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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.
Full description
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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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
2,539 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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