MSICKB: A Curated Knowledgebase for Exploring Molecular Heterogeneity and Biomarker Discovery in Microsatellite Instability Cancers

作者：Bairong Shen, Yuxin Zhang · 发表于：bioRxiv (Cold Spring Harbor Laboratory) · 年份：2025 · DOI：10.1101/2025.11.22.689859 · 被引用次数：1 · 研究领域：Genetic factors in colorectal cancer、Cancer Immunotherapy and Biomarkers、Lung Cancer Treatments and Mutations

Abstract Background Microsatellite instability (MSI) is a critical form of genomic instability and a key biomarker for predicting patient prognosis and response to immunotherapy in cancer. However, significant heterogeneity in clinical outcomes exists even among patients with MSI cancers of the same type, suggesting the presence of distinct molecular subtypes and the need for more personalized biomarkers. The systematic exploration of this heterogeneity is currently hindered by the lack of a specialized, multi-dimensional data resource. This raises a critical scientific question: building upon the established link between MSI status and therapeutic efficacy, how can we leverage a multi-dimensional, deeply curated data resource to precisely characterize the molecular heterogeneity of MSI cancers and discover personalized biomarkers for precision oncology? Methods To address this question, we developed the Microsatellite Instability Cancer Knowledgebase (MSICKB). We systematically curated MSI-related data from 492 publications spanning from 1997 to 2024, covering 31 cancer types. The curated data encompasses four key dimensions: Genetic & Molecular Features, Clinicopathological Features, Therapeutic Response, and Prognostic Factors. Furthermore, we constructed and analyzed a comprehensive gene-disease network to systematically characterize the molecular landscape of MSI cancers. Results MSICKB( http://www.sysbio.org.cn/MSICKB/ ) curates a total of 1,382 MSI-related features...