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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D O I：

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中图分类号：

学科分类号：

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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