Evidence map›Paper›PMID 30119639›Full record

ArticleJournal of experimental & clinical cancer research : CR2018

MAP17 predicts sensitivity to platinum-based therapy, EGFR inhibitors and the proteasome inhibitor bortezomib in lung adenocarcinoma.

Irene Ferrer, Álvaro Quintanal-Villalonga, Sonia Molina-Pinelo, Jose Manuel Garcia-Heredia, Marco Perez, Rocío Suárez, Santiago Ponce-Aix, Luis Paz-Ares, Amancio Carnero

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 34 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

9 authors at 6 institutions in 2 countries.

Irene FerrerH12O-CNIO Lung Cancer Clinical Research Unit, Institute i+12O and CNIO, Madrid, Spain.
Álvaro Quintanal-VillalongaH12O-CNIO Lung Cancer Clinical Research Unit, Institute i+12O and CNIO, Madrid, Spain.
Sonia Molina-PineloInstituto de Biomedicina de Sevilla (IBIS) (HUVR, CSIC, Hospital Universitario Virgen del Rocio, University of Seville, Avda. Manuel Siurot s/n, 41013), Seville, Spain.
Jose Manuel Garcia-HerediaCIBER de Cáncer, ISCIII, Madrid, Spain.
Marco PerezCIBER de Cáncer, ISCIII, Madrid, Spain.
Rocío SuárezH12O-CNIO Lung Cancer Clinical Research Unit, Institute i+12O and CNIO, Madrid, Spain.
Santiago Ponce-AixH12O-CNIO Lung Cancer Clinical Research Unit, Institute i+12O and CNIO, Madrid, Spain.
Luis Paz-AresH12O-CNIO Lung Cancer Clinical Research Unit, Institute i+12O and CNIO, Madrid, Spain.
Amancio CarneroCIBER de Cáncer, ISCIII, Madrid, Spain. acarnero-ibis@us.es.
Spanish National Cancer Research Centre · ESInstituto de Salud Carlos III · ESHospital Universitario 12 De Octubre · ESHospital Universitario Virgen del Rocío · ESMemorial Sloan Kettering Cancer Center · USUniversidad de Sevilla · ES

Funding

and Consejeria de Salud of the Junta de Andalucia PI-0096-2014CIBER de Cáncerco-funded by FEDER from Regional Development European Funds CB16/12/00275)CIBERONC , co-funded by FEDER from Regional Development European Funds (CD16/12/00442)Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía CTS-1848Consejería de Salud y Bienestar Social (PI-0046-2012)Instituto de Salud Carlos III and co-funded by the European Union (ERDF/ESF, "Investing in yourfuture"). (PI16/01311)ISCIII PI1401964, PI17/00778, DTS1700089 and PIE15/00076ISCIII . (FI12/00429)RTICC (R12/0036/0028, PI10/00033)Spanish Ministry of Economy and Competitivity Fis: PI15/00045
6 · The paper itself

Abstract

backgroundThe high incidence and mortality of lung tumours is a major health problem. Therefore, the identification both of biomarkers predicting efficacy for therapies in use and of novel efficacious therapeutic agents is crucial to increase patient survival. MAP17 (PDZK1IP1) is a small membrane-bound protein whose upregulation is reported as a common feature in tumours from diverse histological origins. Furthermore, MAP17 is correlated with tumour progression.

methodsWe assessed the expression of MAP17 in preclinical models, including cell lines and patient-derived xenografts (PDXs), assessing its correlation with sensitivity to different standard-of-care drugs in lung adenocarcinoma, as well as novel drugs. At the clinical level, we subsequently correlated MAP17 expression in human tumours with patient response to these therapies.

resultsWe show that MAP17 expression is induced during lung tumourigenesis, particularly in lung adenocarcinomas, and provide in vitro and in vivo evidence that MAP17 levels predict sensitivity to therapies currently under clinical use in adenocarcinoma tumours, including cisplatin, carboplatin and EGFR inhibitors. In addition, we show that MAP17 expression predicts proteasome inhibitor efficacy in this context and that bortezomib, an FDA-approved drug, may be a novel therapeutic approach for MAP17-overexpressing lung adenocarcinomas.

conclusionsOur results indicate a potential prognostic role for MAP17 in lung tumours, with particular relevance in lung adenocarcinomas, and highlight the predictive pot0065ntial of this membrane-associated protein for platinum-based therapy and EGFR inhibitor efficacy. Furthermore, we propose bortezomib treatment as a novel and efficacious therapy for lung adenocarcinomas exhibiting high MAP17 expression.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAdultAgedAged, 80 and overBiomarkers, TumorBortezomibCell Line, TumorCisplatinErbB ReceptorsFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLung NeoplasmsMaleBiomarkers, TumorBortezomibCisplatinEGFR protein, humanErbB ReceptorsMembrane ProteinsPDZK1IP1 protein, humanProteasome InhibitorsProtein Kinase InhibitorsBiomarkersLung cancerPDZK1IP1Treatment efficacy

Identifiers

PMID30119639
PMCPMC6098621
OpenAlexW2886149552

What Socratic holds

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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 Socratic graph.