用于粒子治疗发展的基因表达研究。

Gene Expression Studies for the Development of Particle Therapy.

作者信息

Amundson Sally A

机构信息

Center for Radiological Research, Columbia University Medical Center, New York, NY, USA.

出版信息

Int J Part Ther. 2018 Summer;5(1):49-59. doi: 10.14338/IJPT-18-00010.1. Epub 2018 Sep 21.

Abstract

Proton therapy for cancer is now in widespread use, and facilities for carbon ion therapy are showing great promise, but a more complete understanding of the mechanisms underlying particle radiation therapy is still needed in order to optimize treatment. Studies of gene expression, especially those using whole genome techniques, can provide insight into many of the questions still remaining, from the molecular mechanisms involved to predicting patient outcome. This review will summarize gene expression studies of response to proton and carbon ion beams, as well as high-energy protons and high-z high-energy particles with relevance to particle therapy. In general, most such studies find that, in comparison with x-ray or gamma-ray exposure, particle irradiation increases both the number of genes responding and the magnitude of the response. Patterns of gene expression have suggested impacts on specific pathways of relevance to radiation therapy, such as enhancement or suppression of tumor progression or metastasis. However, even within the relatively small number of studies done to date there is no clear consensus of response, suggesting influence by multiple parameters, such as particle type, particle energy, and tumor type. Systematic gene expression studies can help to address these issues, and promoting a culture of data sharing will expedite the process, benefiting investigators across the radiation therapy field.

摘要

质子治疗癌症目前已广泛应用,碳离子治疗设施也展现出巨大潜力,但为了优化治疗,仍需要更全面地了解粒子放射治疗的潜在机制。基因表达研究,尤其是那些使用全基因组技术的研究,能够为诸多尚存的问题提供见解,从涉及的分子机制到预测患者预后。本综述将总结对质子束和碳离子束以及与粒子治疗相关的高能质子和高Z值高能粒子反应的基因表达研究。总体而言,大多数此类研究发现,与X射线或γ射线照射相比,粒子辐照会增加响应基因的数量以及响应的幅度。基因表达模式表明对与放射治疗相关的特定途径有影响,例如增强或抑制肿瘤进展或转移。然而,即使在迄今为止完成的相对较少的研究中,也没有明确的一致响应,这表明受到多种参数的影响,如粒子类型、粒子能量和肿瘤类型。系统性的基因表达研究有助于解决这些问题,促进数据共享文化将加快这一进程,使放射治疗领域的研究人员受益。

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