<i>RETRACTED:</i> MiR‐93 blocks cell cycle progression and promotes apoptosis in uterine leiomyoma cells by targeting CCND1

Zhang, Donghong; Liu, Enling; Tian, Wei; Zhang, Zhiyong; Wang, Liqun; Li, Jun

doi:10.1002/ar.24308

Cited by 9 publications

(9 citation statements)

References 28 publications

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“…Even though, mRNA expression by qPCR or Western blot only showed an increase in F compared to M but not in MF vs. M or F vs. MF, targeting CCND1 in early disease may offer a useful avenue for therapeutic treatments. Indeed, it has been recently found that microRNA 93 (miR-93) blocks cell cycle progression and promotes apoptosis in uterine fibroid cells by targeting CCND1 mRNA [ 36 ].…”

Section: Discussionmentioning

confidence: 99%

Transcriptome Analyses of Myometrium from Fibroid Patients Reveals Phenotypic Differences Compared to Non-Diseased Myometrium

Paul

Burns

Carpenter

et al. 2021

IJMS

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Uterine fibroid tissues are often compared to their matched myometrium in an effort to understand their pathophysiology, but it is not clear whether the myometria of uterine fibroid patients represent truly non-disease control tissues. We analyzed the transcriptomes of myometrial samples from non-fibroid patients (M) and compared them with fibroid (F) and matched myometrial (MF) samples to determine whether there is a phenotypic difference between fibroid and non-fibroid myometria. Multidimensional scaling plots revealed that M samples clustered separately from both MF and F samples. A total of 1169 differentially expressed genes (DEGs) (false discovery rate < 0.05) were observed in the MF comparison with M. Overrepresented Gene Ontology terms showed a high concordance of upregulated gene sets in MF compared to M, particularly extracellular matrix and structure organization. Gene set enrichment analyses showed that the leading-edge genes from the TGFβ signaling and inflammatory response gene sets were significantly enriched in MF. Overall comparison of the three tissues by three-dimensional principal component analyses showed that M, MF, and F samples clustered separately from each other and that a total of 732 DEGs from F vs. M were not found in the F vs. MF, which are likely understudied in the pathogenesis of uterine fibroids and could be key genes for future investigation. These results suggest that the transcriptome of fibroid-associated myometrium is different from that of non-diseased myometrium and that fibroid studies should consider using both matched myometrium and non-diseased myometrium as controls.

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Section: Discussionmentioning

confidence: 99%

Transcriptome Analyses of Myometrium from Fibroid Patients Reveals Phenotypic Differences Compared to Non-Diseased Myometrium

Paul

Burns

Carpenter

et al. 2021

IJMS

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“…139 Uterine leiomyomas frequently occur in reproductive-age women. 77,122 Their prevalence is about 20% to 40%, 122 which increased in older women. 77,122,123 According to the location, they are classified as submucosal, intramural and subserosal leiomyomas.…”

Section: Endometriosismentioning

confidence: 99%

“…77,122 Their prevalence is about 20% to 40%, 122 which increased in older women. 77,122,123 According to the location, they are classified as submucosal, intramural and subserosal leiomyomas. 123 Uterine fibroids may be asymptomatic and symptomatic in approximately 50% of cases 140 and present by abnormal uterine bleeding, abdominal or low back pain, painful coitus, urgent urination, urinary frequency, retention of urine and gastrointestinal disorders.…”

Section: Endometriosismentioning

confidence: 99%

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microRNAs in female infertility: An overview

Bahmyari

Jamali

Khatami

et al. 2021

Cell Biochemistry & Function

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Infertility impacts a considerable number of women worldwide, and it affects different aspects of family life and society. Although female infertility is known as a multifactorial disorder, there are strong genetic and epigenetic bases. Studies revealed that miRNAs play critical roles in initiation and development of female infertility related disorders. Early diagnosis and control of these diseases is an essential key for improving disease prognosis and reducing the possibility of infertility and other side effects. Investigating the possible use of miRNAs as biomarkers and therapeutic options is valuable, and it merits attention. Thus, in this article, we reviewed research associated with female diseases and highlighted microRNAs that are related to the polycystic ovary syndrome (up to 30 miRNAs), premature ovarian failure (10 miRNAs), endometriosis (up to 15 miRNAs), uterine fibroids (up to 15 miRNAs), endometrial polyp (3 miRNAs), and pelvic inflammatory (6 miRNAs), which are involved in one or more ovarian or uterine disease‐causing processes.

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“…Of note, one target gene can be regulated by multiple miRNAs, suggesting that altered expression of the miR-17 family by physical activity eventually affects the expression of PTEN. Other studies observed that miR-106b-5p and miR-93-5p were negatively associated with CCND1 [55], miR-150-5p inhibited tumorigenesis by targeting VEGF [56], and miR-92a-3p directly targeted SP1, a transcription factor of various oncogenes like Ras, Src, and Raf [57]. As one miRNA can affect multiple target genes, miRNA profiles altered by exercise regulate a broad spectrum of genes and key signaling pathways in tumorigenesis, including pathways in cancer and the PI3K-Akt signaling pathway.…”

Section: Discussionmentioning

confidence: 86%

Regulation of the Effect of Physical Activity Through MicroRNAs in Breast Cancer

Hong

2021

Int J Sports Med

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Physical activity and exercise can induce beneficial molecular and biological regulations that have been associated with an incidence of various diseases, including breast cancer. Recent studies demonstrated that the potential links between physical activity-induced circulating microRNAs (miRNAs) and cancer risk and progression. Here, we investigated whether altered miRNAs by exercise could influence breast cancer progression. After primary searching in PubMed and reviewing the full-text papers, candidate miRNAs altered by exercise in breast cancer were identified. Analysis of expression profiles and clinical outcomes of altered miRNAs using The Cancer Genome Atlas datasets showed altered miRNAs expressions were significantly associated with the patient's prognosis, whereas prognostic values of each miRNA varied in different stages and subtypes. In addition, altered miRNAs profiles regulated various target genes and key signaling pathways in tumorigenesis, including pathways in cancer and the PI3K-Akt signaling pathway; however, miRNAs regulated the expression of target genes differently according to tumor stages and subtypes. These results indicate that circulating miRNAs are promising noninvasive stable biomarkers for early detection, diagnosis, prognosis, and monitoring the response to clinical therapies of breast cancer. Moreover, stages and subtype-stratified approaches for breast cancer progression would be needed to evaluate the prognostic value of miRNAs for biomarkers and therapeutic targets.

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RETRACTED: MiR‐93 blocks cell cycle progression and promotes apoptosis in uterine leiomyoma cells by targeting CCND1

Cited by 9 publications

References 28 publications

Transcriptome Analyses of Myometrium from Fibroid Patients Reveals Phenotypic Differences Compared to Non-Diseased Myometrium

Transcriptome Analyses of Myometrium from Fibroid Patients Reveals Phenotypic Differences Compared to Non-Diseased Myometrium

microRNAs in female infertility: An overview

Regulation of the Effect of Physical Activity Through MicroRNAs in Breast Cancer

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