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  • Pages
  • Editions
01 Welcome
02 Introduction
03 #1 DEP and AI
04 #2 Radiogligand
05 #3 Living Cancer Cell Liquid
06 #4 Solid Tumor
07 #5 AI Driven SaaS
08 #6 Nanoparticles Reprogram
09 #7 Dual Checkpoint
10 #8 Approved HER2
11 #9 Biosimilar
12 #10 Big Data

#1 DEP & AI Enabled Protein Markers for Pancreatic Screening

Oncology Advancements: Top 10 of 2022

DEP detects extracellular vesicles, which contain tumor proteins that are released into circulation by cancer cells as part of an intercellular communication network. Artificial intelligence-enabled protein marker analysis is then used to predict malignancy[1].

Why is this significant?

Traditional liquid biopsy test have a high false-positive rate that often leads to additional expensive diagnostic test. This approach taps into the intercellular communication system of the body and uses an AI intelligent enabled protein market to accurately predict malignancy. It also flagged 74% of stage 1 ovarian and 73% of pathologic stage 1A lethally aggressive ovarian adenocarcinomas (5 X more accurate than the current liquid biopsy test)[1].

What is High-Conductance Dielectrophoresis?

Tumors shed nanoparticles containing cancer biomarkers into circulation. The two types are extracellular vesicles, such as exosomes, that contain protein biomarkers and cell-free DNA (cfDNA) containing cancer related mutations. These particles are a challenge to use in cancer screening because they are difficult to recover from plasma using traditional methods. Alternatively, a DEP chip technology can simultaneously collect both types of particles quickly from undiluted plasma and wash it to purify the desired nanoparticles. This enables quantifiable immunostaining of protein biomarkers on the vesicles and fluorescent dye staining of the cfDNA[2].

High-conductance dielectrophoresis (DEP), a novel screening platform, has flagged more than 95% of stage 1 pancreatic cancers[1].

Sources:

1. New Screening Tool IDs 95 Percent of Stage 1 Pancreatic Cancer
2. Dielectrophoretic Manipulation of Cancer Cells and Their Electrical Characterization