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Bioinformatic Analysis of Hepatocellular Carcinoma Cell Lines to the Efficacy of Nimotuzumab
INTRODUCTION: Hepatocellular carcinoma (HCC) continues to be a cancer with rising incidence, high mortality, and recurrence rate. The therapeutic effects on HCC are not satisfactory currently. Epidermal growth factor receptor (EGFR) is an important factor, while anti-EGFR agencies have not shown ide...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217909/ https://www.ncbi.nlm.nih.gov/pubmed/34168487 http://dx.doi.org/10.2147/IJGM.S312770 |
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author | Wang, Yu Zhang, Meng Gong, Yixin Wu, Qiyan Zhang, Lijun Jiao, Shunchang |
author_facet | Wang, Yu Zhang, Meng Gong, Yixin Wu, Qiyan Zhang, Lijun Jiao, Shunchang |
author_sort | Wang, Yu |
collection | PubMed |
description | INTRODUCTION: Hepatocellular carcinoma (HCC) continues to be a cancer with rising incidence, high mortality, and recurrence rate. The therapeutic effects on HCC are not satisfactory currently. Epidermal growth factor receptor (EGFR) is an important factor, while anti-EGFR agencies have not shown ideal results in HCC. MATERIALS AND METHODS: We tested efficacy of nimotuzumab and EGFR expression on cell surface in six HCC cell lines (Hep 3B2.1–7, Li-7, PLC/PRF/5, SK-HEP-1, SNU-182, and SNU-387). Then, we analyzed RNA sequences of every cell line and performed a bioinformatic analysis. Differentially expressed genes (DEGs) were analyzed. The data, TCGA-LIHC from The Cancer Genome Atlas (TCGA) and GSE102079 from Gene Expression Omnibus (GEO), were used to analyse DEGs of Hoshida subclass. RESULTS: Hep 3B2.1–7 and PLC/PRF/5 were sensitive to nimotuzumab whereas Li-7, SK-HEP-1, SNU-182, and SNU-387 cell lines were resistant. Then, we compared the DEGs between sensitive and resistant group cell lines. We enriched DEGs in GO and KEGG and performed GSEA in each group. Genes in two groups did not show obvious different expressions in EGFR pathways, while Hoshida subclass of HCC seemed to associate with the efficacy of nimotuzumab in that S2 and S3 showed better therapeutic effect than S1. Therefore, we analyzed genes in human tumor samples which were from TCGA-LIHC and GSE102079. We found that COL1A1, COL1A2, COL3A1, and MMP9 were the focus DEGs of S1 and S2 & S3 related to EGFR. CONCLUSION: The efficacy of nimotuzumab in HCC did not show direct relevance with EGFR protein expression and EGFR-related pathway. However, efficacy could associate with Hoshida subclass of HCC. Three ECM genes (COL1A1, COL1A2, COL3A1) and MMP9 were paid attention, as they might play important roles in the curative effect of nimotuzumab in HCC. |
format | Online Article Text |
id | pubmed-8217909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-82179092021-06-23 Bioinformatic Analysis of Hepatocellular Carcinoma Cell Lines to the Efficacy of Nimotuzumab Wang, Yu Zhang, Meng Gong, Yixin Wu, Qiyan Zhang, Lijun Jiao, Shunchang Int J Gen Med Original Research INTRODUCTION: Hepatocellular carcinoma (HCC) continues to be a cancer with rising incidence, high mortality, and recurrence rate. The therapeutic effects on HCC are not satisfactory currently. Epidermal growth factor receptor (EGFR) is an important factor, while anti-EGFR agencies have not shown ideal results in HCC. MATERIALS AND METHODS: We tested efficacy of nimotuzumab and EGFR expression on cell surface in six HCC cell lines (Hep 3B2.1–7, Li-7, PLC/PRF/5, SK-HEP-1, SNU-182, and SNU-387). Then, we analyzed RNA sequences of every cell line and performed a bioinformatic analysis. Differentially expressed genes (DEGs) were analyzed. The data, TCGA-LIHC from The Cancer Genome Atlas (TCGA) and GSE102079 from Gene Expression Omnibus (GEO), were used to analyse DEGs of Hoshida subclass. RESULTS: Hep 3B2.1–7 and PLC/PRF/5 were sensitive to nimotuzumab whereas Li-7, SK-HEP-1, SNU-182, and SNU-387 cell lines were resistant. Then, we compared the DEGs between sensitive and resistant group cell lines. We enriched DEGs in GO and KEGG and performed GSEA in each group. Genes in two groups did not show obvious different expressions in EGFR pathways, while Hoshida subclass of HCC seemed to associate with the efficacy of nimotuzumab in that S2 and S3 showed better therapeutic effect than S1. Therefore, we analyzed genes in human tumor samples which were from TCGA-LIHC and GSE102079. We found that COL1A1, COL1A2, COL3A1, and MMP9 were the focus DEGs of S1 and S2 & S3 related to EGFR. CONCLUSION: The efficacy of nimotuzumab in HCC did not show direct relevance with EGFR protein expression and EGFR-related pathway. However, efficacy could associate with Hoshida subclass of HCC. Three ECM genes (COL1A1, COL1A2, COL3A1) and MMP9 were paid attention, as they might play important roles in the curative effect of nimotuzumab in HCC. Dove 2021-06-17 /pmc/articles/PMC8217909/ /pubmed/34168487 http://dx.doi.org/10.2147/IJGM.S312770 Text en © 2021 Wang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Wang, Yu Zhang, Meng Gong, Yixin Wu, Qiyan Zhang, Lijun Jiao, Shunchang Bioinformatic Analysis of Hepatocellular Carcinoma Cell Lines to the Efficacy of Nimotuzumab |
title | Bioinformatic Analysis of Hepatocellular Carcinoma Cell Lines to the Efficacy of Nimotuzumab |
title_full | Bioinformatic Analysis of Hepatocellular Carcinoma Cell Lines to the Efficacy of Nimotuzumab |
title_fullStr | Bioinformatic Analysis of Hepatocellular Carcinoma Cell Lines to the Efficacy of Nimotuzumab |
title_full_unstemmed | Bioinformatic Analysis of Hepatocellular Carcinoma Cell Lines to the Efficacy of Nimotuzumab |
title_short | Bioinformatic Analysis of Hepatocellular Carcinoma Cell Lines to the Efficacy of Nimotuzumab |
title_sort | bioinformatic analysis of hepatocellular carcinoma cell lines to the efficacy of nimotuzumab |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217909/ https://www.ncbi.nlm.nih.gov/pubmed/34168487 http://dx.doi.org/10.2147/IJGM.S312770 |
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