Cited 83 times in
Transcriptional regulatory networks of tumor-associated macrophages that drive malignancy in mesenchymal glioblastoma
DC Field | Value | Language |
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dc.contributor.author | 이혜원 | - |
dc.date.accessioned | 2022-09-02T01:09:46Z | - |
dc.date.available | 2022-09-02T01:09:46Z | - |
dc.date.issued | 2020-08 | - |
dc.identifier.issn | 1474-7596 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/190018 | - |
dc.description.abstract | Background: Glioblastoma (GBM) is a complex disease with extensive molecular and transcriptional heterogeneity. GBM can be subcategorized into four distinct subtypes; tumors that shift towards the mesenchymal phenotype upon recurrence are generally associated with treatment resistance, unfavorable prognosis, and the infiltration of pro-tumorigenic macrophages. Results: We explore the transcriptional regulatory networks of mesenchymal-associated tumor-associated macrophages (MA-TAMs), which drive the malignant phenotypic state of GBM, and identify macrophage receptor with collagenous structure (MARCO) as the most highly differentially expressed gene. MARCO(high)TAMs induce a phenotypic shift towards mesenchymal cellular state of glioma stem cells, promoting both invasive and proliferative activities, as well as therapeutic resistance to irradiation. MARCO(high)TAMs also significantly accelerate tumor engraftment and growth in vivo. Moreover, both MA-TAM master regulators and their target genes are significantly correlated with poor clinical outcomes and are often associated with genomic aberrations in neurofibromin 1 (NF1) and phosphoinositide 3-kinases/mammalian target of rapamycin/Akt pathway (PI3K-mTOR-AKT)-related genes. We further demonstrate the origination of MA-TAMs from peripheral blood, as well as their potential association with tumor-induced polarization states and immunosuppressive environments. Conclusions: Collectively, our study characterizes the global transcriptional profile of TAMs driving mesenchymal GBM pathogenesis, providing potential therapeutic targets for improving the effectiveness of GBM immunotherapy. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | BioMed Central Ltd | - |
dc.relation.isPartOf | GENOME BIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Animals | - |
dc.subject.MESH | Carcinogenesis | - |
dc.subject.MESH | Cell Line, Tumor | - |
dc.subject.MESH | Disease Models, Animal | - |
dc.subject.MESH | Gene Expression Regulation, Neoplastic | - |
dc.subject.MESH | Gene Regulatory Networks* | - |
dc.subject.MESH | Glioblastoma / genetics* | - |
dc.subject.MESH | Glioblastoma / metabolism | - |
dc.subject.MESH | Glioblastoma / pathology | - |
dc.subject.MESH | Glioma / genetics | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Immunotherapy | - |
dc.subject.MESH | Macrophages / metabolism | - |
dc.subject.MESH | Mice | - |
dc.subject.MESH | Neurofibromin 1 / genetics | - |
dc.subject.MESH | Phenotype | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Stem Cells | - |
dc.subject.MESH | Transcriptome | - |
dc.subject.MESH | Tumor Microenvironment | - |
dc.subject.MESH | Tumor-Associated Macrophages* | - |
dc.title | Transcriptional regulatory networks of tumor-associated macrophages that drive malignancy in mesenchymal glioblastoma | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Hospital Medicine (입원의학과) | - |
dc.contributor.googleauthor | Jason K Sa | - |
dc.contributor.googleauthor | Nakho Chang | - |
dc.contributor.googleauthor | Hye Won Lee | - |
dc.contributor.googleauthor | Hee Jin Cho | - |
dc.contributor.googleauthor | Michele Ceccarelli | - |
dc.contributor.googleauthor | Luigi Cerulo | - |
dc.contributor.googleauthor | Jinlong Yin | - |
dc.contributor.googleauthor | Sung Soo Kim | - |
dc.contributor.googleauthor | Francesca P Caruso | - |
dc.contributor.googleauthor | Mijeong Lee | - |
dc.contributor.googleauthor | Donggeon Kim | - |
dc.contributor.googleauthor | Young Taek Oh | - |
dc.contributor.googleauthor | Yeri Lee | - |
dc.contributor.googleauthor | Nam-Gu Her | - |
dc.contributor.googleauthor | Byeongkwi Min | - |
dc.contributor.googleauthor | Hye-Jin Kim | - |
dc.contributor.googleauthor | Da Eun Jeong | - |
dc.contributor.googleauthor | Hye-Mi Kim | - |
dc.contributor.googleauthor | Hyunho Kim | - |
dc.contributor.googleauthor | Seok Chung | - |
dc.contributor.googleauthor | Hyun Goo Woo | - |
dc.contributor.googleauthor | Jeongwu Lee | - |
dc.contributor.googleauthor | Doo-Sik Kong | - |
dc.contributor.googleauthor | Ho Jun Seol | - |
dc.contributor.googleauthor | Jung-Il Lee | - |
dc.contributor.googleauthor | Jinho Kim | - |
dc.contributor.googleauthor | Woong-Yang Park | - |
dc.contributor.googleauthor | Qianghu Wang | - |
dc.contributor.googleauthor | Erik P Sulman | - |
dc.contributor.googleauthor | Amy B Heimberger | - |
dc.contributor.googleauthor | Michael Lim | - |
dc.contributor.googleauthor | Jong Bae Park | - |
dc.contributor.googleauthor | Antonio Iavarone | - |
dc.contributor.googleauthor | Roel G W Verhaak | - |
dc.contributor.googleauthor | Do-Hyun Nam | - |
dc.identifier.doi | 10.1186/s13059-020-02140-x | - |
dc.contributor.localId | A05913 | - |
dc.relation.journalcode | J00936 | - |
dc.identifier.eissn | 1474-760X | - |
dc.identifier.pmid | 32847614 | - |
dc.contributor.alternativeName | Lee, Hye Won | - |
dc.contributor.affiliatedAuthor | 이혜원 | - |
dc.citation.volume | 21 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 216 | - |
dc.identifier.bibliographicCitation | GENOME BIOLOGY, Vol.21(1) : 216, 2020-08 | - |
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