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

Nicola Veronese, Laura D. Wood, Christopher L. Wolfgang, Liang Cheng, Nicola Veronese, Lee Smith, Alessia Nottegar, Maria G. Caruso, Claudio Luchini, Aldo Scarpa, Christopher Parris, Aldo Scarpa, Roberto Salvia, Vera Cappelletti, Maria G. Daidone, Michele Milella, Lodewijk A. A. Brosens

Risultato della ricerca: Articlepeer review

15 Citazioni (Scopus)

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.
Lingua originaleEnglish
Numero di pagine16
RivistaCancers
Volume11
Stato di pubblicazionePublished - 2019

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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