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Molecular Genomic Assessment Using a Blood-based mRNA Signature (NETest) is Cost-effective and Predicts Neuroendocrine Tumor Recurrence With 94% Accuracy.
Modlin, Irvin M; Kidd, Mark; Frilling, Andrea; Falconi, Massimo; Filosso, Pier Luigi; Malczewska, Anna; Kitz, Alexandra.
Afiliação
  • Modlin IM; Yale University School of Medicine, New Haven, CT.
  • Kidd M; Wren Laboratories, Branford, CT.
  • Frilling A; Imperial College London, London, United Kingdom.
  • Falconi M; IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Filosso PL; University of Torino, Torino, Italy.
  • Malczewska A; Medical University of Silesia, Katowice, Poland.
  • Kitz A; Wren Laboratories, Branford, CT.
Ann Surg ; 274(3): 481-490, 2021 09 01.
Article em En | MEDLINE | ID: mdl-34183517
INTRODUCTION: Identification of residual disease after neuroendocrine tumor (NET) resection is critical for management. Post-surgery imaging is insensitive, expensive, and current biomarkers ineffective. We evaluated whether the NETest, a multigene liquid biopsy blood biomarker, correlated with surgical resection and could predict recurrence. METHODS: Multicenter evaluation of NET resections over 24 months (n = 103): 47 pancreas, 26 small bowel, 26 lung, 2 appendix, 1 duodenum, 1 stomach. Surgery: R0 (83), R1/R2 (20). One millilitre of blood was collected at D0 and posroperative day (POD) 30. Transcript quantification by polymerase chain reaction (normal: ≤20), CgA by NEOLISA (normal ≤108 ng/mL). Standard-of-care (SoC) follow-up costs were calculated and compared to POD30 NETest-stratification approach. Analyses: Wilcoxon-paired test, Chi-square test. D BIOMARKERS: NETest: 103 of 103 (100%)-positive, whereas 23 of 103 (22%) were CgA-positive (Chi-square = 78, P < 0.0001).In the R0 group, the NETest decreased 59 ± 28 to 26 ± 23 (P < 0.0001); 36% (30/83) remained elevated. No significant decrease was evident for CgA. In the R1/R2 group the NETest decreased but 100% remained elevated. CgA levels did not decrease.An elevated POD30 NETest was present in R0 and 25 (83%) developed radiological recurrences. Normal score R0 s (n = 53) did not develop recurrence (Chi-square = 56, P < 0.0001). Recurrence prediction was 94% accurate with the NETest. COST EVALUATION: Using the NETest to stratify postoperative imaging resulted in a cost-savings of 42%. CONCLUSION: NETest diagnosis is more accurate than CgA (100% vs 22%). Surgery significantly decreased NETest. An elevated POD30 NETest predicted recurrence with 94% accuracy and post-surgical POD30 NETest follow-up stratification decreased costs by 42%. CgA had no surgical utility. Further studies would define the accuracy and cost-effectiveness of the NETest in the detection of postoperative recurrent disease.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Tumores Neuroendócrinos / Biópsia Líquida / Recidiva Local de Neoplasia Tipo de estudo: Clinical_trials / Diagnostic_studies / Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Ann Surg Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Tumores Neuroendócrinos / Biópsia Líquida / Recidiva Local de Neoplasia Tipo de estudo: Clinical_trials / Diagnostic_studies / Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Ann Surg Ano de publicação: 2021 Tipo de documento: Article