Classifying Lung Neuroendocrine Neoplasms through MicroRNA Sequence Data Mining

Classifying Lung Neuroendocrine Neoplasms through MicroRNA Sequence Data Mining

Lung neuroendocrine neoplasms (NENs) can be challenging to classify due to subtle histologic differences between pathological types. MicroRNAs (miRNAs) are small RNA molecules that are valuable markers in many neoplastic diseases. To evaluate miRNAs as classificatory markers for lung NENs, we genera...

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Bibliographic Details
Main Authors: Justin J. M. Wong, Paula S. Ginter, Kathrin Tyryshkin, Xiaojing Yang, Jina Nanayakkara, Zier Zhou, Thomas Tuschl, Yao-Tseng Chen, Neil Renwick
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Cancers
Subjects:
lung neuroendocrine neoplasms
classification
microRNA
markers
small RNA sequencing
Online Access:https://www.mdpi.com/2072-6694/12/9/2653

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https://www.mdpi.com/2072-6694/12/9/2653

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