{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T15:14:24Z","timestamp":1792422864460,"version":"4.5.0"},"reference-count":46,"publisher":"Wiley","issue":"58","license":[{"start":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:00:00Z","timestamp":1787097600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:00:00Z","timestamp":1787097600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Materials"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Nucleic acid therapeutics offer promise for precision cancer treatment, but are limited by inaccurate target selection and inefficient delivery. This work presents a therapeutic platform combining dual machine learning models (LASSO and RSF)\u2010based miRNA target screening with a modular biomimetic nanocarrier system. Systematic screening and experimental validation identify miR\u2010873 as a previously uncharacterized tumor\u2010suppressive miRNA in prostate cancer, and miR\u201020a as oncogenic. Mechanistic studies reveal that they regulate HNRNPK and ABL2, modulating pathways involved in proliferation and metastasis. Then, the biomimetic nanocarrier, engineered with prostate cancer cell\u2010derived endoplasmic reticulum membrane (ERM), is successfully developed for cytosolic co\u2010delivery of miR\u2010873 mimic and miR\u201020a inhibitor in prostate cancer, achieving significant and synergistic suppression of tumor proliferation and metastasis both in vitro and in vivo. Besides, co\u2010loading with docetaxel further enhances antitumor effects, underscoring its potential for combination therapies to inhibit cancer progression. These findings highlight both the therapeutic synergy of rationally selected miRNA combinations and the platform's versatility for precision cancer treatment.<\/jats:p>","DOI":"10.1002\/adma.202521283","type":"journal-article","created":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T11:28:22Z","timestamp":1787138902000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Machine Learning\u2010Based Screening of Optimal miRNA Targets Enabled by a Cytosolic Delivery Carrier for Augmenting Cancer Therapy"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1466-7063","authenticated-orcid":false,"given":"Hang","family":"Xu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Systems Medicine for Cancer Shanghai Cancer Institute Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine  Shanghai P. R. 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