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Evaluating differences in optical properties of indolent and aggressive murine breast tumors using quantitative diffuse reflectance spectroscopy.

Joel Rodriguez TroncosoUmme Marium MimJesse D IversSantosh Kumar PaidiMason G HarperKhue G NguyenSruthi RavindranathanLisa RebelloDavid E LeeDavid A ZaharoffIshan BarmanNarasimhan Rajaram
Published in: Biomedical optics express (2023)
We used diffuse reflectance spectroscopy to quantify tissue absorption and scattering-based parameters in similarly sized tumors derived from a panel of four isogenic murine breast cancer cell lines (4T1, 4T07, 168FARN, 67NR) that are each capable of accomplishing different steps of the invasion-metastasis cascade. We found lower tissue scattering, increased hemoglobin concentration, and lower vascular oxygenation in indolent 67NR tumors incapable of metastasis compared with aggressive 4T1 tumors capable of metastasis. Supervised learning statistical approaches were able to accurately differentiate between tumor groups and classify tumors according to their ability to accomplish each step of the invasion-metastasis cascade. We investigated whether the inhibition of metastasis-promoting genes in the highly metastatic 4T1 tumors resulted in measurable optical changes that made these tumors similar to the indolent 67NR tumors. These results demonstrate the potential of diffuse reflectance spectroscopy to noninvasively evaluate tumor biology and discriminate between indolent and aggressive tumors.
Keyphrases
  • high resolution
  • low grade
  • small cell lung cancer
  • machine learning
  • single molecule
  • gene expression
  • risk assessment
  • genome wide
  • dna methylation