Characterizing and classifying neuroendocrine neoplasms through microRNA sequencing and data mining

Neuroendocrine neoplasms (NENs) are clinically diverse and incompletely characterized cancers that are challenging to classify. MicroRNAs (miRNAs) are small regulatory RNAs that can be used to classify cancers. Recently, a morphology-based classification framework for evaluating NENs from different...

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Detalles Bibliográficos
Autores principales: Nanayakkara, Jina, Tyryshkin, Kathrin, Yang, Xiaojing, Wong, Justin J M, Vanderbeck, Kaitlin, Ginter, Paula S, Scognamiglio, Theresa, Chen, Yao-Tseng, Panarelli, Nicole, Cheung, Nai-Kong, Dijk, Frederike, Ben-Dov, Iddo Z, Kim, Michelle Kang, Singh, Simron, Morozov, Pavel, Max, Klaas E A, Tuschl, Thomas, Renwick, Neil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Cancer-specific RNAs and RNA Processing
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380486/
https://www.ncbi.nlm.nih.gov/pubmed/32743554
http://dx.doi.org/10.1093/narcan/zcaa009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380486/
https://www.ncbi.nlm.nih.gov/pubmed/32743554
http://dx.doi.org/10.1093/narcan/zcaa009

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