Decision making for promising quinoline-based anticancer agents through combined methodology.

Area of Science:

• Medicinal Chemistry
• Drug Discovery
• Cancer Research

Background:

• Developing effective anticancer drugs requires identifying candidates with high efficacy and low toxicity.
• Quinoline derivatives are a class of compounds with potential therapeutic applications.

Purpose of the Study:

• To identify and rank promising quinoline-based anticancer agents.
• To evaluate anticancer potential against HeLa, C6, and HT29 cancer cell lines.
• To apply a multicriteria decision-making methodology (MCDM) for accurate prediction.

Main Methods:

• Synthesis of novel quinoline derivatives with diverse functional groups.
• Anticancer assays to determine inhibitory concentration (IC50) and cytotoxicity (lactate dehydrogenase release).
• Application of a multicriteria recommendation method (MCDM) for data analysis and prediction.

Main Results:

• Seven quinoline derivatives demonstrated significant anticancer potential.
• 5,7-dibromo-8-hydroxyquinoline (2) and 6,8-dibromo-1,2,3,4-tetrahydroquinoline (6) were identified as the most promising agents.
• The MCDM approach accurately predicted the efficacy of the identified compounds.

Conclusions:

• The study successfully identified potent quinoline-based anticancer agents.
• The combination of experimental data and MCDM provides a robust method for drug candidate selection.
• Compounds 2 and 6 warrant further investigation for cancer treatment development.