Evidence map›Paper›PMID 34163524›Full record

ArticleFrontiers in genetics2021

Expression and Diagnostic Value of miR-497 and miR-1246 in Hepatocellular Carcinoma.

Shuying Chen, Zile Fu, Shuzhan Wen, Xiaoyi Yang, Chengxuan Yu, Wenhan Zhou, Yong Lin, Yuan Lv

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 pooled it
2.1field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 4 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. A Meta-Analysis of MiRNA-497 and Prognosis of Hepatocellular Carcinoma.Canadian journal of gastroenterology & hepatology · 2024
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. [Research advances in occurrence risk assessment and early-stage diagnosis of hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Target gene regulatory network of miR-497 in angiosarcoma.bioRxiv : the preprint server for biology · 2023
    Article
  18. Article
  19. Review
  20. 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

8 authors at 4 institutions in 1 country.

Shuying ChenDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Zile FuShanghai Medical College, Fudan University, Shanghai, China.
Shuzhan WenShanghai Medical College, Fudan University, Shanghai, China.
Xiaoyi YangSchool of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Chengxuan YuSchool of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Wenhan ZhouShanghai Medical College, Fudan University, Shanghai, China.
Yong LinDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Yuan LvDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Shanghai Medical College of Fudan University · CNHuashan Hospital · CNShanghai Jiao Tong University · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSerum microRNAs (miRNAs) may serve as biomarkers in various cancers. Our study aims to explore the roles of miR-497 and miR-1246 in hepatocellular carcinoma (HCC).

methodsThe expression levels of miR-497 and miR-1246 were measured by RT-PCR. A correlation analysis was conducted between the expression levels of miR-497 and miR-1246 and clinicopathological characteristics of patients. The receiver operating characteristic (ROC) curve was applied to evaluate the diagnostic efficacy in HCC. In addition, bioinformatics tools were also utilized to predict the potential targets of miR-497 and miR-1246.

resultsThe expression level of miR-497 in HCC was significantly down-regulated compared with the control group while the miR-1246 revealed a significantly higher expression level in HCC. There was a significant correlation demonstrated between the expression levels of miR-497 and miR-1246 in preoperative serum of HCC and the differentiation degree, Tumor Node Metastasis (TNM) classification, and metastasis. The expression levels of serum miR-497 and miR-1246 were significantly associated with the diagnosis, prognosis, and overall survival rate of patients with HCC. Moreover, the potential target genes of miR-497 in HCC include ARL2, UBE2Q1, PHF19, APLN, CHEK1, CASK, SUCO, CCNE1, and KIF23. The low expression of these nine genes is associated with a better prognosis of HCC patients. AUTS2 is a novel target gene of miR-1246, and its low expression is significantly related to the low overall survival rate of HCC patients.

conclusionsmiR-497 and miR-1246 are possibly involved in the progression of HCC by regulating target genes, respectively, and could serve as biomarkers in HCC.

Indexed as

biomarkerdiagnostic valuehepatocellular carcinomamicroRNA-1246microRNA-497target genes

Identifiers

PMID34163524
PMCPMC8215616
OpenAlexW3167475167

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.