Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy.
Yu DongQian GaoYong ChenZhao ZhangYanhua DuYuan LiuGuangxiong ZhangShengli LiGaoyang WangXiang ChenHong LiuLeng HanYouqiong YePublished in: Nature communications (2023)
Circular RNAs (circRNAs) play important roles in the regulation of cancer. However, the clinical implications and regulatory networks of circRNAs in cancer patients receiving immune checkpoint blockades (ICB) have not been fully elucidated. Here, we characterize circRNA expression profiles in two independent cohorts of 157 ICB-treated advanced melanoma patients and reveal overall overexpression of circRNAs in ICB non-responders in both pre-treatment and early during therapy. Then, we construct circRNA-miRNA-mRNA regulatory networks to reveal circRNA-related signaling pathways in the context of ICB treatment. Further, we construct an ICB-related circRNA signature (ICBcircSig) score model based on progression-free survival-related circRNAs to predict immunotherapy efficacy. Mechanistically, the overexpression of ICBcircSig circTMTC3 and circFAM117B could increase PD-L1 expression via the miR-142-5p/PD-L1 axis, thus reducing T cell activity and leading to immune escape. Overall, our study characterizes circRNA profiles and regulatory networks in ICB-treated patients, and highlights the clinical utility of circRNAs as predictive biomarkers of immunotherapy.
Keyphrases
- end stage renal disease
- newly diagnosed
- transcription factor
- chronic kidney disease
- ejection fraction
- cell proliferation
- free survival
- genome wide
- papillary thyroid
- prognostic factors
- peritoneal dialysis
- dna methylation
- single cell
- bone marrow
- squamous cell carcinoma
- gene expression
- endoplasmic reticulum stress
- combination therapy