Algorithmically deduced FREM2 molecular pathway is a potent grade and survival biomarker of human gliomas

Zolotovskaia, Marianna (author), Zottel, Alja (author), Šamec, Neja (author), Jovchevska, Ivana (author)

Gliomas are the most common malignant brain tumors with high mortality rates. Recently we showed that the FREM2 gene has a role in glioblastoma progression. Here we reconstructed the FREM2 molecular pathway using the human interactome model. We assessed the biomarker capacity of FREM2 expression and its pathway as the overall survival (OS) and progression-free survival (PFS) biomarkers. To this end, we used three literature and one experimental RNA sequencing datasets collectively covering 566 glioblastomas (GBM) and 1097 low-grade gliomas (LGG). The activation level of deduced FREM2 pathway showed strong biomarker characteristics and significantly outperformed the FREM2 expression level itself. For all relevant datasets, it could robustly discriminate GBM and LGG (p < 1.63 × 10$^{−13}$, AUC > 0.74). High FREM2 pathway activation level was associated with poor OS in LGG (p < 0.001), and low PFS in LGG (p < 0.001) and GBM (p < 0.05). FREM2 pathway activation level was poor prognosis biomarker for OS (p < 0.05) and PFS (p < 0.05) in LGG with IDH mutation, for PFS in LGG with wild type IDH (p < 0.001) and mutant IDH with 1p/19q codeletion (p < 0.05), in GBM with unmethylated MGMT (p < 0.05), and in GBM with wild type IDH (p < 0.05). Thus, we conclude that the activation level of the FREM2 pathway is a potent new-generation diagnostic and prognostic biomarker for multiple molecular subtypes of GBM and LGG.

• Language: English
• Keywords: glioma, glioblastoma, survival prognosis, FREM2, algorithmically deduced molecular pathway, transcriptomics
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: MF - Faculty of Medicine
• Publication status: Published
• Publication version: Version of Record
• Year: 2021
• Number of pages: 21 str.
• Numbering: Vol. 13, iss. 16, art. 4117
• PID: 20.500.12556/RUL-135973
• UDC: 616-006
• ISSN on article: 2072-6694
• DOI: 10.3390/cancers13164117
• COBISS.SI-ID: 73102083
• Publication date in RUL: 05.04.2022

Record is a part of a journal

• Title: Cancers
• Shortened title: Cancers
• Publisher: MDPI
• ISSN: 2072-6694
• COBISS.SI-ID: 517914137

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 16.08.2021

Secondary language

• Language: Slovenian
• Keywords: gliom, glioblastom, napoved preživetja