Evidence map›Paper›PMID 25814782›Full record

ArticleDisease markers2015

Identification of endogenous controls for analyzing serum exosomal miRNA in patients with hepatitis B or hepatocellular carcinoma.

Yi Li, Liqun Zhang, Fei Liu, Guiming Xiang, Dongneng Jiang, Xiaoyun Pu

Abstract read
In one paragraph

Article in Disease markers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
–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

74 citing papers in PubMed.

  1. Review
  2. Multi-compartment profiling of donor-derived microRNAs during liver graft procurement: a prospective feasibility study.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Article
  3. Article
  4. Serums miR-24-3p and miR-1301-3p as Potential Biomarkers in MEN1 Syndrome.International journal of molecular sciences · 2025
    Article
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14 more citing papers are in PubMed but not listed here.

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

6 authors.

Yi LiDepartment of Clinical Laboratory, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, China.
Liqun ZhangDepartment of Clinical Laboratory, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, China.
Fei LiuDepartment of Clinical Laboratory, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, China.
Guiming XiangDepartment of Clinical Laboratory, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, China.
Dongneng JiangDepartment of Clinical Laboratory, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, China.
Xiaoyun PuDepartment of Clinical Laboratory, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum exosomal microRNAs (miRNAs) have received considerable attention as potential biomarkers for diagnosing cancer. The canonical technique for measuring miRNA transcript levels is reverse transcription quantitative polymerase chain reaction (RT-qPCR). One prerequisite for validating RT-qPCR data is proper normalization with respect to stably expressed endogenous reference genes. However, genes that meet all of the criteria of a control gene for exosomal miRNAs have not yet been identified. To find out the control gene for exosomal miRNAs, we evaluated the expression stability of 11 well-known reference genes in circulating exosomes. In this study, we found that the combination of miR-221, miR-191, let-7a, miR-181a, and miR-26a can be an optimal gene reference set for normalizing the expression of liver-specific miRNAs. This combination enhanced the robustness of the relative quantification analyses. These findings highlight the importance of validating reference genes before quantifying target miRNAs. Furthermore, our findings will improve studies that monitor hepatitis progression and will aid in the discovery of noninvasive biomarkers to diagnose early stage HCC.

Indexed as

AdultCarcinoma, HepatocellularCase-Control StudiesExosomesFemaleHepatitis BHumansLiver NeoplasmsMaleMicroRNAsMiddle AgedReal-Time Polymerase Chain ReactionReference ValuesMicroRNAs

Identifiers

PMID25814782
PMCPMC4357047

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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.