Multi-omics landscapes of colorectal cancer subtypes discriminated by an individualized prognostic signature for 5-fluorouracil-based chemotherapy

被引:20
作者
Tong, M. [1 ]
Zheng, W. [1 ]
Li, H. [1 ]
Li, X. [1 ]
Ao, L. [1 ]
Shen, Y. [1 ]
Liang, Q. [1 ]
Li, J. [1 ]
Hong, G. [1 ]
Yan, H. [1 ]
Cai, H. [1 ]
Li, M. [1 ]
Guan, Q. [1 ]
Guo, Z. [1 ]
机构
[1] Fujian Med Univ, Dept Bioinformat, Key Lab, Minist Educ Gastrointestinal Canc, Fuzhou 350108, Peoples R China
关键词
COLON-CANCER; GENE-EXPRESSION; ADJUVANT CHEMOTHERAPY; DRUG-RESISTANCE; CELL LINES; PREDICTIVE BIOMARKERS; INTERACTION DATABASE; STAGE-II; APOPTOSIS; THERAPY;
D O I
10.1038/oncsis.2016.51
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Until recently, few prognostic signatures for colorectal cancer (CRC) patients receiving 5-fluorouracil (5-FU)-based chemotherapy could be used in clinical practice. Here, using transcriptional profiles for a panel of cancer cell lines and three cohorts of CRC patients, we developed a prognostic signature based on within-sample relative expression orderings (REOs) of six gene pairs for stage II-III CRC patients receiving 5-FU-based chemotherapy. This REO-based signature had the unique advantage of being insensitive to experimental batch effects and free of the impractical data normalization requirement. After stratifying 184 CRC samples with multi-omics data from The Cancer Genome Atlas into two prognostic groups using the REO-based signature, we further revealed that patients with high recurrence risk were characterized by frequent gene copy number aberrations reducing 5-FU efficacy and DNA methylation aberrations inducing distinct transcriptional alternations to confer 5-FU resistance. In contrast, patients with low recurrence risk exhibited deficient mismatch repair and carried frequent gene mutations suppressing cell adhesion. These results reveal the multi-omics landscapes determining prognoses of stage II-III CRC patients receiving 5-FU-based chemotherapy.
引用
收藏
页码:e242 / e242
页数:11
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