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 QiaoJiangnan University

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Implication

Analysis demonstrates achievement of optimal molecular response correlates with early risk stratification in CBF-AML patients treated with gemtuzumab ozogamicin.

Key Points

Optimizing prediction of molecular response is crucial to identifying high-risk CBF-AML patients early.
Significant differentiation was observed at EOC1 in bone marrow transcript levels, showing predictive potential.
Serial monitoring of qPCR levels correlates with treatment outcomes, highlighting early response patterns.
Further research is needed for larger representative cohorts to strengthen risk stratification algorithms.

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

Analysis demonstrates achievement of optimal molecular response correlates with early risk stratification in CBF-AML patients treated with gemtuzumab ozogamicin.

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

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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