# MIPD: Molecules, Imagings, and Clinical Phenotype Integrated Database

## TL;DR

MIPD is a database that combines genetic, imaging, and clinical data from colorectal cancer patients to support personalized treatment strategies.

## Contribution

MIPD is a novel integrated database combining molecular, imaging, and clinical data for colorectal cancer.

## Key findings

- MIPD includes 9965 genes, 5449 proteins, and 854 imaging features from colorectal cancer patients.
- The database identifies distinct molecules and imaging features associated with clinical phenotypes and survival outcomes.
- MIPD provides tools for querying and visualizing cross-modal correlations to support precision medicine.

## Abstract

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.