Highlights d Melanoma persister cells switch from glycolysis to mitochondrial respiration d Fatty acid oxidation (FAO) signature is upregulated in melanoma persister cells d Peroxisomal FAO is mediated by PPARa-ACOX1 axis in persister cells d Peroxisomal FAO inhibition delays the emergence of resistance to targeted therapy
Cancer persister cells tolerate anticancer drugs and serve as the founders of acquired resistance and cancer relapse. Here we show that a subpopulation of BRAFV600 mutant melanoma cells that tolerates exposure to BRAF and MEK inhibitors undergoes a reversible remodelling of mRNA translation that evolves in parallel with drug sensitivity. Although this process is associated with a global reduction in protein synthesis, a subset of mRNAs undergoes an increased efficiency in translation. Inhibiting the eIF4A RNA helicase, a component of the eIF4F translation initiation complex, abrogates this selectively increased translation and is lethal to persister cells. Translation remodelling in persister cells coincides with an increased N6-methyladenosine modification in the 5′-untranslated region of some highly translated mRNAs. Combination of eIF4A inhibitor with BRAF and MEK inhibitors effectively inhibits the emergence of persister cells and may represent a new therapeutic strategy to prevent acquired drug resistance.
Background Retrospective analyses suggest that patients with advanced KIT exon 9-mutated gastrointestinal stromal tumors (GISTs) receiving imatinib 800 mg (rather than 400 mg) daily have better outcomes. In the adjuvant setting, the question of the optimal dose of imatinib remains unsettled. Objective We aimed to retrospectively assess the activity of imatinib 400 mg in both the adjuvant and the advanced settings. Patients and methods We performed a multicenter study of patients with KIT exon 9-mutated GIST starting imatinib at 400 mg daily. We examined the relapse-free survival (RFS) among high-risk patients either receiving or not receiving adjuvant imatinib. In patients with advanced disease, progression-free survival (PFS, progression under imatinib 400 mg), time to imatinib failure (TIF, progression under imatinib 400, then 800 mg upon first progression), and overall survival (OS) were analyzed. Results In the post-operative setting (n = 37), 20 patients received adjuvant imatinib. Median RFS in high-risk patients receiving adjuvant imatinib (n = 14) was not reached (95% CI 17.5-46.6) versus 13.6 months (95% CI 4.7-13.6) for those who did not (p = 0.37), after a median follow-up of 58 months. RFS at 36 months was 63% (30.3-96.6) versus 40% (95% CI 0-82.9), p = 0.2. In advanced disease (n = 28), median PFS, TIF and OS were 12.7 months (95% CI 6.1-18.2), 21.0 months (95% CI 17.4-28.1) and 47.0 months (95% CI 33.5-69.2), respectively. Conclusions Despite the limitations of a retrospective analysis and the small number of patients, the benefit of adjuvant imatinib 400 mg daily in high-risk patients appeared relevant. Patients with advanced disease receiving imatinib 400 mg with subsequent dose escalation had a TIF similar to that observed with an initial dose of 800 mg. Intra-patient dose escalation in this setting might be an option.
Purpose:
Less than 50% of patients with melanoma respond to anti–programmed cell death protein 1 (anti–PD-1), and this treatment can induce severe toxicity. Predictive markers are thus needed to improve the benefit/risk ratio of immune checkpoint inhibitors (ICI). Baseline tumor parameters such as programmed death ligand 1 (PD-L1) expression, CD8+ T-cell infiltration, mutational burden, and various transcriptomic signatures are associated with response to ICI, but their predictive values are not sufficient. Interaction between PD-1 and its main ligand, PD-L1, appears as a valuable target of anti–PD-1 therapy. Thus, instead of looking at PD-L1 expression only, we evaluated the predictive value of the proximity between PD-1 and its neighboring PD-L1 molecules in terms of response to anti–PD-1 therapy.
Experimental Design:
PD-1/PD-L1 proximity was assessed by proximity ligation assay (PLA) on 137 samples from two cohorts (exploratory n = 66 and validation n = 71) of samples from patients with melanoma treated with anti–PD-1±anti–CTLA-4. Additional predictive biomarkers, such as PD-L1 expression (MELscore), CD8+ cells density, and NanoString RNA signature, were also evaluated.
Results:
A PD-1/PD-L1 PLA model was developed to predict tumor response in an exploratory cohort and further evaluated in an independent validation cohort. This score showed higher predictive ability (AUC = 0.85 and 0.79 in the two cohorts, respectively) for PD-1/PD-L1 PLA as compared with other parameters (AUC = 0.71–0.77). Progression-free and overall survival were significantly longer in patients with high PLA values (P = 0.00019 and P < 0.0001, respectively).
Conclusions:
The proximity between PD-1 and PD-L1, easily assessed by this PLA on one formalin-fixed paraffin-embedded section, appears as a new biomarker of anti–PD-1 efficacy.
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