{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:48:41Z","timestamp":1780634921301,"version":"3.54.1"},"reference-count":59,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:00:00Z","timestamp":1765497600000},"content-version":"vor","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2024YFB3214400"],"award-info":[{"award-number":["2024YFB3214400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012456","name":"National Social Science Fund of China","doi-asserted-by":"publisher","award":["2024\u2010SKJJ\u2010B\u2010047"],"award-info":[{"award-number":["2024\u2010SKJJ\u2010B\u2010047"]}],"id":[{"id":"10.13039\/501100012456","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017596","name":"Natural Science Basic Research Program of Shaanxi Province","doi-asserted-by":"publisher","award":["2023\u2010JC\u2010QN\u20100912"],"award-info":[{"award-number":["2023\u2010JC\u2010QN\u20100912"]}],"id":[{"id":"10.13039\/501100017596","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Reports"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Current clinical staging of prostate cancer (PCa) using the tumor\u2010node\u2010metastasis (TNM) system and serum biomarkers remains limited in distinguishing locally advanced (T3b) PCa from organ\u2010confined (T2c) disease.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>Building on our previous biomarker discovery in differentiating PCa from that of benign prostatic hyperplasia, this study pioneers a radiotranscriptomic model to distinguish T3b stage PCa from T2c stage PCa by integrating contrast\u2010enhanced ultrasound (CEUS) radiomics with stage\u2010specific transcriptomic signatures, addressing a critical knowledge gap in precision staging.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and Results<\/jats:title>\n                    <jats:p>This prospective study was approved by the review board of Chinese PLA General Hospital (S2021\u2010565\u201001), and all participants provided written informed consent. Transrectal B\u2010mode ultrasound images and contrast\u2010enhanced ultrasound images on two imaging planes were prospectively analyzed in 48 patients with biopsy\u2010confirmed PCa (35 patients with stage T2c and 13 with stage T3b). Textural features were evaluated using microvascular ultrasonography and contrast\u2010enhanced ultrasound. Radiomic data were then retrieved from all modes. An across\u2010the\u2010board investigation of mRNA and miRNA expressions was also performed in the two PCa stages. Six biomarkers (frizzled 4, ribosomal protein S7, ribosomal protein L29, miR\u2010374c, miR\u20109, and miR\u20106510) were identified to differentiate T3b stage from T2c stage. The area under the curve (AUC) values of the combined set (AUC\u2009=\u20090.887, 0.956, and 0.996 for random forest, na\u00efve Bayes, and support vector machine, respectively) and radiomic features alone (AUC\u2009=\u20090.921, 0.957, and 0.998, respectively) were found to be more accurate than those of the transcriptomic data alone (AUC\u2009=\u20090.583, 0.716, and 0.898, respectively) or clinical features alone (AUC\u2009=\u20090.585, 0.675, and 0.953, respectively). The PCa gene regulatory network comprised of four miRNAs (miR\u2010148, miR\u2010141, miR\u2010342, and miR\u2010210) may contribute to accelerating tumor progression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We established the new radiotranscriptomic signatures specifically optimized for differentiating T3b stage from T2c stage by decoding stage\u2010specific imaging\u2010genomic crosstalk. This new approach may overcome TNM staging limitations.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cnr2.70391","type":"journal-article","created":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T01:34:07Z","timestamp":1765589647000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A New Radiotranscriptomic Approach to Analyze Combined Sets of T3b Stage\u2010Specific Genes and Radiomic Features in Prostate Cancer"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4401-1257","authenticated-orcid":false,"given":"Qian","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Ultrasound, Air Force Medical Center Air Force Military Medical University  Beijing China"},{"name":"Department of Ultrasound, First Medical Center Chinese PLA General Hospital  Beijing 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