Background: Lung cancer is associated with a high incidence of mortality worldwide. Molecular mechanisms governing the disease have been explored by genomic studies; however, several aspects remain elusive. The integration of genomic profiling with in-depth proteomic profiling has introduced a new dimension to lung cancer research, termed proteogenomics. The aim of this review article was to investigate proteogenomic approaches in lung cancer, focusing on how elucidation of proteogenomic features can evoke tangible clinical outcomes. Methods: A strict methodological approach was adopted for study selection and key article features included molecular attributes, tumor biomarkers, and major hallmarks involved in oncogenesis. Results: As a consensus, in all studies it becomes evident that proteogenomics is anticipated to fill significant knowledge gaps and assist in the discovery of novel treatment options. Genomic profiling unravels patient driver mutations, and exploration of downstream effects uncovers great variability in transcript and protein correlation. Also, emphasis is placed on defining proteogenomic traits of tumors of major histological classes, generating a diverse portrait of predictive markers and druggable targets. Conclusions: An up-to-date synthesis of landmark lung cancer proteogenomic studies is herein provided, underpinning the importance of proteogenomics in the landscape of personalized medicine for combating lung cancer.
背景：肺癌在全球范围内具有较高的死亡率。基因组研究已探索了该疾病的分子机制，但仍有若干方面尚未明确。基因组分析与深度蛋白质组分析的整合为肺癌研究引入了新的维度，即蛋白质基因组学。本文旨在探讨肺癌中的蛋白质基因组学方法，重点关注蛋白质基因组特征的阐明如何能够带来切实的临床成果。方法：本研究采用严格的方法学进行文献筛选，关键文章特征包括分子属性、肿瘤生物标志物以及参与肿瘤发生的主要标志。结果：所有研究一致表明，蛋白质基因组学有望填补重要的知识空白，并有助于发现新的治疗方案。基因组分析揭示了患者的驱动突变，而对下游效应的探索则发现转录本与蛋白质相关性存在巨大变异。此外，研究重点在于明确主要组织学类型肿瘤的蛋白质基因组特征，从而形成预测性标志物和可成药靶点的多样化图谱。结论：本文提供了具有里程碑意义的肺癌蛋白质基因组学研究的最新综述，强调了蛋白质基因组学在个性化医疗对抗肺癌领域中的重要性。
Lung Cancer Proteogenomics: Shaping the Future of Clinical Investigation
肿瘤(癌症)患者之家