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Enregistrement W2153105560 · doi:10.1182/blood.v124.21.2090.2090

Mir-29a Displays in Vitro and in Vivo Anti-Tumor Activity in Multiple Myeloma

2014· article· en· W2153105560 sur OpenAlex
Manujendra N. Saha, Yan Chen, Jahangir Abdi, Hong Chang

Pourquoi ce travail est dans la base

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Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueCancer Mechanisms and Therapy
Établissements canadiensUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésmicroRNATransfectionCancer researchViability assayBiologyCell cultureMultiple myelomaIn vivoPathogenesisImmunologyGeneGenetics

Résumé

récupéré en direct d'OpenAlex

Abstract Despite advances in recent therapeutic approaches including targeted therapies, multiple myeloma (MM) remains still incurable necessitating the development of novel treatment strategies. MicroRNAs (miRNAs) are small non-coding RNA molecules that regulate post-transcriptional gene expression and play a critical role in tumor pathogenesis. Tumor suppressor miRNAs are generally down-regulated in cancer cells compared to their normal counterpart, and their enforced expression indeed represents a promising strategy for cancer treatment. In this study, we sought to characterize the role of miR-29a as a tumor suppressor as well as evaluated its therapeutic potential in MM. miR-29a expression levels were found down-regulated in a panel of 5 MM cell lines, 6 newly diagnosed MM patient samples compared to its expression in normal hematopoietic cells collected from 10 normal healthy individuals suggesting that high expression of miR-29a might be involved in MM pathogenesis. We further assessed the functional significance of miR-29a by both gain- and loss-of-function studies. A significant decrease in cell viability (22-32%, p<0.05), along with induction of apoptosis (30-35%, p<0.05) was observed at 48 hrs in MM cell lines, MM.1S and 8226 transfected with miR-29a compared to cells transfected with scrambled miRNA. In contrast, cell lines transfected with miR-29a antagonist prevented the loss of viability in such cells indicating the specificity of miR-29a. At the molecular level, we have identified c-Myc, an important oncogenic transcription factor known to stimulate MM cell proliferation, as a target of miR-29a. Binding site of miR-29a was first identified by computer algorithm and further confirmed by the use of a 3’UTR of c-Myc reporter (luciferase renilla/firefly) constructs containing, miR-29a target site. Moreover, treatment with PRIMA-Met, a small molecule anti-tumor agent in phase I/II clinical trials, significantly increased the expression of miR-29a (2 to 6-fold) and decreased expression of c-Myc in MM cell lines and primay MM patient samples suggesting an important role of miR-29a in inhibiting proliferation of MM cells. On the other hand, overexpression of c-Myc in 8226 and MM.1S cells at least partially reverted the functional effect of miR-29a or PRIMA-1Metsuggesting a specific role of c-Myc in mediating its anti-proliferative activity. To examine therapeutic potential of our studies, we took advantage of novel lipid based delivery method of miRNA. Intratumor delivery of the miR-29a by intraperitoneal injection route against MM xenografts in SCID mice resulted in a significant inhibition of tumor growth (~60%) at 12 days of treatment and prolongation of survival (median survival increased from 22 days to 35 days, p<0.038) compared to the mice receiving scrambled miRNA. Retrieved tumors from treated mice showed efficient increase in miR-29a (5.5-fold, p=0.025), and decrease in c-Myc protein as well as reduced expression of Ki67 and increase of Tunel expression. Similar phenomenon was observed by systematic delivery of miR-29a (by intraveneous injection) in mice with no significant side effects or toxicity in mice. Our study reveals an important role of miR-29a as a tumor suppressor in mediating anti-tumor activities in MM cells by targeting c-Myc. Our findings provide a proof-of-principle that formulated synthetic miR-29a exerts therapeutic activity in preclinical models, and support a framework for development of miR-29a based treatment strategies in MM patients. Disclosures No relevant conflicts of interest to declare.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,362
Score d'incertitude au seuil0,391

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,239
Écart entre enseignants0,229 · 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