Signaling pathway network alterations in human ovarian cancers identified with quantitative mitochondrial proteomics-Reference-Cited by-同舟云学术

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Signaling pathway network alterations in human ovarian cancers identified with quantitative mitochondrial proteomics

Published:2019-06 Issue:2 Volume:10 Page:153-172
ISSN:1878-5077
Container-title:EPMA Journal
language:en
Short-container-title:EPMA Journal

Author:

Li Na,Zhan Xianquan^ORCID

Funder

the Xiangya Hospital Funds for Talent Introduction

the Hunan Provincial Hundred Talent Plan

China “863” Plan Project

the National Natural Science Foundation of China

the Hunan Provincial Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry, medical,Health Policy,Drug Discovery

Link

http://link.springer.com/content/pdf/10.1007/s13167-019-00170-5.pdf

Reference44 articles.

1. Torre LA, Trabert B, DeSantis CE. Ovarian cancer statistics. CA Cancer J Clin. 2018;68:284–96. https://doi.org/10.3322/caac.21456 .

2. Golubnitschaja O, Baban B, Boniolo G, Wang W, Bubnov R, Kapalla M, et al. Medicine in the early twenty-first century: paradigm and anticipation - EPMA position paper 2016. EPMA J. 2016;7:23. https://doi.org/10.1186/s13167-016-0072-4 .

3. Lu M, Zhan X. The crucial role of multiomic approach in cancer research and clinically relevant outcomes. EPMA J. 2018;9:77–102. https://doi.org/10.1007/s13167-018-0128-8 .

4. Cheng T, Zhan X. Pattern recognition for predictive, preventive, and personalized medicine in cancer. EPMA J. 2017;8:51–60. https://doi.org/10.1007/s13167-017-0083-9 .

5. Zhan X, Yang H, Peng F, Li J, Mu Y, Long Y, et al. How many proteins can be identified in a 2DE gel spot within an analysis of a complex human cancer tissue proteome? Electrophoresis. 2018;39:965–80. https://doi.org/10.1002/elps.201700330 .

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