Clinical immunology (Orlando, Fla.) · 2026
Integrated single cell RNA sequencing and flow cytometry analysis identifies elevated S100A6+ and S100A8+ myeloid subsets in pancreatic ductal adenocarcinoma.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Derakhshani Afshin, Di Fonte Roberta, Porcelli Letizia, Orang Fatemeh Nejadi, Shadbad Mahdi Abdoli, Feriz Adib Miraki, Safarpour Hossein, Dufour Antoine, Baradaran Behzad, Calabrese Angela, Testini Mario, Memeo Riccardo, Di Meo Giovanna, Vincenti Leonardo, Bhardwaj Sonali, Racanelli Vito, Silvestris Nicola, Brunetti Oronzo, Azzariti Amalia
Аннотация
Pancreatic ductal adenocarcinoma (PDAC) is among the most lethal malignancies, underscoring the need for minimally invasive biomarkers to support patient stratification and disease monitoring. In this study, we aimed to identify PDAC-associated immune signatures by reanalyzing a single-cell RNA-sequencing dataset and to validate key findings using flow cytometry in an independent cohort predominantly composed of advanced-stage PDAC. Analysis of peripheral blood mononuclear cells from patients with PDAC and healthy donors revealed increased expression of S100A6, S100A8, and S100A12, particularly within monocytes and dendritic cells. These transcriptional changes were confirmed at the protein level, demonstrating enrichment of S100A6+ monocytes, S100A6+/S100A8+ DCs, activated monocytes, and plasmacytoid DCs in PDAC. Univariate ROC analyses identified S100A6+ plasmacytoid DCs, S100A8+ plasmacytoid DCs, and CD14+CD86+S100A8+ monocytes as candidate PDAC-associated immune features. However, further validation incorporating benign pancreatic conditions and multivariable modeling is required before conclusions can be drawn regarding diagnostic specificity and clinical applicability.