Open Access
6 March 2020 Diffuse reflectance spectroscopy to monitor murine colorectal tumor progression and therapeutic response
Ariel I. Mundo, Gage J. Greening, Michael J. Fahr, Lawrence N. Hale, Elizabeth A. Bullard, Narasimhan Rajaram, Timothy J. Muldoon
Author Affiliations +
Abstract

Significance: Many studies in colorectal cancer (CRC) use murine ectopic tumor models to determine response to treatment. However, these models do not replicate the tumor microenvironment of CRC. Physiological information of treatment response derived via diffuse reflectance spectroscopy (DRS) from murine primary CRC tumors provide a better understanding for the development of new drugs and dosing strategies in CRC.

Aim: Tumor response to chemotherapy in a primary CRC model was quantified via DRS to extract total hemoglobin content (tHb), oxygen saturation (StO2), oxyhemoglobin, and deoxyhemoglobin in tissue.

Approach: A multimodal DRS and imaging probe (0.78 mm outside diameter) was designed and validated to acquire diffuse spectra longitudinally—via endoscopic guidance—in developing colon tumors under 5-fluoruracil (5-FU) maximum-tolerated (MTD) and metronomic regimens. A filtering algorithm was developed to compensate for positional uncertainty in DRS measurements

Results: A maximum increase in StO2 was observed in both MTD and metronomic chemotherapy-treated murine primary CRC tumors at week 4 of neoadjuvant chemotherapy, with 21  ±  6  %   and 17  ±  6  %   fold changes, respectively. No significant changes were observed in tHb.

Conclusion: Our study demonstrates the feasibility of DRS to quantify response to treatment in primary CRC models.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Ariel I. Mundo, Gage J. Greening, Michael J. Fahr, Lawrence N. Hale, Elizabeth A. Bullard, Narasimhan Rajaram, and Timothy J. Muldoon "Diffuse reflectance spectroscopy to monitor murine colorectal tumor progression and therapeutic response," Journal of Biomedical Optics 25(3), 035002 (6 March 2020). https://doi.org/10.1117/1.JBO.25.3.035002
Received: 10 January 2020; Accepted: 17 February 2020; Published: 6 March 2020
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Tumors

Data modeling

Diffuse reflectance spectroscopy

Reflectivity

Error control coding

In vivo imaging

Tissues


CHORUS Article. This article was made freely available starting 06 March 2021

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