Evidence map›Paper›PMID 41826294›Full record

ArticleNature communications2026

Enzymatic colorimetric encoding-based digital medicine for pancreatic cancer diagnosis.

Dongsheng Mao, Chenbin Liu, Runchi Zhang, Zhiyuan Ma, Liang Wu, Mingjin Zhu, Xiaochen Tang, Wen Chen, Jie Deng, Hongquan Gou and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

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

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

16 authors.

Dongsheng Mao *Department of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0002-3881-0418
Chenbin Liu *Department of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Runchi Zhang *Department of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhiyuan MaInstitute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai, China.
Liang WuDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Mingjin ZhuDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiaochen TangDepartment of Clinical Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Wen ChenDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Jie DengDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Hongquan GouDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiong DunInstitute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai, China.
Jingqi ChenDepartment of Clinical Laboratory Medicine, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhaocheng LiuDepartment of Laboratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China.
Wenxing LiDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China. 2311069@tongji.edu.cn.
Fenyong SunDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China. sunfenyong@263.net.ORCID http://orcid.org/0000-0003-4959-7138
Xiaoli ZhuDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China. xiaolizhu@tongji.edu.cn.ORCID http://orcid.org/0000-0001-5497-4538

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22074090National Natural Science Foundation of China (National Science Foundation of China) 32301256National Natural Science Foundation of China (National Science Foundation of China) 32371531
6 · The paper itself

Abstract

Digital medicine leverages digital biomarkers by algebraically integrating multiple biomarkers to reflect disease status. Colorimetric analysis offers an intuitive readout, but colorimetric-based digital medicine remains underexplored. Here we show an Enzymatic Colorimetric Encoding-based Digital Medicine platform (EnCODE). By harnessing enzyme-catalyzed multicolor encoding in tandem with the programmability of DNA technology, EnCODE converts multidimensional miRNA information into recognizable optical signals. We demonstrate that these signals are decodable and can be interpreted by visual inspection or spectral analysis, facilitating dimensionality reduction and visualization of disease states. Additionally, EnCODE integrates a continuous weighting mechanism that enables accurate mapping of digital biomarkers. In a cohort of 163 pancreatic cancer clinical samples, EnCODE achieves 96% detection sensitivity and 90% overall accuracy-comparable to the 96% sensitivity and 91% overall accuracy with conventional molecular diagnostic methods. We increase data density through three-dimensional color encoding and hyperspectral imaging-based analysis, enabling an intuitive color-coded molecular readout.

Indexed as

ColorimetryPancreatic NeoplasmsBiomarkers, TumorDigital HealthHumansMicroRNAsSensitivity and SpecificityBiomarkers, TumorMicroRNAs

Identifiers

PMID41826294
PMCPMC13129089

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.