NET Blood Transcript Analysis Defines the Crossing of the Clinical Rubicon: When Stable Disease Becomes Progressive

Background/Aims: A key issue in gastroenteropancreatic neuroendocrine tumors (GEP-NETs) is early identification and prediction of disease progression. Clinical evaluation and imaging are limited due to the lack of sensitivity and disease indolence. We assessed the NETest as a predictive and prognost...

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Veröffentlicht in:Neuroendocrinology 2017-01, Vol.104 (2), p.170-182
Hauptverfasser: Pavel, Marianne, Jann, Henning, Prasad, Vikas, Drozdov, Ignat, Modlin, Irvin M., Kidd, Mark
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Sprache:eng
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Zusammenfassung:Background/Aims: A key issue in gastroenteropancreatic neuroendocrine tumors (GEP-NETs) is early identification and prediction of disease progression. Clinical evaluation and imaging are limited due to the lack of sensitivity and disease indolence. We assessed the NETest as a predictive and prognostic marker of progression in a long-term follow-up study. Methods: GEP-NETs (n = 34) followed for a median 4 years (2.2-5.4) were evaluated. WHO tumor grade/stage grade 1: n = 17, grade 2: n = 14, grade 3: n = 1 (for 2, no grade was available); 31 (91%) were stage IV. Baseline and longitudinal imaging and blood biomarkers were available in all, and progression was defined per standard clinical protocols (RECIST 1.0). The NETest was measured by quantitative PCR of blood and multianalyte algorithmic analysis (disease activity scaled 0-100% with low 80%); chromogranin A (CgA) was measured by radioimmunoassay (normal 80%) was significantly associated (p = 0.01) with disease progression (median PFS 0.68 vs. 2.78 years with 25%) in consistently predicting disease alterations (40%, p < 2 × 10 -5 , χ 2 = 18). The NETest had an earlier time point change than imaging (1.02 ± 0.15 years). Baseline NETest levels >40% in stable disease were 100% prognostic of disease progression versus CgA (χ 2 = 5, p < 0.03). Baseline NETest values
ISSN:0028-3835
1423-0194
DOI:10.1159/000446025