Detection of Cancer‐Associated Mutations Using Primer Exchange Reaction‐Based Signal Amplification and Lateral Flow Assays

The ability to sensitively and specifically detect cancer-associated nucleic acids carrying single-nucleotide mutations is critical for early cancer detection, patient stratification, and personalized treatment, particularly through non-invasive liquid biopsy approaches. Detecting low-abundance nucleic acid fragments-particularly those with single-nucleotide variations-remains a significant challenge for point-of-care (POC) diagnostics. Here, we report a programmable DNA-based self-assembly strategy that leverages primer exchange reaction (PER) for isothermal signal amplification and enables colorimetric detection of cancer-specific DNA and RNA fragments on gold nanoparticle-based lateral flow assays (LFAs). This method uses PER-generated DNA concatemers functionalized with multiple FITC-labeled imager strands to enhance the visual signal on conventional LFA strips. We demonstrate that this approach enables detection of a synthetic <i>P53</i> oncogene fragment with a limit of detection as low as 16 pM, representing a 16-fold improvement over single-dye labeled controls. The system also reliably distinguishes single-nucleotide mutations at 10% relative abundance within a wild-type background. Moreover, we show successful detection of mutant fragments in complex biological fluids such as serum and saliva, as well as of RNA extracted from breast cancer cell lines and RNA derived from circulating tumor DNA (ctDNA) from patient plasma samples. Specifically, we detect clinically relevant <i>PIK3CA</i> E545K/A and <i>P53</i> R280K mutations, consistent with Sanger sequencing results and validating our method for liquid biopsy applications. Overall, this PER-based self-assembly system provides a simple, robust, and sensitive platform for mutation-specific nucleic acid detection using LFAs and offers strong potential for translation into laboratory research applications and POC diagnostics workflows for cancer and other genetic disorders.

Authors

Institutions

Publication Details

Journal
Small Science
Published
2026-02-01
DOI
https://doi.org/10.1002/smsc.202500520
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection of Cancer‐Associated Mutations Using Primer Exchange Reaction‐Based Signal Amplification and Lateral Flow Assays

Curzio Rüegg, Samet Kocabey
Small Science
Advanced biosensing and bioanalysis techniques
article

Detection of Cancer‐Associated Mutations Using Primer Exchange Reaction‐Based Signal Amplification and Lateral Flow Assays

Curzio Rüegg, Samet Kocabey
article en

Abstract

The ability to sensitively and specifically detect cancer-associated nucleic acids carrying single-nucleotide mutations is critical for early cancer detection, patient stratification, and personalized treatment, particularly through non-invasive liquid biopsy approaches. Detecting low-abundance nucleic acid fragments-particularly those with single-nucleotide variations-remains a significant challenge for point-of-care (POC) diagnostics. Here, we report a programmable DNA-based self-assembly strategy that leverages primer exchange reaction (PER) for isothermal signal amplification and enables colorimetric detection of cancer-specific DNA and RNA fragments on gold nanoparticle-based lateral flow assays (LFAs). This method uses PER-generated DNA concatemers functionalized with multiple FITC-labeled imager strands to enhance the visual signal on conventional LFA strips. We demonstrate that this approach enables detection of a synthetic <i>P53</i> oncogene fragment with a limit of detection as low as 16 pM, representing a 16-fold improvement over single-dye labeled controls. The system also reliably distinguishes single-nucleotide mutations at 10% relative abundance within a wild-type background. Moreover, we show successful detection of mutant fragments in complex biological fluids such as serum and saliva, as well as of RNA extracted from breast cancer cell lines and RNA derived from circulating tumor DNA (ctDNA) from patient plasma samples. Specifically, we detect clinically relevant <i>PIK3CA</i> E545K/A and <i>P53</i> R280K mutations, consistent with Sanger sequencing results and validating our method for liquid biopsy applications. Overall, this PER-based self-assembly system provides a simple, robust, and sensitive platform for mutation-specific nucleic acid detection using LFAs and offers strong potential for translation into laboratory research applications and POC diagnostics workflows for cancer and other genetic disorders.

Small ScienceVol. 6(2)
University of Fribourg (CH), Business Innovation Centre (IT)
Openalex Percentile: Top 64%
Advanced biosensing and bioanalysis techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.