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Prognostic Value of Endoplasmic Reticulum Stress-Related Gene Signature in Thyroid Cancer.
Min Wang1, Xiao-Peng Guo2, Zi-Bo Yuan1
1Cancer Center, Department of Nuclear Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, China.
Current Medical Science
|July 6, 2026
Summary
This study developed an 11-gene signature related to endoplasmic reticulum (ER) stress that accurately predicts thyroid cancer (TC) patient prognosis. This ER stress signature offers potential for identifying biomarkers and guiding clinical decisions in thyroid cancer.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Endoplasmic reticulum (ER) stress is implicated in cancer progression.
- Thyroid cancer (TC) prognosis can be influenced by cellular stress pathways.
Purpose of the Study:
- To investigate the role of ER stress in thyroid cancer progression.
- To develop a prognostic gene signature for thyroid cancer.
Main Methods:
- Differential gene expression analysis on TCGA data (572 samples).
- Identification and selection of ER stress-related genes (ERSGs) using LASSO and Cox regression.
- Validation of an 11-gene prognostic model in an independent clinical cohort (90 samples) via RT-qPCR.
- Analysis of immune infiltration and drug sensitivity differences between risk groups.
Main Results:
- An 11-gene prognostic model was constructed, identifying high-risk patients with significantly worse overall survival (log-rank P < 0.001).
- The model demonstrated good predictive performance (AUCs 0.74-0.71 for 1-5 year survival).
- Significant differences in immune cell infiltration and drug sensitivity were observed between risk groups. Gene expression was validated in clinical samples.
Conclusions:
- The 11-gene ER stress signature independently predicts prognosis in thyroid cancer patients.
- This signature may serve as a prognostic biomarker for thyroid cancer.
- Findings provide insights into ER stress in thyroid cancer and support clinical decision-making.
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