Evidence map›Paper›PMID 28493512›Full record

ArticleJournal of clinical laboratory analysis2018

Decreased expression of hsa_circ_0003570 in hepatocellular carcinoma and its clinical significance.

Liyun Fu, Shengdong Wu, Ting Yao, Qingqing Chen, Yi Xie, Sheng Ying, Zhigang Chen, Bingxiu Xiao, Yaoren Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 pooled it
–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

48 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Review
  7. Evaluation of Circular RNA SMARCA5 as a Novel Biomarker for Hepatocellular Carcinoma.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
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  9. Review
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  15. Emerging roles of circular RNAs in liver cancer.JHEP reports : innovation in hepatology · 2022
    Review
  16. Article
  17. Article
  18. Review
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  20. Review on circular RNAs and new insights into their roles in cancer.Computational and structural biotechnology journal · 2021
    Review
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

9 authors.

Liyun FuDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.ORCID http://orcid.org/0000-0001-7025-5162
Shengdong WuDepartment of General Surgery, Li Hui-Li Hospital and the Affiliated Hospital, Medical School of Ningbo University, Ningbo, China.
Ting YaoDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.
Qingqing ChenDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.
Yi XieDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.
Sheng YingDepartment of Hepatology, Ningbo No. 2 Hospital and the Affiliated Hospital, Medical School of Ningbo University, Ningbo, China.
Zhigang ChenDepartment of Hepatology, Ningbo No. 2 Hospital and the Affiliated Hospital, Medical School of Ningbo University, Ningbo, China.
Bingxiu XiaoDepartment of Biochemistry and Molecular Biology, Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.
Yaoren HuDepartment of Hepatology, Ningbo No. 2 Hospital and the Affiliated Hospital, Medical School of Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCircular RNAs (circRNAs) constitute a class of non-coding RNAs recently discovered to be widespread and abundant in mammalian cells. However, the expression features of most of circRNAs in hepatocellular carcinoma (HCC) are unraveled. In this study, we focused on hsa_circ_0003570, which was found to be down-regulated in HCC tissues in our previous microarray screening.

methodsThe hsa_circ_0003570 levels in HCC cell lines, HepG2, SMMC-7721, MHCC97L, MHCC97H, and HCCLM3, and human normal hepatic cell line L02 were detected by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Then, its levels in 107 paired HCC tissues and adjacent non-tumor tissues, 60 liver biopsy samples from patients with chronic liver diseases were detected by qRT-PCR. The receiver operating characteristic curve (ROC) was used to evaluate the diagnostic value of hsa_circ_0003570 for HCC.

resultsHsa_circ_0003570 was not only first found down-regulated in HCC cell lines (P<.001) but also in HCC tissues (P<.001). Moreover, hsa_circ_0003570 was gradually decreased from chronic hepatitis (CH), to liver cirrhosis (LC) and to HCC tissues (P<.01). Its expression levels were significantly correlated with tumor diameter (P=.035), differentiation (P=.013), microvascular invasion (P=.045), Barcelona Clinic Liver Cancer stages (P=.011), tumor-node-metastasis stages (P=.016), and serum alpha-fetoprotein levels (P=.031). The ROC curve demonstrated that hsa_circ_0003570 had poor performance for differentiating HCC from LC and CH, but had relatively good performance for differentiating LC from CH.

conclusionsThese results indicated that hsa_circ_0003570 expression levels were associated with HCC clinicopathological characteristics.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCell Line, TumorFemaleHepatitis, ChronicHumansLiverLiver CirrhosisLiver NeoplasmsMaleMiddle AgedRNARNA, CircularROC CurveBiomarkers, TumorRNARNA, Circularchronic hepatitiscircular RNAcirrhosishepatocellular carcinomahsa_circ_0003570

Identifiers

PMID28493512
PMCPMC6816847

What OpenQuestion holds

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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.