RT Journal Article SR Electronic T1 Metabolic Signature on 18F-FDG PET/CT, HER2 Status, and Survival in Gastric Adenocarcinomas JF Journal of Nuclear Medicine Technology JO J. Nucl. Med. Technol. FD Society of Nuclear Medicine SP 234 OP 238 DO 10.2967/jnmt.116.181479 VO 44 IS 4 A1 Romulo Celli A1 Monica Colunga A1 Natalie Patel A1 Mehdi Djekidel A1 Dhanpat Jain YR 2016 UL http://tech.snmjournals.org/content/44/4/234.abstract AB The human epidermal growth factor 2 (HER2)–overexpressing (HER2-positive [HER2+]) gastric (GC) and gastroesophageal junction adenocarcinomas (GEJC) are felt to represent a more aggressive form of disease, which may correlate to increased metabolic activity. Whether tumor SUVmax measured by 18F-FDG PET/CT could be a preoperative parameter used to predict HER2 status of GC/GEJC is unknown. Methods: Pathology reports of HER2+ GC/GEJC biopsies and resections from 31 patients were reviewed and compared with HER2-negative (HER2−) cases distributed evenly over the same time period. We analyzed their SUVmax intensity and then compared the HER2 status and SUVmax parameters and their association with survival. Results: After matching for age and sex, there was no difference in SUVmax between HER2+ and HER2− cases (9.7 and 8.4, respectively; P = 0.6). No difference was seen between HER2+ and HER2− cases in tumor histology (81% and 57% intestinal type, respectively; P = 0.11), size (2.6 and 3.8 cm, respectively; P = 0.12), differentiation (47% and 68% poorly differentiated, respectively; P = 0.06), or presence of lymph node metastasis (60% and 40%, respectively; P = 0.3). Although there was no difference in survival demonstrated by HER2+ and HER2− cases, there was a significant difference in survival between SUVmax above (12.2 mo) and below (30 mo) the median SUVmax (6.6, P = 0.01). Conclusion: Our study shows that SUVmax is not associated with HER2 status of GC/GEJC. Independent of HER2 overexpression, patients with a high SUVmax demonstrate a worse overall survival, suggesting that metabolic signature is a better predictor of biologic tumor aggressiveness than its histologic signature.