Active Cancer Cells, Biochemistry & Physiology

Technologies for circulating tumour DNA preparation

In plain English

AI plain-English summary

A single drop of blood contains tumour DNA fragments so scarce that standard lab techniques routinely miss them. Current methods to capture and analyse this circulating tumour DNA (ctDNA) suffer from low yields and poor sensitivity, making it difficult to reliably detect cancer mutations and methylation patterns when they are present at very low abundance. This forces clinicians to rely on invasive surgical biopsies or expensive scans instead. The project aims to develop automated, decentralised tools that physically enrich ctDNA from blood samples before analysis, boosting the signal from the tumour’s genetic material without requiring complex central-lab infrastructure. If successful, the technology could shift cancer diagnostics from hospital-based biopsies to routine blood tests in local clinics. Patients would avoid the pain, cost, and recovery time of surgical tissue sampling, while clinicians would gain a more practical way to monitor how tumours respond to treatment over time. The work is applied and engineering-focused—it tackles a specific bottleneck in sample preparation rather than exploring fundamental biology. The payoff is a simpler, cheaper path to liquid biopsy that could make precision oncology accessible beyond specialist centres.

View original technical description
Circulating tumour DNA (ctDNA) analysis is recognised as a promising technology to diagnose and characterise cancers and to monitor the effect of cancer therapies in human patients, without having to resort to invasive, complex and expensive scans or tissues biopsies. However, a key challenge to using ctDNA in routine clinical testing is that DNA originating from the tumour is present only as a small fraction of the total cell-free circulating DNA in blood (<1%). Current sample preparation techniques and detection methods face challenges, including low yield of nucleic acid and lack of analytical sensitivity, to be robustly and economically deployed to detect mutations and methylation patterns at very low abundance. The goal of this project will be to develop novel approaches for decentralised, and automated, ctDNA enrichment which increases the sensitivity of analysis of ctDNA to improve patient outcomes and reduce invasive and costly surgical biopsies.

View the original record at the funder ↗

Researchers

Alicia Cruz Cervera (Student)

Related Research

Grants with similar aims, by meaning.

MicroSNARE: Automated Enrichment Of Circulating Tumour DNA For Improved Cancer Treatment
Epigenetic enrichment of circulating tumour DNA to enable deep profiling for cancer early detection (EpiEnrich)
Towards personalised cancer care: circulating nucleic acids for early detection and monitoring of breast cancer
Molecular and Computational Diagnostics
Validating a novel method for the isolation and single-cell characterisation of circulating tumour cells in head and neck cancer: a step towards personalised medicine

Original classification

Studentship

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.