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Endoplasmic Reticulum Stress-Related Four-Biomarker Risk Classifier for Survival Evaluation in Esophageal Cancer.

Xiang Xu^1,2, Yeqing Tang¹, Jiashan Zhu¹

¹Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Journal of Oncology

|March 28, 2022

Summary

A new risk classifier using four endoplasmic reticulum stress-related genes (ERGs) effectively predicts survival outcomes in esophageal cancer (EC) patients. This tool aids in assessing patient prognosis and identifying potential therapeutic targets for EC.

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Area of Science:

Oncology
Molecular Biology
Bioinformatics

Background:

Esophageal cancer (EC) is a highly lethal digestive malignancy with poor clinical outcomes.
Endoplasmic reticulum (ER) stress is implicated in various tumor behaviors, including progression and malignancy.
Identifying reliable prognostic markers and therapeutic targets is crucial for improving EC patient management.

Purpose of the Study:

To develop and validate an ER stress-based risk classifier for assessing patient outcomes in esophageal cancer.
To identify robust ER stress-related genes (ERGs) as potential targets for medical decision-making in EC.
To analyze the association between ER stress markers and immune cell infiltration in EC.

Main Methods:

Utilized transcriptome and survival data from 340 EC cases across TCGA and GEO public datasets.
Employed Cox regression analyses to construct a risk classifier based on ER stress-related genes (ERGs).
Validated the classifier's predictive ability using survival analysis, ROC curves, and immune-associated algorithms.

Main Results:

A risk classifier comprising four ERGs (BCAP31, HSPD1, PDHA1, UBE2D1) was established, termed the ERG-related classifier (ERC).
The ERC successfully distinguished EC patients into distinct risk subgroups with significant differences in survival outcomes, confirmed in both TCGA and GEO cohorts.
The ERC demonstrated the ability to predict the infiltration levels of immunocytes, including Tregs and NK cells.

Conclusions:

A novel four-ERG risk classifier was developed for esophageal cancer.
This classifier exhibits strong capabilities in evaluating patient survival and holds potential for clinical decision-making.
The findings highlight the role of ER stress in EC prognosis and immune microenvironment.