ISSN 1004-4140
    CN 11-3017/P

    卵巢癌影像基因组学研究进展

    The Research Progress of Ovarian Cancer Imaging Genomics

    • 摘要: 要:卵巢癌(OC)是女性生殖系统中致死率最高的恶性肿瘤之一,因其早期症状不典型、诊断困难,临床预后较差。揭示卵巢癌的分子异质性是精准诊疗的关键,而传统分子生物学技术(如组织活检测序、免疫组化)通常需要侵入性活检获取组织样本。近年来,影像基因组学作为一种结合医学影像与基因组数据的无创技术,在揭示肿瘤的分子特征方面展现出巨大潜力,且具有可重复性、可动态监测等优势。然而,现有综述多聚焦于肝癌、直肠癌等实体瘤,尚缺乏针对卵巢癌的系统梳理。本文系统梳理了影像基因组学在卵巢癌中的研究进展,重点探讨其在基因突变预测、分子异质性分析、免疫微环境评估、预后及治疗反应预测等方面的应用,以期为相关研究提供参考和启示。

       

      Abstract: Ovarian cancer (OC) is one of the most lethal malignancies affecting the female reproductive system. Owing to its atypical early symptoms and diagnostic difficulties, it is associated with a poor clinical prognosis. Unraveling the molecular heterogeneity of OC is crucial for achieving a precise diagnosis and treatment; however, traditional molecular biology techniques, such as tissue biopsy sequencing and immunohistochemistry, require invasive biopsies to obtain tissue samples. In recent years, radiogenomics, a non-invasive technology that integrates medical imaging and genomic data, has shown great potential for revealing the molecular characteristics of tumors, along with advantages, including good reproducibility and the ability to dynamically monitor. Nevertheless, most existing reviews focus on solid tumors, such as liver and rectal cancers, and there are still no systematic summaries specifically targeting OC. In this systematic review, the research progress of radiogenomics in OC is discussed, with a focus on exploring its applications in the prediction of gene mutations, analysis of molecular heterogeneity, assessment of the immune microenvironment, evaluation of prognosis, and prediction of the treatment response, with the aim of providing references and insights for related studies.

       

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