Evidence map›Paper›PMID 28404964›Full record

ArticleOncotarget2017

Identification of serum miR-139-3p as a non-invasive biomarker for colorectal cancer.

Lui Ng, Timothy Ming-Hun Wan, Johnny Hon-Wai Man, Ariel Ka-Man Chow, Deepak Iyer, Guanghua Chen, Thomas Chung-Cheung Yau, Oswens Siu-Hung Lo, Dominic Chi-Chung Foo, Jensen Tung-Chung Poon and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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  13. Novel Diagnostic Biomarkers in Colorectal Cancer.International journal of molecular sciences · 2022
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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

13 authors at 2 institutions in 2 countries.

Lui NgDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Timothy Ming-Hun WanDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Johnny Hon-Wai ManDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Ariel Ka-Man ChowDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Deepak IyerDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Guanghua ChenDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Thomas Chung-Cheung YauCentre for Cancer Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Oswens Siu-Hung LoDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Dominic Chi-Chung FooDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Jensen Tung-Chung PoonDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Wai-Keung LeungDepartment of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Roberta Wen-Chi PangDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Wai-Lun LawDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
University of Hong Kong · HKChinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant levels of circulating microRNAs are potential biomarkers for the early detection of colorectal cancer. The aim of this study was to study miR-139-3p and miR-622 in serum as a non-invasive biomarker for colorectal cancer diagnosis. We applied quantitative polymerase chain reaction to determine the levels of miR-139-3p and miR-622 in 42 pairs of tumor and adjacent non-tumor tissues, and in serum samples of 117 patients and 90 control subjects. Our results showed that miR-139-3p was silenced whereas miR-622 was overexpressed in colorectal cancer. Similarly, serum miR-139-3p level was significantly lower in colorectal cancer patients than in control subjects whereas miR-622 was more frequently detectable in patients. ROC analysis showed that AUC of miR-139-3p was 0.9935, with a sensitivity of 96.6% and specificity of 97.8%. Serum miR-139-3p level showed high sensitivity and specificity for both early and late stage CRCs and proximal and distal CRCs. Detectable serum miR-622 showed a sensitivity of 87.5% and specificity of 63.5% for discriminating CRC patients, but the sensitivity dropped for late stage patients (72.7%). We also included analyses of the blood CEA level for comparing the diagnostic performance of these blood-based biomarkers. The median level in CRC patients (3.6 ng/ml) was significantly higher than that in control (1.8 ng/ml). The AUC value of CEA in diagnosing CRC patients was 0.7515. CEA showed a positive correlation with tumor stage and age of patients and its level was higher in male. Collectively, serum miR-139-3p has strong potential as a promising non-invasive biomarker in colorectal cancer detection.

Indexed as

Biomarkers, TumorAdultAgedCase-Control StudiesColorectal NeoplasmsEarly Detection of CancerFemaleGene Expression ProfilingHumansLiquid BiopsyMaleMicroRNAsMiddle AgedNeoplasm MetastasisNeoplasm StagingROC CurveBiomarkers, TumorMicroRNAsMIRN139 microRNA, humanMIRN622 microRNA, humanbiomarkerCRCmiR-139-3pmiR-622miRNA

Identifiers

PMID28404964
PMCPMC5432343
OpenAlexW2600564204

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.