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Find video protocols related to scientific articles indexed in Pubmed.
No evidence of cell cycle dysregulation in mantle cell lymphoma in vivo.
Leuk. Lymphoma
PUBLISHED: 10-16-2014
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Mantle cell lymphoma (MCL) is characterized by the translocation t(11;14)(q13;q32) leading to an overexpression of cyclin D1, a mediator of G1-S phase transition. Thus MCL is regarded as a paradigm of lymphoma with a dysregulated cell cycle. The proliferation rate of MCL is in fact a strong predictor of outcome. We analyzed proteins that are expressed at defined cell cycle phases, such as Ki67, survivin and phosphorylated histone H3 as well as cyclin D1, p53 and p27, on the cellular level by immunofluorescence double stainings in MCL biopsy specimens. Unexpectedly, we did not detect a shortening of early phases in MCL in vivo. Despite the control of the immunoglobulin enhancer, cyclin D1 was expressed in a cell cycle-dependent manner. However, the proliferating Ki67-positive tumor cells expressed low amounts of cyclin D1. Therefore, the expression of cyclin D1 appears not to be the driving factor behind the total proliferation rate of MCL.
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Expression of CD8 is associated with non-common type morphology and outcome in pediatric anaplastic lymphoma kinase-positive anaplastic large cell lymphoma.
Haematologica
PUBLISHED: 05-28-2013
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Anaplastic lymphoma kinase-positive anaplastic large T-cell lymphoma is characterized by morphological variability. Morphological variants (non-common subtype) are associated with a poor outcome. They display abundant reactive bystander cells admixed with the lymphoma cells. So far, the difficulty in distinguishing lymphoma cells from bystander cells by visual inspection has prevented detailed and reliable immunophenotypic analysis using conventional immunohistochemistry. To overcome these limitations, we analyzed 124 cases of pediatric anaplastic lymphoma kinase-positive anaplastic large cell lymphoma treated within clinical trials using immunofluorescence multi-staining and digital image analysis combining antibodies against anaplastic lymphoma kinase to specifically identify lymphoma cells with antibodies against CD30, CD3, CD5, CD8, Ki67 and phosphorylated STAT3. Non-common type anaplastic lymphoma kinase-positive anaplastic large cell lymphomas express CD8 more frequently than common type anaplastic lymphoma kinase-positive anaplastic large cell lymphomas (35.4% and 5.6%, respectively; P=0.0002). CD8 expression was associated with a poorer outcome. Importantly, in a multivariate analysis including clinical risk factors, histological subtype and CD8 expression, CD8-positivity proved to be an independent prognostic predictor of worse outcome (hazard ratio for survival 3.38, P=0.042).
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Massive transcriptional perturbation in subgroups of diffuse large B-cell lymphomas.
PLoS ONE
PUBLISHED: 01-01-2013
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Based on the assumption that molecular mechanisms involved in cancerogenesis are characterized by groups of coordinately expressed genes, we developed and validated a novel method for analyzing transcriptional data called Correlated Gene Set Analysis (CGSA). Using 50 extracted gene sets we identified three different profiles of tumors in a cohort of 364 Diffuse large B-cell (DLBCL) and related mature aggressive B-cell lymphomas other than Burkitt lymphoma. The first profile had high level of expression of genes related to proliferation whereas the second profile exhibited a stromal and immune response phenotype. These two profiles were characterized by a large scale gene activation affecting genes which were recently shown to be epigenetically regulated, and which were enriched in oxidative phosphorylation, energy metabolism and nucleoside biosynthesis. The third and novel profile showed only low global gene activation similar to that found in normal B cells but not cell lines. Our study indicates novel levels of complexity of DLBCL with low or high large scale gene activation related to metabolism and biosynthesis and, within the group of highly activated DLBCLs, differential behavior leading to either a proliferative or a stromal and immune response phenotype.
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What is Visualize?

JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.

How does it work?

We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.

Video X seems to be unrelated to Abstract Y...

In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.