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A proteomic landscape of diffuse-type gastric cancer

  • Sai Ge
  • , Xia Xia
  • , Chen Ding
  • , Bei Zhen
  • , Quan Zhou
  • , Jinwen Feng
  • , Jiajia Yuan
  • , Rui Chen
  • , Yumei Li
  • , Zhongqi Ge
  • , Jiafu Ji
  • , Lianhai Zhang
  • , Jiayuan Wang
  • , Zhongwu Li
  • , Yumei Lai
  • , Ying Hu
  • , Yanyan Li
  • , Yilin Li
  • , Jing Gao
  • , Lin Chen
  • Jianming Xu, Chunchao Zhang, Sung Yun Jung, Jong Min Choi, Antrix Jain, Mingwei Liu, Lei Song, Wanlin Liu, Gaigai Guo, Tongqing Gong, Yin Huang, Yang Qiu, Wenwen Huang, Tieliu Shi, Weimin Zhu, Yi Wang, Fuchu He*, Lin Shen, Jun Qin
*此作品的通讯作者
  • Peking University
  • Fudan University
  • East China Normal University
  • Baylor College of Medicine
  • General Hospital of People's Liberation Army
  • Academy of Military Medical Science China

科研成果: 期刊稿件文章同行评审

摘要

The diffuse-type gastric cancer (DGC) is a subtype of gastric cancer with the worst prognosis and few treatment options. Here we present a dataset from 84 DGC patients, composed of a proteome of 11,340 gene products and mutation information of 274 cancer driver genes covering paired tumor and nearby tissue. DGC can be classified into three subtypes (PX1-3) based on the altered proteome alone. PX1 and PX2 exhibit dysregulation in the cell cycle and PX2 features an additional EMT process; PX3 is enriched in immune response proteins, has the worst survival, and is insensitive to chemotherapy. Data analysis revealed four major vulnerabilities in DGC that may be targeted for treatment, and allowed the nomination of potential immunotherapy targets for DGC patients, particularly for those in PX3. This dataset provides a rich resource for information and knowledge mining toward altered signaling pathways in DGC and demonstrates the benefit of proteomic analysis in cancer molecular subtyping.

源语言英语
文章编号1012
期刊Nature Communications
9
1
DOI
出版状态已出版 - 1 12月 2018

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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