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Myc 活性特征可预测 Myc 相关癌症的不良临床结局。

A Myc Activity Signature Predicts Poor Clinical Outcomes in Myc-Associated Cancers.

机构信息

Children's Cancer Institute Australia, Lowy Cancer Research Centre, University of New South Wales Australia, Kensington, New South Wales, Australia.

Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.

出版信息

Cancer Res. 2017 Feb 15;77(4):971-981. doi: 10.1158/0008-5472.CAN-15-2906. Epub 2016 Dec 6.

DOI:10.1158/0008-5472.CAN-15-2906
PMID:27923830
Abstract

Myc transcriptional activity is frequently deregulated in human cancers, but a Myc-driven gene signature with prognostic ability across multiple tumor types remains lacking. Here, we selected 18 Myc-regulated genes from published studies of Myc family targets in epithelial ovarian cancer (EOC) and neuroblastoma. A Myc family activity score derived from the 18 genes was correlated to // expression in a panel of 35 cancer cell lines. The prognostic ability of this signature was evaluated in neuroblastoma, medulloblastoma, diffuse large B-cell lymphoma (DLBCL), and EOC microarray gene expression datasets using Kaplan-Meier and multivariate Cox regression analyses and was further validated in 42 primary neuroblastomas using qPCR. Cell lines with high , and/or gene expression exhibited elevated expression of the signature genes. Survival analysis showed that the signature was associated with poor outcome independently of well-defined prognostic factors in neuroblastoma, breast cancer, DLBCL, and medulloblastoma. In EOC, the 18-gene Myc activity signature was capable of identifying a group of patients with poor prognosis in a "high-" molecular subtype but not in the overall cohort. The predictive ability of this signature was reproduced using qPCR analysis of an independent cohort of neuroblastomas, including a subset of tumors without amplification. These data reveal an 18-gene Myc activity signature that is highly predictive of poor prognosis in diverse Myc-associated malignancies and suggest its potential clinical application in the identification of Myc-driven tumors that might respond to Myc-targeted therapies. .

摘要

Myc 的转录活性在人类癌症中经常失调,但缺乏一种具有跨多种肿瘤类型预后能力的 Myc 驱动基因特征。在这里,我们从已发表的上皮性卵巢癌 (EOC) 和神经母细胞瘤中 Myc 家族靶标研究中选择了 18 个 Myc 调控基因。从 35 种癌细胞系的基因表达谱中得出的 18 个基因的 Myc 家族活性评分与 // 表达呈正相关。该特征的预后能力在神经母细胞瘤、髓母细胞瘤、弥漫性大 B 细胞淋巴瘤 (DLBCL) 和 EOC 微阵列基因表达数据集上使用 Kaplan-Meier 和多变量 Cox 回归分析进行了评估,并在 42 例原发性神经母细胞瘤中使用 qPCR 进一步验证。高表达 基因和/或 基因的细胞系表现出该特征基因的表达上调。生存分析表明,该特征与神经母细胞瘤、乳腺癌、DLBCL 和髓母细胞瘤中定义明确的预后因素无关,与不良预后独立相关。在 EOC 中,18 个基因 Myc 活性特征能够在“高-”分子亚型中识别出一组预后不良的患者,但在整个队列中不能。使用 qPCR 分析独立的神经母细胞瘤队列,包括一部分没有 扩增的肿瘤,重现了该特征的预测能力。这些数据揭示了一种与 Myc 相关的多种恶性肿瘤中预后不良高度相关的 18 个基因 Myc 活性特征,并表明其在鉴定可能对 Myc 靶向治疗有反应的 Myc 驱动肿瘤方面具有潜在的临床应用。

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