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Label-Free Raman Spectroscopy Reveals Signatures of Radiation Resistance in the Tumor Microenvironment.

Abstract
Delay in the assessment of tumor response to radiotherapy continues to pose a major challenge to quality of life for patients with nonresponsive tumors. Here, we exploited label-free Raman spectroscopic mapping to elucidate radiation-induced biomolecular changes in tumors and uncovered latent microenvironmental differences between treatment-resistant and -sensitive tumors. We used isogenic radiation-resistant and -sensitive A549 human lung cancer cells and human head and neck squamous cell carcinoma (HNSCC) cell lines (UM-SCC-47 and UM-SCC-22B, respectively) to grow tumor xenografts in athymic nude mice and demonstrated the molecular specificity and quantitative nature of Raman spectroscopic tissue assessments. Raman spectra obtained from untreated and treated tumors were subjected to chemometric analysis using multivariate curve resolution-alternating least squares (MCR-ALS) and support vector machine (SVM) to quantify biomolecular differences in the tumor microenvironment. The Raman measurements revealed significant and reliable differences in lipid and collagen content postradiation in the tumor microenvironment, with consistently greater changes observed in the radiation-sensitive tumors. In addition to accurately evaluating tumor response to therapy, the combination of Raman spectral markers potentially offers a route to predicting response in untreated tumors prior to commencing treatment. Combined with its noninvasive nature, our findings provide a rationale for in vivo studies using Raman spectroscopy, with the ultimate goal of clinical translation for patient stratification and guiding adaptation of radiotherapy during the course of treatment. SIGNIFICANCE: These findings highlight the sensitivity of label-free Raman spectroscopy to changes induced by radiotherapy and indicate the potential to predict radiation resistance prior to commencing therapy.
AuthorsSantosh K Paidi, Paola Monterroso Diaz, Sina Dadgar, Samir V Jenkins, Charles M Quick, Robert J Griffin, Ruud P M Dings, Narasimhan Rajaram, Ishan Barman
JournalCancer research (Cancer Res) Vol. 79 Issue 8 Pg. 2054-2064 (04 15 2019) ISSN: 1538-7445 [Electronic] United States
PMID30819665 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
Copyright©2019 American Association for Cancer Research.
Topics
  • Animals
  • Carcinoma, Squamous Cell (pathology, radiotherapy)
  • Head and Neck Neoplasms (pathology, radiotherapy)
  • Humans
  • Lung Neoplasms (pathology, radiotherapy)
  • Mice
  • Mice, Nude
  • Radiation Tolerance
  • Spectrum Analysis, Raman (methods)
  • Tumor Cells, Cultured
  • Tumor Microenvironment (radiation effects)
  • Xenograft Model Antitumor Assays

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