Large Cell Neuroendocrine Carcinoma Shares Similarity with Small Cell Carcinoma on the Basis of Clinical and Pathological Features
Fengkai Xu, Ke Chen, Chunlai Lu and 5 more
Translational Oncology · 2019
doi:10.1016/j.tranon.2019.01.004 (opens in a new tab)
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Abstract
BACKGROUND: Large cell neuroendocrine carcinoma (LCNEC) was categorized into pulmonary neuroendocrine tumors (NETs) according to the World Health Organization classification guideline. However, LCNEC patients often received the chemotherapy regimens similar to non-small cell lung carcinoma (NSCLC) in advanced stage and the therapeutic effect was unsatisfactory. Therefore, this study aimed to investigate the hidden clinical features, prognosis and immunoprofile of the LCNEC, compared with carcinoid and SCLC, to explore whether LCNEC shares similarity with SCLC and potential treatment approaches could be revealed. METHODS: One hundred seventeen pulmonary NETs cases were retrospectively retrieved in this study. The Kaplan–Meier estimator was employed to draw survival curves. Immunohistochemistry was applied to detect NET-related markers expression. RESULTS: In clinical features, compared with carcinoid, LCNEC patients were older, more commonly in male and advanced stage. The parallel phenomena were also found in the high-grade subgroup when compared with the low- to intermediate-grade one. In survival analysis, the 5-year overall survival of LCNECs was 59.1%, which was poorer than that of carcinoids, but better than that of SCLCs. Immunohistochemistry showed that p53 and PTEN functional inactivation, up-regulation of CD117 expression, down-regulation of SSR2A and SSR5 expression were commonly involved in LCNECs when compared with carcinoids, or in the high-grade subgroup when compared with the low- to intermediate-grade one. However, no significant difference was found in the comparison between LCNECs and SCLCs, or NSCLCs and SCLCs. CONCLUSION: In clinical features, survival and immunoprofile, LCNEC showed more similarity with SCLC rather than carcinoid, which might guide novel therapy for pulmonary NETs.
Abstract licence: CC BY-NC
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