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| Name | Class |
|---|---|
| Allina Health System | OTHER |
| Medical College of Wisconsin | OTHER |
| University of Kansas Medical Center | OTHER |
| University of Texas Southwestern Medical Center |
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With so many therapeutic options available (i.e.: biologic therapy, liver directed therapy, radiotherapy and chemotherapy), the purpose of this project is to partner with patients on comparative effectiveness research (CER) to achieve the goal of alleviating undue toxicity, and optimizing effectiveness and sequencing of therapy for neuroendocrine tumors (NET) patients. We will conduct a study of all newly occurring GEP-NET and lung NET cases aged 18 years and older diagnosed between 01/01/2018 through 09/30/2024 across 14 sites participating in the National Patient-Centered Clinical Research Network (PCORnet), enrolling an average of 215 patients per site over the 3 year study period (2515 patients total), allowing up to 60 months of follow-up for medical record outcomes. Participants will complete four online or paper surveys over 18 months; these surveys will focus on patient-reported outcomes, including questions on quality of life, treatment decisions, and experiences with cancer care. Survey data will be linked to participant medical record data to achieve study aims.
NETs are a group of neoplasms that occur most frequently in the gastrointestinal tract, pancreas and the lungs, collectively referred to as gastroenteropancreatic (GEP-NETs) and lung-NETs. There are currently fewer than 180,000 patients living with this condition in the United States, meeting the criteria for rare disease status. NETs are typically slow growing, with vague signs and a myriad of symptoms (carcinoid syndrome) leading to diagnostic delays. Thus, NET patients typically experience a prolonged clinical course with active disease, and many have significant symptom burdens. However, assessment of quality of life outside of therapy trials remains scarce and of poor quality. What's more, over half of GEP-NETs are diagnosed with spread of their disease at diagnosis and are not candidates for curative surgery. Fortunately, many of these tumors are amenable to long-term medical treatment with somatostatin analogues (SSAs)- which slow down the production of hormones, especially serotonin, which helps to control the symptoms of carcinoid syndrome. However, living with distant spread of the disease increases the probability for the disease to progress. Following failure of first-line SSA therapy there are no clear consensus guidelines as to the optimum sequencing of other therapeutic options. NET patients are left wondering not only 'what therapy would be best to try next?', but 'if I were to take this option now, what treatment options will be closed off to me in the future?' and clinicians are unsure as to how best to tailor treatment selection on the characteristics of the patient and their tumor.
There is currently no large nationally recruiting prospective (forward in time) observational study of NET patients. Our large study will robustly generate real-world evidence on the frequency and sequence of commonly used treatments for GEP and lung NET patients in relation to Patient Reported Outcomes (PROs) and survival/progression, endpoints that matter most to NET patients, their caregivers, and clinicians involved in their care. Given the lack of consensus guidelines as to the optimum sequencing of treatments, evidence generated in this study will aid patient (and clinician) navigation and selection of the next most appropriate therapy, accounting for the preferences and needs of the individual patient, whilst respecting the underlying profile of their tumor. Moreover, the infrastructure this study will generate (i.e.: electronic identification of NET patients, entry and completion of tumor table data in PCORnet, and a unique NET patient health record portal), will foster future CER studies in NETs and other rare diseases.
The four specific aims of this project are:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| NET patient observational cohort | Patients diagnosed with lung or gastrointestinal neuroendocrine tumors |
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| Measure | Description | Time Frame |
|---|---|---|
| European Organisation for Research and Treatment of Cancer - Quality of Life Questionnaire (EORTC QLQ-C30) | Incorporates five functional scales (physical, role, cognitive, emotional, and social), three symptom scales (fatigue, pain, and nausea and vomiting), a global health status / QoL scale, and a number of single items assessing additional symptoms commonly reported by cancer patients (dyspnea, loss of appetite, insomnia, constipation and diarrhea) and perceived financial impact of the disease. Responses to the QLQ-C30 will be linearly transformed to a 0-100 scale using EORTC guidelines, a higher score represents a higher ("better") level of functioning, or a higher ("worse") level of symptoms. | Change in score across baseline, 6, 12, and 18 month time points. |
| European Organisation for Research and Treatment of Cancer - Quality of Life Questionnaire - Neuroendocrine Carcinoid Module (EORTC QLQ-GI.NET21) | The QLQ-GINET21 contains a total of 21 items: four single-item assessments relating to muscle and/or bone pain (MBP), body image (BI), information (INF) and sexual functioning (SX), together with 17 items organized into five proposed scales: endocrine symptoms (ED; three items), GI symptoms (GI; five items), treatment-related symptoms (TR; three items), social functioning (SF) of the new module (SF21; three items) and disease-related worries (DRW; three items). Responses to the QLQ-GINET21 will be linearly transformed to a 0-100 scale using EORTC guidelines, with higher scores reflecting more severe symptoms. | Change in score across baseline, 6, 12, and 18 month time points. |
| Sequencing of treatment regimens from electronic medical records (% of patients using modality) | Ordering of treatment receipt i.e.: first-line, 2nd line 3rd line therapies | Up to 5 years |
| Renal function | Creatinine clearance loss (per/Yr) | Change in score across baseline, 6, 12, and 18 month time points. |
| Measure | Description | Time Frame |
|---|---|---|
| Norfolk Carcinoid Symptom Score | Patient-reported symptoms | Change in score across baseline, 6, 12, and 18 month time points. |
| Experiences with cancer care (from CANCORS) | 13 items to assess cancer care as described at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2953972/ |
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Inclusion Criteria:
Exclusion Criteria:
Any GEP-NET/Lung NET prior to 1/1/18, as evidenced by medical record information on diagnoses and/or medications and/or treatments and/or test results and/or clinical notes and/or procedures and/or encounters and/or tumor characteristics
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Inclusion/exclusion criteria will be assessed by a combination of a computable phenotype (computer code or algorithm) that is run against participating site electronic medical record and/or tumor registry data holdings, and/or manual review of patient EMR; and patient self-report.
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| Name | Affiliation | Role |
|---|---|---|
| Michael O'Rorke, PhD | University of Iowa | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Florida | Gainesville | Florida | 32611-5500 | United States | ||
| University of Iowa |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 42043735 | Derived | O'Rorke MA, McDowell BD, Xu T, DeCook RR, Gryzlak BM, Rudzianski NJ, Serrano KC, Wehrheim AM, Grewal US, Chandrasekharan C, Dillon JS, Halfdanarson TR, Schnell MJ, Witter CL, Gamblin TC, Kazmi S, Cowell LG, Else T, Soares HP, Sukrithan V, Chandaka S, Sanoff HK, He FC, Geller DA, Ramirez RA, Liu M, Lancaster W, Mailman JA, Moran H, Wahmann M, Gellerman E, Chrischilles EA. Assessing Patient Characteristics in Neuroendocrine Tumor Research: A Comparison of the NET-PRO Study to SEER Population-Based Data. Endocrine. 2026 Apr 27;91(1):141. doi: 10.1007/s12020-026-04611-w. |
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De-identified individual participant data (IPD) will be made available to researchers and details will be provided.
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | May 6, 2022 | May 11, 2022 |
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| OTHER |
| University of Utah | OTHER |
| University of Florida | OTHER |
| Ohio State University | OTHER |
| University of Michigan | OTHER |
| University of Pittsburgh Medical Center | OTHER |
| Medical University of South Carolina | OTHER |
| University of North Carolina, Chapel Hill | OTHER |
| Vanderbilt University Medical Center | OTHER |
| Mayo Clinic | OTHER |
| Northern California CarciNET Community | UNKNOWN |
| Neuroendocrine Cancer Awareness Network | UNKNOWN |
| Neuroendocrine Tumor Research Foundation | UNKNOWN |
| Healing NET Foundation | UNKNOWN |
| Patient-Centered Outcomes Research Institute | OTHER |
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| Change in score across baseline, 6, 12, and 18 month time points. |
| Progression-free survival | Time to event | 1-, 3-, and 5-year |
| Overall survival | Time to event | Up to 5 years |
| Adverse toxicities | Incident acute renal failure, dialysis and liver failure during follow-up | Up to 5 years |
| Presence of Acute Renal Failure Diagnosis | Common Data Model (CDM) diagnosis codes for acute renal failure and dialysis | Up to 5 years |
| Health related Quality of Life (HRQoL) by PRRT regimen | Changes in HRQOL | Change in score across baseline, 6, 12, and 18 month time points. |
| Symptom scores by PRRT regimen | Changes in symptom scores | Change in score across baseline, 6, 12, and 18 month time points. |
| Renal toxicity (creatinine clearance) by PRRT isotope | Creatinine clearance loss (per/Yr) 177Lu vs 90Y | Up to 5 years |
| Renal toxicity of PRRT by primary tumor location & grade 3 disease | Creatinine clearance loss (per/Yr) GEP-NETs vs lung NETs and G3 | Up to 5 years |
| Iowa City |
| Iowa |
| 52242 |
| United States |
| University of Kansas Medical Center Research Institute, Inc | Kansas City | Kansas | 66103-2937 | United States |
| Regents of the University of Michigan | Ann Arbor | Michigan | 48109-1340 | United States |
| Allina Health System | Minneapolis | Minnesota | 55407 | United States |
| Mayo Clinic Rochester | Rochester | Minnesota | 55905 | United States |
| The University of North Carolina at Chapel Hill | Chapel Hill | North Carolina | 27599-1350 | United States |
| The Ohio State University | Columbus | Ohio | 43210 | United States |
| University of Pittsburgh | Pittsburgh | Pennsylvania | 15260-3203 | United States |
| The Medical University of South Carolina | Charleston | South Carolina | 29407-4636 | United States |
| Vanderbilt University Medical Center | Nashville | Tennessee | 37203 | United States |
| UT Southwestern Medical Center | Dallas | Texas | 75390-9020 | United States |
| University of Utah | Salt Lake City | Utah | 84112 | United States |
| Medical College of Wisconsin, Inc | Milwaukee | Wisconsin | 53226 | United States |
| Prot_000.pdf |
| ID | Term |
|---|---|
| D018358 | Neuroendocrine Tumors |
| C535650 | Gastro-enteropancreatic neuroendocrine tumor |
| D018278 | Carcinoma, Neuroendocrine |
| ID | Term |
|---|---|
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D009380 | Neoplasms, Nerve Tissue |
| D000230 | Adenocarcinoma |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
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