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PXD044987-2

PXD044987 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleTumour mtDNA mutations drive aerobic glycolysis to enhance checkpoint blockade (part 2)
DescriptionMitochondrial DNA (mtDNA) encodes essential machinery for respiration and metabolic homeostasis but is paradoxically among the most common targets of somatic mutations in the cancer genome, with truncating mutations in complex I genes being over-represented1 . While mtDNA mutations have been associated with both improved and worsened prognoses in several cancer lineages1–3, whether these mutations are drivers, or exert any functional effect on tumour biology remains controversial. Here we discover that complex I-encoding mtDNA mutations are sufficient to remodel the tumour immune landscape and therapeutic resistance to immune checkpoint blockade. Using mtDNA base editing technology we engineered recurrent truncating mutations in the mtDNA-encoded complex I gene, Mt-Nd5, into murine models of melanoma. Mechanistically, these mutations promoted utilisation of pyruvate as a terminal electron acceptor and increased glycolytic flux driven by an over-reduced NAD pool and NADH shuttling between GAPDH and MDH1, mediating a Warburg-like metabolic shift. In turn, without modifying tumour growth, this altered cancer cell-intrinsic metabolism reshaped the tumour microenvironment of mouse and human cancer in a mutation load-dependent fashion, encouraging an anti-tumour immune response. This subsequently sensitises both mouse and human cancers with high mtDNA mutant heteroplasmy to immune checkpoint blockade. Strikingly, patient lesions bearing >50% mtDNA mutation load demonstrated a >2.5-fold improved response rate to checkpoint inhibitor blockade. Taken together these data nominate mtDNA mutations as functional regulators of cancer metabolism and tumour biology, with potential for therapeutic exploitation and treatment stratification.
HostingRepositoryPRIDE
AnnounceDate2024-10-22
AnnouncementXMLSubmission_2024-10-22_06:13:51.163.xml
DigitalObjectIdentifierhttps://dx.doi.org/10.6019/PXD044987
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterSergio Lilla
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-08-31 01:35:54ID requested
12023-11-08 02:15:46announced
22024-10-22 06:13:51announced2024-10-22: Updated project metadata.
Publication List
10.6019/PXD044987;
Keyword List
submitter keyword: Melanoma, Cancer, Complex I,Mitochondrial DNA
Contact List
Sara Rossana Zanivan
contact affiliationCRUK - Beatson Institute for Cancer Research - Switchback Rd, Bearsden, Glasgow G61 1BD - United Kingdom
contact emails.zanivan@beatson.gla.ac.uk
lab head
Sergio Lilla
contact affiliationProteomics
contact emails.lilla@beatson.gla.ac.uk
dataset submitter
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Dataset FTP location
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