Abstract

Simple SummaryLung neuroendocrine neoplasms (LNENs) classes, as proposed by the World Health Organization 2015, do not provide properly prognostic and therapeutic indications. In fact, high-throughput molecular analysis, based on next-generation sequencing, identified novel molecular subgroups, associated with different genomic signatures, that could pave the way for alternative therapeutic approaches. The present review, coupled with in silico molecular analysis, could show the current genomic alterations state in actual LNENS groups. Interestingly our manuscript suggests that the molecular novelties could improve the LNENs therapeutics efficacy. In more detail, we reported the differences of gene alterations and mutational rate between LNENS, confirming the central pathogenetic role given by a different mutational rate in chromatin remodeling genes and tumor suppressors TP53-RB1. In conclusion, our results underlined that a further molecular layer is needed to improve the efficacy of LNENs medical treatment.Lung neuroendocrine neoplasms (LNENs) represent a rare and heterogeneous population of lung tumors. LNENs incidence rate has increased dramatically over the past 30 years. The current World Health Organization LNENs classification (WHO 2015), distinguished four LNENs prognostic categories, according to their morphology, necrosis amount and mitotic count: typical carcinoid (TC), atypical-carcinoid (AC), large cell neuroendocrine carcinoma (LCNEC) and small cell lung cancer (SCLC). At present, due to their rarity and biological heterogeneity there is still no consensus on the best therapeutic approach. Next-generation-sequencing analysis showed that WHO 2015 LNENs classes, could be characterized also by specific molecular alterations: frequently mutated genes involving chromatin remodeling and generally characterized by low mutational burden (MB) are frequently detected in both TC and AC; otherwise, TP53 and RB1 tumor suppressor genes alterations and high MB are usually detected in LCNEC and SCLC. We provide an overview concerning gene mutations in each WHO 2015 LNENs class in order to report the current LNENs mutational status as potential tool to better understand their clinical outcome and to drive medical treatment.

Highlights

  • Lung neuroendocrine neoplasms (LNENs), are heterogeneous neoplasms originating in the bronchial tract covering 20–25% of all lung cancer [1,2]

  • We analyzed 790 samples distributes as follow: 125 typical carcinoids (TCs), 94 atypical carcinoids (ACs), 350 large cell neuroendocrine carcinomas (LCNECs) and 221 small cell lung cancer (SCLC)

  • We identified a panel of 201 genes after removing rarely mutated genes, i.e., with an absolute mutation number ≤ 2 and calculated the mutation rate of each gene in each histological class (Figure 1)

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Summary

Introduction

Lung neuroendocrine neoplasms (LNENs), are heterogeneous neoplasms originating in the bronchial tract covering 20–25% of all lung cancer [1,2]. According to the World Health Organization (WHO) 2015, LNENs are classified into four subtypes according to morphological features, necrosis amount and mitotic count: typical carcinoid (TC), well differentiated, mitotic index (MI) < 2 mitoses/2 mm and absence of necrosis; atypical carcinoid (AC): well differentiated, 2 < MI < 10 mitoses/2 mm and necrosis; large cell neuroendocrine carcinoma (LCNEC): poorly differentiated, constituted by neoplastic cells with abundant cytoplasm, extensive/geographic necrosis and prominent nucleoli, MI > 10 mitoses/2 mm2 [1]; small cell lung carcinoma (SCLC): poorly differentiated, MI > 10 mitoses/2 mm and diffuse necrosis. Based on histology and clinical behavior, TCs and ACs can be grouped into well differentiated neuroendocrine tumors (NETs), while LCNECs and SCLCs into poorly differentiated carcinomas (NECs) [8]. The Agency for Research on Cancer (IARC) and WHO recently proposed NETs and NECs as new uniform classification for all NENs across different sites, supported by morphological, clinical, histological, epidemiologic, prognostic and genetic differences at specific anatomic sites [9]

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