Cargando…
A Genomic Instability-Related Long Noncoding RNA Signature for Predicting Hepatocellular Carcinoma Prognosis
BACKGROUND: Long noncoding RNAs (lncRNAs) are found to be novel biomarkers for hepatocellular carcinoma (HCC) and play an important role in tumor progression. We established a genomic instability-related long noncoding RNA signature (GIlncSig) as an independent prognosis factor and also investigated...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444385/ https://www.ncbi.nlm.nih.gov/pubmed/36072979 http://dx.doi.org/10.1155/2022/3090523 |
_version_ | 1784783205255086080 |
---|---|
author | Lu, Jing Cao, Wanyue He, Zeping Wang, Haoyu Hao, Jialing Xu, Junming |
author_facet | Lu, Jing Cao, Wanyue He, Zeping Wang, Haoyu Hao, Jialing Xu, Junming |
author_sort | Lu, Jing |
collection | PubMed |
description | BACKGROUND: Long noncoding RNAs (lncRNAs) are found to be novel biomarkers for hepatocellular carcinoma (HCC) and play an important role in tumor progression. We established a genomic instability-related long noncoding RNA signature (GIlncSig) as an independent prognosis factor and also investigated its impact on prognosis significance. METHOD: Somatic mutation profiles, clinical characteristics, and RNA sequencing data were obtained from The Cancer Genome Atlas (TCGA) database. Lasso regression was used to construct GIlncSig. KEGG was used to identify the possible biological pathways. ESTIMATE and CIBERSORT algorithms were used to calculate the immune microenvironment scores and proportion of immune cells in HCC patients. The expression of LINC00501 was conducted by qRT-PCR. Cell proliferation was measured by EdU, CCK-8, and colony formation assay, and cell migration and invasion ability were measured by wound healing and transwell assay. RESULTS: 135 genomic instability-related lncRNAs were identified, and GIlncSig was constructed using 13 independent lncRNAs with significant prognosis values. Based on the GIlncSig, high-risk group had worse clinical outcomes than low-risk group, while high-risk group also had higher UBQLN4, KRAS, ARID1A, and PIK3CA expression. Moreover, the efficiency of GIlncSig combining single-gene mutation was higher than single-gene mutation alone such as TP53. The results of CIBERSORT and ESTIMATE showed that GS group and GU group had significantly different immune infiltration. In addition, LINC00501 was identified as a potential biomarker in HCC with strong relationship with clinical characteristics. In vitro assays validated that LINC00501 promoted proliferation and migration of HCC cell lines. CONCLUSION: Our results showed that GIlncSig serves as a potential independent prognosis factor to predict HCC patients' prognosis for exploring potential mechanism and therapy strategy. Besides, LINC00501 plays an important role in the progression of HCC, which may be a potential therapy target. |
format | Online Article Text |
id | pubmed-9444385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94443852022-09-06 A Genomic Instability-Related Long Noncoding RNA Signature for Predicting Hepatocellular Carcinoma Prognosis Lu, Jing Cao, Wanyue He, Zeping Wang, Haoyu Hao, Jialing Xu, Junming J Oncol Research Article BACKGROUND: Long noncoding RNAs (lncRNAs) are found to be novel biomarkers for hepatocellular carcinoma (HCC) and play an important role in tumor progression. We established a genomic instability-related long noncoding RNA signature (GIlncSig) as an independent prognosis factor and also investigated its impact on prognosis significance. METHOD: Somatic mutation profiles, clinical characteristics, and RNA sequencing data were obtained from The Cancer Genome Atlas (TCGA) database. Lasso regression was used to construct GIlncSig. KEGG was used to identify the possible biological pathways. ESTIMATE and CIBERSORT algorithms were used to calculate the immune microenvironment scores and proportion of immune cells in HCC patients. The expression of LINC00501 was conducted by qRT-PCR. Cell proliferation was measured by EdU, CCK-8, and colony formation assay, and cell migration and invasion ability were measured by wound healing and transwell assay. RESULTS: 135 genomic instability-related lncRNAs were identified, and GIlncSig was constructed using 13 independent lncRNAs with significant prognosis values. Based on the GIlncSig, high-risk group had worse clinical outcomes than low-risk group, while high-risk group also had higher UBQLN4, KRAS, ARID1A, and PIK3CA expression. Moreover, the efficiency of GIlncSig combining single-gene mutation was higher than single-gene mutation alone such as TP53. The results of CIBERSORT and ESTIMATE showed that GS group and GU group had significantly different immune infiltration. In addition, LINC00501 was identified as a potential biomarker in HCC with strong relationship with clinical characteristics. In vitro assays validated that LINC00501 promoted proliferation and migration of HCC cell lines. CONCLUSION: Our results showed that GIlncSig serves as a potential independent prognosis factor to predict HCC patients' prognosis for exploring potential mechanism and therapy strategy. Besides, LINC00501 plays an important role in the progression of HCC, which may be a potential therapy target. Hindawi 2022-08-29 /pmc/articles/PMC9444385/ /pubmed/36072979 http://dx.doi.org/10.1155/2022/3090523 Text en Copyright © 2022 Jing Lu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lu, Jing Cao, Wanyue He, Zeping Wang, Haoyu Hao, Jialing Xu, Junming A Genomic Instability-Related Long Noncoding RNA Signature for Predicting Hepatocellular Carcinoma Prognosis |
title | A Genomic Instability-Related Long Noncoding RNA Signature for Predicting Hepatocellular Carcinoma Prognosis |
title_full | A Genomic Instability-Related Long Noncoding RNA Signature for Predicting Hepatocellular Carcinoma Prognosis |
title_fullStr | A Genomic Instability-Related Long Noncoding RNA Signature for Predicting Hepatocellular Carcinoma Prognosis |
title_full_unstemmed | A Genomic Instability-Related Long Noncoding RNA Signature for Predicting Hepatocellular Carcinoma Prognosis |
title_short | A Genomic Instability-Related Long Noncoding RNA Signature for Predicting Hepatocellular Carcinoma Prognosis |
title_sort | genomic instability-related long noncoding rna signature for predicting hepatocellular carcinoma prognosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444385/ https://www.ncbi.nlm.nih.gov/pubmed/36072979 http://dx.doi.org/10.1155/2022/3090523 |
work_keys_str_mv | AT lujing agenomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT caowanyue agenomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT hezeping agenomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT wanghaoyu agenomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT haojialing agenomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT xujunming agenomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT lujing genomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT caowanyue genomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT hezeping genomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT wanghaoyu genomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT haojialing genomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis AT xujunming genomicinstabilityrelatedlongnoncodingrnasignatureforpredictinghepatocellularcarcinomaprognosis |