Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Integrating scRNA-Seq and Spatial Transcriptomics Reveal Novel Risk Stratification Signatures in Cervical Carcinoma.

Created on 18 Oct 2026

Authors

Jiayu Chen, Zhaoxiang Xie, Xuzhu Liu, Liangkai Zheng, Meiqing Li, Yanxiu Liu, Meng Jiang, Weiyan Ma, Chen Lin, Yulin Zhou, Rongqin Ke

Published in

Journal of medical virology. Volume 98. Issue 10. Pages e71184.

Abstract

Cervical cancer is the fourth most common malignancy in women worldwide. Biomarker-assisted screening may improve diagnostic accuracy, but biomarkers predicting progression of low-grade squamous intraepithelial lesions (LSIL) remain limited. We integrated single-cell RNA sequencing and spatial transcriptomics to identify prognostic biomarkers associated with LSIL outcomes, followed by validation using improved in situ sequencing (IISS). Analysis of 341,978 single cells identified eight major cell populations and twelve epithelial subclusters, including a previously unrecognized subcluster, epi8. Although mainly derived from normal cervix, epi8 exhibited cancer-associated features and shared molecular characteristics with the prognostic biomarkers FAM19A4 and miR124-2. In situ sequencing showed that epi8 localized adjacent to human papillomavirus-infected basal cells, with stage-dependent spatial changes during disease progression. Retrospective analysis further demonstrated that epi8-associated markers stratified LSIL into progression, persistence, and regression groups, with CRYABhigh/GAS5high associated with progression and RPLP1high/SNHG5high associated with regression. We identified a previously unrecognized epithelial subcluster associated with early cervical carcinogenesis and demonstrated that its molecular markers enable risk stratification of LSIL, providing candidate biomarkers for precision triage in cervical cancer screening.

PMID:
42891568
Bibliographic data and abstract were imported from PubMed on 18 Oct 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 25
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement