Evidence map›Paper›PMID 40437003›Full record

ArticleNPJ precision oncology2025

Deciphering the cellular and molecular landscape of cervical cancer progression through single-cell and spatial transcriptomics.

Peng Xia, Juanhong Zhou, Rong Shen, Degui Wang

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Article
  3. Evaluation of serum Cytokeratin 5 and p63 as non-invasive biomarkers for the diagnosis and staging of cervical cancer: a case-control study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  9. ECHOS enables spatial epigenome profiling at subcellular resolution.bioRxiv : the preprint server for biology · 2026
    Article
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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

4 authors.

Peng Xia *Department of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Juanhong Zhou *The First Clinical Medical College of Gansu University of Chinese Medicine, Lanzhou, China.
Rong ShenDepartment of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China. shenr@lzu.edu.cn.
Degui WangDepartment of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China. wangdegui@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer represents a significant global health challenge, with complex cellular and molecular mechanisms driving its progression from HPV infection to invasive malignancy. This study employed an integrated approach combining single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (stRNA-seq) to comprehensively characterize the tumor microenvironment (TME) across different stages of cervical cancer development. Through analysis of samples from normal cervix, HPV-infected normal cervix, high-grade squamous intraepithelial lesions (HSIL), and invasive cervical cancer, we identified distinct cellular populations and their dynamic changes during disease progression. Our findings revealed significant heterogeneity in immune cell populations, particularly highlighting the role of SPP1+ macrophages that were substantially enriched in cervical cancer compared to precancerous and normal tissues. Cell-cell communication networks and spatial mapping demonstrated that SPP1+ macrophages interact extensively with immune cells through the SPP1-CD44 signaling axis. This interaction contributes to an immunosuppressive microenvironment through modulation of T cell function and promotion of tumor cell survival. Furthermore, high expression of SPP1 correlated with advanced tumor stages and poor overall survival in cervical cancer patients, highlighting its potential as a prognostic biomarker. Our comprehensive characterization of the cellular landscape and intercellular communication networks in cervical cancer progression provides valuable insights for the development of targeted therapeutic strategies aimed at modulating the TME, particularly through disruption of the SPP1-CD44 axis. These findings establish a foundation for more effective personalized approaches to improve clinical outcomes in cervical cancer patients.

Identifiers

PMID40437003
PMCPMC12120119

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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.