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Qualitative Transcriptional Signature for the Pathological Diagnosis of Pancreatic Cancer

Authors :
Yu-Jie Zhou
Xiao-Fan Lu
Jia-Lin Meng
Xin-Yuan Wang
Xin-Jia Ruan
Chang-Jie Yang
Qi-Wen Wang
Hui-Min Chen
Yun-Jie Gao
Fang-Rong Yan
Xiao-Bo Li
Source :
Frontiers in Molecular Biosciences, Vol 7 (2020)
Publication Year :
2020
Publisher :
Frontiers Media S.A., 2020.

Abstract

It is currently difficult for pathologists to diagnose pancreatic cancer (PC) using biopsy specimens because samples may have been from an incorrect site or contain an insufficient amount of tissue. Thus, there is a need to develop a platform-independent molecular classifier that accurately distinguishes benign pancreatic lesions from PC. Here, we developed a robust qualitative messenger RNA signature based on within-sample relative expression orderings (REOs) of genes to discriminate both PC tissues and cancer-adjacent normal tissues from non-PC pancreatitis and healthy pancreatic tissues. A signature comprising 12 gene pairs and 17 genes was built in the training datasets and validated in microarray and RNA-sequencing datasets from biopsy samples and surgically resected samples. Analysis of 1,007 PC tissues and 257 non-tumor samples from nine databases indicated that the geometric mean of sensitivity and specificity was 96.7%, and the area under receiver operating characteristic curve was 0.978 (95% confidence interval, 0.947–0.994). For 20 specimens obtained from endoscopic biopsy, the signature had a diagnostic accuracy of 100%. The REO-based signature described here can aid in the molecular diagnosis of PC and may facilitate objective differentiation between benign and malignant pancreatic lesions.

Details

Language :
English
ISSN :
2296889X
Volume :
7
Database :
Directory of Open Access Journals
Journal :
Frontiers in Molecular Biosciences
Publication Type :
Academic Journal
Accession number :
edsdoj.4f01abf63f424836940c2b47858bc945
Document Type :
article
Full Text :
https://doi.org/10.3389/fmolb.2020.569842