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A meta-analysis of microRNA networks regulated by melatonin in cancer: Portrait of potential candidates for breast cancer treatment.

Journal of pineal research
November 1, 2020
Luiz Gustavo de Almeida Chuffa et al. (8 authors)
Journal ArticleMeta-AnalysisSystematic ReviewHuman StudyAnimal Study
Study Details

Study Goal

The researchers aimed to determine how melatonin regulates miRNA-associated gene expression in various cancers and its potential anti-cancer mechanisms.

Results Summary

Melatonin altered miRNA-associated gene expression in breast, gastric, and oral cancers, impacting cellular senescence, proliferation, and signaling pathways. It upregulated immune and apoptotic genes while downregulating genes linked to metastasis in breast cancer.

Population

Breast, oral, gastric, colorectal, and prostate cancers, and glioblastoma (studied via meta-analysis and RNA-Seq data from breast cancer-bearing mice).

Effective Dosage

Not specified

Duration

Not specified

Interactions

None mentioned

Extracted Claims (6)
InterventionDirectionEndpointPopulationDosageImpactClaim #
melatonin
increase
miRNA-associated genes
breast, gastric, and oral cancers
-
changes the expression of
#1
melatonin
no change
miRNA-associated genes
colorectal and prostate cancers as well as glioblastoma and oral carcinoma
-
present a clear pattern of less pronounced changes in the expression of
#2
melatonin
increase
molecular change
colorectal cancer
-
displayed a unique molecular change in response to
#3
melatonin
increase
genes associated with immune responses and apoptotic processes
breast cancer-bearing mice
-
upregulated
#4
melatonin
decrease
genes involved in cellular aggressiveness/metastasis (eg, mitosis, telomerase activity, and angiogenesis)
breast cancer-bearing mice
-
downregulated
#5
melatonin
increase
gene expression
human breast cancer
eight upregulated genes and 16 downregulated genes
found eight upregulated genes and 16 downregulated genes that were appositively correlated with
#6
Abstract

Melatonin is a ubiquitous molecule with a broad spectrum of functions including widespread anti-cancer activities. Identifying how melatonin intervenes in complex molecular signaling at the gene level is essential to guide proper therapies. Using meta-analysis approach, herein we examined the role of melatonin in regulating the expression of 46 microRNAs (miRNAs) and their target genes in breast, oral, gastric, colorectal, and prostate cancers, and glioblastoma. The deregulated miRNA-associated target genes revealed their involvement in the regulation of cellular proliferation, differentiation, apoptosis, senescence, and autophagy. Melatonin changes the expression of miRNA-associated genes in breast, gastric, and oral cancers. These genes are associated with cellular senescence, the hedgehog signaling pathway, cell proliferation, p53 signaling, and the hippo signaling pathway. Conversely, colorectal and prostate cancers as well as glioblastoma and oral carcinoma present a clear pattern of less pronounced changes in the expression of miRNA-associated genes. Most notably, colorectal cancer displayed a unique molecular change in response to melatonin. Considering breast cancer network complexity, we compared the genes found during the meta-analysis with RNA-Seq data from breast cancer-bearing mice treated with melatonin. Mechanistically, melatonin upregulated genes associated with immune responses and apoptotic processes, whereas it downregulated genes involved in cellular aggressiveness/metastasis (eg, mitosis, telomerase activity, and angiogenesis). We further characterized the expression profile of our gene subsets with human breast cancer and found eight upregulated genes and 16 downregulated genes that were appositively correlated with melatonin. Our results pose a multi-dimension network of tumor-associated genes regulated by miRNAs potentially targeted by melatonin.

Medical Subject Headings (MeSH)
AnimalsGene Expression Regulation, NeoplasticHumansMelatoninMicroRNAsNeoplasmsRNA, Neoplasm
Study Links
Quality Scores
SafetyNot Assessed
Efficacy75/10
Quality80/10
Citation Metrics
Total Citations36
Citations/Year7.2
Relative Citation Ratio2.30
NIH Percentile78.6%
Research Impact Scores
APT Score0.50
Weight Score1.27
Normalized Score0.66
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