Radiogenomics: bridging the gap between imaging and genomics for precision oncology

IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
MedComm Pub Date : 2024-09-09 DOI:10.1002/mco2.722
Wenle He, Wenhui Huang, Lu Zhang, Xuewei Wu, Shuixing Zhang, Bin Zhang
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引用次数: 0

Abstract

Genomics allows the tracing of origin and evolution of cancer at molecular scale and underpin modern cancer diagnosis and treatment systems. Yet, molecular biomarker-guided clinical decision-making encounters major challenges in the realm of individualized medicine, consisting of the invasiveness of procedures and the sampling errors due to high tumor heterogeneity. By contrast, medical imaging enables noninvasive and global characterization of tumors at a low cost. In recent years, radiomics has overcomes the limitations of human visual evaluation by high-throughput quantitative analysis, enabling the comprehensive utilization of the vast amount of information underlying radiological images. The cross-scale integration of radiomics and genomics (hereafter radiogenomics) has the enormous potential to enhance cancer decoding and act as a catalyst for digital precision medicine. Herein, we provide a comprehensive overview of the current framework and potential clinical applications of radiogenomics in patient care. We also highlight recent research advances to illustrate how radiogenomics can address common clinical problems in solid tumors such as breast cancer, lung cancer, and glioma. Finally, we analyze existing literature to outline challenges and propose solutions, while also identifying future research pathways. We believe that the perspectives shared in this survey will provide a valuable guide for researchers in the realm of radiogenomics aiming to advance precision oncology.

Abstract Image

放射基因组学:缩小成像与基因组学之间的差距,促进精准肿瘤学的发展
基因组学可在分子尺度上追踪癌症的起源和演变,是现代癌症诊断和治疗系统的基础。然而,以分子生物标志物为指导的临床决策在个体化医疗领域遇到了重大挑战,包括手术的侵入性和肿瘤高度异质性导致的取样误差。相比之下,医学成像技术能以较低的成本对肿瘤进行无创和全面的特征描述。近年来,放射组学通过高通量定量分析克服了人类视觉评估的局限性,实现了对放射图像所蕴含的大量信息的综合利用。放射组学与基因组学的跨尺度整合(以下简称放射基因组学)在提高癌症解码能力和促进数字精准医疗方面具有巨大潜力。在此,我们将全面概述放射基因组学在患者护理中的现有框架和潜在临床应用。我们还重点介绍了最近的研究进展,以说明放射基因组学如何解决乳腺癌、肺癌和胶质瘤等实体瘤的常见临床问题。最后,我们分析了现有文献,概述了面临的挑战并提出了解决方案,同时还确定了未来的研究方向。我们相信,本调查报告中分享的观点将为放射基因组学领域旨在推进精准肿瘤学的研究人员提供有价值的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.70
自引率
0.00%
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0
审稿时长
10 weeks
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