Evidence mapPaperPMID 39224598Full record

ArticleFrontiers in immunology2024

Elucidating the role of tumor-associated ALOX5+ mast cells with transformative function in cervical cancer progression via single-cell RNA sequencing.

Fu Zhao, Junjie Hong, Guangyao Zhou, Tianjiao Huang, Zhiheng Lin, Yining Zhang, Leilei Liang, Huarong Tang

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Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

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43citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

  1. Review
  2. Article
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  4. Review
  5. Deciphering the Role of Mast Cells in HPV-Related Cancers.International journal of molecular sciences · 2025
    Review
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Fu Zhao *Department of Gynecological Radiotherapy, Zhejiang Cancer Hospital, Hangzhou, China.
Junjie Hong *Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou, China.
Guangyao Zhou *Department of Lung Cancer, Tianjin Lung Cancer Center, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Tianjiao HuangThe First School of Clinical Medicine, Heilongjiang University of Traditional Chinese Medicine, Harbin, China.
Zhiheng LinShandong University of Traditional Chinese Medicine, Jinan, China.
Yining ZhangDepartment of Clinical Laboratory, Zhejiang Cancer Hospital, Hangzhou, China.
Leilei LiangDepartment of Gynecological Radiotherapy, Zhejiang Cancer Hospital, Hangzhou, China.
Huarong TangDepartment of Gynecological Radiotherapy, Zhejiang Cancer Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cervical cancer (CC) is the fourth most common malignancy among women globally and serves as the main cause of cancer-related deaths among women in developing countries. The early symptoms of CC are often not apparent, with diagnoses typically made at advanced stages, which lead to poor clinical prognoses. In recent years, numerous studies have shown that there is a close relationship between mast cells (MCs) and tumor development. However, research on the role MCs played in CC is still very limited at that time. Thus, the study conducted a single-cell multi-omics analysis on human CC cells, aiming to explore the mechanisms by which MCs interact with the tumor microenvironment in CC. The goal was to provide a scientific basis for the prevention, diagnosis, and treatment of CC, with the hope of improving patients' prognoses and quality of life. Method: The present study acquired single-cell RNA sequencing data from ten CC tumor samples in the ArrayExpress database. Slingshot and AUCcell were utilized to infer and assess the differentiation trajectory and cell plasticity of MCs subpopulations. Differential expression analysis of MCs subpopulations in CC was performed, employing Gene Ontology, gene set enrichment analysis, and gene set variation analysis. CellChat software package was applied to predict cell communication between MCs subpopulations and CC cells. Cellular functional experiments validated the functionality of TNFRSF12A in HeLa and Caski cell lines. Additionally, a risk scoring model was constructed to evaluate the differences in clinical features, prognosis, immune infiltration, immune checkpoint, and functional enrichment across various risk scores. Copy number variation levels were computed using inference of copy number variations. Result: The obtained 93,524 high-quality cells were classified into ten cell types, including T_NK cells, endothelial cells, fibroblasts, smooth muscle cells, epithelial cells, B cells, plasma cells, MCs, neutrophils, and myeloid cells. Furthermore, a total of 1,392 MCs were subdivided into seven subpopulations: C0 CTSG+ MCs, C1 CALR+ MCs, C2 ALOX5+ MCs, C3 ANXA2+ MCs, C4 MGP+ MCs, C5 IL32+ MCs, and C6 ADGRL4+ MCs. Notably, the C2 subpopulation showed close associations with tumor-related MCs, with Slingshot results indicating that C2 subpopulation resided at the intermediate-to-late stage of differentiation, potentially representing a crucial transition point in the benign-to-malignant transformation of CC. CNVscore and bulk analysis results further confirmed the transforming state of the C2 subpopulation. CellChat analysis revealed TNFRSF12A as a key receptor involved in the actions of C2 ALOX5+ MCs. Moreover, Conclusions: We first identified the transformative tumor-associated MCs subpopulation C2 ALOX5+ MCs within CC, which was at a critical stage of tumor differentiation and impacted the progression of CC.

Indexed as

Arachidonate 5-LipoxygenaseDisease ProgressionMast CellsSingle-Cell AnalysisTumor MicroenvironmentUterine Cervical NeoplasmsBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansSequence Analysis, RNAALOX5 protein, humanArachidonate 5-LipoxygenaseBiomarkers, Tumorcancer immunotherapycervical cancerprognosissingle-cell RNA-sequencingtumor heterogeneity

Identifiers

PMID39224598
PMCPMC11366577

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.