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This research investigates the potential of fusion transcript dynamics to predict optimal molecular response in CBF-AML.

December 8, 2025BloodOpen Access

Fusion transcript dynamics as predictor of optimal molecular response in core-binding factor Acute Myeloid Leukemia

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Authors

MOMaro OhanianThe University of Texas MD Anderson Cancer Center YAYesid AlvaradoThe University of Texas MD Anderson Cancer Center WQWei QiaoChinese Academy of Sciences

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Implication

Observational cohort study shows serial monitoring of fusion transcript predicts minimal residual disease in CBF-AML, indicating risk stratification for relapse.

Key Points

This research investigates the potential of fusion transcript dynamics to predict optimal molecular response in CBF-AML.
Included newly diagnosed CBF-AML patients treated with gemtuzumab ozogamicin and FLAG-GO regimen.
Weekly qPCR measured for relevant CBF transcripts during induction cycle.
Linear mixed model analysis assessed association between peripheral blood qPCR and OMR.
47% of patients achieved minimal residual disease ≤0.1% by end of induction cycle 1.
75% of evaluable patients achieved minimal residual disease ≤0.01% after cycles 2/3.
Younger age trended towards better OMR at cycle 1, but not statistically significant.

Cite This Study

Ohanian et al. (2025) studied this question.

synapsesocial.com/papers/69362f7d4fa91c937236e462 https://doi.org/10.1182/blood-2025-1634

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Implication

Observational cohort study shows serial monitoring of fusion transcript predicts minimal residual disease in CBF-AML, indicating risk stratification for relapse.

Fusion transcript dynamics as predictor of optimal molecular response in core-binding factor Acute Myeloid Leukemia

Discussion

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Implication

Key Points

Cite This Study

Fusion transcript dynamics as predictor of optimal molecular response in core-binding factor Acute Myeloid Leukemia

Discussion

Member takes

Implication

Key Points

Cite This Study

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