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Enregistrement W97160107 · doi:10.1182/blood.v116.21.3397.3397

Analysis of BCR-ABL1 Tyrosine Kinase Domain Mutations In Primitive Chronic Myeloid Leukemia Cells Identifies a Unique Mutator Phenotype.

2010· article· en· W97160107 sur OpenAlexaff
Xiaoyan Jiang, Hannah Grant, Justin Stebbing, Letizia Foroni, Charles Craddock, Mike Griffiths, Richard E. Clark, Stephen J. O’Brien, Jamshid S. Khorashad, Gareth Gerrard, Lihui Wang, Julie Irving, Meng Wang, Loraine Karran, Martin J.S. Dyer, Donna L. Forrest, Karen Page, Connie J. Eaves, Adrian Woolfson

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensUniversity of British ColumbiaBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésImatinib mesylateMyeloid leukemiaBiologyMutationCancer researchPhenotypeTyrosine kinaseLeukemiaMolecular biologyABLImatinibGeneticsGeneReceptor

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 3397 The tyrosine kinase inhibitor (TKI), imatinib mesylate (IM), induces remissions in most chronic phase chronic myeloid leukaemia (CML-CP) patients, but emergence of drug resistance attributable to critical mutations in the BCR-ABL1 TK domain remains a significant clinical problem. We previously demonstrated that primitive (CD34+) CML-CP cells are both intrinsically insensitive to IM and genetically unstable. BCR-ABL1 TK domain mutations are, furthermore, readily detectable in CD34+ CML-CP cells even prior to IM treatment. However, the mechanisms by which they arise are unknown. In this study, we characterized the spectrum of mutations at each of the 3 codon positions in the BCR-ABL1 TK domain of IM-naïve CD34+ cells and used a mathematical model to compare these with those found in the same region of DNA in IM-resistant cells. A total of 460 TK mutations were identified in cells from 15 IM-naïve and from 316 IM-resistant patients. The mutations were non-randomly distributed across the 3 codon positions, with very few mutations at position 3 (1 of 136 mutations, 0.7%, in IM-naïve patients and 31 of 329, 9%, in IM-resistant patients). The remainder showed no bias in their distribution across codon positions 1 and 2 in IM-naïve patient cells but, in IM-resistant cells, a significant positive bias was observed at codon position 2 (p=0.042). Conversely, BCR-ABL1 TK domain sequences from IM-naïve patient cells had significantly more transitions relative to unselected regions of the genome across all codon positions, a significant positive A-to-G mutational bias (A>G, 1.12×10−10) and an under-representation of C-to-T mutations (C>T, 5.34×10−5) when these mutations were compared with unselected regions of the genome. In addition, we observed a T-to-C mutational hotspot (T>C, 1.23×10−4) at codon position 2. IM-naïve cells exhibited a transitional bias at position 2 and overall (1.99×10−4 and 6.19×10−5, respectively; at position 1, P=0.052). We observed a similar pattern of TK codon position mutations at position 1 and overall in sequences derived from IM-resistant cells. Interestingly, in IM-resistant cells, A-to-T (A>T) transversions were over-represented at position 2 and overall (1.41×10−11 and 3.77×10−5). These cells also had a profound transversional bias (1.45×10−4) at codon position 3, suggesting that positive selection occurs at a position where transversions are typically non-synonymous. However, a skewed transition:transversion ratio and transition and transversion frequency at TK codon positions 1 and 2 was observed in both IM-naïve and IM-selected cells with mutations distributed across these 2 codon positions in a significantly uneven fashion. In IM-resistant cells, the frequency of C-to-T mutations (C>T, 3.82×10−11) indicated a bias affecting codon position 2 more often than position 1, and A-to-T transversions occurred significantly more frequently at position 2 compared to position 1 (A>T, 7.45×10−9). This was also the case for T-to-C transitions in TK sequences of IM-naïve cells (T>C, 1.13×10−4). Frequencies of these TK mutations in IM-naïve and IM-resistant cells were also higher than in unselected regions of the genome, providing further evidence that the TK domain mutations in CML-CP cells have a distinct mutational profile. For example, the clinically observed M244V and D276G mutations result from A-to-G transitions and the F359L mutation arises from a T-to-C transition, both of which would be predicted by the activity of a CML-CP mutator. However, the most clinically important mutation, T315I, that confers resistance to most currently available TKIs, is generated by a C-to-T transition, suggesting a high mutational rate generating mutational escape around the principal mutator pattern and profound selection thereafter. Notably, the CML-CP mutational signature is distinct from that of the activation-induced cytidine deaminase (AID)-induced hypermutation reported in CML blast crisis, both in targeting specific codon positions and in the overall mutational pattern. This strongly favors the hypothesis that the genomic instability of primitive CML-CP cells is generated by a different, specific mutational process. The results also suggest that monitoring BCR-ABL mutational hotspots may be clinically useful in anticipating TKI resistance. 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)0,000
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,002

Scores du classifieur distillé par catégorie (deux têtes)

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)0,0010,000

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 Opus0,008
Tête enseignante GPT0,252
Écart entre enseignants0,245 · 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
Publié2010
Routes d'admission1
Résumé présentoui

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