2014
DOI: 10.1182/blood-2013-05-504308
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PLCG1 mutations in cutaneous T-cell lymphomas

Abstract: Key Points• Activating mutations in PLCG1 are a frequent finding in tumoral CTCL samples. This raises the possibility of targeted therapies against PLCG1 signaling pathway, using calcineurin inhibitors.Cutaneous T-cell lymphoma (CTCL) is a heterogeneous group of primary cutaneous T-cell lymphoproliferative processes, mainly composed of mycosis fungoides and Sézary syndrome, the aggressive forms of which lack an effective treatment. The molecular pathogenesis of CTCL is largely unknown, although neoplastic cell… Show more

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Cited by 196 publications
(209 citation statements)
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“…1 As part of our findings we detected a number of mutations potentially affecting JAK/STAT signaling. These findings were recently confirmed by an independent group, suggesting that mutations in this pathway may contribute as disease mechanisms in CTCL.…”
mentioning
confidence: 87%
“…1 As part of our findings we detected a number of mutations potentially affecting JAK/STAT signaling. These findings were recently confirmed by an independent group, suggesting that mutations in this pathway may contribute as disease mechanisms in CTCL.…”
mentioning
confidence: 87%
“…Thus, point mutations in the human PLCG1 gene have been linked to secondary, radiation-associated angiosarcoma [13] and to cutaneous T cell lymphoma [14]. Two mouse models of autoimmunity and autoinflammation, designated Ali5 and Ali14, have been described, which are caused by gain-of-function point mutations of PLC 2 , D 993 G and Y…”
mentioning
confidence: 99%
“…Our software implements pipelines for the analysis of SNVssingle nucleotide, indels, copynumber variation, bisulfite-seq and ChIP-seq experiments using well-established tools to perform these common tasks. The results obtained by RUbioSeq+ have already been validated and published (25,26). Moreover, RUbioSeq+ comes with a new and accessible GUI enabling researchers without advanced bioinformatics skills to straightforwardly manage complex NGS workflows.…”
Section: Resultsmentioning
confidence: 90%