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pmid:34993142

MCM2-7 in Clear Cell Renal Cell Carcinoma: MCM7 Promotes Tumor Cell Proliferation.

Junneng Zhang · Huanzong Zhang · Yinghui Wang · Qingshui Wang

Frontiers in oncology · 2021 doi:10.3389/fonc.2021.782755

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Experiment

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Data

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MCM2-7 in Clear Cell Renal Cell Carcinoma: MCM7 Promotes Tumor Cell Proliferation.
doi
10.3389/fonc.2021.782755
pmid
34993142
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Junneng Zhang
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Huanzong Zhang
[2]
Yinghui Wang
[3]
Qingshui Wang
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Frontiers in oncology
year
2021
abstract
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) accounts for 60-70% of renal cell carcinoma (RCC) cases. Finding more therapeutic targets for advanced ccRCC is an urgent mission. The minichromosome maintenance proteins 2-7 (MCM2-7) protein forms a stable heterohexamer and plays an important role in DNA replication in eukaryotic cells. In the study, we provide a comprehensive study of MCM2-7 genes expression and their potential roles in ccRCC. METHODS: The expression and prognosis of the MCM2-7 genes in ccRCC were analyzed using data from TCGA, GEO and ArrayExpress. MCM2-7 related genes were identified by weighted co-expression network analysis (WGCNA) and Metascape. CancerSEA and GSEA were used to analyze the function of MCM2-7 genes in ccRCC. The gene effect scores (CERES) of MCM2-7, which reflects carcinogenic or tumor suppressor, were obtained from DepMap. We used clinical and expression data of MCM2-7 from the TCGA dataset and the LASSO Cox regression analysis to develop a risk score to predict survival of patients with ccRCC. The correlations between risk score and other clinical indicators such as gender, age and stage were also analyzed. Further validation of this risk score was engaged in another cohort, E-MTAB-1980 from the ArrayExpress dataset. RESULTS: The mRNA and protein expression of MCM2-7 were increased in ccRCC compared with normal tissues. High MCM2, MCM4, MCM6 and MCM7 expression were associated with a poor prognosis of ccRCC patients. Functional enrichment analysis revealed that MCM2-7 might influence the progress of ccRCC by regulating the cell cycle. Knockdown of MCM7 can inhibit the proliferation of ccRCC cells. A two-gene risk score including MCM4 and MCM6 can predict overall survival (OS) of ccRCC patients. The risk score was successfully verified by further using Arrayexpress cohort. CONCLUSION: We analyze MCM2-7 mRNA and protein levels in ccRCC. MCM7 is determined to promote tumor proliferation. Meanwhile, our study has determined a risk score model composed of MCM2-7 can predict the prognosis of ccRCC patients, which may help future treatment strategies.
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We used clinical and expression data of MCM2-7 from the TCGA dataset and the LASSO Cox regression analysis to develop a risk score to predict survival of patients with ccRCC.
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We used clinical and expression data of MCM2-7 from the TCGA dataset and the LASSO Cox regression analysis to develop a risk score to predict survival of patients with ccRCC.
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The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors.
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A two-gene risk score including MCM4 and MCM6 can predict overall survival (OS) of ccRCC patients; in the E-MTAB-1980 validation cohort, the AUC of 3-year OS was 0.71.
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Moreover, the AUC of 3-year OS was 0.71, indicating good accuracy ( Figure 10B ).
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A two-gene risk score including MCM4 and MCM6 can predict overall survival (OS) of ccRCC patients.
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sections[21] "Validation of the Prognostic Model" paragraph 2
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Moreover, the AUC of 3-year OS was 0.71, indicating good accuracy ( Figure 10B ).
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A two-gene risk score including MCM4 and MCM6 can predict overall survival (OS) of ccRCC patients; in the E-MTAB-1980 validation cohort, the AUC of 3-year OS was 0.71.
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Genome-wide analysis of gene expression patterns in human kidney cancer
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We used clinical and expression data of MCM2-7 from the TCGA dataset and the LASSO Cox regression analysis to develop a risk score to predict survival of patients with ccRCC.
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gress of ccRCC by regulating the cell cycle. Knockdown of MCM7 can inhibit the proliferation of ccR
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We used clinical and expression data of MCM2-7 from the TCGA dataset and the LASSO Cox regression analysis to develop a risk score to predict survival of patients with ccRCC.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34993142", "kind": "science-record", "revision": 3, "content_hash": "sha256:def82dbc2b210e3ee788957b4ea9a726395bb677fc140aacd884d1759b6dc8cb", "created_at": "2026-11-01T17:36:42Z", "updated_at": "2026-11-01T21:26:55Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "MCM2-7 in Clear Cell Renal Cell Carcinoma: MCM7 Promotes Tumor Cell Proliferation.", "doi": "10.3389/fonc.2021.782755", "pmid": "34993142", "authors": ["Junneng Zhang", "Huanzong Zhang", "Yinghui Wang", "Qingshui Wang"], "journal": "Frontiers in oncology", "year": 2021, "abstract": "BACKGROUND: Clear cell renal cell carcinoma (ccRCC) accounts for 60-70% of renal cell carcinoma (RCC) cases. Finding more therapeutic targets for advanced ccRCC is an urgent mission. The minichromosome maintenance proteins 2-7 (MCM2-7) protein forms a stable heterohexamer and plays an important role in DNA replication in eukaryotic cells. In the study, we provide a comprehensive study of MCM2-7 genes expression and their potential roles in ccRCC.\nMETHODS: The expression and prognosis of the MCM2-7 genes in ccRCC were analyzed using data from TCGA, GEO and ArrayExpress. MCM2-7 related genes were identified by weighted co-expression network analysis (WGCNA) and Metascape. CancerSEA and GSEA were used to analyze the function of MCM2-7 genes in ccRCC. The gene effect scores (CERES) of MCM2-7, which reflects carcinogenic or tumor suppressor, were obtained from DepMap. We used clinical and expression data of MCM2-7 from the TCGA dataset and the LASSO Cox regression analysis to develop a risk score to predict survival of patients with ccRCC. The correlations between risk score and other clinical indicators such as gender, age and stage were also analyzed. Further validation of this risk score was engaged in another cohort, E-MTAB-1980 from the ArrayExpress dataset.\nRESULTS: The mRNA and protein expression of MCM2-7 were increased in ccRCC compared with normal tissues. High MCM2, MCM4, MCM6 and MCM7 expression were associated with a poor prognosis of ccRCC patients. Functional enrichment analysis revealed that MCM2-7 might influence the progress of ccRCC by regulating the cell cycle. Knockdown of MCM7 can inhibit the proliferation of ccRCC cells. A two-gene risk score including MCM4 and MCM6 can predict overall survival (OS) of ccRCC patients. The risk score was successfully verified by further using Arrayexpress cohort.\nCONCLUSION: We analyze MCM2-7 mRNA and protein levels in ccRCC. MCM7 is determined to promote tumor proliferation. Meanwhile, our study has determined a risk score model composed of MCM2-7 can predict the prognosis of ccRCC patients, which may help future treatment strategies.", "claims": [{"id": "claim-method", "statement": "We used clinical and expression data of MCM2-7 from the TCGA dataset and the LASSO Cox regression analysis to develop a risk score to predict survival of patients with ccRCC.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34993142", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "We used clinical and expression data of MCM2-7 from the TCGA dataset and the LASSO Cox regression analysis to develop a risk score to predict survival of patients with ccRCC."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34993142", "locator": "sections[26] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A two-gene risk score including MCM4 and MCM6 can predict overall survival (OS) of ccRCC patients; in the E-MTAB-1980 validation cohort, the AUC of 3-year OS was 0.71.", "kind": "quantitative", "target": {"value": 3.0, "unit": "auc", "tolerance": null, "source": "Moreover, the AUC of 3-year OS was 0.71, indicating good accuracy ( Figure 10B )."}, "evidence": [{"asset": "source:pmid:34993142", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A two-gene risk score including MCM4 and MCM6 can predict overall survival (OS) of ccRCC patients."}, {"asset": "source:pmid:34993142", "locator": "sections[21] \"Validation of the Prognostic Model\" paragraph 2", "quote": "Moreover, the AUC of 3-year OS was 0.71, indicating good accuracy ( Figure 10B )."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A two-gene risk score including MCM4 and MCM6 can predict overall survival (OS) of ccRCC patients; in the E-MTAB-1980 validation cohort, the AUC of 3-year OS was 0.71.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:34993142"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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