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Updated: Mar 22, 2026
13:34
A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
Published on: April 6, 2016
10.7K
[Effective core formulae for lung cancer based on complex network and survival analysis]
Summary
This study used data mining to identify effective core formulae (CEF) for lung cancer treatment in Traditional Chinese Medicine (TCM). Two key CEF combinations were found to significantly improve patient survival times.
Area of Science:
- Integrative oncology
- Computational pharmacology
- Traditional Chinese Medicine research
Context:
- Traditional Chinese Medicine (TCM) offers complex treatment strategies for lung cancer.
- Discovering effective core formulae (CEF) requires advanced analytical methods.
- Understanding TCM prescription knowledge is crucial for modern oncology.
Purpose:
- To investigate data mining methods for discovering lung cancer CEF.
- To apply prescription fingerprint and network analysis for herb screening.
- To identify and validate CEF associated with improved patient survival.
Summary:
- A prescription fingerprint approach and D index screened 43 beneficial herbs.
- Maximal clique and survival analysis identified two significant CEF for lung cancer.
- These CEF were validated using parametric and multivariate survival models, correlating with patient survival time.
Impact:
- The study demonstrates a feasible data mining approach for discovering TCM CEF in lung cancer.
- Identified CEF align with TCM principles of strengthening body resistance.
- Provides a novel method for analyzing complex TCM onco-therapy and survival data.
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