Mesenchymal Differentiation Mediated by NF-κB Promotes Radiation Resistance in Glioblastoma
Krishna P.L. Bhat,Veerakumar Balasubramaniyan,Brian Vaillant,Ravesanker Ezhilarasan,Karlijn Hummelink,Faith Hollingsworth,Khalida Wani,Lindsey Heathcock,Johanna D. James,Lindsey D. Goodman,Siobhan Conroy,Lihong Long,Nina Lelic,Suzhen Wang,Joy Gumin,Divya Raj,Yoshinori Kodama,Aditya Raghunathan,Adriana Olar,Kaushal Joshi,Christopher E. Pelloski,Amy B. Heimberger,Se Hoon Kim,Daniel P. Cahill,Ganesh Rao,Wilfred F. A. den Dunnen,Hendrikus Boddeke,Heidi S. Phillips,Ichiro Nakano,Frederick F. Lang,Howard Colman,Erik P. Sulman,Kenneth Aldape +32 more
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TL;DR: It is shown that patient-derived glioma sphere cultures that resemble either the proneural (PN) or mesenchymal (MES) transcriptomal subtypes differ significantly in their biological characteristics, and it is suggested that the tumor microenvironment cell types such as macrophages/microglia may play an integral role in this process.
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About: This article is published in Cancer Cell. The article was published on 09 Sep 2013. and is currently open access. The article focuses on the topics: Mesenchymal Glioblastoma & Tumor microenvironment.
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Citations
Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients.
Zihao Wang,Yaning Wang,Tianrui Yang,Hao Xing,Yuekun Wang,Lu Gao,Xiaopeng Guo,Bing Xing,Yu Wang,Wenbin Ma +9 more
TL;DR: Based on their stemness signature, GBM patients were divided into two subtypes via consensus clustering, and patients in Stemness Subtype I presented significantly better overall survival (OS) but poorer progression-free survival (PFS) than patients in SBS II.
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miR-218 opposes a critical RTK-HIF pathway in mesenchymal glioblastoma
Lijoy K. Mathew,Nicolas Skuli,Vera Mucaj,Samuel S. Lee,Pascal O. Zinn,Pratheesh Sathyan,Hongxia Z. Imtiyaz,Zhongfa Zhang,Ramana V. Davuluri,Shilpa Rao,Sriram Venneti,Priti Lal,Justin D. Lathia,Jeremy N. Rich,Brian Keith,Brian Keith,Andy J. Minn,M. Celeste Simon,M. Celeste Simon +18 more
TL;DR: It is demonstrated here that mice harboring intracranial tumors with increased miR-218 expression exhibit significantly reduced tumor burden and increased survival when challenged with the chemotherapeutic agent temozolomide.
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NF-κB Affects Proliferation and Invasiveness of Breast Cancer Cells by Regulating CD44 Expression
TL;DR: Analysis of the role of NF-κB in regulating CD44 expression in triple negative breast cancer cells, MDA-MB-231 and SUM159 provides new insight into the molecular mechanism underlying CD44 regulation but also potential therapeutic targets that may help eliminate chemo- and radiation-resistant cancer cells.
MiR-215 Is Induced Post-transcriptionally via HIF-Drosha Complex and Mediates Glioma-Initiating Cell Adaptation to Hypoxia by Targeting KDM1B.
Jing Hu,Tao Sun,Hui Wang,Zhengxin Chen,Shuai Wang,Lifeng Yuan,Tingyu Liu,Hairi Li,Pingping Wang,Yukuan Feng,Qinhong Wang,Roger E. McLendon,Allan H. Friedman,Stephen T. Keir,Darell D. Bigner,Jeffrey C. Rathmell,Xiang-Dong Fu,Qi-Jing Li,Huibo Wang,Xiao-Fan Wang +19 more
TL;DR: It is reported that hypoxia-induced miR-215 is vital for reprograming GICs to fit the hypoxic microenvironment via suppressing the expression of an epigenetic regulator KDM1B and modulating activities of multiple pathways.
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NF-κB and STAT3 in Glioblastoma: Therapeutic Targets Coming of Age
TL;DR: General improvements in the molecular understanding of GBM are addressed, the structure of NF-κB and STAT3 signaling, the ways in which these pathways contribute to GBM and advances in preclinical and clinical targeting of these two signaling cascades are addressed.
References
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
Aravind Subramanian,Pablo Tamayo,Vamsi K. Mootha,Sayan Mukherjee,Benjamin L. Ebert,Michael A. Gillette,Amanda G. Paulovich,Scott L. Pomeroy,Todd R. Golub,Eric S. Lander,Jill P. Mesirov +10 more
TL;DR: The Gene Set Enrichment Analysis (GSEA) method as discussed by the authors focuses on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation.
Bioconductor: open software development for computational biology and bioinformatics
Robert Gentleman,Vincent J. Carey,Douglas M. Bates,Benjamin M. Bolstad,Marcel Dettling,Sandrine Dudoit,Byron Ellis,Laurent Gautier,Yongchao Ge,Jeff Gentry,Kurt Hornik,Torsten Hothorn,Wolfgang Huber,Stefano Maria Iacus,Rafael A. Irizarry,Friedrich Leisch,Cheng Li,Martin Maechler,A. J. Rossini,Günther Sawitzki,Colin A. Smith,Gordon K. Smyth,Luke Tierney,Jean Yang,Jianhua Zhang +24 more
TL;DR: Details of the aims and methods of Bioconductor, the collaborative creation of extensible software for computational biology and bioinformatics, and current challenges are described.
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Glynn Dennis,Brad T. Sherman,Douglas A. Hosack,Jun Jun Yang,Wei Gao,H. Clifford Lane,Richard A. Lempicki +6 more
TL;DR: DAMID is a web-accessible program that integrates functional genomic annotations with intuitive graphical summaries that assists in the interpretation of genome-scale datasets by facilitating the transition from data collection to biological meaning.
Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1
Roel G.W. Verhaak,Katherine A. Hoadley,Elizabeth Purdom,Victoria Wang,Yuan-yuan Qi,Matthew D. Wilkerson,C. Ryan Miller,Li Ding,Todd R. Golub,Jill P. Mesirov,Gabriele Alexe,Michael S. Lawrence,Michael O'Kelly,Pablo Tamayo,Barbara A. Weir,Stacey Gabriel,Wendy Winckler,Supriya Gupta,Lakshmi Jakkula,Heidi S. Feiler,J. Graeme Hodgson,C. David James,Jann N. Sarkaria,Cameron Brennan,Ari B. Kahn,Paul T. Spellman,Richard K. Wilson,Terence P. Speed,Terence P. Speed,Joe W. Gray,Matthew Meyerson,Gad Getz,Charles M. Perou,Charles M. Perou,D. Neil Hayes +34 more
TL;DR: A robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes is described and multidimensional genomic data is integrated to establish patterns of somatic mutations and DNA copy number.
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MGMT Gene Silencing and Benefit from Temozolomide in Glioblastoma
Monika E. Hegi,Annie-Claire Diserens,Thierry Gorlia,Marie-France Hamou,Nicolas de Tribolet,Nicolas de Tribolet,Michael Weller,Johan M. Kros,Johannes A. Hainfellner,Warren P. Mason,Luigi Mariani,Jacoline E C Bromberg,Peter Hau,René O. Mirimanoff,J. Gregory Cairncross,Robert C. Janzer,Roger Stupp +16 more
TL;DR: Patients with glioblastoma containing a methylated MGMT promoter benefited from temozolomide, whereas those who did not have a methylation of theMGMT promoter did notHave such a benefit and were assigned to only radiotherapy.
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