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1.
J Immunother Cancer ; 10(1)2022 01.
Artículo en Inglés | MEDLINE | ID: mdl-35017151

RESUMEN

BACKGROUND: The powerful 'graft versus leukemia' effect thought partly responsible for the therapeutic effect of allogeneic hematopoietic cell transplantation in acute myeloid leukemia (AML) provides rationale for investigation of immune-based therapies in this high-risk blood cancer. There is considerable preclinical evidence for potential synergy between PD-1 immune checkpoint blockade and the hypomethylating agents already commonly used for this disease. METHODS: We report here the results of 17 H-0026 (PD-AML, NCT02996474), an investigator sponsored, single-institution, single-arm open-label 10-subject pilot study to test the feasibility of the first-in-human combination of pembrolizumab and decitabine in adult patients with refractory or relapsed AML (R-AML). RESULTS: In this cohort of previously treated patients, this novel combination of anti-PD-1 and hypomethylating therapy was feasible and associated with a best response of stable disease or better in 6 of 10 patients. Considerable immunological changes were identified using T cell receptor ß sequencing as well as single-cell immunophenotypic and RNA expression analyses on sorted CD3+ T cells in patients who developed immune-related adverse events (irAEs) during treatment. Clonal T cell expansions occurred at irAE onset; single-cell sequencing demonstrated that these expanded clones were predominately CD8+ effector memory T cells with high cell surface PD-1 expression and transcriptional profiles indicative of activation and cytotoxicity. In contrast, no such distinctive immune changes were detectable in those experiencing a measurable antileukemic response during treatment. CONCLUSION: Addition of pembrolizumab to 10-day decitabine therapy was clinically feasible in patients with R-AML, with immunological changes from PD-1 blockade observed in patients experiencing irAEs.


Asunto(s)
Anticuerpos Monoclonales Humanizados/uso terapéutico , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapéutico , Decitabina/uso terapéutico , Inmunoterapia/métodos , Leucemia Mieloide Aguda/tratamiento farmacológico , Anticuerpos Monoclonales Humanizados/farmacología , Protocolos de Quimioterapia Combinada Antineoplásica/farmacología , Estudios de Cohortes , Decitabina/farmacología , Femenino , Humanos , Masculino , Proyectos Piloto , Recurrencia
2.
Science ; 321(5897): 1807-12, 2008 Sep 26.
Artículo en Inglés | MEDLINE | ID: mdl-18772396

RESUMEN

Glioblastoma multiforme (GBM) is the most common and lethal type of brain cancer. To identify the genetic alterations in GBMs, we sequenced 20,661 protein coding genes, determined the presence of amplifications and deletions using high-density oligonucleotide arrays, and performed gene expression analyses using next-generation sequencing technologies in 22 human tumor samples. This comprehensive analysis led to the discovery of a variety of genes that were not known to be altered in GBMs. Most notably, we found recurrent mutations in the active site of isocitrate dehydrogenase 1 (IDH1) in 12% of GBM patients. Mutations in IDH1 occurred in a large fraction of young patients and in most patients with secondary GBMs and were associated with an increase in overall survival. These studies demonstrate the value of unbiased genomic analyses in the characterization of human brain cancer and identify a potentially useful genetic alteration for the classification and targeted therapy of GBMs.


Asunto(s)
Neoplasias Encefálicas/genética , Glioblastoma/genética , Isocitrato Deshidrogenasa/genética , Mutación , Adulto , Neoplasias Encefálicas/mortalidad , Femenino , Amplificación de Genes , Dosificación de Gen , Perfilación de la Expresión Génica , Regulación Neoplásica de la Expresión Génica , Genoma Humano , Glioblastoma/mortalidad , Humanos , Isocitrato Deshidrogenasa/química , Masculino , Persona de Mediana Edad , Mutación Missense , Análisis de Secuencia por Matrices de Oligonucleótidos , Polimorfismo de Nucleótido Simple , Análisis de Secuencia de ADN , Transducción de Señal , Tasa de Supervivencia
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