{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Althenayyan S"],"funding":["King Abdullah International Medical Research Center"],"pagination":["135"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9861497"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(1)"],"pubmed_abstract":["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":["Journal of personalized medicine"],"pubmed_title":["Alternatively Spliced Isoforms of &lt;i&gt;MUC4&lt;/i&gt; and &lt;i&gt;ADAM12&lt;/i&gt; as Biomarkers for Colorectal Cancer Metastasis."],"pmcid":["PMC9861497"],"funding_grant_id":["RC18/185"],"pubmed_authors":["Althenayyan S","Alsagaby SA","Aziz MA","Alghanem B","AlAbdulrahman A","Alfahed A","AlMuhanna MH","Alasiri G"],"additional_accession":[]},"is_claimable":false,"name":"Alternatively Spliced Isoforms of &lt;i&gt;MUC4&lt;/i&gt; and &lt;i&gt;ADAM12&lt;/i&gt; as Biomarkers for Colorectal Cancer Metastasis.","description":"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 ","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2026-06-13T03:27:10.757Z","creation":"2024-11-19T16:24:27.2Z"},"accession":"S-EPMC9861497","cross_references":{"pubmed":["36675796"],"doi":["10.3390/jpm13010135"]}}