Prediction of the response to antiangiogenic sunitinib therapy by non-invasive hybrid diffuse optics in renal cell carcinoma

In this work, broadband diffuse reflectance spectroscopy (DRS) and diffuse correlation spectroscopy (DCS) were used to quantify deep tissue hemodynamics in a patient-derived orthotopic xenograft mouse model of clear cell renal cancer undergoing antiangiogenic treatment. A cohort of twenty-two mice were treated with sunitinib and compared to thirteen control untreated mice, and monitored by DRS/DCS. A reduction in total hemoglobin concentration (THC, p = 0.03), oxygen saturation (SO<sub>2,</sub> p = 0.03) and blood flow index (BFI, p = 0.02) was observed over the treatment course. Early changes in tumor microvascular blood flow and total hemoglobin concentration were correlated with the final microvessel density (p = 0.014) and tumor weight (p = 0.024), respectively. Higher pre-treatment tumor microvascular blood flow was observed in non-responder mice with respect to responder mice, which was statistically predictive of the tumor intrinsic resistance (p = 0.01). This hybrid diffuse optical technique provides a method for predicting tumor intrinsic resistance to antiangiogenic therapy and could be used as predictive biomarker of response to antiangiogenic therapies in pre-clinical models.

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Publication Details

Journal
Biomedical Optics Express
Published
2024-08-26
DOI
https://doi.org/10.1364/boe.532052
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction of the response to antiangiogenic sunitinib therapy by non-invasive hybrid diffuse optics in renal cell carcinoma

David R. Busch, Turgut Durduran, Oriol Casanovas, Ernesto E. Vidal-Rosas et al.
1 links
Biomedical Optics Express
MRI in cancer diagnosis
article

Prediction of the response to antiangiogenic sunitinib therapy by non-invasive hybrid diffuse optics in renal cell carcinoma

David R. Busch, Turgut Durduran, Oriol Casanovas, Ernesto E. Vidal-Rosas, Jordi Morales-Dalmau, Clara Vilches, Gabriela Jiménez-Valerio, Johannes Johansson, Miguel Mireles, Valentí Navarro-Pérez, Mar Martínez-Lozano
article en

Abstract

In this work, broadband diffuse reflectance spectroscopy (DRS) and diffuse correlation spectroscopy (DCS) were used to quantify deep tissue hemodynamics in a patient-derived orthotopic xenograft mouse model of clear cell renal cancer undergoing antiangiogenic treatment. A cohort of twenty-two mice were treated with sunitinib and compared to thirteen control untreated mice, and monitored by DRS/DCS. A reduction in total hemoglobin concentration (THC, p = 0.03), oxygen saturation (SO<sub>2,</sub> p = 0.03) and blood flow index (BFI, p = 0.02) was observed over the treatment course. Early changes in tumor microvascular blood flow and total hemoglobin concentration were correlated with the final microvessel density (p = 0.014) and tumor weight (p = 0.024), respectively. Higher pre-treatment tumor microvascular blood flow was observed in non-responder mice with respect to responder mice, which was statistically predictive of the tumor intrinsic resistance (p = 0.01). This hybrid diffuse optical technique provides a method for predicting tumor intrinsic resistance to antiangiogenic therapy and could be used as predictive biomarker of response to antiangiogenic therapies in pre-clinical models.

Biomedical Optics ExpressVol. 15(10)
Linköping University (SE), Institució Catalana de Recerca i Estudis Avançats (ES), Northeastern University (US), Institute of Photonic Sciences (ES), Institut d'Investigació Biomédica de Bellvitge (ES), Institut Català d'Oncologia (ES), University of Southampton (GB), Southwestern Medical Center (US), The University of Texas Southwestern Medical Center (US), Universidad del Noreste (MX)
Fundación Cellex, “la Caixa” Foundation, Ministerio de Ciencia, Innovación y Universidades, Centres de Recerca de Catalunya, Laserlab-Europe, Generalitat de Catalunya, Consejo Nacional de Ciencia y Tecnología, Ministerio de Economía y Competitividad, FUNDACIÓ Privada MIR-PUIG, Horizon 2020 Framework Programme, Agència de Gestió d'Ajuts Universitaris i de Recerca, Instituto de Salud Carlos III, Agencia Estatal de Investigación, H2020 Research Infrastructures, FP7 Ideas: European Research Council
Zero hunger
Openalex Percentile: Top 77%
MRI in cancer diagnosis
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