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Crake, R.

Publications and source records attributed to Crake, R..

2 recordsLinked to original sources

An MLL-Independent Function of Menin Promotes Resistance to MAPK-Targeted Therapy

BRAF mutant colorectal cancer (CRC) remains difficult to treat despite the clinical use of combined BRAF and EGFR inhibition, highlighting a need to define tumour-intrinsic mechanisms that limit therapeutic response. Here, using genome-wide CRISPR-Cas9 screening in BRAF-mutant CRC cells, we identify MEN1, encoding the chromatin-associated protein Menin, as a selective determinant of sensitivity to combined encorafenib and cetuximab (EC). MEN1 loss markedly enhanced EC-mediated inhibition of cell proliferation and ERK activity while having comparatively little effect in untreated cells, and re-expression of Menin restored resistance. Transcriptomic and chromatin profiling revealed that Menin supports the transcriptional response associated with MAPK signalling. Menin occupied promoters of MAPK/BRAF-responsive genes and EC treatment caused widespread displacement of Menin from chromatin. Phosphoproteomic analysis demonstrated extensive remodelling of MAPK signalling following EC treatment, whereas proximity proteomics showed that the Menin-associated protein complexes remained largely intact despite loss of Menin chromatin occupancy. Importantly, MLL1 loss did not reproduce the sensitising effect of MEN1 deletion, and pharmacological Menin inhibition with revumenib failed to phenocopy either genetic MEN1 loss or acute Menin degradation, indicating that this phenotype is independent of Menin-MLL activity. Together, these findings identify a previously unrecognised, MLL-independent role for Menin in buffering the response of BRAF-mutant CRC cells to MAPK pathway inhibition and suggest targeting Menin, rather than disruption of its interaction with MLL, may provide a strategy for enhancing the response to BRAF-targeted therapy for CRC.

cancer biology↗

Prediction of Gemcitabine sensitivity in resectable Pancreatic Cancer using a Glycation Stress Transcriptomic Signature

BACKGROUND & AIMSPancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer with limited response to systemic therapy. Gemcitabine (GEM) benefits only a subset of patients. Methylglyoxal (MG), a glycolysis byproduct, has been linked to tumor behavior and therapy response in PDAC, suggesting potential as a stratification marker. METHODSWe developed a metabolically informed gene signature (MG-GEM) integrating MG- related glycolytic stress with clinical outcomes. Using the Puleo cohort (n=309), differential expression analysis between tumors with high and low MG stress identified 365 genes. LASSO Cox regression selected 16 prognostic genes, combined into a weighted risk score for patient stratification. MG GEM was validated in internal and external cohorts, including PRODIGE 24/CCTG PA6. Molecular, transcriptomic, and immune features were compared between high and low MG GEM groups. Finally, predictive performance was evaluated against the GemPred signature. RESULTSMG GEM divided PDAC patients into distinct risk groups with marked differences in overall and disease-free survival among GEM treated patients (OS 11.7 vs 27.2 months; DFS 7.6 vs 17.8 months, both p<0.0001). High MG-GEM tumors showed enrichment for KRAS G12D and SMAD4 mutations, basal and activated stroma subtypes, glycolytic metabolism, and reduced immune infiltration. Low MG-GEM tumors showed KRAS G12V, classical and immune subtypes, cholesterogenic metabolism, and adaptive immune favourable signatures. MG-GEM independently predicted GEM-specific clinical outcomes, irrespective of GemPred signature, and significantly enhanced patient stratification when combined with it. Within the PRODIGE-24/TGCC PA6 cohort, MG-GEM exhibited prognostic relevance and selectively identified patients who derived a survival benefit from adjuvant GEM, but not from FOLFIRINOX. CONCLUSIONSThe 16 gene MG GEM signature predicts prognosis in resected PDAC, reflects glycolytic stress driven chemoresistance, surpassing conventional molecular classifications. As a metabolically informed signature, MG-GEM holds promise for guiding chemotherapy selection and informing KRAS-targeted combination strategies, meriting further prospective clinical validation.

cancer biology↗