Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis-Reference-Cited by-同舟云学术

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Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis

Published:2019-04-22 Issue:1 Volume:12 Page:
ISSN:1757-2215
Container-title:Journal of Ovarian Research
language:en
Short-container-title:J Ovarian Res

Author:

Feng Hao,Gu Zhong-Yi,Li Qin,Liu Qiong-Hua,Yang Xiao-Yu,Zhang Jun-Jie

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Obstetrics and Gynecology,Oncology

Link

http://link.springer.com/content/pdf/10.1186/s13048-019-0508-2.pdf

Reference40 articles.

1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. Ca-Cancer J Clin. 2017;67(1):7–30.

2. Weidle UH, Birzele F, Kollmorgen G, Rueger R. Mechanisms and targets involved in dissemination of ovarian Cancer. Cancer Genom Proteom. 2016;13(6):407–23.

3. Cormio G, Rossi C, Cazzolla A, Resta L, Loverro G, Greco P, et al. Distant metastases in ovarian carcinoma. Int J Gynecol Cancer. 2003;13(2):125–9.

4. Vogelstein B, Papadopoulos N, Velculescu VE, Zhou S, Diaz LA Jr, Kinzler KW. Cancer genome landscapes. Science. 2013;339(6127):1546–58.

5. Isella C, Terrasi A, Bellomo SE, Petti C, Galatola G, Muratore A, et al. Stromal contribution to the colorectal cancer transcriptome. Nat Genet. 2015;47(4):312–9.

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