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Related Concept Videos

Tumor Immunotherapy01:27

Tumor Immunotherapy

467
Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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Targeted Cancer Therapies02:57

Targeted Cancer Therapies

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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
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Related Experiment Video

Updated: May 31, 2025

Predictive Immune Modeling of Solid Tumors
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Advancing precision cancer immunotherapy drug development, administration, and response prediction with AI-enabled

Jay Chadokiya1, Kai Chang2, Saurabh Sharma1

  • 1Department of Surgery, Stanford School of Medicine, Stanford University Medical Center, Stanford, CA, United States.

Frontiers in Immunology
|January 24, 2025
PubMed
Summary

Label-free Raman spectroscopy offers a novel "Raman-omics" approach for precise tumor profiling. This method enhances immunotherapy by analyzing the tumor microenvironment for better treatment outcomes.

Keywords:
Raman spectroscopyimmunotherapylabel-free analysismultiomicstime analysis

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Area of Science:

  • Oncology
  • Biomolecular Spectroscopy
  • Immunotherapy

Background:

  • Tumor molecular characterization is crucial for precision immunotherapy, but current biomarkers face challenges like heterogeneity and reliance on single-omics data.
  • Standard therapies often fail due to a "one size fits all" approach, leading to limited efficacy, toxicity, and resistance.
  • Emerging multi- and spatial-omics platforms require robust, high-throughput, precise, and accessible tumor assessment tools for clinical utility.

Purpose of the Study:

  • To explore label-free Raman spectroscopy as a tumor profiling tool for advancing precision immunotherapy.
  • To examine how Raman spectroscopy can elucidate complex interactions within the tumor-immune microenvironment.
  • To highlight the translational potential of Raman spectroscopy for clinical integration.

Main Methods:

  • Application of label-free Raman spectroscopy for tumor profiling.
  • Analysis of inter- and intra-cellular interactions within the tumor-immune microenvironment.
  • Discussion of analytical advances enabling a "Raman-omics" approach.

Main Results:

  • Raman spectroscopy provides non-invasive, label-free insights into tumor biology.
  • The "Raman-omics" approach offers a comprehensive, single-platform analysis.
  • Demonstrated potential for high-throughput screening and subcellular precision.

Conclusions:

  • Label-free Raman spectroscopy is a promising tool for molecular tumor characterization.
  • This technique can significantly improve the development and administration of precision immunotherapy.
  • Raman spectroscopy holds translational potential for point-of-care clinical applications.