da Silva Tamires Ferreira, de Azevedo Juscelino Carvalho, Teixeira Eliel Barbosa, Casseb Samir Mansour Moraes, Moreira Fabiano Cordeiro, de Assumpção Paulo Pimentel, Dos Santos Sidney Emanuel Batista, Calcagno Danielle Queiroz
Programa de Residência Multiprofissional em Saúde (Oncologia), Hospital Universitário João de Barros Barreto, Universidade Federal do Pará, Belém, Brazil.
Núcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Brazil.
Front Mol Biosci. 2024 Aug 6;11:1423470. doi: 10.3389/fmolb.2024.1423470. eCollection 2024.
Identifying mutations in cancer-associated genes to guide patient treatments is essential for precision medicine. Circulating tumor DNA (ctDNA) offers valuable insights for early cancer detection, treatment assessment, and surveillance. However, a key issue in ctDNA analysis from the bloodstream is the choice of a technique with adequate sensitivity to identify low frequent molecular changes. Next-generation sequencing (NGS) technology, evolving from parallel to long-read capabilities, enhances ctDNA mutation analysis. In the present review, we describe different NGS approaches for identifying ctDNA mutation, discussing challenges to standardized methodologies, cost, specificity, clinical context, and bioinformatics expertise for optimal NGS application.
识别癌症相关基因中的突变以指导患者治疗对于精准医学至关重要。循环肿瘤DNA(ctDNA)为早期癌症检测、治疗评估和监测提供了有价值的见解。然而,从血液中分析ctDNA的一个关键问题是选择一种具有足够灵敏度以识别低频分子变化的技术。从平行测序发展到长读长能力的下一代测序(NGS)技术增强了ctDNA突变分析。在本综述中,我们描述了用于识别ctDNA突变的不同NGS方法,讨论了标准化方法、成本、特异性、临床背景以及优化NGS应用所需的生物信息学专业知识方面的挑战。