{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T20:35:08Z","timestamp":1784666108574,"version":"3.55.0"},"reference-count":55,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2025,12,7]],"date-time":"2025-12-07T00:00:00Z","timestamp":1765065600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,12,7]],"date-time":"2025-12-07T00:00:00Z","timestamp":1765065600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["iubmb.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Biotech and App Biochem"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    <jats:bold>Purpose<\/jats:bold>\n                    : This study sought to identify radiotherapy\u2010 and immune\u2010related genes linked to prognosis, as well as develop a predictive model for thyroid cancer (THCA).\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Methods<\/jats:bold>\n                    : The THCA transcriptomic dataset was obtained from the UCSC Xena Database, followed by screening for differentially expressed immune\u2010related genes (DE\u2010IRGs) linked to radiotherapy sensitivity. Then, a risk score (RS) predictive model for patient stratification was developed by selecting DE\u2010IRGs associated with prognosis, and its efficacy was evaluated using a nomogram and receiver operating characteristic curves. Next, KEGG pathways and immune cell infiltration patterns in different risk categories were estimated.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Results<\/jats:bold>\n                    : Our study identified 40 DE\u2010IRGs in THCA, and nine genes, including\n                    <jats:italic>ULBP2, PDIA3, PIK3R3, PGF, CAMP, CLDN4, GRP, SFTPA1<\/jats:italic>\n                    , and\n                    <jats:italic>NR1D1<\/jats:italic>\n                    , were identified as characteristic genes. Subjects with low RS have better survival outcomes. The prediction nomogram was constructed by using the RS model, radiotherapy, and age. Patients across different risk groups showed distinct involvement in 11 KEGG pathways, including tyrosine metabolism, glycine serine, and threonine metabolism, as well as infiltration of eight immune cells, such as T\u2010cell follicular helper, B\u2010cell plasma, T\u2010cell regulatory (Tregs), and T\u2010cell CD4\n                    <jats:sup>+<\/jats:sup>\n                    memory resting. Among the selected DE\u2010IRGs, PDIA3, PGF, and GRP were related to more immune\u2010related items than other genes.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Conclusion<\/jats:bold>\n                    : A prognostic model utilizing the RS value was successfully proposed. Meanwhile, we identified PDIA3, PGF, and GRP as novel treatment biomarkers for THCA.\n                  <\/jats:p>","DOI":"10.1002\/bab.70092","type":"journal-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T05:55:20Z","timestamp":1765173320000},"page":"1252-1266","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Developing a Radiotherapy and Immune\u2010Related Genes\u2010Based Prognostic Model to Predict Prognosis and Immune Microenvironment in Thyroid Cancer"],"prefix":"10.1002","volume":"73","author":[{"given":"Jianming","family":"Cheng","sequence":"first","affiliation":[{"name":"Department of Radiology Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiology Shuguang Hospital Affiliated to 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