Literature DB >> 28855212

Sensitivity to BUB1B Inhibition Defines an Alternative Classification of Glioblastoma.

Eunjee Lee1,2, Margaret Pain3, Huaien Wang3, Jacob A Herman4, Chad M Toledo5,6, Jennifer G DeLuca4, Raymund L Yong3, Patrick Paddison5,6, Jun Zhu7,2,8.   

Abstract

Glioblastoma multiforme (GBM) remains a mainly incurable disease in desperate need of more effective treatments. In this study, we develop evidence that the mitotic spindle checkpoint molecule BUB1B may offer a predictive marker for aggressiveness and effective drug response. A subset of GBM tumor isolates requires BUB1B to suppress lethal kinetochore-microtubule attachment defects. Using gene expression data from GBM stem-like cells, astrocytes, and neural progenitor cells that are sensitive or resistant to BUB1B inhibition, we created a computational framework to predict sensitivity to BUB1B inhibition. Applying this framework to tumor expression data from patients, we stratified tumors into BUB1B-sensitive (BUB1BS) or BUB1B-resistant (BUB1BR) subtypes. Through this effort, we found that BUB1BS patients have a significantly worse prognosis regardless of tumor development subtype (i.e., classical, mesenchymal, neural, proneural). Functional genomic profiling of BUB1BR versus BUB1BS isolates revealed a differential reliance of genes enriched in the BUB1BS classifier, including those involved in mitotic cell cycle, microtubule organization, and chromosome segregation. By comparing drug sensitivity profiles, we predicted BUB1BS cells to be more sensitive to type I and II topoisomerase inhibitors, Raf inhibitors, and other drugs, and experimentally validated some of these predictions. Taken together, the results show that our BUB1BR/S classification of GBM tumors can predict clinical course and sensitivity to drug treatment. Cancer Res; 77(20); 5518-29. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28855212      PMCID: PMC5645262          DOI: 10.1158/0008-5472.CAN-17-0736

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  52 in total

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2.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

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4.  An RNAi screen identifies TRRAP as a regulator of brain tumor-initiating cell differentiation.

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Journal:  Cell Stem Cell       Date:  2010-01-08       Impact factor: 24.633

5.  In vivo RNAi screen for BMI1 targets identifies TGF-β/BMP-ER stress pathways as key regulators of neural- and malignant glioma-stem cell homeostasis.

Authors:  Gaetano Gargiulo; Matteo Cesaroni; Michela Serresi; Nienke de Vries; Danielle Hulsman; Sophia W Bruggeman; Cesare Lancini; Maarten van Lohuizen
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6.  Molecular pathways: regulation and targeting of kinetochore-microtubule attachment in cancer.

Authors:  Jacob A Herman; Chad M Toledo; James M Olson; Jennifer G DeLuca; Patrick J Paddison
Journal:  Clin Cancer Res       Date:  2014-08-07       Impact factor: 12.531

Review 7.  The spindle-assembly checkpoint in space and time.

Authors:  Andrea Musacchio; Edward D Salmon
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8.  Identification of thioridazine, an antipsychotic drug, as an antiglioblastoma and anticancer stem cell agent using public gene expression data.

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Journal:  Cell Death Dis       Date:  2015-05-07       Impact factor: 8.469

9.  Active MAP kinase in mitosis: localization at kinetochores and association with the motor protein CENP-E.

Authors:  M Zecevic; A D Catling; S T Eblen; L Renzi; J C Hittle; T J Yen; G J Gorbsky; M J Weber
Journal:  J Cell Biol       Date:  1998-09-21       Impact factor: 10.539

Review 10.  An Overview of Alternating Electric Fields Therapy (NovoTTF Therapy) for the Treatment of Malignant Glioma.

Authors:  Kenneth D Swanson; Edwin Lok; Eric T Wong
Journal:  Curr Neurol Neurosci Rep       Date:  2016-01       Impact factor: 5.081

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1.  Hyper-active RAS/MAPK introduces cancer-specific mitotic vulnerabilities.

Authors:  Jacob A Herman; Romario R Romain; Pia Hoellerbauer; Hazheen K Shirnekhi; David C King; Keith F DeLuca; Erin Osborne Nishimura; Patrick J Paddison; Jennifer G DeLuca
Journal:  Proc Natl Acad Sci U S A       Date:  2022-10-03       Impact factor: 12.779

2.  Glioma Subtypes Based on the Activity Changes of Immunologic and Hallmark Gene Sets in Cancer.

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Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-13       Impact factor: 6.055

3.  Bioinformatics analysis of a long non‑coding RNA and mRNA regulation network in rats with middle cerebral artery occlusion based on RNA sequencing.

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Journal:  Mol Med Rep       Date:  2019-05-27       Impact factor: 2.952

4.  Identification of hyper-rewired genomic stress non-oncogene addiction genes across 15 cancer types.

Authors:  Jessica Xin Hjaltelin; Jose M G Izarzugaza; Lars Juhl Jensen; Francesco Russo; David Westergaard; Søren Brunak
Journal:  NPJ Syst Biol Appl       Date:  2019-08-07

5.  Gene set enrichment analysis and meta-analysis to identify six key genes regulating and controlling the prognosis of esophageal squamous cell carcinoma.

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6.  High SGO2 Expression Predicts Poor Overall Survival: A Potential Therapeutic Target for Hepatocellular Carcinoma.

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Review 7.  Molecular Determinants of Malignant Brain Cancers: From Intracellular Alterations to Invasion Mediated by Extracellular Vesicles.

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8.  Identification of potential crucial genes and molecular mechanisms in glioblastoma multiforme by bioinformatics analysis.

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9.  Identification of Genes Associated with the Metastasis of Pheochromocytoma/Paraganglioma Based on Weighted Gene Coexpression Network Analysis.

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10.  Transcriptome analyses identify hub genes and potential mechanisms in adenoid cystic carcinoma.

Authors:  Hong-Bing Liu; Guan-Jiang Huang; Meng-Si Luo
Journal:  Medicine (Baltimore)       Date:  2020-01       Impact factor: 1.817

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