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Transcriptomic data helps refining classification of pulmonary carcinoid tumors with increased mitot...

Transcriptomic data helps refining classification of pulmonary carcinoid tumors with increased mitot...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2390158842

Transcriptomic data helps refining classification of pulmonary carcinoid tumors with increased mitotic counts

About this item

Full title

Transcriptomic data helps refining classification of pulmonary carcinoid tumors with increased mitotic counts

Publisher

New York: Elsevier Inc

Journal title

Modern pathology, 2020-09, Vol.33 (9), p.1712-1721

Language

English

Formats

Publication information

Publisher

New York: Elsevier Inc

More information

Scope and Contents

Contents

Pulmonary neuroendocrine neoplasms are classified by WHO as either typical or atypical carcinoids, large cell (LCNEC) or small cell (SCLC) neuroendocrine carcinoma based on mitotic count, morphology, and necrosis assessment. LCNEC with low mitotic count and sharing morphologic features with carcinoids are in a gray zone for classification and their...

Alternative Titles

Full title

Transcriptomic data helps refining classification of pulmonary carcinoid tumors with increased mitotic counts

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2390158842

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2390158842

Other Identifiers

ISSN

0893-3952

E-ISSN

1530-0285

DOI

10.1038/s41379-020-0538-8

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