Breakthrough Organoselenium Compound Shows Promise in Fighting Aggressive Triple-Negative Breast Cancer

September 1, 2025
Breakthrough Organoselenium Compound Shows Promise in Fighting Aggressive Triple-Negative Breast Cancer
  • Recent research highlights the potential of nitro-substituted organoselenium compounds as broad-spectrum, multitargeting anticancer agents, offering a promising new approach beyond traditional chemotherapy.

  • Scientists at IASST and IIT Guwahati have developed a novel nitro-substituted organoselenium compound called diselenide 7, synthesized through nucleophilic substitution, which shows significant promise against aggressive triple-negative breast cancer.

  • This compound was created by researchers Dr. Asis Bala and Dr. Krishna P. Bhabak, utilizing techniques involving selenium derivatives to ensure stability and purity.

  • Preclinical studies in Swiss albino mice with breast adenocarcinoma demonstrated that diselenide 7 notably reduced tumor size, decreased angiogenesis and metastasis, and extended the animals' lifespan.

  • The findings from these animal studies suggest that the compound effectively targets tumor growth and spread, indicating its potential as an anticancer drug.

  • Mechanistically, diselenide 7 acts by targeting multiple cancer survival pathways, including blocking Akt/mTOR and ERK signaling, while inducing reactive oxygen species (ROS) production and reducing inflammation.

  • The compound's anticancer effects are achieved through damaging cancer cell DNA, leading to cell death, and reducing the invasiveness of breast cancer cells by modulating key pathways.

  • This multitargeting approach disrupts cancer cell growth and promotes cell death, especially in challenging cases like triple-negative breast cancer, highlighting its potential as an effective therapy.

  • While further studies and clinical trials are necessary to evaluate safety and efficacy in humans, these findings suggest a promising future for organoselenium-based cancer treatments.

Summary based on 4 sources


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