Comparison of bleomycin polidocanol foam vs electrochemotherapy combined with polidocanol foam for treatment of venous malformations.

OBJECTIVE: This study aims to investigate the difference in safety and efficacy between two treatments for venous malformations (VMs), electrochemotherapy combined with polidocanol foam (ECP) and bleomycin polidocanol foam (BPF), providing alternative therapies for VMs. METHODS: We conducted a retrospective review of 152 patients with VMs treated with ECP and BPF. Pre- and post-treatment magnetic resonance images (MRIs) were collected, and clinical follow-up assessments were performed. Imaging results were used to calculate lesion volume changes. Clinical outcomes included changes in pain and improvements in perceived swelling. Patients were followed up at 1 week and 6 months after surgery. All emerging complications were documented in detail. RESULTS: Of the 152 patients, 87 (57.2%) received BPF treatment, and 65 (42.8%) received ECP treatment. The most common location of VMs was the lower extremities (92/152; 60.2%), and the most common symptom was pain (108/152; 71.1%). Forty-three patients had previously undergone therapy in the BPF group (43/87; 49.4%), whereas 30 patients had received prior treatment in the ECP group (30/65; 46.2%). The study found that the percentage of lesion volume reduction in the BPF group was not significantly different from that in the ECP group (75.00% ± 17.85% vs 74.69% ± 8.48%; P = .899). ECP was more effective when the initial lesion volume was greater than 30 mL (67.66% ± 12.34% vs 73.47% ± 8.00%; P = .048). Patients treated with BPF had significantly less posttreatment pain than those treated with ECP, in different baseline lesion size. In the overall sample, pain relief was significantly higher in the BPF group than in the ECP group (4.21 ± 1.19 vs 3.57 ± 0.76; P = .002). However, there was no difference in pain relief between the two groups for the treatment of initially large VMs (4.20 ± 0.94 vs 3.70 ± 0.87; P = .113). The ECP group was significantly more likely to develop hyperpigmentation (5/87; 5.75% vs 11/65; 16.92%; P = .026) and swelling (9/87; 10.34% vs 16/65; 24.62%; P = .019) 1 week after surgery than the BPF group. CONCLUSIONS: Our study demonstrates that both BPF and ECP are effective treatments for VMs, with BPF being a safer option. ECP is a better choice for patients with the initial lesion volume greater than 30 mL, but it is more likely to lead to early swelling and hyperpigmentation.

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.