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Enregistrement W2559408837 · doi:10.1182/blood.v114.22.2841.2841

Splicing Mutations in the Hyaluronan Synthase I Gene of Patients with Monoclonal Gammopathy of Undetermined Significance.

2009· article· en· W2559408837 sur OpenAlexaff
Hemalatha Kuppusamy, Amanda Warkentin, Andrew R. Belch, Linda M. Pilarski

Notice bibliographique

RevueBlood · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésRNA splicingIntronBiologyExonMutationMonoclonal gammopathy of undetermined significanceGeneticsMolecular biologyGeneMonoclonalMonoclonal antibodyRNAAntibody

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 2841 Poster Board II-817 Introduction: Monoclonal gammopathy of undetermined significance (MGUS) is the most common plasma cell disorder. A small proportion of MGUS transform to multiple myeloma (MM) or other B lineage malignancies. Hyaluronan synthase I (HAS1) is overexpressed in many human cancers, including MM. Here we show that intron 3, a region involved in aberrant splicing of HAS1, is heavily mutated in 34 patients with MGUS. Aberrant splicing of HAS1 correlated with poor outcome in a cohort of MM patients. HAS1 is GC-rich and as such is likely to be subject to mutation events. We recently reported a series of nearly 200 HAS1 mutations in 17 MM and Waldenstrom's macroglobulinemia (WM) patients, that were absent from healthy donors (Adamia et al, Blood, 2008, 112:5111). Forty-nine of these HAS1 mutations were recurrent, defined as being present in more than one patient. None of them were present in sequenced regions of HAS1 from a small series of MGUS patients. Mutated HAS1 DNA directs aberrant splicing of HAS1 and in vitro mutagenesis of HAS1 intron 3 alters HAS1 splicing patterns (see abstract by Kriangkum et al.), mimicking the aberrant splicing seen in MM patients. To sequence HAS1 from a larger cohort, we developed a streamlined sequencing strategy that allowed rapid sequencing of exon 3 and intron 3, regions of the HAS1 gene rich in mutations. Our objective was to identify HAS1 mutations in MGUS as compared to a larger cohort of MM and healthy donors. Many reports have shown familial clusters of MGUS and MM and of other B cell malignancies involving MGUS, supporting the idea that genetic factors, and possibly genetic predispositions, contribute to the development of disease. Patients and Methods: We sequenced HAS1 regions from 34 MGUS patients, 50 MM patients, and 45 healthy donors. In all cases, we sequenced an 850 bp region covering exon 3 and intron 3 of the HAS1 gene. For each patient, we sequenced eight HAS1 region subclones, in both directions. To predict impact of recurrent HAS1 mutations on the splicing process, we performed in silico analysis using online bioinformatic tools. Results: To date we have identified, 117 HAS1 mutations in HAS1 gene in MGUS patients including 5 frequently detected NCBI single nucleotide polymorphisms (SNPs). Although the same NCBI SNPs were also identified in healthy donors, increased homozygosity was detected in MGUS patients compared to healthy donors. Overall, among the novel HAS1 mutations, 32 (27%) were shared between MGUS and MM but absent in healthy donors, defining them as recurrent. Seven of the 32 mutations (23%) shared between MGUS and MM were recurrent in 2-3 individual MGUS patients; three of the recurrent MGUS mutations were missense mutations present in the coding region of exon 3, changing the protein sequence. Our initial bioinformatic analysis showed that the two of the shared recurrent mutations were found in the SR protein binding sites of the pre-mRNA and may contribute to aberrant splicing of the primary HAS1 transcript. We predict that our ongoing analysis HAS1 mutations in MGUS patients will identify a subpopulation(s) at high risk of aberrant splicing and thus at increased risk of transformation to overt MM. Conclusion: HAS1 appears to be hypermutated, perhaps due to its GC-rich nature. HAS1 mutations were identified in patients with a clinical diagnosis of MGUS (range of 1-14 mutations per MGUS). Thirty-two HAS1 mutations were recurrent in MGUS and MM but were absent from healthy donors. Some of these mutations are predicted to have functional significance for protein sequence and pre-mRNA splicing, possibly leading to increased risk for or predisposition to disease. Although genetic background and environmental context are likely to be important factors, our report of novel mutations in HAS1 of MM and WM patients, confirmed now in MGUS, suggests that mutations in HAS1 may play a key role in oncogenesis. Further genetic analysis of patient populations and the biochemical characterization of the mutated proteins will provide considerable insight into the function of HAS1 during transformation from MGUS to overt MM. 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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,018
Tête enseignante GPT0,273
Écart entre enseignants0,255 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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