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

**Authors:** Samet Kocabey, Curzio Rüegg

PMC · DOI: 10.1002/smsc.202500520 · Small Science · 2026-02-06

## TL;DR

A new method detects cancer mutations in DNA and RNA using a colorimetric test that is sensitive and works with small samples, making it useful for early cancer detection.

## Contribution

A programmable DNA-based self-assembly strategy using primer exchange reaction (PER) for sensitive mutation detection on lateral flow assays.

## Key findings

- The method detects P53 oncogene fragments with a limit of detection as low as 16 pM.
- It distinguishes single-nucleotide mutations at 10% abundance in a wild-type background.
- Successfully detects PIK3CA E545K/A and P53 R280K mutations in RNA from breast cancer cells and patient plasma.

## 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 P53 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 PIK3CA E545K/A and P53 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.

This article presents the detection of cancer‐specific mutations using primer exchange reaction‐based signal amplification on lateral flow assays. This approach enables sensitive detection of clinically relevant mutations, including PIK3CA E545K/A and TP53 R280K, from RNA isolated from breast cancer cell lines and from RNA derived from circulating tumor DNA (ctDNA) in patient plasma samples.© 2026 WILEY‐VCH GmbH

## Linked entities

- **Genes:** TP53 (tumor protein p53) [NCBI Gene 7157], PIK3CA (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha) [NCBI Gene 5290], TP53 (tumor protein p53) [NCBI Gene 7157]
- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Genes:** TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, PIK3CA (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha) [NCBI Gene 5290] {aka CCM4, CLAPO, CLOVE, CWS5, HMH, MCAP}
- **Diseases:** breast cancer (MESH:D001943), genetic disorders (MESH:D030342), Cancer (MESH:D009369)
- **Chemicals:** FITC (MESH:D016650), gold (MESH:D006046)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** E545K/A, R280K

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12884750/full.md

## References

34 references — full list in the complete paper: https://tomesphere.com/paper/PMC12884750/full.md

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Source: https://tomesphere.com/paper/PMC12884750