PubMed Health⌕ Search

Biomedical subjects

Stephen Hamilton Dutoit

Publications and source records attributed to Stephen Hamilton Dutoit.

2 recordsLinked to original sources

The oncoprotein LMO2 is expressed in normal germinal-center B cells and in human B-cell lymphomas.

We previously developed a multivariate model based on the RNA expression of 6 genes (LMO2, BCL6, FN1, CCND2, SCYA3, and BCL2) that predicts survival in diffuse large B-cell lymphoma (DLBCL) patients. Since LMO2 emerged as the strongest predictor of superior outcome, we generated a monoclonal anti-LMO2 antibody in order to study its tissue expression pattern. Immunohistologic analysis of over 1200 normal and neoplastic tissue and cell lines showed that LMO2 protein is expressed as a nuclear marker in normal germinal-center (GC) B cells and GC-derived B-cell lines and in a subset of GC-derived B-cell lymphomas. LMO2 was also expressed in erythroid and myeloid precursors and in megakaryocytes and also in lymphoblastic and acute myeloid leukemias. It was rarely expressed in mature T, natural killer (NK), and plasma cell neoplasms and was absent from nonhematolymphoid tissues except for endothelial cells. Hierarchical cluster analysis of immunohistologic data in DLBCL demonstrated that the expression profile of the LMO2 protein was similar to that of other GC-associated proteins (HGAL, BCL6, and CD10) but different from that of non-GC proteins (MUM1/IRF4 and BCL2). Our results warrant inclusion of LMO2 in multivariate analyses to construct a clinically applicable immunohistologic algorithm for predicting survival in patients with DLBCL.

Adaptor Proteins, Signal Transducing↗

[Solid tumors. Classification based on molecular biology, prognosis and therapy].

The introduction of molecular techniques into the routine diagnostic analysis of solid tumours has been slower than for hematological neoplasias, both because the former in general genetically are more heterogeneous and because their tumour cells are less accessible. This review presents examples of methods which can be used in the identification of risk groups, classification and prognosis of tumours, detection of minimal residual disease, choice of therapeutic strategy and tracing of possible hereditary cases. It is concluded that molecular laboratories should be established in connection with departments of pathology at the larger hospitals and that further development should take place through close collaboration between pathologists, molecular biologists, and clinicians.

Genetic Predisposition to Disease↗