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通过整合基因表达生物标志物实现喉癌分子谱分析的个性化治疗策略

Personalized Treatment Strategies via Integration of Gene Expression Biomarkers in Molecular Profiling of Laryngeal Cancer.

作者信息

Maniaci Antonino, Giurdanella Giovanni, Chiesa Estomba Carlos, Mauramati Simone, Bertolin Andy, Lionello Marco, Mayo-Yanez Miguel, Rizzo Paolo Boscolo, Lechien Jerome R, Lentini Mario

机构信息

Department of Medicine and Surgery, University of Enna "Kore", 94100 Enna, Italy.

ASP Ragusa-Hospital Giovanni Paolo II, 97100 Ragusa, Italy.

出版信息

J Pers Med. 2024 Oct 10;14(10):1048. doi: 10.3390/jpm14101048.

Abstract

Laryngeal cancer poses a substantial challenge in head and neck oncology, and there is a growing focus on customized medicine techniques. The present state of gene expression indicators in laryngeal cancer and their potential to inform tailored therapy choices are thoroughly examined in this review. We examine significant molecular changes, such as TP53, CDKN2A, PIK3CA, and NOTCH1 mutations, which have been identified as important participants in the development of laryngeal cancer. The study investigates the predictive and prognostic significance of these genetic markers in addition to the function of epigenetic changes such as the methylation of the MGMT promoter. We also go over the importance of cancer stem cell-related gene expression patterns, specifically CD44 and ALDH1A1 expression, in therapy resistance and disease progression. The review focuses on indicators, including PD-L1, CTLA-4, and tumor mutational burden (TMB) in predicting immunotherapy responses, highlighting recent developments in our understanding of the intricate interactions between tumor genetics and the immune milieu. We also investigate the potential for improving prognosis accuracy and treatment selection by the integration of multi-gene expression panels with clinicopathological variables. The necessity for uniform testing and interpretation techniques is one of the difficulties, in implementing these molecular insights into clinical practice, that are discussed. This review seeks to provide a comprehensive framework for promoting personalized cancer therapy by combining the most recent data on gene expression profiling in laryngeal cancer. Molecularly guided treatment options may enhance patient outcomes.

摘要

喉癌在头颈肿瘤学中构成了重大挑战,并且对个性化医疗技术的关注日益增加。本综述全面审视了喉癌中基因表达指标的现状及其为量身定制治疗选择提供信息的潜力。我们研究了显著的分子变化,如TP53、CDKN2A、PIK3CA和NOTCH1突变,这些已被确定为喉癌发展的重要参与者。该研究除了调查MGMT启动子甲基化等表观遗传变化的作用外,还研究了这些基因标志物的预测和预后意义。我们还探讨了癌症干细胞相关基因表达模式,特别是CD44和ALDH1A1表达在治疗耐药性和疾病进展中的重要性。本综述重点关注包括PD-L1、CTLA-4和肿瘤突变负荷(TMB)在内的指标在预测免疫治疗反应方面的作用,突出了我们对肿瘤遗传学与免疫环境之间复杂相互作用理解的最新进展。我们还研究了通过将多基因表达谱与临床病理变量相结合来提高预后准确性和治疗选择的潜力。在将这些分子见解应用于临床实践时,统一检测和解释技术的必要性是所讨论的困难之一。本综述旨在通过结合喉癌基因表达谱分析的最新数据,为促进个性化癌症治疗提供一个全面的框架。分子指导的治疗选择可能会改善患者的治疗结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04d7/11508418/95552d6a020c/jpm-14-01048-g001.jpg

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