Evidence map›Paper›PMID 40165474›Full record

ArticleTechnology in cancer research & treatment

CENPF as a Potential Biomarker Associated with the Immune Microenvironment of Renal Cancer.

Meilin Chen, Xiuxin Tang, YanPing Liang, Tangdang Ding, Meifang He, Dong Wang, Ruizhi Wang

Abstract read
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Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. The Prevalence and Clinical Significance of the Centromere Protein-F-Like Immunofluorescence Staining Pattern in a Large ANA-positive Cohort.Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
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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

7 authors.

Meilin ChenThe First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0009-0004-1384-4197
Xiuxin TangThe First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
YanPing LiangThe First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Tangdang DingThe First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Meifang HeThe First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Dong WangThe First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Ruizhi WangThe First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0000-0002-7488-1555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionRenal cancer, particularly Kidney Renal Clear Cell Carcinoma (KIRC), remains a major clinical challenge due to its aggressive nature and poor prognosis. Identifying reliable biomarkers for tumor progression and survival is critical for improving patient outcomes. This study aimed to investigate the role of Centromere Protein F (CENPF) as a potential prognostic biomarker for renal cancer.MethodData from the TCGA database, including Kidney Chromophobe (KICH), Kidney Renal Papillary Cell Carcinoma (KIRP), and KIRC, were analyzed to identify differentially expressed genes. Molecular Complex Detection (MCODE) was used to identify significant gene modules among upregulated genes, and univariate Cox regression analyses assessed the prognostic value of hub genes. Retrospective qPCR was conducted on tissue and plasma samples from KIRC patients to validate findings. Single-cell sequencing data from the GSE159115 dataset were analyzed, and the CIBERSORT algorithm was applied to evaluate the composition of tumor immune infiltrating cells (TIICs).ResultsCENPF was identified as a hub gene significantly upregulated in renal cancer subtypes, with overexpression linked to worse survival outcomes in KIRC patients. Retrospective qPCR confirmed high CENPF expression was associated with poorer prognosis. Single-cell sequencing revealed that CENPF is predominantly expressed in T-cell clusters. TIIC analysis showed a negative correlation between CENPF and resting mast cells, but positive correlations with follicular helper T-cells and memory-activated CD4T-cells. Prognostic analysis indicated that high follicular helper T-cell expression predicted poorer survival, while high plasma cell expression correlated with better outcomes.ConclusionCENPF plays a critical role in tumor progression and the modulation of the tumor immune microenvironment in KIRC. These findings suggest that CENPF could serve as a valuable prognostic biomarker and potential target for therapeutic intervention in renal cancer.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellChromosomal Proteins, Non-HistoneKidney NeoplasmsMicrofilament ProteinsTumor MicroenvironmentComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMalePrognosisBiomarkers, Tumorcentromere protein FChromosomal Proteins, Non-HistoneMicrofilament ProteinsbiomarkersCD4T-cellsCENPFfollicular helper T-cellskidney renal clear cell carcinoma

Identifiers

PMID40165474
PMCPMC11960158

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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.