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Open AccessJournal Article

Neuroendocrine differentiation in poorly differentiated lung carcinomas: a light microscopic and immunohistologic study.

TLDR
Investigation of frozen, unfixed tissue sections from 56 poorly differentiated, non-small cell primary lung tumors concluded that immunohistologic evidence of NE differentiation is present in a significant proportion of pulmonary large cell and poorly differentiated adenocarcinomas and rare in poorly differentiated squamous carcinomas.
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This article is published in Modern Pathology.The article was published on 1990-07-01 and is currently open access. It has received 27 citations till now. The article focuses on the topics: Cytokeratin & Neuroendocrine differentiation.

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Large cell neuroendocrine carcinoma of the lung: a histologic and immunohistochemical study of 22 cases.

TL;DR: The present study shows that the most difficult diagnostic factor ofLCNEC is the recognition of its light microscopic neuroendocrine features, and LCNEC must be distinguished not only from atypical carcinoid or SCLC, but also from common non-SCLC.
Journal ArticleDOI

Immunohistochemistry in the diagnosis and classification of neuroendocrine neoplasms: what can brown do for you?

TL;DR: This review is based on a presentation given at the Hans Popper Hepatopathology Society companion meeting at the 2019 United States and Canadian Academy of Pathology Annual Meeting and presents updates on the diagnosis and classification of neuroendocrine neoplasms, with an emphasis on the role of immunohistochemistry.
Journal ArticleDOI

Small cell lung cancer: Etiology, biology, clinical features, staging, and treatment

TL;DR: The classic SCLC staging system has been supplanted by a revised TNM staging system where limited disease and extensive disease are equivalent to the TNM stages I through III and stage IV, respectively.
Journal ArticleDOI

Algorithmic approach to neuroendocrine tumors in targeted biopsies: Practical applications of immunohistochemical markers.

TL;DR: Common applications of immunohistochemical markers when confronted with a potential neuroendocrine neoplasm are summarized, and a stepwise algorithmic approach to avoid diagnostic errors in targeted biopsies is proposed.
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