Integrated single-cell, spatial, and bulk transcriptomics reveal a chromatin regulator-TME prognostic framework

Xiong Tian1,2, Rong Lin3, Jiaqian Bao1,2

  • 1Department of Public Research Platform, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China.

PubMed
Abstract

Insights

This study introduces a new classifier integrating chromatin regulators (CRs) and tumor microenvironment (TME) features to predict cervical cancer prognosis and treatment response. High CRG score/low TME score patients showed better outcomes, with TSPYL2 identified as a key inhibitory gene.

Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • Dysregulation of chromatin regulators (CRs) impacts cervical cancer, affecting the tumor immune microenvironment (TME) and patient outcomes.
  • The combined prognostic and therapeutic implications of CRGs and TME parameters in cervical cancer are not well understood.

Purpose of the Study:

  • To develop and validate a novel classifier integrating CRGs and TME signatures for predicting prognosis and therapy response in cervical cancer.
  • To investigate the role of specific genes, such as TSPYL2, in cervical cancer progression and their interaction with the TME.

Main Methods:

  • Prognostic CRGs and TME cell signatures were identified using Cox regression and Kaplan-Meier analyses.
  • A CRG-TME classifier was constructed by integrating single-cell and spatial transcriptomics.
  • Prognosis, somatic mutations, immune characteristics, and drug sensitivity were analyzed across defined subgroups.

Main Results:

  • Both CRG and TME scores showed prognostic value; a high CRG score correlated with altered TME signaling and communication.
  • The CRGlow/TMEhigh subgroup demonstrated superior prognosis and therapeutic response, linked to distinct tumor mutations, immune molecules, and signaling pathways.
  • TSPYL2 was found to be downregulated in cervical cancer; its overexpression inhibited cancer progression by regulating the MAPK pathway and immune escape.

Conclusions:

  • A novel CRG-TME classifier effectively predicts prognosis and therapy response in cervical cancer.
  • TSPYL2 plays an inhibitory role in cervical cancer progression, offering a potential therapeutic target.