Evidence map›Paper›PMID 35189004›Full record

ArticleCancer science2022

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

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 44 citations in OpenAlex.

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  8. CENPF as a prognostic marker of glioma: unraveling the molecular mechanisms.Journal of cancer research and clinical oncology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Mengzhi LiDepartment of Burns, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jingling ZhaoDepartment of Burns, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ronghua YangDepartment of Burn Surgery, The First People's Hospital of Foshan, Foshan, China.
Ruizhao CaiDepartment of Burns, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xusheng LiuDepartment of Burns, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Julin XieDepartment of Burns, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Bin ShuDepartment of Burns, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Shaohai QiDepartment of Burns, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0001-5962-4203
Sun Yat-sen University · CNFirst People's Hospital of Foshan · CN

Funding

Natural Science Foundation of China 81971833Natural Science Foundation of China 81971884Natural Science Foundation of China 82172207Natural Science Foundation of Guangdong Province 2021A1515011806
6 · The paper itself

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.

Indexed as

MelanomaSkin NeoplasmsBiomarkers, TumorCD4-Positive T-LymphocytesChromosomal Proteins, Non-HistoneCutaneous Malignant MelanomaGene Expression Regulation, NeoplasticHumansMemory T CellsMicrofilament ProteinsPrognosisBiomarkers, Tumorcentromere protein FChromosomal Proteins, Non-HistoneMicrofilament ProteinsCD4+ activated T cellsCD4+ memory-activated T cellsCENPFcutaneous melanomametastasisnomogramTMBtumor immunology

Identifiers

PMID35189004
PMCPMC8990861
OpenAlexW4213256983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.