Evidence map›Paper›PMID 39323331›Full record

ArticleCurrent gene therapy2025

Pan-Cancer Single-Cell Analysis Revealing the Heterogeneity of Cancer- Associated Fibroblasts in Skin Tumors.

Yichi Zhang, Zhijie Zhao, Wenyi Huang, Byeong Seop Kim, Li Lin, Xin Li, Mengyuan Hou, Li Li, Yan Zhang, Wenjing Xi and 1 more

Abstract read
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Article in Current gene therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

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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

11 authors.

Yichi ZhangDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.
Zhijie ZhaoDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.
Wenyi HuangDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.
Byeong Seop KimDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.
Li LinDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.
Xin LiDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.
Mengyuan HouDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.
Li LiDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.
Yan ZhangDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.
Wenjing XiDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.
Gang ChaiDepartment of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University, 639 Zhi Zao Ju Rd, Shanghai, 200011, China.

Funding

Clinical Research Plan of SHDC SHDC2020CR3070BClinical Research Program of 9th People's Hospital affiliated to Shanghai Jiao Tong University School of Medicine JYLJ202108First Affiliated Hospital of Soochow University, Department of Stomatology Clinical Trial Institution Capacity Improvement LGY2016035Foundation of National Center for Translational Medicine (Shanghai) SHU Branch SUITM-202304Fundamental Research Funds for the Central Universities YG2022QN048Interdisciplinary Program of Shanghai Jiao Tong University YG2022QN048National Natural Science Foundation of China 82301158Science and Technology Commission of Shanghai Municipality 22MC1940300Shanghai Jiao Tong University School of Medicine Twohundred Talent 20161420Shanghai Post-doctoral Excellence Incentive Program 2023M742332
6 · The paper itself

Abstract

backgroundCancer-Associated Fibroblasts (CAFs) constitute a heterogeneous group of cells critical for the remodeling of the tumor microenvironment (TME). Given their significant impact on tumor progression, particularly in skin cancers, a deeper understanding of their characteristics and functions is essential.

methodsThis study employed a single-cell transcriptomic analysis to explore the diversity of CAFs within three major types of skin cancer: basal cell carcinoma, melanoma, and head and neck squamous cell carcinoma. We applied analytical techniques, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), pseudotime tracking, metabolic profiling, and stemness assessment to delineate and define the functional attributes of identified CAF subgroups.

resultsOur analysis successfully delineated nine distinct CAF subgroups across the studied tumor types. Of particular interest, we identified a novel CAF subtype, designated as C0, exclusive to basal cell carcinoma. This subtype exhibits phenotypic traits associated with invasive and destructive capabilities, significantly correlating with the progression of basal cell carcinoma. The identification of this subgroup provides new insights into the role of CAFs in cancer biology and opens avenues for targeted therapeutic strategies.

conclusionA pan-cancer analysis was performed on three cancers, BCC, MA, and HNSCC, focusing on tumor fibroblasts in TME. Unsupervised clustering categorized CAF into nine subpopulations, among which the C0 subpopulation had a strong correspondence with BCC-CAF and an invasive- destructive-related phenotype.

Indexed as

Basal Cell CarcinomaCancer-Associated FibroblastsMelanomaSingle-Cell AnalysisSkin NeoplasmsSquamous Cell Carcinoma of Head and NeckGene Expression ProfilingGene Expression Regulation, NeoplasticHumansTranscriptomeTumor Microenvironmentbasal cell carcinomacancerassociated fibroblasts (CAFs)extracellular matrix (ECM).head and neck squamous carcinomamelanomaPan-cancersingle-cell analysis

Identifiers

PMID39323331

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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.