The purpose of this study is to evaluate the effect of different surgical resections (R0, R1, R2) on circulating NET transcripts (PCR score or NETest). A drop in circulating NET levels will be correlated with surgical excision. Secondly, variation of circulating NET transcripts will be correlated to NET recurrence to test whether this analysis may constitute an early predictive marker of disease relapse.
Biomarker-based tools that can accurately predict gastroenteropancreatic neuroendocrine tumor (GEP-NET) treatment response and tumor recurrence are currently not available. Circulating biomarkers that are associated with GEP-NETs are limited to measurements of plasma chromogranin A (CgA). The investigators have developed a PCR-based tool to quantitate (score) the circulating GEP-NET molecular signature ("liquid" biopsy) with high sensitivity and specificity. This signature can identify all types of GEP-NETs including small (1cm) non-metastatic tumors, is significantly reduced after tumor debulking and is decreased following surgical "cure". Elevated post-surgical scores are associated with tumor recurrence within 6 months in \~40% of cases. Current NET treatment protocols are associated with tumor recurrence (progression free survival) ranging from 5-18 months. The majority of patients will experience a relapse within 18 months irrespective of the treatment approach. The investigators hypothesize that a PCR measurement of circulating NET mRNA can accurately predict the extent of surgical resection (tumor removal) and elevated scores can predict tumor relapse before this occurs. This biomarker protocol seeks to test this hypothesis and evaluate whether changes in plasma CgA are as effective in predicting resection and recurrence.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
40
Surgical excision
San Raffaele Hospital IRCCS
Milan, Italy
Biomarker prediction of tumor recurrence
Analysis of the alterations in the biomarker levels (from post-surgical levels, i.e., month 1) will be utilized to establish when the disease status has altered; a sustained increase in score will be recorded and compared with imaging to assess whether this is associated with disease progression/recurrence.
Time frame: 24 months
Biomarkers and clinical symptomatology
Biomarker scores will be compared to the frequency of clinical symptoms, specifically flushing, to assess whether there is a relationship.
Time frame: 24 months
Biomarkers and clinical symptomatology
Biomarker scores will be compared to the frequency of clinical symptoms, specifically diarrhea, to assess whether there is a relationship.
Time frame: 24 months
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