{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:14:08Z","timestamp":1787026448702,"version":"build-2736575974"},"reference-count":35,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T00:00:00Z","timestamp":1733702400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Genet."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Ulcerative colitis has a serious impact on the quality of life of patients and is more likely to progress to colon cancer. Therefore, early diagnosis and timely intervention are of considerable importance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Gene expression data of active ulcerative colitis were downloaded from the Gene Expression Omnibus (GEO) database, and genes with significant differential expression were identified. Biochemical markers with diagnostic significance were selected through machine learning methods. The expression differences of the selected markers between colon adenocarcinoma (COAD) and healthy control groups in The Cancer Genome Atlas (TCGA) database were analyzed to evaluate their diagnostic value. In addition, the correlation between the selected markers and clinical indicators, as well as their predictive efficacy for the survival of COAD patients, was explored.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Through machine learning and LASSO regression analysis,\n                      <jats:italic>UGT2A3<\/jats:italic>\n                      was finally determined as a diagnostic marker for ulcerative colitis. It demonstrated high diagnostic accuracy in both the training set and the external validation set. Furthermore,\n                      <jats:italic>UGT2A3<\/jats:italic>\n                      was significantly downregulated in COAD tissues compared to normal control tissues. The ROC curve suggested that\n                      <jats:italic>UGT2A3<\/jats:italic>\n                      could serve as a diagnostic marker for COAD with excellent performance, achieving an AUC of 0.969. Immune infiltration analysis indicated a significant negative correlation between the expression of\n                      <jats:italic>UGT2A3<\/jats:italic>\n                      and neutrophils. Correlation analysis suggested a link between\n                      <jats:italic>UGT2A3<\/jats:italic>\n                      and the pathological classification of colon cancer. Survival analysis showed that\n                      <jats:italic>UGT2A3<\/jats:italic>\n                      is negatively correlated with OS, PPS, and RFS in colon cancer.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      The author identified\n                      <jats:italic>UGT2A3<\/jats:italic>\n                      as a diagnostic marker for ulcerative colitis through bioinformatics methods, and verified its significant downregulation in colon cancer, as well as its predictive role in the survival of COAD patients. These findings suggest that\n                      <jats:italic>UGT2A3<\/jats:italic>\n                      may serve not only as a diagnostic marker for ulcerative colitis and colon cancer but also as a potential prognostic indicator for colon cancer.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fgene.2024.1419755","type":"journal-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T01:31:06Z","timestamp":1733707866000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["UDP-glucuronosyltransferases 2A3 as a biomarker for ulcerative colitis and colon cancer"],"prefix":"10.3389","volume":"15","author":[{"given":"Hao","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,12,9]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"e174545","DOI":"10.1172\/JCI174545","article-title":"Tissue-specific reprogramming leads to angiogenic neutrophil specialization and tumor vascularization in colorectal cancer","volume":"134","author":"Bui","year":"2024","journal-title":"J. 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