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pmid:35189004

CENPF as an independent prognostic and metastasis biomarker corresponding to CD4+ memory T cells in cutaneous melanoma.

Mengzhi Li · Jingling Zhao · Ronghua Yang · Ruizhao Cai · Xusheng Liu · Julin Xie · Bin Shu · Shaohai Qi

Cancer science · 2022 doi:10.1111/cas.15303

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:35189004
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science-record
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2026-11-01T17:36:57Z
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2026-11-01T21:27:17Z
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paper object · 10 fields
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title
CENPF as an independent prognostic and metastasis biomarker corresponding to CD4+ memory T cells in cutaneous melanoma.
doi
10.1111/cas.15303
pmid
35189004
authors array · 8 items
[0]
Mengzhi Li
[1]
Jingling Zhao
[2]
Ronghua Yang
[3]
Ruizhao Cai
[4]
Xusheng Liu
[5]
Julin Xie
[6]
Bin Shu
[7]
Shaohai Qi
journal
Cancer science
year
2022
abstract
Owing to recent advances in immunotherapies, the overall survival of patients with skin cutaneous melanoma (SKCM) has increased; however, the 5-year survival rate of metastatic patients remains poor. Skin cutaneous melanoma-upregulated genes were screened via analysis of differentially expressed genes (GSE3189 and GSE46517), and metastasis-related oncogenes were identified via weighted gene coexpression network analysis of the GSE46517 dataset. As confirmed by the Tumor Immune Estimation Resource, we found highly expressed centromere protein F (CENPF) in SKCM and its metastases. Immunostaining of human melanoma tissues demonstrated high CENPF expression. According to the Kaplan-Meier survival curve log-rank test, receiver-operating characteristic curve, and univariate and multivariate analyses, the Cancer Genome Atlas (TCGA) database suggested CENPF be a typical independent predictor of SKCM. The CIBERSORT algorithm classified the types of the immune cells from GSE46517 and showed higher proportion of CD4+ memory-activated T cells in metastatic melanoma. Single-sample gene set enrichment analysis of TCGA data confirmed the correlation between CENPF and activated CD4+ T cells. Centromere protein F was positively correlated with tumor mutational burden and CD4+ memory T cell markers (interleukin [IL]-23A, CD28, and CD62L), negatively associated with memory T cell maintenance factors (IL-7 and IL-15) by correlation analysis. Moreover, immunofluorescence showed high coexpression of CENPF and IL23A, CD4 in melanoma. Upregulated CENPF might lead to premature depletion of CD4+ memory T cells and immunosuppression. Nomogram indicated CENPF clinical predictive value for 1-, 3-, 5-, and 7-year melanoma overall survival. Therefore, CENPF plays a vital role in the progression and metastasis of melanoma and can be an effective therapeutic target.
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Pearson correlation analysis was used to determine the relationship between CENPF expression and TMB.
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sections[11] "TMB estimation and prognostic analysis" paragraph 2
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Pearson correlation analysis was used to determine the relationship between CENPF expression and TMB.
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sections[4] "Differentially expressed gene (DEG) analysis" paragraph 2
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The microarray datasets GSE3189 and GSE46517 were downloaded from the GEO database and normalized via log2 transformation for analysis.
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The TCGA-based CENPF nomogram achieved a C-index of 0.683 (standard error 0.044), indicating moderate accuracy.
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sections[22] "Centromere protein F nomogram and survival curve validation" paragraph 4
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To evaluate the efficiency of this predictive nomogram, we calculated the C‐index of the model, which was 0.683 (with a standard error of 0.044), thereby confirming that the CENPF nomogram is moderately accurate.
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The TCGA-based CENPF nomogram achieved a C-index of 0.683 (standard error 0.044), indicating moderate accuracy.
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nd IL-15) by correlation analysis. Moreover, immunofluorescence showed high coexpression of CENPF and IL23A,
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rotein F (CENPF) in SKCM and its metastases. Immunostaining of human melanoma tissues demonstrated high
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35189004", "kind": "science-record", "revision": 3, "content_hash": "sha256:449855213ed12bee359d29ab3f6a1a2d61d0c80252d351c8be4fbb9673f9a58a", "created_at": "2026-11-01T17:36:57Z", "updated_at": "2026-11-01T21:27:17Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "CENPF as an independent prognostic and metastasis biomarker corresponding to CD4+ memory T cells in cutaneous melanoma.", "doi": "10.1111/cas.15303", "pmid": "35189004", "authors": ["Mengzhi Li", "Jingling Zhao", "Ronghua Yang", "Ruizhao Cai", "Xusheng Liu", "Julin Xie", "Bin Shu", "Shaohai Qi"], "journal": "Cancer science", "year": 2022, "abstract": "Owing to recent advances in immunotherapies, the overall survival of patients with skin cutaneous melanoma (SKCM) has increased; however, the 5-year survival rate of metastatic patients remains poor. Skin cutaneous melanoma-upregulated genes were screened via analysis of differentially expressed genes (GSE3189 and GSE46517), and metastasis-related oncogenes were identified via weighted gene coexpression network analysis of the GSE46517 dataset. As confirmed by the Tumor Immune Estimation Resource, we found highly expressed centromere protein F (CENPF) in SKCM and its metastases. Immunostaining of human melanoma tissues demonstrated high CENPF expression. According to the Kaplan-Meier survival curve log-rank test, receiver-operating characteristic curve, and univariate and multivariate analyses, the Cancer Genome Atlas (TCGA) database suggested CENPF be a typical independent predictor of SKCM. The CIBERSORT algorithm classified the types of the immune cells from GSE46517 and showed higher proportion of CD4+ memory-activated T cells in metastatic melanoma. Single-sample gene set enrichment analysis of TCGA data confirmed the correlation between CENPF and activated CD4+ T cells. Centromere protein F was positively correlated with tumor mutational burden and CD4+ memory T cell markers (interleukin [IL]-23A, CD28, and CD62L), negatively associated with memory T cell maintenance factors (IL-7 and IL-15) by correlation analysis. Moreover, immunofluorescence showed high coexpression of CENPF and IL23A, CD4 in melanoma. Upregulated CENPF might lead to premature depletion of CD4+ memory T cells and immunosuppression. Nomogram indicated CENPF clinical predictive value for 1-, 3-, 5-, and 7-year melanoma overall survival. Therefore, CENPF plays a vital role in the progression and metastasis of melanoma and can be an effective therapeutic target.", "claims": [{"id": "claim-method", "statement": "Pearson correlation analysis was used to determine the relationship between CENPF expression and TMB.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35189004", "locator": "sections[11] \"TMB estimation and prognostic analysis\" paragraph 2", "quote": "Pearson correlation analysis was used to determine the relationship between CENPF expression and TMB."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The microarray datasets GSE3189 and GSE46517 were downloaded from the GEO database and normalized via log2 transformation for analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35189004", "locator": "sections[4] \"Differentially expressed gene (DEG) analysis\" paragraph 2", "quote": "The microarray datasets GSE3189 and GSE46517 were downloaded from the GEO database and normalized via log2 transformation for analysis."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The TCGA-based CENPF nomogram achieved a C-index of 0.683 (standard error 0.044), indicating moderate accuracy.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35189004", "locator": "sections[22] \"Centromere protein F nomogram and survival curve validation\" paragraph 4", "quote": "To evaluate the efficiency of this predictive nomogram, we calculated the C‐index of the model, which was 0.683 (with a standard error of 0.044), thereby confirming that the CENPF nomogram is moderately accurate."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The TCGA-based CENPF nomogram achieved a C-index of 0.683 (standard error 0.044), indicating moderate accuracy.", "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:35189004"], "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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