Investigating In Vivo Tumor Biomolecular Changes Following Radiation Therapy Using Raman Spectroscopy

Varsha Karunakaran1, Sina Dadgar1, Santosh K Paidi2

  • 1Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas 72701, United States.

ACS Omega
|October 28, 2024
PubMed

Insights

Raman spectroscopy detected early biomolecular changes in head and neck tumors responding differently to radiation therapy. This technique shows promise for identifying treatment resistance and guiding therapy choices.

Area of Science:

  • Biomedical Optics
  • Cancer Research
  • Spectroscopy

Background:

  • Treatment resistance is a significant challenge in cancer therapy.
  • Early identification of treatment response is crucial for optimizing patient outcomes.
  • Raman spectroscopy offers a non-invasive method to probe tumor biomolecular composition.

Purpose of the Study:

  • To apply fiber-based Raman spectroscopy for monitoring early tumor biomolecular changes in response to radiation therapy.
  • To differentiate between radiation-sensitive and radiation-resistant head and neck tumor xenografts.
  • To investigate the potential of Raman spectroscopy in predicting treatment response.

Main Methods:

  • Utilized in vivo and ex vivo Raman spectroscopy on head and neck tumor xenografts (UM-SCC-22B and UM-SCC-47).
  • Employed multivariate curve resolution-alternating least-squares (MCR-ALS) to analyze complex Raman spectra.
  • Monitored changes in lipid-like and collagen-like species following radiation therapy.

Main Results:

  • Observed a significant increase in lipid-like species in radiation-sensitive tumors (UM-SCC-22B) 48 hours post-radiation.
  • Detected an increase in collagen-like species in radiation-resistant tumors (UM-SCC-47) 24 hours post-radiation.
  • Showed consistent trends between in vivo and ex vivo measurements, though longitudinal data showed variability.

Conclusions:

  • Fiber-based Raman spectroscopy can detect early, radiation-induced biomolecular changes in tumors.
  • This technique has potential for identifying treatment response or resistance in head and neck cancers.
  • Early detection via Raman spectroscopy could facilitate timely adjustments to cancer treatment strategies.