MiR-320a inhibits malignant phenotype of melanoma cells via targeting PBX3.

J BUON

Department of Dermatology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Published: July 2021

Purpose: To study the expression of micro ribonucleic acid-320a (miR-320a) in melanoma cells and its influence on the biological functions of these cells.

Methods: MiR-320a expression data and clinical data in melanoma tissues were downloaded from The Cancer Genome Atlas (TCGA) database. Real time-quantitative polymerase chain reaction (RT-qPCR) was used to detect miR-320a expression in melanoma tissues, malignant melanoma cell lines (A375, SKMEL-28 and A2058) and human epidermal melanoma (HEM) cells. The miR-320a mimic was transfected into A375 cells, and the functions of cells were detected. The luciferase reporter gene assay was employed to verify the miR-320a downstream target protein predicted by the biological information prediction software.

Results: The differential analysis of miRNAs in melanoma tissues from TCGA database showed that miR-320a expression in melanoma tissues was significantly lower than that in adjacent tissues, and low expression of miR-320a exhibited a severe poor prognosis (p<0.01). MiR-320a mimic could significantly enhance the expression level of miR-320a (p<0.01). The absorbance at 490 nm of A375 cells overexpressing miR-320a decreased remarkably and their proliferation ability was weakened (p<0.01). Overexpression of miR-320a in A375 cells inhibited cell migration to wound parts and epithelial-mesenchymal transition (EMT), invading malignant phenotype (p<0.05). Flow cytometry was employed and it was denoted that after transfecting with miR-320a, the apoptosis rate of A375 cells was elevated overtly (p<0.01). The dual luciferase report test indicated that the luciferase activity in wild type pre-B-cell leukemia transcription factor 3 (PBX3) was markedly lower than that of mutant type PBX 3 (p<0.05).

Conclusions: Targeted binding of miR-320a to PBX3 protein can inhibit the malignant phenotype of cells and affects the occurrence and development of melanoma.

Download full-text PDF

Source

Publication Analysis

Top Keywords

melanoma tissues
16
mir-320a expression
12
mir-320a
8
melanoma
8
melanoma cells
8
tcga database
8
expression melanoma
8
cells
5
expression
5
tissues
5

Similar Publications

Background: There is a need to improve risk stratification of primary cutaneous melanomas to better guide adjuvant therapy. Taking into account that haematoxylin and eosin (HE)-stained tumour tissue contains a huge amount of clinically unexploited morphological informations, we developed a weakly-supervised deep-learning approach, SmartProg-MEL, to predict survival outcomes in stages I to III melanoma patients from HE-stained whole slide image (WSI).

Methods: We designed a deep neural network that extracts morphological features from WSI to predict 5-y overall survival (OS), and assign a survival risk score to each patient.

View Article and Find Full Text PDF

Arsenic (As) is a risk factor for non-melanoma skin cancer (NMSC). From a six-year follow-up study on 7000 adults exposed to As, we reported the associations of single-nucleotide variation in tumor tissue and gene expression. Here, we identify the associations of small deletions (DELs) and transcriptomic profiles in NMSC.

View Article and Find Full Text PDF

Artificial Intelligence in Diagnosis and Management of Nail Disorders: A Narrative Review.

Indian Dermatol Online J

December 2024

Financial Research and Executive Insights, Everest Group, Gurugram, Haryana, India.

Background: Artificial intelligence (AI) is revolutionizing healthcare by enabling systems to perform tasks traditionally requiring human intelligence. In healthcare, AI encompasses various subfields, including machine learning, deep learning, natural language processing, and expert systems. In the specific domain of onychology, AI presents a promising avenue for diagnosing nail disorders, analyzing intricate patterns, and improving diagnostic accuracy.

View Article and Find Full Text PDF

A proof-of-concept study for precise mapping of pigmented basal cell carcinoma in asian skin using multispectral optoacoustic tomography imaging with level set segmentation.

Eur J Nucl Med Mol Imaging

January 2025

A*STAR Skin Research Labs (A*SRL), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, #07-01, Nanos, Singapore, 138669, Republic of Singapore.

Purpose: Basal Cell Carcinoma (BCC), the most common subtype of non-melanoma skin cancers (NMSC), is prevalent worldwide and poses significant challenges due to their increasing incidence and complex treatment considerations. Existing clinical approaches, such as Mohs micrographic surgery, are time-consuming and labour-intensive, requiring meticulous layer-by-layer excision and examination, which can significantly extend the duration of the procedure. Current optical imaging solutions also lack the necessary spatial resolution, penetration depth, and contrast for effective clinical use.

View Article and Find Full Text PDF

Spatial transcriptomics (ST) offers enormous potential to decipher the biological and pathological heterogeneity in precious archival cancer tissues. Traditionally, these tissues have rarely been used and only examined at a low throughput, most commonly by histopathological staining. ST adds thousands of times as many molecular features to histopathological images, but critical technical issues and limitations require more assessment of how ST performs on fixed archival tissues.

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!