Evidence map›Paper›PMID 25202432›Full record

ArticleOncology letters2014

Identification of suitable reference genes for the relative quantification of microRNAs in pleural effusion.

Hye-Suk Han, Yeong Nang Jo, Jin Yong Lee, Song-Yi Choi, Yusook Jeong, Jieun Yun, Ok-Jun Lee

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.3field-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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Recent Advances in Biomonitoring of Gas Station Workers: A Systematic Review.Asian Pacific journal of cancer prevention : APJCP · 2024
    Pooled it
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  8. Review
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  16. MicroRNAs - novel biomarkers for malignant pleural effusions.Contemporary oncology (Poznan, Poland) · 2019
    Review
  17. Article
  18. Article
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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

7 authors at 3 institutions in 1 country.

Hye-Suk HanDepartment of Internal Medicine, College of Medicine, Chungbuk National University, Cheongju 361-763, Republic of Korea.
Yeong Nang JoBioevaluation Center, Korea Research Institute of Bioscience and Biotechnology, Cheongwon 363-883, Republic of Korea.
Jin Yong LeePublic Health Medical Service, SMG-SNU Boramae Medical Center, Seoul 156-707, Republic of Korea.
Song-Yi ChoiDepartment of Pathology, College of Medicine, Chungbuk National University, Cheongju 361-763, Republic of Korea.
Yusook JeongDepartment of Internal Medicine, College of Medicine, Chungbuk National University, Cheongju 361-763, Republic of Korea.
Jieun YunBioevaluation Center, Korea Research Institute of Bioscience and Biotechnology, Cheongwon 363-883, Republic of Korea.
Ok-Jun LeeDepartment of Pathology, College of Medicine, Chungbuk National University, Cheongju 361-763, Republic of Korea.
Chungbuk National University · KRKorea Research Institute of Bioscience and Biotechnology · KRSNUH SMG-SNU Boramae Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating cell-free microRNAs (miRNAs) are potential biomarkers of cancer. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is widely used in miRNA expression studies. The aim of this study was to identify suitable reference genes for RT-qPCR analyses of miRNA expression levels in pleural effusion. The expression levels of candidate reference miRNAs were investigated in 10 benign pleural effusion (BPE) and 10 lung adenocarcinoma-associated malignant pleural effusion (LA-MPE) samples using miRNA microarrays. The expression levels of candidate reference miRNAs, together with those of U6 small nuclear RNA (snRNA), RNU6B, RNU44 and RNU48 small RNAs, in 46 BPE and 45 LA-MPE samples were validated by RT-qPCR, and were analyzed using the NormFinder and BestKeeper algorithms. The impact of different normalization approaches on the detection of differential expression levels of miR-198 in BPE and LA-MPE samples was also assessed. As determined by the miRNA microarray data, five candidate reference miRNAs were identified. Following RT-qPCR validation, U6 snRNA, miR-192, miR-20a, miR-221, miR-222 and miR-16 were evaluated using the NormFinder and BestKeeper software programs. U6 snRNA and miR-192 were identified as single reference genes and the combination of these genes was preferred for the relative quantification of miRNA expression levels in pleural effusion. Normalization of miR-98 expression levels to those of U6 snRNA, miR-192 or a combination of these genes enabled the detection of a significant difference between BPE and LA-MPE samples. Therefore, U6 snRNA and miR-192 are recommended as reference genes for the relative quantification of miRNA expression levels in pleural effusion.

Indexed as

microRNAspleural effusionreference

Identifiers

PMID25202432
PMCPMC4156210
OpenAlexW1999718397

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.