Methods for detecting host genetic modifiers of tumor vascular function using dynamic near-infrared fluorescence imaging

Jaidip Jagtap, Gayatri Sharma, Abdul K. Parchur, Venkateswara Gogineni, Carmen Bergom, Sarah White, Michael J. Flister, Amit Joshi

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Vascular supply is a critical component of the tumor microenvironment (TME) and is essential for tumor growth and metastasis, yet the endogenous genetic modifiers that impact vascular function in the TME are largely unknown. To identify the host TME modifiers of tumor vascular function, we combined a novel genetic mapping strategy [Consomic Xenograft Model] with near-infrared (NIR) fluorescence imaging and multiparametric analysis of pharmacokinetic modeling. To detect vascular flow, an intensified cooled camera based dynamic NIR imaging system with 785 nm laser diode based excitation was used to image the whole-body fluorescence emission of intravenously injected indocyanine green dye. Principal component analysis was used to extract the spatial segmentation information for the lungs, liver, and tumor regions-of-interest. Vascular function was then quantified by pK modeling of the imaging data, which revealed significantly altered tissue perfusion and vascular permeability that were caused by host genetic modifiers in the TME. Collectively, these data demonstrate that NIR fluorescent imaging can be used as a non-invasive means for characterizing host TME modifiers of vascular function that have been linked with tumor risk, progression, and response to therapy.

Original languageEnglish
Article number#307315
Pages (from-to)543-556
Number of pages14
JournalBiomedical Optics Express
Volume9
Issue number2
DOIs
StatePublished - Feb 1 2018

Fingerprint

Dive into the research topics of 'Methods for detecting host genetic modifiers of tumor vascular function using dynamic near-infrared fluorescence imaging'. Together they form a unique fingerprint.

Cite this