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        The Feasibility of Using Biomarkers Derived from Circulating Tumor DNA Sequencing as Predictive Classifiers in Patients with Small-Cell Lung Cancer

        Yu Feng,Yutao Liu,Mingming Yuan,Guilan Dong,Hongxia Zhang,Tongmei Zhang,Lianpeng Chang,Xuefeng Xia,Lifeng Li,Haohua Zhu,Puyuan Xing,Hongyu Wang,Yuankai Shi,Zhijie Wang,Xingsheng Hu 대한암학회 2022 Cancer Research and Treatment Vol.54 No.3

        Purpose To investigate the feasibility of biomarkers based on dynamic circulating tumor DNA (ctDNA) to classify small cell lung cancer (SCLC) into different subtypes. Materials and Methods Tumor and longitudinal plasma ctDNA samples were analyzed by next-generation sequencing of 1,021 genes. PyClone was used to infer the molecular tumor burden index (mTBI). Pre-treatment tumor tissues [T1] and serial plasma samples were collected (pre-treatment [B1], after two [B2], six [B3] cycles of chemotherapy and at progression [B4]). Results Overall concordance between T1 and B1 sequencing (n=30) was 66.5%, and 89.5% in the gene of <i>RB1</i>. A classification method was designed according to the changes of <i>RB1</i> mutation, named as subtype Ⅰ (both positive at B1 and B2), subtype Ⅱ (positive at B1 but negative at B2), and subtype Ⅲ (both negative at B1 and B2). The median progressive-free survival for subtype Ⅰ patients (4.5 months [95%CI: 2.6-5.8]) was inferior to subtype Ⅱ (not reached, p<0.0001) and subtype Ⅲ (10.8 months [95%CI: 6.0-14.4], p=0.002). The median overall survival for subtype Ⅰ patients (16.3 months [95%CI: 5.3-22.9]) was inferior to subtype Ⅱ (not reached, p=0.01) and subtype Ⅲ (not reached, p=0.02). Patients with a mTBI dropped to zero at B2 had longer median overall survival (not reached vs. 19.5 months, p=0.01). The changes of mTBI from B4 to B1 were sensitive to predict new metastases, with a sensitivity of 100% and a specificity of 85.7%. Conclusion Monitoring ctDNA based <i>RB1</i> mutation and mTBI provided a feasible tool to predict the prognosis of SCLC.

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