Comprehensive Review on the Clinical Relevance of Long Non-Coding RNAs in Cutaneous Melanoma

Falco, Vincenzo De; Napolitano, Stefania; Esposito, Daniela; Guerrera, Luigi Pio; Ciardiello, Davide; Formisano, Luigi; Troiani, Teresa

doi:10.3390/ijms22031166

Cited by 10 publications

(6 citation statements)

References 102 publications

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“…Among all the identi ed hub-lncRNAs, disregarding the well-known RNA molecules in CRC pathogenicity, some have not been examined directly in the progression of CRC, including NUTM2B-AS1, LINC00943, MCM3AP-AS1 (C1orf132), and SLC9A3-AS1. LINC00943, as an intergenic RNA, was announced as one of the central lncRNAs shown in the former studies as an in uential regulatory factor in malignant tumors and also identi ed and validated as a potential remedy in melanoma malignancy [35].…”

Section: Discussionmentioning

confidence: 99%

Unraveling Candidate Biomarkers and Involved Biomedical Phenomena in Colorectal Cancer by Systematic Proteomics Analysis and Experimental procedures

Jahromi

Mandani

Kaji

et al. 2022

Preprint

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Background: Colorectal cancer (CRC) is the third most common cancer worldwide. The pathogenic mechanisms of this disorder are still unclear. Long noncoding RNAs (lncRNAs) play critical roles in gene expression regulation. This study aimed to introduce two novel lncRNAs as biomarkers of CRC diagnosis and treatment. Method: In the first step, we investigated the differentially expressed proteins (DEPs) in CRC by bioinformatic study and constructed a regulatory multi-layer network (DEPs-miRNAs-lncRNAs) using Cytoscape software. In the last step, tissues ware collected from thirty patients after informed consent. Then, we evaluated the expression of LINC00943 and SLC9A3-AS1 lncRNAs in the 30 tumor tissues and 30 adjacent non-tumor tissues of the CRC patients by qRT-PCR. Result: According to the evaluation of the constructed multi-layer, SLC9A3-AS1, LINC00943, and miR-1301-3p were considered important nodes that the association of the SLC9A3-AS1 and LINC00943 with CRC had not been investigated until now. We demonstrated that the expression of SLC9A3-AS1 and LINC00943 was up-regulated in the tumor tissues compared to adjacent non-tumor tissues in the CRC patients. Conclusion: Considering the constructed interacting map not only provides a deeper understanding of the underlying mechanisms like an immunological aspect of CRC, which placed a premium on other pathways but also indicated several hub central molecules involved in CRC pathogenesis. In addition, the increase in LINC00943 and SLC9A3-AS1 gene expression in tumor tissues compared to adjacent healthy tissues in each patient confirms bioinformatical predictions and the role of these two genes in colorectal cancer. According to the results obtained, the LINC00943 gene is suggested as a biomarker in colorectal cancer. In previous studies as well, expression changes of LINC00943 and SLC9A3-AS1 genes were reported in gastric cancer and nasopharyngeal carcinoma, respectively. MiR-1301-3p expression changes were reported in colorectal cancer too.

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Section: Discussionmentioning

confidence: 99%

Unraveling Candidate Biomarkers and Involved Biomedical Phenomena in Colorectal Cancer by Systematic Proteomics Analysis and Experimental procedures

Jahromi

Mandani

Kaji

et al. 2022

Preprint

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“…LncRNAs play crucial roles in both cellular physiological and pathological processes, including in the pathogenesis of various tumors and often reveal a higher cell/tissue specificity than mRNA (Derrien et al, 2012;De Falco et al, 2021;Turai et al, 2021), so they were suggested as potential valuable diagnostic, prognostic factors even therapeutic targets. Below, we summarize the excellent potential lncRNA candidates for diagnosis, prognosis and therapy in EC.…”

Section: Lncrnas In Diagnosis Prognosis and Therapy Of Esophageal Cancermentioning

confidence: 99%

The Emerging Role of Long Non-Coding RNAs in Esophageal Cancer: Functions in Tumorigenesis and Clinical Implications

et al. 2022

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Esophageal cancer (EC) is one of the most common malignancies of digestive tracts with poor five-year survival rate. Hence, it is very significant to further investigate the occurrence and development mechanism of esophageal cancer, find more effective biomarkers and promote early diagnosis and effective treatment. Long non-coding RNAs (lncRNAs) are generally defined as non-protein-coding RNAs with more than 200 nucleotides in length. Existing researches have shown that lncRNAs could act as sponges, guides, scaffolds, and signal molecules to influence the oncogene or tumor suppressor expressions at transcriptional, post-transcriptional, and protein levels in crucial cellular processes. Currently, the dysregulated lncRNAs are reported to involve in the pathogenesis and progression of EC. Importantly, targeting EC-related lncRNAs through genome editing, RNA interference and molecule drugs may be one of the most potential therapeutic methods for the future EC treatment. In this review, we summarized the biological functions and molecular mechanisms of lncRNAs, including oncogenic lncRNAs and tumor suppressor lncRNAs in EC. In addition, we generalized the excellent potential lncRNA candidates for diagnosis, prognosis and therapy in EC. Finally, we discussed the current challenges and opportunities of lncRNAs for EC.

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“…Numerous investigations demonstrate that lncRNAs have a signi cance in the gene regulation of various cancers and that they have a role in the development of cutaneous melanoma via several routes and molecular interactions [13]. Compared to protein-coding genes, lncRNAs have been discovered to be substantially expressed in malignancies and thus can serve as potential biomarkers (both diagnostic and prognostic) and therapeutic targets for malignant melanoma [14]. Ping et al identi ed nineteen signatures of ferroptosis-related lncRNAs that were predictive of prognosis in SKCM patients and used bioinformatics analysis to construct a risk model [15].…”

Section: Introductionmentioning

confidence: 99%

Construction and validation of eight cuproptosis-related lncRNAs signature for predicting prognosis and immune response in melanoma

Guan,

Dong,

Deng

et al. 2023

Preprint

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Background: Skin cutaneous melanoma (SKCM) is the highly heterogeneous and fatal form of skin cancer with a very high incidence. A recently identified copper-dependent regulated cell death process called cuproptosis has been linked to apoptosis in several tumor species. Nevertheless, its role in melanoma metastasis is unclear. This investigation seeks to investigate the relationship between cuproptosis associated genes (CRGs) and the prognosis of melanoma patients. Methods: The TCGA database was used to find clinical information on patients with SKCM. 80% of the data was randomly selected for analysis. Long non-coding RNAs (lncRNAs) associated with cuproptosis were identified using the Pearson correlation algorithm. Genes related with cuproptosis were screened from previous studies, and lncRNAs related with them were validated as candidates for prognostic features of SKCM. The least absolute shrinkage selection operator (LASSO) algorithm and univariate as well as multivariate COX regression analyses were used in the study to develop a prognostic model. In addition, the efficacy of this model was confirmed using the remaining 20% of the data. Results: A new prognostic model was established by screening eight lncRNAs associated with cuproptosis. Furthermore, functional enrichment analysis, the immune microenvironment analysis, and immune escape analysis were carried out. The results demonstrated that in the landscape of the immunological microenvironment, the low-risk group exhibited greater immunocompetence than the high-risk group. Conclusions: The tests assessing the reliability and validity of the model demonstrated that the established prognostic model for CRGs can accurately predict the prognosis of melanoma and could be useful in guiding subsequent treatment.

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Comprehensive Review on the Clinical Relevance of Long Non-Coding RNAs in Cutaneous Melanoma

Cited by 10 publications

References 102 publications

Unraveling Candidate Biomarkers and Involved Biomedical Phenomena in Colorectal Cancer by Systematic Proteomics Analysis and Experimental procedures

Unraveling Candidate Biomarkers and Involved Biomedical Phenomena in Colorectal Cancer by Systematic Proteomics Analysis and Experimental procedures

The Emerging Role of Long Non-Coding RNAs in Esophageal Cancer: Functions in Tumorigenesis and Clinical Implications

Construction and validation of eight cuproptosis-related lncRNAs signature for predicting prognosis and immune response in melanoma

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