Multiple-line Chemotherapy and Tyrosine Kinase Inhibitor Treatment in Patients with Advanced Lung Cancer.

AIM: To analyse the clinical outcomes of patients with lung cancer treated with first and multiple-line chemotherapy and tyrosine kinase inhibitor (TKI). PATIENTS & METHODS: The present study included a total of 89 patients of whom lung cancer was histologically confirmed between July 2016 and September 2017. Patients' demographics, chemotherapy/TKI treatment details and clinical outcomes were retrieved. The progression-free survivals (PFS) after first-line and multiple-line treatments were evaluated using Kaplan-Meier analysis with log-rank test. Risk factors for progressive disease (PD) were identified using Cox multivariate regression model. RESULTS: A total of 50 males and 39 females were enrolled. About 90% of the tumors were histologically classified as adenocarcinoma, and 77/89 cases (86.5%) were at TNM stage IV. The median PFS for the first-line treatment was 6.17 months. After first-line treatment, more favourable PFS was observed in patients who had prior surgery of lung cancer (P = 0.002). Multivariate analysis showed that patients who had received no prior surgical treatment for lung cancer were at higher risk of PD (OR, 4.311; 95% CI, 1.836 to 10.120; P = 0.0008). Besides, in patients with driver mutations, those who received no TKI treatment were under higher risk of PD compared to those who had been treated with TKI (OR, 4.876; 95% CI, 1.877 to 12.666; P = 0.0011). The median PFS for the multiple-line treatment was 24.67 months. After multiple-line treatments, favourable PFS was associated with tumor histological types of adenocarcinoma (P = 0.041), genetic lesions at exon 19 of EGFR (P = 0.001) and fourth-line treatment (P = 0.001). Risk factors for PD after multiple-line treatments were no prior surgery for lung cancer (OR, 3.335; 95% CI, 1.158 to 9.605; P = 0.0256), no TKI use in multiple-line treatment (OR, 10.095; 95% CI, 2.405 to 42.378; P = 0.0016), and being treated by first-line treatment alone (OR, 30.421; 95% CI, 4.813 to 192.269; P = 0.0003). CONCLUSION: The present study demonstrated the benefits of TKI in patients with advanced lung cancer, providing insights into the refinement of the management strategy.

Comparison of the SuperARMS and Droplet Digital PCR for Detecting EGFR Mutation in ctDNA From NSCLC Patients.

BACKGROUND: Liquid biopsy is emerging as an important approach for tumor genotyping in non-small cell lung cancer, ddPCR and SuperARMS are both methods with high sensitivity and specificity for detecting EGFR mutation in plasma. We aimed to compare ddPCR and SuperARMS to detect plasma EGFR status in a cohort of advanced NSCLC patients. METHOD: A total of 79 tumor tissues and paired plasma samples were collected. The EGFR mutation status in tissue was tested by ADx-ARMS, matched plasma was detected by ddPCR and SuperARMS, respectively. RESULTS: The EGFR mutation rates were identified as 64.6% (tissue, ARMS), 55.7% (plasma, ddPCR), and 49.4% (plasma, Super ARMS), respectively. The sensitivity of ddPCR was similar with Super-ARMS in plasma EGFR detection (80.4% vs 76.5%), as well as the specificity (89.3% vs 100%). And the McNemar's test showed there was no significant difference (P = .125). The concordance rate between SuperARMS and ddPCR was 91.1%. A significant interaction was observed between cfDNA EGFR mutation status and EGFR-TKIs treatment tested by both methods. CONCLUSION: Super-ARMS and ddPCR share the similar accuracy for EGFR mutation detection in plasma biopsy; both methods predicted well the efficacy of EGFR-TKIs by detecting plasma EGFR status.