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Analysis of dynamics of body composition using computerised tomography scans and their association to molecular taxonomy in pancreatic cancer (Glasgow

使用计算机断层扫描分析身体成分动态及其与胰腺癌分子分类学的关联（格拉斯哥）

基本信息

批准号：
2893290
负责人：
金额：
--
依托单位：
University of Glasgow
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2022
资助国家：
英国
起止时间：
2022 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2893290
关键词：
Analysis dynamics body composition using

项目摘要

The above title ends in (Glasgow lead).Studentship strategic priority area: Basic & Clinical ResearchKeywords: Pancreatic cancer, molecular subtypes, precision medicine, tumour-host-interaction, medical imagingAbstract: This project will primarily involve computational and AI methods including bioinformatics (algorithm development) to first carry out analysis of pancreatic tumour profiles in correlation with CT scan image analysis (to examine body composition) and systemic inflammation markers to define genetic characteristics and genomic aberrations, based on this multi-omic patient cohort dataset analysis. Gene pathways of importance will also be assess using multiplex IF staining so that spatial proteomics can be analysed using a digital pathology approach. This is to characterise potential molecular patterns that may contribute to clinical phenotypes, and subsequently define key biological pathways underpinning each phenotype identified. These relationships will then be ranked based on prognosis, and findings will be further validated in patient cohort data to confirm clinical relevance, in order to try and predict patient outcome. CT scan image analysis will be carried out on trusted research environment developed by the iCASE industrial partner Collective Mind Radiology.

上述标题结束于（格拉斯哥牵头）.学生奖学金战略优先领域：基础与临床研究关键词：胰腺癌，分子亚型，精准医学，肿瘤-宿主相互作用，医学影像摘要：该项目将主要涉及计算和人工智能方法，包括生物信息学（算法开发）首先进行与CT扫描图像分析相关的胰腺肿瘤轮廓分析（以检查身体组成）和全身炎症标志物以定义遗传特征和基因组畸变，基于该多组学患者队列数据集分析。重要的基因途径也将使用多重IF染色进行评估，以便使用数字病理学方法分析空间蛋白质组学。这是为了确定可能有助于临床表型的潜在分子模式，并随后定义支持所鉴定的每种表型的关键生物学途径。然后将根据预后对这些关系进行排名，并在患者队列数据中进一步验证结果，以确认临床相关性，从而尝试预测患者结局。CT扫描图像分析将在iCASE工业合作伙伴Collective Mind Radiology开发的可信研究环境中进行。