2022
DOI: 10.1007/s11154-022-09771-4
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The uprise of RNA biology in neuroendocrine neoplasms: altered splicing and RNA species unveil translational opportunities

Abstract: Neuroendocrine neoplasms (NENs) comprise a highly heterogeneous group of tumors arising from the diffuse neuroendocrine system. NENs mainly originate in gastrointestinal, pancreatic, and pulmonary tissues, and despite being rare, show rising incidence. The molecular mechanisms underlying NEN development are still poorly understood, although recent studies are unveiling their genomic, epigenomic and transcriptomic landscapes. RNA was originally considered as an intermediary between DNA and protein. Today, compe… Show more

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Cited by 6 publications
(14 citation statements)
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“…The differences observed in the expression pro le of the splicing machinery in pulmonary carcinoid tissue and its surrounding non-neoplastic tissue was expectable, in line to that observed by our group and others in various types of cancer, including pancreatic neuroendocrine tumors (21,23,25,(45)(46)(47)(48). Unlike in other cancers (e.g.…”
Section: Discussionsupporting
confidence: 87%
See 4 more Smart Citations
“…The differences observed in the expression pro le of the splicing machinery in pulmonary carcinoid tissue and its surrounding non-neoplastic tissue was expectable, in line to that observed by our group and others in various types of cancer, including pancreatic neuroendocrine tumors (21,23,25,(45)(46)(47)(48). Unlike in other cancers (e.g.…”
Section: Discussionsupporting
confidence: 87%
“…Notwithstanding this limitation, the differences found do illustrate that tumor tissue displays a distinct splicing machinery landscape. Actually, in keeping with that found in most tumors (except for pituitary adenomas; (21,23,25,(45)(46)(47), the altered components showed higher expression in tumor tissue than in non-tumor tissue, inviting to further explore these molecules as potential diagnostic and prognostic biomarkers. In this regard, selection of the best candidates to be studied in detail can bene t from a two-pronged approach combining objective biocomputational scoring (41) and assessing their association with clinically relevant parameters.…”
Section: Discussionsupporting
confidence: 69%
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