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Neuroendocrine tumors are derived from the neuroendocrine system of the gastroenteropancreatic and bronchopulmonary tract systems. Treatment options include surgery, medical and ablative therapies as well as peptide-receptor radionuclide therapy. Survival is linked to early and accurate diagnoses or to the effective detection of disease recurrence and/or treatment failure. One challenge is to develop accurate non-invasive blood tests that can detect neuroendocrine tumor activity. A second challenge is to evaluate the effectiveness of molecular biomarkers in the natural history of this disease. RegisterNET registry aims at collecting data and blood samples from patients presenting with a NET. Data will be entered prospectively and anonymized after informed consent. All physicians who treat neuroendocrine tumor patients are invited to participate to the registry through prospective agreements and sub-study protocols with Wren Laboratories. Data will be evaluated within regular time frames, focusing on diagnostic accuracy for biomarkers in the different types and grades of tumors, treatment modalities and patient outcomes (e.g. disease recurrence and survival), thereby contributing to an understanding of the role of biomarkers in tumor management.
Background: Survival for neuroendocrine tumors is linked to early and accurate diagnoses or to the effective detection of disease recurrence and/or treatment failure. Non-invasive biomarkers have been identified that can improve diagnosis and prognosis of patients. Little, however, is known about the utility of these markers in clinical practice.
Objective: To systematically and prospectively collect clinical information and blood samples for NETest from neuroendocrine tumors to evaluate the clinical validity of this biomarker for diagnosis, surveillance, and prediction of disease prognosis and response to targeted therapeutics.
Methods: All neuroendocrine tumors (gastroenteropancreatic and pulmonary) are following informed consent. Data will be entered prospectively and anonymized. Patient history including a quality of life survey are completed by contributing physicians and blood sample is collected for analysis. All information will be transferred to the database. Evaluation of treatment modalities and patient outcomes (e.g. disease recurrence) will be assessed at follow-up times.
The primary objectives of the project are to:
The secondary objectives of the project include:
Analyses will include:
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| NETest | Device | Non-invasive blood test |
|
| Measure | Description | Time Frame |
|---|---|---|
| Tumor-related recurrence or progression | Image-based identification of recurrent or progressive tumor disease | 5 years |
| Tumor-related diagnosis | Histological confirmation of neuroendocrine tumor | 1 year |
| Tumor-related mortality | Survival from disease | 10 years |
| Measure | Description | Time Frame |
|---|---|---|
| Quality of Life Evaluation | Questionnaire to evaluate quality of life status | 5 years |
| Biomarker prediction of treatment response and disease relapse | Biomarker prediction of treatment response and disease relapse. This involves measurements of changes in NETest levels between two time-points. Changes can be in actual values or be evaluated as % change. Alterations in blood measurements can be correlated with survival curves (PFS and/or OS). |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with a histologically confirmed diagnosis of a neuroendocrine tumor undergoing treatment and follow-up evaluation. This includes real-world patients as well as patients included in investigator-initiated clinical studies (IICS) e.g., PRRT or curative surgery.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Wren Laboratories | Branford | Connecticut | 06405 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 23691035 | Background | Modlin IM, Drozdov I, Kidd M. The identification of gut neuroendocrine tumor disease by multiple synchronous transcript analysis in blood. PLoS One. 2013 May 15;8(5):e63364. doi: 10.1371/journal.pone.0063364. Print 2013. | |
| 24127543 | Background | Modlin IM, Drozdov I, Kidd M. Gut neuroendocrine tumor blood qPCR fingerprint assay: characteristics and reproducibility. Clin Chem Lab Med. 2014 Mar;52(3):419-29. doi: 10.1515/cclm-2013-0496. |
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De-identififed, anonymized information including changes in NETest and outcomes e.g., PFS.
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| ID | Term |
|---|---|
| D018358 | Neuroendocrine Tumors |
| D002276 | Carcinoid Tumor |
| D018278 | Carcinoma, Neuroendocrine |
| D018450 | Disease Progression |
| ID | Term |
|---|---|
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
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Blood collection (RNA stabilization tube) used for neuroendocrine tumor biomarker measurements (NETest)
| 10 years |
| 25015994 | Background | Modlin IM, Drozdov I, Alaimo D, Callahan S, Teixiera N, Bodei L, Kidd M. A multianalyte PCR blood test outperforms single analyte ELISAs (chromogranin A, pancreastatin, neurokinin A) for neuroendocrine tumor detection. Endocr Relat Cancer. 2014 Aug;21(4):615-28. doi: 10.1530/ERC-14-0190. |
| 25095873 | Background | Modlin IM, Drozdov I, Bodei L, Kidd M. Blood transcript analysis and metastatic recurrent small bowel carcinoid management. BMC Cancer. 2014 Aug 5;14:564. doi: 10.1186/1471-2407-14-564. |
| 39945192 | Result | Kidd M, Drozdov IA, Chirindel A, Nicolas G, Imagawa D, Gulati A, Tsuchikawa T, Prasad V, Halim AB, Strosberg J. NETest(R) 2.0-A decade of innovation in neuroendocrine tumor diagnostics. J Neuroendocrinol. 2025 Apr;37(4):e70002. doi: 10.1111/jne.70002. Epub 2025 Feb 13. |
| 30158287 | Result | Liu E, Paulson S, Gulati A, Freudman J, Grosh W, Kafer S, Wickremesinghe PC, Salem RR, Bodei L. Assessment of NETest Clinical Utility in a U.S. Registry-Based Study. Oncologist. 2019 Jun;24(6):783-790. doi: 10.1634/theoncologist.2017-0623. Epub 2018 Aug 29. |
| 32392558 | Derived | Kidd M, Kitz A, Drozdov I, Modlin I. Neuroendocrine Tumor Omic Gene Cluster Analysis Amplifies the Prognostic Accuracy of the NETest. Neuroendocrinology. 2021;111(5):490-504. doi: 10.1159/000508573. Epub 2020 May 11. |
| D009380 | Neoplasms, Nerve Tissue |
| D000230 | Adenocarcinoma |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |