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Serum lipidomic study reveals potential early biomarkers for predicting response to chemoradiation therapy in advanced rectal cancer: A pilot study

Authors :
Piero Del Boccio, PhD
Francesca Perrotti, MD
Claudia Rossi, PhD
Ilaria Cicalini, MSc
Sara Di Santo, MD
Mirco Zucchelli, PhD
Paolo Sacchetta, PhD
Domenico Genovesi, MD
Damiana Pieragostino, PhD
Source :
Advances in Radiation Oncology, Vol 2, Iss 2, Pp 118-124 (2017)
Publication Year :
2017
Publisher :
Elsevier, 2017.

Abstract

Purpose: Prospective detection of patients with advanced rectal cancer (LARC) who have a higher probability of responding to preoperative chemoradiotherapy (CRT) may provide individualized therapy. Lipidomics is an emerging science dedicated to the characterization of lipid fingerprint involved in different pato-physiological conditions. The purpose of this study is to highlight a typical lipid signature able to predict the tumor response to CRT. Experimental Design: A prospective global analysis of lipids in 54 sera from 18 LARC patients treated with preoperative CRT was performed. Samples were collected at 3 time points: before (T0), at 14th day and at 28th day of CRT. An open LC-MS/MS analysis was performed to characterize lipid expression at T0. Differential lipids were validated by an independent approach and studied during treatment. Results: From 65 differential lipids highlighted between responder (RP) vs not responder (NRP) patients, five lipids were validated to predict response at T0: SM(d18:2/18:1), LysoPC (16:0/0:0), LysoPC (15:1(9z)/0:0), Lyso PE (22:5/0:0) and m/z= 842.90 corresponding to a PC containing 2 fatty acids of 40 carbons totally. The levels of these lipids were lower in NRP before treatment. The ROC curve obtained by combining these five lipid signals showed an AUC of 0.95, evidence of good sensitivity and specificity in discriminating groups. Conclusion: Our results are in agreement with previous evidences about the role of lipids in determining the tumor response to therapy and suggest that the study of serum lipid could represent a useful tool in prediction of CRT response and in personalizing treatment.

Details

Language :
English
ISSN :
24521094
Volume :
2
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Advances in Radiation Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.8c3b1c5c55342dca4203d57bed44d29
Document Type :
article
Full Text :
https://doi.org/10.1016/j.adro.2016.12.005