Evidence map›Paper›PMID 39050484›Full record

ArticleImmunoTargets and therapy2024

Mapping Single-Cell Transcriptomes of Endometrium Reveals Potential Biomarkers in Endometrial Cancer.

Gang Xu, Tao Pan, Si Li, Jing Guo, Ya Zhang, Qi Xu, Renwei Chen, Yanlin Ma, Yongsheng Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ImmunoTargets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

9 authors.

Gang Xu *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China, Harbin, 150081, People's Republic of China.
Tao Pan *Hainan Provincial Key Laboratory for Human Reproductive Medicine and Genetic Research, Reproductive Medical Center, National Center for International Research, The First Affiliated Hospital of Hainan Medical University, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, Hainan, 571199, People's Republic of China.
Si Li *Hainan Provincial Key Laboratory for Human Reproductive Medicine and Genetic Research, Reproductive Medical Center, National Center for International Research, The First Affiliated Hospital of Hainan Medical University, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, Hainan, 571199, People's Republic of China.
Jing GuoHainan Provincial Key Laboratory for Human Reproductive Medicine and Genetic Research, Reproductive Medical Center, National Center for International Research, The First Affiliated Hospital of Hainan Medical University, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, Hainan, 571199, People's Republic of China.
Ya ZhangHainan Provincial Key Laboratory for Human Reproductive Medicine and Genetic Research, Reproductive Medical Center, National Center for International Research, The First Affiliated Hospital of Hainan Medical University, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, Hainan, 571199, People's Republic of China.
Qi XuHainan Provincial Key Laboratory for Human Reproductive Medicine and Genetic Research, Reproductive Medical Center, National Center for International Research, The First Affiliated Hospital of Hainan Medical University, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, Hainan, 571199, People's Republic of China.ORCID 0009-0006-4796-5960
Renwei ChenHainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, 571199, People's Republic of China.
Yanlin MaHainan Provincial Key Laboratory for Human Reproductive Medicine and Genetic Research, Reproductive Medical Center, National Center for International Research, The First Affiliated Hospital of Hainan Medical University, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, Hainan, 571199, People's Republic of China.
Yongsheng LiHainan Provincial Key Laboratory for Human Reproductive Medicine and Genetic Research, Reproductive Medical Center, National Center for International Research, The First Affiliated Hospital of Hainan Medical University, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, Hainan, 571199, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The heterogeneity and dynamic changes of endometrial cells have a significant impact on health as they determine the normal function of the endometrium during the menstrual cycle. Dysfunction of the endometrium can lead to the occurrence of various gynecological diseases. Therefore, deconvolution of immune microenvironment that drives transcriptional programs throughout the menstrual cycle is key to understand regulatory biology of endometrium. Methods: Herein, we comprehensively analyzed single-cell transcriptome of 59,397 cells across ten human endometrium samples and revealed the dynamic cellular heterogeneity throughout the menstrual cycle. Results: We identified two perivascular cell subtypes, four epithelial subtypes and four fibroblast cell types in endometrium. Moreover, we inferred the cell type-specific transcription factor (TF) activities and linked critical TFs to transcriptional output of diverse immune cell types, highlighting the importance of transcriptional regulation in endometrium. Dynamic interactions between various types of cells in endometrium contribute to a range of biological pathways regulating differentiation of secretory. Integration of the molecular biomarkers identified in endometrium and bulk transcriptome of 535 endometrial cancers (EC), we revealed five RNA-based molecular subtypes of EC with highly intratumoral heterogeneity and different clinical manifestations. Mechanism analysis uncovered clinically relevant pathways for pathogenesis of EC. Conclusion: In summary, our results revealed the dynamic immune microenvironment of endometrium and provided novel insights into future development of RNA-based treatments for endometriosis and endometrial carcinoma.

Indexed as

biological pathwayscell–cell interactionmolecular subtypesRNA biomarkerssingle-cell sequencing

Identifiers

PMID39050484
PMCPMC11268782

What Socratic holds

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Registered trials

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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.