The mutated in colorectal cancer (MCC) gene can serve as a potential biomarker of glioblastoma

Front Oncol. 2024 Oct 8:14:1435605. doi: 10.3389/fonc.2024.1435605. eCollection 2024.

Abstract

Introduction: The mutated in colorectal cancer (MCC) gene was initially identified as a candidate tumor suppressor gene in colorectal cancer, acting as a negative regulator of cell cycle progression. However, its functional roles in brain tumors, particularly glioblastoma, remain largely unexplored. This study reveals a significant association between MCC status and glioblastoma.

Methods: We explored MCC expression in the glioblastoma database, patient samples, and cell lines. We investigated the proliferation and migration of the cell lines in MCC gene knockdown using small interfering RNA.

Results: In vitro analyses revealed elevated protein and mRNA levels of MCC in several glioblastoma cell lines (U118MG and T98G). Silencing MCC expression via siRNA-mediated knockdown resulted in increased proliferation and migration of these cell lines. Supporting these findings, analyses of The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and Genotype-Tissue Expression (GTEx) databases confirmed higher MCC expression in glioblastoma tumors than in normal brain tissue. Importantly, we observed that high MCC expression was associated with poor prognosis in glioblastoma patients, highlighting its potential role in disease progression. Additionally, this study identifies a nuclear localization of MCC in the glioblastoma cell line.

Discussion: These findings indicate that MCC expression is significantly upregulated in glioblastoma and may play a role in its pathophysiology, warranting further investigation.

Keywords: MCC; biomarker; brain; cancer; glioblastoma.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was financially supported by research fund of Chungnam National University (2022, S-HK), by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MEST) (NRF-2021R1A2C1008492, NRF-2020R1F1A1049801), by the Korea Government (MSIT) (RS-2023-00277498), and by the Starting growth Technological R&D Program (TIPS Program, (No. S3198556)) funded by the Ministry of SMEs and Startups (MSS, Korea) in 2021. This research also was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (HR20C0025).