Evidence map›Paper›PMID 25896668›Full record

ArticleBMC cancer2015

Paired design study by real-time PCR: miR-378* and miR-145 are potent early diagnostic biomarkers of human colorectal cancer.

Juan Peng, Zhengyong Xie, Liyang Cheng, Yuxin Zhang, Junyong Chen, Hongping Yu, Zehang Li, Huixing Kang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 21% of its field
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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  20. Depicting the Implication of miR-378a in Cancers.Technology in cancer research & treatment
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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

8 authors at 2 institutions in 1 country.

Juan PengGuilin Medical College, Huang Cheng North 2 Road 109, Qixing District, Guilin, Guangxi, China. dielianhuayaya@163.com.
Zhengyong XieGeneral Hospital of Guangzhou Military Command of PLA, Liuhua Road 111, Guangzhou, Guangdong, China. pwkxiezy@163.com.
Liyang ChengGeneral Hospital of Guangzhou Military Command of PLA, Liuhua Road 111, Guangzhou, Guangdong, China. chliyang2008@sina.com.
Yuxin ZhangGeneral Hospital of Guangzhou Military Command of PLA, Liuhua Road 111, Guangzhou, Guangdong, China. zhangyuxin-53825@163.com.
Junyong ChenGeneral Hospital of Guangzhou Military Command of PLA, Liuhua Road 111, Guangzhou, Guangdong, China. 294821766@qq.com.
Hongping YuGuilin Medical College, Huang Cheng North 2 Road 109, Qixing District, Guilin, Guangxi, China. yhp268@126.com.
Zehang LiGeneral Hospital of Guangzhou Military Command of PLA, Liuhua Road 111, Guangzhou, Guangdong, China. 51812843@qq.com.
Huixing KangGeneral Hospital of Guangzhou Military Command of PLA, Liuhua Road 111, Guangzhou, Guangdong, China. 1367706921@qq.com.
General Hospital of Guangzhou Military Command · CNAffiliated Hospital of Guilin Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough microRNAs offer great potential as cancer biomarkers, effective clinical dignostics and tumor maker have not been verified to diagnose with colorectal cancer (CRC). The purpose of our study is to systematically assess the expression of miRNAs in matched cancer and normal tissue samples to identify promising diagnostic microRNA (miRNA) biomarkers for CRC.

methodsIn our study, we examined by Real-Time PCR the expression levels of 96 mature miRNA in 32 CRC patients with differently expressed tumors versus normal colon tissues. Using enter and stepwise variable selection methods separately, conditional logistic regression was conducted to identify miRNAs associated with CRC. The classification performance of these indicators was assessed under the Fisher discriminant analysis. Receiver operating characteristic curve analyses were applied to obtain diagnostic utility of the differentially expressed miRNAs.

resultsIn this study, we confirmed 11 overexpressed miRNAs with no less than twofold difference, and 85 downexpressed miRNAs with up to 0.5-fold difference in CRC from 96 aberrantly expressed miRNAs being identified by real-time PCR. Conditional logistic regression results confirmed that miRNA-378 and miRNA-145 expression profile was statistically significant. The error diagnosis rate of these two miRNAs are 0.194 and 0.113, separeately, showing by discriminant analysis.

conclusionsMiRNA-145 and miRNA-378* are potential biomarkers for early detection of CRC, which may help in diagnosing CRC in early period.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorColorectal NeoplasmsEarly Detection of CancerFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicroRNAsMiddle AgedNeoplasm StagingBiomarkers, TumorMicroRNAsMIRN145 microRNA, humanMIRN378 microRNA, human

Identifiers

PMID25896668
PMCPMC4436811
OpenAlexW1573967419

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.