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 RB1. A classification method was designed according to the changes of RB1 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 RB1 mutation and mTBI provided a feasible tool to predict the prognosis of SCLC.
Citations
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Purpose
This subgroup analysis of a phase II trial was conducted to assess possible ethnicity-based trends in efficacy and safety in East Asian (EA) and non-EA populations with nonsquamous non-small cell lung cancer (NSCLC).
Materials and Methods
Never-smoker patients (n=240) with locally advanced or metastatic nonsquamous NSCLC included 133 EA patients randomized to pemetrexed supplemented with dexamethasone, folic acid, and vitamin B12 plus erlotinib (pemetrexed-erlotinib) (n=41), erlotinib (n=49), or pemetrexed (n=43), and 107 non-EA patients randomized to pemetrexed-erlotinib (n=37), erlotinib (n=33), or pemetrexed (n=37). The primary endpoint, progression-free survival (PFS), was analyzed using a multivariate Cox model.
Results
Consistent with the results of the overall study, a statistically significant difference in PFS among the three arms was noted in the EA population favoring pemetrexed-erlotinib (overall p=0.003) as compared with either single-agent arm (hazard ratio [HR], 0.48; 95% confidence interval [CI], 0.29 to 0.79; p=0.004 vs. erlotinib; HR, 0.40; 95% CI, 0.23 to 0.70; p=0.001 vs. pemetrexed). The EA patients treated with pemetrexed-erlotinib achieved a longer median PFS (7.4 months) compared with erlotinib (4.5 months) and pemetrexed (4.0 months). The PFS results also numerically favored pemetrexed-erlotinib in the non-EA population (overall p=0.210) (HR, 0.62; 95% CI, 0.37 to 1.05; p=0.078 vs. erlotinib; HR, 0.75; 95% CI, 0.42 to 1.32; p=0.320 vs. pemetrexed) (median PFS: pemetrexed-erlotinib, 6.7 months; erlotinib, 3.0 months; pemetrexed, 4.4 months).
Conclusion
The PFS results from this subset analysis in both EA and non-EA populations are consistent with the results in the overall population. The PFS advantage for pemetrexed-erlotinib is significant compared with the single agents in EA patients.
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