整合拉曼光谱和RT-qPCR用于增强甲状腺病变的诊断:生物化学和分子标记物的比较研究
Lázaro P M Neto1, Laurita Dos Santos2, Luis Felipe C S Carvalho3
1Universidade do Vale do Paraíba, UNIVAP, Instituto de Pesquisa e Desenvolvimento, Avenida Shishima Hifumi 2911, Urbanova, São José dos Campos, São Paulo 12244-000, Brazil; Pontifícia Universidade Católica, PUC Minas, Departamento de Ciências Biológicas e da Saúde, Avenida Padre Cletus Francis Cox, 1661, Jardim Country Club, Poços de Caldas, Minas Gerais 37714-620, Brazil.
Journal of pharmaceutical and biomedical analysis
|April 3, 2025
概括
这项研究整合了拉曼光谱和基因表达分析 (RT-qPCR) 以提高甲状腺癌诊断. 结合方法提高了区分甲状腺病变的准确性,如卵泡甲状腺癌和乳头甲状腺癌.
科学领域:
- 生物医学工程 生物医学工程
- 分子诊断学 分子诊断学
- 在瘤学瘤学.
背景情况:
- 甲状腺癌的发病率正在上升,需要改进超声波和细针吸收之外的诊断方法.
- 当前的诊断技术可能会产生不确的结果,这凸显了对补充方法的需求.
- 准确区分甲状腺病变,包括卵泡甲状腺癌 (FTC) 和乳头甲状腺癌 (PTC),对于有效的治疗至关重要.
研究的目的:
- 通过RT-qPCR探索拉曼光谱和基因表达分析的整合,以改善甲状腺病变的诊断.
- 评估拉曼光谱和RT-qPCR在区分FTC,PTC和组织中的诊断准确性.
- 识别潜在的分子标记物,以提高甲状腺癌的诊断.
主要方法:
- 拉曼光谱法用于分析35个甲状腺组织样本中的生化成分.
- 使用RT-qPCR对33个样本进行基因表达分析,重点关注六个关键基因 (TG,TPO,PDGFB,SERPINA1,TFF3,LGALS3).
- 主要成分分析 (PCA) 用于分析拉曼光谱数据进行分类.
主要成果:
- 拉曼光谱仪在区分FTC和囊方面取得了82.3%的准确性.
- 观察到特定的基因表达模式:与对照组相比,SERPINA1在PTC中过度表达,TFF3在FTC中,以及PTC和FTC中的LGALS3.
- 基因表达的发现与来自拉曼光谱数据分析的分类结果一致.
结论:
- 拉曼光谱和RT-qPCR的整合为甲状腺病变提供了一个互补的诊断策略.
- 与传统的组织学分析相比,这种综合方法提高了灵敏度和特异性.
- 已识别的基因 (SERPINA1,TFF3,LGALS3) 显示出作为甲状腺癌诊断的有价值的分子标记物的潜力.
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