Skip to main content
Discover Hidden USA
  • News
  • Health
  • Technology
  • Business
  • Entertainment
  • Sports
  • World
Menu
  • News
  • Health
  • Technology
  • Business
  • Entertainment
  • Sports
  • World
Partnership with Oxford Nanopore Technologies will support development of RNA liquid biopsy for cancer early detection

Partnership with Oxford Nanopore Technologies will support development of RNA liquid biopsy for cancer early detection

June 25, 2026 discoverhiddenusacom Health

Daniel Kim, an assistant professor at the University of California, Santa Cruz, is developing an RNA liquid biopsy to detect esophageal cancer and precancerous cells via blood draws. In partnership with Oxford Nanopore Technologies, the technology uses nanopore sequencing and machine learning to identify biomarkers, aiming to improve a 22.2% five-year relative survival rate.

The research focuses on identifying cellular warning signs before patients exhibit symptoms. According to a preprint study involving Kim, Karen Miga of UC Santa Cruz, and Rebecca Fitzgerald of the University of Cambridge, the technology can detect early esophageal cancer and Barrett’s esophagus, a precancerous condition.

How does the RNA liquid biopsy detect cancer?

The technology analyzes non-coding RNA, which is genetic material that does not build proteins. This material floats in the bloodstream within extracellular vesicles and serves as a cellular messenger, according to Kim.

How does the RNA liquid biopsy detect cancer?

Kim’s team used nanopore sequencing to characterize these cell-free RNAs, discovering thousands of previously unknown cancer biomarkers. They then trained a machine learning model using these features to detect both early-stage cancer and precancerous cells.

Did You Know? UC Santa Cruz professors emeriti David Deamer and Mark Akeson co-invented nanopore sequencing, proving that DNA and RNA could be read by threading genetic material through a nanometer-sized hole charged with an ionic current.

Why is the Oxford Nanopore partnership significant?

The collaboration with Oxford Nanopore Technologies provides the sequencing tools necessary for the direct analysis of full-length cell-free RNA. This capability allows researchers to identify dysregulated pathways in both cancer and precancerous patients, Kim stated.

RNA Liquid Biopsy for Precision Health – Daniel Kim

The Baskin School of Engineering’s Sequencing Technology Center supports this work on campus. This infrastructure builds on foundational work by Deamer and Akeson, which was later licensed and contributed to the current Oxford Nanopore technology.

Expert Insight: Samantha Carter notes that the shift toward detecting “precancerous” conditions represents a critical move toward cancer interception. By identifying molecular irregularities before they become malignant, clinicians may be able to move from treating advanced disease to preventing its onset entirely.

What happens next for this cancer screening tool?

Kim and his research group intend to expand their work by assessing the RNA liquid biopsy on a larger patient group. This step may help advance the platform as a blood-based screening tool for individuals at a heightened risk of developing cancer.

What happens next for this cancer screening tool?

The team is also seeking strategic partnerships with global pharmaceutical companies. Such collaborations could lead to the discovery of novel drug targets to prevent the progression from precancerous conditions to cancer, according to Kim.

In August, UC Santa Cruz will host the RNA Futures Meeting, an international conference for leaders in biotechnology and nanopore sequencing.

Frequently Asked Questions

What is the current five-year survival rate for esophageal cancer?
The five-year relative survival rate is 22.2%.

What is Barrett’s esophagus?
It is a precancerous condition that Kim’s nanopore-based RNA liquid biopsy technology can detect.

What makes this liquid biopsy approach unique?
It looks for evidence of cancer and precancer in non-coding RNA found in extracellular vesicles in the bloodstream, rather than protein-building genetic material.

How do you feel about the use of machine learning in early cancer detection?

BE-genomics, BE-healthwellbeing, Genomics Institute

Recent Posts

  • World Cup Favorites: Argentina and Messi Lead Betting Predictions
  • Syria and France Discuss Strengthening Financial Cooperation
  • Samtec Names Mouser Electronics 2025 Global High Service Distributor of the Year
  • Rhineland-Palatinate Plans Mandatory Preschool Year to Tackle Learning Gaps
  • Deschutes Onsite Clinic (DOC) Services

Recent Comments

No comments to show.
Discover Hidden USA

Discover Hidden USA helps people discover hidden gems, local businesses, and services across the United States.

Quick Links

  • Privacy Policy
  • About Us
  • Contact
  • Cookie Policy
  • Disclaimer
  • Terms and Conditions

Browse by State

  • Alabama
  • Alaska
  • Arizona
  • Arkansas
  • California
  • Colorado

Connect With Us

© 2026 Discover Hidden USA. All rights reserved.

Privacy Policy Terms of Service