Evidence map›Paper›PMID 31506424›Full record

ArticleCell death & disease2019

Combining ERBB family and MET inhibitors is an effective therapeutic strategy in cutaneous malignant melanoma independent of BRAF/NRAS mutation status.

Ishani Das, Margareta Wilhelm, Veronica Höiom, Rodolfo Franco Marquez, Fernanda Costa Svedman, Johan Hansson, Rainer Tuominen, Suzanne Egyhàzi Brage

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  9. Many Distinct Ways Lead to Drug Resistance inLife (Basel, Switzerland) · 2021
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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

8 authors at 3 institutions in 2 countries.

Ishani DasDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-2019-8072
Margareta WilhelmDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Veronica HöiomDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Rodolfo Franco MarquezDepartment of Pathology and Cytopathology, Hospitatal Univeristario, UANL, Nuevo Leon, Mexico.ORCID http://orcid.org/0000-0002-6853-8726
Fernanda Costa SvedmanDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Johan HanssonDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Rainer TuominenDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Suzanne Egyhàzi BrageDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden. Suzanne.Egyhazi.Brage@ki.se.ORCID http://orcid.org/0000-0002-0524-2346
Karolinska Institutet · SEKarolinska University Hospital · SEUniversidad Autónoma de Nuevo León · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current treatment modalities for disseminated cutaneous malignant melanoma (CMM) improve survival; however, relapses are common. A number of receptor tyrosine kinases (RTKs) including EGFR and MET have been reported to be involved in CMM metastasis and in the development of resistance to therapy, targeting the mitogen-activated protein kinase (MAPK pathway). IHC analysis showed that patients with higher MET protein expression had a significantly shorter overall survival. In addition, silencing of MET caused an upregulation of EGFR and p-AKT, which was abrogated by concomitant silencing of MET and EGFR in CMM cells resistant to MAPK-targeting drugs. We therefore explored novel treatment strategies using clinically approved drugs afatinib (ERBB family inhibitor) and crizotinib (MET inhibitor), to simultaneously block MET and ERBB family RTKs. The effects of the combination were assessed in cell culture and spheroid models using established CMM and patient-derived short-term cell lines, and an in vivo xenograft mouse model. The combination had a synergistic effect, promoting cell death, concomitant with a potent downregulation of migratory and invasive capacity independent of their BRAF/NRAS mutational status. Furthermore, the combination attenuated tumor growth rate, as ascertained by the significant reduction of Ki67 expression and induced DNA damage in vivo. Importantly, this combination therapy had minimal therapy-related toxicity in mice. Lastly, the cell cycle G2 checkpoint kinase WEE1 and the RTK IGF1R, non-canonical targets, were altered upon exposure to the combination. Knockdown of WEE1 abrogated the combination-mediated effects on cell migration and proliferation in BRAF mutant BRAF inhibitor-sensitive cells, whereas WEE1 silencing alone inhibited cell migration in NRAS mutant cells. In summary, our results show that afatinib and crizotinib in combination is a promising alternative targeted therapy option for CMM patients, irrespective of BRAF/NRAS mutational status, as well as for cases where resistance has developed towards BRAF inhibitors.

Indexed as

AfatinibAnimalsAntineoplastic Combined Chemotherapy ProtocolsCell Line, TumorCrizotinibErbB ReceptorsFemaleGTP PhosphohydrolasesHumansMelanomaMembrane ProteinsMiceMice, SCIDMutationProto-Oncogene Proteins B-rafProto-Oncogene Proteins c-metAfatinibBRAF protein, humanCrizotinibEGFR protein, humanErbB ReceptorsGTP PhosphohydrolasesMembrane ProteinsMET protein, humanNRAS protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins c-met

Identifiers

PMID31506424
PMCPMC6737096
OpenAlexW2973085643

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.