grant

Chip-Scale Intraoperative Optical Navigation with Immunotargeted Upconverting Nanoparticles

Organization UNIVERSITY OF CALIFORNIA, SAN FRANCISCOLocation SAN FRANCISCO, UNITED STATESPosted 15 Jun 2023Deadline 31 May 2027
NIHUS FederalResearch GrantFY20252-photon7S Gamma GlobulinAbscissionAddressAffinityAlloysAnimal ModelAnimal Models and Related StudiesAntibodiesAntibody SpecificityAssayBindingBioassayBiological AssayBody TissuesBreast CancerBreast Cancer ModelBreast tumor modelCancer DetectionCancersCell Culture TechniquesClinicalCoupledDepositDepositionDetectable Residual DiseaseDetectionDevelopmentDiffuseDiseaseDisorderEngineeringExcisionExtirpationG-substrateGoalsIgGImageImage-Guided SurgeryImaging technologyImmunoglobulin GIndividualLabelLanthanidesLanthanoid Series ElementsLanthanoidsLaser ElectromagneticLaser RadiationLasersLeannessLeftLymph Node InvolvementLymph Node Reticuloendothelial SystemLymph node properLymphatic nodesMalignant Breast NeoplasmMalignant CellMalignant NeoplasmsMalignant TumorMalignant neoplasm of prostateMalignant prostatic tumorMiceMice MammalsMicroscopeMicroscopicMinimal Residual DiseaseModelingModernizationMolecular InteractionMurineMusNanotechnologyNatureOperative ProceduresOperative Surgical ProceduresOpticsOutcomePatientsPhotonsProstate CAProstate CancerProstate malignancyProtein EngineeringProteinsRecombinantsRemovalResectableResidual CancersResidual NeoplasmResidual TumorsSensitivity and SpecificitySi elementSiliconSpeedSurfaceSurgicalSurgical InstrumentsSurgical InterventionsSurgical ModelsSurgical ProcedureSurgical RemovalSurgical marginsTechnologyTestingThinnessTimeTissue SampleTissue StainsTissue imagingTissuesToxic effectToxicitiesTumor CellVisible LightVisible Light RadiationVisible RadiationVisualizationXenograft Modelabsorptionantibody engineeringbiocompatibilitybiomaterial compatibilitycancer carecancer cellcancer imagingcancer riskcancer sub-typescancer subtypescancer surgerycell culturecell culturescerebellum protein substrate for cGMP dependent protein kinasecrosslinkdesigndesigningdetectordevelopmentaldiagnostic platformdiagnostic systemfluorophoregenetic protein engineeringimage-based methodimagerimagingimaging methodimaging modalityimprovedimproved outcomeinstrumentinstrumentationintegrated circuitintegrated circuitsintra-operative imagingintraoperative imaginglight emissionlymph glandlymph nodeslymphnodesmalignancymalignant breast tumormammary cancer modelmammary tumor modelmetermicroscope imagingmicroscopic imagingmicroscopy imagingmodel of animalmolecular imagingmolecule imagingnanonano particlenano technano technologynano-sized particlenano-technologicalnanocrystalnanoparticlenanosized particlenanotechnanotechnologicalneoplasm/cancerneoplastic cellnew technologynovelnovel technologiesoncologic imagingoncology imagingoptic imagingopticaloptical imagingpre-clinicalpreclinicalprotein Gprotein designresectionresidual diseasesensorsurgerysurgical imagingtheranosticstooltumortumor imagingtwo-photonxenograft transplant modelxenotransplant model
Sign up free to applyApply link · pipeline · email alerts
— or —

Get email alerts for similar roles

Weekly digest · no password needed · unsubscribe any time

Full Description

Project Summary/Abstract
Residual cancer cells left behind following surgery increase the chance of cancer returning

in almost every cancer subtype. The current inability to identify these tumor cells during surgery

hinders cancer care across the spectrum, including breast and prostate cancers, as 20-40% of

these patients suffer from positive margins, which doubles the risk of cancer returning.

This proposal solves this problem through an original approach for ultrasensitive optical

imaging of cancer cells in live tissue and during surgery. Current intraoperative imaging methods

are unable to achieve high sensitivity both on the tissue surface and at depth due to inherent

physical limits of both current optical probes and their requisite imagers. They are also too bulky

to be integrated onto modern surgical tools, which could guide precision surgery with far greater

accuracy than achievable today. Here, we address these dual challenges by introducing a wholly

new imaging strategy integrating nanotechnology, protein engineering, and advanced imager

design with the goal of real-time highly sensitive intraoperative imaging of cancer cells, both on

the surface and at depth. We propose major advances in nanotechnology to redesign

upconverting nanoparticles as optical probes that can be safely imaged in tissue, protein

engineering to produce antibodies that selectively target the probes to tumor, and detector

engineering to build an ultrathin imaging chip, directly integrated into surgical instrumentation.

The combination of these novel technologies transforms instruments themselves into imagers to

dramatically increase the sensitivity in identifying cancer cells, with the ultimate goal of being able

to identify, in real time, all residual disease.

Grant Number: 5R01CA278672-03
NIH Institute/Center: NIH

Principal Investigator: Mekhail Anwar

Sign up free to get the apply link, save to pipeline, and set email alerts.

Sign up free →

Agency Plan

7-day free trial

Unlock procurement & grants

Upgrade to access active tenders from World Bank, UNDP, ADB and more — with email alerts and pipeline tracking.

$29.99 / month

  • 🔔Email alerts for new matching tenders
  • 🗂️Track tenders in your pipeline
  • 💰Filter by contract value
  • 📥Export results to CSV
  • 📌Save searches with one click
Start 7-day free trial →
Chip-Scale Intraoperative Optical Navigation with Immunotargeted Upconverting Nanoparticles — UNIVERSITY OF CALIFORNIA, | Dev Procure