Literature DB >> 27911816

Rapid emergence and mechanisms of resistance by U87 glioblastoma cells to doxorubicin in an in vitro tumor microfluidic ecology.

Jeonghun Han1, Yukyung Jun2,3, So Hyun Kim4, Hong-Hoa Hoang1, Yeonjoo Jung3, Suyeon Kim2,3, Jaesang Kim2,3, Robert H Austin5, Sanghyuk Lee6,3, Sungsu Park7.   

Abstract

In vitro prediction of the probable rapid emergence of resistance to a drug in tumors could act to winnow out potential candidates for further costly development. We have developed a microfluidic device consisting of ∼500 hexagonal microcompartments that provides a complex ecology with wide ranges of drug and nutrient gradients and local populations. This ecology of a fragmented metapopulation induced the drug resistance in stage IV U87 glioblastoma cells to doxorubicin in 7 d. Exome and transcriptome sequencing of the resistant cells identified mutations and differentially expressed genes. Gene ontology and pathway analyses of the genes identified showed that they were functionally relevant to the established mechanisms of doxorubicin action. Specifically, we identified (i) a frame-shift insertion in the filamin-A gene, which regulates the influx and efflux of topoisomerase II poisons; (ii) the overexpression of aldo-keto reductase enzymes, which convert doxorubicin into doxorubicinol; and (iii) activation of NF-κB via alterations in the nucleotide-binding oligomerization domain (NOD)-like receptor signaling pathway from mutations in three genes (CARD6, NSD1, and NLRP13) and the overexpression of inflammatory cytokines. Functional experiments support the in silico analyses and, together, demonstrate the effects of these genetic changes. Our findings suggest that, given the rapid evolution of resistance and the focused response, this technology could act as a rapid screening modality for genetic aberrations leading to resistance to chemotherapy as well as counter selection of drugs unlikely to be successful ultimately.

Entities:  

Keywords:  cancer; doxorubicin; evolution; microhabitats; resistance

Mesh:

Substances:

Year:  2016        PMID: 27911816      PMCID: PMC5167174          DOI: 10.1073/pnas.1614898113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  37 in total

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4.  Wnt5a-mediating neurogenesis of human adipose tissue-derived stem cells in a 3D microfluidic cell culture system.

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Journal:  Biomaterials       Date:  2011-06-25       Impact factor: 12.479

5.  U87MG decoded: the genomic sequence of a cytogenetically aberrant human cancer cell line.

Authors:  Michael James Clark; Nils Homer; Brian D O'Connor; Zugen Chen; Ascia Eskin; Hane Lee; Barry Merriman; Stanley F Nelson
Journal:  PLoS Genet       Date:  2010-01-29       Impact factor: 5.917

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Review 7.  Circumventing cancer drug resistance in the era of personalized medicine.

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8.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

Authors:  Bo Li; Colin N Dewey
Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

9.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

10.  WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013.

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Journal:  Nucleic Acids Res       Date:  2013-05-23       Impact factor: 16.971

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  26 in total

1.  Microfluidics in Malignant Glioma Research and Precision Medicine.

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2.  Dissecting and rebuilding the glioblastoma microenvironment with engineered materials.

Authors:  Kayla J Wolf; Joseph Chen; Jason Coombes; Manish K Aghi; Sanjay Kumar
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Review 3.  NLRs as Helpline in the Brain: Mechanisms and Therapeutic Implications.

Authors:  Shalini Singh; Sushmita Jha
Journal:  Mol Neurobiol       Date:  2018-03-06       Impact factor: 5.590

4.  Differential detachment of intact and viable cells of different sizes using laser-induced microbubbles.

Authors:  Wanyoung Lim; Seungjin Lee; Sungsu Park; Hyoung Won Baac
Journal:  Biomed Opt Express       Date:  2019-09-04       Impact factor: 3.732

5.  The role of heterogeneous environment and docetaxel gradient in the emergence of polyploid, mesenchymal and resistant prostate cancer cells.

Authors:  Ke-Chih Lin; Gonzalo Torga; Yusha Sun; Robert Axelrod; Kenneth J Pienta; James C Sturm; Robert H Austin
Journal:  Clin Exp Metastasis       Date:  2019-02-27       Impact factor: 5.150

6.  Epithelial and mesenchymal prostate cancer cell population dynamics on a complex drug landscape.

Authors:  Ke-Chih Lin; Gonzalo Torga; Amy Wu; Joshua D Rabinowitz; Wesley J Murray; James C Sturm; Kenneth J Pienta; Robert Austin
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7.  Optimizing the Design of Blood-Brain Barrier-Penetrating Polymer-Lipid-Hybrid Nanoparticles for Delivering Anticancer Drugs to Glioblastoma.

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8.  Transcriptome profiling analysis reveals that CXCL2 is involved in anlotinib resistance in human lung cancer cells.

Authors:  Jun Lu; Wei Xu; Jie Qian; Shuyuan Wang; Bo Zhang; Lele Zhang; Rong Qiao; Minjuan Hu; Yiming Zhao; Xiaodong Zhao; Baohui Han
Journal:  BMC Med Genomics       Date:  2019-03-13       Impact factor: 3.063

Review 9.  Microengineered 3D Tumor Models for Anti-Cancer Drug Discovery in Female-Related Cancers.

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Review 10.  Aldo-Keto Reductases and Cancer Drug Resistance.

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