{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T10:09:19Z","timestamp":1789207759260,"version":"build-2803163510"},"reference-count":41,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Liaoning Provincial Science and Technology Joint Program","award":["2025-BSLH-031"],"award-info":[{"award-number":["2025-BSLH-031"]}]},{"name":"2024 Dalian Life and Health Guidance Program","award":["2024ZDJH01PT142"],"award-info":[{"award-number":["2024ZDJH01PT142"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Int J Biol Markers"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Gastric cancer (GC) remains a major cause of cancer-related mortality, and biomarkers for early detection are needed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Stomach and blood expression quantitative trait loci were integrated with two GC genome-wide association studies using Mendelian randomization (MR), Bayesian colocalization, and summary-data-based MR\/heterogeneity in dependent instruments (SMR\/HEIDI) testing. Bulk and single-cell transcriptomic analyses characterized candidate expression and lesion-associated patterns. CDC16 protein expression was evaluated by immunohistochemistry in 53 paired GC and non-neoplastic tissues, followed by paired and exploratory receiver operating characteristic analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      MR prioritized\n                      <jats:italic toggle=\"yes\">PILRB<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">CDC16<\/jats:italic>\n                      , and\n                      <jats:italic toggle=\"yes\">GABPB1-AS1<\/jats:italic>\n                      ; SMR\/HEIDI provided complementary support, while colocalization for\n                      <jats:italic toggle=\"yes\">CDC16<\/jats:italic>\n                      and\n                      <jats:italic toggle=\"yes\">GABPB1-AS1<\/jats:italic>\n                      was suggestive and model-dependent. Bulk-tissue\n                      <jats:italic toggle=\"yes\">CDC16<\/jats:italic>\n                      abundance was higher in GC, but the modest TCGA-STAD tumor\u2013normal difference (log2FC = 0.210, FDR = 0.019) was attenuated after proliferation adjustment (log2FC = \u22120.002, FDR = 0.987), indicating close coupling with proliferative activity. Single-cell analysis localized\n                      <jats:italic toggle=\"yes\">CDC16<\/jats:italic>\n                      predominantly to epithelial populations, and the proportion of\n                      <jats:italic toggle=\"yes\">CDC16<\/jats:italic>\n                      -detectable epithelial cells increased across lesion categories (\u03c1 = 0.735; permutation\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.031). CDC16 H-scores were higher in GC than in paired non-neoplastic tissues (161.15 \u00b1 45.11 vs 102.15 \u00b1 54.50;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001), with higher cancer-tissue scores in 41 of 53 cases. Exploratory AUC was 0.794 (95% CI, 0.704\u20130.874; sensitivity, 66.0%; specificity, 79.2%).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Convergent genetic, transcriptomic, and protein-level evidence prioritizes CDC16 as a GC-associated candidate tissue marker whose expression is closely linked to proliferative activity. Prospective validation in independent cohorts, including appropriate disease controls and blood-based evaluation, is warranted.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/03936155261488957","type":"journal-article","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T05:22:56Z","timestamp":1788931376000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrative genetic and transcriptomic analyses prioritize CDC16 as a candidate marker for gastric cancer"],"prefix":"10.1177","volume":"41","author":[{"given":"Fan","family":"Xue","sequence":"first","affiliation":[{"name":"Affiliated Zhongshan Hospital of Dalian University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dao-Cheng","family":"Wu","sequence":"additional","affiliation":[{"name":"Affiliated Zhongshan Hospital of Dalian 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