Evidence map›Paper›PMID 39167246›Full record

ArticleMikrochimica acta2024

Construction of scalable multi-channel DNA nanoplatform for the combined detection of ctDNA biomarkers of ovarian cancer.

Yiwei Song, Xiuyan Jin, Yiou Zhao, Shuwen Cheng, Sai Xu, Shengjun Bu, Liming Liu, Chunyang Zhou, Chunying Pang

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Article in Mikrochimica acta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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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.

Yiwei SongCollege of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China.
Xiuyan JinCollege of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China.
Yiou ZhaoCollege of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China.
Shuwen ChengCollege of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China.
Sai XuSchool of Science, Dalian Maritime University, Dalian, 116026, People's Republic of China.
Shengjun BuCollege of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China.
Liming LiuCollege of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China.
Chunyang ZhouCollege of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China. cyzhoucust@126.com.
Chunying PangCollege of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China. 1281957328@qq.com.

Funding

Jilin Province Science and Technology Department projects YDZJ202301ZYTS33National Natural Science Foundation of China 52071048
6 · The paper itself

Abstract

Single-level biomarker detection has the limitation of insufficient accuracy in cancer diagnosis. Therefore, the strategy of developing highly sensitive, multi-channel biosensors for high-throughput ctDNA determination is critical to improve the accuracy of early diagnosis of clinical tumors. Herein, in order to achieve efficient detection of up to ten targets for early diagnosis of ovarian cancer, a DNA-nanoswitch-based multi-channel (DNA-NSMC) biosensor was built based on the multi-module catalytic hairpin assembly-mediated signal amplification (CHA) and toehold-mediated DNA strand displacement (TDSD) reaction. Only two different fluorescence signals were used as outputs, combined with modular segmentation strategy of DNA-nanoswitch-based reaction platform; the multi-channel detection of up to ten targets was successfully achieved for the first time. The experimental results suggest that the proposed biosensor is a promising tool for simultaneously detecting multiple biomarkers for the early diagnosis of ovarian cancer, offering new strategies for the early screening, diagnosis, and treatment not only for ovarian cancer but also for other cancers.

Indexed as

Biomarkers, TumorBiosensing TechniquesCirculating Tumor DNAOvarian NeoplasmsFemaleHumansLimit of DetectionBiomarkers, TumorCirculating Tumor DNACHACtDNA detectionDNA nanoswitchFluorescence detectionMulti-channel sensingOvarian cancer

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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.