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Publication

Association between event-free survival and overall survival in early-stage triple-negative breast cancer

Future Oncology, 2023

21 August 2023

Aim

This study evaluated event-free survival (EFS) as a surrogate outcome for overall survival (OS) in neoadjuvant therapy for early-stage triple-negative breast cancer (eTNBC).

Methods

Meta-regression analyses based on a targeted literature review were used to evaluate the individual- and trial-level associations between EFS and OS.

Results

In the individual-level analyses, 3-year EFS was a significant predictor of 5-year OS (p < 0.01; coefficient of determinations [R2]: 0.82 [95% CI: 0.68-0.91]). Additionally, there was a statistically significant association between the treatment effect on EFS and OS at the trial level (p < 0.001; R2: 0.64 [95% CI: 0.45-0.82]).

Conclusion

This study demonstrates significant associations between EFS and OS and suggests that EFS is a valid surrogate for OS following neoadjuvant therapy for eTNBC.

Associated People

Weiguang Xue

Weiguang Xue

Mr. Xue consults on cases involving health economics and outcomes research (HEOR). He specializes in using health economics analyses to inform product launch strategies, as well as decision making in early-stage clinical development. Mr. Xue has extensive experience in the economic evaluation of health technologies across multiple therapeutic areas, including oncology, infectious diseases, autoimmune diseases, central nervous system diseases, ophthalmology, and gynecology. His work includes cost-effectiveness analysis, budget impact analysis, systematic literature review, indirect treatment comparison, evaluation of health care resource use, global value dossier, and market access strategy. He has led successful health technology assessment (HTA) submissions to the National Institute for Health and Care Excellence (NICE), the Scottish Medicines Consortium (SMC), and the All Wales Medicines Strategy Group (AWMSG). He has also developed global economic models across multiple indications and led country rollouts supporting market access in Europe, North America, and Asia.

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Yiqiao Xin

Yiqiao Xin

Dr. Xin specializes in health economics and outcomes research (HEOR). She provides expertise in decision-analytic modeling methods for health technology appraisals (HTA) and has led the design and implementation of cost-effectiveness and budget impact models in multiple countries. Dr. Xin’s work has also involved evidence synthesis such as network meta-analyses and matching-adjusted indirect comparisons, indirect treatment comparisons with individual-level patient data, clinical trial analyses, survey development, and patient-reported outcome (PRO) studies. Her work spans a broad range of disease areas, including oncology, immunology, dermatology, cardiovascular diseases, diabetes, and neurology. Prior to joining Analysis Group, Dr. Xin was a research associate at an academic institution, where she focused on trial- and model-based economic evaluations and PROs, as well as providing expertise on complex literature reviews and developing R Shiny applications for conducting network meta-analysis. Her work has been presented at clinical and economic research conferences and published in various peer-reviewed journals.

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