Recently, the incidence of melanoma has been on the rise. Patients with distant metastasis share poor prognosis. Increasing studies have been conducted to clarify the molecular mechanisms as well as to investigate potential effective therapeutic targets in the development of melanoma. This study focuses on the LncRNA UCA1 and its downstream regulated factors. In our experiments, UCA1 expression was discovered to be upregulated in melanoma tissues and cells, while the depletion of UCA1 led to the inhibition of cell proliferation, invasion and cell cycle arrest. To further our understanding of the mechanisms of UCA1, a system of experiments was built. We found that miR-507 could directly bind to UCA1 at the miRNA recognition site, and that there was a negative correlation between miR-507 and UCA1. Additionally, FOXM1 is a target of miR-507 and can be downregulated by either miR-507 overexpression or UCA1 depletion. Downregulated FOXM1 was analogous to the depletion of UCA1 and the overexpression of miR-507. These results, taken together, provide evidence for a novel UCA1 interaction regulatory network in tumorigenesis of melanoma.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s12032-016-0804-2DOI Listing

Publication Analysis

Top Keywords

uca1
9
cell proliferation
8
proliferation invasion
8
cell cycle
8
cycle arrest
8
depletion uca1
8
melanoma
5
mir-507
5
lncrna uca1-mir-507-foxm1
4
uca1-mir-507-foxm1 axis
4

Similar Publications

Long non-coding RNAs as prognostic biomarkers in non-muscle invasive bladder cancer: A systematic review.

Narra J

December 2024

Division of Urology, Department of Surgery, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Traditional prognostic tools for non-muscle invasive bladder cancer (NMIBC) often overestimate progression and recurrence risks, underscoring the need for more precise biomarkers. While long non-coding ribonucleic acids (lncRNAs) have been reviewed in bladder cancer, no review has focused on NMIBC. The aim of this study was to address this gap by investigating the role of lncRNAs in predicting NMIBC survival and progression.

View Article and Find Full Text PDF

β-Asarone Inhibits Carboplatin Resistance in Retinoblastoma Cells Through the UCA1/miR-206/NRP1 Axis.

Biochem Genet

December 2024

Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Affiliated People's Hospital of Northwest University, No. 21 Jiefang Rd, Xi'an, 710004, Shaanxi, China.

Retinoblastoma (RB) is an aggressive form of eye cancer. β-Asarone is a bioactive component isolated from the medicinal plant Acorus tatarinowii Schott and has anticancer effects on various human cancers. However, reports regarding the role of β-Asarone in RB remain limited.

View Article and Find Full Text PDF

Liquid biopsies and exosomal ncRNA: Transforming pancreatic cancer diagnostics and therapeutics.

Clin Chim Acta

February 2025

Centre for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, India. Electronic address:

Pancreatic cancer is a highly fatal malignancy due to poor early detection rate and resistance to conventional therapies. This review examines the potential for liquid biopsy as a transformative technology to identify diagnostic and therapeutic targets in pancreatic cancer. Specifically, we explore emerging biomarkers such as exosomal non-coding RNAs (ncRNAs), circulating tumor DNA (ctDNA), and circulating tumor cells (CTCs).

View Article and Find Full Text PDF

Background And Aims: So far, long noncoding RNAs (lncRNAs) signatures in acute myeloid leukemia (AML) are poorly understood. The present study aims to explore the prognostic significance of eleven cancer-related lncRNAs in bone marrow (BM) samples from adult Egyptian AML patients.

Materials And Methods: In this study, we analyzed eleven lncRNAs using the qRT-PCR assay in the bone marrow (BM) of 79 de novo AML adult patients before receiving any therapy.

View Article and Find Full Text PDF

Hepatocellular carcinoma (HCC) represents a significant health burden in Egypt, largely attributable to the endemic prevalence of hepatitis B and C viruses. Early identification of HCC remains a challenge due to the lack of widespread screening among at-risk populations. The objective of this study was to assess the utility of machine learning in predicting HCC by analyzing the combined expression of lncRNAs and conventional laboratory biomarkers.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!