针对癌症诊断和预后的新型体液exRNA标志物的研究

本项目基于基因组学和生物信息学，通过开发体液RNA微量测序技术和机器学习方法，在体液中发现和鉴定与癌症发生发展相关的新型exRNA标志物，应用于以肝癌为主的癌症早期检测和预后辅助治疗。exRNA指的是胞外RNA，包括miRNA,Y RNA,circRNA,lncRNA等很多种类型。RNA标志物具有很好的敏感性、组织特异性和多样性，给易于普及的癌症检验尤其是早期检验带来了新的期望。在新型非编码RNA的鉴定和功能研究方面，我们积累了丰富的经验，结合高通量测序和生物信息学的方法鉴定了与肝癌发生发展相关的lncRNA并通过实验验证其作为分子标志物的潜质。基于此，我们将在癌症病人体液（如血液）的不同组分（游离、微囊泡、外泌体、RNP）中发现和分析标志癌症发生发展的新型exRNA，并整合现有标志物构建多重标志物的智能模型，在更多样本上进行验证，建立具有高精准度和可重复性的无创检验方法。

Based on genomics and bioinformatics, this project aims to develop and identify new extracellular RNA (exRNA) biomarkers associated with tumorigenesis and cancer development in body fluids by developing humoral RNA microsequencing technology and machine learning methods. We will apply the new technology and methods to the early diagnosis and prognosis of cancer (i.e. HCC etc). exRNA refers to extracellular RNA, including miRNA, Y RNA, circRNA, lncRNA and many other types. RNA biomarker has good sensitivity, tissue specificity and diversity which offers promise for clinical studies. In the identification and functional study of novel non-coding RNAs, we have accumulated rich experience, combined with high-throughput sequencing and bioinformatics methods to identify lncRNA related to the development of hepatocarcinoma and verify its potential as a molecular marker by experiments. .Based on this, we will find and analyze new exRNAs that associated with the occurrence and development of cancer in different components (free, microvesicles, exosomes, RNP) of three cancer patients' body fluids (such as blood), and integrate existing markers by building intelligent models of multiple markers and validate them on large samples to create non-invasive methods with high accuracy and repeatability.