Multi-Omics and Its Clinical Application in Hepatocellular Carcinoma: Current Progress and Future Opportunities

Yang Wanshui; Jiang Hanyu; Liu Chao; Wei Jingwei; Zhou Yu; Gong Pengyun; Song Bin; Tian Jie

doi:10.24920/003984

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Multi-Omics and Its Clinical Application in Hepatocellular Carcinoma: Current Progress and Future Opportunities

Chinese Medical Sciences Journal Vol. 36, Issue 3, Pages: 173-186(2021)

REVIEW | Updated：2024-04-10

- Multi-Omics and Its Clinical Application in Hepatocellular Carcinoma: Current Progress and Future Opportunities
- Affiliations：
  
  1. 1Department of Nutrition, School of Public Health, Anhui Medical University, Hefei 230032, China
  2. 2Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
  3. 3Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing 100191, China
  4. 4Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing 100191, China
  5. 5Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  6. 6Beijing Key Laboratory of Molecular Imaging, Beijing 100190, China
  7. 7University of Chinese Academy of Sciences, Beijing 100049, China
  8. 8School of Life Science and Technology, Xidian University, Xi’an 710126, China
  9. 9Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an 710126, China
- Author bio：
  
  *E-mail: Bin Song, anicesong@vip.sina.com;
- Funds：
- DOI：10.24920/003984
  CLC：
- Received：16 August 2021，
  
  Accepted：2021-9-14，
  
  Published Online：17 September 2021，
  
  Published：17 September 2021
- Accepted：
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Yang Wanshui, Jiang Hanyu, Liu Chao, et al. Multi-Omics and Its Clinical Application in Hepatocellular Carcinoma: Current Progress and Future Opportunities[J]. Chinese medical sciences journal, 2021, 36(3): 173-186.
DOI：

Yang Wanshui, Jiang Hanyu, Liu Chao, et al. Multi-Omics and Its Clinical Application in Hepatocellular Carcinoma: Current Progress and Future Opportunities[J]. Chinese medical sciences journal, 2021, 36(3): 173-186. DOI： 10.24920/003984.

摘要

全球范围内

肝细胞癌(Hepatocellular carcinoma

HCC)是第六大常见恶性肿瘤

也是癌症相关死亡的第四大原因。中国HCC病例占全球病例的50%以上

导致HCC成为重要的公共卫生问题。尽管HCC诊断和治疗取得了进步

但高复发率仍然是HCC治愈的主要障碍。目前

多组学技术的融合促进了临床上疾病的监测、精准诊断和个体化治疗。无创的影像组学利用术前影像图像反映特定临床结局相关的细微像素级的模式变化。影像组学已广泛应用于预测组织病理学诊断、评估治疗反应和预测疾病预后。高通量测序技术和基因表达谱分析使基因组学和蛋白质组学能够识别HCC中不同的转录组亚型和反复性的遗传改变

这将揭示病理生理学上复杂的疾病发生过程。医学大数据的积累和人工智能技术的发展使我们更好地从多组学的角度深入理解HCC的发病机制

并显示出将HCC的外科治疗或介入治疗转化为抗肿瘤发生机制治疗的潜力

这将极大地推动HCC精准诊疗的发展。

Abstract

Hepatocellular carcinoma (HCC) is the sixth most common malignancy and the fourth leading cause of cancer related death worldwide. China covers over half of cases

leading HCC to be a vital threaten to public health. Despite advances in diagnosis and treatments

high recurrence rate remains a major obstacle in HCC management. Multi-omics currently facilitates surveillance

precise diagnosis

and personalized treatment decision making in clinical setting. Non-invasive radiomics utilizes preoperative radiological imaging to reflect subtle pixel-level pattern changes that correlate to specific clinical outcomes. Radiomics has been widely used in histopathological diagnosis prediction

treatment response evaluation

and prognosis prediction. High-throughput sequencing and gene expression profiling enabled genomics and proteomics to identify distinct transcriptomic subclasses and recurrent genetic alterations in HCC

which would reveal the complex multistep process of the pathophysiology. The accumulation of big medical data and the development of artificial intelligence techniques are providing new insights for our better understanding of the mechanism of HCC via multi-omics

and show potential to convert surgical/intervention treatment into an antitumorigenic one

which would greatly advance precision medicine in HCC management.

关键词

Keywords

references

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