of Louisville, Louisville, KY 40202, USA

Abstract

Background: Glioblastoma (GBM) tumors are rich in tumor-associated microglia/macrophages. Changes associated with treatment in this specific cell population are poorly understood. Therefore, we studied changes in gene expression of tumor-associated microglia/macrophages (Iba1+) cells in de novo versus recurrent GBMs. Methods: NanoString GeoMx® Digital Spatial Transcriptomic Profiling of microglia/macrophages (Iba1+) and glial cells (Gfap+) cells identified on tumor sections was performed on paired de novo and recurrent samples obtained from three IDH-wildtype GBM patients. The impact of differentially expressed genes on patient survival was evaluated using publicly available data. Results: Unsupervised analyses of the NanoString GeoMx® Digital Spatial Profiling data revealed clustering based on the transcriptomic data from Iba1+ and Gfap+ cells. As expected, conventional differential gene expression and enrichment analyses revealed upregulation of immune-function-related genes in Iba1+ cells compared to Gfap+ cells. A focused differential gene expression analysis revealed upregulation of phagocytosis and fatty acid/lipid metabolism genes in Iba1+ cells in recurrent GBM samples compared to de novo GBM samples. Importantly, of these genes, the lipid metabolism gene PLD3 consistently correlated with survival in multiple different publicly available datasets. Conclusion: Tumor-associated microglia/macrophages in recurrent GBM overexpress genes involved in fatty acid/lipid metabolism. Further investigation is needed to fully delineate the role of PLD phospholipases in GBM progression.

Funder

Henry Vogt Endowment Funds

Publisher

MDPI AG

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