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The Radiosensitivity Index Gene Signature Identifies Distinct Tumor Immune Microenvironment Characteristics
G Daniel Grass1, Juan C L Alfonso2, Eric Welsh3
1Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Summary
Radiation sensitivity index (RSI) analysis reveals that tumors highly sensitive to radiation therapy exhibit enriched immune cell infiltrates and interferon signaling. This finding links tumor biology to the tumor immune microenvironment for better cancer treatment strategies.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Radiation therapy (RT) is a cornerstone of cancer treatment.
- The interplay between RT and the immune system is increasingly recognized.
- Understanding tumor immune contexture in relation to RT sensitivity is crucial for optimizing treatment.
Purpose of the Study:
- To investigate the relationship between tumor immune microenvironment and radiation sensitivity.
- To characterize tumor immune contexture using the radiation sensitivity index (RSI) gene signature.
- To analyze over 10,000 primary tumors for RSI and immune microenvironment correlations.
Main Methods:
- Gene expression profiles of 10,469 primary tumors across 31 types were analyzed.
- Radiation sensitivity index (RSI) was calculated to estimate RT sensitivity.
- Differential gene expression, gene set enrichment analysis, and deconvolution algorithms were employed to assess immune cell infiltrates and regulatory molecules.
Main Results:
- A wide spectrum of RSI values was observed across tumor types.
- High RT sensitivity correlated with distinct enrichment of interferon-associated signaling pathways.
- Tumors with high RSI showed increased infiltration of CD8+ T cells, activated NK cells, and M1 macrophages.
Conclusions:
- The RSI gene signature effectively characterizes tumor biology in relation to RT sensitivity.
- RT sensitivity is associated with specific immune microenvironment features, including immune cell infiltrates and interferon signaling.
- This study provides a framework for understanding tumor immune contexture and its implications for radiation oncology.
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