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Enregistrement W2069294265 · doi:10.4161/cc.25550

Connecting the dots in cutaneous T cell lymphoma (CTCL): STAT5 regulates malignant T cell proliferation via miR-155

2013· letter· en· W2069294265 sur OpenAlex
Ivan V. Litvinov, Kevin Pehr, Denis Sasseville

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueCell Cycle · 2013
Typeletter
Langueen
DomaineMedicine
ThématiqueCutaneous lymphoproliferative disorders research
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésCutaneous T-cell lymphomaMycosis fungoidesImmunologyDiseaseLymphomaT cellCancerMedicinePsoriasisImmune systemCancer researchBiologyPathologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Cutaneous T-cell lymphomas (CTCLs) are a group of lymphoproliferative disorders affecting the skin. The etiology of CTCLs is unknown, and the pathogenesis remains elusive.1 Yet CTCL provides an interesting setting for studying the link between inflammation and cancer, since lymphocytic infiltrate is the hallmark of both. Early stages of CTCL mimic benign inflammatory disorders, including psoriasis and eczema, with malignant T cells homing to the skin. This disease usually remains indolent as isolated patches and plaques for many years, but in 10–20% of cases it can progress to form tumors and/or disseminate to lymph nodes, blood and visceral organs.1 Patients with advanced stages of CTCL often succumb to sepsis secondary to breakdown of the skin barrier function and immune suppression. Clinicians specializing in treating this cancer often face a number of important challenges. First, how to diagnose and distinguish early stages of CTCL from other benign inflammatory dermatoses? Second, how to predict which 10–20% of patients are likely to progress toward advanced stages, and, finally, how to achieve a cure of the disease with minimal toxicities? To answer these questions, better understanding of molecular CTCL carcinogenesis is urgently needed, where identified molecular players can be used as novel diagnostic/prognostic markers as well as targets for therapy. In the article by Kopp et al., the authors establish STAT5-mediated upregulation of mir-155 as an important step in CTCL carcinogenesis.2 Indeed, microRNA (miRNA) studies only recently became a prominent part of CTCL research. Specifically, Ralfkiaer et al. identified a set of miRNA classifiers that can be employed to distinguish early stages of CTCL from other benign inflammatory conditions.3 Still, unfortunately, functional data on miRNA remains sparse and has only begun to emerge in the last few years. miR-155 was recently highlighted as being upregulated in CTCL.3 This gene is a well-studied miRNA that is crucial for inflammation and is often overexpressed in various cancers. In their seminal article Kopp et al. discovered a link between miR-155 expression and JAK/STAT signaling in CTCL.2 They provide evidence that miR-155 is induced via transcription factor STAT5 through either cytokine (IL-2/IL-15)-dependent or constitutive activation in malignant and non-malignant T cells, including PBMCs and primary CTCL cells (Fig. 1). Furthermore, they found miR-155 to be involved in malignant proliferation. Their results are intriguing, because they connect some of the major hallmarks in CTCL: an increased expression of oncomiR-155, deregulation of JAK/STAT signaling pathways, and a persistent activation of STAT transcription factors.2,4 Figure 1. STAT5 signaling trans activates miR-155 expression, which can be blocked upstream at the level of JAK kinase signaling by tofacitinib inhibitor. While aberrant activation of multiple STAT proteins has been observed in various cancers, until recently, CTCL research has primarily focused on STAT3 as the major culprit in the effects of aberrant JAK/STAT signaling.5 Yet several studies have also implicated STAT5 as being aberrantly activated in malignant T cells. However, little was known about downstream targets and cellular consequences of STAT5 activation in CTCL. Now Kopp et al. document that this well-described oncomiR, miR-155, is a novel downstream target of STAT5 and is involved in malignant proliferation of T cells.2 Since miR-155 has also been implicated in genomic instability in cancer, it is possible that STAT5, via induction of miR-155, also drives genomic instability, a key feature of CTCL. As mentioned above, one of the major obstacles in managing CTCL is our inability to consistently achieve cure of this cancer. Due to its heterogeneity, there is no common genetic aberration or biomarker providing a reliable therapeutic target for patients. To achieve effective cure, CTCL therapy is in need of new targets and treatment strategies. Kopp et al. showed that treatment of malignant cells with JAK inhibitor tofacitinib (CP 690 550) strongly inhibits miR-155 expression and STAT5 activation. These results suggest a therapeutic potential of JAK inhibitors. Tofacitinib is already clinically approved for treatment of rheumatoid arthritis and is now being tested in clinical trials for psoriasis.6 It would be very interesting to evaluate the potential of tofacitinib in combination with already existing therapies for CTCL. In summary, these combined results hold great potential for diagnosis and treatment of CTCL.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,395
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,249
Écart entre enseignants0,237 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle