Evidence map›Paper›PMID 31640738›Full record

SynthesisJournal of translational medicine2019

Prognostic values of microRNA-130 family expression in patients with cancer: a meta-analysis and database test.

Zhen Peng, Fujiao Duan, Jingjing Yin, Yajing Feng, Zhongyu Yang, Jia Shang

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Circulating MicroRNAs as Cancer Biomarkers in Liquid Biopsies.Advances in experimental medicine and biology · 2022
    Review
  5. Deciphering the role of microRNAs in mustard gas-induced toxicity.Annals of the New York Academy of Sciences · 2021
    Review
  6. Review
  7. Article
  8. NGF/TRKA Decrease miR-145-5p Levels in Epithelial Ovarian Cancer Cells.International journal of molecular sciences · 2020
    Article
  9. Review
  10. 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

6 authors.

Zhen PengDepartment of Infectious Disease, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, 450003, China. 18203685921@163.com.
Fujiao DuanMedical Research Office, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, China. fjduan@126.com.ORCID 0000-0002-5731-5463
Jingjing YinCollege of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Yajing FengDepartment of Nosocomial Infection Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Zhongyu YangCollege of Art and Science, The Ohio State University, Columbus, OH, USA.
Jia ShangDepartment of Infectious Disease, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, 450003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging evidence shows that microRNA-130 (miRNA-130) family may be useful as prognostic biomarkers in cancer. However, there is no confirmation in an independent validation study. The aim of this study was to summarize the prognostic value of miRNA-130 family (miRNA-130a and miRNA-130b) for survival in patients with cancer.

methodsThe pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to estimate the association strength between miRNA-130 family expression and prognosis. Kaplan-Meier plotters were used to verify the miRNA-130b expression and overall survival (OS).

resultsA total of 2141 patients with OS and 1159 patients with disease-free survival (DFS)/progression-free survival (PFS) were analyzed in evidence synthesis. For the miRNA-130a, the overall pooled effect size (HR) was HR 1.58 (95% CI: 1.21-2.06, P < 0.001). Tissue and serum expression of miRNA-130a was significantly associated with the OS (HR = 1.54, 95% CI: 1.11-2.14, P = 0.009; HR = 1.65, 95% CI: 1.14-2.38, P = 0.008), and in gastric cancer (HR = 1.81, 95% CI: 1.34-2.45, P < 0.001). For the miRNA-13b, a statistical correlation was observed between high miRNA-130b expression and poor OS in patients with cancer (HR = 1.95, 95% CI: 1.47-2.59, P < 0.001), especially in tissue sample (HR = 2.01, 95% CI: 1.39-2.91, P < 0.001), Asian (HR = 2.55, 95% Cl: 1.77-3.69, P < 0.001) and hepatocellular carcinoma (HR = 1.87, 95% CI: 1.23-2.85, P = 0.004). The expression of miRNA-130b was significantly correlated with DFS/PFS (HR = 1.53, 95% CI: 1.31-1.77, P < 0.001), in tissue (HR = 1.98, 95% CI: 1.50-2.62, P < 0.001) and serum (HR = 1.37, 95% CI: 1.15-1.64, P < 0.001), especially in HCC (HR = 1.98, 95% CI: 1.50, 2.62, P < 0.001). In database test, a significant correlation between high miRNA-130b expression and poor OS for HCC patients was observed (HR = 1.55, 95% CI: 1.01, 2.35, P = 0.0045).

conclusionThe high expression of miRNA-130 family might predict poor prognosis in cancer patients. Prospectively, combining miRNA-130a and miRNA-130b may be considered as powerful prognostic predictor for clinical application.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularDatabases, Nucleic AcidDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateLiver NeoplasmsMaleMicroRNAsNeoplasmsPrognosisProgression-Free SurvivalStomach NeoplasmsTranscriptomeTranslational Research, BiomedicalBiomarkers, TumorMicroRNAsMIRN130 microRNA, humanCancermiRNA-130amiRNA-130bPrognosisSystematic evaluation

Identifiers

PMID31640738
PMCPMC6805372

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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.