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PXD035987

PXD035987 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMesothelioma-associated fibroblasts enhance proliferation and migration of malignant pleural mesothelioma cells via Met/PI3K and WNT signaling but do not protect against cisplatin_Secreted proteins
DescriptionIntroduction: Malignant pleural mesothelioma (MPM) is an aggressive malignancy with poor prognosis. Unlike many other cancers, MPM is mostly characterized by inactivation of tumor suppressor genes. Its highly malignant nature in absence of tumor driving oncogene mutations indicates an extrinsic supply of stimulating signals by cells of the tumor microenvironment (TME). Cancer-associated fibroblasts (CAFs) are an abundant cell type of the TME and have been shown to drive the progression of several cancer types. The aim of the current study was to isolate and characterize patient-derived mesothelioma-associated fibroblasts (Meso-CAFs), and evaluate their impact on MPM cells. Methods: Meso-CAFs were isolated from surgical specimens of MPM patients and analyzed by comparative genomic hybridization, transcriptomics and proteomics. Human MPM cell lines were retrovirally transduced with GFP. The impact of Meso-CAFs on tumor cell growth, migration, and response to pathway inhibitors and cisplatin was investigated in 2D and 3D co-culture models by videomicroscopy and automated image analysis. Results: Meso-CAFs possess normal genomes without gene copy number aberrations typical for MPM cells. They express CAF markers and lack MPM marker expression. Their proteome and secretome profiles clearly differ from normal lung fibroblasts with particularly strong differences in the fraction of actively secreted proteins. The presence of Meso-CAFs in co-culture resulted in increased proliferation and migration of MPM cells. A similar effect on cell growth was induced by conditioned medium. Met/PI3K or WNT signaling inhibition abolished the Meso-CAF-mediated growth stimulation. While Meso-CAFs reduced the efficacy of EGFR inhibition in co-cultures, they did not provide protection of tumor cells against cisplatin. Conclusion: Our study provides the first characterization of human patient-derived Meso-CAFs and demonstrates a strong impact of Meso-CAFs on tumor cell growth and migration, two key aspects of MPM aggressiveness, indicating a substantial role of Meso-CAFs in driving MPM progression. Moreover, we show that Meso-CAFs significantly influence drug response and identify signaling pathways required for Meso-CAF-mediated growth stimulation. These data could be relevant for improving therapeutic strategies in MPM.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_09:01:26.472.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChristopher Gerner
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListiodoacetamide derivatized residue
InstrumenttimsTOF Pro
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-08-11 03:05:36ID requested
12023-06-20 04:02:46announced
22023-11-14 09:02:03announced2023-11-14: Updated project metadata.
Publication List
Ries A, Flehberger D, Slany A, Pirker C, Mader JC, Mohr T, Schelch K, Sinn K, Mosleh B, Hoda MA, Dome B, Dolznig H, Krupitza G, M, ΓΌ, llauer L, Gerner C, Berger W, Grusch M, Mesothelioma-associated fibroblasts enhance proliferation and migration of pleural mesothelioma cells via c-Met/PI3K and WNT signaling but do not protect against cisplatin. J Exp Clin Cancer Res, 42(1):27(2023) [pubmed]
Keyword List
submitter keyword: Human malignant pleural mesothelioma-associated fibroblasts (CAFs), high-resolution timsTOF-based proteomics analyses, Cisplatin
Contact List
Christopher Gerner
contact affiliationUniversity of Vienna, Faculty of Chemistry, Department of Analytical Chemistry
contact emailchristopher.gerner@univie.ac.at
lab head
Christopher Gerner
contact affiliationUniversity of Vienna
contact emailchristopher.gerner@univie.ac.at
dataset submitter
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