Elucidating pathogenesis and improving clinical management of benign cutaneous inflammation in urticaria and malignant inflammation in cutaneous T-cell lymphomas
Notice bibliographique
Résumé
Introduction: Chronic urticaria (CU) is defined when hives occur for at least 6 weeks. When no identifiable cause can be found, it is classified as chronic spontaneous urticaria (CSU). Approximately 50% of patients are now considered to have an autoimmune etiology which can be established in vivo with the use of the autologous serum skin test (ASST) or in vitro with the Basophil Activation Test (BAT) measuring CD63 expression. Because of its chronicity, CU in children results in substantial impairment of health-related quality of life (QoL). While urticaria represents benign inflammation, Cutaneous T-Cell Lymphomas (CTCL) represents malignant inflammation that is driven by neoplastic CD4+ T cells in the skin. About 20% of patients with early stage will progress and succumb to their disease. Currently, it is not possible to predict which patients will progress. It is also challenging to diagnose CTCL as it mimics benign inflammatory dermatoses. It may be possible to identify a set of molecular markers that may be used to help prognosticate and diagnose this disease. Methods: We have created a cohort of 139 children affected by CSU. All patients were followed for 2 years. We have studied the utility of BAT to help diagnose and monitor response to treatment, evaluated the natural history and assessed for predictors of disease resolution using established validated tools including the weekly urticaria activity score (UAS7) and the Chronic Urticaria quality of life questionnaire (CU-Q2oL). For CTCL research we used the RT-PCR and tested gene expression in 60 CTCL skin biopsy samples and in 11 patient-derived cell lines to discover diagnostic and prognostic markers and to gain additional insight in the molecular etiology of CTCL. We also tested the expression of Embryonic Stem Cell (ESC) genes in this cancer. Results: Based on the log-normal distribution of CD63 values in control subjects, the reference range and the cut-off for positive CD63 BAT values was established to be 1.2% to 1.8% (95%CI) and 1.8%, respectively. Children with CSU showed significantly elevated and significantly more increased BAT values as compared to healthy controls (Wilcoxon rank test p-value <0.001). In contrast, no difference was found between BAT results in controls and PU patients. Higher disease activity and treatment resistance were associated with higher BAT values. Using the BAT we documented that 57% of children in our cohort had autoimmune CSU. The rate of disease resolution was 10.3% per year. Positive BAT and basopenia were statistically associated with earlier disease resolution. CU-Q2oL at time of recruitment suggested that itch, sleep impairment and physical appearance were the most important factors affecting QoL. The mean UAS7 at first follow up was 8.23 and reduced to 3.62 on next follow up suggesting an overall good control of symptoms with current management strategies.Our research findings on CTCL demonstrated that 17 genes (CCL18, CCL26, FYB, T3JAM, MMP12, LEF1, LCK, ITK, GNLY, IL2RA, IL26, IL22, CCR4, GTSF1, SYCP1, STAT5A, and TOX) are able to both identify patients who are at risk of progression and also distinguish CTCL from benign mimickers. Our findings for the first time demonstrated that many critical ESC genes are expressed in CTCL. Select ESC genes (OCT4, EED, TCF3, THAP11, CHD7, TIP60, TRIM28) were preferentially expressed in CTCL samples when compared to benign skin biopsies. Conclusions: Relative frequency of autoimmune urticaria in children is similar to adults and if proven in the future, may be a good prognostic factor predicting earlier disease resolution. BAT may serve as an effective laboratory tool to help diagnose autoimmune CSU and monitor response to treatment in moderate/severe cases.Our gene expression findings in CTCL, combined with other gene expression analyses, prepare the foundation for the development of personalized molecular approach toward diagnosis and prognostication of this cancer.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».