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

BACKGROUND: The 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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: Our 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. The authors thank the donors, the HUVR-IBiS Biobank (Andalusian Public Health System Biobank and ISCIII-Red de Biobancos PT13/0010/0056), and the Hospital 12 de Octubre Biobank for the human specimens used in this study. Sí

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PID https://www.doi.org/10.1186/s13046-018-0871-7
PID https://www.doi.org/10.1186/s13046-018-0871-7.
PID pmc:PMC6098621
PID pmid:30119639
URL https://academic.microsoft.com/#/detail/2886149552
URL https://dx.doi.org/10.1186/s13046-018-0871-7
URL https://www.ncbi.nlm.nih.gov/pubmed/30119639
URL https://repisalud.isciii.es/bitstream/20.500.12105/6597/1/MAP17predictssensitivityto_2018.pdf
URL https://doaj.org/toc/1756-9966
URL https://jeccr.biomedcentral.com/articles/10.1186/s13046-018-0871-7
URL https://idus.us.es/xmlui/handle/11441/78415
URL http://link.springer.com/content/pdf/10.1186/s13046-018-0871-7.pdf
URL https://jeccr.biomedcentral.com/track/pdf/10.1186/s13046-018-0871-7
URL https://pubmed.ncbi.nlm.nih.gov/30119639/
URL http://hdl.handle.net/20.500.12105/6597
URL http://europepmc.org/articles/PMC6098621
URL http://link.springer.com/article/10.1186/s13046-018-0871-7
URL http://link.springer.com/article/10.1186/s13046-018-0871-7/fulltext.html
URL http://dx.doi.org/10.1186/s13046-018-0871-7
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Access Right Open Access
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Author Amancio Carnero, 0000-0003-4357-3979
Author Sonia Molina-Pinelo, 0000-0002-5726-2453
Contributor Ministerio de Economía y Competitividad (España)
Contributor Centro de Investigación Biomedica en Red - CIBER
Contributor Fundación Científica AECC
Contributor Instituto de Salud Carlos III- ISCIII
Contributor Junta de Anadalucía
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Collected From REPISALUD; Europe PubMed Central; PubMed Central; ORCID; UnpayWall; Datacite; DOAJ-Articles; Crossref; Microsoft Academic Graph
Hosted By REPISALUD; Europe PubMed Central; Journal of Experimental & Clinical Cancer Research
Journal Journal of Experimental & Clinical Cancer Research, 37, null
Publication Date 2018-08-17
Publisher Springer Science and Business Media LLC
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Country Spain
Language Undetermined
Resource Type Other literature type; Article; UNKNOWN
keyword Gene Expression Regulation, Neoplastic
keyword Biomarkers, Tumor
keyword Aged, 80 and over
keyword Cell Line, Tumor
keyword Receptor, Epidermal Growth Factor
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::173371971c7d6885ecfab52746e643cc
Author jsonws_user
Last Updated 26 December 2020, 03:17 (CET)
Created 26 December 2020, 03:17 (CET)