Evidence map›Paper›PMID 26891694›Full record

ArticleCell death and differentiation2016

Molecular profiling reveals primary mesothelioma cell lines recapitulate human disease.

T Chernova, X M Sun, I R Powley, S Galavotti, S Grosso, F A Murphy, G J Miles, L Cresswell, A V Antonov, J Bennett and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Cell death and differentiation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

33 citing papers in PubMed, 56 citations in OpenAlex.

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  16. IsolatedCancers · 2022
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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

16 authors at 4 institutions in 1 country.

T ChernovaMRC Toxicology Unit, University of Leicester, Leicester, UK.
X M SunMRC Toxicology Unit, University of Leicester, Leicester, UK.
I R PowleyMRC Toxicology Unit, University of Leicester, Leicester, UK.
S GalavottiMRC Toxicology Unit, University of Leicester, Leicester, UK.
S GrossoMRC Toxicology Unit, University of Leicester, Leicester, UK.
F A MurphyMRC Toxicology Unit, University of Leicester, Leicester, UK.
G J MilesMRC Toxicology Unit, University of Leicester, Leicester, UK.
L CresswellUHL NHS Trust, Leicester Royal Infirmary, Leicester, UK.
A V AntonovMRC Toxicology Unit, University of Leicester, Leicester, UK.
J BennettUHL NHS Trust, Glenfield Hospital, Leicester, UK.
A NakasUHL NHS Trust, Glenfield Hospital, Leicester, UK.
D DinsdaleMRC Toxicology Unit, University of Leicester, Leicester, UK.
K CainMRC Toxicology Unit, University of Leicester, Leicester, UK.
M BushellMRC Toxicology Unit, University of Leicester, Leicester, UK.
A E WillisMRC Toxicology Unit, University of Leicester, Leicester, UK.
M MacFarlaneMRC Toxicology Unit, University of Leicester, Leicester, UK.
MRC Toxicology Unit · GBUniversity of Leicester · GBGlenfield Hospital · GBLeicester Royal Infirmary · GB

Funding

Medical Research Council MC_EX_G0902052Medical Research Council MC_U132685863Medical Research Council MC_UP_A600_1023Medical Research Council MC_UP_A600_1024
6 · The paper itself

Abstract

Malignant mesothelioma (MM) is an aggressive, fatal tumor strongly associated with asbestos exposure. There is an urgent need to improve MM patient outcomes and this requires functionally validated pre-clinical models. Mesothelioma-derived cell lines provide an essential and relatively robust tool and remain among the most widely used systems for candidate drug evaluation. Although a number of cell lines are commercially available, a detailed comparison of these commercial lines with freshly derived primary tumor cells to validate their suitability as pre-clinical models is lacking. To address this, patient-derived primary mesothelioma cell lines were established and characterized using complementary multidisciplinary approaches and bioinformatic analysis. Clinical markers of mesothelioma, transcriptional and metabolic profiles, as well as the status of p53 and the tumor suppressor genes CDKN2A and NF2, were examined in primary cell lines and in two widely used commercial lines. Expression of MM-associated markers, as well as the status of CDKN2A, NF2, the 'gatekeeper' in MM development, and their products demonstrated that primary cell lines are more representative of the tumor close to its native state and show a degree of molecular diversity, thus capturing the disease heterogeneity in a patient cohort. Molecular profiling revealed a significantly different transcriptome and marked metabolic shift towards a greater glycolytic phenotype in commercial compared with primary cell lines. Our results highlight that multiple, appropriately characterised, patient-derived tumor cell lines are required to enable concurrent evaluation of molecular profiles versus drug response. Furthermore, application of this approach to other difficult-to-treat tumors would generate improved cellular models for pre-clinical evaluation of novel targeted therapies.

Indexed as

MetabolomeAgedCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18FemaleGenomic InstabilityHumansLung NeoplasmsMaleMesotheliomaMesothelioma, MalignantMiddle AgedNeurofibromin 2Oxygen ConsumptionPrincipal Component AnalysisTandem Repeat SequencesCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18Neurofibromin 2TP53 protein, humanTumor Suppressor Protein p14ARFTumor Suppressor Protein p53

Identifiers

PMID26891694
PMCPMC4946883
OpenAlexW2280299238

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.