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Liquid biopsy as surrogate for tissue for molecular profiling in pancreatic cancer: A meta-analysis towards precision medicine

Authors :
Christopher Parris
Lee Smith
Vera Cappelletti
Christopher L. Wolfgang
Lodewijk A.A. Brosens
Alessia Nottegar
Michele Milella
Laura D. Wood
Aldo Scarpa
Liang Cheng
Nicola Veronese
Claudio Luchini
Maria Gabriella Caruso
Maria Grazia Daidone
Roberto Salvia
Luchini, C.
Veronese, N.
Nottegar, A.
Cappelletti, V.
Daidone, M.G.
Smith, L.
Parris, C.
Brosens, L.A.A.
Caruso, M.G.
Cheng, L.
Wolfgang, C.L.
Wood, L.D.
Milella, M.
Salvia, R.
Scarpa, A.
Source :
Cancers, Vol 11, Iss 8, p 1152 (2019), Cancers, Cancers, 11(8). Multidisciplinary Digital Publishing Institute (MDPI)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

Liquid biopsy (LB) is a non-invasive approach representing a promising tool for new precision medicine strategies for cancer treatment. However, a comprehensive analysis of its reliability for pancreatic cancer (PC) is lacking. To this aim, we performed the first meta-analysis on this topic. We calculated the pooled sensitivity, specificity, positive (LR+) and negative (LR-) likelihood ratio, and diagnostic odds ratio (DOR). A summary receiver operating characteristic curve (SROC) and area under curve (AUC) were used to evaluate the overall accuracy. We finally assessed the concordance rate of all mutations detected by multi-genes panels. Fourteen eligible studies involving 369 patients were included. The overall pooled sensitivity and specificity were 0.70 and 0.86, respectively. The LR+ was 3.85, the LR- was 0.34 and DOR was 15.84. The SROC curve with an AUC of 0.88 indicated a relatively high accuracy of LB for molecular characterization of PC. The concordance rate of all mutations detected by multi-genes panels was 31.9%. LB can serve as surrogate for tissue in the molecular profiling of PC, because of its relatively high sensitivity, specificity and accuracy. It represents a unique opportunity to be further explored towards its introduction in clinical practice and for developing new precision medicine approaches against PC. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

Details

Language :
English
ISSN :
20726694
Database :
OpenAIRE
Journal :
Cancers, Vol 11, Iss 8, p 1152 (2019), Cancers, Cancers, 11(8). Multidisciplinary Digital Publishing Institute (MDPI)
Accession number :
edsair.doi.dedup.....2294a4fac1b2f417e50e7b9ee7bf5e6b