A proteomic landscape of diffuse-type gastric cancer.
A proteomic landscape of diffuse-type gastric cancer.
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弥漫型胃癌的蛋白质组学景观
DOI:
10.1038/s41467-018-03121-2
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发表时间:
2018-03-08
影响因子:
16.6
通讯作者:
Qin J
中科院分区:
文献类型:
--
作者:
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
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. Diffuse-type gastric cancer (DGC) accounts for 30% of gastric cancers and has few treatment options. Here the authors present a mutation and proteome dataset for 84 patients, identifying three major classes of DGC and indicating potential targets for therapy.
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影响因子:
5.8
作者:
Gu, Zuguang;Eils, Roland;Schlesner, Matthias
通讯作者:
Schlesner, Matthias
影响因子:
3.5
作者:
Grochowski CM;Loomes KM;Spinner NB
通讯作者:
Spinner NB
影响因子:
1.2
作者:
Cingolani, Pablo;Platts, Adrian;Ruden, Douglas M.
通讯作者:
Ruden, Douglas M.
DOI:
10.1111/apm.1965.64.1.31
发表时间:
1965-01-01
期刊:
ACTA PATHOLOGICA ET MICROBIOLOGICA SCANDINAVICA
影响因子:
--
作者:
LAUREN, P
通讯作者:
LAUREN, P
影响因子:
4.4
作者:
Lankry, Dikla;Simic, Hrvoje;Mandelboim, Ofer
通讯作者:
Mandelboim, Ofer