Innovative Theranostics Strategies in the Fight Against Lung Cancer

Aashi Jain1, Sakshi Soni1, Vandana Soni1

  • 1Department of Pharmaceutical Sciences, Dr. Harisingh Gour University, Sagar, Madhya Pradesh, 470003, India.

Insights

Nanotechnology offers promising advancements for lung cancer diagnosis and treatment by targeting specific biomarkers. This review explores nanoparticle drug delivery, theranostics, and novel diagnostic tools to improve patient outcomes.

Area of Science:

  • Oncology
  • Nanotechnology
  • Biomedical Engineering

Background:

  • Lung cancer remains a leading cause of cancer-related mortality worldwide.
  • Current diagnostic and therapeutic strategies have limitations in efficacy and specificity.
  • Nanotechnology presents novel opportunities to overcome these challenges.

Purpose of the Study:

  • To review the application of nanotechnology in enhancing lung cancer diagnosis and treatment.
  • To examine nanoparticle-based strategies targeting overexpressed biomarkers in lung tumors.
  • To explore the potential of nanocarriers and theranostic approaches in lung cancer management.

Main Methods:

  • Review of literature on nanotechnology applications in lung cancer.
  • Analysis of passive and active (receptor-based) targeting strategies using nanoparticles.
  • Examination of stimuli-responsive drug delivery systems and various nanocarrier types.

Main Results:

  • Nanoparticles can be engineered for targeted drug delivery to lung tumors via passive and active mechanisms (e.g., EGFR, folic acid, CD44 targeting).
  • Stimuli-responsive systems (pH, temperature, ligand-attached) enhance drug release precision.
  • Nanotechnology enables theranostic applications, combining diagnosis and therapy, with diverse nanocarrier platforms showing promise.

Conclusions:

  • Nanotechnology holds significant potential to revolutionize lung cancer diagnosis and treatment.
  • Targeted nanoparticle delivery, stimuli-responsive systems, and theranostics are key areas for improved patient outcomes.
  • Integration with emerging diagnostic tools like AI and biosensors will further advance lung cancer care.

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