Circulating Transcript Analysis (NETest) in GEP-NETs Treated With Somatostatin Analogs Defines Therapy

Jarosław B Ćwikła1, Lisa Bodei1, Agnieszka Kolasinska-Ćwikła1

  • 1Department of Radiology, Faculty of Medical Sciences (J.Ć.), University of Warmia and Mazury, Olsztyn 10-558, Poland; Division of Nuclear Medicine (L.B.), European Institute of Oncology, Milan 20141, Italy; Department of Oncology (A.K.-Ć.), Maria Skłodowska-Curie Memorial Cancer Center, Institute of Oncology, Warsaw 44-101, Poland; Department of Radiology (A.S.), Hospital Ministry of Internal Affairs, Warsaw 02-507, Poland; Keewaydin Consulting, Inc. (I.M.M.), Woodbridge, Connecticut 06525; and Wren Laboratories (M.K.), Branford, Connecticut 06405.

Abstract

Insights

Neuroendocrine tumor transcripts (NETest) accurately predict treatment response to somatostatin analogs (SSAs) earlier than Chromogranin A. This blood test aids in managing neuroendocrine neoplasms.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Biomarker Research

Background:

  • Accurate assessment of therapeutic response is critical for managing neuroendocrine neoplasms (NENs).
  • Current imaging methods for NENs have limitations in sensitivity and specificity.
  • The clinical utility of biomarkers for predicting treatment response in NENs remains unclear.

Purpose of the Study:

  • To prospectively evaluate circulating neuroendocrine tumor transcripts (NETest) for predicting treatment response to somatostatin analogs (SSAs).
  • To compare the predictive accuracy and timing of NETest with Chromogranin A (CgA) and imaging.

Main Methods:

  • A prospective cohort study involving 28 patients with Grade 1-2 gastroenteropancreatic neuroendocrine tumors (GEP-NETs) treated with SSAs.
  • Collected whole blood for NETest and plasma for CgA every 4 weeks.
  • Utilized multidetector computed tomography/MRI and functional imaging at baseline and 6-month intervals.

Main Results:

  • NETest (≥80%) significantly differentiated stable disease from progressive disease in a test set (P < .0001).
  • In the prospective set, NETest predicted disease progression (P = .0002) and was the only factor associated with treatment response besides tumor grade.
  • NETest changes preceded disease progression significantly earlier (146 days prior) and in more patients (100%) compared to CgA (56 days prior; 57%).

Conclusions:

  • NETest measurements (80-100%) are more accurate than CgA in predicting SSA treatment response in GEP-NETs.
  • NETest provides an earlier indication of treatment response or progression compared to CgA.
  • NETest represents a valuable non-invasive biomarker for monitoring therapeutic efficacy in neuroendocrine tumor management.

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