{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T12:03:03Z","timestamp":1784203383078,"version":"3.55.0"},"reference-count":20,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T00:00:00Z","timestamp":1779148800000},"content-version":"vor","delay-in-days":138,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT","doi-asserted-by":"publisher","award":["RS-2023-00208892"],"award-info":[{"award-number":["RS-2023-00208892"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Technology Innovation Program","award":["RS-2024-00410585"],"award-info":[{"award-number":["RS-2024-00410585"]}]},{"DOI":"10.13039\/501100003052","name":"MOTIE","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003052","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Cancer metastasis involves complex molecular mechanisms that cannot be fully explained by individual gene expression profiles. Previous studies have shown that correlations between RNA and miRNA expression can capture metastatic behaviour more effectively than expression of individual genes. However, no publicly available databases provide systematic analysis of RNA\u2013miRNA correlations specific to cancer metastasis. We developed an efficient computational method to identify differential correlations between miRNAs and RNAs that are specific to individual tumour samples. Using data from The Cancer Genome Atlas (TCGA), we computed differential correlations for tumour samples across 9 cancer types and 21 metastatic sites, encompassing ~200 million RNA\u2013miRNA pairs. Statistical analysis identified RNA\u2013miRNA pairs with site-specific correlations using Mann\u2013Whitney U-tests. MetaCancerDB contains RNA\u2013miRNA correlation networks for 9 primary cancer types and 21 metastatic sites. Site-specific correlations showed distinct patterns, with lung metastasis displaying the most conserved correlations across cancer types. Survival analysis revealed that specific RNA\u2013miRNA pairs are prognostic for patient outcomes in a metastatic site-dependent manner. MetaCancerDB provides a comprehensive resource for exploring RNA\u2013miRNA correlations in cancer metastasis. The database enables researchers to identify molecular signatures specific to metastatic sites and can serve as a foundation for developing predictive biomarkers. MetaCancerDB is freely available for academic purposes.<\/jats:p>","DOI":"10.1093\/database\/baag026","type":"journal-article","created":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T11:46:35Z","timestamp":1778154395000},"source":"Crossref","is-referenced-by-count":0,"title":["MetaCancerDB: a database of site-specific RNA\u2013miRNA correlations in cancer metastasis"],"prefix":"10.1093","volume":"2026","author":[{"given":"Myeonghun","family":"Cho","sequence":"first","affiliation":[{"name":"Inha University Department of Computer Engineering, , Inha-ro, Incheon 22212 ,","place":["Republic of Korea"]},{"name":"Research Institute, JS Link Inc. , Seoul 07793 ,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byungkyu","family":"Park","sequence":"additional","affiliation":[{"name":"Yonsei University Department of Quantum Information, , Seoul 03722 ,","place":["Republic of 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