Increased IFN-β Indicates Better Survival in Hepatocellular Carcinoma Treated with Radiotherapy.
Yang ZhangWeifeng HongDanxue ZhengZongjuan LiYong HuYixing ChenPing YangZhaochong ZengShisuo DuPublished in: Clinical and experimental immunology (2024)
Pre-clinical data suggest that type I interferon (IFN) responsiveness is essential for the antitumor effects of radiotherapy (RT). However, its clinical value remains unclear. This study aimed to explore this from a clinical perspective. In cohort 1, data from 152 hepatocellular carcinoma (HCC) patients who received RT were analyzed. Blood samples were taken 1 day before and 2 weeks after RT. RT was found to increase serum levels of IFN-β (a subtype of IFN-I) in HCC patients (3.42 ± 1.57 to 5.51 ± 2.11 pg/mL, p < 0.01), particularly in those with favorable responses. Higher post-RT serum IFN-β levels (≥ 4.77 pg/mL) were associated with better progression-free survival (HR = 0.58, p < 0.01). Cohort 2 included 46 HCC patients, including 23 who underwent preoperative RT and 23 matched control HCC who received surgical resection without RT. Formalin-fixed paraffin-embedded samples were obtained. Neoadjuvant RT significantly increased IFN-β expression in tumor tissues compared to direct surgery (8.13% ± 5.19% to 15.10% ± 5.89%, p < 0.01). Higher post-RT IFN-β (> median) indicated better disease-free survival (p = 0.049). Additionally, increased CD11c+MHCII+CD141+ antigen presenting cell subsets and CD103+CD39+CD8+ tumor-infiltrating lymphocytes were found in the higher IFN-β group (p = 0.02, p = 0.03), which may contribute to the favorable prognosis in higher IFN-β group. Collectively, these findings suggest that IFN-β response activated by radiation may serve as a prognostic biomarker for HCC patients undergoing RT.
Keyphrases
- dendritic cells
- immune response
- free survival
- patients undergoing
- end stage renal disease
- newly diagnosed
- early stage
- chronic kidney disease
- locally advanced
- minimally invasive
- radiation therapy
- big data
- poor prognosis
- gene expression
- rectal cancer
- stem cells
- electronic health record
- coronary artery disease
- single cell
- patient reported outcomes
- artificial intelligence
- percutaneous coronary intervention
- patient reported
- binding protein
- bone marrow
- deep learning
- data analysis