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PXD059186

PXD059186 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleIntegration of functional precision oncology testing defines immunotherapies strategies for mucosal melanomas.
DescriptionMucosal melanomas (MM) arise from mucosal melanocytes at different anatomical sites. MM are rare and highly aggressive, and their outcome is very poor.  Only dismal clinical benefits have been obtained for the disseminated disease, with very limited promising results using approved immune checkpoint inhibitors. Compared to the cutaneous counterpart, data on the immunogenicity and IFN-γ sensitivity of MM are largely missing. Here, we explored these issues combining microscopy and -omics approaches on a set of unique sino-nasal melanoma (SN-MM) cell lines and clinical samples.  All SN-MM cell lines display normal surface expression of IFNGR along with integrity of the IFNGR/JAK/STAT signaling pathway. Moreover, as a group, all SN-MM cell lines resulted responsive to the administration of IFN-γ as measured by transcriptomic and proteomic signatures. Specifically, IFN-γ induced canonical IFN-γ regulated genes involved in immune cell recognition and antigen presentation. In sixty percent of SN-MM cell lines IFN-γ also exerted a direct cytotoxic and anti-proliferative effect, release of CXCL10 and surface expression of CD274/PD-L1; the remaining fraction of SN-MM cell lines display IFN-γ functional refractoriness, likely dependent on post-transcriptional regulation of the IFN-γ regulated molecules. Analysis of clinical samples revealed that SN-MM are immune desert with scarce tumor-infiltrating lymphocytes (TILs), a feature predicting unfavourable outcomes; moreover, they resulted negative for CD274/PD-L1. This set of findings indicates that integration of functional precision oncology might refine the characterization of immune escape mechanisms to better allocate melanoma patients to various IT options.
HostingRepositoryPRIDE
AnnounceDate2026-03-16
AnnouncementXMLSubmission_2026-03-16_04:05:50.975.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMarcello Manfredi
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
InstrumentTripleTOF 5600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-12-23 05:51:32ID requested
12026-03-16 04:05:52announced
Publication List
10.1136/jitc-2025-012222;
Monti M, Picinoli S, Bozzola A, Ferrari M, Bugatti M, Pezzali I, Carlomagno M, Carta G, Orlandi M, Lora G, Benerini Gatta L, Missale F, Ferrari G, Baldazzi V, Rezzola S, Tabellini G, Parolini S, Manfredi M, De Giorgis V, Marengo E, Turri-Zanoni M, Nicolai P, Consoli F, Lombardi D, Martini P, Li J, Griffith O, Griffith M, Rossato M, Vermi W, Integrating interferon gamma receptor pathways, antigenicity, and immune contexture as predictors of immunotherapeutic strategies for mucosal melanomas. J Immunother Cancer, 14(3):(2026) [pubmed]
Keyword List
submitter keyword: proteomics, IFNgamma,Mucosal melanoma
Contact List
Marcello Manfredi
contact affiliationUniversità del Piemonte Orientale, Dipartimento di medicina traslazionale.
contact emailmarcello.manfredi@uniupo.it
lab head
Marcello Manfredi
contact affiliationUniversity of Eastern Piedmont
contact emailmarcello.manfredi@uniupo.it
dataset submitter
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