Prognostic values of GMPS, PR, CD40, and p21 in ovarian cancer

doi:10.3877/cma.j.issn.2095-1221.2019.02.005

Abstract

Abstract:

Objective

This study profiled an ovarian cancer progression model to identify prognostic biomarkers for ovarian cancer patients.

Methods

Mouse ovarian surface epithelial cells (MOSECs) underwent spontaneous malignant transformation in vitro cell culture, which were used as a model of ovarian cancer progression for alterations in gene expression and signaling detected using the Illumina HiSeq2000 Next-Generation Sequencing platform and bioinformatical analyses. The differential expression of four selected genes was identified using the gene expression profiling interaction analysis (http://gepia.cancer-pku.cn/) and then associated with survival in ovarian cancer patients using the Cancer Genome Atlas dataset and the online Kaplan-Meier Plotter (www.kmplot.com) data.

Results

The data showed 263 aberrantly expressed genes, including 182 up-regulated and 81 down-regulated genes between the early and late stages of tumor progression in MOSECs. The bioinformatic data revealed that four genes [i.e., guanosine 5'-monophosphate synthase (GMPS), progesterone receptor (PR), CD40, and p21 (cyclin-dependent kinase inhibitor 1A) ] played an important role in ovarian cancer progression. Furthermore, the Cancer Genome Atlas dataset validated the differential expression of these four genes, which were associated with prognosis in ovarian cancer patients.

Conclusion

This study profiled differentially expressed genes using the ovarian cancer progression model and identified four (i.e., GMPS, PR, CD40, and p21) as prognostic markers for ovarian cancer patients. Future studies of prospective patients could further verify the clinical usefulness of this four-gene signature.

Key words: Ovarian cancer, Gene profiling, Biomarker, Prognosis, TCGA dataset

Ping Wang, Zengli Zhang, Yujie Ma, Jun Lu, Hu Zhao, Shuiliang Wang, Jianming Tan, Bingyan Li. Prognostic values of GMPS, PR, CD40, and p21 in ovarian cancer[J]. Chinese Journal of Cell and Stem Cell(Electronic Edition), 2019, 09(02): 92-101.

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Figures/Tables 8

References 47

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Gene name	Log2 fold change
Up-regulated genes
Ccbe1	5.514199	1.4E-06
Sfrp2	5.316823	1.32E-06
Cntnap2	5.187267	1.7E-06
Cd55	4.949248	1.76E-06
9930013L23Rik	4.617182	2.6E-06
Ephx1	4.554543	1.95E-06
Gnai1	4.548394	2.15E-06
Ctla2a	4.534042	2.29E-06
Csgalnact1	4.478922	2.32E-06
Ahsp	4.473507	2.34E-06
Pkhd1l1	4.230823	2.51E-06
Thy1	4.208894	2.67E-06
Apoe	4.188801	3.25E-06
Tmem45a	4.175247	2.98E-06
Scg5	4.052742	3.26E-06
Slc47a1	4.001494	5.55E-06
Akr1c13	3.99621	5.96E-06
Nxnl2	3.980449	5.75E-06
Zfp385b	3.975438	6.79E-06
D630010B17Rik	3.920202	4.38E-06
Down-regulated genes
Cst12	-5.66249	1.23E-06
Pcolce2	-4.47177	3.45E-06
Serpina3g	-4.29413	5.03E-06
Aif1l	-4.03994	3.55E-06
Tmem79	-4.01531	5.38E-06
Emb	-3.91989	4.28E-06
1810065E05Rik	-3.90506	5.07E-06
Kcnk1	-3.90055	3.78E-06
D0H4S114	-3.73926	5.56E-06
Pip5k1b	-3.01345	2.1E-05
Ano1	-3.07047	3.8E-05
Coro2b	-3.13207	2.86E-05
Cbfa2t3	-3.18901	3.41E-05
Glipr1	-3.23211	1.82E-05
Ms4a3	-3.63888	9.81E-06
Slain1	-3.63583	8.48E-06
Gmps	-3.62074	4.96E-06
Foxc2	-3.61526	8.09E-06
Emp1	-3.41282	9.39E-06
Nkx2-3	-3.39217	1.69E-05

Gene name	Log2 fold change
Up-regulated genes
Ccbe1	5.514199	1.4E-06
Sfrp2	5.316823	1.32E-06
Cntnap2	5.187267	1.7E-06
Cd55	4.949248	1.76E-06
9930013L23Rik	4.617182	2.6E-06
Ephx1	4.554543	1.95E-06
Gnai1	4.548394	2.15E-06
Ctla2a	4.534042	2.29E-06
Csgalnact1	4.478922	2.32E-06
Ahsp	4.473507	2.34E-06
Pkhd1l1	4.230823	2.51E-06
Thy1	4.208894	2.67E-06
Apoe	4.188801	3.25E-06
Tmem45a	4.175247	2.98E-06
Scg5	4.052742	3.26E-06
Slc47a1	4.001494	5.55E-06
Akr1c13	3.99621	5.96E-06
Nxnl2	3.980449	5.75E-06
Zfp385b	3.975438	6.79E-06
D630010B17Rik	3.920202	4.38E-06
Down-regulated genes
Cst12	-5.66249	1.23E-06
Pcolce2	-4.47177	3.45E-06
Serpina3g	-4.29413	5.03E-06
Aif1l	-4.03994	3.55E-06
Tmem79	-4.01531	5.38E-06
Emb	-3.91989	4.28E-06
1810065E05Rik	-3.90506	5.07E-06
Kcnk1	-3.90055	3.78E-06
D0H4S114	-3.73926	5.56E-06
Pip5k1b	-3.01345	2.1E-05
Ano1	-3.07047	3.8E-05
Coro2b	-3.13207	2.86E-05
Cbfa2t3	-3.18901	3.41E-05
Glipr1	-3.23211	1.82E-05
Ms4a3	-3.63888	9.81E-06
Slain1	-3.63583	8.48E-06
Gmps	-3.62074	4.96E-06
Foxc2	-3.61526	8.09E-06
Emp1	-3.41282	9.39E-06
Nkx2-3	-3.39217	1.69E-05

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