Detection of HER2<sup>+</sup> Breast Cancer Cells using Bioinspired DNA‐Based Signal Amplification

Rafiee, Sarah D.; Kocabey, Samet; Mayer, Michael; List, Jonathan; Rüegg, Curzio

doi:10.1002/cmdc.201900697

Cited by 15 publications

(4 citation statements)

References 44 publications

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“…Several signal amplification strategies have been developed to improve the detection of sEVs, − such as the hybridization chain reaction, , catalytic hairpin assembly, − foothold-mediated DNA strand replacement, enzymatic recycling signal amplification, , and so on. Recently, the primer exchange reaction (PER), which is a programmable polymerase-driven signal amplification strategy, has received wide attention due to its simple design, ease of operation, and excellent performance in signal amplification .…”

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confidence: 99%

Polymerase-Driven Logic Signal Amplification for the Detection of Small Extracellular Vesicle Surface Proteins and the Identification of Breast Cancer

Cheng

Luo

et al. 2023

Anal. Chem.

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Small extracellular vesicles (sEVs) derived from tumors contain a vast amount of cellular information and are regarded as a potential diagnostic biomarker for noninvasive cancer diagnosis. Nevertheless, it remains challenging to accurately measure sEVs from clinical samples due to the low abundance of these vesicles as well as their phenotypic heterogeneity. Herein, a polymerase-driven logic signal amplification system (PLSAS) was developed for the high-sensitivity detection of sEV surface proteins and breast cancer (BC) identification. Aptamers were introduced to serve as sensing modules to specifically recognize target proteins. By changing the input DNA sequences, two polymerase-driven primer exchange reaction systems were rationally designed for DNA logic computing. This allows for autonomous targeting of a limited number of targets using "OR" and "AND" logic, leading to a significant increase in fluorescence signals and enabling the specific and ultrasensitive detection of sEV surface proteins. In this work, we investigated surface proteins of mucin 1 (MUC1) and the epithelial cell adhesion molecule (EpCAM) as model proteins. When MUC1 or EpCAM proteins were used as single signal input in the "OR" DNA logic system, the detection limit of sEVs was 24 or 58 particles/μL, respectively. And MUC1 and EpCAM proteins of sEVs can be simultaneously detected in the AND logic method, which can significantly reduce the effect of phenotypic heterogeneity of sEVs to distinguish the source of sEVs derived from various mammary cell lines, such as MCF-7, MDA MB 231, SKBR3, and MCF-10A. The approach has achieved high discrimination in serologically tested positive BC samples (AUC 98.1%) and holds significant potential in advancing the early diagnosis and prognostic assessments of BC.

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confidence: 99%

Polymerase-Driven Logic Signal Amplification for the Detection of Small Extracellular Vesicle Surface Proteins and the Identification of Breast Cancer

Cheng

Luo

et al. 2023

Anal. Chem.

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“…In general, aptamers and ribozymes are two types of nucleic acid recognition elements for non-nucleic acid biomarkers. In this section, we mainly introduce nucleic acid recognition elements for the detection of small molecules, ,,− proteins, ,,− cells, and metal ions ,− based on aptamers and ribozymes (Figure ).…”

Section: Clinical Translation-driven Nucleic Acid-based Testsmentioning

confidence: 99%

Nucleic Acid Tests for Clinical Translation

et al. 2021

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Nucleic acids, including deoxyribonucleic acid (DNA) and ribonucleic acid (RNA), are natural biopolymers composed of nucleotides that store, transmit, and express genetic information. Overexpressed or underexpressed as well as mutated nucleic acids have been implicated in many diseases. Therefore, nucleic acid tests (NATs) are extremely important. Inspired by intracellular DNA replication and RNA transcription, in vitro NATs have been extensively developed to improve the detection specificity, sensitivity, and simplicity. The principles of NATs can be in general classified into three categories: nucleic acid hybridization, thermal-cycle or isothermal amplification, and signal amplification. Driven by pressing needs in clinical diagnosis and prevention of infectious diseases, NATs have evolved to be a rapidly advancing field. During the past ten years, an explosive increase of research interest in both basic research and clinical translation has been witnessed. In this review, we aim to provide comprehensive coverage of the progress to analyze nucleic acids, use nucleic acids as recognition probes, construct detection devices based on nucleic acids, and utilize nucleic acids in clinical diagnosis and other important fields. We also discuss the new frontiers in the field and the challenges to be addressed.

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“…Even so, the sensors developed so far have mostly one or two signal modes and rarely three. Specifically, sensors are used to detect breast cancer-related biomarkers, with their output signals being fluorescence, , colorimetric, electrochemical, photoelectrochemical, microwave, and so on. Undoubtedly, multimode sensors are necessary.…”

Section: Introductionmentioning

confidence: 99%

Cu-MOF/Aptamer/Magnetic Bead Sensor for Detection of Breast Cancer Biomarkers HER2 and ER

Liu,

Zhang,

et al. 2024

ACS Appl. Nano Mater.

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Cancer markers are used for early cancer detection and follow-up monitoring so that patients receive the most appropriate treatment to alleviate suffering and prolong life. Herein, a metal− organic framework (MOF) combined with magnetic beads (MB) is proposed as a nanosensor for detecting breast cancer biomarkers based on magnetic enrichment and separation. With the porous structure of Cu-MOF, a large number of aptamers are adsorbed inside the pore to specifically capture the antigen. Then, Cu-MOF@antigen is enriched and separated by MB modified with the corresponding antibody. Supernatant Cu-MOF and Cu-MOF@antigen@MB are used as colorimetric, fluorescent, and electrochemical sensing elements for the quantitative detection of HER2 and ER. The detection ranges for HER2 and ER are 4.5 fg/mL−20 ng/mL and 10 fg/mL−20 ng/mL, respectively. It also demonstrated good performance in the detection of human serum samples, with recoveries ranging from 89.00 to 107.57%. This nanosensor has promising selectivity, stability, and practical applicability, providing the possibility for its in-depth development.

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Detection of HER2⁺ Breast Cancer Cells using Bioinspired DNA‐Based Signal Amplification

Cited by 15 publications

References 44 publications

Polymerase-Driven Logic Signal Amplification for the Detection of Small Extracellular Vesicle Surface Proteins and the Identification of Breast Cancer

Polymerase-Driven Logic Signal Amplification for the Detection of Small Extracellular Vesicle Surface Proteins and the Identification of Breast Cancer

Nucleic Acid Tests for Clinical Translation

Cu-MOF/Aptamer/Magnetic Bead Sensor for Detection of Breast Cancer Biomarkers HER2 and ER

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Detection of HER2+ Breast Cancer Cells using Bioinspired DNA‐Based Signal Amplification

Cited by 15 publications

References 44 publications

Polymerase-Driven Logic Signal Amplification for the Detection of Small Extracellular Vesicle Surface Proteins and the Identification of Breast Cancer

Polymerase-Driven Logic Signal Amplification for the Detection of Small Extracellular Vesicle Surface Proteins and the Identification of Breast Cancer

Nucleic Acid Tests for Clinical Translation

Cu-MOF/Aptamer/Magnetic Bead Sensor for Detection of Breast Cancer Biomarkers HER2 and ER

Contact Info

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Detection of HER2⁺ Breast Cancer Cells using Bioinspired DNA‐Based Signal Amplification