Sequencing the Multiple Myeloma Kinome: Absence of Mutation in Known Malignancy-Associated Kinases.
Notice bibliographique
Résumé
Abstract In approximately 50% of Multiple Myeloma (MM), translocation of non random genes into the IgH locus is believed to be the seminal event in the pathogenesis of the disease. Another 50% of cases are hyperdiploid and trisomic to certain autosomes, but do not harbor any translocation and thus are believed to have genetic alterations in unidentified loci. These observations, together with the finding of somatic mutations in FGFR3, N- and K-RAS, MYC, TP53 and CDKN2C/p18INK4C during the later stages of MM indicate that defective signaling pathways likely play a role in the progression of this malignancy. Of relevance then, in recent years recurrent mutations in kinases have frequently been implicated in malignancies including notably colon cancer and melanoma. We have therefore begun a comprehensive effort to sequence the tyrosine kinome for mutations and genetic polymorphisms in MM. Of particular interest are 90 receptor tyrosine kinases, 43 receptor tyrosine kinase-like, 5 receptor guanylate cyclase, and a lipid kinase. We report here results from our pilot high throughput exon scanning in 32 human MM cell lines which initially focused on 13 kinases known to be somatically mutated in human cancers. To date we have expanded this effort to assess 30 genes with sequence obtained which currently spans 80% coverage of the kinase domains of these genes. A total of 1.9 million bp have been sequenced across 235 exons. No recurrent mutations have been identified in the kinase domains of the cancer-associated genes: SRC, ILK1, KIT, GUCY2F, PDGFRA; in the genetic disorder-associated kinases: BTK, EPHA4, LAMA2, EPHB6, ACVR2; and in the mutation hot spots of frequently mutated cancer gene PIK3CA. A novel missense mutation is however identified upstream of the kinase domain of FGFR3 changing a Ser residue to Arg at codon 433. This residue, which is conserved across species and in FGFR1 and FGFR2, has not been reported in myeloma and in thanatophoric dysplasia, but the biological significance of this mutation is unknown. Several single nucleotide polymorphisms were identified in the coding regions of some of these kinases. Notably, synonymous polymorphisms in the kinase domains of EPHA4, PDGFRA3, KIT, MLK1, ILK1, NTRK3, FLT3, ABL1, FES, MLK4, and EGFR1 were identified that changed a codon but not the amino acid. More importantly, we identified non-synonymous amino acid variations in the kinase domains of EPHA4, GUCY2F, PTK2, and PIK3CA genes that are more likely to effect variability in the activity of these kinases. In summary, no recurrent kinase mutations of significance in Myeloma development or progression have yet been identified. Sequencing of the known cancer associated kinases in MGUS and hyperdiploid MM patients is now underway and our data set is being expanded to include all 139 kinases.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,001 | 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 ».