Landscape of clinical drug development of ADCs used for the pharmacotherapy of cancers: an overview of clinical trial registry data from 2002 to 2022.

BACKGROUND: To provide reference for clinical development of ADCs in the industry, we analyzed the landscape and characteristics of clinical trials about antibody-drug conjugates (ADCs). METHOD: Clinical trials to study ADCs used for the pharmacotherapy of cancers initiated by the sponsor were searched in the Cite line Pharma Intelligence (Trialtrove database), and the landscape and characteristics of these clinical trials were analyzed from multiple perspectives, such as the number, phases, status, indications, and targets of the clinical trials. RESULT: As of December 31, 2022, a total of 431 clinical trials have been initiated to study ADCs used for the pharmacotherapy of cancers, and the number of the last 10 years was 5.5 times as large as the first 11 years. These clinical trials involved 47 indications, including breast cancer, lymphoma (lymphoma, non-Hodgkin's and lymphoma, Hodgkin's), unspecified solid tumor, bladder cancer and lung cancer (lung, non-small cell cancer and lung, small cell cancer). As for each of these five indications, 50 + clinical trials have been carried out, accounting for as high as 48.50% (454/936). ADCs involve 38 targets, which are relatively concentrated. Among them, ERBB2 (HER2) and TNFRSF8 (CD30) involve in 100 + registered clinical trials, and TNFRSF17 (BCMA), NECTIN4 and CD19 in 10 + trials. The clinical trials for these five targets account for 79.02% (354/448) of the total number. Up to 93.97% (405/431) of these clinical trials explored the correlation between biomarkers and efficacy. Up to 45.91% (292/636) of Lots (lines of treatment) applied in the clinical trials were the second line. Until December 31, 2022, 54.52% (235/431) of the clinical trials have been completed or terminated. CONCLUSION: ADCs are a hotspot of research and development in oncology clinical trials, but the indications, targets, phases, and Lot that have been registered are seemingly relatively concentrated at present. This study provides a comprehensive analysis which can assist researchers/developer quickly grasp relevant knowledge to assess a product and also providing new clues and ideas for future research.

The combination use of inclisiran and statins versus statins alone in the treatment of dyslipidemia in mainland China: a cost-effectiveness analysis.

Objective: Statin is well-established as a classical lipid-lowering drug, and its cost has reduced considerably in the past years. Inclisiran is a new and effective lipid-lowering drug given as a subcutaneous injection at 6-month intervals. This study aims to evaluate the cost-effectiveness of the combination use of inclisiran and statin versus statin alone for dyslipidemia in the mainland China population. Methods: The Markov decision-making model was used, and the clinical data and real-world data were collected at the University of Hong Kong-Shenzhen Hospital (HKU-SZH). Patients with cardiovascular disease (CVD) and blood lipid levels above the target on statin therapy were included as the target population and analyzed for cardiovascular events, future medical expenses, and the calculation made for the total life cost, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs). Sensitivity analysis was conducted to evaluate the influence of parameter uncertainty on the base-case analysis results. Results: If inclisiran was priced at Chinese renminbi (RMB) 20,000.00 (USD 2,973.49) per injection, patients in the inclisiran and statin group would incur an incremental cost of RMB 449,233.56 (USD 66,789.60) compared with the statin group, and they would obtain 0.21 more QALYs in their life cycle. The subsequent ICER of RMB 2,127,756.78 (USD 316,343.32)/QALY was significantly higher than the willingness-to-pay (WTP) threshold of 3 times the per capita GDP of China, which was RMB 257,094.00 (USD 38,223.33)/QALY, suggesting that the combined use of inclisiran and statin was not cost-effective. If the price of inclisiran were reduced to RMB 2,500.00 (USD 371.69)/injection, the ICER of patients in the inclisiran and statin group would become RMB 257,790.63 (USD 38,326.91)/QALY, which is slightly lower than the WTP threshold of 3 times the per capita GDP of China, indicating that the combined use of inclisiran and statin would be cost-effective. Conclusion: If inclisiran is priced at RMB 20,000.00 (USD 2,973.49)/injection, then the combined use of inclisiran and statins is not cost-effective compared with statin alone. It will be economical only if the price of inclisiran is reduced by more than 88%.

Metabolically Healthy Obesity and High Carotid Intima-Media Thickness in Children and Adolescents: International Childhood Vascular Structure Evaluation Consortium.

OBJECTIVE: It has been argued that metabolically healthy obesity (MHO) does not increase cardiovascular disease (CVD) risk. This study examines the association of MHO with carotid intima-media thickness (cIMT), a proxy of CVD risk, in children and adolescents. RESEARCH DESIGN AND METHODS: Data were available for 3,497 children and adolescents aged 6-17 years from five population-based cross-sectional studies in Brazil, China, Greece, Italy, and Spain. Weight status categories (normal, overweight, and obese) were defined using BMI cutoffs from the International Obesity Task Force. Metabolic status (defined as "healthy" [no risk factors] or "unhealthy" [one or more risk factors]) was based on four CVD risk factors: elevated blood pressure, elevated triglyceride levels, reduced HDL cholesterol, and elevated fasting glucose. High cIMT was defined as cIMT ≥90th percentile for sex, age, and study population. Logistic regression model was used to examine the association of weight and metabolic status with high cIMT, with adjustment for sex, age, race/ethnicity, and study center. RESULTS: In comparison with metabolically healthy normal weight, odds ratios (ORs) for high cIMT were 2.29 (95% CI 1.58-3.32) for metabolically healthy overweight and 3.91 (2.46-6.21) for MHO. ORs for high cIMT were 1.44 (1.03-2.02) for unhealthy normal weight, 3.49 (2.51-4.85) for unhealthy overweight, and 6.96 (5.05-9.61) for unhealthy obesity. CONCLUSIONS: Among children and adolescents, cIMT was higher for both MHO and metabolically healthy overweight compared with metabolically healthy normal weight. Our findings reinforce the need for weight control in children and adolescents irrespective of their metabolic status.