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基因表达谱与上皮性卵巢癌患者预后不良相关。

Gene expression profile association with poor prognosis in epithelial ovarian cancer patients.

机构信息

Department of Pathology, Herlev Hospital, University of Copenhagen, Herlev, Denmark.

Oncology Venture, Horsholm, Denmark.

出版信息

Sci Rep. 2021 Mar 8;11(1):5438. doi: 10.1038/s41598-021-84953-9.

Abstract

Ovarian cancer (OC) is the eighth most common type of cancer for women worldwide. The current diagnostic and prognostic routine available for OC management either lack specificity or are very costly. Gene expression profiling has shown to be a very effective tool in exploring new molecular markers for patients with OC, although association of such markers with patient survival and clinical outcome is still elusive. Here, we performed gene expression profiling of different subtypes of OC to evaluate its association with patient overall survival (OS) and aggressive forms of the disease. By global mRNA microarray profiling in a total of 196 epithelial OC patients (161 serous, 15 endometrioid, 11 mucinous, and 9 clear cell carcinomas), we found four candidates-HSPA1A, CD99, RAB3A and POM121L9P, which associated with OS and poor clinicopathological features. The overexpression of all combined was correlated with shorter OS and progression-free survival (PFS). Furthermore, the combination of at least two markers were further associated with advanced grade, chemotherapy resistance, and progressive disease. These results indicate that a panel comprised of a few predictors that associates with a more aggressive form of OC may be clinically relevant, presenting a better performance than one marker alone.

摘要

卵巢癌(OC)是全球女性中第八种最常见的癌症类型。目前用于 OC 管理的诊断和预后常规方法要么缺乏特异性,要么非常昂贵。基因表达谱分析已被证明是探索 OC 患者新的分子标志物的非常有效的工具,尽管这些标志物与患者的生存和临床结果的关联仍然难以捉摸。在这里,我们对不同亚型的 OC 进行了基因表达谱分析,以评估其与患者总生存期(OS)和疾病侵袭性形式的关系。通过对总共 196 名上皮 OC 患者(161 名浆液性、15 名子宫内膜样、11 名黏液性和 9 名透明细胞癌)进行全 mRNA 微阵列分析,我们发现了四个候选基因-HSPA1A、CD99、RAB3A 和 POM121L9P,它们与 OS 和不良临床病理特征相关。所有联合表达均与较短的 OS 和无进展生存期(PFS)相关。此外,至少两种标志物的组合与高级别、化疗耐药和进行性疾病进一步相关。这些结果表明,由与更具侵袭性 OC 形式相关的少数预测因子组成的面板可能具有临床相关性,其表现优于单一标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b268/7940404/8ed21b007b1a/41598_2021_84953_Fig1_HTML.jpg

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