Pan-cancer analysis of biological events on cell cycle instability in gastrointestinal cancers with integrative scoring method

Omics data integration plays an essential role in manifesting hidden cancer insights. To detect the main combinatorial/parallel impact of cancer events, integrative approaches in pan-cancer studies must be used. Here, we assessed gastrointestinal (GI) cancers from several perspectives of genomics, transcriptomics, epigenomics, and also combinatorial impacts using a novel integrative approach to score genes. Next, scores were diffused on a signaling network and extracted subnetworks. We also implemented our new scoring method to compare upper-/ lower-GI cancers, investigate the regulatory mechanisms of lncRNAs, and detect amplifications/deletions between GI and non-GI cancers. The integrative subnetwork indicated the interplay among essential protein families in the cell cycle. The copy-number-variation-related subnetwork revealed minor cell cycle and immune effects, whereas the methylation-related subnetwork revealed significant immune effects. The top-score lncRNAs indicated a distinct regulatory pattern for lower-/upper-, and accessory-GI categories. In summary, cell cycle dysfunction might be largely the consequence of combinatorial abnormalities.

Automated summary

Omics data integration is crucial in revealing hidden insights about cancer, and through the examination of GI cancers from various perspectives, it was discovered that dysfunction in the cell cycle may largely result from combinatorial abnormalities.