Molecular Genomic Assessment Using a Blood-based mRNA Signature (NETest) is Cost-effective and Predicts Neuroendocrine Tumor Recurrence With 94% Accuracy
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- Irvin M. Modlin
- Yale University School of Medicine, New Haven, CT
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- Mark Kidd
- Wren Laboratories, Branford, CT
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- Andrea Frilling
- Imperial College London, London, United Kingdom
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- Massimo Falconi
- IRCCS San Raffaele Scientific Institute, Milan, Italy
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- Pier Luigi Filosso
- University of Torino, Torino, Italy
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- Anna Malczewska
- Medical University of Silesia, Katowice, Poland.
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- Alexandra Kitz
- Wren Laboratories, Branford, CT
抄録
<jats:sec> <jats:title>Introduction:</jats:title> <jats:p>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.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods:</jats:title> <jats:p>Multicenter evaluation of NET resections over 24 months (<jats:italic toggle="yes">n</jats:italic> = 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.</jats:p> </jats:sec> <jats:sec> <jats:title>Results:</jats:title> </jats:sec> <jats:sec> <jats:title>D0 biomarkers:</jats:title> <jats:p>NETest: 103 of 103 (100%)-positive, whereas 23 of 103 (22%) were CgA-positive (Chi-square = 78, <jats:italic toggle="yes">P</jats:italic> < 0.0001).</jats:p> <jats:p>In the R0 group, the NETest decreased 59 ± 28 to 26 ± 23 (<jats:italic toggle="yes">P</jats:italic> < 0.0001); 36% (30/83) remained elevated. No significant decrease was evident for CgA. In the <jats:italic toggle="yes">R1/R2 group</jats:italic> the NETest decreased but 100% remained elevated. CgA levels did not decrease.</jats:p> <jats:p>An elevated POD30 NETest was present in R0 and 25 (83%) developed radiological recurrences. Normal score R0 s (<jats:italic toggle="yes">n</jats:italic> = 53) did not develop recurrence (Chi-square = 56, <jats:italic toggle="yes">P</jats:italic> < 0.0001). Recurrence prediction was 94% accurate with the NETest.</jats:p> </jats:sec> <jats:sec> <jats:title>Cost evaluation:</jats:title> <jats:p>Using the NETest to stratify postoperative imaging resulted in a cost-savings of 42%.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion:</jats:title> <jats:p>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.</jats:p> </jats:sec>
収録刊行物
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- Annals of Surgery
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Annals of Surgery 274 (3), 481-490, 2021-06-24
Ovid Technologies (Wolters Kluwer Health)