Evidence map›Paper›PMID 27156077›Full record

ReviewDigestive diseases and sciences2016

Oncomirs miRNA-221/222 and Tumor Suppressors miRNA-199a/195 Are Crucial miRNAs in Liver Cancer: A Systematic Analysis.

Yanhu Li, Chunhong Di, Wen Li, Weibin Cai, Xiaohua Tan, Liangwen Xu, Lei Yang, Guoqiang Lou, Yutao Yan

Erratum issuedOpen access · hybridAbstract readReview
In one paragraph

Review in Digestive diseases and sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. MicroRNA and liver cancer.Cancer drug resistance (Alhambra, Calif.) · 2020
    Review
  13. Article
  14. Review
  15. Article
  16. Article
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  19. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Yanhu LiCollege of Life Science, Shihezi University, 48 Dongmingxin St., Urumqi, 830011, Xinjiang, People's Republic of China.
Chunhong DiAffiliated Hospital, Hangzhou Normal University, 126 Wenzhou St., Hangzhou, 310015, Zhejiang, People's Republic of China.
Wen LiIHRC Inc., 2 Ravinia Drive, Suite 1750, Atlanta, GA, 30346, USA.
Weibin CaiAffiliated Hospital, Hangzhou Normal University, 126 Wenzhou St., Hangzhou, 310015, Zhejiang, People's Republic of China.
Xiaohua TanAffiliated Hospital, Hangzhou Normal University, 126 Wenzhou St., Hangzhou, 310015, Zhejiang, People's Republic of China.
Liangwen XuAffiliated Hospital, Hangzhou Normal University, 126 Wenzhou St., Hangzhou, 310015, Zhejiang, People's Republic of China.
Lei YangAffiliated Hospital, Hangzhou Normal University, 126 Wenzhou St., Hangzhou, 310015, Zhejiang, People's Republic of China.
Guoqiang LouAffiliated Hospital, Hangzhou Normal University, 126 Wenzhou St., Hangzhou, 310015, Zhejiang, People's Republic of China. Louguoqiang2012@126.com.
Yutao YanAffiliated Hospital, Hangzhou Normal University, 126 Wenzhou St., Hangzhou, 310015, Zhejiang, People's Republic of China. yutaoyan@yahoo.com.
Affiliated Hospital of Hangzhou Normal University · CNHangzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe high mortality rate of hepatocellular carcinoma (HCC) is partly due to a lack of good diagnostic markers and treatment strategies. Recently, several microRNA (miRNA) profiling studies were conducted with HCC; however, their inconsistency means that their diagnostic or therapeutic value is debatable.

aimsThis study aims to systematically evaluate the consistency of miRNAs from multiple independent studies.

methodsA systematic analysis of miRNAs from eligible publications was conducted, followed by real-time PCRs. The targets of highly consistent miRNAs were collected using online programs, followed by enrichment analyses for gene ontology terms and Kyoto encyclopedia of genes and genomes pathways.

resultsIn total, 241 differentially expressed miRNAs were reported in 13 HCC profiling studies, of which 137 were upregulated and 104 downregulated. Among consistently upregulated miRNAs (cutoff > fourfold), miRNA-222, miRNA-21, miRNA-221, miRNA-210, and miRNA-224 were found increased in 8, 6, 6, 5, and 5 different studies, respectively. Among 137 downregulated miRNAs, miRNA-195, miRNA-199a, miRNA-125b, and miRNA-99a were reported in 8, 8, 5, and 5 studies, respectively. These results were confirmed by real-time PCR. Enrichment analyses demonstrated that programmed cell death and proliferation play important roles during the interplay of miRNA with HCC.

conclusionsmiRNAs most consistently related to HCC are oncomirs miRNA-221/222 and tumor suppressors miRNA-199a/195.

Indexed as

ApoptosisCarcinoma, HepatocellularCell ProliferationHumansLiver NeoplasmsMicroRNAsMicroRNAsMIR221, humanMIR222, humanMIRN195 microRNA, humanmirn199 microRNA, humanMIRN21 microRNA, humanMIRN224 microRNA, humanMIRN99 microRNA, humanDifferential expressionHepatocellular carcinomamiRNASystematic study

Identifiers

PMID27156077
PMCPMC4943968
OpenAlexW2346222029

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.