计算工作流程将58个基因标记转化为福尔马林固定,石蜡包埋样品为基础的伴侣诊断,用于结肠癌braf突变样亚型的个性化治疗。

Q2 Biochemistry, Genetics and Molecular Biology
High-Throughput Pub Date : 2017-11-06 DOI:10.3390/ht6040016
Sjors G J G In 't Veld, Kim N Duong, Mireille Snel, Anke Witteveen, Inès J Beumer, Leonie J M J Delahaye, Diederik Wehkamp, René Bernards, Annuska M Glas, Sun Tian
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引用次数: 3

摘要

BRAF(p.V600E)突变的结直肠癌患者在转移情况下预后较差。需要个性化的治疗方案和伴随诊断来更好地治疗这些患者。此前,我们开发了58个基因标记来表征braf突变样亚型的不同基因表达模式(准确率为91.1%)。进一步的实验将长春瑞滨重新定位为对这种braf突变样亚型具有特异性致死作用的药物。本研究的目的是将这58个基因标记从研究环境转化为可靠的伴随诊断,可以使用福尔马林固定石蜡包埋(FFPE)样本来选择具有braf突变样亚型的患者。检测302份FFPE样品(突变体57份,野生型245份)的BRAF突变及基因表达数据。在FFPE样品中,58个基因标记的灵敏度高达89.5%。在鉴定的BRAF突变样亚型组中,50%的肿瘤为已知的BRAF突变体,50%为BRAF野生型。在40多个独立实验中,通过两个对照样本评估了FFPE样品中58个基因特征的稳定性。标准偏差(SD)在预定标准内(对照1:SD = 0.091, SD/Range = 3.0%;对照2:SD = 0.169, SD/Range = 5.5%)。用170对新鲜冷冻和FFPE样本比较了这58个基因特征的新鲜冷冻版本和翻译的FFPE版本,结果显示出高度的一致性(一致性= 99.3%)。总之,我们将这58个基因特征转化为可使用FFPE样本的可靠伴随诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Computational Workflow Translates a 58-Gene Signature to a Formalin-Fixed, Paraffin-Embedded Sample-Based Companion Diagnostic for Personalized Treatment of the BRAF-Mutation-Like Subtype of Colorectal Cancers.

A Computational Workflow Translates a 58-Gene Signature to a Formalin-Fixed, Paraffin-Embedded Sample-Based Companion Diagnostic for Personalized Treatment of the BRAF-Mutation-Like Subtype of Colorectal Cancers.

A Computational Workflow Translates a 58-Gene Signature to a Formalin-Fixed, Paraffin-Embedded Sample-Based Companion Diagnostic for Personalized Treatment of the BRAF-Mutation-Like Subtype of Colorectal Cancers.

A Computational Workflow Translates a 58-Gene Signature to a Formalin-Fixed, Paraffin-Embedded Sample-Based Companion Diagnostic for Personalized Treatment of the BRAF-Mutation-Like Subtype of Colorectal Cancers.

Colorectal cancer patients with the BRAF(p.V600E) mutation have poor prognosis in metastatic setting. Personalized treatment options and companion diagnostics are needed to better treat these patients. Previously, we developed a 58-gene signature to characterize the distinct gene expression pattern of BRAF-mutation-like subtype (accuracy 91.1%). Further experiments repurposed drug Vinorelbine as specifically lethal to this BRAF-mutation-like subtype. The aim of this study is to translate this 58-gene signature from a research setting to a robust companion diagnostic that can use formalin-fixed, paraffin-embedded (FFPE) samples to select patients with the BRAF-mutation-like subtype. BRAF mutation and gene expression data of 302 FFPE samples were measured (mutants = 57, wild-type = 245). The performance of the 58-gene signature in FFPE samples showed a high sensitivity of 89.5%. In the identified BRAF-mutation-like subtype group, 50% of tumours were known BRAF mutants, and 50% were BRAF wild-type. The stability of the 58-gene signature in FFPE samples was evaluated by two control samples over 40 independent experiments. The standard deviations (SD) were within the predefined criteria (control 1: SD = 0.091, SD/Range = 3.0%; control 2: SD = 0.169, SD/Range = 5.5%). The fresh frozen version and translated FFPE version of this 58-gene signature were compared using 170 paired fresh frozen and FFPE samples and the result showed high consistency (agreement = 99.3%). In conclusion, we translated this 58-gene signature to a robust companion diagnostic that can use FFPE samples.

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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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