Pattern recognition for predictive, preventive, and personalized medicine in cancer

被引：94
作者：
Cheng, Tingting [1 ,2 ,3 ]
Zhan, Xianquan [1 ,2 ,3 ,4 ]
机构：
[1] Cent S Univ, Xiangya Hosp, Chinese Ministry Hlth, Key Lab Canc Prote, 87 Xiangya Rd, Changsha 410008, Hunan, Peoples R China
[2] Cent S Univ, Xiangya Hosp, Hunan Engn Lab Struct Biol & Drug Design, 87 Xiangya Rd, Changsha 410008, Hunan, Peoples R China
[3] Cent S Univ, Xiangya Hosp, State Local Joint Engn Lab Anticancer Drugs, 87 Xiangya Rd, Changsha 410008, Hunan, Peoples R China
[4] Cent S Univ, State Key Lab Med Genet, 88 Xiangya Rd, Changsha 410008, Hunan, Peoples R China
来源：
EPMA JOURNAL | 2017年 / 8卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Pattern recognition; Predictive preventive personalized medicine; Genomics; Transcriptomics; Proteomics; Peptidomics; Metabolomics; Radiomics; Systems biology; CIRCULATING NUCLEIC-ACIDS; LONG NONCODING RNAS; BREAST-CANCER; COLORECTAL-CANCER; NASOPHARYNGEAL CARCINOMA; POTENTIAL BIOMARKER; CLINICAL BIOMARKERS; GENETIC-VARIATION; LUNG-CANCER; COPY NUMBER;
D O I：
10.1007/s13167-017-0083-9
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Predictive, preventive, and personalized medicine (PPPM) is the hot spot and future direction in the field of cancer. Cancer is a complex, whole-body disease that involved multi-factors, multi-processes, and multi-consequences. A series of molecular alterations at different levels of genes (genome), RNAs (transcriptome), proteins (proteome), peptides (peptidome), metabolites (metabolome), and imaging characteristics (radiome) that resulted from exogenous and endogenous carcinogens are involved in tumorigenesis and mutually associate and function in a network system, thus determines the difficulty in the use of a single molecule as biomarker for personalized prediction, prevention, diagnosis, and treatment for cancer. A key molecule-panel is necessary for accurate PPPM practice. Pattern recognition is an effective methodology to discover key molecule-panel for cancer. The modern omics, computation biology, and systems biology technologies lead to the possibility in recognizing really reliable molecular pattern for PPPM practice in cancer. The present article reviewed the pathophysiological basis, methodology, and perspective usages of pattern recognition for PPPM in cancer so that our previous opinion on multi-parameter strategies for PPPM in cancer is translated into real research and development of PPPM or precision medicine (PM) in cancer.
引用
收藏
页码：51 / 60
页数：10
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