Single-cell transcriptomics reveals long noncoding RNAs associated with tumor biology and the microenvironment in pancreatic cancer

Author:

Dang Ha X123,Saha Debanjan14,Jayasinghe Reyka1,Zhao Sidi1,Coonrod Emily1,Mudd Jacqueline5,Goedegebuure S Peter5,Fields Ryan25,Ding Li12ORCID,Maher Christopher A1236ORCID

Affiliation:

1. Department of Internal Medicine, Washington University in St Louis , St Louis , MO 63110 , USA

2. Siteman Cancer Center, Washington University in St Louis , St Louis , MO 63110 , USA

3. McDonnell Genome Institute, Washington University in St Louis , St Louis , MO 63108, USA

4. MD–PhD Program, Washington University in St Louis , St Louis , MO 63110 , USA

5. Department of Surgery, Washington University in St Louis , St Louis , MO 63110 , USA

6. Department of Biomedical Engineering, Washington University in St Louis , St Louis , MO 63130 , USA

Abstract

Abstract Pancreatic ductal adenocarcinoma (PDAC) is highly heterogeneous and lethal. Long noncoding RNAs (lncRNAs) are an important class of genes regulating tumorigenesis and progression. Prior bulk transcriptomic studies in PDAC have revealed the dysregulation of lncRNAs but lack single-cell resolution to distinguish lncRNAs in tumor-intrinsic biology and the tumor microenvironment (TME). We analyzed single-cell transcriptome data from 73 multiregion samples in 21 PDAC patients to evaluate lncRNAs associated with intratumoral heterogeneity and the TME in PDAC. We found 111 cell-specific lncRNAs that reflected tumor, immune and stromal cell contributions, associated with outcomes, and validated across orthogonal datasets. Single-cell analysis of tumor cells revealed lncRNAs associated with TP53 mutations and FOLFIRINOX treatment that were obscured in bulk tumor analysis. Lastly, tumor subcluster analysis revealed widespread intratumor heterogeneity and intratumoral lncRNAs associated with cancer hallmarks and tumor processes such as angiogenesis, epithelial–mesenchymal transition, metabolism and immune signaling. Intratumoral subclusters and lncRNAs were validated across six datasets and showed clinically relevant associations with patient outcomes. Our study provides the first comprehensive assessment of the lncRNA landscape in PDAC using single-cell transcriptomic data and can serve as a resource, PDACLncDB (accessible at https://www.maherlab.com/pdaclncdb-overview), to guide future functional studies.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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