{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T05:57:10Z","timestamp":1790575030172,"version":"4.1.0"},"reference-count":47,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:00:00Z","timestamp":1790553600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Pediatr."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>This study aimed to identify potential biomarker signatures for medulloblastoma using a ferroptosis-informed analytical framework.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Transcriptomic data from GEO datasets were used to identify differentially expressed ferroptosis-associated genes (DEFeGs) in medulloblastoma by intersecting differentially expressed genes with the FerrDb V2 database. A ferroptosis-related gene (FeRG) score was calculated using ssGSEA. Hub genes correlated with the FeRG score were identified using WGCNA. Candidate feature genes were selected using machine learning algorithms. A nomogram was constructed to predict the probability of medulloblastoma diagnosis. Immune infiltration analysis, drug sensitivity prediction, and qRT-PCR validation of feature gene expression in human samples were performed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 36 DEFeGs associated with medulloblastoma were identified. WGCNA identified 114 hub genes, of which 58 were differentially expressed. Machine learning algorithms identified\n                      <jats:italic>CEND1, LRP1B,<\/jats:italic>\n                      and\n                      <jats:italic>FEZ1<\/jats:italic>\n                      as candidate feature genes. A nomogram based on these genes showed high diagnostic performance, which was supported by ROC analysis (all AUCs &amp;gt; 0.85). Nineteen immune cell types differed significantly between the medulloblastoma and control groups. Additionally,\n                      <jats:italic>FEZ1, CEND1,<\/jats:italic>\n                      and\n                      <jats:italic>LRP1B<\/jats:italic>\n                      showed positive correlations with sensitivity to SGX-523, sabutoclax, and AZD-1208, respectively, whereas all three genes were negatively correlated with sensitivity to allopurinol. The three feature genes were consistently downregulated in medulloblastoma across public datasets and the validation cohort.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      This study identified\n                      <jats:italic>FEZ1, CEND1,<\/jats:italic>\n                      and\n                      <jats:italic>LRP1B<\/jats:italic>\n                      as potential candidate biomarker genes for medulloblastoma through a ferroptosis-informed analytical framework.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fped.2026.1891716","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T05:44:20Z","timestamp":1790574260000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Identification and validation of feature genes using a ferroptosis-informed analytical framework in medulloblastoma"],"prefix":"10.3389","volume":"14","author":[{"given":"Xin","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Ward No.6A, Children's Hospital of Shanghai","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sen","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Children's Hospital of Shanghai","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunfang","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Shanghai United Family Hospital","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Children's Hospital of Shanghai","place":["Shanghai, 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