Evidence map›Paper›PMID 41373021›Full record

ArticleEuropean journal of medical research2025

A core stemness-associated module reveals PLK1, NUF2, KIF23, CDCA8, TOP2A, CENPF, AURKA, and ASPM as key genes in rectal cancer.

Biao Yao, Dan Yang, Chengfeng Fu, Song Deng, Lifeng Yang, Lei Tian

Abstract read
In one paragraph

Article in European journal of medical research, 2025. 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

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

2 citing papers in PubMed.

  1. Review
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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

6 authors.

Biao YaoDepartment of Oncology, Tongren Municipal People's Hospital, Tongren, 554300, Guizhou, China.
Dan YangDepartment of Oncology, Tongren Municipal People's Hospital, Tongren, 554300, Guizhou, China.
Chengfeng FuDepartment of Oncology, Tongren Municipal People's Hospital, Tongren, 554300, Guizhou, China.
Song DengDepartment of Oncology, Tongren Municipal People's Hospital, Tongren, 554300, Guizhou, China.
Lifeng YangDepartment of Oncology, Tongren Municipal People's Hospital, Tongren, 554300, Guizhou, China.
Lei TianDepartment of Oncology, Tongren Municipal People's Hospital, Tongren, 554300, Guizhou, China. Zlktlzzys@163.com.

Funding

Guizhou Health Commission Project gzwjkj2018-1-093
6 · The paper itself

Abstract

backgroundRectal cancer (RC) presents significant clinical challenges due to a high risk of recurrence and therapy resistance, which are largely driven by cancer stem cells (CSCs). To address the critical need for RC-specific CSC biomarkers and targets, this study aimed to leverage single-cell transcriptomics and high-dimensional co-expression network analysis (hdWGCNA) to define a core stemness-associated signature and identify potential therapeutic vulnerabilities. MATERIALS AND

methodsWe built a single-cell atlas (GSE199726) and applied hdWGCNA to the CSC-like compartment, then validated findings across TCGA-READ and GEO GSE90627 cohorts. Pathway/immune features were assessed by clusterProfiler, GSEA, CIBERSORT, and ESTIMATE. Drug candidates were nominated by Enrichr/DSigDB and molecular docking. Wet-lab assays included qRT-PCR (SW620/Caco-2 vs HIEC-6), PLK1 knockdown (si-PLK1#1/#2), wound healing, transwell, and CCK-8 at different time courses (0/24/48/72 h).

resultsOur analysis identified a CSC-enriched subpopulation from the single-cell atlas of RC, from which hdWGCNA derived four co-expression modules. This yielded an eight-gene panel (PLK1, NUF2, KIF23, CDCA8, TOP2A, CENPF, AURKA, ASPM) that was consistently upregulated in tumors across TCGA and GEO cohorts, correlated with G2/M checkpoint and E2F/MYC pathways, and associated with an immune-altered microenvironment. Crucially, this yielded an eight-gene panel that demonstrated exceptional diagnostic accuracy (AUC > 0.8) and significant prognostic value. In vitro, all eight genes were elevated in cancer cells; si-PLK1 efficiently reduced PLK1 expression and curtailed migration, invasion, and proliferation across time. DISCUSSION: By integrating single-cell atlasing with hdWGCNA, we identified an eight-gene rectal CSC signature that captures a G2/M-stemness program, which generalized across cohorts and was functionally substantiated through PLK1 knockdown in vitro. This tractable vulnerability, anchored by kinases PLK1/AURKA, provides a compact biomarker readout for risk stratification and preclinical therapeutic screening, warranting further in vivo and clinical validation.

conclusionsAn eight-gene CSC signature captures a stemness-linked G2/M program that generalizes across cohorts, relates to the microenvironment, and is therapeutically tractable via kinase targeting, providing a compact readout for risk stratification and preclinical screening.

Indexed as

Neoplastic Stem CellsRectal NeoplasmsAurora Kinase ABiomarkers, TumorCell Cycle ProteinsCell Line, TumorGene Expression Regulation, NeoplasticHumansKinesinsPolo-Like Kinase 1Protein Serine-Threonine KinasesProto-Oncogene ProteinsAURKA protein, humanAurora Kinase ABiomarkers, TumorCell Cycle ProteinsKinesinsPolo-Like Kinase 1Protein Serine-Threonine KinasesProto-Oncogene ProteinsBiomarker discoveryCancer stem cellshdWGCNAImmune infiltrationRectal adenocarcinoma

Identifiers

PMID41373021
PMCPMC12801786

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.