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

doi:10.1038/s41467-018-03121-2

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

^*Corresponding author for this work

School of Life Sciences

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

Research output: Contribution to journal › Article › peer-review

241 Scopus citations

Abstract

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.

Original language	English
Article number	1012
Journal	Nature Communications
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41467-018-03121-2
State	Published - 1 Dec 2018

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1038/s41467-018-03121-2

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@article{cdb941005b864f31bd983095877e17b0,

title = "A proteomic landscape of diffuse-type gastric cancer",

abstract = "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.",

author = "Sai Ge and Xia Xia and Chen Ding and Bei Zhen and Quan Zhou and Jinwen Feng and Jiajia Yuan and Rui Chen and Yumei Li and Zhongqi Ge and Jiafu Ji and Lianhai Zhang and Jiayuan Wang and Zhongwu Li and Yumei Lai and Ying Hu and Yanyan Li and Yilin Li and Jing Gao and Lin Chen and Jianming Xu and Chunchao Zhang and Jung, \{Sung Yun\} and Choi, \{Jong Min\} and Antrix Jain and Mingwei Liu and Lei Song and Wanlin Liu and Gaigai Guo and Tongqing Gong and Yin Huang and Yang Qiu and Wenwen Huang and Tieliu Shi and Weimin Zhu and Yi Wang and Fuchu He and Lin Shen and Jun Qin",

note = "Publisher Copyright: {\textcopyright} 2018 The Author(s).",

year = "2018",

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doi = "10.1038/s41467-018-03121-2",

language = "英语",

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Ge, S, Xia, X, Ding, C, Zhen, B, Zhou, Q, Feng, J, Yuan, J, Chen, R, Li, Y, Ge, Z, Ji, J, Zhang, L, Wang, J, Li, Z, Lai, Y, Hu, Y, Li, Y, Li, Y, Gao, J, Chen, L, Xu, J, Zhang, C, Jung, SY, Choi, JM, Jain, A, Liu, M, Song, L, Liu, W, Guo, G, Gong, T, Huang, Y, Qiu, Y, Huang, W, Shi, T, Zhu, W, Wang, Y, He, F, Shen, L & Qin, J 2018, 'A proteomic landscape of diffuse-type gastric cancer', Nature Communications, vol. 9, no. 1, 1012. https://doi.org/10.1038/s41467-018-03121-2

TY - JOUR

T1 - A proteomic landscape of diffuse-type gastric cancer

AU - Ge, Sai

AU - Xia, Xia

AU - Ding, Chen

AU - Zhen, Bei

AU - Zhou, Quan

AU - Feng, Jinwen

AU - Yuan, Jiajia

AU - Chen, Rui

AU - Li, Yumei

AU - Ge, Zhongqi

AU - Ji, Jiafu

AU - Zhang, Lianhai

AU - Wang, Jiayuan

AU - Li, Zhongwu

AU - Lai, Yumei

AU - Hu, Ying

AU - Li, Yanyan

AU - Li, Yilin

AU - Gao, Jing

AU - Chen, Lin

AU - Xu, Jianming

AU - Zhang, Chunchao

AU - Jung, Sung Yun

AU - Choi, Jong Min

AU - Jain, Antrix

AU - Liu, Mingwei

AU - Song, Lei

AU - Liu, Wanlin

AU - Guo, Gaigai

AU - Gong, Tongqing

AU - Huang, Yin

AU - Qiu, Yang

AU - Huang, Wenwen

AU - Shi, Tieliu

AU - Zhu, Weimin

AU - Wang, Yi

AU - He, Fuchu

AU - Shen, Lin

AU - Qin, Jun

PY - 2018/12/1

Y1 - 2018/12/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85045030074

U2 - 10.1038/s41467-018-03121-2

DO - 10.1038/s41467-018-03121-2

M3 - 文章

C2 - 29520031

AN - SCOPUS:85045030074

SN - 2041-1723

VL - 9

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 1012

ER -

A proteomic landscape of diffuse-type gastric cancer

Abstract

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