The JAK-STAT signaling-related signature serves as a prognostic and predictive biomarker for renal cell carcinoma immunotherapy
- Szehoi Chan 1, Zixuan Liu 1, Yingying Chen 2, Shuna Chen 1, Yuelan Liang 1, Ziyi Yang 1, Zixuan Zhang 1, Miao Li 3, Xingding Zhang 1, Xueqi Liu 1
- Szehoi Chan 1, Zixuan Liu 1, Yingying Chen 2
- 1Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
- 2College of Stomatology, Jinan University, Guangzhou 510632, China.
- 3Department of Dermatovenereology, The Seveneth Affiliated Hospital of Sun Yat-sen University, Shenzhen 518106, China.
- 0Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies a Janus kinase/signal transduction and activator transcriptional (JAK/STAT) pathway signature to predict renal cell carcinoma (RCC) patient outcomes and response to immune checkpoint inhibitors (ICIs). High-risk patients show poorer prognosis and less benefit from immunotherapy.
Area Of Science
- Oncology
- Immunology
- Molecular Biology
Background
- Renal cell carcinoma (RCC) presents a significant challenge due to poor prognosis and high metastasis rates.
- Current immunotherapy for advanced RCC yields unsatisfactory outcomes.
- Predictive biomarkers are crucial for guiding treatment strategies and improving patient survival.
Purpose Of The Study
- To develop a Janus kinase/signal transduction and activator transcriptional (JAK/STAT) pathway-related gene signature for predicting renal cell carcinoma (RCC) patient prognosis.
- To assess the efficacy of this signature in predicting response to immune checkpoint inhibitors (ICIs).
- To guide the development of effective combination therapies for RCC.
Main Methods
- Screened 25 differentially expressed genes (DEGs) enriched in the JAK-STAT pathway in RCC samples.
- Identified 11 key genes correlating with Kidney Clear Cell Carcinoma (KICC) patient outcomes.
- Utilized these genes to classify patients into high-risk and low-risk groups and performed immunohistochemistry (IHC).
Main Results
- A JAK-STAT-related risk score was developed, correlating with KIRC clinicopathologic factors.
- High-risk patients exhibited poorer prognosis, increased protumor immune cell infiltration, and reduced benefit from immunotherapy.
- JAK3 and STAT4 expression was elevated in RCC tumors and positively associated with T stage.
Conclusions
- The JAK-STAT signaling pathway plays a critical role in RCC tumor immunity.
- The developed risk score accurately predicts RCC patient survival and response to ICIs.
- Targeting the JAK-STAT pathway in combination with immune checkpoints offers a potential therapeutic strategy for RCC.
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