ReviewFrontiers in immunology2022
Infiltration Patterns of Cervical Epithelial Microenvironment Cells During Carcinogenesis.
Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- CD155 links tumor immunotype to epithelial-directed precision therapy beyond checkpoint inhibition in cervical cancer.Journal for immunotherapy of cancer · 2026Article
- Exploring the Dynamic Changes of Intercellular Connections in Cervical Cancer: Insights From Transcriptomic Data Combined With Single-Cell Sequencing.Human mutation · 2026Article
- Single-cell analysis reveals the regulatory role of ECT2 in HPV-driven cervical carcinogenesis process.Infectious agents and cancer · 2025Article
- T cell subsets in cervical cancer tumor microenvironment: advances and therapeutic opportunities.Frontiers in immunology · 2025Review
- TIME Is Ticking for Cervical Cancer.Biology · 2023Review
- The effects of 5-aminolevulinic acid photodynamic therapy on the local immune response of women with cervical intraepithelial neoplasia grade 2.Frontiers in immunology · 2023Article
- Sequencing-based transcriptome analysis reveals diversification of immune response- and angiogenesis-related expression patterns of early-stage cervical carcinoma as compared with high-grade CIN.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Local cellular microenvironment plays a crucial role in the HPV-induced cervical malignant transformation. Characterization of the dynamic infiltration changes of microenvironment cells during cervical carcinogenesis would contribute to a better understanding of involved mechanisms. Methods: Three public gene expression datasets of cervical squamous epithelium samples were collected and combined. We applied seven up-to-date computational methods for infiltrating estimation and compared their results (CD4 Results: Most methods displayed better performance in predicting the abundance of CD4 Conclusions: Based on characteristics and evaluation performance of different methods, as well as previous findings, for the first time we provide a comprehensive overview of the infiltration patterns of microenvironment cells throughout cervical cancer progression.
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Registered trials
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.