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Prediction of the response to antiangiogenic sunitinib therapy by non-invasive hybrid diffuse optics in renal cell carcinoma
Barcelona Inst Sci & Technol, Spain; Northeastern Univ, MA 02115 USA.
Northeastern Univ, MA 02115 USA.
Barcelona Inst Sci & Technol, Spain.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Barcelona Inst Sci & Technol, Spain.ORCID iD: 0000-0003-4910-0291
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2024 (English)In: Biomedical Optics Express, E-ISSN 2156-7085, Vol. 15, no 10, p. 5773-5789Article in journal (Refereed) Published
Abstract [en]

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 (SO2, 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 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.

Place, publisher, year, edition, pages
Optica Publishing Group , 2024. Vol. 15, no 10, p. 5773-5789
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-208907DOI: 10.1364/BOE.532052ISI: 001334772100004PubMedID: 39421783OAI: oai:DiVA.org:liu-208907DiVA, id: diva2:1909021
Note

Funding Agencies|Fundacio Ribas Araquistain; H2020 Research Infrastructures (Laserlab-Europe IV); Generalitat de Catalunya [AGAUR-2022-SGR-01457, RIS3CAT-001-P-001682]; The 'la Caixa' Foundation; Ministerio de Ciencia, Innovacion y Universidades [CEX2019-000910-S]; Agencia Estatal de Investigacion (MEDLUX/LUXMED special program) [PID2019-106481RB-C31, PID2023-147553OB-I00, PID2023-151973OB-I00]; FUNDACIO Privada MIR-PUIG; Fundacion Cellex; Agencia de Gestio d'Ajuts Universitaris i de Recerca [2017SGR771]; Instituto de Salud Carlos III [DTS17/00194]; Ministerio de Economia y Competitividad [SAF2016-79347-R]; FP7 Ideas: European Research Council [281830]

Available from: 2024-10-29 Created: 2024-10-29 Last updated: 2024-10-29

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