Genomic characteristics and drug screening among organoids derived from non-small cell lung cancer patients.

BACKGROUND: Patient-derived organoid (PDO) models are highly valuable and have potentially widespread clinical applications. However, limited information is available regarding organoid models of non-small cell lung cancer (NSCLC). This study aimed to characterize the consistency between primary tumors in NSCLC and PDOs and to explore the applications of PDOs as preclinical models to understand and predict treatment response during lung cancer. METHODS: Fresh tumor samples were harvested for organoid culture. Primary tumor samples and PDOs were analyzed via whole-exome sequencing. Paired samples were subjected to immunohistochemical analysis. There were 26 antineoplastic drugs tested in the PDOs. Cell viability was assessed using the Cell Titer Glo assay 7-10 days after drug treatment. A heatmap of log-transformed values of the half-maximal inhibitory concentrations was generated on the basis of drug responses of PDOs through nonlinear regression (curve fit). A total of 12 patients (stages I-III) were enrolled, and 7 paired surgical tumors and PDOs were analyzed. RESULTS: PDOs retained the histological and genetic characteristics of the primary tumors. The concordance between tumors and PDOs in mutations in the top 20 NSCLC-related genes was >80% in five patients. Sample purity was significantly and positively associated with variant allele frequency (Pearson r = 0.82, P = 0.0005) and chromosome stability. The in vitro response to drug screening with PDOs revealed high correlation with the mutation profiles in the primary tumors. CONCLUSIONS: PDOs are highly credible models for detecting NSCLC and for prospective prediction of the treatment response for personalized precision medicine. KEY POINTS: Lung cancer organoid models could save precious time of drug testing on patients, and accurately select anticancer drugs according to the drug sensitivity results, so as to provide a powerful supplement and verification for the gene sequencing.

A multicenter phase II study of sorafenib monotherapy in clinically selected patients with advanced lung adenocarcinoma after failure of EGFR-TKI therapy (Chinese Thoracic Oncology Group, CTONG 0805).

OBJECTIVES: Aim of the study was to investigate efficacy and safety of sorafenib in patients with advanced lung adenocarcinoma after failure of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) therapy. PATIENTS AND METHODS: Patients who were diagnosed with stage IIIB or stage IV lung adenocarcinoma, and benefited from one prior EGFR-TKI therapy and then failed, were eligible. No more than one previous chemotherapy regimen was permitted. Patients received oral sorafenib 400mg twice daily continuously until disease progression or intolerable toxicity. Primary endpoint was disease control rate (DCR). Secondary endpoints included safety, progression-free survival (PFS) and overall survival (OS). For patients who agreed to provide peripheral blood or tumor tissue, we analyzed the genotype of Bcl-2-interacting mediator of cell death (BIM) deletion polymorphism and EGFR mutation status. RESULTS: Of 65 enrolled patients, 64 were evaluable. The DCR was 32.8%, which did not meet the predefined statistical hypothesis of 38.4%. The median PFS and OS were 3.7 months [95% (confidence interval), 3.5-3.9 months] and 7.4 months (95% CI, 5.7-9.2 months), respectively. Logistic regression analysis showed no correlation between DCR and age, gender, smoking status and performance status. Hand-foot syndrome (HFS) was the predominant toxicity occurring in 71.9% of patients. Fourteen patients (21.9%) had ≥ grade 2 dermatologic reactions that resulted sorafenib dose reduction in three patients (4.7%). Of 36 patients, the BIM deletion polymorphism was found in 3, and no response to sorafenib was observed. In 30 tumor tissues, 22 EGFR active mutations were found. The DCR had no significant difference between mutation-positive and wild-type patients (31.8% vs. 42.9%, respectively; HR, 0.622; p=0.665). CONCLUSION: Sorafenib monotherapy did not achieve positive result in patients defined in our trial and we need better biomarker to determine the population who can benefit from sorafenib treatment (ClinicalTrials.gov number: NCT00922584).