Evidence map›Paper›PMID 37420093›Full record

ArticleCancer gene therapy2023

A multi-omics integrative approach unravels novel genes and pathways associated with senescence escape after targeted therapy in NRAS mutant melanoma.

Vincent Gureghian, Hailee Herbst, Ines Kozar, Katarina Mihajlovic, Noël Malod-Dognin, Gaia Ceddia, Cristian Angeli, Christiane Margue, Tijana Randic, Demetra Philippidou and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer gene therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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  7. Isomer-sourced structure iteration methods forComputational and structural biotechnology journal · 2024
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  8. Therapeutic targeting of senescent cells in the CNS.Nature reviews. Drug discovery · 2024
    Review
  9. Review
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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

22 authors at 5 institutions in 3 countries.

Vincent GureghianDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Hailee HerbstDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Ines KozarLaboratoire National de Santé, Dudelange, Luxembourg.
Katarina MihajlovicBarcelona Supercomputing Center, 08034, Barcelona, Spain.
Noël Malod-DogninBarcelona Supercomputing Center, 08034, Barcelona, Spain.
Gaia CeddiaBarcelona Supercomputing Center, 08034, Barcelona, Spain.
Cristian AngeliDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Christiane MargueDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Tijana RandicDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Demetra PhilippidouDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Milène Tetsi NomigniDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Ahmed HemedanLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID 0000-0001-7403-181X
Leon-Charles TrancheventLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Joseph LongworthExperimental and Molecular Immunology, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.ORCID 0000-0003-4644-921X
Mark BauerDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Apurva BadkasDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Anthoula GaigneauxDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Arnaud MullerLuxGen, TMOH and Bioinformatics platform, Data Integration and Analysis unit, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.ORCID 0000-0002-3841-4722
Marek OstaszewskiLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Fabrice TolleDepartment of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg.
Nataša Pržulj *Barcelona Supercomputing Center, 08034, Barcelona, Spain.
Stephanie Kreis *Department of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367, Belvaux, Luxembourg. stephanie.kreis@uni.lu.ORCID 0000-0003-1865-3889
University of Luxembourg · LUBarcelona Supercomputing Center · ESLuxembourg Institute of Health · LUInstitució Catalana de Recerca i Estudis Avançats · ESLaboratoire National de Santé · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapy Induced Senescence (TIS) leads to sustained growth arrest of cancer cells. The associated cytostasis has been shown to be reversible and cells escaping senescence further enhance the aggressiveness of cancers. Chemicals specifically targeting senescent cells, so-called senolytics, constitute a promising avenue for improved cancer treatment in combination with targeted therapies. Understanding how cancer cells evade senescence is needed to optimise the clinical benefits of this therapeutic approach. Here we characterised the response of three different NRAS mutant melanoma cell lines to a combination of CDK4/6 and MEK inhibitors over 33 days. Transcriptomic data show that all cell lines trigger a senescence programme coupled with strong induction of interferons. Kinome profiling revealed the activation of Receptor Tyrosine Kinases (RTKs) and enriched downstream signaling of neurotrophin, ErbB and insulin pathways. Characterisation of the miRNA interactome associates miR-211-5p with resistant phenotypes. Finally, iCell-based integration of bulk and single-cell RNA-seq data identifies biological processes perturbed during senescence and predicts 90 new genes involved in its escape. Overall, our data associate insulin signaling with persistence of a senescent phenotype and suggest a new role for interferon gamma in senescence escape through the induction of EMT and the activation of ERK5 signaling.

Indexed as

InsulinsMelanomaCell Line, TumorCellular SenescenceGTP PhosphohydrolasesHumansMembrane ProteinsMultiomicsProtein Kinase InhibitorsGTP PhosphohydrolasesInsulinsMembrane ProteinsNRAS protein, humanProtein Kinase Inhibitors

Identifiers

PMID37420093
PMCPMC10581906
OpenAlexW4383534884

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.