ReviewThe British journal of dermatology2013
Lessons learned from gene expression profiling of cutaneous T-cell lymphoma.
Review in The British journal of dermatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- Pooled it
- Pooled it
- Article
- Multi-Omic Data Integration Suggests Putative Microbial Drivers of Aetiopathogenesis in Mycosis Fungoides.Cancers · 2024Article
- Role of IL-4 and IL-13 in Cutaneous T Cell Lymphoma.Life (Basel, Switzerland) · 2024Review
- Real-Life Barriers to Diagnosis of Early Mycosis Fungoides: An International Expert Panel Discussion.American journal of clinical dermatology · 2023Review
- Article
- Article
- Potent Anticancer Effects of Epidithiodiketopiperazine NT1721 in Cutaneous T Cell Lymphoma.Cancers · 2021Article
- Ruxolitinib with resminostat exert synergistic antitumor effects in Cutaneous T-cell Lymphoma.PloS one · 2021Article
- Molecular profiling of TOX-deficient neoplastic cells in cutaneous T cell lymphoma.Archives of dermatological research · 2020Article
- Recent advances in understanding and managing cutaneous T-cell lymphomas.F1000Research · 2020Review
- Novel cell adhesion/migration pathways are predictive markers of HDAC inhibitor resistance in cutaneous T cell lymphoma.EBioMedicine · 2019Article
- Dysregulation of the TOX-RUNX3 pathway in cutaneous T-cell lymphoma.Oncotarget · 2019Article
- The biomarker landscape in mycosis fungoides and Sézary syndrome.Experimental dermatology · 2017Review
- Chromatin Accessibility Landscape of Cutaneous T Cell Lymphoma and Dynamic Response to HDAC Inhibitors.Cancer cell · 2017Article
- Malignant inflammation in cutaneous T-cell lymphoma-a hostile takeover.Seminars in immunopathology · 2017Review
- Twist as a new prognostic marker in hematological malignancies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2016Review
- Versican upregulation in Sézary cells alters growth, motility and resistance to chemotherapy.Leukemia · 2015Article
- Jak3, STAT3, and STAT5 inhibit expression of miR-22, a novel tumor suppressor microRNA, in cutaneous T-Cell lymphoma.Oncotarget · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Gene expression studies of cutaneous T-cell lymphoma (CTCL) span a decade, yet the pathogenesis is poorly understood and diagnosis remains a challenge. This review examines the varied approaches to gene expression analysis of CTCL, with emphasis on cell populations, control selection and expression data collection. Despite discordant results, several dysregulated genes have been identified across multiple studies, including PLS3, KIR3DL2, TWIST1 and STAT4. Here, we provide an overview of the most consistently expressed genes across different studies and bring them together through common pathways biologically relevant to CTCL. Four pathways - evasion of activation-induced cell death, T helper 2 lymphocyte differentiation, transforming growth factor-β receptor expression, and tumour necrosis factor receptor ligands - appear to encompass the most frequently affected genes, hypothetically providing insight into the disease pathogenesis.
Indexed as
Identifiers
What 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.