Novel Circulating and Tissue Biomarkers for Small Intestine Neuroendocrine Tumors and Lung Carcinoids

Sammanfattning: Small intestine neuroendocrine tumors (SI-NETs) and lung carcinoids (LCs) are relatively indolent tumors, which originate from neuroendocrine (NE) cells of the diffuse NE system. Metastases can spread before diagnosis. Thus, potential cures become unavailable, which entitles new biomarker development. Indeed, we aimed at developing Ma2 autoantibodies and olfactory receptor 51E1 (OR51E1) as potential novel biomarkers and exploring other candidate protein markers in patients’ serum.First, we established a sensitive, specific and reliable anti-Ma2 indirect ELISA to distinguish SI-NET patients from healthy controls. We detected longer progression-free and recurrence-free survivals in patients expressing low anti-Ma2 titers. Moreover, a high anti-Ma2 titer was more sensitive than chromogranin A for the risk of recurrence after radical operation of SI-NET patients.We then investigated OR51E1 expression in SI-NETs and LCs. OR51E1 mRNA expression, analyzed by quantitative real-time PCR, was high in microdissected SI-NET cells, in LC cell lines and in frozen LC specimens. Immunohistochemistry (IHC) showed abundant OR51E1 protein expression in SI-NETs. OR51E1 co-expressed with vesicular-monoamine-transporter-1 in the majority of normal and neoplastic enterochromaffin cells.Furthermore, the study on LCs revealed that OR51E1, somatostatin receptor (SSTR) 2, SSTR3, and SSTR5 are expressed in 85%, 71%, 25% and 39% of typical carcinoids (TCs), whereas in 86%, 79%, 43% and 36% of atypical carcinoids (ACs). Based on the proposed IHC scoring system, in the LC cases, where all SSTR subtypes were absent, membrane OR51E1 expression was detected in 10 out of 17 TCs and 1 out of 2 ACs. Moreover, higher OR51E1 scores were detected in 5 out of 6 OctreoScan-negative LC lesions.In addition, the last presented study used a novel suspension bead array, which targeted 124 unique proteins, by using Human Protein Atlas antibodies, to profile biotinylated serum samples from SI-NET patients and healthy controls. We showed 9 proteins, IGFBP2, IGF1, SHKBP1, ETS1, IL1?, STX2, MAML3, EGR3 and XIAP as significant contributors to tumor classification.In conclusion, we proposed Ma2 autoantibodies as a sensitive circulating marker for SI-NET recurrence; OR51E1 as a candidate therapeutic target for SI-NETs; whereas as a novel diagnostic marker for LCs and 9 serum proteins as novel potential SI-NET markers.