ArticleExperimental and therapeutic medicine2017
Suppressive effect of microRNA-138 on the proliferation and invasion of osteosarcoma cells via targeting SIRT1.
Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- The sirtuin family in health and disease.Signal transduction and targeted therapy · 2022Review
- Association of sirtuin-1 and vascular endothelial growth factor expression with tumor progression and poor prognosis in liposarcoma.The Journal of international medical research · 2020Article
- miRNA signatures in childhood sarcomas and their clinical implications.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019Review
- Circular HDAC9/microRNA-138/Sirtuin-1 Pathway Mediates Synaptic and Amyloid Precursor Protein Processing Deficits in Alzheimer's Disease.Neuroscience bulletin · 2019Article
- LINC01016 promotes the malignant phenotype of endometrial cancer cells by regulating the miR-302a-3p/miR-3130-3p/NFYA/SATB1 axis.Cell death & disease · 2018Article
Corrections and comments
- Retraction · 2023-01-10Author Unresponsive · Concerns/Issues about Data · Euphemisms for Plagiarism · Investigation by Journal/Publisher · Investigation by Third Party · Plagiarism of Data · · See also: https://pubpeer.com/publications/8843D5A8A4973312ACCA83695B22CD
- Retracted
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRs), a class of small non-coding RNAs, function as key regulators in gene expression through binding to the 3'-untranslated region (UTR) of their target mRNA, which further leads to translational repression or mRNA degradation. Recently, miR-138 has been found to have a tumor suppressive role in a variety of human malignancies. However, the exact role of miR-138 in regulating the malignant phenotypes of osteosarcoma (OS) has remained to be elucidated. In the present study, reverse-transcription PCR analysis showed that the expression of miR-138 was markedly reduced in OS tissues compared to that in matched adjacent non-tumorous tissues. Furthermore, it was also downregulated in several common OS cell lines, when compared with that in a normal human osteoblast cell line. Overexpression of miR-138 suppressed cell proliferation and invasion and led to a significant decrease in the protein expression of sirtuin 1 (SIRT1), which was further identified as a direct target gene of miR-138 in MG63 cells. Moreover, restoration of SIRT1 expression reversed the suppressive effects of miR-138 on MG63 cell proliferation and invasion. Finally, the expression of SIRT1 was found to be significantly upregulated in OS tissues compared to that in matched adjacent tissues, and SIRT1 levels were inversely correlated with the miR-138 levels in OS tissues. Therefore, the present study demonstrated that miR-138 has a role in inhibiting OS cell proliferation and invasion via directly targeting SIRT1, and suggested that the miR-138/SIRT1 axis may become a promising therapeutic target for OS.
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Registered trials
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.