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Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
Published on: June 16, 2017
Dynamic Granulocyte Turnover Inferred From cfDNA Methylation Predicts Immunotherapy Benefit in Liver-Metastatic Small
Ning Tang1, Xiaoling Shang1, Yulan Sun1
1Department of Internal Medicine-Oncology Shandong Cancer Hospital and Institute Shandong First Medical University and Shandong Academy of Medical Sciences Jinan China.
None:
Liver metastases (LM) in small cell lung cancer (SCLC) are associated with a limited response to immune checkpoint inhibitors (ICIs). In this trial, we evaluated the efficacy of first-line envafolimab plus chemotherapy in SCLC patients with LM and explored potential predictive biomarkers. Patients received envafolimab in combination with chemotherapy for four cycles, followed by envafolimab monotherapy until disease progression or unacceptable toxicity. The primary endpoint was progression-free survival (PFS). Secondary endpoints included safety, objective response, overall survival, and identification of predictive biomarkers. Whole-exome sequencing (WES), transcriptome sequencing, DNA methylation sequencing, circulating tumor DNA (ctDNA) analysis, and cell-free DNA (cfDNA) methylation sequencing were performed on tumor tissues and peripheral blood samples. The objective response rate (ORR) was 75.9%, the disease control rate (DCR) was 100%, and the median PFS was 4.3 months. Granulocyte turnover and TNFRSF9 expression emerged as key indicators across transcriptomic and epigenomic analyses, and were associated with prognosis and liver dysfunction. cfDNA-based assessment of granulocyte turnover reflected both liver damage and tumor dynamics, suggesting its potential for real-time monitoring. These findings suggest that granulocyte activity may contribute to an immunosuppressive tumor microenvironment and serve as a predictive marker for treatment stratification in SCLC with LM.