{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T23:43:47Z","timestamp":1793403827646,"version":"4.5.0"},"reference-count":49,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T00:00:00Z","timestamp":1769990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004728","name":"VIT University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004728","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Oncol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The third leading cause of death worldwide is colorectal cancer due to a lack of early detection biomarkers and therapeutic small molecules. Advances in systems biology offer a combination of multi-omics and Artificial intelligence to discover the potential biomarkers and targets.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We used a combination of\n                      <jats:italic>in silico<\/jats:italic>\n                      and\n                      <jats:italic>in vitro<\/jats:italic>\n                      methodologies to identify potential biomarkers and a putative mediator of Embelin in colon cancer treatment. The human colorectal cancer (gene expression profiling by array) datasets were analyzed by using Weighted Gene Co-expression Analysis (WGCNA), and predictive AI models were trained by three algorithms (LASSO, SVM-RFE, RF). All three algorithms predicted COL6A3 as a common hub gene. qRT-PCR was used to analyze the expression level of COL6A3 along with apoptosis markers in HCT116 cell lines (human colorectal cancer) by treating Embelin in a dose-dependent manner.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Trained model predicted COL6A3 as a prominent hub gene across all three ML algorithms with high cross validation accuracy (AUC values: &amp;gt; ~0.90), showing the accuracy of predictions and feature selections of the trained model. Embelin treatment results in the upregulation of pro-apoptotic markers (BAX, CASPASE3) and the downregulation of anti-apoptotic genes (BCL2, PI3KCA). These findings suggest that COL6A3 is a candidate biomarker and a potential mediator of embelin activity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      This study underscores the integration of AI, multi-omics, and\n                      <jats:italic>in vitro<\/jats:italic>\n                      studies for the discovery of candidate biomarkers and mechanistic insights into pathway modulation by Embelin in colorectal cancer. The research successfully identified and validated the role of COL6A3 as a potential biomarker and putative target modulated by Embelin in colon cancer.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fonc.2026.1711079","type":"journal-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T06:30:50Z","timestamp":1770013850000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Artificial intelligence driven multi-omics framework identifies COL6A3 as a diagnostic biomarker and a putative gene target modulated by Embelin in Colorectal cancer"],"prefix":"10.3389","volume":"16","author":[{"given":"Prashanth 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