Novel Indole-Based Sulfonylhydrazones as Potential Anti-Breast Cancer Agents: Synthesis, In Vitro Evaluation, ADME,

Violina T Angelova1, Rositsa Mihaylova1, Zvetanka Zhivkova1

  • 1Faculty of Pharmacy, Medical University of Sofia, 1000 Sofia, Bulgaria.

Insights

New hybrid compounds show selective cancer-killing ability against specific breast cancer types. Compound 3b is highly potent against ER-α⁺ cells, while 3f targets triple-negative cells, offering potential for new drug development.

Area of Science:

  • Medicinal Chemistry
  • Organic Synthesis
  • Cancer Biology

Background:

  • Breast cancer remains a major global health concern, necessitating new chemotherapeutic agents.
  • Targeted therapies are advancing, but selective cytotoxicity against specific breast cancer subtypes is still needed.

Purpose of the Study:

  • To design, synthesize, and evaluate novel hybrid indolyl-methylidene phenylsulfonylhydrazones for selective breast cancer cytotoxicity.
  • To identify structural features influencing anticancer activity through quantitative structure-activity relationship (QSAR) analysis.

Main Methods:

  • Synthesis and structural characterization (NMR, HRMS, X-ray diffraction) of novel compounds.
  • In silico screening for drug likeness and ADME properties.
  • In vitro cytotoxicity assays (MTT) against MCF-7 (ER-α⁺) and MDA-MB-231 (triple-negative) breast cancer cell lines.
  • QSAR analysis to correlate structure with activity.

Main Results:

  • Compounds demonstrated selective cytotoxicity, primarily against MCF-7 cells.
  • Compound 3b showed high potency (IC50 = 4.0 μM) and selectivity (SI = 20.975) against MCF-7 cells.
  • Compound 3f exhibited strong activity against MDA-MB-231 cells (IC50 = 4.7 μM).
  • QSAR identified key structural features, including non-substituted phenyl rings and specific indolyl substituents, enhancing activity.

Conclusions:

  • Synthesized phenylsulfonylhydrazone hybrids show promising selective cytotoxicity against breast cancer cells, especially ER-α⁺.
  • Structural insights from QSAR analysis guide future optimization for developing selective anticancer agents.