2021
DOI: 10.5114/pjp.2021.106439
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Molecular classification of glioblastoma based on immunohistochemical expression of EGFR, PDGFRA, NF1, IDH1, p53 and PTEN proteins

Abstract: Glioblastoma (GBM) is the most common and most aggressive primary tumor of the central nervous system. Current GBM treatments have low effectiveness. This is mainly due to the high degree of heterogeneity of GBM tumors. Despite similarities in the classic microscopic image, these tumors differ significantly in molecular terms. The aim of the study was to classify GBM tumors into one of four molecular types based on the immunohistochemical expression of EGFR, PDGFRA, NF1, IDH1, p53 and PTEN proteins and find th… Show more

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Cited by 7 publications
(4 citation statements)
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“…Alterations captured by NGS in two patients were consistent with molecular alterations commonly observed in GBM, including EGFR amplification and mutations in PTEN and NF1 [45][46][47][48]. EGFR amplification has been observed in 57% of GBM and is associated with enhanced tumor cell angiogenesis [49].…”
Section: Discussionsupporting
confidence: 67%
“…Alterations captured by NGS in two patients were consistent with molecular alterations commonly observed in GBM, including EGFR amplification and mutations in PTEN and NF1 [45][46][47][48]. EGFR amplification has been observed in 57% of GBM and is associated with enhanced tumor cell angiogenesis [49].…”
Section: Discussionsupporting
confidence: 67%
“…CL and PN subtypes had a profile characteristic of highly proliferative cells [20,114] and indeed WG4, WG9, WG14 cells had a high proliferation index. Transcriptional analysis is not routinely feasible in clinical setting, therefore a simplified method based on the IHC expression of some proteins was proposed [75,76,115,116]. In this study, we evaluated seven proteins (EGFR, PDGFRa, IDH1 R132H , TP53, CHI3L1/YKL40, CD44 and phSTAT3) as molecular markers for GBM subtyping.…”
Section: Discussionmentioning
confidence: 99%
“…Immunohistochemical (IHC) staining of subtype-specific marker genes (EGFR, PDGFRA, NF1, IDH1, P53, CD44, MERTK, and PTEN) can indicate the degree of malignancy in patients with glioma and aid in predicting their clinical prognosis. Likewise, simple IHC staining of GBM markers can help distinguish tumor subtypes in clinical samples and may facilitate analysis of large sample sizes [16][17][18] . Furthermore, 2 independent studies have reported the development of radiomics-based assays to better predict molecular subtypes and prognosis in patients with GBM 19,20 .…”
Section: Molecular Classification Of Gbmmentioning
confidence: 99%