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The interaction of germline variation and somatic cancer driver mutations is under-investigated. Here we describe the genomic mitochondrial landscape in adult acute myeloid leukaemia (AML) and show that rare variants affecting the nuclear- and mitochondrially-encoded complex I genes show near-mutual exclusivity with somatic driver mutations affecting isocitrate dehydrogenase 1 (IDH1), but not IDH2 suggesting a unique epistatic relationship. Whereas AML cells with rare complex I variants or mutations in IDH1 or IDH2 all display attenuated mitochondrial respiration, heightened sensitivity to complex I inhibitors including the clinical-grade inhibitor, IACS-010759, is observed only for IDH1-mutant AML. Furthermore, IDH1 mutant blasts that are resistant to the IDH1-mutant inhibitor, ivosidenib, retain sensitivity to complex I inhibition. We propose that the IDH1 mutation limits the flexibility for citrate utilization in the presence of impaired complex I activity to a degree that is not apparent in IDH2 mutant cells, exposing a mutation-specific metabolic vulnerability. This reduced metabolic plasticity explains the epistatic relationship between the germline complex I variants and oncogenic IDH1 mutation underscoring the utility of genomic data in revealing metabolic vulnerabilities with implications for therapy.
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http://dx.doi.org/10.1038/s41467-022-30223-9 | DOI Listing |
J Neurosurg Case Lessons
September 2025
Division of Pediatric Neurosurgery, Children's Hospital Los Angeles, Los Angeles, California.
Background: Intracranial hypotension (IH) is a secondary headache syndrome that can result from spontaneous or iatrogenic CSF leaks. Subdural hematomas (SDHs) are a particularly dangerous sequela of IH. Although epidural blood patch (EBP) is a recognized treatment for IH, its use in pediatric patients with SDH as a solitary intervention has not been reported.
View Article and Find Full Text PDFBlood Adv
September 2025
Institut de Recherches Cliniques de Montreal - IRCM, Montreal, Quebec, Canada.
Acute myeloid leukemia (AML) with rearrangement of the mixed lineage leukemia gene express MLL-AF9 fusion protein, a transcription factor that impairs differentiation and drives expansion of leukemic cells. We report here that the zinc finger protein GFI1 together with the histone methyltransferase LSD1 occupies the promoter and regulates expression of the lncRNA ELDR in the MLL-r AML cell line THP-1. Forced ELDR overexpression enhanced the growth inhibition of an LSD1i/ATRA combination treatment and reduced the capacity of these cells to generate leukemia in xenografts, leading to a longer leukemia-free survival.
View Article and Find Full Text PDFBlood Adv
September 2025
Zhongnan Hospital of Wuhan University, Wuhan, China.
The role of inflammation in the regulation of acute myeloid leukemia (AML) and stressed hematopoiesis is significant, though the molecular mechanisms are not fully understood. Here, we found that mesenchymal stromal cells (MSCs) had dysregulated expression of the inflammatory cytokine S100A8 in AML. Upregulating S100A8 in MSCs increased the proliferation of AML cells in vitro.
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September 2025
The University of Chicago, Chicago, Illinois, United States.
Long-term maintenance of somatic stem cells relies on precise regulation of self-renewal and differentiation. Understanding the molecular framework for these homeostatic processes is essential for improved cellular therapies and treatment of myeloid neoplasms. CUX1 is a widely expressed, dosage-sensitive transcription factor crucial in development and frequently deleted in myeloid neoplasia in the context of -7/(del7q).
View Article and Find Full Text PDFTarget Oncol
September 2025
Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
Background: Population pharmacokinetic models can potentially provide suggestions for an initial dose and the magnitude of dose adjustment during therapeutic drug monitoring procedures of imatinib. Several population pharmacokinetic models for imatinib have been developed over the last two decades. However, their predictive performance is still unknown when extrapolated to different populations, especially children.
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