biostudies-literatureAlthenayyan SKing Abdullah International Medical Research Center135https://www.ebi.ac.uk/biostudies/studies/S-EPMC9861497biostudies-literatureUnknown13(1)There is a pertinent need to develop prognostic biomarkers for practicing predictive, preventive and personalized medicine (PPPM) in colorectal cancer metastasis. The analysis of isoform expression data governed by alternative splicing provides a high-resolution picture of mRNAs in a defined condition. This information would not be available by studying gene expression changes alone. Hence, we utilized our prior data from an exon microarray and found <i>ADAM12</i> and <i>MUC4</i> to be strong biomarker candidates based on their alternative splicing scores and pattern. In this study, we characterized their isoform expression in a cell line model of metastatic colorectal cancer (SW480 & SW620). These two genes were found to be good prognostic indicators in two cohorts from The Cancer Genome Journal of personalized medicineAlternatively Spliced Isoforms of <i>MUC4</i> and <i>ADAM12</i> as Biomarkers for Colorectal Cancer Metastasis.PMC9861497RC18/185Althenayyan SAlsagaby SAAziz MAAlghanem BAlAbdulrahman AAlfahed AAlMuhanna MHAlasiri GfalseAlternatively Spliced Isoforms of <i>MUC4</i> and <i>ADAM12</i> as Biomarkers for Colorectal Cancer Metastasis.There is a pertinent need to develop prognostic biomarkers for practicing predictive, preventive and personalized medicine (PPPM) in colorectal cancer metastasis. The analysis of isoform expression data governed by alternative splicing provides a high-resolution picture of mRNAs in a defined condition. This information would not be available by studying gene expression changes alone. Hence, we utilized our prior data from an exon microarray and found <i>ADAM12</i> and <i>MUC4</i> to be strong biomarker candidates based on their alternative splicing scores and pattern. In this study, we characterized their isoform expression in a cell line model of metastatic colorectal cancer (SW480 & SW620). These two genes were found to be good prognostic indicators in two cohorts from The Cancer Genome 2023-01-01T00:00:00Z2023 Jan2026-06-13T03:27:10.757Z2024-11-19T16:24:27.2ZS-EPMC98614973667579610.3390/jpm13010135