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Ramón Bosch

Publications and source records attributed to Ramón Bosch.

6 recordsLinked to original sources
PubMed2006

Immunohistochemical patterns of reactive microenvironment are associated with clinicobiologic behavior in follicular lymphoma patients.

PURPOSE: Recent molecular data have suggested that non-neoplastic cells are powerful modulators that may confer a selective advantage or disadvantage on the outcome of follicular lymphoma (FL) patients. PATIENTS AND METHODS: The prevalence of the principal inflammatory and immune-infiltrated cells was measured immunohistochemically in the tissue of 211 FL patients, and associations were sought with their traditional clinicobiologic characteristics. RESULTS: Our results confirmed the presence of a large number of T lymphocytes (CD4+ and CD8+) and CD57+ cells and, at a moderate level, the presence of TIA-1+ cytotoxic cells, CD68+ macrophages, CD123+ plasmacytoid cells, and FOXP3+ regulatory T cells among the pool of non-neoplastic cells. In addition to the conventional clinical variables, univariate analysis identified a low level of infiltrated CD8+ T lymphocytes as a significantly negative prognostic factor of overall survival. The following significant differences in the abundance of cells of specific and nonspecific immunity were observed in relation to the clinicobiologic features of FL: (1) a reactive microenvironment mainly made up of T lymphocytes and macrophages was significantly associated with a favorable clinical behavior of FL patients; and (2) a reactive microenvironment infiltrated predominantly by CD57+ T cells was associated with a significantly higher frequency of adverse clinicobiologic manifestations such as "B" symptoms and bone marrow involvement. CONCLUSION: Our results demonstrate the existence of two specific patterns in the reactive microenvironment of FL, an immunosurveillance pattern (T lymphocytes and macrophages) and an immune-escape pattern (CD57+ T cells), that were directly associated with the clinicobiologic features of these patients.

Antineoplastic Combined Chemotherapy Protocols↗
PubMed2006

The presence of STAT1-positive tumor-associated macrophages and their relation to outcome in patients with follicular lymphoma.

BACKGROUND AND OBJECTIVES: The presence of tumor-associated macrophages (TAM) is a prognostic factor for survival in follicular lymphoma (FL). Overexpression and/or activation of the signal transducer and activator of transcription 1 (STAT1) in these TAM have also been observed. The aim of this study was to determine the extent to which macrophages are present in FL and to investigate the expression of STAT1 in these cells. DESIGN AND METHODS: We retrospectively analyzed 211 patients with distinct stages and grades of FL. Expression of the CD68 proteins, chosen as a marker for macrophages, and STAT1 was quantified by immunohistochemistry and double immunofluorescence. RESULTS: Automated determinations revealed the presence of CD68-positive macrophages in all FL tissues studied (mean 57.6+/-45.1 cells/field), while STAT1 protein was expressed in 29.94% of cases. Double-fluorescence staining confirmed that STAT1 protein co-localized exclusively with CD68, indicating the presence of a subset of STAT1-expressing TAM localized principally in the vicinity of tumor cells. Multivariate analysis showed that, besides the Follicular Lymphoma International Prognostic Index (FLIPI) classification, expression of STAT1 was an important independent prognostic factor for shorter overall survival in FL. INTERPRETATION AND CONCLUSIONS: These results demonstrate the presence of STAT1-expressing TAM in FL and their association with an adverse outcome, thus emphasizing the relevance of non-tumor cells in the control of the growth and survival of lymphoma cells.

Aged↗
PubMed2005

Outcome in Hodgkin's lymphoma can be predicted from the presence of accompanying cytotoxic and regulatory T cells.

PURPOSE: Recent studies of Hodgkin's lymphoma (HL) have suggested that the presence of regulatory T cells in the reactive background may explain the inhibition of the antitumoral host immune response observed in these patients. This study aimed to assess the relevance of regulatory T cells and CTLs present in the background of HL samples in the prognosis of a series of classic HL (cHL) patients. EXPERIMENTAL DESIGN: Expression of granzyme B and TIA-1 (markers for CTL) and FOXP3 (a marker for regulatory T cells) were evaluated independently by immunohistochemistry in tissue microarrays of 257 cHL patients and correlated with patient outcome. RESULTS: The combined influence of the presence of FOXP3(+) and TIA-1(+) cells distinguished three risk groups of patients with 5-year overall survival of 100%, 88%, and 73%. The presence of a small number of FOXP3(+) cells and a high proportion of TIA-1(+) cells in the infiltrate represent an independent prognostic factor that negatively influenced event-free survival and disease-free survival in cHL. Compared with the features at diagnosis, relapsed samples tended to have more TIA-1(+) cells and a lower proportion of FOXP3(+) cells in the reactive background. CONCLUSIONS: These data suggest that low infiltration of FOXP3(+) cells in conjunction with high infiltration of TIA-1(+) cells in cHL may represent biological markers predicting an unfavorable outcome. Moreover, the variation of these markers over the course of the disease implies a possible role for them in the progression of HL cases.

Adolescent↗
PubMed2004

Building an outcome predictor model for diffuse large B-cell lymphoma.

Diffuse large B-cell lymphoma (DLBCL) patients are treated using relatively homogeneous protocols, irrespective of their biological and clinical variability. Here we have developed a protein-expression-based outcome predictor for DLBCL. Using tissue microarrays (TMAs), we have analyzed the expression of 52 selected molecules in a series of 152 DLBCLs. The study yielded relevant information concerning key biological aspects of this tumor, such as cell-cycle control and apoptosis. A biological predictor was built with a training group of 103 patients, and was validated with a blind set of 49 patients. The predictive model with 8 markers can identify the probability of failure for a given patient with 78% accuracy. After stratifying patients according to the predicted response under the logistic model, 92.3% patients below the 25 percentile were accurately predicted by this biological score as "failure-free" while 96.2% of those above the 75 percentile were correctly predicted as belonging to the "fatal or refractory disease" group. Combining this biological score and the International Prognostic Index (IPI) improves the capacity for predicting failure and survival. This predictor was then validated in the independent group. The protein-expression-based score complements the information obtained from the use of the IPI, allowing patients to be assigned to different risk categories.

Adolescent↗