Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, KU Leuven (University of Leuven), University Hospitals Leuven, Leuven, Belgium.
Department of Human Genetics, KU Leuven, Laboratory for Translational Genetics, Leuven, Belgium.
Clin Cancer Res. 2017 Dec 1;23(23):7232-7241. doi: 10.1158/1078-0432.CCR-17-0566. Epub 2017 Sep 22.
Molecular classification of endometrial cancer identified distinct molecular subgroups. However, the largest subset of endometrial cancers remains poorly characterized and is referred to as the "nonspecific molecular profile" (NSMP) subgroup. Here, we aimed at refining the classification of this subgroup by profiling somatic copy-number aberrations (SCNAs). SCNAs were analyzed in 141 endometrial cancers using whole-genome SNP arrays and pooled with 361 endometrial cancers from The Cancer Genome Atlas. Genomic Identification of Significant Targets in Cancer (GISTIC) identified statistically enriched SCNAs and penalized Cox regression assessed survival effects. The prognostic significance of relevant SCNAs was validated using multiplex ligation-dependent probe amplification in 840 endometrial cancers from the PORTEC-1/2 trials. Copy-number status of genes was correlated with gene expression to identify potential cancer drivers. One plausible oncogene was validated using antisense oligonucleotide-based strategy. SCNAs affecting chromosome 1q32.1 significantly correlated with worse relapse-free survival (RFS) in the NSMP subgroup (HR, 2.12; 95% CI, 1.26-3.59; = 0.005). This effect was replicated in NSMP endometrial cancers from PORTEC-1/2 (HR, 2.34; 95% CI, 1.17-4.70; = 0.017). A new molecular classification including the 1q32.1 amplification improved risk prediction of recurrence. gene expression strongly correlated with 1q32.1 amplification. Silencing inhibited cell growth in cell lines carrying 1q32.1 amplification, but not in those without amplification. , increasing expression in nonamplified cell lines stimulated cell proliferation. 1q32.1 amplification was identified as a prognostic marker for poorly characterized NSMP endometrial cancers, refining the molecular classification of this subgroup. We functionally validated as a potential oncogenic driver in the 1q32.1 region. .
子宫内膜癌的分子分类确定了不同的分子亚群。然而,最大的一组子宫内膜癌仍然特征不明显,被称为“非特异性分子谱(NSMP)”亚组。在这里,我们旨在通过分析体细胞拷贝数异常(SCNAs)来细化该亚组的分类。使用全基因组 SNP 芯片分析了 141 例子宫内膜癌的 SCNAs,并与癌症基因组图谱(TCGA)中的 361 例子宫内膜癌进行了汇总。癌症基因组鉴定显著靶点(GISTIC)确定了统计学上富集的 SCNAs,并通过惩罚 Cox 回归评估了生存影响。在 PORTEC-1/2 试验中的 840 例子宫内膜癌中使用多重连接依赖性探针扩增验证了相关 SCNAs 的预后意义。基因的拷贝数状态与基因表达相关联,以确定潜在的癌症驱动基因。使用基于反义寡核苷酸的策略验证了一个合理的癌基因。影响染色体 1q32.1 的 SCNAs 与 NSMP 亚组的无复发生存(RFS)显著相关(HR,2.12;95%CI,1.26-3.59;=0.005)。这一效应在 PORTEC-1/2 的 NSMP 子宫内膜癌中得到了复制(HR,2.34;95%CI,1.17-4.70;=0.017)。一种新的分子分类方法,包括 1q32.1 扩增,提高了复发风险预测的准确性。 基因表达与 1q32.1 扩增强烈相关。沉默 在携带 1q32.1 扩增的细胞系中抑制细胞生长,但在没有扩增的细胞系中没有抑制作用。 ,在非扩增细胞系中增加 表达刺激细胞增殖。1q32.1 扩增被确定为特征不明显的 NSMP 子宫内膜癌的预后标志物,细化了该亚组的分子分类。我们在功能上验证了 作为 1q32.1 区域的潜在致癌驱动基因。 。