Transcriptional Profiles from Paired Normal Samples Offer Complementary Information on Cancer Patient Survival - Evidence from TCGA Pan-Cancer Data

被引:85
作者
Huang, Xiu [1 ]
Stern, David F. [2 ]
Zhao, Hongyu [1 ,3 ]
机构
[1] Yale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USA
[2] Yale Univ, Sch Med, Dept Pathol, 333 Cedar St, New Haven, CT 06520 USA
[3] Yale Univ, Sch Publ Hlth, Dept Biostat, New Haven, CT 06520 USA
关键词
EXPRESSION; NETWORK; GENES; RNA;
D O I
10.1038/srep20567
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
Although normal tissue samples adjacent to tumors are sometimes collected from patients in cancer studies, they are often used as normal controls to identify genes differentially expressed between tumor and normal samples. However, it is in general more difficult to obtain and clearly define paired normal samples, and whether these samples should be treated as "normal" due to their close proximity to tumors. In this article, by analyzing the accrued data in The Cancer Genome Atlas (TCGA), we show the surprising results that the paired normal samples are in general more informative on patient survival than tumors. Different lines of evidence suggest that this is likely due to tumor micro-environment instead of tumor cell contamination or field cancerization effect. Pathway analyses suggest that tumor micro-environment may play an important role in cancer patient survival either by boosting the adjacent metabolism or the in situ immunization. Our results suggest the potential benefit of collecting and profiling matched normal tissues to gain more insights on disease etiology and patient progression.
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页数:9
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