<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>21(1)</volume><submitter>Praus F</submitter><funding>Universität zu Lübeck</funding><pubmed_abstract>&lt;h4>Background&lt;/h4>Colorectal cancer (CRC) is one of the most prevalent cancers, with over one million new cases per year. Overall, prognosis of CRC largely depends on the disease stage and metastatic status. As precision oncology for patients with CRC continues to improve, this study aimed to integrate genomic, transcriptomic, and proteomic analyses to identify significant differences in expression during CRC progression using a unique set of paired patient samples while considering tumour heterogeneity.&lt;h4>Methods&lt;/h4>We analysed fresh-frozen tissue samples prepared under strict cryogenic conditions of matched healthy colon mucosa, colorectal carcinoma, and liver metastasis from the same patients. Somatic mutations of known cancer-related genes were analysed using Illumina's TruSeq Ampli</pubmed_abstract><journal>Journal of translational medicine</journal><pagination>41</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9869555</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Panomics reveals patient individuality as the major driver of colorectal cancer progression.</pubmed_title><pmcid>PMC9869555</pmcid><pubmed_authors>Kern K</pubmed_authors><pubmed_authors>Sauer T</pubmed_authors><pubmed_authors>Gemoll T</pubmed_authors><pubmed_authors>Deichmann S</pubmed_authors><pubmed_authors>Vegvari A</pubmed_authors><pubmed_authors>Busch H</pubmed_authors><pubmed_authors>Habermann JK</pubmed_authors><pubmed_authors>Praus F</pubmed_authors><pubmed_authors>Kohl M</pubmed_authors><pubmed_authors>Kunstner A</pubmed_authors><pubmed_authors>Keck T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Panomics reveals patient individuality as the major driver of colorectal cancer progression.</name><description>&lt;h4>Background&lt;/h4>Colorectal cancer (CRC) is one of the most prevalent cancers, with over one million new cases per year. Overall, prognosis of CRC largely depends on the disease stage and metastatic status. As precision oncology for patients with CRC continues to improve, this study aimed to integrate genomic, transcriptomic, and proteomic analyses to identify significant differences in expression during CRC progression using a unique set of paired patient samples while considering tumour heterogeneity.&lt;h4>Methods&lt;/h4>We analysed fresh-frozen tissue samples prepared under strict cryogenic conditions of matched healthy colon mucosa, colorectal carcinoma, and liver metastasis from the same patients. Somatic mutations of known cancer-related genes were analysed using Illumina's TruSeq Ampli</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2026-05-28T06:22:19.825Z</modification><creation>2025-04-06T08:18:18.148Z</creation></dates><accession>S-EPMC9869555</accession><cross_references><pubmed>36691026</pubmed><doi>10.1186/s12967-022-03855-0</doi></cross_references></HashMap>