Proteomic analysis identifies galectin-1 as a predictive biomarker for relapsed/refractory disease in classical Hodgkin lymphoma

Considerable effort has been spent identifying prognostic biomarkers in classic Hodgkin lymphoma (cHL). The aim of our study was to search for possible prognostic parameters in advanced-stage cHL using a proteomics-based strategy. A total of 14 cHL pretreatment tissue samples from younger, advanced-...

Descripción completa

Detalles Bibliográficos
Autores: Kamper, Peter, Lugvigsen, Maja, Bendix, Knud, Hamilton Dutoit, Stephen, Rabinovich, Gabriel Adrian, Boe Møller, Michael, Nyengaard, Jens, Honoré, Bent, d'Amore, Franceso
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2011
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/10664
Acceso en línea:http://hdl.handle.net/11336/10664
Access Level:acceso abierto
Palabra clave:Hodgkin Lymphoma
Biomarker
Galectin-1
Proteomics
https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
Descripción
Sumario:Considerable effort has been spent identifying prognostic biomarkers in classic Hodgkin lymphoma (cHL). The aim of our study was to search for possible prognostic parameters in advanced-stage cHL using a proteomics-based strategy. A total of 14 cHL pretreatment tissue samples from younger, advanced-stage patients were included. Patients were grouped according to treatment response. Proteins that were differentially expressed between the groups were analyzed using 2D-PAGE and identified by liquid chromatography mass spectrometry. Selected proteins were validated using Western blot analysis. One of the differentially expressed proteins, the carbohydrate-binding protein galectin-1 (Gal-1), was further analyzed using immunohistochemistry HC and its expression was correlated with clinicopathologic and outcome parameters in 143 advanced-stage cHL cases. At the univariate level, high Gal-1 expression in the tumor microenvironment was correlated with poor event-free survival (P = .02). Among younger (≤ 61 years) patients, high Gal-1 was correlated with poorer overall and event-free survival (both P = .007). In this patient group and at the multivariate level, high Gal-1 expression retained a significant predictive impact on event-free survival. Therefore, in addition to its functional role in cHL-induced immunosuppression, Gal-1 is also associated with an adverse clinical outcome in this disease.