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Integrative Analysis to Identify Genes Associated with Stemness and Immune Infiltration in Glioblastoma
Manipal Acad Higher Educ, Manipal Inst Technol, Dept Biotechnol, Manipal 576104, Karnataka, India..ORCID iD: 0000-0001-9321-2923
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST). KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0003-1813-7606
Manipal Acad Higher Educ, Manipal Inst Technol, Dept Biotechnol, Manipal 576104, Karnataka, India..ORCID iD: 0000-0002-6330-7355
2021 (English)In: Cells, E-ISSN 2073-4409, Vol. 10, no 10, article id 2765Article in journal (Refereed) Published
Abstract [en]

It is imperative to identify the mechanisms that confer stemness to the cancer cells for more effective targeting. Moreover, there are not many studies on the link between stemness characteristics and the immune response in tumours. Therefore, in the current study involving GBM, we started with the study of BIRC5 (one of the rare genes differentially expressed in normal and cancer cells) and CXCR4 (gene involved in the survival and proliferation of CSCs). Together, these genes have not been systematically explored. We used a set of 27 promoter methylated regions in GBM. Our analysis showed that four genes corresponding to these regions, namely EOMES, BDNF, HLA-A, and PECAM1, were involved with BIRC5 and CXCR4. Interestingly, we found EOMES to be very significantly involved in stemness and immunology and it was positively correlated to CXCR4. Additionally, BDNF, which was significant in methylation, was negatively correlated to BIRC5.

Place, publisher, year, edition, pages
MDPI AG , 2021. Vol. 10, no 10, article id 2765
Keywords [en]
integrative analysis, network analysis, DNA methylation, stemness, immune infiltration, GBM
National Category
Cancer and Oncology Cell and Molecular Biology
Identifiers
URN: urn:nbn:se:kth:diva-305109DOI: 10.3390/cells10102765ISI: 000716167200001PubMedID: 34685742Scopus ID: 2-s2.0-85117078176OAI: oai:DiVA.org:kth-305109DiVA, id: diva2:1613427
Note

QC 20211122

Available from: 2021-11-22 Created: 2021-11-22 Last updated: 2022-06-25Bibliographically approved

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Agarwal, Prasoon

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