Characterization of cell-type specific circular RNAs associated with colorectal cancer metastasis

Author:

Zhao Sidi1,Ly Amy1,Mudd Jacqueline L2,Rozycki Emily B1,Webster Jace1,Coonrod Emily1,Othoum Ghofran1,Luo Jingqin34ORCID,Dang Ha X1,Fields Ryan C32,Maher Christopher A135ORCID

Affiliation:

1. Department of Internal Medicine, Washington University School of Medicine , St Louis , MO 63108, USA

2. Department of Surgery, Washington University School of Medicine , St Louis , MO 63108, USA

3. Alvin J. Siteman Cancer Center, Washington University School of Medicine , St Louis , MO 63108, USA

4. Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine , St Louis , MO 63108, USA

5. Department of Biomedical Engineering, Washington University School of Medicine , St Louis , MO 63108, USA

Abstract

Abstract Colorectal cancer (CRC) is the most common gastrointestinal malignancy and a leading cause of cancer deaths in the United States. More than half of CRC patients develop metastatic disease (mCRC) with an average 5-year survival rate of 13%. Circular RNAs (circRNAs) have recently emerged as important tumorigenesis regulators; however, their role in mCRC progression remains poorly characterized. Further, little is known about their cell-type specificity to elucidate their functions in the tumor microenvironment (TME). To address this, we performed total RNA sequencing (RNA-seq) on 30 matched normal, primary and metastatic samples from 14 mCRC patients. Additionally, five CRC cell lines were sequenced to construct a circRNA catalog in CRC. We detected 47 869 circRNAs, with 51% previously unannotated in CRC and 14% novel candidates when compared to existing circRNA databases. We identified 362 circRNAs differentially expressed in primary and/or metastatic tissues, termed circular RNAs associated with metastasis (CRAMS). We performed cell-type deconvolution using published single-cell RNA-seq datasets and applied a non-negative least squares statistical model to estimate cell-type specific circRNA expression. This predicted 667 circRNAs as exclusively expressed in a single cell type. Collectively, this serves as a valuable resource, TMECircDB (accessible at https://www.maherlab.com/tmecircdb-overview), for functional characterization of circRNAs in mCRC, specifically in the TME.

Funder

Washington University School of Medicine in St Louis

Alvin J. Siteman Cancer Center

Foundation for Barnes-Jewish Hospital

National Cancer Institute

Barnard Trust

American Surgical Association Foundation

American Cancer Society

Society of Surgical Oncology

Sidney Kimmel Foundation for Cancer Research

David Riebel Cancer Research Fund

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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