Evidence mapPaperPMID 42266675Full record

ArticleFrontiers in oncology2026

Multi-omics analysis identifies stemness-driven molecular subtypes, prognostic signature, epigenetic target APCDD1, and drug candidate Leflunomide in Wilms tumor.

Huifang Du, Yifeng Zheng, Chentao Zhu, Yang Guo, Pengfei Li, Peng Hong

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Article in Frontiers in 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.

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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

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Huifang Du *Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Zhejiang, China.
Yifeng Zheng *Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Zhejiang, China.
Chentao ZhuHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Zhejiang, China.
Yang GuoHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Zhejiang, China.
Pengfei LiAffiliated Huishan Hospital of Xinglin College, Nantong University, Wuxi Huishan District People's Hospital, Wuxi, Jiangsu, China.
Peng HongChongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wilms tumor (WT), the most common pediatric renal malignancy, continues to present therapeutic challenges in refractory and relapsed patients. Stemness plays a crucial role in the development and progression of WT, yet the specific mechanisms involved are not yet fully understood. This study systematically investigated the molecular basis of stemness features in WT using multi-omics data and computational biology approaches. Single-cell RNA sequencing combined with the CytoTRACE algorithm revealed that the blastemal cells exhibited the highest stemness score, which correlated significantly with worse prognosis in WT patients. Consensus clustering based on prognostic stemness-related genes stratified WT samples into two distinct molecular subtypes (C1 and C2). The C1 subtype exhibited higher stemness, an immunosuppressive tumor microenvironment characterized by dysfunctional NK cells, and significantly worse clinical outcomes. We subsequently developed and validated a robust prognostic risk signature using Lasso-Cox regression. Mechanistic investigations uncovered that the tumor-suppressive effect of

Indexed as

APCDD1Leflunomidemolecular subtypesprognostic signaturestemnessWilms tumor

Identifiers

PMID42266675
PMCPMC13244880

What Socratic holds

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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.