Presentation Title

Identifying Novel Molecular Signatures in T-cell Leukemias/Lymphomas

Advisor Information

Christine Cutucache

Location

Dr. C.C. and Mabel L. Criss Library

Presentation Type

Poster

Start Date

4-3-2016 12:45 PM

End Date

4-3-2016 2:15 PM

Abstract

T-cell neoplasms are rare, difficult to diagnose and are characterized by poor clinical outcome, aggressive presentation, and poorly defined molecular characteristics. Several studies have been conducted that aim to discover distinguishing features among malignant subtypes. Our study aims to discover unifying characteristics that link these malignancies. The discovery of unified malignant markers would aide in a more prompt diagnosis and improved prognosis. In this study, publically available datasets were mined from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO). Gene expression data from five different mature T-cell lymphoma subtypes (n=187) and healthy T-cells (n=52) were used. These data constructed a shared T-cell compartment gene expression signatures across mature T-cell lymphomas. Caveolin-1, a gene with previous description in the progression of both solid and hematological tumors, was found to be upregulated across all mature T-cell lymphoma subtypes. T-cell lymphomas were divided into CAV1-High and CAV1-Low subgroups. Immunohistochemical staining, used for the diagnosis of abnormal cells, was used to confirm our findings using three malignancies as well as healthy tissue. The identification of these unifying malignant features may lead to a better understanding of these lymphomas and new treatments to combat them.

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COinS
 
Mar 4th, 12:45 PM Mar 4th, 2:15 PM

Identifying Novel Molecular Signatures in T-cell Leukemias/Lymphomas

Dr. C.C. and Mabel L. Criss Library

T-cell neoplasms are rare, difficult to diagnose and are characterized by poor clinical outcome, aggressive presentation, and poorly defined molecular characteristics. Several studies have been conducted that aim to discover distinguishing features among malignant subtypes. Our study aims to discover unifying characteristics that link these malignancies. The discovery of unified malignant markers would aide in a more prompt diagnosis and improved prognosis. In this study, publically available datasets were mined from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO). Gene expression data from five different mature T-cell lymphoma subtypes (n=187) and healthy T-cells (n=52) were used. These data constructed a shared T-cell compartment gene expression signatures across mature T-cell lymphomas. Caveolin-1, a gene with previous description in the progression of both solid and hematological tumors, was found to be upregulated across all mature T-cell lymphoma subtypes. T-cell lymphomas were divided into CAV1-High and CAV1-Low subgroups. Immunohistochemical staining, used for the diagnosis of abnormal cells, was used to confirm our findings using three malignancies as well as healthy tissue. The identification of these unifying malignant features may lead to a better understanding of these lymphomas and new treatments to combat them.