Cargando…
Genetic expression and mutational profile analysis in different pathologic stages of hepatocellular carcinoma patients
BACKGROUND: The clinical pathologic stages (stage I, II, III-IV) of hepatocellular carcinoma (HCC) are closely linked to the clinical prognosis of patients. This study aims at investigating the gene expression and mutational profile in different clinical pathologic stages of HCC. METHODS: Based on t...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268469/ https://www.ncbi.nlm.nih.gov/pubmed/34238242 http://dx.doi.org/10.1186/s12885-021-08442-y |
_version_ | 1783720364789989376 |
---|---|
author | Gao, Xingjie Zhao, Chunyan Zhang, Nan Cui, Xiaoteng Ren, Yuanyuan Su, Chao Wu, Shaoyuan Yao, Zhi Yang, Jie |
author_facet | Gao, Xingjie Zhao, Chunyan Zhang, Nan Cui, Xiaoteng Ren, Yuanyuan Su, Chao Wu, Shaoyuan Yao, Zhi Yang, Jie |
author_sort | Gao, Xingjie |
collection | PubMed |
description | BACKGROUND: The clinical pathologic stages (stage I, II, III-IV) of hepatocellular carcinoma (HCC) are closely linked to the clinical prognosis of patients. This study aims at investigating the gene expression and mutational profile in different clinical pathologic stages of HCC. METHODS: Based on the TCGA-LIHC cohort, we utilized a series of analytical approaches, such as statistical analysis, random forest, decision tree, principal component analysis (PCA), to identify the differential gene expression and mutational profiles. The expression patterns of several targeting genes were also verified by analyzing the Chinese HLivH060PG02 HCC cohort, several GEO datasets, HPA database, and diethylnitrosamine-induced HCC mouse model. RESULTS: We identified a series of targeting genes with copy number variation, which is statistically associated with gene expression. Non-synonymous mutations mainly existed in some genes (e.g.,TTN, TP53, CTNNB1). Nevertheless, no association between gene mutation frequency and pathologic stage distribution was detected. The random forest and decision tree modeling analysis data showed a group of genes related to different HCC pathologic stages, including GAS2L3 and SEMA3F. Additionally, our PCA data indicated several genes associated with different pathologic stages, including SNRPA and SNRPD2. Compared with adjacent normal tissues, we observed a highly expressed level of GAS2L3, SNRPA, and SNRPD2 (P = 0.002) genes in HCC tissues of our HLivH060PG02 cohort. We also detected the high expression pattern of GAS2L3, SEMA3F, SNRPA, and SNRPD2 in the datasets of GSE102079, GSE76427, GSE64041, GSE121248, GSE84005, and the qPCR assay using diethylnitrosamine-induced HCC mouse model. Moreover, SEMA3F and SNRPD2 protein were highly stained in the HCC tissues of the HPA database. The high expression level of these four genes was associated with the poor survival prognosis of HCC cases. CONCLUSIONS: Our study provides evidence regarding the gene expression and mutational profile in different clinical pathologic stages of TCGA HCC cases. Identifying four targeting genes, including GAS2L3, SNRPA, SNRPD2, and SEMA3F, offers insight into the molecular mechanisms associated with different prognoses of HCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08442-y. |
format | Online Article Text |
id | pubmed-8268469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82684692021-07-09 Genetic expression and mutational profile analysis in different pathologic stages of hepatocellular carcinoma patients Gao, Xingjie Zhao, Chunyan Zhang, Nan Cui, Xiaoteng Ren, Yuanyuan Su, Chao Wu, Shaoyuan Yao, Zhi Yang, Jie BMC Cancer Research BACKGROUND: The clinical pathologic stages (stage I, II, III-IV) of hepatocellular carcinoma (HCC) are closely linked to the clinical prognosis of patients. This study aims at investigating the gene expression and mutational profile in different clinical pathologic stages of HCC. METHODS: Based on the TCGA-LIHC cohort, we utilized a series of analytical approaches, such as statistical analysis, random forest, decision tree, principal component analysis (PCA), to identify the differential gene expression and mutational profiles. The expression patterns of several targeting genes were also verified by analyzing the Chinese HLivH060PG02 HCC cohort, several GEO datasets, HPA database, and diethylnitrosamine-induced HCC mouse model. RESULTS: We identified a series of targeting genes with copy number variation, which is statistically associated with gene expression. Non-synonymous mutations mainly existed in some genes (e.g.,TTN, TP53, CTNNB1). Nevertheless, no association between gene mutation frequency and pathologic stage distribution was detected. The random forest and decision tree modeling analysis data showed a group of genes related to different HCC pathologic stages, including GAS2L3 and SEMA3F. Additionally, our PCA data indicated several genes associated with different pathologic stages, including SNRPA and SNRPD2. Compared with adjacent normal tissues, we observed a highly expressed level of GAS2L3, SNRPA, and SNRPD2 (P = 0.002) genes in HCC tissues of our HLivH060PG02 cohort. We also detected the high expression pattern of GAS2L3, SEMA3F, SNRPA, and SNRPD2 in the datasets of GSE102079, GSE76427, GSE64041, GSE121248, GSE84005, and the qPCR assay using diethylnitrosamine-induced HCC mouse model. Moreover, SEMA3F and SNRPD2 protein were highly stained in the HCC tissues of the HPA database. The high expression level of these four genes was associated with the poor survival prognosis of HCC cases. CONCLUSIONS: Our study provides evidence regarding the gene expression and mutational profile in different clinical pathologic stages of TCGA HCC cases. Identifying four targeting genes, including GAS2L3, SNRPA, SNRPD2, and SEMA3F, offers insight into the molecular mechanisms associated with different prognoses of HCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08442-y. BioMed Central 2021-07-08 /pmc/articles/PMC8268469/ /pubmed/34238242 http://dx.doi.org/10.1186/s12885-021-08442-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Gao, Xingjie Zhao, Chunyan Zhang, Nan Cui, Xiaoteng Ren, Yuanyuan Su, Chao Wu, Shaoyuan Yao, Zhi Yang, Jie Genetic expression and mutational profile analysis in different pathologic stages of hepatocellular carcinoma patients |
title | Genetic expression and mutational profile analysis in different pathologic stages of hepatocellular carcinoma patients |
title_full | Genetic expression and mutational profile analysis in different pathologic stages of hepatocellular carcinoma patients |
title_fullStr | Genetic expression and mutational profile analysis in different pathologic stages of hepatocellular carcinoma patients |
title_full_unstemmed | Genetic expression and mutational profile analysis in different pathologic stages of hepatocellular carcinoma patients |
title_short | Genetic expression and mutational profile analysis in different pathologic stages of hepatocellular carcinoma patients |
title_sort | genetic expression and mutational profile analysis in different pathologic stages of hepatocellular carcinoma patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268469/ https://www.ncbi.nlm.nih.gov/pubmed/34238242 http://dx.doi.org/10.1186/s12885-021-08442-y |
work_keys_str_mv | AT gaoxingjie geneticexpressionandmutationalprofileanalysisindifferentpathologicstagesofhepatocellularcarcinomapatients AT zhaochunyan geneticexpressionandmutationalprofileanalysisindifferentpathologicstagesofhepatocellularcarcinomapatients AT zhangnan geneticexpressionandmutationalprofileanalysisindifferentpathologicstagesofhepatocellularcarcinomapatients AT cuixiaoteng geneticexpressionandmutationalprofileanalysisindifferentpathologicstagesofhepatocellularcarcinomapatients AT renyuanyuan geneticexpressionandmutationalprofileanalysisindifferentpathologicstagesofhepatocellularcarcinomapatients AT suchao geneticexpressionandmutationalprofileanalysisindifferentpathologicstagesofhepatocellularcarcinomapatients AT wushaoyuan geneticexpressionandmutationalprofileanalysisindifferentpathologicstagesofhepatocellularcarcinomapatients AT yaozhi geneticexpressionandmutationalprofileanalysisindifferentpathologicstagesofhepatocellularcarcinomapatients AT yangjie geneticexpressionandmutationalprofileanalysisindifferentpathologicstagesofhepatocellularcarcinomapatients |