Identification of disulfidptosis-related prognostic biomarkers associated with CD4 + and CD8 + T cells infiltration for sarcoma by integrating bioinformatic analysis and experimental validation
- Wenliang Tan 1, Xi Zhou 1,2,3, Ting Wang 4, Shuanghua Wu 5, Ting Mo 4, Zhiqin Xie 6, Yang Xie 7
- Wenliang Tan 1, Xi Zhou 1,2,3, Ting Wang 4
- 1Center of Hepatobiliary and Pancreatic Surgery, Medical Center of Digestive Disease, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, 412000, China.
- 2Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, China.
- 3School of Life Sciences, Central South University, Changsha, 410013, China.
- 4Rehabilitation Medicine Department, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, 412000, Zhuzhou, China.
- 5Intensive Care Medicine Department, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, 412000, Zhuzhou, China.
- 6Center of Hepatobiliary and Pancreatic Surgery, Medical Center of Digestive Disease, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, 412000, China. xiezhiqin@csu.edu.cn.
- 7Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, China. xy11105@csu.edu.cn.
- 0Center of Hepatobiliary and Pancreatic Surgery, Medical Center of Digestive Disease, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, 412000, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Disulfidptosis, a novel cell death, involves specific genes like CCDC69 and HMGB3. These genes can predict sarcoma prognosis and immune cell infiltration, offering potential diagnostic and therapeutic targets.
Area Of Science
- Oncology
- Cell Biology
- Immunology
Background
- Disulfidptosis is a newly identified cell death pathway induced by disulfide stress.
- The prognostic significance of disulfidptosis-related genes (DRGs) in sarcoma remains largely unknown.
- Understanding DRG patterns is crucial for advancing sarcoma diagnosis and treatment.
Purpose Of The Study
- To investigate the impact of DRG patterns on sarcoma patient prognosis.
- To identify novel prognostic biomarkers for sarcoma subtypes.
- To explore the relationship between DRGs, immune infiltration, and sarcoma progression.
Main Methods
- Bioinformatic analysis to identify prognostic DRGs.
- Development and validation of a prognosis prediction model using Kaplan-Meier (KM) and Area Under the Curve (AUC) analyses.
- Analysis of gene expression and immune cell infiltration using immunohistochemistry (IHC).
Main Results
- CCDC69 and HMGB3 were identified as key prognostic DRGs in sarcoma.
- The developed model demonstrated high accuracy in predicting sarcoma prognosis.
- Differential expression of CCDC69 and HMGB3 correlated with patient survival and immune cell infiltration (CD4+, CD8+ T cells).
- HMGB3 expression was significantly higher in sarcoma tissues compared to normal tissues.
Conclusions
- CCDC69 and HMGB3 serve as valuable prognostic biomarkers for sarcoma.
- These genes are linked to immune cell infiltration, suggesting a role in the tumor microenvironment.
- CCDC69 and HMGB3 represent potential targets for sarcoma immunotherapy and clinical diagnosis.
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