Importance: The China National Drug Administration (NMPA) established the breakthrough therapy designation (BTD) in 2020 to encourage the accelerated development of drugs for the prevention and treatment of diseases that are life-threatening. However, the differences between BTD and non-BTD cancer drugs regarding clinical benefit, regulatory approval, and price are unclear.
Objectives: To compare BTD and non-BTD cancer drugs in clinical benefit (defined as efficacy and safety), novelty, time to approval, and average monthly treatment price.
Design, Setting, And Participants: This cross-sectional study analyzes the original indication of BTD and non-BTD novel cancer drugs approved by the NMPA between July 8, 2020, and July 8, 2024. Data on efficacy, safety, regulatory approval, and price of cancer drugs were extracted from pivotal clinical trials based on review reports published by the NMPA, peer-reviewed articles or meeting reports, and winning bid prices for cancer drugs in the Chinese provincial-level centralized procurement process.
Main Outcomes And Measures: The main outcome was the efficacy and safety associated with BTD vs non-BTD cancer drugs, including progression-free survival (PFS), response rate (RR), duration of response, serious adverse events, grade 3 or higher adverse events, and treatment-related deaths. In addition, the time to approval, novelty, and initial and latest average monthly treatment prices were evaluated, as well as the average annual reduction rate (AARR; the sum of the reduction rates divided by the number of years for the monthly treatment price) for these cancer drugs.
Results: Between July 2020 and July 2024, 18 BTD (36%) and 32 non-BTD (64%) cancer drugs were approved by the NMPA. The median (IQR) clinical development time for BTD drugs was significantly shorter than for non-BTD drugs (5.6 [95% CI, 4.3-7.3] vs 6.6 [95% CI, 6.0-8.5] years; P = .02). No significant differences were observed in PFS (HR, 0.44 [95% CI, 0.38-0.52] vs HR, 0.51 [95% CI, 0.40-0.65]; P = .20), PFS gained (median [IQR], 5.4 [3.9-7.0] vs 2.7 [2.6-5.9] months; P = .77), RR (58% [95% CI, 45%-74%] vs 59% [95% CI, 51%-69%]; P = .85), and duration of response (median [IQR], 18.0 [15.0-21.6] vs 11.1 [7.4-17.4] months; P = .09) between BTD and non-BTD drugs. The rates of serious adverse events (37% [95% CI, 26%-52%] vs 32% [95% CI, 27%-36%]; P = .45), adverse events grade 3 or higher (64% [95% CI, 53%-77%] vs 55% [95% CI, 45%-68%]; P = .31), and treatment-related deaths (2% [95% CI, 1%-4%] vs 1% [95% CI, 1%-2%]; P = .10) were similar between BTD and non-BTD drugs. BTD drugs are more likely to be first-in-class drugs (5 of 18 [28%] vs 1 of 32 [3%]; P = .02). Differences in the median (IQR) initial ($5665 [$3542-$9321] vs $3361 [$2604-$5474]; P = .06) and latest ($5665 [$1553-$9321] vs $2145 [$1318-$4276]; P = .18) average monthly treatment prices for BTD drugs and non-BTD drugs were not significant. The median (IQR) AARRs for BTD drugs and non-BTD drugs were 15.2% (0%-46.9%) and 19.8% (1.0%-42.9%), respectively.
Conclusions And Relevance: The findings of this cross-sectional study suggest that BTD has facilitated faster time to market for cancer drugs and improved novelty, but the price of treatment is relatively higher. There was no significant difference on comparative efficacy and safety.
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http://dx.doi.org/10.1001/jamanetworkopen.2024.39080 | DOI Listing |
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Department of Traditional Chinese Medicine, Shanghai Fourth People's Hospital Affiliated to Tongji University of Medicine, Shanghai, China.
Based on network pharmacology and molecular docking methods, this study explored its active compounds and confirmed its potential mechanism of action against Hand-foot skin reaction induced by tumor-targeted drugs. Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and UniProt Database were used to obtain the active ingredients and target proteins of Spatholobi Caulis. All hand-foot skin reaction (HFSR)-related targets were obtained with the help of the Human Gene Database, Online Mendelian Inheritance in Humans (OMIM), DisGeNET and DrugBank databases.
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