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Comprehensive omics analyses profile genesets related with tumor heterogeneity of multifocal glioblastomas and reveal LIF/CCL2 as biomarkers for mesenchymal subtype
Rationale: Around 10%-20% patients with glioblastoma (GBM) are diagnosed with more than one tumor lesions or multifocal GBM (mGBM). However, the understanding on genetic, DNA methylomic, and transcriptomic characteristics of mGBM is still limited. Methods: In this study, we collected nine tumor foci...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690928/ https://www.ncbi.nlm.nih.gov/pubmed/34987659 http://dx.doi.org/10.7150/thno.65739 |
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author | Lv, Sheng-Qing Fu, Zhen Yang, Lin Li, Qing-Rui Zhu, Jiang Gai, Qu-Jing Mao, Min He, Jiang Qin, Yan Yao, Xiao-Xue Lan, Xi Wang, Yan-Xia Lu, Hui-Min Xiang, Yan Zhang, Zuo-Xin Huang, Guo-Hao Yang, Wei Kang, Ping Sun, Zhijian Shi, Yu Yao, Xiao-Hong Bian, Xiu-Wu Wang, Yan |
author_facet | Lv, Sheng-Qing Fu, Zhen Yang, Lin Li, Qing-Rui Zhu, Jiang Gai, Qu-Jing Mao, Min He, Jiang Qin, Yan Yao, Xiao-Xue Lan, Xi Wang, Yan-Xia Lu, Hui-Min Xiang, Yan Zhang, Zuo-Xin Huang, Guo-Hao Yang, Wei Kang, Ping Sun, Zhijian Shi, Yu Yao, Xiao-Hong Bian, Xiu-Wu Wang, Yan |
author_sort | Lv, Sheng-Qing |
collection | PubMed |
description | Rationale: Around 10%-20% patients with glioblastoma (GBM) are diagnosed with more than one tumor lesions or multifocal GBM (mGBM). However, the understanding on genetic, DNA methylomic, and transcriptomic characteristics of mGBM is still limited. Methods: In this study, we collected nine tumor foci from three mGBM patients followed by whole genome sequencing, whole genome bisulfite sequencing, RNA sequencing, and immunohistochemistry. The data were further examined using public GBM databases and GBM cell line. Results: Analysis on genetic data confirmed common features of GBM, including gain of chr.7 and loss of chr.10, loss of critical tumor suppressors, high frequency of PDGFA and EGFR amplification. Through profiling DNA methylome of individual tumor foci, we found that promoter methylation status of genes involved in detection of chemical stimulus, immune response, and Hippo/YAP1 pathway was significantly changed in mGBM. Although both CNV and promoter methylation alteration were involved in heterogeneity of different tumor foci from same patients, more CNV events than promoter hypomethylation events were shared by different tumor foci, implying CNV were relatively earlier than promoter methylation alteration during evolution of different tumor foci from same mGBM. Moreover, different tumor foci from same mGBM assumed different molecular subtypes and mesenchymal subtype was prevalent in mGBM, which might explain the worse prognosis of mGBM than single GBM. Interestingly, we noticed that LIF and CCL2 was tightly correlated with mesenchymal subtype tumor focus in mGBM and predicted poor survival of GBM patients. Treatment with LIF and CCL2 produced mesenchymal-like transcriptome in GBM cells. Conclusions: Together, our work herein comprehensively profiled multi-omics features of mGBM and emphasized that components of extracellular microenvironment, such as LIF and CCL2, contributed to the evolution and prognosis of tumor foci in mGBM patients. |
format | Online Article Text |
id | pubmed-8690928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-86909282022-01-04 Comprehensive omics analyses profile genesets related with tumor heterogeneity of multifocal glioblastomas and reveal LIF/CCL2 as biomarkers for mesenchymal subtype Lv, Sheng-Qing Fu, Zhen Yang, Lin Li, Qing-Rui Zhu, Jiang Gai, Qu-Jing Mao, Min He, Jiang Qin, Yan Yao, Xiao-Xue Lan, Xi Wang, Yan-Xia Lu, Hui-Min Xiang, Yan Zhang, Zuo-Xin Huang, Guo-Hao Yang, Wei Kang, Ping Sun, Zhijian Shi, Yu Yao, Xiao-Hong Bian, Xiu-Wu Wang, Yan Theranostics Research Paper Rationale: Around 10%-20% patients with glioblastoma (GBM) are diagnosed with more than one tumor lesions or multifocal GBM (mGBM). However, the understanding on genetic, DNA methylomic, and transcriptomic characteristics of mGBM is still limited. Methods: In this study, we collected nine tumor foci from three mGBM patients followed by whole genome sequencing, whole genome bisulfite sequencing, RNA sequencing, and immunohistochemistry. The data were further examined using public GBM databases and GBM cell line. Results: Analysis on genetic data confirmed common features of GBM, including gain of chr.7 and loss of chr.10, loss of critical tumor suppressors, high frequency of PDGFA and EGFR amplification. Through profiling DNA methylome of individual tumor foci, we found that promoter methylation status of genes involved in detection of chemical stimulus, immune response, and Hippo/YAP1 pathway was significantly changed in mGBM. Although both CNV and promoter methylation alteration were involved in heterogeneity of different tumor foci from same patients, more CNV events than promoter hypomethylation events were shared by different tumor foci, implying CNV were relatively earlier than promoter methylation alteration during evolution of different tumor foci from same mGBM. Moreover, different tumor foci from same mGBM assumed different molecular subtypes and mesenchymal subtype was prevalent in mGBM, which might explain the worse prognosis of mGBM than single GBM. Interestingly, we noticed that LIF and CCL2 was tightly correlated with mesenchymal subtype tumor focus in mGBM and predicted poor survival of GBM patients. Treatment with LIF and CCL2 produced mesenchymal-like transcriptome in GBM cells. Conclusions: Together, our work herein comprehensively profiled multi-omics features of mGBM and emphasized that components of extracellular microenvironment, such as LIF and CCL2, contributed to the evolution and prognosis of tumor foci in mGBM patients. Ivyspring International Publisher 2022-01-01 /pmc/articles/PMC8690928/ /pubmed/34987659 http://dx.doi.org/10.7150/thno.65739 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Lv, Sheng-Qing Fu, Zhen Yang, Lin Li, Qing-Rui Zhu, Jiang Gai, Qu-Jing Mao, Min He, Jiang Qin, Yan Yao, Xiao-Xue Lan, Xi Wang, Yan-Xia Lu, Hui-Min Xiang, Yan Zhang, Zuo-Xin Huang, Guo-Hao Yang, Wei Kang, Ping Sun, Zhijian Shi, Yu Yao, Xiao-Hong Bian, Xiu-Wu Wang, Yan Comprehensive omics analyses profile genesets related with tumor heterogeneity of multifocal glioblastomas and reveal LIF/CCL2 as biomarkers for mesenchymal subtype |
title | Comprehensive omics analyses profile genesets related with tumor heterogeneity of multifocal glioblastomas and reveal LIF/CCL2 as biomarkers for mesenchymal subtype |
title_full | Comprehensive omics analyses profile genesets related with tumor heterogeneity of multifocal glioblastomas and reveal LIF/CCL2 as biomarkers for mesenchymal subtype |
title_fullStr | Comprehensive omics analyses profile genesets related with tumor heterogeneity of multifocal glioblastomas and reveal LIF/CCL2 as biomarkers for mesenchymal subtype |
title_full_unstemmed | Comprehensive omics analyses profile genesets related with tumor heterogeneity of multifocal glioblastomas and reveal LIF/CCL2 as biomarkers for mesenchymal subtype |
title_short | Comprehensive omics analyses profile genesets related with tumor heterogeneity of multifocal glioblastomas and reveal LIF/CCL2 as biomarkers for mesenchymal subtype |
title_sort | comprehensive omics analyses profile genesets related with tumor heterogeneity of multifocal glioblastomas and reveal lif/ccl2 as biomarkers for mesenchymal subtype |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690928/ https://www.ncbi.nlm.nih.gov/pubmed/34987659 http://dx.doi.org/10.7150/thno.65739 |
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