Côte科特迪瓦慢性髓系白血病患者对伊马替尼一线治疗的早期分子反应和不良预后的预测因素

Q3 Medicine Advances in Hematology Pub Date : 2024-12-11 eCollection Date: 2024-01-01 DOI:10.1155/2024/4576455
Kouassi Gustave Koffi, Sara Akou Bognini, Dohoma Alexis Silué, Ismael Kamara, Ines Kouakou, Emeraude N'dhatz, Boidy Kouakou, Danho Clotaire Nanho, David Tea Okou
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The effects of an EMR on the cumulative incidence of a deep molecular response (DMR) were also evaluated. <b>Results:</b> Out of the 60 CML patients recruited, 29 (48%) achieved an optimal response with TKI therapy after 3 months. The cumulative rate of molecular response was 16 (36%) for a major molecular response (MMR), 10 (23%) for MR4, 8 (18%) for MR4.5, and 6 (14%) for MR5, while 4 (9%) showed indetectable transcript. In addition, as 26 (90%) of patients with optimal response at 3 months showed a DMR, we determined that an optimal response to TKI at 3 months was significantly correlated with a DMR. We also identified through multivariate analysis that seven independent risk factors significantly influenced an EMR to TKI. 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引用次数: 0

摘要

目的:本研究旨在首次评估慢性髓系白血病患者在3个月时对伊马替尼的早期分子反应(EMR),并确定影响不良预后和反应的预测因素。方法:纳入2018年5月至2023年6月新诊断的CML患者60例。他们接受了伊马替尼治疗,并进行了前瞻性的分子评估。使用RT-qPCR方法评估他们的EMR,并在3个月时表达为BCR::ABL1 IS转录水平。使用Cox比例风险回归模型确定影响EMR的潜在因素。EMR对深度分子反应(DMR)累积发生率的影响也进行了评估。结果:在招募的60例CML患者中,29例(48%)在3个月后通过TKI治疗获得了最佳反应。主要分子反应(MMR)的累积分子反应率为16 (36%),MR4为10 (23%),MR4.5为8 (18%),MR5为6(14%),而4(9%)显示不可检测的转录物。此外,由于26例(90%)在3个月时出现最佳反应的患者出现DMR,我们确定3个月时TKI的最佳反应与DMR显着相关。我们还通过多变量分析确定了七个独立的危险因素显著影响EMR对TKI的影响。这些因素包括男性、晚期诊断、晚期表现、脾肿大、高elts危险组、BCR::ABL1结构域突变和超过30天的完全血液学反应。结论:我们的研究表明,3个月的EMR对DMR有预测价值。此外,MMR和DMR可以使用对最佳反应有重大影响的参数组合进行预测,或者可以作为分子反应的预后指标,特别是在没有或不可能获得分子评估和监测的低收入国家。
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Early Molecular Response to Imatinib First-Line Therapy and Predictive Factors of Poor Outcomes for Chronic Myeloid Leukemia Patients in Côte d'Ivoire.

Objective: The present study aimed to evaluate for the first time, the early molecular response (EMR) to imatinib at 3 months for patients with chronic myeloid leukemia and to determine the predictive factors that influence poor outcome and response. Methods: 60 newly diagnosed CML patients were enrolled from May 2018 to June 2023. They received imatinib and prospectively underwent a molecular evaluation. Their EMR was assessed using a RT-qPCR method and expressed as the BCR::ABL1 IS transcript level at 3 months. Potential factors impacting the EMR were identified using the Cox proportional hazard regression models. The effects of an EMR on the cumulative incidence of a deep molecular response (DMR) were also evaluated. Results: Out of the 60 CML patients recruited, 29 (48%) achieved an optimal response with TKI therapy after 3 months. The cumulative rate of molecular response was 16 (36%) for a major molecular response (MMR), 10 (23%) for MR4, 8 (18%) for MR4.5, and 6 (14%) for MR5, while 4 (9%) showed indetectable transcript. In addition, as 26 (90%) of patients with optimal response at 3 months showed a DMR, we determined that an optimal response to TKI at 3 months was significantly correlated with a DMR. We also identified through multivariate analysis that seven independent risk factors significantly influenced an EMR to TKI. These factors included male, late diagnosis, advanced performance status, the presence of splenomegaly, high-ELTS risk groups, a BCR::ABL1 domain mutation, and complete hematologic response after more than 30 days. Conclusion: Our study demonstrates that an EMR at 3 months has a predictive value for a DMR. In addition, a MMR and a DMR can be predicted using a combination of parameters that either have a significant impact on the optimal response, or that can serve as prognostic indicators for molecular response, especially in low-income countries, where molecular assessment and monitoring are not available or possible.

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来源期刊
Advances in Hematology
Advances in Hematology Medicine-Hematology
CiteScore
3.30
自引率
0.00%
发文量
10
审稿时长
15 weeks
期刊最新文献
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