Methylation Status of SMURF2 and Correlation with Clinical Parameters in Patients with Multiple Myeloma
Notice bibliographique
Résumé
Abstract Background–Aim: Multiple myeloma (MM) is an incurable interleukin (IL)-6 dependent plasma-cell malignancy. It has been previously suggested that transforming growth factor-β (TGF-β) is the major inducer of IL-6 secretion by bone marrow stromal cells. The signaling responses to TGF-b are mediated by a heteromeric complex of two types of transmembrane serine threonine kinase receptors at the cell surface and their intracellular substrates, the Smad proteins. The Smurf2 gene (Smad ubiqitiniation regulatory factor 2) encodes a Smad-specific E3 ubiquitin ligase. Smurf2 targets Smad2 and Smad3 for proteasome-dependent degradation and enhances the inhibitory activity of Smad7. In addition to its role in regulating TGF-beta signalling, Smurf2 is up-regulated during replicative senescence in response to telomere shortening and induces senescence when ectopically expressed. Together these properties imply that Smurf2 may have tumour suppressor potential and may be involved in MM pathogenesis, but no studies exist regarding the smurf2 methylation status in human neoplasia. Here we have investigated for the first time the methylation status of Smurf2 in patients with MM. Patients and methods: Bone marrow samples from individuals with multiple myeloma (MM) were obtained at diagnosis and in some cases at disease progression. Genomic DNA was isolated and bisulphite modification was performed using commercially available kits (QIAmp DNA mini kit, Qiagen and EZ DNA methylation kit, Zymo Research respectively). The methylation-specific polymerase chain reaction (MSP) with primers for methylated and unmethylated alleles of the Smurf2 gene promoter was employed to study its methylation status. Control methylated (CpG Genome™ Universal Methylated, Chemicon International) and unmethylated genomic DNAs were included in each experiment. Ten bone marrow samples from individuals with borderline thrombocytopenia, that proved to have no haematological malignancy, served as negative controls. Survival curves were generated using the method of Kaplan-Meier and compared with the log-rank test. Logistic regression analysis was also used to measure the association between gene methylation and the development of advanced disease (DS3II), extramedullary disease, bone disease, anemia (Hb≤10 mg/dl), serum albumin and beta 2 microglobulin levels. Results: We analysed the methylation of SMURF2 in 45 cases of multiple myeloma (MM) (24 male, 21 female, mean age 66.4 years). Using the Durie and Salmon staging system MM patients’ disease stages were as follows: smoldering MM 7/45, IA 9/45, IIA 13/45 patients, IIIA 7/45 patients and IIIB 9/45 patients. No sample from the control population was found methylated. The SMURF2 gene promoter was found to be methylated in 11/45 MM patients (24%). Interesting trends were noted where patients with methylated Smurf2 promoter had an increased risk of death (HR = 1.3; p = 0.68), anemia (OR=2.1, p=0.2) and advanced stage (OR=1.3, p=0.6) and a reduced risk of extramedullary disease (OR 0.2, p=0.2). No association was found between Smurf2 methylation status and bone lytic lesions, serum albumin levels or beta-2 microglobulin levels. Conclusions: To the best of our knowledge, this is the first demonstration of Smurf2 methylation in human neoplasia. Also, interesting associations between Smurf2 methylation and some relevant clinical parameters in patients with MM were suggested by the data. These findings warrant further evaluation in a larger sample of patients in order to enhance our statistical power and better define the prognostic and clinical value of Smurf2 methylation in MM.
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.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».