Evidence map›Paper›PMID 29363233›Full record

ArticleCancer science2018

Serum microRNA signatures and metabolomics have high diagnostic value in colorectal cancer using two novel methods.

Hai-Ning Liu, Tao-Tao Liu, Hao Wu, Yan-Jie Chen, Yu-Jen Tseng, Can Yao, Shu-Qiang Weng, Ling Dong, Xi-Zhong Shen

Abstract read
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hai-Ning LiuDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-7548-6269
Tao-Tao LiuDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai, China.
Hao WuDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai, China.
Yan-Jie ChenDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai, China.
Yu-Jen TsengDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai, China.
Can YaoDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai, China.
Shu-Qiang WengDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai, China.
Ling DongDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai, China.
Xi-Zhong ShenDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-3748-0709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, many new diagnostic biomarkers have been developed for colorectal cancer. We chose 2 methods with high diagnostic efficiency, the detection of serum microRNA and metabolomics based on gas chromatography/mass spectrometry (GC/MS), and aimed to establish appropriate models. We reviewed the diagnostic value of all microRNA identified by previous diagnostic tests. We selected appropriate microRNA 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 microRNA. 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 (CA19-9) were detected for comparison with the novel models. Ultimately, 62 published studies and 63 microRNA 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 microRNA 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 CA19-9 were 0.808 and 0.705, respectively. The application prospects are good for microRNA and metabolomics as new diagnostic methods because of their high diagnostic value compared with traditional biomarkers.

Indexed as

AdultArea Under CurveBiomarkers, TumorCA-19-9 AntigenCase-Control StudiesColorectal NeoplasmsEarly Detection of CancerFemaleHumansMaleMetabolomeMetabolomicsMicroRNAsMiddle AgedSensitivity and SpecificityBiomarkers, TumorCA-19-9 AntigenMicroRNAscolorectal neoplasmsdiagnostic testgas chromatography/massmetabolomicsspectrometry meta-analysis

Identifiers

PMID29363233
PMCPMC5891204

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.