IFN-γ signature enables selection of neoadjuvant treatment in patients with stage III melanoma.
Irene L M ReijersDisha RaoJudith M VersluisAlexander M MenziesPetros DimitriadisMichel W J M WoutersAndrew J SpillaneWillem M C KlopAnnegien BroeksLinda J W BoschMarta Lopez-YurdaWinan J van HoudtRobert V RawsonLindsay G Grijpink-OngeringMaria GonzalezSten CornelissenJasper BouwmanJoyce SandersElsemieke I PlasmeijerYannick S ElshotRichard A ScolyerBart A van de WielDaniel S PeeperAlexander C J van AkkooiGeorgina V LongChristian U BlankPublished in: The Journal of experimental medicine (2023)
Neoadjuvant ipilimumab + nivolumab has demonstrated high pathologic response rates in stage III melanoma. Patients with low intra-tumoral interferon-γ (IFN-γ) signatures are less likely to benefit. We show that domatinostat (a class I histone deacetylase inhibitor) addition to anti-PD-1 + anti-CTLA-4 increased the IFN-γ response and reduced tumor growth in our murine melanoma model, rationalizing evaluation in patients. To stratify patients into IFN-γ high and low cohorts, we developed a baseline IFN-γ signature expression algorithm, which was prospectively tested in the DONIMI trial. Patients with stage III melanoma and high intra-tumoral IFN-γ scores were randomized to neoadjuvant nivolumab or nivolumab + domatinostat, while patients with low IFN-γ scores received nivolumab + domatinostat or ipilimumab + nivolumab + domatinostat. Domatinostat addition to neoadjuvant nivolumab ± ipilimumab did not delay surgery but induced unexpected severe skin toxicity, hampering domatinostat dose escalation. At studied dose levels, domatinostat addition did not increase treatment efficacy. The baseline IFN-γ score adequately differentiated patients who were likely to benefit from nivolumab alone versus patients who require other therapies.
Keyphrases
- dendritic cells
- immune response
- rectal cancer
- end stage renal disease
- locally advanced
- lymph node
- chronic kidney disease
- newly diagnosed
- ejection fraction
- prognostic factors
- peritoneal dialysis
- machine learning
- gene expression
- oxidative stress
- minimally invasive
- deep learning
- dna methylation
- double blind
- skin cancer
- patient reported outcomes
- diabetic rats
- basal cell carcinoma
- replacement therapy