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ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 42 Issue 6
Jun.  2026
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Article Contents

Evaluation methods and strategies for the synergistic effect of drug combinations in pancreatic diseases

DOI: 10.12449/JCH260635
Research funding:

National Natural Science Foundation of China (82374248);

National Natural Science Foundation of China (82304943);

Natural Science Foundation of Liaoning Province (2025-MS-250)

More Information
  • Corresponding author: MA Shurong, mashurong@dmu.edu.cn (ORCID: 0009-0006-4136-6713); SHANG Dong, shangdong@dmu.edu.cn (ORCID: 0000-0001-5003-5998)
  • Received Date: 2025-10-12
  • Accepted Date: 2025-12-19
  • Published Date: 2026-06-25
  • Pancreatic diseases are characterized by difficulties in diagnosis and treatment, as well as complex pathogenic mechanisms. Combined drug therapy can enhance therapeutic efficacy, overcome drug resistance, and reduce adverse effects through synergistic interactions and has thus emerged as an important strategy for improving the treatment of pancreatic diseases. This article systematically reviews the commonly used methods for evaluating the synergistic effect of drug combinations, including isobologram analysis, the Chou-Talalay method, Jin’s formula, and the weighted sum method, as well as the theoretical basis, applicability, and limitations of each method, and this article also summarizes the recent advances in their application in pancreatic diseases including pancreatic cancer and acute pancreatitis. By comparing the characteristics of different methods in terms of measurement accuracy and experimental dependence, this article further proposes a framework for evaluating the effect of multi-drug combinations tailored to pancreatic diseases, thereby providing a basis for the screening and optimization of drug combination regimens, as well as new perspectives for the future development of synergistic evaluation models and combined therapeutic strategies.

     

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