Blood-Based microRNA Biomarker Signature of Early-Stage Pancreatic Ductal Adenocarcinoma With Lead-Time Trajectory in Prediagnostic Samples
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background and Aims Clinically validated biomarker of pancreatic ductal adenocarcinoma (PDAC), carbohydrate antigen 19-9 (CA19-9), has limited sensitivity and specificity for early-stage disease. Circulating miRNAs in plasma associated with cancer relevant pathways were developed as early detection biomarkers. Methods 2083 miRNAs in 15 μl of plasma from multicenter age-matched cohorts ( N = 203: healthy controls, n = 46; pancreatitis controls, n = 36; diagnosed cases: n = 121) and a prediagnostic Prostate, Lung, Colorectal, and Ovarian age- and gender-matched cohort ( N = 96; controls, n = 48; prediagnosed cases, n = 48) were interrogated. A three-miRNA biomarker signature was developed for early-stage PDAC. Results The three-miRNA signature (let-7i-5p, miR-130a-3p and miR-221-3p) detected PDAC from healthy controls independently (area under the curve [AUC] of stage I, II, I-IV = 0.970, 0.975, 0.974) and in combination with CA19-9 (AUC of stage I, II, I-IV = 1.000, 0.992, 0.995). It also discriminated chronic pancreatitis (AUC of stage I, II, I-IV = 0.932, 0.931, 0.929), improving performance of CA19-9 alone (AUC of stage I, II, I-IV = 0.763, 0.701, 0.735) in combination (AUC of stage I, II, I-IV = 0.971, 0.943, 0.951). Blinded validation in prediagnostic Prostate, Lung, Colorectal, and Ovarian cohort revealed lead-time trajectory increase in AUC from 0.702 to 0.729 to 0.757 at twelve-, six-, and three-months before PDAC diagnosis, respectively. The signature also helped stratification of patients with different circulating tumor DNA and imaging subtypes. Conclusion Plasma miRNAs associated with oncogenic pathways may serve as PDAC early detection biomarkers.
Source: Gastro Hep Advances
Authors: Warapen Treekitkarnmongkol, Jianliang Dai, Suyu Liu, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W. Hurd, Meng Chen, Hiroshi Katayama, Sinchita Roy-Chowdhuri, George A. Calin, Randall E. Brand, Paul D. Lampe, Tony Y. Hu, Anirban Maitra, Eugene J. Koay, Ann M. Killary, Subrata Sen
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,000
OpenAlex ID: W4401352114
