NETest liquid biopsy is diagnostic of small intestine and pancreatic neuroendocrine tumors and correlates with imaging

Author:

Malczewska Anna1,Witkowska Magdalena1,Makulik Karolina1,Bocian Agnes1,Walter Agata1,Pilch-Kowalczyk Joanna2,Zajęcki Wojciech3,Bodei Lisa4,Oberg Kjell5,Kos-Kudła Beata1

Affiliation:

1. 1Department of Endocrinology and Neuroendocrine Tumors, Department of Pathophysiology and Endocrinology, Medical University of Silesia, Katowice, Poland

2. 2Department of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland

3. 3Department of Pathology in Zabrze, Medical University of Silesia, Katowice, Poland

4. 4Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA

5. 5Department of Endocrine Oncology, University Hospital, Uppsala, Sweden

Abstract

Introduction Current monoanalyte biomarkers are ineffective in gastroenteropancreatic neuroendocrine tumors (GEP-NETs). NETest, a novel multianalyte signature, provides molecular information relevant to disease biology. Aim(s) Independently validate NETest to diagnose GEP-NETs and identify progression in a tertiary referral center. Materials and methods Cohorts are 67 pancreatic NETs (PNETs), 44 small intestine NETs (SINETs) and 63 controls. Well-differentiated (WD) PNETs, n = 62, SINETs, all (n = 44). Disease extent assessment at blood draw: anatomical (n = 110) CT (n = 106), MRI (n = 7) and/or functional 68Ga-SSA-PET/CT (n = 69) or 18F-FDG-PET/CT (n = 8). Image-positive disease (IPD) was defined as either CT/MRI or 68Ga-SSA-PET/CT/18F-FDG-PET/CT-positive. Both CT/MRI and 68Ga-SSA-PET/CT negative diagnosis in WD-NETs was considered image-negative disease (IND). NETest (normal: 20): PCR (spotted plates). Data: mean ± SD. Results Diagnosis NETest was significantly increased in NETs (n = 111; 26 ± 21) vs controls (8 ± 4, p < 0.0001). Seventy-five (42 PNET, 33 SINET) were image positive. Eleven (8 PNET, 3 SINET; all WD) were IND. In IPD, NETest was significantly higher (36 ± 22) vs IND (8 ± 7, P < 0.0001). NETest accuracy, sensitivity and specificity are 97, 99 and 95%, respectively Concordance with imaging NETest was 92% (101/110) concordant with anatomical imaging, 94% (65/69) with 68Ga-SSA-PET/CT and 96% (65/68) dual modality (CT/MRI and 68Ga-SSA-PET/CT). In 70 CT/MRI positive, NETest was elevated in all (37 ± 22). In 40 CT/MRI negative, NETest was normal (11 ± 10) in 31. In 56 68Ga-SSA-PET/CT positive, NETest was elevated (36 ± 22) in 55. In 13 68Ga-SSA-PET/CT negative, NETest was normal (9 ± 8) in ten. Disease status NETest was significantly higher in progressive (61 ± 26; n = 11) vs stable disease (29 ± 14; n = 64; P < 0.0001) (RECIST 1.1). Conclusion NETest is an effective diagnostic for PNETs and SINETs. Elevated NETest is as effective as imaging in diagnosis and accurately identifies progression.

Publisher

Bioscientifica

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

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