胰腺癌体液肿瘤标志物的系统挖掘与机理分析

肿瘤标志物在癌症早期诊断及发生发展机理研究中具有重要作用；胰腺癌作为致死率和恶性程度高的癌症则备受关注。随着转录组和其它组学技术的迅猛发展，研究者已在基因表达水平上获得了大量肿瘤相关数据。如何利用生物信息学技术，在海量数据中系统高效地挖掘胰腺癌高效特异的临床易检测体液标志物，并揭示其内在机理，已成为当前肿瘤分子标志物研究的前沿课题，对于我国胰腺癌的诊断和个性化治疗具有实际意义。..本项目融合计算智能、统计分析和生物信息学技术，与医学和肿瘤学家紧密合作，自主产生胰腺癌转录组数据，并搜集整理已有相关肿瘤组学数据，系统地挖掘其中隐含的关联信息，预测胰腺癌中特异肿瘤复合标志物；搭建新预测模型，提取能够进入血液、尿液和唾液等易于临床检测的体液复合肿瘤标志物；融合其它组学信息和生物医学知识，搭建基因功能模型，分析胰腺癌发生发展的深层关系；最终尝试将分析结果在胰腺癌的早期诊断和相关治疗领域中有所应用。

Cancer marker plays an important role in the detection of early stage of cancer as well as the mechanism of tumor occurrence and development. Meanwhile, pancreatic cancer attracts more attention for its low survival rate and the high degree of malignance. With the rapid development of Omics technology, researchers have obtained a lot of cancer-related data and information on gene expression level. With this improvement, how to systematically and efficiently mine clinical body fluid markers which are easily detectable, highly sensitive and highly specific from vast amounts of data by Bioinformatics technology has become the hot topic in current studies. Also this research has a great practical significance in pancreatic cancer diagnosis, control, prevention and personalized treatments in China...This project will focus on systematically collecting cancer transcriptome data and molecular biomarker information at first. And then, we will analyze the preprocessed data to predict specific combinational biomarkers for cancer diagnosis via computational intelligence, statistical analysis and bioinformatics technology along with therapists and oncologists. These combinational biomarkers will focus on pancreatic cancer rather than other cancer types or diseases. In the same time, we will build novel models for body fluid protein identification and study what kind of tumor biomarker's corresponding proteins could be secreted into blood/urine/saliva, and which may be applied in real clinical diagnosis easily. Meanwhile, we will explore the deep relationship between combinational markers and pancreatic tumor. With other Omics data and biomedical knowledge, we hope our project can reveal the inner mechanism and the reason of the development of tumor. At last, we will try to implement the results in the field of tumor early diagnosis and treatments.