Abstract

605 Background: There is a substantial clinical unmet need for an accurate and effective blood biomarker of NET disease. We therefore evaluated under real-world conditions the clinical utility of the NETest in a NET Center of Excellence and compare it with the biomarker CgA. Methods: Cohorts: GEP-NET (253), BP-NET (49), colon cancer (37), lung cancers (80), benign lung disease (59) and controls (86). GEP-NETs: 164 (65%) had image-detectable disease or were resection-margin (R1) positive. Grading included G1 [106], G2 [49] and G3 [9]. BP-NETs, 28 of 49 (57%) had evidence of disease. Grading was TC [14], AC [14]. Disease status (stable [SD] or progressive [PD]) determined by RECIST 1.1. Blood sampling: NETest ( n= 565) and NETest/CgA matched samples (135). NETest (PCR) (0-100 score) with positive > 20; progressive > 40. CgA (ELISA). All samples deidentified, and measurement/ analyses blinded. Statistics: Mann-Whitney U-test, McNemar’s test and AUROC. Results: GEPNET: NETest was significantly higher (34.4±1.8, p< 0.0001) in NET disease versus no NET disease (10.5±1, p< 0.0001), non-NET disease (18±4, p= 0.0004) or controls (7±0.5, p< 0.0001). Diagnostic sensitivity was 89%, and specificity 94%. NETest levels were not related to grade (G1: 32±2 vs. G2: 38±3, p= 0.09). BPNET: NETest was significantly higher (30±1.3) vs no NET disease (24.1±1.3, p= 0.0049). Diagnostic sensitivity 100%. Levels were elevated vs controls ( p< 0.0001) and non-NET disease (20±2, p= 0.0001). NETest levels were not related to grade (TC 30±2 vs. AC: 30±2, p= NS). Levels were elevated in PD (55±5.5) vs SD (33.6±2, p= 0.0005). AUCs for detecting disease ranged between 0.89 (GEP-NET) to 1.0 (BE-NET) ( p< 0.0001). Matched GEP-NETS (135): NETest was significantly more accurate for detecting NETS (99%) than CgA (53%, McNemar’s test Chi2= 87, p= 0.0001). sensitivity (99%) and specificity (96%) were better than CgA (37% and 96% respectively). Conclusions: The NETest is an accurate diagnostic test for both GEP- and BP-NEN. It defines clinical status (stable or progressive disease). NETest is significantly more accurate than CgA. The multianalyte genomic blood assessment of NET disease provided clinical information of utility in management.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call