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1.
Proc Natl Acad Sci U S A ; 112(2): E166-75, 2015 Jan 13.
Artículo en Inglés | MEDLINE | ID: mdl-25548167

RESUMEN

The breakthrough development of clinically effective immune checkpoint inhibitors illustrates the potential of T-cell-based immunotherapy to effectively treat malignancies. A remaining challenge is to increase and guide the specificities of anticancer immune responses, e.g., by therapeutic vaccination or by adoptive T-cell transfer. By analyzing the landscape of naturally presented HLA class I and II ligands of primary chronic lymphocytic leukemia (CLL), we delineated a novel category of tumor-associated T-cell antigens based on their exclusive and frequent representation in the HLA ligandome of leukemic cells. These antigens were validated across different stages and mutational subtypes of CLL and found to be robustly represented in HLA ligandomes of patients undergoing standard chemo-/immunotherapy. We demonstrate specific immune recognition of these antigens exclusively in CLL patients, with the frequencies of representation in CLL ligandomes correlating with the frequencies of immune recognition by patient T cells. Moreover, retrospective survival analysis revealed survival benefits for patients displaying immune responses to these antigens. These results directly imply these nonmutant self-peptides as pathophysiologically relevant tumor antigens and encourages their implementation for cancer immunotherapy.


Asunto(s)
Antígenos HLA/metabolismo , Inmunoterapia/métodos , Leucemia Linfocítica Crónica de Células B/inmunología , Leucemia Linfocítica Crónica de Células B/terapia , Anciano , Anciano de 80 o más Años , Secuencia de Aminoácidos , Presentación de Antígeno , Antígenos de Diferenciación de Linfocitos T/inmunología , Antígenos de Neoplasias/inmunología , Linfocitos T CD4-Positivos/inmunología , Vacunas contra el Cáncer/genética , Vacunas contra el Cáncer/inmunología , Femenino , Humanos , Inmunidad Innata , Ligandos , Masculino , Persona de Mediana Edad , Datos de Secuencia Molecular , Vacunas de Subunidad/genética , Vacunas de Subunidad/inmunología
2.
Cancer Immunol Immunother ; 58(9): 1407-17, 2009 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-19184600

RESUMEN

In recent years, several approaches have been taken in the peptide-based immunotherapy of metastatic renal cell carcinoma (RCC), although little is known about HLA presentation on metastases compared to primary tumor and normal tissue of RCC. In this study we compared primary tumor, normal tissue and metastases with the aim of identifying similarities and differences between these tissues. We performed this comparison for two RCC patients on the level of the HLA ligandome using mass spectrometry and for three patients on the level of the transcriptome using oligonucleotide microarrays. The quantitative results show that primary tumor is more similar to metastasis than to normal tissue, both on the level of HLA ligand presentation and mRNA. We were able to characterize a total of 142 peptides in the qualitative analysis of HLA-presented peptides. Six of them were significantly overpresented on metastasis, among them a peptide derived from CD151; fourteen were overpresented on both primary tumor and metastasis compared to normal tissue, among them an HLA ligand derived from tumor protein p53. Thus, we could demonstrate that peptide-based immunotherapy might affect tumor as well as metastasis of RCC, but not healthy kidney tissue. Furthermore we were able to identify several peptides derived from tumor-associated antigens that are suitable for vaccination of metastatic RCC.


Asunto(s)
Carcinoma de Células Renales/genética , Carcinoma de Células Renales/metabolismo , Perfilación de la Expresión Génica , Antígenos HLA/genética , Antígenos HLA/metabolismo , Neoplasias Renales/genética , Neoplasias Renales/metabolismo , Biomarcadores de Tumor/genética , Biomarcadores de Tumor/metabolismo , Carcinoma de Células Renales/secundario , Humanos , Riñón/metabolismo , Riñón/patología , Neoplasias Renales/patología , Ligandos , Espectrometría de Masas , Análisis de Secuencia por Matrices de Oligonucleótidos , Fragmentos de Péptidos
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