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An Exosome-based Transcriptomic Signature for Noninvasive, Early Detection of Patients With Pancreatic Ductal Adenocarcinoma: A Multicenter Cohort Study.

Authors :
Nakamura K
Zhu Z
Roy S
Jun E
Han H
Munoz RM
Nishiwada S
Sharma G
Cridebring D
Zenhausern F
Kim S
Roe DJ
Darabi S
Han IW
Evans DB
Yamada S
Demeure MJ
Becerra C
Celinski SA
Borazanci E
Tsai S
Kodera Y
Park JO
Bolton JS
Wang X
Kim SC
Von Hoff D
Goel A
Source :
Gastroenterology [Gastroenterology] 2022 Nov; Vol. 163 (5), pp. 1252-1266.e2. Date of Electronic Publication: 2022 Jul 16.
Publication Year :
2022

Abstract

Background & Aims: Pancreatic ductal adenocarcinoma (PDAC) incidence is rising worldwide, and most patients present with an unresectable disease at initial diagnosis. Measurement of carbohydrate antigen 19-9 (CA19-9) levels lacks adequate sensitivity and specificity for early detection; hence, there is an unmet need to develop alternate molecular diagnostic biomarkers for PDAC. Emerging evidence suggests that tumor-derived exosomal cargo, particularly micro RNAs (miRNAs), offer an attractive platform for the development of cancer-specific biomarkers. Herein, genomewide profiling in blood specimens was performed to develop an exosome-based transcriptomic signature for noninvasive and early detection of PDAC.<br />Methods: Small RNA sequencing was undertaken in a cohort of 44 patients with an early-stage PDAC and 57 nondisease controls. Using machine-learning algorithms, a panel of cell-free (cf) and exosomal (exo) miRNAs were prioritized that discriminated patients with PDAC from control subjects. Subsequently, the performance of the biomarkers was trained and validated in independent cohorts (n = 191) using quantitative reverse transcription polymerase chain reaction (qRT-PCR) assays.<br />Results: The sequencing analysis initially identified a panel of 30 overexpressed miRNAs in PDAC. Subsequently using qRT-PCR assays, the panel was reduced to 13 markers (5 cf- and 8 exo-miRNAs), which successfully identified patients with all stages of PDAC (area under the curve [AUC] = 0.98 training cohort; AUC = 0.93 validation cohort); but more importantly, was equally robust for the identification of early-stage PDAC (stages I and II; AUC = 0.93). Furthermore, this transcriptomic signature successfully identified CA19-9 negative cases (<37 U/mL; AUC = 0.96), when analyzed in combination with CA19-9 levels, significantly improved the overall diagnostic accuracy (AUC = 0.99 vs AUC = 0.86 for CA19-9 alone).<br />Conclusions: In this study, an exosome-based liquid biopsy signature for the noninvasive and robust detection of patients with PDAC was developed.<br /> (Copyright © 2022 AGA Institute. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1528-0012
Volume :
163
Issue :
5
Database :
MEDLINE
Journal :
Gastroenterology
Publication Type :
Academic Journal
Accession number :
35850192
Full Text :
https://doi.org/10.1053/j.gastro.2022.06.090