文章：

小细胞肺癌蛋白质组学分析：一项系统性综述

Proteomic Profiling of Small-Cell Lung Cancer: A Systematic Review

原文发布日期：16 October 2023

DOI: 10.3390/cancers15205005

类型: Article

开放获取: 是

英文摘要：

The accurate diagnosis of small-cell lung cancer (SCLC) is crucial, as treatment strategies differ from those of other lung cancers. This systematic review aims to identify proteins differentially expressed in SCLC compared to normal lung tissue, evaluating their potential utility in diagnosing and prognosing the disease. Additionally, the study identifies proteins differentially expressed between SCLC and large cell neuroendocrine carcinoma (LCNEC), aiming to discover biomarkers distinguishing between these two subtypes of neuroendocrine lung cancers. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a comprehensive search was conducted across PubMed/MEDLINE, Scopus, Embase, and Web of Science databases. Studies reporting proteomics information and confirming SCLC and/or LCNEC through histopathological and/or cytopathological examination were included, while review articles, non-original articles, and studies based on animal samples or cell lines were excluded. The initial search yielded 1705 articles, and after deduplication and screening, 16 articles were deemed eligible. These studies revealed 117 unique proteins significantly differentially expressed in SCLC compared to normal lung tissue, along with 37 unique proteins differentially expressed between SCLC and LCNEC. In conclusion, this review highlights the potential of proteomics technology in identifying novel biomarkers for diagnosing SCLC, predicting its prognosis, and distinguishing it from LCNEC.

摘要翻译： 

小细胞肺癌（SCLC）的准确诊断至关重要，因其治疗策略与其他类型肺癌存在差异。本系统综述旨在识别SCLC与正常肺组织间差异表达的蛋白质，评估其在疾病诊断和预后判断中的潜在应用价值。同时，研究还对比了SCLC与大细胞神经内分泌癌（LCNEC）之间的差异表达蛋白，以探索区分这两种神经内分泌肺癌亚型的生物标志物。依据系统综述和荟萃分析优先报告条目（PRISMA）指南，我们在PubMed/MEDLINE、Scopus、Embase和Web of Science数据库进行了全面检索。纳入标准为报道蛋白质组学信息并通过组织病理学和/或细胞病理学检查确诊SCLC和/或LCNEC的研究，排除综述类文章、非原创性研究及基于动物样本或细胞系的研究。初步检索获得1705篇文献，经去重和筛选后，最终纳入16篇符合条件的研究。这些研究共发现117种在SCLC与正常肺组织间显著差异表达的独特蛋白质，以及37种在SCLC与LCNEC间差异表达的独特蛋白质。综上所述，本综述揭示了蛋白质组学技术在发现新型生物标志物方面的潜力，这些标志物可用于SCLC的诊断、预后预测及其与LCNEC的鉴别诊断。

原文链接：

Proteomic Profiling of Small-Cell Lung Cancer: A Systematic Review