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An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
Published on: April 5, 2018
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.
Background:
Chromatin regulators (CRs) play a critical role in tumorigenesis, drug response, and prognosis, with dysregulation of chromatin regulator genes (CRGs) potentially disrupting the tumor immune microenvironment (TME) and influencing immune responses in cervical cancer. However, the prognostic and therapeutic implications of integrating CRGs and TME parameters in cervical cancer remain poorly understood.
Methods:
This study used prognostic CRGs and TME cell signatures identified through Cox regression and Kaplan-Meier survival analyses to construct the CRG and TME score. The CRG score for each cell was calculated by integrating single-cell and spatial transcriptome, which were subsequently integrated to develop a CRG-TME classifier for prognostic prediction. The prognosis, somatic mutations, immune characteristics, therapeutic benefits, and drug sensitivity were then analyzed across CRG-TME defined subgroups.
Results:
Both CRG score and TME score demonstrated prognostic value, and the high CRG score group showed distinct alterations in TME signaling dynamics and increased intensity of intercellular communication. Patients in CRGlow/TMEhigh subgroup exhibited enhanced prognosis and therapeutic responses compared to other subgroups, attributable to variations in tumor somatic mutations, immune-related molecules, cancer signaling pathways and drug sensitivity. Additionally, the clinical sample verification and in vitro experiments demonstrated that the key prognostic gene TSPYL2 was downregulated in cervical cancer tissues and overexpression of TSPYL2 inhibited the malignant progression of cervical cancer cells via regulating MAPK pathway and immune escape.
Conclusions:
This study develops a novel CRG-TME classifier to predict prognosis and therapy response in cervical cancer and unveils the inhibitory effect and underlying mechanism of TSPYL2 on cervical cancer progression.
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.
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