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Ahmed SM, Laha S, Ifthikar MA, Das R, Das SP. MCM10: A potential biomarker for cervical cancer and precancerous lesions. Gene 2025; 936:149103. [PMID: 39551114 DOI: 10.1016/j.gene.2024.149103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 11/08/2024] [Accepted: 11/14/2024] [Indexed: 11/19/2024]
Abstract
Cervical cancer remains a significant health burden worldwide, emphasizing the need for early detection and intervention. DNA replication is perturbed in cancer cells, and the minichromosome maintenance protein 10 plays an important role in origin firing. By analyzing the MCM10 mRNA expression in healthy controls, precancerous lesions, and cervical cancer using qRT-PCR, we can infer if it can be considered a biomarker. We collected cervical smear samples from patients and performed MCM10 expression analysis to set up thresholds for risk stratification. We also investigated the HPV status among the patient samples with precancerous lesions and cervical cancer and found 70 % of them to be positive. Our results demonstrated a significant upregulation of MCM10 mRNA expression in tumor samples (n = 40, 7.83 ± 1.2) and precancerous lesions (n = 54, 5.69 ± 1.4) compared to normal (n = 50, 4.27 ± 0.80) with a R2 value of 0.59, confirming its role in the progression and development of cervical cancer. In conclusion, this study emphasizes the potential role of MCM10 as a biomarker. Our study would improve early detection rates, and we propose MCM10-based community screening for risk stratification, prevention, and prognosis.
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Affiliation(s)
- Sumayyah Mq Ahmed
- Cell Biology and Molecular Genetics, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Suparna Laha
- Cell Biology and Molecular Genetics, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Mariam Anjum Ifthikar
- Zulekha Yenepoya Institute of Oncology, Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Ranajit Das
- Data Analytics, Bioinformatics and Structural Biology, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, 575018, India.
| | - Shankar Prasad Das
- Cell Biology and Molecular Genetics, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
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Ahmed SMQ, Sasikumar J, Laha S, Das SP. Multifaceted role of the DNA replication protein MCM10 in maintaining genome stability and its implication in human diseases. Cancer Metastasis Rev 2024; 43:1353-1371. [PMID: 39240414 DOI: 10.1007/s10555-024-10209-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 08/29/2024] [Indexed: 09/07/2024]
Abstract
MCM10 plays a vital role in genome duplication and is crucial for DNA replication initiation, elongation, and termination. It coordinates several proteins to assemble at the fork, form a functional replisome, trigger origin unwinding, and stabilize the replication bubble. MCM10 overexpression is associated with increased aggressiveness in breast, cervical, and several other cancers. Disruption of MCM10 leads to altered replication timing associated with initiation site gains and losses accompanied by genome instability. Knockdown of MCM10 affects the proliferation and migration of cancer cells, manifested by DNA damage and replication fork arrest, and has recently been shown to be associated with clinical conditions like CNKD and RCM. Loss of MCM10 function is associated with impaired telomerase activity, leading to the accumulation of abnormal replication forks and compromised telomere length. MCM10 interacts with histones, aids in nucleosome assembly, binds BRCA2 to maintain genome integrity during DNA damage, prevents lesion skipping, and inhibits PRIMPOL-mediated repriming. It also interacts with the fork reversal enzyme SMARCAL1 and inhibits fork regression. Additionally, MCM10 undergoes several post-translational modifications and contributes to transcriptional silencing by interacting with the SIR proteins. This review explores the mechanism associated with MCM10's multifaceted role in DNA replication initiation, chromatin organization, transcriptional silencing, replication stress, fork stability, telomere length maintenance, and DNA damage response. Finally, we discuss the role of MCM10 in the early detection of cancer, its prognostic significance, and its potential use in therapeutics for cancer treatment.
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Affiliation(s)
- Sumayyah M Q Ahmed
- Cell Biology and Molecular Genetics (CBMG), Yenepoya Research Centre (YRC), Yenepoya (Deemed to be University), Mangalore, 575018, India
| | - Jayaprakash Sasikumar
- Cell Biology and Molecular Genetics (CBMG), Yenepoya Research Centre (YRC), Yenepoya (Deemed to be University), Mangalore, 575018, India
| | - Suparna Laha
- Cell Biology and Molecular Genetics (CBMG), Yenepoya Research Centre (YRC), Yenepoya (Deemed to be University), Mangalore, 575018, India
| | - Shankar Prasad Das
- Cell Biology and Molecular Genetics (CBMG), Yenepoya Research Centre (YRC), Yenepoya (Deemed to be University), Mangalore, 575018, India.
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Sultana A, Alam MS, Khanam A, Lin Y, Ren S, Singla RK, Sharma R, Kuca K, Shen B. An integrated bioinformatics approach to early diagnosis, prognosis and therapeutics of non-small-cell lung cancer. J Biomol Struct Dyn 2024:1-15. [PMID: 39535278 DOI: 10.1080/07391102.2024.2425840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 05/31/2024] [Indexed: 11/16/2024]
Abstract
Non-small-cell lung cancer (NSCLC) is one of the most deadly tumors characterized by poor survival rates. Advances in therapeutics and precise identification of biomarkers can potentially reduce the mortality rate. Thus, this study aimed to identify a set of common and stable gene biomarkers through integrated bioinformatics approaches that might be effective for NSCLC early diagnosis, prognosis, and therapies. Four gene expression profiles (GSE19804, GSE19188, GSE10072, and GSE32863) downloaded from the Gene Expression Omnibus database to identify common differential expressed genes (DEGs). A total of 213 overlapping DEGs (oDEGs) between NSCLC and healthy samples were identified by using statistical LIMMA method. Then 6 common top-ranked key genes (KGs) (CENPF, CAV1, ASPM, CCNB2, PRC1, and KIAA0101) were selected by using four network-measurer methods in the protein- protein interaction network. The GO functional and KEGG pathway enrichment analysis were performed to reveal some significant functions and pathways associated with NSCLC progression. Transcriptional and post-transcriptional factors of KGs were identified through the regulatory interaction network. The prognostic power and expression level of KGs were validated by using the independent data through the Kaplan-Meier and Box plots, respectively. Finally, 4 KGs-guided repositioning candidate drugs (ZSTK474, GSK2126458, Masitinib, and Trametinib) were proposed. The stability of three top-ranked drug-target interactions (CAV1 vs. ZSTK474, CAV1 vs. GSK2126458, and ASPM vs. Trametinib) were investigated by computing their binding free energies for 140 ns MD-simulation based on MM-PBSA approach. Therefore, the findings of this computational study may be useful for early prognosis, diagnosis and therapies of NSCLC.
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Affiliation(s)
- Adiba Sultana
- School of Biology and Basic Medical Sciences, Soochow University Medical College, Suzhou, China
- Center for Systems Biology, Soochow University, Suzhou, China
- Medical Big Data Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Md Shahin Alam
- School of Biology and Basic Medical Sciences, Soochow University Medical College, Suzhou, China
- Laboratory of Molecular Neuropathology, Department of Pharmacology, Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Alima Khanam
- Department of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh
| | - Yuxin Lin
- Center for Systems Biology, Soochow University, Suzhou, China
| | - Shumin Ren
- Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Rajeev K Singla
- Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Rohit Sharma
- Department of Rasa Shastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Kamil Kuca
- Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic
| | - Bairong Shen
- School of Biology and Basic Medical Sciences, Soochow University Medical College, Suzhou, China
- Center for Systems Biology, Soochow University, Suzhou, China
- Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
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Ahmed SMQ, Laha S, Das R, Ifthikar MA, Das SP. MCM10 expression is linked to cervical cancer aggressiveness. FRONTIERS IN MOLECULAR MEDICINE 2023; 3:1009903. [PMID: 39086679 PMCID: PMC11285692 DOI: 10.3389/fmmed.2023.1009903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 02/03/2023] [Indexed: 08/02/2024]
Abstract
Cervical cancer screening is a challenge mainly in developing countries. In developed countries, both incidence and mortality rates have been decreasing due to well organized screening programs. One of the potential biomarkers being exploited are the minichromosome maintenance proteins (MCMs), which show both specificity and sensitivity. MCM2-7 are involved in DNA replication initiation and elongation, and the MCM subunits are highly expressed in malignant tissues. Unlike other MCMs, MCM10, which is not part of the core helicase complex, is a critical determinant of origin activation and its levels are limiting in cancer cells. In this study, we performed bioinformatic analysis on the expression profile of all DNA replication associated MCM proteins in cervical cancer. MCM10 showed a relatively higher expression profile compared to the other MCMs. The mRNA expression levels of the MCMs were significantly increased in tumour tissues compared to normal, and MCM10 showed a fold change of 3.4. In order to understand if MCM10 is associated with the aggressiveness of cervical cancer, we looked into the mRNA expression pattern of MCM10 in three cervical cancer cell lines and one normal cervical cell line. MCM10 expression was significantly higher in the case of the more aggressive cancer cell line HeLa compared to controls. MCM10, therefore, can serve as a prominent biomarker for cancer progression and thus aid in early detection to control the spread of cancer cells. Our results show that MCM10 expression levels in cervical cancer cell lines are associated with cancer aggressiveness, demonstrating its clinical significance.
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Affiliation(s)
| | - Suparna Laha
- Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
| | - Ranajit Das
- Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
| | - Mariam Anjum Ifthikar
- Department of Oncology, Yenepoya Medical College Hospital, Yenepoya (Deemed to be University), Mangalore, India
| | - Shankar Prasad Das
- Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
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The High Expression of Minichromosome Maintenance Complex Component 5 Is an Adverse Prognostic Factor in Lung Adenocarcinoma. BIOMED RESEARCH INTERNATIONAL 2022; 2022:4338793. [PMID: 35360518 PMCID: PMC8961428 DOI: 10.1155/2022/4338793] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/21/2022] [Accepted: 03/07/2022] [Indexed: 11/17/2022]
Abstract
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.
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