Evidence map›Paper›PMID 41882291›Full record

ArticleCommunications chemistry2026

Orthogonal recognition of miRNA and lncRNA enables high-fidelity cancer diagnostics.

Yiqun Guo, Jingkun Zhang, Liangyu Jiang, Huamei Yin, Xiankai Niu, Liang Shen, Yuna Guo, Yuancheng Li

Abstract read
In one paragraph

Article in Communications chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yiqun Guo *School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Jingkun Zhang *School of Basic Medical Sciences, Capital Medical University, Beijing, China.
Liangyu JiangMedical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Huamei YinMedical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Xiankai NiuMedical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Liang ShenShandong Provincial Hospital Affiliated to Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. shenlang007@163.com.ORCID http://orcid.org/0000-0003-1792-0105
Yuna GuoMedical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. gyn9901220@163.com.ORCID http://orcid.org/0009-0006-7828-0884
Yuancheng LiSchool of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. liyuancheng@sdfmu.edu.cn.ORCID http://orcid.org/0000-0002-9833-9306

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22106091National Natural Science Foundation of China (National Science Foundation of China) 22304104Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2021QB126Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2022QH260Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2025MS109Taishan Scholar Project of Shandong Province tsqn202408255
6 · The paper itself

Abstract

Recent advances in molecular diagnostics have highlighted the transformative potential of multi-protein response logic gates in enhancing sensitivity and specificity for cancer detection. However, logic gates based on multi-type nucleic acid responses remain underexplored. In this study, we present a dual-biomarker response platform that utilizes nucleic acid logic gates targeting miR-21 (microRNA-21) and lncRNA MALAT1 (metastasis-associated lung adenocarcinoma transcript 1). Compared to traditional single-target methods, our platform effectively overcomes common challenges, such as expression variability and cross-reactivity, which are inherent in single biomarker approaches, thereby significantly improving both diagnostic sensitivity and specificity. This platform is based on rolling circle amplification (RCA) technology and incorporates two key components: a primer switch and a padlock probe switch. When miR-21 is recognized, a hairpin probe undergoes a shape change, releasing a primer that starts the RCA process. Simultaneously, a MALAT1-specific padlock probe forms a closed circular structure, which is necessary to activate RCA and increase signal detection. Furthermore, the RCA products contain G-quadruplex sequences that can bind to hemin, forming DNAzymes that produce an electrochemical signal. This strategy significantly enhances diagnostic sensitivity and specificity, demonstrating strong potential for early cancer detection and precision oncology.

Identifiers

PMID41882291
PMCPMC13181073

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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.