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靶向基因测序在鉴别髓系恶性肿瘤与其他血细胞减少症中的作用。

Utility of targeted gene sequencing to differentiate myeloid malignancies from other cytopenic conditions.

机构信息

Sidney Kimmel Cancer Center, Baltimore, MD.

The Emmes Company, LLC, Rockville, MD.

出版信息

Blood Adv. 2023 Jul 25;7(14):3749-3759. doi: 10.1182/bloodadvances.2022008578.

Abstract

The National Heart, Lung, and Blood Institute-funded National MDS Natural History Study (NCT02775383) is a prospective cohort study enrolling patients with cytopenia with suspected myelodysplastic syndromes (MDS) to evaluate factors associated with disease. Here, we sequenced 53 genes in bone marrow samples harvested from 1298 patients diagnosed with myeloid malignancy, including MDS and non-MDS myeloid malignancy or alternative marrow conditions with cytopenia based on concordance between independent histopathologic reviews (local, centralized, and tertiary to adjudicate disagreements when needed). We developed a novel 2-stage diagnostic classifier based on mutational profiles in 18 of 53 sequenced genes that were sufficient to best predict a diagnosis of myeloid malignancy and among those with a predicted myeloid malignancy, predict whether they had MDS. The classifier achieved a positive predictive value (PPV) of 0.84 and negative predictive value (NPV) of 0.8 with an area under the receiver operating characteristic curve (AUROC) of 0.85 when classifying patients as having myeloid vs no myeloid malignancy based on variant allele frequencies (VAFs) in 17 genes and a PPV of 0.71 and NPV of 0.64 with an AUROC of 0.73 when classifying patients as having MDS vs non-MDS malignancy based on VAFs in 10 genes. We next assessed how this approach could complement histopathology to improve diagnostic accuracy. For 99 of 139 (71%) patients (PPV of 0.83 and NPV of 0.65) with local and centralized histopathologic disagreement in myeloid vs no myeloid malignancy, the classifier-predicted diagnosis agreed with the tertiary pathology review (considered the internal gold standard).

摘要

美国国家心肺血液研究所(NHLBI)资助的国家 MDS 自然史研究(NCT02775383)是一项前瞻性队列研究,招募了伴有疑似骨髓增生异常综合征(MDS)的血细胞减少症患者,以评估与疾病相关的因素。在这里,我们对 1298 名经诊断患有髓系恶性肿瘤(包括 MDS 和非 MDS 髓系恶性肿瘤或伴有血细胞减少的替代骨髓疾病)的患者的骨髓样本进行了 53 个基因的测序,这些患者的诊断是基于独立组织病理学检查的一致性(局部、集中和三级以解决需要时的分歧)。我们基于 53 个测序基因中 18 个基因的突变谱开发了一种新的两阶段诊断分类器,该分类器足以最佳预测髓系恶性肿瘤的诊断,并且在预测为髓系恶性肿瘤的患者中,预测他们是否患有 MDS。该分类器基于 17 个基因的变异等位基因频率(VAF)将患者分为髓系与非髓系恶性肿瘤时,其阳性预测值(PPV)为 0.84,阴性预测值(NPV)为 0.8,受试者工作特征曲线下面积(AUROC)为 0.85;当基于 10 个基因的 VAF 将患者分为 MDS 与非 MDS 恶性肿瘤时,PPV 为 0.71,NPV 为 0.64,AUROC 为 0.73。接下来,我们评估了这种方法如何补充组织病理学以提高诊断准确性。在 139 名(71%)患者(PPV 为 0.83,NPV 为 0.65)中,有 99 名患者存在局部和集中组织病理学诊断的不一致性,在髓系与非髓系恶性肿瘤之间,分类器预测的诊断与三级病理学检查结果一致(被认为是内部金标准)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a002/10368770/227db6b46321/BLOODA_ADV-2022-008578-ga1.jpg

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