Significant Discrepancy In Peripheral Blood Compared to Bone Marrow BCR-ABL Transcript Levels In Chronic Phase Chronic Myeloid Leukemia (CML)
Notice bibliographique
Résumé
Abstract Abstract 4471 Chronic myeloid leukemia (CML) is associated with the reciprocal t(9;22)(q34;q11) translocation, which generates the BCR-ABL fusion oncogene and is the most common myeloproliferative disease affecting adults. The clinical outcome in this disease has been revolutionized with the use of imatinib mesylate (Gleevec), a targeted tyrosine kinase inhibitor, and molecular surveillance, with the development of quantitative PCR (qPCR) approaches to measure BCR-ABL transcript levels. A number of guidelines outlining follow-up strategies for patients with chronic phase CML on imatinib therapy have been established. Once a patient is stable, a typical recommendation includes peripheral blood (PB) monitoring by qPCR of BCR-ABL levels every 3–6 months to determine response or relapse, with consideration of annual bone marrow (BM) examinations to assess for cytogenetic evolution. At the Queen Elizabeth II Health Sciences Centre and IWK Health Centre in Halifax, Nova Scotia, 34 patients with chronic phase CML on imatinib were identified from 2006 to 2008, with 36 paired samples, where transcript levels were assessed in both PB and BM within one week of each other. In 24 of the cases, the BCR-ABL transcript levels in PB and BM were within 0.5 log values of each other. In the remaining 12 cases, BCR-ABL transcript levels differed by greater than 0.5 log. Three cases had higher BM levels, but surprisingly, 9 patients had a higher BCR-ABL transcript level in the PB. In all cases, BCR-ABL levels were assessed by Q-RT-PCR using the ABI7500 instrument and primers and probe designed to detect p210 and p190 breakpoints. Results were recorded as a ratio of %BCR-ABL to GAPDH that was amplified as an internal control. There was no significant difference in clinical, morphological or laboratory parameters between these patients and others who had comparable PB and BM BCR-ABL levels. These findings highlight the need to compare BCR-ABL transcript levels derived from the same tissue during longitudinal monitoring. Moreover, while potentially due to stochastic factors, the striking observation of higher PB BCR-ABL transcript levels raises the question of which tissue represents the most accurate source for monitoring of BCR-ABL transcript levels and whether there is value in confirming a significant change in PB transcript level with BM evaluation. The discrepant levels in PB and BM could not be attributed to technical issues; the timing of sample processing from collection and quality of mRNA were comparable and no variability was observed in GAPDH levels to account for the difference. Without a technical explanation, the mechanism underlying this phenomenon remains uncertain. We speculate that it may reflect CML stem cell geography with one possibility being that the CML niche may be located external to the BM. Further studies are needed to confirm these observations. If corroborated, then revision of surveillance approaches for chronic phase patients may be indicated. 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 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 | 0,001 | 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 ».