Circulating Neuroendocrine Transcripts and Gene Cluster Analysis Predict the Efficacy of PRRT
Introduction: Prediction of PRRT efficacy is critical. We tested a blood-based multigene NET transcript analysis (NETest) to predict efficacy in 2 PRRT-treated NET cohorts. The algorithm comprises >50 genes + clusters of growth factor signaling (GFS) and metabolism (MTB).
Aim(s): To predict efficacy of PRRT.
Materials and methods: We studied 2 independent 177Lu-PRRT-treated groups: #1 (n= 72), median total activity 18.5GBq (6.5-27.8) and #2 (n= 41), 24.5GBq (11.4-29.7, 24 evaluable pts). At baseline: Ki67, SSR imaging (SRI), CgA (ELISA), and NETest (qRT-PCR - multianalyte algorithmic analyses). Using #1 we mathematically devised a predictive response index (PRI) of NETest (MTB+GFS) & Ki67. We then assessed PRI in #2. RECIST criteria were used. Statistics: multiple regression, Kaplan-Meier survival, Chi2.
Conference: 14th Annual ENETSConcerence (2017)
Presenting Author: Bodei L
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