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Related Concept Videos

Barrett Esophagus-I: Introduction01:21

Barrett Esophagus-I: Introduction

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Barrett's esophagus is a medical condition where the esophageal mucosa is significantly damaged by stomach acid or other digestive fluids, often due to long-term exposure associated with gastroesophageal reflux disease (GERD). In GERD, a weakened or abnormally relaxed lower esophageal sphincter allows stomach acid to flow persistently into the esophagus.
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Mitogens and their receptors play a crucial role in controlling the progression of the cell cycle. However, the loss of mitogenic control over cell division leads to tumor formation. Therefore, mitogens and mitogen receptors play an important role in cancer research. For instance, the epidermal growth factor (EGF) - a type of mitogen and its transmembrane receptor (EGFR), decides the fate of the cell's proliferation. When EGF binds to EGFR, a member of the ErbB family of tyrosine kinase...
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Barrett Esophagus-II: Clinical Manifestations and Management01:21

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Individuals with Barrett's esophagus are often asymptomatic, but they may experience symptoms commonly associated with GERD, such as heartburn and acid regurgitation. Additional symptoms can include difficulty swallowing, chest pain, unintentional weight loss, blood in the stool (which may appear black, tarry, or bloody), and episodes of vomiting.
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Development of Compendium for Esophageal Squamous Cell Carcinoma
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Malignant epithelial cell marker-driven risk signature enables precise stratification in esophageal cancer.

Hao Zhang1,2, Shizhao Cheng1,2, Yijun Xu1,2

  • 1Tianjin Chest Hospital, Tianjin University, Tianjin, China.

Frontiers in Immunology
|June 11, 2025
PubMed
Summary
This summary is machine-generated.

This study reveals esophageal squamous cell carcinoma (ESCC) heterogeneity using single-cell RNA sequencing. A novel six-gene risk model predicts patient prognosis and guides personalized treatment strategies for esophageal cancer.

Keywords:
ESCCTMEepithelial cellskeywordscRNA-seq

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Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Esophageal squamous cell carcinoma (ESCC) is a heterogeneous cancer with limited prognostic value from traditional staging.
  • Intratumoral diversity significantly impacts patient outcomes, necessitating advanced analytical approaches.
  • Single-cell RNA sequencing (scRNA-seq) offers novel insights into tumor cellularity and potential therapeutic targets in esophageal cancer.

Purpose of the Study:

  • To construct a comprehensive cellular atlas of esophageal cancer using integrated scRNA-seq and bulk RNA-seq data.
  • To identify and characterize malignant epithelial subpopulations and their regulatory mechanisms.
  • To develop and validate a multi-gene risk model for prognostic prediction and treatment guidance in ESCC.

Main Methods:

  • Integrated scRNA-seq and bulk RNA-seq data for cellular atlas construction.
  • Utilized inferCNV for malignant cell identification and SCENIC/Monocle for transcriptional and trajectory analysis.
  • Developed a six-gene risk model using TCGA and GEO cohorts, validated with qRT-PCR and in vitro functional assays.

Main Results:

  • Identified ten cell types and six malignant epithelial subclusters with significant heterogeneity.
  • Developed a six-gene prognostic model (HMGB3, CHORDC1, CTSD, BTG2, MT1E, PHYHD1) with high predictive accuracy for overall survival.
  • Risk score correlated with an immunosuppressive tumor microenvironment and predicted drug sensitivity; HMGB3 knockdown inhibited ESCC progression.

Conclusions:

  • Systematically characterized epithelial cell heterogeneity in ESCC at single-cell resolution.
  • Established a validated risk model predicting prognosis, immune status, and drug response.
  • Highlighted the oncogenic role of HMGB3 and proposed a framework for personalized esophageal cancer treatment.