Identification of Prognostic Biomarkers for Suppressing Tumorigenesis and Metastasis of Hepatocellular Carcinoma through Transcriptome Analysis
Cancer is one of the deadliest diseases developed through tumorigenesis and could be fatal if it reaches the metastatic phase. The novelty of the present investigation is to explore the prognostic biomarkers in hepatocellular carcinoma (HCC) that could develop glioblastoma multiforme (GBM) due to me...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/13/5/965 |
| _version_ | 1797615494057951232 |
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| author | Divya Mishra Ashish Mishra Sachchida Nand Rai Emanuel Vamanu Mohan P. Singh |
| author_facet | Divya Mishra Ashish Mishra Sachchida Nand Rai Emanuel Vamanu Mohan P. Singh |
| author_sort | Divya Mishra |
| collection | DOAJ |
| description | Cancer is one of the deadliest diseases developed through tumorigenesis and could be fatal if it reaches the metastatic phase. The novelty of the present investigation is to explore the prognostic biomarkers in hepatocellular carcinoma (HCC) that could develop glioblastoma multiforme (GBM) due to metastasis. The analysis was conducted using RNA-seq datasets for both HCC (PRJNA494560 and PRJNA347513) and GBM (PRJNA494560 and PRJNA414787) from Gene Expression Omnibus (GEO). This study identified 13 hub genes found to be overexpressed in both GBM and HCC. A promoter methylation study showed these genes to be hypomethylated. Validation through genetic alteration and missense mutations resulted in chromosomal instability, leading to improper chromosome segregation, causing aneuploidy. A 13-gene predictive model was obtained and validated using a KM plot. These hub genes could be prognostic biomarkers and potential therapeutic targets, inhibition of which could suppress tumorigenesis and metastasis. |
| first_indexed | 2024-03-11T07:27:09Z |
| format | Article |
| id | doaj.art-08339830e7144c36bfc0eaea20e37364 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-11T07:27:09Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-08339830e7144c36bfc0eaea20e373642023-11-17T07:30:36ZengMDPI AGDiagnostics2075-44182023-03-0113596510.3390/diagnostics13050965Identification of Prognostic Biomarkers for Suppressing Tumorigenesis and Metastasis of Hepatocellular Carcinoma through Transcriptome AnalysisDivya Mishra0Ashish Mishra1Sachchida Nand Rai2Emanuel Vamanu3Mohan P. Singh4Centre of Bioinformatics, Affiliated University of Allahabad, Prayagraj 211002, IndiaCentre of Bioinformatics, Affiliated University of Allahabad, Prayagraj 211002, IndiaCentre of Biotechnology, Affiliated University of Allahabad, Prayagraj 211002, IndiaFaculty of Biotechnology, University of Agricultural Sciences and Veterinary Medicine, 011464 Bucharest, RomaniaCentre of Biotechnology, Affiliated University of Allahabad, Prayagraj 211002, IndiaCancer is one of the deadliest diseases developed through tumorigenesis and could be fatal if it reaches the metastatic phase. The novelty of the present investigation is to explore the prognostic biomarkers in hepatocellular carcinoma (HCC) that could develop glioblastoma multiforme (GBM) due to metastasis. The analysis was conducted using RNA-seq datasets for both HCC (PRJNA494560 and PRJNA347513) and GBM (PRJNA494560 and PRJNA414787) from Gene Expression Omnibus (GEO). This study identified 13 hub genes found to be overexpressed in both GBM and HCC. A promoter methylation study showed these genes to be hypomethylated. Validation through genetic alteration and missense mutations resulted in chromosomal instability, leading to improper chromosome segregation, causing aneuploidy. A 13-gene predictive model was obtained and validated using a KM plot. These hub genes could be prognostic biomarkers and potential therapeutic targets, inhibition of which could suppress tumorigenesis and metastasis.https://www.mdpi.com/2075-4418/13/5/965hepatocellular carcinomas (HCC)glioblastoma multiforme (GBM)metastasisRNA-seq analysishub genecox regression analysis |
| spellingShingle | Divya Mishra Ashish Mishra Sachchida Nand Rai Emanuel Vamanu Mohan P. Singh Identification of Prognostic Biomarkers for Suppressing Tumorigenesis and Metastasis of Hepatocellular Carcinoma through Transcriptome Analysis Diagnostics hepatocellular carcinomas (HCC) glioblastoma multiforme (GBM) metastasis RNA-seq analysis hub gene cox regression analysis |
| title | Identification of Prognostic Biomarkers for Suppressing Tumorigenesis and Metastasis of Hepatocellular Carcinoma through Transcriptome Analysis |
| title_full | Identification of Prognostic Biomarkers for Suppressing Tumorigenesis and Metastasis of Hepatocellular Carcinoma through Transcriptome Analysis |
| title_fullStr | Identification of Prognostic Biomarkers for Suppressing Tumorigenesis and Metastasis of Hepatocellular Carcinoma through Transcriptome Analysis |
| title_full_unstemmed | Identification of Prognostic Biomarkers for Suppressing Tumorigenesis and Metastasis of Hepatocellular Carcinoma through Transcriptome Analysis |
| title_short | Identification of Prognostic Biomarkers for Suppressing Tumorigenesis and Metastasis of Hepatocellular Carcinoma through Transcriptome Analysis |
| title_sort | identification of prognostic biomarkers for suppressing tumorigenesis and metastasis of hepatocellular carcinoma through transcriptome analysis |
| topic | hepatocellular carcinomas (HCC) glioblastoma multiforme (GBM) metastasis RNA-seq analysis hub gene cox regression analysis |
| url | https://www.mdpi.com/2075-4418/13/5/965 |
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