Gene signatures from pancreatic cancer tumor and stromal cells predict disease outcome

被引:0
|
作者
Filippos Kottakis
Nabeel Bardeesy
机构
[1] Filippos Kottakis and Nabeel Bardeesy are at the Center for Cancer Research,and the Department of Medicine
[2] Massachusetts General Hospital,undefined
[3] Boston,undefined
[4] Massachusetts,undefined
[5] USA,undefined
[6] the Center for Regenerative Medicine,undefined
[7] Massachusetts General Hospital,undefined
[8] Boston,undefined
[9] Massachusetts,undefined
[10] USA,undefined
[11] Harvard Medical School,undefined
[12] Boston,undefined
[13] Massachusetts,undefined
[14] USA.,undefined
来源
Nature Genetics | 2015年 / 47卷
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摘要
Pancreatic cancers consist of a heterogeneous amalgam of assorted cell types, making it challenging to develop a classification system that groups these tumors according to common molecular features. A new study tackles this important issue using bioinformatics approaches to decipher gene expression signatures derived specifically from either tumor cells or nonmalignant stromal cells that predict patient outcome and may inform personalized treatments.
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页码:1102 / 1103
页数:1
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