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存在突变和缺失的 PTEN 与接受 AIEOP-BFM ALL 方案治疗的儿童 T 细胞急性淋巴细胞白血病复发风险增加相关。

The presence of mutated and deleted PTEN is associated with an increased risk of relapse in childhood T cell acute lymphoblastic leukaemia treated with AIEOP-BFM ALL protocols.

机构信息

Oncoematologia Pediatrica, Azienda Ospedaliera di Padova, Padova, Italy.

Department of Women's and Children's Health, Paediatric Hematology and Oncology, University of Padova, Padova, Italy.

出版信息

Br J Haematol. 2018 Sep;182(5):705-711. doi: 10.1111/bjh.15449. Epub 2018 Jun 25.

DOI:10.1111/bjh.15449
PMID:29938780
Abstract

Notwithstanding the improvement in treatment results for paediatric T cell acute lymphoblastic leukaemia (T-ALL) it remains important to understand if genetic aberrations influence therapy response. PTEN tumour suppressor gene inactivation is a frequent event in T-ALL but its effect on patient therapy response is debatable. We analysed the effect of the presence of mutated PTEN on outcome in 257 children with T-ALL treated with Associazione Italiana di Ematologia e Oncologia Pediatrica (AIEOP)-Berlin-Frankfürt-Münster (BFM) protocols. PTEN mutations were present in 31 (12·1%) patients and were significantly associated with increased risk of relapse. PTEN mutations also indicate a poor prognosis in T-ALL patients in the absence of NOTCH1 mutations or in the group of patients with co-presence of PTEN mutation and deletions. These results indicate that PTEN genomic aberrations and the biologically consequential PTEN inactivation contribute to adverse therapy response in T-ALL patients; PTEN status as a biomarker may contribute to the development of new molecularly-defined stratification algorithms.

摘要

尽管儿童 T 细胞急性淋巴细胞白血病(T-ALL)的治疗效果有所改善,但了解遗传异常是否影响治疗反应仍然很重要。PTEN 肿瘤抑制基因失活是 T-ALL 中的常见事件,但它对患者治疗反应的影响存在争议。我们分析了 257 例接受意大利血液学和肿瘤学会(AIEOP)-柏林-法兰克福-慕尼黑(BFM)方案治疗的 T-ALL 患儿中存在突变型 PTEN 对结局的影响。PTEN 突变存在于 31 例(12.1%)患者中,与复发风险增加显著相关。在没有 NOTCH1 突变的情况下,PTEN 突变也预示着 T-ALL 患者预后不良,或者在同时存在 PTEN 突变和缺失的患者组中。这些结果表明,PTEN 基因组异常和由此导致的 PTEN 失活导致 T-ALL 患者治疗反应不良;PTEN 状态作为一种生物标志物可能有助于开发新的基于分子的分层算法。

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