Ultrasensitive Detection of Circular RNA via Rolling Circle Amplification-Coupled Surface-Enhanced Raman Scattering for Early Breast Cancer Diagnosis

@bio-DNA@SERS tag substrate with reverse transcription-rolling circle amplification (RT-RCA) and duplex-specific nuclease (DSN)-driven signal amplification, enabling attomolar-level quantification of hsa_circ_0067842 in serum. This assay achieved detection limits of 75.86 aM in buffer and 1.23 aM in serum, while maintaining exceptional selectivity against homologous linear RNAs. Clinical evaluation demonstrated that the SERS detection system (SERSDS) accurately discriminated breast cancer patients from healthy controls, yielding an AUC of 0.978, a sensitivity of 98%, and a specificity of 96%. Furthermore, dual-target analysis combining hsa_circ_0067842 with hsa_circ_0000512 significantly improved differentiation between benign and malignant breast nodules (AUC = 0.992), outperforming conventional tumor biomarkers. Collectively, this SERS-based sensor exhibited outstanding sensitivity, reproducibility, and operational stability, offering a promising avenue for early, accurate, and minimally invasive diagnosis and molecular classification of breast cancer.

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Publication Details

Journal
Analytical Chemistry
Published
2026-05-11
DOI
https://doi.org/10.1021/acs.analchem.6c01193
Primary Topic
Circular RNAs in diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Ultrasensitive Detection of Circular RNA via Rolling Circle Amplification-Coupled Surface-Enhanced Raman Scattering for Early Breast Cancer Diagnosis

Dongrui Luan, Yanru Li, Y J Zhao, J S Li et al.
Analytical Chemistry
Circular RNAs in diseases
article

Ultrasensitive Detection of Circular RNA via Rolling Circle Amplification-Coupled Surface-Enhanced Raman Scattering for Early Breast Cancer Diagnosis

Dongrui Luan, Yanru Li, Y J Zhao, J S Li, L T Du, P L Li, S Z Liu, Dun Niu, Yao Tong, Chuanxin Wang, Tiantian Wang, Xiangjun Dong
article en

Abstract

@bio-DNA@SERS tag substrate with reverse transcription-rolling circle amplification (RT-RCA) and duplex-specific nuclease (DSN)-driven signal amplification, enabling attomolar-level quantification of hsa_circ_0067842 in serum. This assay achieved detection limits of 75.86 aM in buffer and 1.23 aM in serum, while maintaining exceptional selectivity against homologous linear RNAs. Clinical evaluation demonstrated that the SERS detection system (SERSDS) accurately discriminated breast cancer patients from healthy controls, yielding an AUC of 0.978, a sensitivity of 98%, and a specificity of 96%. Furthermore, dual-target analysis combining hsa_circ_0067842 with hsa_circ_0000512 significantly improved differentiation between benign and malignant breast nodules (AUC = 0.992), outperforming conventional tumor biomarkers. Collectively, this SERS-based sensor exhibited outstanding sensitivity, reproducibility, and operational stability, offering a promising avenue for early, accurate, and minimally invasive diagnosis and molecular classification of breast cancer.

Analytical Chemistry
People’s Hospital of Rizhao (CN), Second Hospital of Shandong University (CN), Qilu Hospital of Shandong University (CN), Ministry of Education and Child Care (CA)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Taishan Scholar Foundation of Shandong Province, Key Technology Research and Development Program of Shandong
Reduced inequalities
Openalex Percentile: Top 9%
Circular RNAs in diseases
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