Evidence map›Paper›PMID 37638381›Full record

ArticleJournal of medical virology2023

Identification of HPV oncogene and host cell differentiation associated cellular heterogeneity in cervical cancer via single-cell transcriptomic analysis.

Yingjie Li, Cankun Wang, Anjun Ma, Abdul Qawee Rani, Mingjue Luo, Jenny Li, Xuefeng Liu, Qin Ma

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. 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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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yingjie LiDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Cankun WangDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Anjun MaDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Abdul Qawee RaniThe James Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.
Mingjue LuoThe James Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.
Jenny LiThe James Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.
Xuefeng LiuThe James Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-9922-9627
Qin MaDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.

Funding

Developing Functional Human Cell Models to Study Initiation and Progression of Prostate Cancer between AA and EA menR01CA276474 · NCI · OHIO STATE UNIVERSITY · PI Xuefeng Liu · 2023 to 2026
$2.1M
Conditionally Reprogrammed Cell Model for Castration-Resistant Prostate Cancer (CRPC)R01CA222148 · NCI · OHIO STATE UNIVERSITY · PI LIU, XUEFENG · 2019 to 2022
$1.9M
Construction of cell specific gene co-regulations signatures based on single cell transcriptomics analysisR01GM131399 · NIGMS · SOUTH DAKOTA STATE UNIVERSITY · PI MA, QIN · 2018 to 2021
$1.3M
Validating Urine Derived Cancer Cells (UDCC) -- Non-Invasive and Living Liquid Biopsies -- in Bladder Cancer ClinicsR33CA258016 · NCI · OHIO STATE UNIVERSITY · PI LIU, XUEFENG · 2021 to 2023
$1.2M
NCI NIH HHS R01 CA222148NCI NIH HHS R01 CA276474NCI NIH HHS R33 CA258016NIGMS NIH HHS R01 GM131399
6 · The paper itself

Abstract

Human Papillomaviruses (HPVs) are associated with around 5%-10% of human cancer, notably nearly 99% of cervical cancer. The mechanisms HPV interacts with stratified epithelium (differentiated layers) during the viral life cycle, and oncogenesis remain unclear. In this study, we used single-cell transcriptome analysis to study viral gene and host cell differentiation-associated heterogeneity of HPV-positive cervical cancer tissue. We examined the HPV16 genes-E1, E6, and E7, and found they expressed differently across nine epithelial clusters. We found that three epithelial clusters had the highest proportion of HPV-positive cells (33.6%, 37.5%, and 32.4%, respectively), while two exhibited the lowest proportions (7.21% and 5.63%, respectively). Notably, the cluster with the most HPV-positive cells deviated significantly from normal epithelial layer markers, exhibiting functional heterogeneity and altered epithelial structuring, indicating that significant molecular heterogeneity existed in cancer tissues and that these cells exhibited unique/different gene signatures compared with normal epithelial cells. These HPV-positive cells, compared to HPV-negative, showed different gene expressions related to the extracellular matrix, cell adhesion, proliferation, and apoptosis. Further, the viral oncogenes E6 and E7 appeared to modify epithelial function via distinct pathways, thus contributing to cervical cancer progression. We investigated the HPV and host transcripts from a novel viewpoint focusing on layer heterogeneity. Our results indicated varied HPV expression across epithelial clusters and epithelial heterogeneity associated with viral oncogenes, contributing biological insights to this critical field of study.

Indexed as

Papillomavirus InfectionsUterine Cervical NeoplasmsCell DifferentiationFemaleHuman Papillomavirus VirusesHumansOncogenesTranscriptomecervical cancerHPV infectionsingle-cell RNA-seq

Identifiers

PMID37638381

What Socratic holds

Textmetadata
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Registered trials

None linked

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.