Evidence map›Paper›PMID 40881699›Full record

ArticleFrontiers in immunology2025

Identification of novel hub genes and pathways predictive of fibrosis progression in cancer-related lymphedema through integrated multi-omics.

Junzhe Chen, Yuezhong Chen, Liangliang Wang, Yaping Deng, Yan Zhou, Yun Wang, Shune Xiao, Chengliang Deng

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. [Advances in intra-abdominal vascularized lymph node transfer for treatment of limb lymphedema].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 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

8 authors.

Junzhe Chen *Department of Burns and Plastic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Yuezhong Chen *Department of Burns and Plastic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Liangliang WangDepartment of Burns and Plastic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Yaping DengDepartment of Burns and Plastic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Yan ZhouDepartment of Burns and Plastic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Yun WangDepartment of Burns and Plastic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Shune XiaoDepartment of Burns and Plastic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Chengliang DengDepartment of Burns and Plastic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer-related lymphedema (CRL) is a common chronic complication following cancer treatment, characterized by impaired lymphatic drainage, interstitial fluid retention, and progressive fibrosis. Although the mechanisms of hypertrophic scar (HTS) fibrosis have been extensively investigated, the molecular drivers of fibrosis in CRL remain unclear. Identification of reliable biomarkers and novel therapeutic targets is essential for enabling early intervention. Methods: Transcriptomic datasets of CRL and HTS from the Gene Expression Omnibus (GEO) were integrated to identify fibrosis-associated differentially expressed genes (DEGs) and construct co-expression modules. Weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis were employed to nominate hub genes. Single-cell RNA sequencing (scRNA-seq) data were used to localize candidate gene expression within immune and mesenchymal cell populations. The most promising biomarker was validated in clinical CRL tissues by Masson's trichrome staining and Western blotting, and Pearson correlation analyses were performed to assess its association with collagen deposition and disease duration. Results: A total of 154 fibrosis-related genes were found to be shared by CRL and HTS. Among them, Asporin (ASPN) emerged as the most promising hub gene, with markedly elevated expression in late-stage CRL tissues. scRNA-seq analysis revealed that adipose-derived stem cells (ADSCs) were the predominant ASPN-expressing population. In CRL lesions, ASPN expression levels showed significant positive correlations with disease duration, TGF-β expression, and collagen accumulation. Conclusions: ASPN is identified as a key molecular biomarker of fibrosis in CRL. Its predominant expression in ADSCs and strong association with progressive tissue remodeling suggest that ASPN holds potential as both a diagnostic indicator and a therapeutic target for CRL-related fibrosis.

Indexed as

LymphedemaNeoplasmsComputational BiologyDisease ProgressionFibrosisGene Expression ProfilingGene Regulatory NetworksHumansMultiomicsProtein Interaction MapsTranscriptomeasporinbioinformatics analysiscancer-related lymphedemafibrosisinflammation

Identifiers

PMID40881699
PMCPMC12380543

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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.