Evidence map›Paper›PMID 39676856›Full record

ArticleFrontiers in immunology2024

Single-cell RNA-seq reveals

Yu Miao, Meng Dong, Qiyin Zhou, Julia Thiel, Na Li, Ying Cai, Dan Yuan, Haitao Wang, Su-Han Jin, Hua Yang and 5 more

Abstract read
In one paragraph

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

15 authors.

Yu Miao *Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Meng Dong *Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology and University of Tübingen, Stuttgart, Germany.
Qiyin Zhou *Department of Obstetrics and Gynecology, Yanhe County People's Hospital, Tongren, Guizhou, China.
Julia ThielDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology and University of Tübingen, Stuttgart, Germany.
Na LiDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Ying CaiDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Dan YuanDepartment of Pathology, The Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Haitao WangThoracic Surgery Branch, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, MD, United States.
Su-Han JinDepartment of Orthodontics, Affiliated Stomatological Hospital of Zunyi Medical University, Zunyi, China.
Hua YangDepartment of Pathology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Jinjing WangDepartment of Pathology, The Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Benjamin FreyTranslational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Udo S GaiplTranslational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Hu MaDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Jian-Guo ZhouDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Low-grade endometrial stromal sarcoma (LG-ESS) is a rare uterine malignancy characterized by its complex tumor microenvironment (TME) and high recurrence rates, posing challenges to accurate prognosis and effective treatment. Identifying prognostic biomarkers is essential for improving patient stratification and guiding therapeutic strategies. Methods: Using single-cell transcriptome analysis combined with H&E and multiplex immunofluorescence staining, we identified a subpopulation of tumor cells in LG-ESS and further validated the association of this subpopulation and its characteristic genes with LG-ESS prognosis by molecular characterization and bulk transcriptome data. Results: Our analysis reveals multiple cellular subpopulations within the tumor tissue, particularly a tumor cell subpopulation among them which is associated with poor prognosis. Originating from normal stromal fibroblasts, this subpopulation appears to play a crucial role in TME remodeling, smooth muscle cell behavior, and potentially in tumorigenesis and metastasis. Of particular interest in this subpopulation is the highly expressed Conclusion: Our study reveals the complexity of TME within the LG-ESS and highlights the role that tumor cell subpopulations play in disease progression and patient prognosis. The identification of

Indexed as

Biomarkers, TumorEndometrial NeoplasmsFibroblast Growth FactorsRNA-SeqSarcoma, Endometrial StromalSingle-Cell AnalysisTumor MicroenvironmentFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasm GradingPrognosisSingle-Cell Gene Expression AnalysisTranscriptomeBiomarkers, TumorFGF12 protein, humanFibroblast Growth FactorsFGF12low-grade endometrial stromal sarcomaprognostic biomarkerscRNA-seqtumor microenvironments

Identifiers

PMID39676856
PMCPMC11638184

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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.