Rediscovering Biomarkers for the Diagnosis and Early Treatment Response in NEN (REBORN)
Study Details
Study Description
Brief Summary
This is a multicentre, controlled, observational prospective study on new biomarkers, as immune profiling, angiogenetic markers and circRNA from TEPs in the diagnosis and in the evaluation of treatment response in pulmonary and gastro-entero-pancreatic NENs.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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Detailed Description
Neuroendocrine Neoplasm (NEN) are heterogeneous disease in terms of origin, localization and clinical presentation. Annual incidence of NEN is increasing in the last 30 years, even if the reasons underlying this rise have not been completely identified.
Many biomarkers have been used in the diagnosis and follow-up of patients with NEN. In non-functioning NEN general tumor markers, such as chromogranin A (CgA) and neuron specific enolase (NSE), are commonly used but their sensibility and specificity are quite low.
Recently, high-throughput tissue microarray and immunohistochemistry assessments have been performed to observe the expression pattern of new potential markers for NEN. In order to overcome limitations of tissue acquisition, the use of liquid biopsies has been advocated. It has been reported that tumor-educated platelets (TEPs) may easily enable blood-based cancer diagnostics. TEPs take up tumor-derived secreted membrane vesicles containing RNAs, of which circular RNAs (circRNAs) that can serve as a potential biomarker source for cancer diagnostics. This innovative approach in cancer detection has not yet been transferred to the NEN field.
Flow cytometric analysis furnishes important insights into the immune status by providing information about the numbers and phenotypes of the immune cells, which are known to be altered in many types of neoplasms. In NEN, leukocytes subpopulations and peripheral blood mononuclear cells (PBMCs) are not been completely investigated but immunological alterations could represent a signal of neoplastic spread.
Inflammatory and angiogenetic pathways' involvement in NEN behavior has recently received increasing attention. It is well known that NEN are known to be highly vascularized neoplasms and somatostatin analogues (SSA), used as first line drugs for most well differentiated NEN, can reduce tumour proliferation by various direct and indirect mechanism including the inhibition of angiogenesis.
Tumor angiogenesis is a complicated process consisting of several steps, the angiogenesis cascade, regulated by endogenous and exogenous factors, including the system Angiopoietin-1 (Ang-1) and -2 (Ang-2) / Tie2 and Prokineticins. These systems are involved in neoplastic angiogenesis and inflammation in various types of cancer. Despite these evidences, the role of inflammatory and angiogenic factors in NEN detection and follow-up has not been completely clarified.
The aim of the study is to evaluate immune profiling, angiogenetic markers and circularRNA sequencing in patients affected by locally advanced or metastatic pulmonary or GEP NENs and controls. Moreover, NENs patients will be evaluated also after 1 and 3 months of first line medical treatment.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Neuroendocrine toumor group 30 patients (18-80 years, males and females) affected by histologically-proven neuroendocrine neoplasms, locally advanced or metastatic, originating from pulmonary or gastro-entero-pancreatic (GEP) tract, candidate to medical therapy. |
Drug: Somatostatin analog; chemotherapy
According to current ENETS guidelines, patients will be treated by somatostatin analogs or chemotherapy, recommended respectively as first line therapy in neuroendocrine tumours or neuroendocrine neoplasms.
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| Control group Patients affected by other non-malignant endocrine disease, e.g. benign thyroid disfunction (18-80 years, males and females) |
Outcome Measures
Primary Outcome Measures
- To evaluate the modification of the angiogenetic mediator sTie2 after treatment. [baseline - + 1 month - +3 months]
Modification of sTie (soluble Tie2) after treatment
Secondary Outcome Measures
- To evaluate the difference in the angiogenetic mediator sTie2 between patients and controls [baseline]
Comparison of basal levels of sTie between patients and controls
- To validate the use of circular RNAs from TEPs in NEN diagnosis [baseline]
Validation of the use of circular RNAs sequencing from tumor educated platelets (TEPs) in NETs diagnosis, through the comparison between patients and controls
- To evaluate the changing in circular RNAs from TEPs in NEN patients after somatostatin analogs treatment [baseline - + 1 month - +3 months]
Modification in circular RNAs sequencing from tumor educated platelets (TEPs) in patients after treatment
- To compare circular and cellular angiogenesis mediators between patients and controls [baseline]
Comparison of basal level of other circular and cellular angiogenesis mediators between patients and controls (Angiogenic factors: ANG1, ANG2, FGF1, FGF2, NRP1, NRP2, VEGFA, VEGFB, VEGFC, HIF1A, NOS3, PROK1, PROK2; Cytokines: CCL11, CCL2, CXCL1, CXCL10, CXCL5, CXCL6, CXCL9, IL1B, IL6, TNF; Receptors and other angiogenic factors: VEGFR1, VEGFR2, TIE2, PDGFR, TGFBR, MMP14, MMP2, MMp9, TIMP1, TIMP2, TIMP3, PROKR1, PROKR2)
- To evaluate the changing in circular and cellular angiogenesis mediators after treatment. [baseline - + 1 month - +3 months]
Modification of other circular and cellular angiogenesis mediators in patients after treatment (Angiogenic factors: ANG1, ANG2, FGF1, FGF2, NRP1, NRP2, VEGFA, VEGFB, VEGFC, HIF1A, NOS3, PROK1, PROK2; Cytokines: CCL11, CCL2, CXCL1, CXCL10, CXCL5, CXCL6, CXCL9, IL1B, IL6, TNF; Receptors and other angiogenic factors: VEGFR1, VEGFR2, TIE2, PDGFR, TGFBR, MMP14, MMP2, MMp9, TIMP1, TIMP2, TIMP3, PROKR1, PROKR2)
- To quantify PBMC subpopulation in patients and controls [baseline]
Quatification of peripheral blood mononuclear cells (PBMC) subpopulations in patients and controls
- To evaluate the modification of PBMC subpopulation in patients after treatment [baseline - + 1 month - +3 months]
Modification of peripheral blood mononuclear cells (PBMC) subpopulations in patients after treatment
- To compare classical neuroendocrine markers serum levels between patients and controls [baseline]
Comparison of basal serum level of classical neuroendocrine markers (chromogranin a and neuron specific enolase) between patients and controls
- To evaluate the modification of classical neuroendocrine markers in patients after treatment [baseline - + 1 month - +3 months]
Modification of classical neuroendocrine markers (chromogranin a and neuron specific enolase) in patients after treatment
- To evaluate infectious diseases frequency and severity between patients and controls [baseline]
Frequencies and severity of infectious diseases will be evaluated by modified Infectious Diseases Questionnaire (GNC). This questionnaire includes questions on infectious diseases of upper and lower respiratory tract, gastrointestinal tract, skin and urogenital tract contracted during the previous 12 months. Questions investigate on the number and duration of infections, necessity of antibiotic or antifungal therapy, hospital stay and days of absence from work. Final score represents the frequency of infections. Moreover, some questions investigate possible susceptible or protective factors for infectious diseases: vaccinations, use of corticosteroids, concomitant diseases, previous appendectomy, tonsillectomy, adenoidectomy, splenectomy or thymectomy.
- To evaluate the difference in quality of life questionnaire in patients and controls [baseline]
Quality of life will be evaluated by the Physical Component score and the Mental Component score of the self-administered questionnaire SF-36-Item Health Survey questionnaire. This questionnaire measures eight scales: physical functioning, role physical, bodily pain, general health (physical component) and vitality, social functioning, role emotional, mental health (mental component). Interpretation of the score will be the following: at each item of the questionnaire corresponds a percentage value (from 0% to 100%). The average of the single items constitutes the scale total percentage (from 0% to 100%); missing data are not considered during calculation. High score defines a more favorable health state.
- To evaluate the modification in quality of life questionnaire in patients after treatment [baseline - + 1 month - +3 months]
Quality of life will be evaluated by the Physical Component score and the Mental Component score of the self-administered questionnaire SF-36-Item Health Survey questionnaire. This questionnaire measures eight scales: physical functioning, role physical, bodily pain, general health (physical component) and vitality, social functioning, role emotional, mental health (mental component). Interpretation of the score will be the following: at each item of the questionnaire corresponds a percentage value (from 0% to 100%). The average of the single items constitutes the scale total percentage (from 0% to 100%); missing data are not considered during calculation. High score defines a more favorable health state.
Eligibility Criteria
Criteria
Inclusion Criteria:
-
Histologically-proven NENs, locally advanced or metastatic, originating from pulmonary or gastro-entero-pancreatic (GEP) tract, candidate to first line medical therapy (study group);
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Patients affected by other non-malignant endocrine disease, e.g. benign thyroid disfunction (control group).
Exclusion Criteria:
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Severe chronic kidney disease (stage 4-5);
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Clinical or laboratory signs of significant respiratory, cardiological and hepatobiliary disease;
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Other non-neuroendocrine malignancies.
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Andrea M Isidori | Rome | Italy | 00161 |
Sponsors and Collaborators
- University of Roma La Sapienza
Investigators
- Principal Investigator: Andrea M Isidori, MD, PhD, Department of Experimental Medicine, Sapienza University of Rome
Study Documents (Full-Text)
None provided.More Information
Publications
- Best MG, Sol N, Kooi I, Tannous J, Westerman BA, Rustenburg F, Schellen P, Verschueren H, Post E, Koster J, Ylstra B, Ameziane N, Dorsman J, Smit EF, Verheul HM, Noske DP, Reijneveld JC, Nilsson RJA, Tannous BA, Wesseling P, Wurdinger T. RNA-Seq of Tumor-Educated Platelets Enables Blood-Based Pan-Cancer, Multiclass, and Molecular Pathway Cancer Diagnostics. Cancer Cell. 2015 Nov 9;28(5):666-676. doi: 10.1016/j.ccell.2015.09.018. Epub 2015 Oct 29.
- Fiedler U, Augustin HG. Angiopoietins: a link between angiogenesis and inflammation. Trends Immunol. 2006 Dec;27(12):552-8. Epub 2006 Oct 12. Review.
- Harris AL, Reusch P, Barleon B, Hang C, Dobbs N, Marme D. Soluble Tie2 and Flt1 extracellular domains in serum of patients with renal cancer and response to antiangiogenic therapy. Clin Cancer Res. 2001 Jul;7(7):1992-7.
- Joosse SA, Pantel K. Tumor-Educated Platelets as Liquid Biopsy in Cancer Patients. Cancer Cell. 2015 Nov 9;28(5):552-554. doi: 10.1016/j.ccell.2015.10.007.
- Monnier J, Samson M. Prokineticins in angiogenesis and cancer. Cancer Lett. 2010 Oct 28;296(2):144-9. doi: 10.1016/j.canlet.2010.06.011. Epub 2010 Jul 14. Review.
- Sol N, Wurdinger T. Platelet RNA signatures for the detection of cancer. Cancer Metastasis Rev. 2017 Jun;36(2):263-272. doi: 10.1007/s10555-017-9674-0. Review.
- Reborn Study