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PXD065735

PXD065735 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleERBB2 signaling drives immune cell evasion and resistance against immunotherapy in small cell lungcancer
DescriptionSmall cell lung cancer (SCLC) represents ~15% of all lung cancers and is characterized by its highly aggressive phenotype and its dismal outcome. Though the addition of immune checkpoint blockade to carboplatin and etoposide treatment has improved outcome in SCLC patients, SCLC cells finally acquire the ability to evade immunosurveillance and resistance against immune checkpoint blockade. To elaborate molecular mechanisms that mediate SCLC immune evasion, we performed high dimensional profiling of human and murine SCLC specimens. We herein comprehensively analyzed matched human samples of primary and metastatic SCLC and found a loss of MHC-I in SCLC metastases indicating that MHC-I loss mediates SCLC immune evasion. Silencing MHC-I in SCLC cells drastically diminished immune cell infiltration and facilitated the formation of metastasis in mice by circumventing immune surveillance. Using mass spectrometry and phospho-tyrosine kinase analysis, we discovered that ERBB2 signaling suppresses MHC-I expression in SCLC cells and stimulates immune modulating transcripts. Mechanistically, genetic and/or pharmacologic blockade of the ERBB2 signaling axis was sufficient to induce MHC-I expression and to prevent immune evasion in autochthonous murine SCLC in a STING-dependent manner. Finally, we demonstrate that the ERBB2 signaling axis regulates MHC-I expression on SCLC cells and is critical in maintaining immune evasion in SCLC. Most strikingly, we here uncover synergistic treatment efficacy by combining ERBB2 inhibition with PD-1 blockade eliciting profound responses in preclinical SCLC models, suggesting this combination for future clinical trials in patients with SCLC.
HostingRepositoryPRIDE
AnnounceDate2025-10-15
AnnouncementXMLSubmission_2025-10-15_05:06:12.862.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterPrerana Wagle
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: NEWT:10090;
ModificationListmonohydroxylated residue
InstrumentOrbitrap Eclipse
Dataset History
RevisionDatetimeStatusChangeLog Entry
02025-07-03 05:41:41ID requested
12025-10-15 05:06:13announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: lung cancer
Contact List
Roland Ullrich
contact affiliationTRIO Translational Research for Infectious Diseases and Oncology, Innere Med I, Uniklinik Köln, Köln
contact emailroland.ullrich@uk-koeln.de
lab head
Prerana Wagle
contact affiliationCECAD Research Center
contact emailproteomics-facility@uni-koeln.de
dataset submitter
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