Journal Of Clinical Oncology - 1527-7755

Congreso

Autoría

Mahmoud, Yamil Damián ; Veigas, Florencia ; MERLO, JOAQUÍN PEDRO ; BALZARINI, MONICA GRACIELA ; Rocha, Darío Gastón ; RABINOVICH, GABRIEL ADRIAN ; FERNANDEZ, ELMER ANDRES ; Girotti, Maria Romina

Fecha

2020

Editorial y Lugar de Edición

Journal of Clinical Oncology

ISSN

1527-7755

Resumen Información suministrada por el agente en SIGEVA

Immunotherapies have revolutionized cancer treatment, but responses are not universal and patients who initially respond to therapy develop resistance. The accurate quantification of tumor-infiltrating immune cells holds the promise to reveal the role of the immune system in human cancers and its involvement in tumor escape mechanisms and response to therapy. We present MIXTURE, a new algorithm for tumor immune cell-type proportions deconvolution from transcriptomic data that overcomes competit... Immunotherapies have revolutionized cancer treatment, but responses are not universal and patients who initially respond to therapy develop resistance. The accurate quantification of tumor-infiltrating immune cells holds the promise to reveal the role of the immune system in human cancers and its involvement in tumor escape mechanisms and response to therapy. We present MIXTURE, a new algorithm for tumor immune cell-type proportions deconvolution from transcriptomic data that overcomes competitive methods and revealed novel associations of immune cell types with patient survival and immunotherapy response.

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Palabras Clave

CANCERIMMUNOTHERAPYPREDICTIONIMMUNE SYSTEM

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http://hdl.handle.net/11336/257975