{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T04:25:52Z","timestamp":1783225552545,"version":"3.54.6"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1013566","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T00:00:00Z","timestamp":1760313600000}}],"reference-count":52,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T00:00:00Z","timestamp":1759795200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"2022 Drug Supervision Scientific Project of Gansu Provincial Food and Drug Administration","award":["2022GSMPA0015, 2022GSMPA0016"],"award-info":[{"award-number":["2022GSMPA0015, 2022GSMPA0016"]}]},{"name":"Science and Technology Innovation Joint Fund Project of Fujian Province","award":["2023Y9266"],"award-info":[{"award-number":["2023Y9266"]}]},{"name":"Cuiying Science and Technology Innovation Program of the Second Hospital of Lanzhou University","award":["CY2024-QN-B10"],"award-info":[{"award-number":["CY2024-QN-B10"]}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Background<\/jats:title>\n<jats:p>It is urgent to explore the potential biomarkers for pancreatic cancer (PC) prognosis and treatment to improve patients\u2019 outcomes.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Methods<\/jats:title>\n<jats:p>Firstly, we performed an integrated bioinformatics analysis based on extensive transcriptome data from 615 PC tumors and 329 adjacent tissues, screening for genes with prognostic value. We then validated the prognostic value of <jats:italic>OCIAD2<\/jats:italic>, <jats:italic>DCBLD2<\/jats:italic>, and <jats:italic>SAMD9<\/jats:italic> in different datasets and analyzed their expression levels in single-cell sequencing datasets of normal, paracancer, primary, and metastatic tissues. Next, we further explored the carcinogenic effect after knocking down the expression of <jats:italic>OCIAD2<\/jats:italic> in PC cancer cell line. Finally, a drug sensitivity analysis was conducted.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>Differentially expressed genes (DEGs) analysis identified 22 DEGs: <jats:italic>ACSL5<\/jats:italic>, <jats:italic>ANTXR1<\/jats:italic>, <jats:italic>AP1S3<\/jats:italic>, <jats:italic>ATP2C2<\/jats:italic>, <jats:italic><jats:italic>B3GNT5<\/jats:italic><\/jats:italic>, <jats:italic><jats:italic>C15orf48<\/jats:italic><\/jats:italic>, <jats:italic>CAPG<\/jats:italic>, <jats:italic>CTSK<\/jats:italic>, <jats:italic><jats:italic>DAPP1<\/jats:italic><\/jats:italic>, <jats:italic>DCBLD2<\/jats:italic>, <jats:italic>GPX8<\/jats:italic>, <jats:italic>HEPH<\/jats:italic>, <jats:italic><jats:italic>IFI44<\/jats:italic><\/jats:italic>, <jats:italic>KRT23<\/jats:italic>, <jats:italic>NCF2<\/jats:italic>, <jats:italic>OCIAD2<\/jats:italic>, <jats:italic>SAMD9<\/jats:italic>, <jats:italic>SLC39A10<\/jats:italic>, <jats:italic>ST6GALNAC1<\/jats:italic>, <jats:italic>TBC1D2<\/jats:italic>, <jats:italic>TMSB10<\/jats:italic> and <jats:italic>TSPAN5<\/jats:italic> with prognostic value in PC, though the related function and mechanism are still unclear. Single-cell sequencing results indicated that <jats:italic>OCIAD2<\/jats:italic> was prominently expressed in ductal cells of primary and metastatic tumors. The expression levels of <jats:italic>OCIAD2<\/jats:italic> mRNA and protein were the highest in pancreatic tumor tissues. Mechanism studies revealed that <jats:italic>STAT1<\/jats:italic> and <jats:italic>STAT2<\/jats:italic> in the JAK-STAT pathway and <jats:italic>CCND1<\/jats:italic>, <jats:italic>CDK1,<\/jats:italic> and <jats:italic>CDK2<\/jats:italic> in the cell cycle pathway were significantly down-regulated after <jats:italic>OCIAD2<\/jats:italic> knockdown. Drug sensitivity analysis identified 25 compounds significantly associated with <jats:italic>OCIAD2<\/jats:italic>.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusions<\/jats:title>\n<jats:p>These results indicate that OCIAD2 is a potential prognostic biomarker and therapeutic target for PC patients.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pcbi.1013566","type":"journal-article","created":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T17:51:20Z","timestamp":1759859480000},"page":"e1013566","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":1,"title":["OCIAD2 as a novel prognostic and therapeutic biomarker for pancreatic cancer: A study based on transcriptomic signature and bioinformatics 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