Background: Minichromosome maintenance (MCM) genes are crucial for genomic DNA replication and are important biomarkers in tumor biology. In this study, we aimed to identify the diagnostic, therapeutic, and prognostic value of the MCM2-10 genes in patients with lung cancer. Methods: We examined the expression levels, gene networks, and protein networks of lung cancer using data from the ONCOMINE, GeneMANIA, and STRING databases. We conducted a functional enrichment analysis of MCM2-10 using the clusterProfiler package using TCGA data. The correlation between the MCM2-10 expression and lung cancer prognosis was evaluated using Cox regression analysis. The influence of clinical variables on overall survival (OS) was evaluated using univariate and multivariate analyses. The TIMER database was used to evaluate the correlation between tumor infiltrating levels and lung cancer. Kaplan-Meier Plotter pan-cancer RNA sequencing was used to estimate the correlation between the MCM5 expression and OS in different immune cell subgroups in patients with lung adenocarcinoma (LUAD). Finally, the 1-, 3-, and 5-year predictions of LUAD were performed using nomogram and calibration analysis. Results: The expression of MCM2, 3, 4, 5, 6, 7, 8, and 10 in lung cancer was higher than that for normal samples. The MCM5 expression was associated with poor OS in patients with LUAD, and prognosis was related to TNM stage, smoking status, and pathological stage. The MCM5 expression is correlated with immune invasion in LUAD and may affect prognosis due to immune infiltration. Conclusion: MCM5 may serve as a molecular biomarker for LUAD prognosis.
Background: Minichromosome maintenance (MCM) genes are crucial for genomic DNA replication and are important biomarkers in tumor biology. In this study, we aimed to identify the diagnostic, therapeutic, and prognostic value of the MCM2-10 genes in patients with lung cancer. Methods: We examined the expression levels, gene networks, and protein networks of lung cancer using data from the ONCOMINE, GeneMANIA, and STRING databases. We conducted a functional enrichment analysis of MCM2-10 using the clusterProfiler package using TCGA data. The correlation between the MCM2-10 expression and lung cancer prognosis was evaluated using Cox regression analysis. The influence of clinical variables on overall survival (OS) was evaluated using univariate and multivariate analyses. The TIMER database was used to evaluate the correlation between tumor infiltrating levels and lung cancer. Kaplan-Meier Plotter pan-cancer RNA sequencing was used to estimate the correlation between the MCM5 expression and OS in different immune cell subgroups in patients with lung adenocarcinoma (LUAD). Finally, the 1-, 3-, and 5-year predictions of LUAD were performed using nomogram and calibration analysis. Results: The expression of MCM2, 3, 4, 5, 6, 7, 8, and 10 in lung cancer was higher than that for normal samples. The MCM5 expression was associated with poor OS in patients with LUAD, and prognosis was related to TNM stage, smoking status, and pathological stage. The MCM5 expression is correlated with immune invasion in LUAD and may affect prognosis due to immune infiltration. Conclusion: MCM5 may serve as a molecular biomarker for LUAD prognosis.
Authors: Simon G Talbot; Cherry Estilo; Ellie Maghami; Inderpal S Sarkaria; Duy Khanh Pham; Pornchai O-charoenrat; Nicholas D Socci; Ivan Ngai; Diane Carlson; Ronald Ghossein; Agnes Viale; Bernard J Park; Valerie W Rusch; Bhuvanesh Singh Journal: Cancer Res Date: 2005-04-15 Impact factor: 12.701
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Authors: Suhaida A Selamat; Brian S Chung; Luc Girard; Wei Zhang; Ying Zhang; Mihaela Campan; Kimberly D Siegmund; Michael N Koss; Jeffrey A Hagen; Wan L Lam; Stephen Lam; Adi F Gazdar; Ite A Laird-Offringa Journal: Genome Res Date: 2012-05-21 Impact factor: 9.043
Authors: Joshua D Campbell; Anton Alexandrov; Jaegil Kim; Jeremiah Wala; Alice H Berger; Chandra Sekhar Pedamallu; Sachet A Shukla; Guangwu Guo; Angela N Brooks; Bradley A Murray; Marcin Imielinski; Xin Hu; Shiyun Ling; Rehan Akbani; Mara Rosenberg; Carrie Cibulskis; Aruna Ramachandran; Eric A Collisson; David J Kwiatkowski; Michael S Lawrence; John N Weinstein; Roel G W Verhaak; Catherine J Wu; Peter S Hammerman; Andrew D Cherniack; Gad Getz; Maxim N Artyomov; Robert Schreiber; Ramaswamy Govindan; Matthew Meyerson Journal: Nat Genet Date: 2016-05-09 Impact factor: 38.330