Evidence map›Paper›PMID 30591423›Full record

ArticleNeoplasia (New York, N.Y.)2019

Tumor Initiation Capacity and Therapy Resistance Are Differential Features of EMT-Related Subpopulations in the NSCLC Cell Line A549.

Colin Charles Tièche, Yanyun Gao, Elias Daniel Bührer, Nina Hobi, Sabina Anna Berezowska, Kurt Wyler, Laurène Froment, Stefan Weis, Ren-Wang Peng, Rémy Bruggmann and 9 more

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.9field-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

38 citing papers in PubMed, 62 citations in OpenAlex.

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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

19 authors at 2 institutions in 2 countries.

Colin Charles TiècheDepartment of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of BioMedical Research (DBMR), University of Bern, Switzerland.
Yanyun GaoDepartment of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of BioMedical Research (DBMR), University of Bern, Switzerland.
Elias Daniel BührerDepartment of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Switzerland.
Nina HobiARTORG Center for Biomedical Engineering Research, Organs-on-Chip Technologies, University of Bern, Switzerland, Institute of General Physiology, University of Ulm, Germany.
Sabina Anna BerezowskaInstitute of Pathology, University of Bern, Switzerland.
Kurt WylerInterfaculty Bioinformatics Unit and Swiss Institute of Bioinformatics, University of Bern, Switzerland.
Laurène FromentDepartment of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of BioMedical Research (DBMR), University of Bern, Switzerland.
Stefan WeisDepartment of Biomedicine, University of Basel, Switzerland.
Ren-Wang PengDepartment of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of BioMedical Research (DBMR), University of Bern, Switzerland.
Rémy BruggmannInterfaculty Bioinformatics Unit and Swiss Institute of Bioinformatics, University of Bern, Switzerland.
Primo SchärDepartment of Biomedicine, University of Basel, Switzerland.
Michael Alex AmreinDepartment of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Switzerland.
Sean Ralph Robert HallDepartment of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of BioMedical Research (DBMR), University of Bern, Switzerland.
Patrick DornDepartment of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of BioMedical Research (DBMR), University of Bern, Switzerland.
Gregor KocherDepartment of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of BioMedical Research (DBMR), University of Bern, Switzerland.
Carsten RietherDepartment of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Switzerland.
Adrian OchsenbeinDepartment of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Switzerland.
Ralph Alexander SchmidDepartment of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of BioMedical Research (DBMR), University of Bern, Switzerland. Electronic address: ralph.schmid@insel.ch.
Thomas Michael MartiDepartment of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of BioMedical Research (DBMR), University of Bern, Switzerland. Electronic address: thomas.marti@insel.ch.
University of Bern · CHUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell lines are essential tools to standardize and compare experimental findings in basic and translational cancer research. The current dogma states that cancer stem cells feature an increased tumor initiation capacity and are also chemoresistant. Here, we identified and comprehensively characterized three morphologically distinct cellular subtypes in the non-small cell lung cancer cell line A549 and challenge the current cancer stem cell dogma. Subtype-specific cellular morphology is maintained during short-term culturing, resulting in the formation of holoclonal, meroclonal, and paraclonal colonies. A549 holoclone cells were characterized by an epithelial and stem-like phenotype, paraclone cells featured a mesenchymal phenotype, whereas meroclone cells were phenotypically intermediate. Cell-surface marker expression of subpopulations changed over time, indicating an active epithelial-to-mesenchymal transition (EMT), in vitro and in vivo. EMT has been associated with the overexpression of the immunomodulators PD-L1 and PD-L2, which were 37- and 235-fold overexpressed in para- versus holoclone cells, respectively. We found that DNA methylation is involved in epigenetic regulation of marker expression. Holoclone cells were extremely sensitive to cisplatin and radiotherapy in vitro, whereas paraclone cells were highly resistant. However, inhibition of the receptor tyrosine kinase AXL, whose expression is associated with an EMT, specifically targeted the otherwise highly resistant paraclone cells. Xenograft tumor formation capacity was 24- and 269-fold higher in holo- than mero- and paraclone cells, respectively. Our results show that A549 subpopulations might serve as a unique system to explore the network of stemness, cellular plasticity, tumor initiation capacity, invasive and metastatic potential, and chemo/radiotherapy resistance.

Indexed as

Cell Transformation, NeoplasticEpithelial-Mesenchymal TransitionA549 CellsAnimalsBiomarkersCarcinoma, Non-Small-Cell LungCell Line, TumorCell ProliferationDisease Models, AnimalDNA DamageDNA MethylationGene Expression ProfilingHumansImmunophenotypingLung NeoplasmsMiceBiomarkers

Identifiers

PMID30591423
PMCPMC6309124
OpenAlexW2907642042

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.