Identification of biological markers of sensitivity to high-clinical-risk-adapted therapy for patients with diffuse large B-cell lymphoma
| Autor: | Miguel A. Piris, Paloma de la Cueva, Mónica García-Cosío, Lidia Sanchez-Verde, Reyes Arranz, Dolores Caballero, Jesús M. Hernández, Ana I. Sáez, Antonio José Sáez, David Alvarez, Carlos Grande, Jose A. Rodriguez, Eulogio Conde |
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| Rok vydání: | 2009 |
| Předmět: |
Male
Oncology Cancer Research medicine.medical_specialty Pathology Aggressive lymphoma Kaplan-Meier Estimate T-Lymphocytes Regulatory Transplantation Autologous hemic and lymphatic diseases Internal medicine Antineoplastic Combined Chemotherapy Protocols Biomarkers Tumor medicine Humans Genetic Predisposition to Disease Oligonucleotide Array Sequence Analysis Tissue microarray business.industry Gene Expression Profiling FOXP3 Forkhead Transcription Factors Hematology Middle Aged Prognosis medicine.disease BCL6 Immunohistochemistry Lymphoma Gene Expression Regulation Neoplastic Gene expression profiling Transplantation Treatment Outcome Tissue Array Analysis Multivariate Analysis Female Lymphoma Large B-Cell Diffuse business Diffuse large B-cell lymphoma Stem Cell Transplantation |
| Zdroj: | Leukemia & Lymphoma. 50:571-581 |
| ISSN: | 1029-2403 1042-8194 |
| Popis: | The aim of the project was to identify biological variables in high-clinical-risk patients with diffuse large B-cell lymphoma (DLBCL), treated with risk-adapted therapies. The study was performed in a series of high-clinical-risk patients with DLBCL treated with MegaCHOP or MegaCHOP + IFE followed by autologous stem-cell transplantation (ASCT). An initial reduced set of diagnostic tumoral samples was studied by gene expression profiling and gene-set-enrichment analysis. A set of potential biomarkers extracted from this study was then explored in tissue microarrays containing paraffin-diagnostic tissue from 50 patients. The statistical analysis identified 17 immunohistochemical markers associated with the clinical endpoints. A subsequent multivariate analysis identified FoxP3+ T-reg cells as an independent predictor of failure-free survival. Bcl6 expression, CG/ABC subclasses and IPI were found not to predict survival in this series. The increased presence of regulatory T-cells as a marker of adverse outcome highlights specific components of the tumoral microenvironment in the pathogenesis and treatment response prediction for high-clinical-risk patients with DLBCL. |
| Databáze: | OpenAIRE |
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