Integrative proteomics in prostate cancer uncovers robustness against genomic and transcriptomic aberrations during disease progression

被引:125
作者
Latonen, Leena [1 ,2 ,3 ]
Afyounian, Ebrahim [1 ,2 ]
Jylha, Antti [4 ]
Nattinen, Janika [4 ]
Aapola, Ulla [4 ]
Annala, Matti [1 ,2 ]
Kivinummi, Kati K. [1 ,2 ]
Tammela, Teuvo T. L. [5 ,6 ]
Beuerman, Roger W. [4 ,7 ,8 ,9 ,10 ]
Uusitalo, Hannu [4 ,11 ]
Nykter, Matti [1 ,2 ,12 ]
Visakorpi, Tapio [1 ,2 ,3 ]
机构
[1] Univ Tampere, Fac Med & Life Sci, Prostate Canc Res Ctr, Tampere 33014, Finland
[2] Univ Tampere, BioMediTech Inst, Tampere 33014, Finland
[3] Tampere Univ Hosp, FimLab Labs, Tampere 33101, Finland
[4] Univ Tampere, Fac Med & Life Sci, Dept Ophthalmol, Tampere 33014, Finland
[5] Univ Tampere, Dept Urol, Tampere 33521, Finland
[6] Tampere Univ Hosp, Tampere 33521, Finland
[7] Singapore Eye Res Inst, Singapore 169856, Singapore
[8] Duke NUS Neurosci, Singapore 169857, Singapore
[9] Duke NUS Med Sch, Ophthalmol & Visual Sci Acad Clin Program, Singapore 169857, Singapore
[10] Natl Univ Singapore, Yong Loo Lin Med Sch, Ophthalmol, Singapore 119228, Singapore
[11] Tampere Univ Hosp, Tays Eye Ctr, Tampere 33521, Finland
[12] Tampere Univ Hosp, Sci Ctr, Tampere 33521, Finland
基金
芬兰科学院;
关键词
PROTEOGENOMIC CHARACTERIZATION; MITOCHONDRIAL ACONITASE; RNA; METABOLISM; MUTATIONS;
D O I
10.1038/s41467-018-03573-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
To understand functional consequences of genetic and transcriptional aberrations in prostate cancer, the proteomic changes during disease formation and progression need to be revealed. Here we report high-throughput mass spectrometry on clinical tissue samples of benign prostatic hyperplasia (BPH), untreated primary prostate cancer (PC) and castration resistant prostate cancer (CRPC). Each sample group shows a distinct protein profile. By integrative analysis we show that, especially in CRPC, gene copy number, DNA methylation, and RNA expression levels do not reliably predict proteomic changes. Instead, we uncover previously unrecognized molecular and pathway events, for example, several miRNA target correlations present at protein but not at mRNA level. Notably, we identify two metabolic shifts in the citric acid cycle (TCA cycle) during prostate cancer development and progression. Our proteogenomic analysis uncovers robustness against genomic and transcriptomic aberrations during prostate cancer progression, and significantly extends understanding of prostate cancer disease mechanisms.
引用
收藏
页数:13
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