Evidence map›Paper›PMID 41949744›Full record

ArticleDiscover oncology2026

CDC42SE1 as a novel prognostic biomarker with immunomodulatory associations in breast invasive carcinoma.

Yeyao Lu

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Yeyao LuDepartment of Clinical Medicine, Kangda College of Nanjing Medical University, 88 Chunhui Road, Huaguoshan Avenue Haizhou District, Lianyungang, 222000, Jiangsu, China. 417053682@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to investigate the expression pattern, prognostic significance, and immune-related role of CDC42SE1 in breast invasive carcinoma (BRCA).

methodsRNA sequencing and clinical data from TCGA-BRCA and GEO datasets (GSE42568, GSE10810) were analyzed. CDC42SE1 expression was compared between tumor and normal tissues. Survival analyses, univariate and multivariate Cox regression, immune infiltration estimation (ssGSEA), and functional enrichment analyses were performed. A nomogram was constructed to predict patient survival.

resultsCDC42SE1 was significantly upregulated in BRCA tissues compared to normal controls (p < 0.001; AUC = 0.757), with validation in two independent GEO cohorts and at the protein level (CPTAC). High CDC42SE1 expression correlated with reduced overall survival (p = 0.014; HR = 1.43) and was identified as an independent prognostic factor in multivariate analysis (HR = 1.43, p = 0.033). Immune infiltration analysis revealed moderate positive associations with Tcm (R = 0.335), Th2, and Th17 cells, and negative associations with pDCs and cytotoxic cells. Functional enrichment linked CDC42SE1 to histone modification, ubiquitin-mediated proteolysis, and mRNA surveillance pathways. A nomogram incorporating CDC42SE1 showed moderate accuracy in predicting 1-, 3-, and 5-year survival (AUC: 0.580–0.585).

conclusionCDC42SE1 is overexpressed in BRCA and associated with poor prognosis and altered immune infiltration, suggesting its potential as a prognostic biomarker with immunomodulatory relevance. Further mechanistic studies are warranted.

Indexed as

BRCACDC42SE1NomogramPrognosisSurvival

Identifiers

PMID41949744
PMCPMC13199523

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.