A cancer tissue-specific FAM72 expression profile defines a novel glioblastoma multiform (GBM) gene-mutation signature
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rahane, Chinmay Satish | - |
dc.contributor.author | Kutzner, Arne | - |
dc.contributor.author | Heese, Klaus | - |
dc.date.accessioned | 2022-07-10T14:55:15Z | - |
dc.date.available | 2022-07-10T14:55:15Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2019-01 | - |
dc.identifier.issn | 0167-594X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/148505 | - |
dc.description.abstract | Introduction Glioblastoma multiform (GBM) is a neural stem cell (NSC)-derived malignant brain tumor with complex genetic alterations challenging clinical treatments. FAM72 is a NSC-specific protein comprised of four paralogous genes (FAM72 A-D) in the human genome, but its functional tumorigenic significance is unclear. Methods We conducted an in-depth expression and somatic mutation data analysis of FAM72 (A-D) in GBM using the comprehensive human clinical cancer study database cBioPortal [including The Cancer Genome Atlas (TCGA)]. Results We established a FAM72 transcription profile across TCGA correlated with the expression of the proliferative marker MKI67 and a tissue-specific gene-mutation signature represented by pivotal genes involved in driving the cell cycle. FAM72 paralogs are overexpressed in cancer cells, specifically correlating with the mitotic cell cycle genes ASPM, KIF14, KIF23, CENPE, CENPE, CEP55, SGO1, and BUB1, thereby contributing to centrosome and mitotic spindle formation. FAM72 expression correlation identifies a novel GBM-specific gene set (SCN9A, MXRA5, ADAM29, KDR, LRP1B, and PIK3C2G) in the de novo pathway of primary GBM predestined as viable targets for therapeutics. Conclusion Our newly identified primary GBM-specific gene-mutation signature, along with FAM72, could thus provide a new basis for prognostic biomarkers for diagnostics of GBM and could serve as potential therapeutic targets. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.title | A cancer tissue-specific FAM72 expression profile defines a novel glioblastoma multiform (GBM) gene-mutation signature | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kutzner, Arne | - |
dc.contributor.affiliatedAuthor | Heese, Klaus | - |
dc.identifier.doi | 10.1007/s11060-018-03029-3 | - |
dc.identifier.scopusid | 2-s2.0-85056318429 | - |
dc.identifier.wosid | 000456968600006 | - |
dc.identifier.bibliographicCitation | JOURNAL OF NEURO-ONCOLOGY, v.141, no.1, pp.57 - 70 | - |
dc.relation.isPartOf | JOURNAL OF NEURO-ONCOLOGY | - |
dc.citation.title | JOURNAL OF NEURO-ONCOLOGY | - |
dc.citation.volume | 141 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 57 | - |
dc.citation.endPage | 70 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Oncology | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalWebOfScienceCategory | Oncology | - |
dc.relation.journalWebOfScienceCategory | Clinical Neurology | - |
dc.subject.keywordPlus | BREAST-CANCER | - |
dc.subject.keywordPlus | PROTEIN | - |
dc.subject.keywordPlus | PROGNOSIS | - |
dc.subject.keywordPlus | PREDICTS | - |
dc.subject.keywordPlus | BIOLOGY | - |
dc.subject.keywordPlus | ADAM29 | - |
dc.subject.keywordPlus | TOOLS | - |
dc.subject.keywordPlus | UGENE | - |
dc.subject.keywordAuthor | Cancer | - |
dc.subject.keywordAuthor | Glia | - |
dc.subject.keywordAuthor | Glioblastoma | - |
dc.subject.keywordAuthor | Neuron | - |
dc.subject.keywordAuthor | SRGAP2 | - |
dc.subject.keywordAuthor | Stem cells | - |
dc.subject.keywordAuthor | TCGA | - |
dc.identifier.url | https://link.springer.com/article/10.1007/s11060-018-03029-3 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.