Evidence map›Paper›PMID 27911816›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

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

Jeonghun Han, Yukyung Jun, So Hyun Kim, Hong-Hoa Hoang, Yeonjoo Jung, Suyeon Kim, Jaesang Kim, Robert H Austin, Sanghyuk Lee, Sungsu Park

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 83 citations in OpenAlex.

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  13. Biomaterial-basedCancer pathogenesis and therapy · 2023
    Review
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  18. Systematic analysis of potential targets of the curcumin analog pentagamavunon-1 (PGV-1) in overcoming resistance of glioblastoma cells to bevacizumab.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Jeonghun HanSchool of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Yukyung JunDepartment of Life Science, Ewha Womans University, Seoul 03760, Korea.
So Hyun KimCenter for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology, Seoul 0202792, Korea.
Hong-Hoa HoangSchool of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Yeonjoo JungEwha Research Center for Systems Biology, Ewha Womans University, Seoul 03760, Korea.
Suyeon KimDepartment of Life Science, Ewha Womans University, Seoul 03760, Korea.
Jaesang KimDepartment of Life Science, Ewha Womans University, Seoul 03760, Korea.
Robert H AustinDepartment of Physics, Princeton University, Princeton, NJ 08544 nanopark@skku.edu sanghyuk@ewha.ac.kr austin@princeton.edu.
Sanghyuk LeeDepartment of Life Science, Ewha Womans University, Seoul 03760, Korea; nanopark@skku.edu sanghyuk@ewha.ac.kr austin@princeton.edu.
Sungsu ParkSchool of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Korea; nanopark@skku.edu sanghyuk@ewha.ac.kr austin@princeton.edu.
Ewha Womans University · KRSungkyunkwan University · KRKorea Institute of Science and Technology · KRKorean Association Of Science and Technology Studies · KRPrinceton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Aldo-Keto ReductasesAntibiotics, AntineoplasticBrain NeoplasmsCell Line, TumorDirected Molecular EvolutionDoxorubicinDrug Resistance, NeoplasmFilaminsGlioblastomaHumansLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesMutationNF-kappa BSignal TransductionAldo-Keto ReductasesAntibiotics, AntineoplasticDoxorubicinFilaminsNF-kappa Bcancerdoxorubicinevolutionmicrohabitatsresistance

Identifiers

PMID27911816
PMCPMC5167174
OpenAlexW2557143494

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.