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ctDNA SNORD3F高甲基化是egfr - tki治疗晚期非小细胞肺癌的预后指标
Authors Liu B, Zhao B, Yin Y, Jiang Y, Feng X, Wang L, Zhai L, Liu G, Shi D , Qin J
Received 19 April 2024
Accepted for publication 27 August 2024
Published 11 October 2024 Volume 2024:16 Pages 1405—1416
DOI https://doi.org/10.2147/CMAR.S474241
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Chien-Feng Li
Bin Liu,* Bingtian Zhao,* Yan Yin, Yan Jiang, Xue Feng, Lei Wang, Liang Zhai, Guangxin Liu, Dongsheng Shi, Jianwen Qin
Department of Respiratory and Critical Medicine, Tianjin Chest Hospital, Tianjin, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Dongsheng Shi; Jianwen Qin, Tianjin Chest Hospital, No. 261, Taierzhuang South Road, Jinnan District, Tianjin, 300051, People’s Republic of China, Email shi_ds@126.com; qinjianwen2005@aliyun.com; 5020200603@nankai.edu.cn
Purpose: DNA methylation plays a regulatory role in the oncogenesis and tumor progression and is valuable in the diagnosis and prognosis of cancer. While circulating tumor DNA (ctDNA) is widely used in the detection of oncogenic mutations and the guidance of treatment in advanced non-small cell lung cancer (NSCLC), studies of ctDNA methylation remains insufficient. We aim to investigate the methylation profiles of ctDNA in patients with advanced NSCLC undergoing EGFR-tyrosine kinase inhibitor (EGFR-TKI) therapy and to discover novel biomarkers with predictive or prognostic value.
Patients and Methods: We recruited 49 patients with EGFR-mutated advanced NSCLC undergoing EGFR-TKI as first-line treatment. Utilizing next-generation sequencing, we examined the somatic mutations and methylation signatures within the tumor-associated genomic regions of ctDNA from pre-treatment blood. Subsequently, we explored the association of these molecular features with the patients’ response to therapy and their progression-free survival (PFS).
Results: Genomic mutation profiling revealed no significant association of PFS or best overall response (BOR) and ctDNA status. Evaluation of ctDNA methylation showed a negative correlation between the methylation of small nucleolar RNA (snoRNA) genes and PFS (R=− 0.31, P=0.043). Furthermore, high-level methylation of SNORD3F was associated with poorer PFS (mPFS 346d vs 243d, HR 0.49, 95% CI 0.24– 0.93, P=0.029).
Conclusion: Our study explored the prognostic value of ctDNA methylation in patients with advanced NSCLC undergoing targeted therapies and first revealed the predictive role of SNORD3F.
Keywords: ctDNA, EGFR, DNA methylation, lung cancer, snoRNA, SNORD3F