ArticleInternational journal of clinical and experimental medicine2010
Tissue-microarray based immunohistochemical analysis of survival pathways in nodular sclerosing classical Hodgkin lymphoma as compared with Non-Hodgkin's lymphoma.
Article in International journal of clinical and experimental medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Not only a therapeutic target; mTOR in Hodgkin lymphoma and acute lymphoblastic leukemia.Frontiers in oncology · 2024Pooled it
- Full-Automatic High-Efficiency Mueller Matrix Microscopy Imaging for Tissue Microarray Inspection.Sensors (Basel, Switzerland) · 2024Article
- Phase 2 study of everolimus for relapsed or refractory classical Hodgkin lymphoma.Experimental hematology & oncology · 2018Article
- S1PR1 drives a feedforward signalling loop to regulate BATF3 and the transcriptional programme of Hodgkin lymphoma cells.Leukemia · 2018Article
- Dual PI3K/ERK inhibition induces necroptotic cell death of Hodgkin Lymphoma cells through IER3 downregulation.Scientific reports · 2016Article
- Toll-Like Receptor 1/2 and 5 Ligands Enhance the Expression of Cyclin D1 and D3 and Induce Proliferation in Mantle Cell Lymphoma.PloS one · 2016Article
- Automated prognostic pattern detection shows favourable diffuse pattern of FOXP3(+) Tregs in follicular lymphoma.British journal of cancer · 2015Article
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- T cell receptor-dependent activation of mTOR signaling in T cells is mediated by Carma1 and MALT1, but not Bcl10.Science signaling · 2014Article
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- Article
- The Role of mTOR Inhibitors for the Treatment of B-Cell Lymphomas.Advances in hematology · 2012Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neoplastic cells rely on key oncogenic pathways for their gain of proliferative and/or loss of apoptotic potential. Therapy targeted at specific points in these pathways has the potential to eliminate cancer cells by inducing differentiation or apoptosis. Concurrent immunophenotypic evaluation of survival pathways in nodular sclerosing classical Hodgkin lymphoma (cHL-NS) tissues has not previously been undertaken. We took the tissue microarray (TMA)-based approach to retrospectively evaluate the activation state of key oncogenic pathways by immunohisto-chemistry (IHC) in a series of 6 cases of cHL-NS (with predominantly syncitial areas). For comparison, 2 cases of diffuse large B-cell lymphoma (DLBCL), and 1 case of follicular hyperplasia (FH) were included in the study. Infiltration of T regulatory cells (Tregs) in the tumor microenvironment was assessed by expression of the Foxp3 transcription factor. Differential upregulation of the mitogen-activated protein kinase (MAPK)-extracellular signal related kinase (ERK), signal transducers and activators of transcription (STAT)3, and protein kinase c - alpha (PKC-alpha) pathways was seen among the cHL cases, whereas nuclear factor - kappa B (NF-kB) and phosphoinositide 3 kinase (PI3 K)-AKT-mammalian target of rapamycin (mTOR) pathways were equally activated in the neoplastic Reed-Sternberg cells of the 6 cHL-NS cases. Marked difference in the morphoproteomic profile was seen amongst the two cases of DLBCL. The amount of Foxp3+ T regulatory cells (Tregs) in the tumor microenvironment was highly variable ranging from 6/hpf to 120/hpf in cHL-NS, and 1/hpf to 82/hpf in DLBCL. In this pilot study, concurrent evaluation of oncogenic pathways in cHL-NS and DLBCL offers powerful insights in the putative therapeutic targets for an individualized approach to diagnosis and therapy.
Indexed as
Identifiers
20369041PMC2848307W2164265378What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.