Highly sensitive and simultaneous detection of ctDNAs related to non-small cell lung cancer in serum using a catalytic hairpin assembly strategy in a SERS microfluidic chip

Cao, Xiaowei; Mao, Yu; Gu, Yuexing; Ge, Shengjie; Lu, Wenbo; Gu, Yingyan; Li, Zhiyue

doi:10.1039/d2tb01024k

Cited by 14 publications

(8 citation statements)

References 38 publications

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“…The results were also validated and comparable to conventional qRT-PCR assays. 285 These results demonstrate the promise of SERS-based microfluidic chips for rapid, cost-effective, and highly sensitive ctDNA detection, as well as the possibility for deployment toward dynamic cancer staging monitoring and a viable clinical tool for early cancer screening (Figure 5).…”

Section: Circulating Tumor Dnamentioning

confidence: 67%

Advances in novel strategies for isolation, characterization, and analysis of CTCs and ctDNA

Yaghoubi Naei,

Bordhan,

Mirakhorli

et al. 2023

Ther Adv Med Oncol

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Over the past decade, the detection and analysis of liquid biopsy biomarkers such as circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) have advanced significantly. They have received recognition for their clinical usefulness in detecting cancer at an early stage, monitoring disease, and evaluating treatment response. The emergence of liquid biopsy has been a helpful development, as it offers a minimally invasive, rapid, real-time monitoring, and possible alternative to traditional tissue biopsies. In resource-limited settings, the ideal platform for liquid biopsy should not only extract more CTCs or ctDNA from a minimal sample volume but also accurately represent the molecular heterogeneity of the patient’s disease. This review covers novel strategies and advancements in CTC and ctDNA-based liquid biopsy platforms, including microfluidic applications and comprehensive analysis of molecular complexity. We discuss these systems’ operational principles and performance efficiencies, as well as future opportunities and challenges for their implementation in clinical settings. In addition, we emphasize the importance of integrated platforms that incorporate machine learning and artificial intelligence in accurate liquid biopsy detection systems, which can greatly improve cancer management and enable precision diagnostics.

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Section: Circulating Tumor Dnamentioning

confidence: 67%

Advances in novel strategies for isolation, characterization, and analysis of CTCs and ctDNA

Yaghoubi Naei,

Bordhan,

Mirakhorli

et al. 2023

Ther Adv Med Oncol

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“…Two types of biomarkers, miR-21 and miR-196a-5p, were detected simultaneously and with comparable accuracy with the existing qRT-PCR techniques. Similar studies were carried out with a flexible filter paper substrate [ 112 ] and with different biomarkers [ 113 , 114 ]. They extended their studies with ctDNA as the biomarker, thus implying the versatility of SERS [ 115 ].…”

Section: Sers For Disease Diagnosismentioning

confidence: 94%

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

2023

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Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS’s full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience.

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“…Further, the authors confirm that attomolar level sensitivity and accurate quantification are present in mouse serum. Later, the authors proposed another micro fluid-based platform for evaluating expression levels of TP53 or PIK3CA -Q546K in ctDNAs [ 170 ]. TP53 is usually considered to be related to a worse prognosis and resistance to chemotherapy, and PIK3CA -Q546K plays an important role in the pathogenesis of NSCLC.…”

Section: Optical Nanomaterial-based Detection Of Lb Biomarkersmentioning

confidence: 99%

Optical nanomaterial-based detection of biomarkers in liquid biopsy

Kim,

Rho,

Park

et al. 2024

J Hematol Oncol

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Liquid biopsy, which is a minimally invasive procedure as an alternative to tissue biopsy, has been introduced as a new diagnostic/prognostic measure. By screening disease-related markers from the blood or other biofluids, it promises early diagnosis, timely prognostication, and effective treatment of the diseases. However, there will be a long way until its realization due to its conceptual and practical challenges. The biomarkers detected by liquid biopsy, such as circulating tumor cell (CTC) and circulating tumor DNA (ctDNA), are extraordinarily rare and often obscured by an abundance of normal cellular components, necessitating ultra-sensitive and accurate detection methods for the advancement of liquid biopsy techniques. Optical biosensors based on nanomaterials open an important opportunity in liquid biopsy because of their enhanced sensing performance with simple and practical properties. In this review article, we summarized recent innovations in optical nanomaterials to demonstrate the sensitive detection of protein, peptide, ctDNA, miRNA, exosome, and CTCs. Each study prepares the optical nanomaterials with a tailored design to enhance the sensing performance and to meet the requirements of each biomarker. The unique optical characteristics of metallic nanoparticles (NPs), quantum dots, upconversion NPs, silica NPs, polymeric NPs, and carbon nanomaterials are exploited for sensitive detection mechanisms. These recent advances in liquid biopsy using optical nanomaterials give us an opportunity to overcome challenging issues and provide a resource for understanding the unknown characteristics of the biomarkers as well as the mechanism of the disease. Graphical abstract

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Highly sensitive and simultaneous detection of ctDNAs related to non-small cell lung cancer in serum using a catalytic hairpin assembly strategy in a SERS microfluidic chip

Abstract: Circulating tumor DNA (ctDNA) is an ideal biomarker for cancer diagnosis based on liquid biopsy, so there is an urgent need to develop an efficient, rapid, and ultrasensitive detection method...

Cited by 14 publications

References 38 publications

Advances in novel strategies for isolation, characterization, and analysis of CTCs and ctDNA

Advances in novel strategies for isolation, characterization, and analysis of CTCs and ctDNA

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

Optical nanomaterial-based detection of biomarkers in liquid biopsy

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