Open AccessSerum micro RNA signatures and metabolomics have high diagnostic value in colorectal cancer using two novel methods
Author(s) -
Liu HaiNing,
Liu TaoTao,
Wu Hao,
Chen YanJie,
Tseng YuJen,
Yao Can,
Weng ShuQiang,
Dong Ling,
Shen XiZhong
Publication year - 2018
Publication title -
cancer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.035
H-Index - 141
eISSN - 1349-7006
pISSN - 1347-9032
DOI - 10.1111/cas.13514
Subject(s) - carcinoembryonic antigen , colorectal cancer , rna , microrna , receiver operating characteristic , diagnostic biomarker , metabolomics , medicine , cancer , oncology , diagnostic model , multivariate analysis , area under the curve , biomarker , bioinformatics , biology , biochemistry , data mining , gene , computer science
Recently, many new diagnostic biomarkers have been developed for colorectal cancer. We chose 2 methods with high diagnostic efficiency, the detection of serum micro RNA and metabolomics based on gas chromatography/mass spectrometry ( GC / MS ), and aimed to establish appropriate models. We reviewed the diagnostic value of all micro RNA identified by previous diagnostic tests. We selected appropriate micro RNA to validate their diagnostic efficiency, and determined the optimal combination. We included 85 patients with colorectal cancer ( CRC ) and 78 healthy controls ( HC ) and detected the expression of the micro RNA . GC / MS analysis was conducted, and we used 3 multivariate statistical methods to establish diagnostic models. The concentrations of carcinoembryonic antigen ( CEA ) and carbohydrate antigen 19‐9 ( CA 19‐9) were detected for comparison with the novel models. Ultimately, 62 published studies and 63 micro RNA were included in this review. MiR‐21, miR‐29a, miR‐92a, miR‐125b and miR‐223 were selected to further validate their diagnostic value. The serum levels of the 5 micro RNA in CRC patients were significantly higher than those in the HC . The combination of miR‐21, miR‐29a, miR‐92a and miR‐125b had the highest area under the curve ( AUC ) at 0.952, with a sensitivity of 84.7% and a specificity of 98.7%. The GC / MS analysis exhibited an excellent diagnostic value and the AUC reached 1.0. With regard to traditional biomarkers, the AUC of CEA and CA 19‐9 were 0.808 and 0.705, respectively. The application prospects are good for micro RNA and metabolomics as new diagnostic methods because of their high diagnostic value compared with traditional biomarkers.