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The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM
INTRODUCTION: Skin cutaneous melanoma (SKCM) is the world’s fourth deadliest cancer, and advanced SKCM leads to a poor prognosis. Novel biomarkers for SKCM diagnosis and prognosis are urgently needed. Long non-coding RNAs (lncRNAs) provide various biological functions and have been proved to play a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539251/ https://www.ncbi.nlm.nih.gov/pubmed/36211371 http://dx.doi.org/10.3389/fimmu.2022.919145 |
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author | Zhang, Wancong Xie, Xuqi Huang, Zijian Zhong, Xiaoping Liu, Yang Cheong, Kit-Leong Zhou, Jianda Tang, Shijie |
author_facet | Zhang, Wancong Xie, Xuqi Huang, Zijian Zhong, Xiaoping Liu, Yang Cheong, Kit-Leong Zhou, Jianda Tang, Shijie |
author_sort | Zhang, Wancong |
collection | PubMed |
description | INTRODUCTION: Skin cutaneous melanoma (SKCM) is the world’s fourth deadliest cancer, and advanced SKCM leads to a poor prognosis. Novel biomarkers for SKCM diagnosis and prognosis are urgently needed. Long non-coding RNAs (lncRNAs) provide various biological functions and have been proved to play a significant role in tumor progression. Single-cell RNA sequencing (scRNA-seq) enables genome analysis at the single-cell level. This study explored prognostic lncRNAs in SKCM based on scRNA-seq and bulk RNA sequencing data. MATERIALS AND METHODS: The TCGA cohort and melanoma samples in the GEO database (GSE72056, GSE19234, GSE15605, GSE7553, and GSE81383) were included in this study. Marker genes were filtered, and ensemble lncRNAs were annotated. The clinical significance of selected lncRNAs was verified through TCGA and GEO dataset analysis. SiRNA transfection, wound−healing and transwell assays were performed to evaluate the effect of PRRT3-AS1 on cellular function. Immune infiltration of the selected lncRNAs was also exhibited. RESULTS: A 5-marker-lncRNAs model of significant prognostic value was constructed based on GSE72056 and the TCGA cohort. PRRT3-AS1 combined with DANCR was then found to provide significant prognostic value in SKCM. PRRT3-AS1 was filtered for its higher expression in more advanced melanoma and significant prognosis value. Cellular function experiments in vitro revealed that PRRT3-AS1 may be required for cancer cell migration in SKCM. PRRT3-AS1 was found to be related to epithelial-mesenchymal transition (EMT) signaling pathways. DNA methylation of PRRT3-AS1 was negatively related to PRRT3-AS1 expression and showed significant prognosis value. In addition, PRRT3-AS1 may suppress immune infiltration and be involved in immunotherapy resistance. CONCLUSION: PRRT3-AS1 may be a diagnostic and prognostic biomarker of SKCM. |
format | Online Article Text |
id | pubmed-9539251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95392512022-10-08 The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM Zhang, Wancong Xie, Xuqi Huang, Zijian Zhong, Xiaoping Liu, Yang Cheong, Kit-Leong Zhou, Jianda Tang, Shijie Front Immunol Immunology INTRODUCTION: Skin cutaneous melanoma (SKCM) is the world’s fourth deadliest cancer, and advanced SKCM leads to a poor prognosis. Novel biomarkers for SKCM diagnosis and prognosis are urgently needed. Long non-coding RNAs (lncRNAs) provide various biological functions and have been proved to play a significant role in tumor progression. Single-cell RNA sequencing (scRNA-seq) enables genome analysis at the single-cell level. This study explored prognostic lncRNAs in SKCM based on scRNA-seq and bulk RNA sequencing data. MATERIALS AND METHODS: The TCGA cohort and melanoma samples in the GEO database (GSE72056, GSE19234, GSE15605, GSE7553, and GSE81383) were included in this study. Marker genes were filtered, and ensemble lncRNAs were annotated. The clinical significance of selected lncRNAs was verified through TCGA and GEO dataset analysis. SiRNA transfection, wound−healing and transwell assays were performed to evaluate the effect of PRRT3-AS1 on cellular function. Immune infiltration of the selected lncRNAs was also exhibited. RESULTS: A 5-marker-lncRNAs model of significant prognostic value was constructed based on GSE72056 and the TCGA cohort. PRRT3-AS1 combined with DANCR was then found to provide significant prognostic value in SKCM. PRRT3-AS1 was filtered for its higher expression in more advanced melanoma and significant prognosis value. Cellular function experiments in vitro revealed that PRRT3-AS1 may be required for cancer cell migration in SKCM. PRRT3-AS1 was found to be related to epithelial-mesenchymal transition (EMT) signaling pathways. DNA methylation of PRRT3-AS1 was negatively related to PRRT3-AS1 expression and showed significant prognosis value. In addition, PRRT3-AS1 may suppress immune infiltration and be involved in immunotherapy resistance. CONCLUSION: PRRT3-AS1 may be a diagnostic and prognostic biomarker of SKCM. Frontiers Media S.A. 2022-09-23 /pmc/articles/PMC9539251/ /pubmed/36211371 http://dx.doi.org/10.3389/fimmu.2022.919145 Text en Copyright © 2022 Zhang, Xie, Huang, Zhong, Liu, Cheong, Zhou and Tang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Zhang, Wancong Xie, Xuqi Huang, Zijian Zhong, Xiaoping Liu, Yang Cheong, Kit-Leong Zhou, Jianda Tang, Shijie The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM |
title | The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM |
title_full | The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM |
title_fullStr | The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM |
title_full_unstemmed | The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM |
title_short | The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM |
title_sort | integration of single-cell sequencing, tcga, and geo data analysis revealed that prrt3-as1 is a biomarker and therapeutic target of skcm |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539251/ https://www.ncbi.nlm.nih.gov/pubmed/36211371 http://dx.doi.org/10.3389/fimmu.2022.919145 |
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