Zhao Jiaojiao, Wu Min, Wan Meihua, Li Xue, Li Jie, Liu Qin, Xiong Minghao, Tu Mengjie, Zhou Jun, Li Shilin, Zhang Jie, Fu Jiangping, Zhang Yin, Zhao Chungang, Qin Litong, Yang Xue, Zhao Hong, Zhang Yan, Zeng Fanxin
Department of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu 610041, China.
Database (Oxford). 2025 Apr 21;2025. doi: 10.1093/database/baaf029.
Due to tumor heterogeneity, a subset of patients fails to benefit from current treatment strategies. However, an integrated analysis of imaging features, genetic molecules, and clinical phenotypes can characterize tumor heterogeneity, enabling the development of more personalized treatment approaches. Despite its potential, cross-modal databases remain underexplored. To address this gap, we established a comprehensive database encompassing 9965 genes, 5449 proteins, 1121 metabolites, 283 pathways, 854 imaging features, and 73 clinical factors from colorectal cancer patients. This database identifies significantly distinct molecules and imaging features associated with clinical phenotypes and provides survival analysis based on these features. Additionally, it offers genetic molecule annotations, comparative expression levels between tumor and normal tissues, imaging features linked to genetic molecules, and imaging-based models for predicting gene expression levels. Furthermore, the database highlights correlations between genetic molecules, clinical factors, and imaging features. In summary, we present MIPD (Molecules, Imaging, and Clinical Phenotype Correlation Database), a user-friendly, interactive, and specialized platform accessible at http://corgenerf.com. MIPD facilitates the interpretability of cross-modal data by providing query, browse, search, visualization, and download functionalities, thereby offering a valuable resource for advancing precision medicine in colorectal cancer. Database URL: http://corgenerf.
由于肿瘤异质性，一部分患者无法从当前的治疗策略中获益。然而，对成像特征、基因分子和临床表型进行综合分析可以表征肿瘤异质性，从而开发出更具个性化的治疗方法。尽管具有潜力，但跨模态数据库仍未得到充分探索。为了填补这一空白，我们建立了一个全面的数据库，涵盖了来自结直肠癌患者的9965个基因、5449种蛋白质、1121种代谢物、283条通路、854个成像特征和73个临床因素。该数据库识别出与临床表型相关的显著不同的分子和成像特征，并基于这些特征进行生存分析。此外，它还提供基因分子注释、肿瘤组织与正常组织之间的比较表达水平、与基因分子相关的成像特征以及用于预测基因表达水平的基于成像的模型。此外，该数据库突出了基因分子、临床因素和成像特征之间的相关性。总之，我们推出了MIPD（分子、成像和临床表型关联数据库），这是一个用户友好、交互式的专业平台，可通过http://corgenerf.com访问。MIPD通过提供查询、浏览、搜索、可视化和下载功能，促进了跨模态数据的可解释性，从而为推进结直肠癌的精准医学提供了宝贵的资源。数据库网址：http://corgenerf。
