Pulmonary Carcinoids and Low-Grade Gastrointestinal Neuroendocrine Tumors Show Common MicroRNA Expression Profiles, Different from Adenocarcinomas and Small Cell Carcinomas
| Autor: | Yuichi Ishikawa, Masaaki Matsuura, Masashi Fukayama, Noriko Motoi, Noriko Yamamoto, Toshiharu Yamaguchi, Hiroko Nagano, Sakae Okumura, Toyoki Yoshimoto, Masaru Ushijima |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Adult
Male 0301 basic medicine medicine.medical_specialty Pathology Lung Neoplasms Adolescent Endocrinology Diabetes and Metabolism Cell Carcinoid Tumor Adenocarcinoma Neuroendocrine tumors Biology Neuroendocrinology Young Adult 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine Endocrinology Internal medicine microRNA Biomarkers Tumor medicine Cluster Analysis Humans Carcinoma Small Cell Aged Gastrointestinal Neoplasms Aged 80 and over Lung Endocrine and Autonomic Systems Microarray analysis techniques Middle Aged Microarray Analysis medicine.disease Gene Expression Regulation Neoplastic MicroRNAs Neuroendocrine Tumors 030104 developmental biology medicine.anatomical_structure 030220 oncology & carcinogenesis Female Neoplasm Grading |
| Zdroj: | Neuroendocrinology. 106:47-57 |
| ISSN: | 1423-0194 0028-3835 |
| DOI: | 10.1159/000461582 |
| Popis: | Background: It is still uncertain whether small cell lung carcinomas (SCLCs), pulmonary carcinoids, and the gastrointestinal neuroendocrine tumors (GI-NETs) have a common origin. MicroRNA (miRNA) expression may clarify their genetic relationships and origin. Methods: First, we compared the miRNA expression signature of formalin-fixed paraffin-embedded (FFPE) samples with frozen samples to verify the applicability of microarray analysis. Second, we compared the comprehensive miRNA expression patterns of pulmonary carcinoids and GI-NETs as well as other types of tumors and normal tissues from each organ using FFPE samples. These data were analyzed by hierarchical clustering and consensus clustering with nonnegative matrix factorization. Results: We confirmed that FFPE samples retained the miRNA signatures. In the first hierarchical clustering comparing carcinoids/NETs with adenocarcinomas and normal tissues, most of the carcinoids (48/50) formed 1 major cluster with loose subpartitioning into each organ type, while all the adenocarcinomas (9/9) and normal tissues (15/15) formed another major cluster. The nonnegative matrix factorization approach largely matched the classification of the hierarchical clustering. In the additional cluster analysis comparing carcinoids/NETs with SCLCs, most carcinoids/NETs (17/22) formed a major cluster, while SCLCs (9/9) grouped together with pulmonary adenocarcinomas (3/3) and normal tissues (6/6) in another major cluster. Furthermore, a subset of miRNAs was successfully identified that exhibited significant expression in carcinoids/NETs. Conclusion: Carcinoids/NETs had a characteristic pattern of miRNA expression, suggesting a common origin for pulmonary carcinoids and GI-NETs. The expression profiles of pulmonary carcinoids and SCLCs were quite different, indicating the distinct histogenesis of these neuroendocrine neoplasms. |
| Databáze: | OpenAIRE |
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