| Literature DB >> 32629833 |
Yung-Hung Luo1,2,3, Yi-Ping Yang2,4,5, Chian-Shiu Chien4,6, Aliaksandr A Yarmishyn4, Afeez Adekunle Ishola4,7, Yueh Chien4, Yuh-Min Chen1,2,3, Tsai-Wang Huang8, Kang-Yun Lee9,10,11, Wen-Chien Huang12,13, Ping-Hsing Tsai4, Tzu-Wei Lin4, Shih-Hwa Chiou4,6, Chao-Yu Liu2,14, Cheng-Chang Chang15, Ming-Teh Chen2,16, Mong-Lien Wang2,4,6,17.
Abstract
Lung cancer (LC) causes the majority of cancer-related deaths. Circular RNAs (circRNAs) were reported to play roles in cancers by targeting pro- and anti-oncogenic miRNAs. However, the mechanisms of circRNAs in LC progression and their prognostic value of treatment response remain unclear. By using next generation sequencing (NGS) of LC cell lines' transcriptomes, we identified highly overexpressed hsa_circ_0000190 and hsa_circ_000164 as potential biomarkers. By using the highly sensitive RT-ddPCR method, these circRNAs were shown to be secreted by cell lines and were detected in human blood. Clinical validation by RT-ddPCR was carried out on 272 (231 LC patients and 41 controls) blood samples. Higher hsa_circ_0000190 levels were associated with larger tumor size (p < 0.0001), worse histological type of adenocarcinoma (p = 0.0028), later stage (p < 0.0001), more distant metastatic organs (p = 0.0039), extrathoracic metastasis (p = 0.0004), and poor survival (p = 0.047) and prognosis. Using liquid biopsy-based RT-ddPCR, we discovered the correlation between increased hsa_circ_0000190 plasma level (p < 0.0001) and higher programmed death-ligand 1 (PD-L1) level in tumor (p = 0.0283). Notably, long-term follow-up of the immunotherapy treated cases showed that upregulated plasma hsa_circ_0000190 level correlated with poor response to systemic therapy and immunotherapy (p = 0.0002, 0.0058, respectively). Secretory circRNAs are detectable in blood by LB-based RT-ddPCR and may serve as blood-based biomarkers to monitor disease progression and treatment efficacy.Entities:
Keywords: circular RNA; droplet digital PCR; liquid biopsy; lung cancer; programmed death-ligand 1
Year: 2020 PMID: 32629833 DOI: 10.3390/cancers12071740
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639