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Multi-Omics and Machine Learning Analyses Reveal PIK3CG, PRKCD, and TRIM22 as Potential Markers of Poor Prognosis and Immune Activation in Glioblastoma.

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Title: Multi-Omics and Machine Learning Analyses Reveal PIK3CG, PRKCD, and TRIM22 as Potential Markers of Poor Prognosis and Immune Activation in Glioblastoma.
Authors: Han MH; Department of Neurosurgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea., Noh YK; Department of Computer Science, Hanyang University, Seoul, Korea.; School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Korea., Kim H; Department of Neurology, Hanyang University Seoul Hospital, Hanyang University College of Medicine, Seoul, Korea., Kim KS; CardiOmics Program, Center for Heart and Vascular Research, Division of Cardiovascular Medicine, Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE, USA., Kim DH; Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea., Jung US; Department of Obstetrics and Gynecology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea., Lee KS; Department of Pediatrics, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea., Kwon MJ; Department of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea., Chae SW; Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea. chae_sw@hanmail.net., Min KW; Department of Pathology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea. kyueng@hanyang.ac.kr.
Source: Journal of Korean medical science [J Korean Med Sci] 2026 Apr 27; Vol. 41 (16), pp. e130. Date of Electronic Publication: 2026 Apr 27.
Publication Type: Journal Article
Journal Info: Publisher: Korean Academy of Medical Science Country of Publication: Korea (South) NLM ID: 8703518 Publication Model: Electronic Cited Medium: Internet ISSN: 1598-6357 (Electronic) Linking ISSN: 10118934 NLM ISO Abbreviation: J Korean Med Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Multi-Omics and Machine Learning Analyses Reveal PIK3CG, PRKCD, and TRIM22 as Potential Markers of Poor Prognosis and Immune Activation in Glioblastoma.
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  Data: <searchLink fieldCode="AU" term="%22Han+MH%22">Han MH</searchLink>; Department of Neurosurgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.<br /><searchLink fieldCode="AU" term="%22Noh+YK%22">Noh YK</searchLink>; Department of Computer Science, Hanyang University, Seoul, Korea.; School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+H%22">Kim H</searchLink>; Department of Neurology, Hanyang University Seoul Hospital, Hanyang University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+KS%22">Kim KS</searchLink>; CardiOmics Program, Center for Heart and Vascular Research, Division of Cardiovascular Medicine, Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE, USA.<br /><searchLink fieldCode="AU" term="%22Kim+DH%22">Kim DH</searchLink>; Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Jung+US%22">Jung US</searchLink>; Department of Obstetrics and Gynecology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.<br /><searchLink fieldCode="AU" term="%22Lee+KS%22">Lee KS</searchLink>; Department of Pediatrics, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+MJ%22">Kwon MJ</searchLink>; Department of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.<br /><searchLink fieldCode="AU" term="%22Chae+SW%22">Chae SW</searchLink>; Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea. chae_sw@hanmail.net.<br /><searchLink fieldCode="AU" term="%22Min+KW%22">Min KW</searchLink>; Department of Pathology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea. kyueng@hanyang.ac.kr.
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  Data: <searchLink fieldCode="JN" term="%228703518%22">Journal of Korean medical science</searchLink> [J Korean Med Sci] 2026 Apr 27; Vol. 41 (16), pp. e130. <i>Date of Electronic Publication: </i>2026 Apr 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Korean+Academy+of+Medical+Science%22">Korean Academy of Medical Science </searchLink><i>Country of Publication: </i>Korea (South) <i>NLM ID: </i>8703518 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1598-6357 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210118934%22">10118934 </searchLink><i>NLM ISO Abbreviation: </i>J Korean Med Sci <i>Subsets: </i>MEDLINE
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        Value: 10.3346/jkms.2026.41.e130
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              Text: 2026 Apr 27
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