MCM4 is a novel prognostic biomarker and promotes cancer cell growth in glioma

被引:8
作者
Yang, Shu [2 ]
Yuan, Yixiao [6 ]
Ren, Wenjun [1 ]
Wang, Haiyu [1 ]
Zhao, Zhong [2 ]
Zhao, Heng [3 ]
Zhao, Qizhe [4 ]
Chen, Xi [5 ]
Jiang, Xiulin [7 ]
Zhang, Lei [2 ]
机构
[1] Affiliated Hosp Kunming Univ Sci & Technol, Peoples Hosp Yunnan Prov 1, Dept Cardiovasc Surg, Kunming, Yunnan, Peoples R China
[2] Affiliated Hosp Kunming Univ Sci & Technol, Peoples Hosp Yunnan Prov 1, Dept Neurol, Kunming, Yunnan, Peoples R China
[3] Affiliated Hosp Kunming Univ Sci & Technol, Peoples Hosp Yunnan Prov 1, Dept Neurosurg, Kunming, Yunnan, Peoples R China
[4] Second Affiliated Hosp Kunming Med Univ, Dept Urol, Kunming, Peoples R China
[5] Second Affiliated Hosp Kunming Med Univ, Dept Neurosurg 1, Kunming, Peoples R China
[6] First Affiliated Hosp Chongqing Med Univ, Key Lab Mol Oncol & Epigenet, Chongqing, Peoples R China
[7] Univ Chinese Acad Sci, Kunming Coll Life Sci, Beijing, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2022年 / 12卷
关键词
glioma; MCM family; prognostic model; biomarker; immune infiltration; diagnosis; GENE-EXPRESSION; PROLIFERATION; RESOURCE; MARKER; SERVER;
D O I
10.3389/fonc.2022.1004324
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundGliomas account for 75% of all primary malignant brain tumors in adults and result in high mortality. Accumulated evidence has declared the minichromosome maintenance protein complex (MCM) gene family plays a critical role in modulating the cell cycle and DNA replication stress. However, the biological function and clinic characterization of nine MCM members in low-grade glioma are not yet clarified. MethodsIn this study, we utilized diverse public databases, including The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), Rembrandt, Human Protein Atlas (HPA), Linkedomics, cbioportal, Tumor and Immune System Interaction Database (TISIDB), single-sample GSEA (ssGSEA), Tumor Immune Estimation Resource (TIMER), Genomics of Drug Sensitivity in Cancer (GDSC) and Cancer Therapeutics Response Portal databases to explore the mRNA and protein expression profiles, gene mutation, clinical features, diagnosis, prognosis, signaling pathway, tumor mutational burden (TMB), immune subtype, immune cell infiltration, immune modulator and drug sensitivity of nine MCMs. Afterward, qRT-PCR was utilized to detect the expression of the MCM family in glioblastoma multiforme (GBM) cell lines. The one-, three-, or five-year survival rate was predicted by utilizing a nomogram established by cox proportional hazard regression. ResultsIn this study, we found that nine MCMs were consistently up-regulated in glioma tissues and glioma cell lines. Elevated nine MCMs expressions were significantly correlated with a higher tumor stage, isocitrate dehydrogenase (IDH) mutates, 1p/19q codeletion, histological type, and primary therapy outcome. Survival analyses showed that higher expression of MCM2-MCM8 (minichromosome maintenance protein2-8) and MCM10 (minichromosome maintenance protein 10) were linked with poor overall survival (OS) and progression-free survival (PFS) in glioma patients. On the other hand, up-regulated MCM2-MCM8 and MCM10 were significantly associated with shorter disease-specific survival (DSS) in glioma patients. Univariate and multivariate analyses revealed that MCM2 (minichromosome maintenance protein2), MCM4 (minichromosome maintenance protein 4), MCM6 (minichromosome maintenance protein 6), MCM7 (minichromosome maintenance protein 7) expression and tumor grade, 1p/19q codeletion, age, and primary therapy outcome were independent factors correlated with the clinical outcome of glioma patients. More importantly, a prognostic MCMs model constructed using the above five prognostic genes could predict the overall survival of glioma patients with medium-to-high accuracy. Furthermore, functional enrichment analysis indicated that MCMs principal participated in regulating cell cycle and DNA replication. DNA copy number variation (CNV) and DNA methylation significantly affect the expression of MCMs. Finally, we uncover that MCMs expression is highly correlated with immune cell infiltration, immune modulator, TMB, and drug sensitivity. ConclusionsIn summary, this finding confirmed that MCM4 is a potential target of precision therapy for patients with glioma.
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页数:23
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共 47 条
  • [31] Predictive Biomarkers for Immune Checkpoint Inhibitors in Metastatic Breast Cancer
    Sivapiragasam, Abirami
    Kumar, Prashanth Ashok
    Sokol, Ethan S.
    Albacker, Lee A.
    Killian, Jonathan K.
    Ramkissoon, Shakti H.
    Huang, Richard S. P.
    Severson, Eric A.
    Brown, Charlotte A.
    Danziger, Natalie
    McGregor, Kimberly
    Ross, Jeffrey S.
    [J]. CANCER MEDICINE, 2021, 10 (01): : 53 - 61
  • [32] Sun HH, 2022, MOL CANCER, V21, DOI 10.1186/s12943-022-01533-9
  • [33] MCM proteins in DNA replication
    Tye, BK
    [J]. ANNUAL REVIEW OF BIOCHEMISTRY, 1999, 68 : 649 - 686
  • [34] Tissue-based map of the human proteome
    Uhlen, Mathias
    Fagerberg, Linn
    Hallstroem, Bjoern M.
    Lindskog, Cecilia
    Oksvold, Per
    Mardinoglu, Adil
    Sivertsson, Asa
    Kampf, Caroline
    Sjoestedt, Evelina
    Asplund, Anna
    Olsson, IngMarie
    Edlund, Karolina
    Lundberg, Emma
    Navani, Sanjay
    Szigyarto, Cristina Al-Khalili
    Odeberg, Jacob
    Djureinovic, Dijana
    Takanen, Jenny Ottosson
    Hober, Sophia
    Alm, Tove
    Edqvist, Per-Henrik
    Berling, Holger
    Tegel, Hanna
    Mulder, Jan
    Rockberg, Johan
    Nilsson, Peter
    Schwenk, Jochen M.
    Hamsten, Marica
    von Feilitzen, Kalle
    Forsberg, Mattias
    Persson, Lukas
    Johansson, Fredric
    Zwahlen, Martin
    von Heijne, Gunnar
    Nielsen, Jens
    Ponten, Fredrik
    [J]. SCIENCE, 2015, 347 (6220)
  • [35] LinkedOmics: analyzing multi-omics data within and across 32 cancer types
    Vasaikar, Suhas V.
    Straub, Peter
    Wang, Jing
    Zhang, Bing
    [J]. NUCLEIC ACIDS RESEARCH, 2018, 46 (D1) : D956 - D963
  • [36] LnCeVar: a comprehensive database of genomic variations that disturb ceRNA network regulation
    Wang, Peng
    Li, Xin
    Gao, Yue
    Guo, Qiuyan
    Ning, Shangwei
    Zhang, Yunpeng
    Shang, Shipeng
    Wang, Junwei
    Wang, Yanxia
    Zhi, Hui
    Fang, Ying
    Shen, Weitao
    Zhang, Guangmei
    Chen, Steven Xi
    Li, Xia
    [J]. NUCLEIC ACIDS RESEARCH, 2020, 48 (D1) : D111 - D117
  • [37] MCM family in gastrointestinal cancer and other malignancies: From functional characterization to clinical implication
    Wang, Yifei
    Chen, Huarong
    Zhang, Jinglin
    Cheng, Alfred S. L.
    Yu, Jun
    To, Ka Fai
    Kang, Wei
    [J]. BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER, 2020, 1874 (02):
  • [38] The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function
    Warde-Farley, David
    Donaldson, Sylva L.
    Comes, Ovi
    Zuberi, Khalid
    Badrawi, Rashad
    Chao, Pauline
    Franz, Max
    Grouios, Chris
    Kazi, Farzana
    Lopes, Christian Tannus
    Maitland, Anson
    Mostafavi, Sara
    Montojo, Jason
    Shao, Quentin
    Wright, George
    Bader, Gary D.
    Morris, Quaid
    [J]. NUCLEIC ACIDS RESEARCH, 2010, 38 : W214 - W220
  • [39] Gene expression profiling of primary cutaneous melanoma and clinical outcome
    Winnepenninckx, VR
    Lazar, V
    Michiels, S
    Dessen, P
    Stas, M
    Alonso, SR
    Avril, MF
    Romero, PLO
    Robert, T
    Balacescu, O
    Eggermont, AMM
    Lenoir, G
    Sarasin, A
    Tursz, T
    van den Oord, JJ
    Spatz, A
    [J]. JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2006, 98 (07): : 472 - 482
  • [40] CCL5 of glioma-associated microglia/macrophages regulates glioma migration and invasion via calcium-dependent matrix metalloproteinase 2
    Wu, Caren Yu-Ju
    Chen, Chia-Hua
    Lin, Chun-Yen
    Feng, Li-Ying
    Lin, Yung-Chang
    Wei, Kuo-Chen
    Huang, Chiung-Yin
    Fang, Jia-You
    Chen, Pin-Yuan
    [J]. NEURO-ONCOLOGY, 2020, 22 (02) : 253 - 266