Integrative molecular concept modeling of prostate cancer progression

被引:712
|
作者
Tomlins, Scott A.
Mehra, Rohit
Rhodes, Daniel R.
Cao, Xuhong
Wang, Lei
Dhanasekaran, Saravana M.
Kalyana-Sundaram, Shanker
Wei, John T.
Rubin, Mark A.
Pienta, Kenneth J.
Shah, Rajal B.
Chinnaiyan, Arul M. [1 ]
机构
[1] Univ Michigan, Sch Med, Dept Pathol, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Med, Ctr Comprehens Canc, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Sch Med, Bioinformat Program, Ann Arbor, MI 48109 USA
[4] Univ Michigan, Sch Med, Dept Urol, Ann Arbor, MI 48109 USA
[5] Harvard Univ, Sch Med, Dana Farber Canc Inst, Boston, MA 02115 USA
[6] Brigham & Womens Hosp, Dept Pathol, Boston, MA 02115 USA
[7] Univ Michigan, Sch Med, Dept Internal Med, Ann Arbor, MI 48109 USA
关键词
D O I
10.1038/ng1935
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Despite efforts to profile prostate cancer, the genetic alterations and biological processes that correlate with the observed histological progression are unclear. Using laser-capture microdissection to isolate 101 cell populations, we have profiled prostate cancer progression from benign epithelium to metastatic disease. By analyzing expression signatures in the context of over 14,000 'molecular concepts', or sets of biologically connected genes, we generated an integrative model of progression. Molecular concepts that demarcate critical transitions in progression include protein biosynthesis, E26 transformation-specific (ETS) family transcriptional targets, androgen signaling and cell proliferation. Of note, relative to low-grade prostate cancer (Gleason pattern 3), high-grade cancer (Gleason pattern 4) shows an attenuated androgen signaling signature, similar to metastatic prostate cancer, which may reflect dedifferentiation and explain the clinical association of grade with prognosis. Taken together, these data show that analyzing gene expression signatures in the context of a compendium of molecular concepts is useful in understanding cancer biology.
引用
收藏
页码:41 / 51
页数:11
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