Evidence map›Paper›PMID 41388295›Full record

ArticleJournal of nanobiotechnology2025

AND logic-gated CRISPR/Cas9 and hybridization chain reaction system for precise ctDNA detection.

Tianliang Ji, Yujia Zhang, Yixiu Wang, Kaiyu Yuan, Mingxiang Wang, Jingyi Ye, Honglu Zhang, Ning Zhang, Huan Zhang

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Tianliang Ji *School of Automation and Intelligent Sensing, School of Agriculture and Biology, State Key Laboratory of Synergistic Chem-Bio Synthesis, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yujia Zhang *School of Automation and Intelligent Sensing, School of Agriculture and Biology, State Key Laboratory of Synergistic Chem-Bio Synthesis, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yixiu Wang *Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Kaiyu Yuan *School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, 511442, China.
Mingxiang WangSchool of Automation and Intelligent Sensing, School of Agriculture and Biology, State Key Laboratory of Synergistic Chem-Bio Synthesis, Shanghai Jiao Tong University, Shanghai, 200240, China.
Jingyi YeSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, 511442, China.
Honglu ZhangSchool of Automation and Intelligent Sensing, School of Agriculture and Biology, State Key Laboratory of Synergistic Chem-Bio Synthesis, Shanghai Jiao Tong University, Shanghai, 200240, China. z.hl@sjtu.edu.cn.
Ning ZhangDepartment of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. zning818@163.com.
Huan ZhangSchool of Automation and Intelligent Sensing, School of Agriculture and Biology, State Key Laboratory of Synergistic Chem-Bio Synthesis, Shanghai Jiao Tong University, Shanghai, 200240, China. zhang_huan@sjtu.edu.cn.

Funding

National Key Research and Development Program of China 2022YFB3808200
6 · The paper itself

Abstract

Circulating tumor DNA (ctDNA) is a critical biomarker for liquid biopsies, enabling the non-invasive acquisition of cancer-related information from blood samples. Precise detection of ctDNA, particularly the identification of single-nucleotide variations (SNVs), is crucial for early cancer diagnosis, therapeutic monitoring, and prognostic evaluation. However, current ctDNA detection methods often encounter challenges such as complex procedures, difficult data analysis, and false-positive signals during pre-amplification. In this study, we introduce a novel detection method based on AND logic-gated integration of interspaced short palindromic repeats and associated proteins (CRISPR/Cas9) system with hybridization chain reaction (HCR) isothermal amplification. This strategy enhances the specific and sensitive detection of ctDNA. The incorporation of the AND logic gate effectively minimizes the off-target effects of Cas9 and enables the differentiation of single-nucleotide mutations, such as KRAS G12D, even in complex serum environments. Our system exhibits high sensitivity and specificity, achieving a limit of detection as low as 1 fM and capable of identifying SNVs mutations with allele fractions as low as 0.1% among wild-type sequences. Furthermore, we validated the specificity of our approach by successfully detecting various mutations, including KRAS G12C, KRAS G12D, EGFR T790M and TP53 R273H, in simulated clinical samples. These findings highlight a reliable method for precise ctDNA detection, offering high specificity, selectivity, and accuracy, thus paving the way for potential cancer diagnostic application.

Indexed as

Circulating Tumor DNACRISPR-Cas SystemsBiomarkers, TumorHumansLimit of DetectionMutationNucleic Acid Amplification TechniquesNucleic Acid HybridizationPolymorphism, Single NucleotideProto-Oncogene Proteins p21(ras)Biomarkers, TumorCirculating Tumor DNAKRAS protein, humanProto-Oncogene Proteins p21(ras)Circulating tumor DNACRISPR/Cas9Hybridization chain reactionNucleic acids detectionSingle-nucleotide variations

Identifiers

PMID41388295
PMCPMC12817871

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.