Long non-coding RNAs drive metastatic progression in melanoma (Review)

Role of non-coding RNAs in the progression and resistance of cutaneous malignancies and autoimmune diseases

Skin, the largest organ of human body, is vital for the existence and survival of human beings. Further, developmental and physiological mechanisms associated with cutaneous biology are vital for homeostasis as their deregulations converge towards pathogenesis of a number of skin diseases, including cancer. It has now been well accepted that most of the transcribed human genome lacks protein translational potential and has been termed as non-coding RNAs (nc-RNAs), which includes circular RNA (circRNA), small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), micro RNA (miRNA), long noncoding RNA (lncRNA), and piwi-interacting RNA (piRNAs). These nc-RNAs have gained great attention in both preclinical and clinical research as they are critical in most of the regulatory mechanisms of biological homeostasis and disease development by controlling the gene expression at transcriptional, post-transcriptional and epigenetic level. In this review we have illustrated how nc-RNAs are critical in the development and maintenance of cutaneous homeostasis and functioning and also, most importantly, how the dysregulated expression and functioning of nc-RNAs play critical role in the pathogenesis of cutaneous diseases including cancer and the autoimmune skin diseases. Considering the vital role of nc-RNAs in cancer resistance, metastasis and autoimmune diseases, we have also highlighted their role as promising prognostic and therapeutic targets for the cutaneous diseases.

The Non-Coding Landscape of Cutaneous Malignant Melanoma: A Possible Route to Efficient Targeted Therapy

Considered to be highly lethal if not diagnosed in early stages, cutaneous malignant melanoma is among the most aggressive and treatment-resistant human cancers, and its incidence continues to rise, largely due to ultraviolet radiation exposure, which is the main carcinogenic factor. Over the years, researchers have started to unveil the molecular mechanisms by which malignant melanoma can be triggered and sustained, in order to establish specific, reliable biomarkers that could aid the prognosis and diagnosis of this fatal disease, and serve as targets for development of novel efficient therapies. The high mutational burden and heterogeneous nature of melanoma shifted the main focus from the genetic landscape to epigenetic and epitranscriptomic modifications, aiming at elucidating the role of non-coding RNA molecules in the fine tuning of melanoma progression. Here we review the contribution of microRNAs and lncRNAs to melanoma invasion, metastasis and acquired drug resistance, highlighting their potential for clinical applications as biomarkers and therapeutic targets.

Integrative analysis of competing endogenous RNA network focusing on long noncoding RNA associated with progression of cutaneous melanoma

Cutaneous melanoma (CM) is the most malignant tumor of skin cancers because of its rapid development and high mortality rate. Long noncoding RNAs (lncRNAs), which play essential roles in the tumorigenesis and metastasis of CM and interplay with microRNAs (miRNAs) and mRNAs, are hopefully considered to be efficient biomarkers to detect deterioration during the progression of CM to improve the prognosis. Bioinformatics analysis was fully applied to predict the vital lncRNAs and the associated miRNAs and mRNAs, which eventually constructed the competing endogenous RNA (ceRNA) network to explain the RNA expression patterns in the progression of CM. Further statistical analysis emphasized the importance of these key genes, which were statistically significantly related to one or few clinical features from the ceRNA network. The results showed the lncRNAs MGC12926 and LINC00937 were verified to be strongly connected with the prognosis of CM patients.

LncRNA PlncRNA‑1 regulates proliferation and differentiation of hair follicle stem cells through TGF‑β1‑mediated Wnt/β‑catenin signal pathway

The present study demonstrated that hair follicle stem cells (HFSc) have multidirectional differentiation potential and participate in skin wound healing processes. Long non‑coding RNAs (lncRNAs) are defined as non‑protein coding transcripts longer than 200 nucleotides, which are important in the proliferation and differentiation of cells. The purpose of the present study was to investigate the role of PlncRNA‑1 in the proliferation and differentiation of HFSc. Results revealed that PlncRNA‑1, transforming growth factor (TGF)‑β1, Wnt and β‑catenin expression levels were significantly downregulated in HFSc. PlncRNA‑1 transfection promoted proliferation and differentiation of HFSc. TGF‑β1, Wnt and β‑catenin expression levels were upregulated in HFSc following transfection of PlncRNA‑1. Results demonstrated that TGF‑β1 inhibitor LY2109761 blocked proliferation and differentiation of HFSc promoted by PlncRNA‑1 transfection. In addition, TGF‑β1 inhibitor LY2109761 led to decreased Wnt and β‑catenin expression levels in HFSc. Furthermore, PlncRNA‑1 transfection stimulated the cell cycle of HFSc, whereas TGF‑β1 inhibitor LY2109761 inhibited the cell cycle of HFSc and decreased the acceleration of the cell cycle induced by PlncRNA‑1 transfection. In conclusion, these findings suggest that PlncRNA‑1 may promote proliferation and differentiation of HFSc through upregulation of TGF‑β1‑mediated Wnt/β‑catenin signaling pathway.

Long non-coding RNAs in cutaneous melanoma: clinical perspectives

Metastatic melanoma of the skin has a high mortality despite the recent introduction of targeted therapy and immunotherapy. Long non-coding RNAs (lncRNAs) are defined as transcripts of more than 200 nucleotides in length that lack protein-coding potential. There is growing evidence that lncRNAs play an important role in gene regulation, including oncogenesis. We present 13 lncRNA genes involved in the pathogenesis of cutaneous melanoma through a variety of pathways and molecular interactions. Some of these lncRNAs are possible biomarkers or therapeutic targets for malignant melanoma.

Melanoma long non-coding RNA signature predicts prognostic survival and directs clinical risk-specific treatments

BACKGROUND

Various studies have demonstrated that the Breslow thickness, tumor ulceration and mitotic index could serve as prognostic markers in patients with cutaneous melanoma. Recently, however, as these clinicopathological biomarkers lack efficient interpretation of endogenous mechanism of melanoma, the emphasis on the prognosis of melanoma has transformed to molecular tumor markers.

OBJECTIVE

This study was designed to identify survival-related long non-coding RNAs (lncRNAs), and based on the different expressions of these lncRNAs, clinical risk-specific diagnosis and adjuvant therapy could be employed on melanoma patients, especially patients in the early course of disease or patients with a Breslow thickness no more than 2mm.

METHODS

The clinical information and corresponding RNA expression data were obtained from The Cancer Genome Atlas dataset and Gene Expression Omnibus dataset (GSE65904). All samples were categorized into one training dataset and two validation datasets. Cox proportional hazard regression analysis was then used to identify survival-related lncRNAs and risk assessment signature was constructed in training dataset. Kaplan-Meier method was used to estimate the utility of this signature in predicting the duration of survival of patients both in the training dataset and two validation datasets. Meanwhile receiver operating characteristic analyses were used to evaluate the predictive effectiveness of this signature in two validation datasets.

RESULTS

It was found that the signature was effective while used for risk stratification, and Kaplan-Meier analyses indicated that the duration of survival of patients in high-risk groups were significantly shorter than that of low-risk groups. Moreover, areas under the receiver operating characteristic curve were 0.711 (95% confidence interval: 0.618-0.804) and 0.698 (95% confidence interval: 0.614-0.782) when this signature was used to predict the patients' duration of survival in two validation datasets respectively, indicating the superior specificity and sensitivity of this signature.

CONCLUSION

We identified a four-lncRNA prognostic signature with the ability of risk stratification for melanoma patients. Risk score acquired from this signature, combining with differential diagnosis and differential adjuvant therapy, could potentially improve the prognosis quality of life for patients, especially patients in the early course of disease or patients with a Breslow thickness no more than 2mm.

Long Noncoding RNA MALAT-1 Can Predict Metastasis and a Poor Prognosis: a Meta-Analysis

Elevated expression of MALAT-1 was found in various cancers, and correlated with metastasis and prognostic. This meta-analysis collected all relevant articles and explored correlation of MALAT-1 with lymph node metastasis (LNM), distant metastasis (DM), and overall survival (OS). A quantitative meta-analysis was performed through a systematic search in PubMed, Web of Science, Medline, CNKI, CBM, and the Cochrane Library. The odds ratios (OR) of LNM and DM and hazard ratio (HR) of OS were calculated to assess the association strength. Eight studies with a total of 845 patients were included in the meta-analysis. Six different types of cancer were evaluated, with 2 non-small cell lung cancer (NSCLC), 1 colorectal cancer (CRC), 1 gastric cancer (GC), 2 pancreatic cancer (PC), 1 clear cell renal cell carcinoma (ccRCC), and 1 osteosarcoma (OSA). Compared with low MALAT-1 expression, high MALAT-1 expression correlated with more LNM (OR = 2.08, 95 %CI: 1.00-4.32, p = 0.05) by a random-effects model (I (2) = 71 %, p = 0.004). A similar result was seen between MALAT-1 expression and DM, the OR was 3.52 (95 %CI: 1.06-11.71, p = 0.04) adopting a random-effects model (I (2) = 59 %, p = 0.04). Additionally, our analysis showed a poorer OS in patients with high MALAT-1 expression than those with low MALAT-1 expression (HR = 2.12, 95 %CI: 1.60-2.82, p < 0.001) adopting a random-effects model (I (2) = 56 %, p = 0.04). MALAT-1 may serve as a molecular marker for cancer metastasis and prognosis.

MicroRNAs in melanocyte and melanoma biology

The importance of microRNAs as key molecular components of cellular processes is now being recognized. Recent reports have shown that microRNAs regulate processes as diverse as protein expression and nuclear functions inside cells and are able to signal extracellularly, delivered via exosomes, to influence cell fate at a distance. The versatility of microRNAs as molecular tools inspires the design of novel strategies to control gene expression, protein stability, DNA repair and chromatin accessibility that may prove very useful for therapeutic approaches due to the extensive manageability of these small molecules. However, we still lack a comprehensive understanding of the microRNA network and its interactions with the other layers of regulatory elements in cellular and extracellular functions. This knowledge may be necessary before we exploit microRNA versatility in therapeutic settings. To identify rules of interactions between microRNAs and other regulatory systems, we begin by reviewing microRNA activities in a single cell type: the melanocyte, from development to disease.