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1.
Pathobiology ; 90(1): 31-43, 2023.
Article in English | MEDLINE | ID: mdl-35705026

ABSTRACT

INTRODUCTION: Inflammatory breast cancer (IBC) is an aggressive form of breast cancer with a poorly characterized immune microenvironment. METHODS: We used a five-colour multiplex immunofluorescence panel, including CD68, CD4, CD8, CD20, and FOXP3 for immune microenvironment profiling in 93 treatment-naïve IBC samples. RESULTS: Lower grade tumours were characterized by decreased CD4+ cells but increased accumulation of FOXP3+ cells. Increased CD20+ cells correlated with better response to neoadjuvant chemotherapy and increased CD4+ cells infiltration correlated with better overall survival. Pairwise analysis revealed that both ER+ and triple-negative breast cancer were characterized by co-infiltration of CD20 + cells with CD68+ and CD4+ cells, whereas co-infiltration of CD8+ and CD68+ cells was only observed in HER2+ IBC. Co-infiltration of CD20+, CD8+, CD4+, and FOXP3+ cells, and co-existence of CD68+ with FOXP3+ cells correlated with better therapeutic responses, while resistant tumours were characterized by co-accumulation of CD4+, CD8+, FOXP3+, and CD68+ cells and co-expression of CD68+ and CD20+ cells. In a Cox regression model, response to therapy was the most significant factor associated with improved patient survival. CONCLUSION: Those results reveal a complex unique pattern of distribution of immune cell subtypes in IBC and provide an important basis for detailed characterization of molecular pathways that govern the formation of IBC immune landscape and potential for immunotherapy.


Subject(s)
Breast Neoplasms , Inflammatory Breast Neoplasms , Triple Negative Breast Neoplasms , Humans , Female , Inflammatory Breast Neoplasms/metabolism , Inflammatory Breast Neoplasms/pathology , Breast Neoplasms/pathology , Lymphocytes, Tumor-Infiltrating , Fluorescent Antibody Technique , Forkhead Transcription Factors/genetics , Tumor Microenvironment
2.
Appl Immunohistochem Mol Morphol ; 25(8): 534-542, 2017 09.
Article in English | MEDLINE | ID: mdl-26862953

ABSTRACT

Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma in Egypt and worldwide. Gene expression profiling classifies DLBCL into: germinal center B cell-like (GCB) and non germinal center B cell-like (non-GCB) DLBCL. Hans' algorithm has high concordance with gene expression profiling results. Regulatory T cells (Tregs) represent important modulators for the interaction between lymphoma cells and host microenvironment. FOXP3 is a popular single marker for Tregs. There is little information about the possible role of Tregs in high-grade lymphoma such as DLBCL. This study aims to assess the prognostic impact of FOXP3+ Tregs in DLBCL. The study was carried out on 70 archival cases (61 de novo DLBCL and 9 reactive follicular hyperplasia cases). DLBCL cases were classified into GCB and non-GCB groups using Hans' algorithm. All studied cases are subjected to FOXP3 immunostaining. Density of FOXP3+ Tregs was higher in reactive cases compared with DLBCL (P=0.000). In DLBCL cases, FOXP3 expression was associated with free spleen (P=0.02), early stage (P=0.05), centroblastic variant (P=0.003), and absence of necrosis (P=0.05). In germinal cases, density of FOXP3 was significantly higher in cases with good PS (P=0.02), very good and good revised international prognostic index (P=0.002), and low-risk age-adjusted international prognostic index >60 (P=0.01). Non germinal DLBCL cases with negative FOXP3 were significantly associated with splenic involvement (P=0.005). DLBCL cases with high FOXP3 have longer survival (P=0.03). T cells in the background of DLBCL may play a role in modulation of tumor progression. Their presence is associated with favorable prognostic parameters in DLBCL.


Subject(s)
Forkhead Transcription Factors/immunology , Lymphoma, Large B-Cell, Diffuse/pathology , T-Lymphocytes, Regulatory/immunology , Adolescent , Adult , Aged , Aged, 80 and over , Child , Female , Humans , Lymphoma, Large B-Cell, Diffuse/immunology , Male , Middle Aged , Survival Analysis , Young Adult
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