Bioinspired Color and Near-Infrared Endoscopy with Affibody Targeted Markers for Colorectal Cancer Surgery

Abstract

Every year, more than 140,000 people are diagnosed with colorectal cancer (CRC) in the US and about 50,000 succumb to the disease. The Veterans Affairs Central Cancer Registry reports that 3,500 VA patients are diagnosed with CRC and 1,200 will succumb to the disease each year. This abysmal outcome in both civilian and military populations is largely caused by the late diagnosis of CRC, when prognosis is poor. To overcome these health issues, we propose to develop an imaging system capable of simultaneously imaging two affibody peptides labeled with near infrared fluorophores targeting epidermal growth factor receptors, HER1 and HER2 (Aim 2). The proposed technology is broadly applicable to many types of solid tumors, but concerted efforts will be directed toward detection of flat lesions of colitis-associated cancer (CAC and dysplasia. The proposed imaging sensor, based on the evolutionarily honed, highly effective visual system of the mantis shrimp, enables a compact, low-noise, ultra-sensitive device realized by combining vertically stacked photodetectors with pixelated spectral filters (Aim 1). We will optimize two affibody-based molecular agents for simultaneous imaging of different tumor biomarkers and evaluate tumor detection sensitivity and specificity in both small and large animals (Aim 3). We hypothesize that a highly sensitive bioinspired color-fluorescence endoscope, in conjunction with a cocktail of small-sized near-infrared molecular probes for targeted imaging, will detect cancerous and pre-cancerous tissue with high specificity and sensitivity in CRC and CAC patients.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2020
Accession Number
AD1117652

Entities

People

  • Shuming Nie
  • Viktor Gruev

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Biomedical Research
  • Colon Cancer
  • Complementary Metal-Oxide Semiconductors
  • Detection
  • Detectors
  • Growth Factors
  • Health Services
  • Light Sources
  • Materials
  • Materials Science
  • Medical Personnel
  • Optics
  • Semiconductors
  • Statistical Analysis
  • Supervised Machine Learning
  • Visible Spectra

Fields of Study

  • Medicine

Readers

  • Image Processing and Computer Vision.
  • Oncology
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology
  • Biotechnology - Cancer Biotech