胸腺癌分子图谱的基因组学见解:综述。

Mediastinum (Hong Kong, China) Pub Date : 2024-06-05 eCollection Date: 2024-01-01 DOI:10.21037/med-24-5
So Takata
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引用次数: 0

摘要

背景和目的:胸腺癌是一种极为罕见的癌症,每年的发病率仅为每 10 万人中 0.15-0.29 例。由于其罕见性,目前仅开发出几种行之有效的治疗方法。了解其遗传特征对于开发靶向疗法至关重要。然而,专门研究胸腺癌突变的研究非常有限,大多数研究都是将胸腺瘤和胸腺癌结合起来进行的。本文回顾了单独针对胸腺癌的基因研究结果,并与胸腺瘤的研究结果进行了比较:我们在 PubMed 上搜索了胸腺癌基因组学的相关英文研究。然后,分析了采用靶向测序或全外显子组测序的主要论文:最常见的突变基因是TP53、CDKN2A、CDKN2B、CYLD、KIT、TET2、SETD2、BAP1和ASXL1。TP53和CDKN2A与预后不良有关。CYLD调节与增殖相关的信号转导,并与AIRE表达和T细胞发育相互作用,它可能预测免疫疗法的反应。KIT突变可能有助于靶向治疗。TET2、SETD2、BAP1和ASXL1调节表观遗传学,这表明这些机制会受到破坏。较高的肿瘤突变负荷(TMB)和16q缺失可将胸腺癌与胸腺瘤区分开来。虽然胸腺癌也有一些拷贝数畸变,但其突变特征与胸腺瘤截然不同:结论:胸腺癌显示出独特的基因组图谱,表明其分子发病机制与胸腺瘤不同。我们的研究结果揭示了TP53/CDKN2A等预后生物标志物和KIT等潜在治疗靶点。由于胸腺癌极为罕见,分享分子图谱数据可为了解这些肿瘤的分子机制提供有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genomic insights into molecular profiling of thymic carcinoma: a narrative review.

Background and objective: Thymic carcinoma is an exceptionally rare cancer, with an annual incidence of just 0.15-0.29 per 100,000 people. Owing to its rarity, only few proven treatments have been developed. Understanding its genetic profile is crucial for the development of targeted therapies. However, limited studies have exclusively examined thymic carcinoma mutations, with most investigation combining thymomas and thymic carcinomas. This paper reviews findings from genetic studies focusing on thymic carcinoma alone and compares them to those of thymoma.

Methods: We conducted a PubMed search for relevant English studies on thymic carcinoma genomics. Then, key papers utilizing target sequencing or whole-exome sequencing were analyzed.

Key content and findings: The most frequently mutated genes were TP53, CDKN2A, CDKN2B, CYLD, KIT, TET2, SETD2, BAP1, and ASXL1. TP53 and CDKN2A are correlated with poor prognosis. CYLD, which regulates signaling related with proliferation and interacts with AIRE expression and T cell development, might predict the immunotherapy response. KIT mutations might enable targeted therapy. TET2, SETD2, BAP1, and ASXL1 regulate epigenetics, suggesting disruption of these mechanisms. Higher tumor mutational burden (TMB) and 16q loss distinguish thymic carcinoma from thymoma. Although some copy number aberrations are shared, thymic carcinoma exhibits a mutational profile distinct from that of thymoma.

Conclusions: Thymic carcinoma demonstrates a unique genomic landscape, suggesting a molecular pathogenesis distinct from that of thymoma. Our findings revealed prognostic biomarkers such as TP53/CDKN2A and potential therapeutic targets such as KIT. Because thymic carcinoma is extremely rare, sharing molecular profiling data could provide valuable insights into the molecular mechanisms driving the development of these tumors.

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