Establishing a single-cell RNA sequencing workflow using EUS-guided fine-needle aspiration for pancreatic ductal adenocarcinoma

Background and Objectives: No unified consensus exists regarding standardized protocols for single-cell RNA sequencing (scRNA-seq) analysis of samples obtained via EUS-guided fine-needle aspiration (EUS-FNA). This study aimed to evaluate the feasibility of applying scRNA-seq to EUS-FNA-derived pancreatic ductal adenocarcinoma (PDAC) samples and to compare their quality metrics and cellular composition with those of surgical resection-derived samples. Methods: PDAC samples obtained via EUS-FNA were subjected to scRNA-seq using the 10× Genomics platform. These data were integrated with publicly available PDAC scRNA-seq datasets derived from EUS-FNA and surgical resection samples. Quality-control metrics, doublet estimates, ambient RNA contamination scores, and cell-type composition were compared between sampling methods. Results: Compared with surgical resection-derived samples, EUS-FNA-derived samples showed lower transcript abundance and lower mitochondrial transcript percentages, while exhibiting comparable detected gene numbers, estimated doublet proportions, and ambient RNA contamination scores. These findings suggest that EUS-FNA-derived samples can generate analyzable single-cell transcriptomic profiles under the workflow used in this study. Differences in recovered cell-type composition were observed between sampling methods: EUS-FNA-derived samples showed relatively higher proportions of immune cells, whereas surgical resection-derived samples showed relatively higher recovery of several nonimmune cell populations. These differences may reflect both biological characteristics and sampling-related technical effects. Conclusions: This study supports the feasibility of scRNA-seq analysis using EUS-FNA-derived PDAC samples and suggests that EUS-FNA and surgical resection samples may provide complementary information. Further validation in larger, preferably paired prospective cohorts is warranted.

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Publication Details

Journal
Endoscopic Ultrasound
Published
2026-08-18
DOI
https://doi.org/10.1097/eus.0000000000000214
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

Establishing a single-cell RNA sequencing workflow using EUS-guided fine-needle aspiration for pancreatic ductal adenocarcinoma

Duowu Zou, Yao Zhang, Xinchen Lu, Zonghao Liu et al.
Endoscopic Ultrasound
Single-cell and spatial transcriptomics
article

Establishing a single-cell RNA sequencing workflow using EUS-guided fine-needle aspiration for pancreatic ductal adenocarcinoma

Duowu Zou, Yao Zhang, Xinchen Lu, Zonghao Liu, Lei Liu, Minmin Zhang, Tianyu Zhang, Xiangyi He, Chunhua Zhou, Ling Zhang, Tingting Gong
article en

Abstract

Background and Objectives: No unified consensus exists regarding standardized protocols for single-cell RNA sequencing (scRNA-seq) analysis of samples obtained via EUS-guided fine-needle aspiration (EUS-FNA). This study aimed to evaluate the feasibility of applying scRNA-seq to EUS-FNA-derived pancreatic ductal adenocarcinoma (PDAC) samples and to compare their quality metrics and cellular composition with those of surgical resection-derived samples. Methods: PDAC samples obtained via EUS-FNA were subjected to scRNA-seq using the 10× Genomics platform. These data were integrated with publicly available PDAC scRNA-seq datasets derived from EUS-FNA and surgical resection samples. Quality-control metrics, doublet estimates, ambient RNA contamination scores, and cell-type composition were compared between sampling methods. Results: Compared with surgical resection-derived samples, EUS-FNA-derived samples showed lower transcript abundance and lower mitochondrial transcript percentages, while exhibiting comparable detected gene numbers, estimated doublet proportions, and ambient RNA contamination scores. These findings suggest that EUS-FNA-derived samples can generate analyzable single-cell transcriptomic profiles under the workflow used in this study. Differences in recovered cell-type composition were observed between sampling methods: EUS-FNA-derived samples showed relatively higher proportions of immune cells, whereas surgical resection-derived samples showed relatively higher recovery of several nonimmune cell populations. These differences may reflect both biological characteristics and sampling-related technical effects. Conclusions: This study supports the feasibility of scRNA-seq analysis using EUS-FNA-derived PDAC samples and suggests that EUS-FNA and surgical resection samples may provide complementary information. Further validation in larger, preferably paired prospective cohorts is warranted.

Endoscopic Ultrasound
Shanghai Jiao Tong University (CN), Ruijin Hospital (CN), Luye Pharma (China) (CN)
Openalex Percentile: Top 16%
Single-cell and spatial transcriptomics
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