Sa1897 Novel Evidence for Interleukin-8 (IL-8) As a Predictive Biomarker of Response to 5fluorouracil Based Chemotherapy in Colorectal Cancer

Abstract

BACKGROUND. Early and non-invasive detection of gastric cancer (GC) is remaining a challenge in many high-risk areas. OBJECTIVES. To investigate the feasibility of gastric cancer and peptic ulcer disease detection by measuring volatile organic compounds (VOCs) in the exhaled breath by a nanomaterial-based sensor technology. METHODS. Alveolar exhaled breath samples were collected from 99 GC patients, 53 peptic ulcer disease (PUD) patients and 342 controls in Latvia (Caucasian population) having been investigated by upper endoscopy. Nanomaterial-based sensors Gold nano particles (GNP) and single-wall carbon nanotube (SWCNT) were used to discriminate the GC and the PUD groups from the healthy controls by loading discriminant factor analysis (DFA) pattern recognition. Classification success was calculated by (i) building an algorithm for 70% of the samples as a training set and (ii) randomly blinding 30% of the samples as a validation set. RESULTS. The blind DFA models showed: (i) An excellent discrimination between the GC patients and controls (91% accuracy); (ii) An excellent discrimination between the GC patients and PUD patients (86% accuracy); (iii) Good discrimination between the PUD patients and controls (80% accuracy). CONCLUSIONS: The obtained results are demonstrating the good potential of VOC detection in exhaled breath by nanomaterial-based sensor technology in diagnosing GC and PUD. Performance characteristics of nanomaterial-based sensor technology to detect gastric cancer and peptic ulcer disease