Figure S2 from A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosis and Staging of Pancreatic Ductal Adenocarcinoma
Year: 2023
Type: other
Abstract: Figure S2. miRNA sequencing to discover miRNA biomarkers to discern PDAC from non-cancer. (A) Raw miRNA sequencing data from 6 healthy controls, 6 non-cancer disease controls, 5 M0 PDAC patients, and 12 M1 PDAC patients. (B) 8 potential miRNA candidates were selected using least absolute shrinkage and selection operator (LASSO) for cancer versus non-cancer, achieving AUC=1 within discovery cohort. (C) We selected 5 out of 8 miRNA candidates based on their abundance as detected by qPCR (Cq < 40) and show the average fold changes of these 5 miRNAs between patient groups. (D) We validated these miRNAs by calculating the correlation coefficient between their qPCR data and the miRNA sequencing data. The overall R2 = 0.6
Authors: Zijian Yang, Michael J. LaRiviere, Jina Ko, Jacob E. Till, Theresa Christensen, Stephanie S. Yee, Taylor A. Black, Kyle Tien, Andrew Lin, Hanfei Shen, Neha Bhagwat, Daniel Herman, Andrew Adallah, Mark H. O'Hara, Charles M. Vollmer, Bryson W. Katona, Ben Z. Stanger, David Issadore, Erica L. Carpenter
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4361888827