Comparative transcriptome analysis of matched primary and distant metastatic ovarian carcinoma

被引:15
|
作者
Sallinen, H. [1 ]
Janhonen, S. [1 ,2 ]
Polonen, P. [3 ]
Niskanen, H. [4 ]
Liu, O. H. [4 ]
Kivela, A. [4 ]
Hartikainen, J. M. [5 ]
Anttila, M. [1 ]
Heinaeniemi, M. [3 ]
Yla-Herttuala, S. [4 ]
Kaikkonen, M. U. [4 ]
机构
[1] Kuopio Univ Hosp, Dept Obstet & Gynecol, Kuopio, Finland
[2] Univ Eastern Finland, Inst Clin Med, Sch Med, Kuopio, Finland
[3] Univ Eastern Finland, Inst Biomed, Sch Med, Kuopio, Finland
[4] Univ Eastern Finland, AI Virtanen Inst Mol Sci, POB 1627, Kuopio 70211, Finland
[5] Univ Eastern Finland, Inst Clin Med Pathol & Forens Med, Kuopio, Finland
基金
芬兰科学院;
关键词
HGSOC; Ovarian carcinoma; Metastasis; RNA sequencing; Transcriptome; EXPRESSION; CANCER; GENE; SUBTYPES; GATA4;
D O I
10.1186/s12885-019-6339-0
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background High grade serous ovarian carcinoma (HGSOC) is the most common subtype of epithelial ovarian cancers (EOC) with poor prognosis. In most cases EOC is widely disseminated at the time of diagnosis. Despite the optimal cytoreductive surgery and chemotherapy most patients develop chemoresistance, and the 5-year overall survival being only 25-35%. Methods Here we analyzed the gene expression profiles of 10 primary HGSOC tumors and 10 related omental metastases using RNA sequencing and identified 100 differentially expressed genes. Results The differentially expressed genes were associated with decreased embryogenesis and vasculogenesis and increased cellular proliferation and organismal death. Top upstream regulators responsible for this gene signature were NR5A1, GATA4, FOXL2, TP53 and BMP7. A subset of these genes were highly expressed in the ovarian cancer among the cancer transcriptomes of The Cancer Genome Atlas. Importantly, the metastatic gene signature was suggestive of poor survival in TCGA data based on gene enrichment analysis. Conclusion By comparing the gene expression profiles of primary HGSOC tumors and their matched metastasis, we provide evidence that a signature of 100 genes is able to separate these two sample types and potentially predict patient survival. Our study identifies functional categories of genes and transcription factors that could play important roles in promoting metastases and serve as markers for cancer prognosis.
引用
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页数:11
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