Examination of Independent Prognostic Power of Gene Expressions and Histopathological Imaging Features in Cancer

doi:10.3390/cancers11030361

CORC > 上海财经大学 > 上海财经大学

	Examination of Independent Prognostic Power of Gene Expressions and Histopathological Imaging Features in Cancer
	Zhong, Tingyan 1; Wu, Mengyun 2; Ma, Shuangge 3
刊名	CANCERS
	2019-03
卷号	11 期号:3
关键词	cancer prognosis independent prognostic power omics profiles histopathological imaging features
ISSN号	2072-6694
DOI	10.3390/cancers11030361
英文摘要	Cancer prognosis is of essential interest, and extensive research has been conducted searching for biomarkers with prognostic power. Recent studies have shown that both omics profiles and histopathological imaging features have prognostic power. There are also studies exploring integrating the two types of measurements for prognosis modeling. However, there is a lack of study rigorously examining whether omics measurements have independent prognostic power conditional on histopathological imaging features, and vice versa. In this article, we adopt a rigorous statistical testing framework and test whether an individual gene expression measurement can improve prognosis modeling conditional on high-dimensional imaging features, and a parallel analysis is conducted reversing the roles of gene expressions and imaging features. In the analysis of The Cancer Genome Atlas (TCGA) lung adenocarcinoma and liver hepatocellular carcinoma data, it is found that multiple individual genes, conditional on imaging features, can lead to significant improvement in prognosis modeling; however, individual imaging features, conditional on gene expressions, only offer limited prognostic power. Being among the first to examine the independent prognostic power, this study may assist better understanding the "connectedness" between omics profiles and histopathological imaging features and provide important insights for data integration in cancer modeling.
WOS研究方向	Oncology
语种	英语
出版者	MDPI
WOS记录号	WOS:000468550200091
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/2796]
专题	上海财经大学
作者单位	1.Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Dept Bioinformat & Biostat, SJTU Yale Joint Ctr Biostat, Shanghai 200240, Peoples R China; 2.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China; 3.Yale Univ, Dept Biostat, New Haven, CT 06520 USA
推荐引用方式 GB/T 7714	Zhong, Tingyan,Wu, Mengyun,Ma, Shuangge. Examination of Independent Prognostic Power of Gene Expressions and Histopathological Imaging Features in Cancer[J]. CANCERS,2019,11(3).
APA	Zhong, Tingyan,Wu, Mengyun,&Ma, Shuangge.(2019).Examination of Independent Prognostic Power of Gene Expressions and Histopathological Imaging Features in Cancer.CANCERS,11(3).
MLA	Zhong, Tingyan,et al."Examination of Independent Prognostic Power of Gene Expressions and Histopathological Imaging Features in Cancer".CANCERS 11.3(2019).