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Unveiling Novel Double-Negative Prostate Cancer Subtypes Through Single-Cell RNA Sequencing Analysis
Siyuan Cheng1,2, Lin Li1,2, Yunshin Yeh3
1Department of Biochemistry and Molecular biology, LSU Health Shreveport, Shreveport, LA.
Biorxiv : the Preprint Server for Biology
|May 15, 2024
Summary
Single-cell RNA sequencing identified novel prostate cancer (PCa) subtypes, KRT7 and progenitor-like cells, distinct from NEPCa. These findings, integrated into the HuPSA and MoPSA datasets, offer new diagnostic and therapeutic avenues for PCa research.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Prostate cancer (PCa) exhibits significant heterogeneity, necessitating advanced methods for subtype discovery.
- Single-cell RNA sequencing (scRNAseq) offers unprecedented resolution for dissecting cellular diversity in complex diseases like PCa.
Approach:
- Integrated multiple scRNAseq datasets to create comprehensive Human Prostate Single cell Atlas (HuPSA) and Mouse Prostate Single cell Atlas (MoPSA) datasets.
- Performed comprehensive bioinformatic analysis to identify novel PCa cell populations.
- Developed a web application (HuPSA-MoPSA) for interactive gene expression visualization.
Key Points:
- Identified two novel double-negative PCa populations: KRT7+ cells and SOX2/FOXA2+ progenitor-like cells.
- These novel subtypes are distinct from neuroendocrine prostate cancer (NEPCa) and exhibit stem/progenitor characteristics.
- HuPSA-based deconvolution validated the presence of these subtypes in human PCa specimens.
Conclusions:
- The HuPSA and MoPSA datasets provide valuable resources for PCa research.
- Discovery of novel PCa subtypes offers potential for improved clinical diagnosis and targeted treatment strategies.
- The HuPSA-MoPSA web application facilitates accessibility and exploration of these critical datasets.
