Evidence map›Paper›PMID 29156844›Full record

ArticleOncotarget2017

A three-microRNA signature for lung squamous cell carcinoma diagnosis in Chinese male patients.

Lan Zhang, Xia Shan, Jun Wang, Jun Zhu, Zebo Huang, Huo Zhang, Xin Zhou, Wenfang Cheng, Yongqian Shu, Wei Zhu and 1 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

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  14. MicroRNA profiling in serum: Potential signatures for breast cancer diagnosis.Cancer biomarkers : section A of Disease markers · 2021
    Article
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  16. Article
  17. Review
  18. Circulating plasma microRNA signature for the diagnosis of cervical cancer.Cancer biomarkers : section A of Disease markers · 2019
    Article
  19. A Strong Decrease inFrontiers in oncology · 2019
    Article
  20. Article
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

11 authors at 3 institutions in 1 country.

Lan ZhangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, PR China.
Xia ShanDepartment of Respiration, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 210000, PR China.
Jun WangDepartment of Thoracic Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, PR China.
Jun ZhuDepartment of Radiation Oncology, Jiangsu Cancer Hospital, Nanjing 210009, PR China.
Zebo HuangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, PR China.
Huo ZhangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, PR China.
Xin ZhouDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, PR China.
Wenfang ChengDepartment of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, PR China.
Yongqian ShuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, PR China.
Wei ZhuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, PR China.
Ping LiuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, PR China.
Jiangsu Province Hospital · CNNanjing Medical University · CNJiangsu Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various studies have demonstrated the diagnostic value of microRNA (miRNA) for lung cancer, but miRNA signatures varied between different subtypes. Whether serum miRNAs could be used as biomarkers in lung squamous cell carcinoma (SCC) remains unknown. Using quantitative real-time polymerase chain reaction (qRT-PCR) based Exiqon panel, 38 differentially expressed miRNAs were identified from 3 male lung SCC pool samples and 1 normal control (NC) pool in the initial screening phase. After the training (24 SCC VS. 15 NCs), testing (44 SCC VS. 57 NCs) and external validation (34 SCC VS. 36 NCs VS. 10 pulmonary hamartoma) processes via qRT-PCR, we identified a three-miRNA panel ((miR-106a-5p, miR-20a-5p and miR-93-5p) to be a potential diagnostic marker for male lung SCC patients. The areas under the receiver operating characteristic (ROC) curve of the three-miRNA panel for the training, testing and validation phases were 0.969, 0.881 and 0.954 respectively. In addition, this signature could also differentiate lung SCC from pulmonary hamartoma (AUC=0.900). The 3 miRNAs were consistently up-regulated in lung SCC tissues (23 SCC VS. 23 NCs) and serum exosomes (17 SCC VS. 24 NCs). Moreover, expression of the 3 miRNAs was decreased in arterial serum (n = 3). In conclusion, we established a three-miRNA signature in the peripheral serum with considerable clinical value in the diagnosis of male lung SCC patients.

Indexed as

diagnostic biomarkerlung SCCqRT-PCRserum microRNA

Identifiers

PMID29156844
PMCPMC5689734
OpenAlexW2741343956

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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.