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In this review, gastric cancer (GC) and postcolonoscopy colorectal cancer (PCCRC) will be used to illustrate application of big data approach in the field of gastrointestinal cancer research. <jats:italic><jats:styled-content style=\"fixed-case\">Helicobacter pylori<\/jats:styled-content> (HP)<\/jats:italic> eradication only reduces GC risk by 46% due to preexisting precancerous lesions. Apart from endoscopy surveillance, identifying medications that modify GC risk is another strategy. Population\u2010based cohort studies showed that long\u2010term use of proton pump inhibitors (PPIs) associated with higher GC risk after <jats:italic>HP<\/jats:italic> eradication, while aspirin and statins associated with lower risk. While diabetes mellitus conferred 73% higher GC risk, metformin use associated with 51% lower risk, effect of which was independent of glycemic control. Nonetheless, nonsteroidal anti\u2010inflammatory drugs (NA\u2010NSAIDs) are not associated with lower GC risk. CRC can still occur after initial colonoscopy in which no cancer was detected (i.e. PCCRC). Between 2005 and 2013, the rate of interval\u2010type PCCRC\u20103y (defined as CRC diagnosed between 6 and 36\u00a0months of index colonoscopy which was negative for CRC) was 7.9% in Hong Kong, with &gt;80% being distal cancers and higher cancer\u2010specific mortality compared with detected CRC. Certain clinical and endoscopy\u2010related factors were associated with PCCRC\u20103 risk. Medications shown to have chemopreventive effects on PCCRC include statins, NA\u2010NSAIDs, and angiotensin\u2010converting enzyme inhibitors\/angiotensin receptor blockers.<\/jats:p>","DOI":"10.1111\/jgh.16527","type":"journal-article","created":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T02:13:53Z","timestamp":1709086433000},"page":"1027-1032","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Big data approach in the field of gastric and colorectal cancer research"],"prefix":"10.1111","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4838-378X","authenticated-orcid":false,"given":"Ka Shing","family":"Cheung","sequence":"first","affiliation":[{"name":"Department of Medicine, School of Clinical Medicine, The University of Hong Kong Queen Mary Hospital  Hong Kong China"},{"name":"Department of Medicine The University of Hong Kong\u2010Shenzhen Hospital  Shenzhen China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,2,27]]},"reference":[{"key":"e_1_2_3_2_1","unstructured":"LohrS.The origins of \u2018big data\u2019: an etymological detective story. 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