Evidence map›Paper›PMID 41290548›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Evolution of Multivalent Aptamer Corona for High-Throughput Multiplexed Detection of Multiple Cancers.

Mengjie Wang, Baichuan Jin, Xin Dai, Haozhe Huang, Qiqi Liu, Jianqing Zhu, Haixing Ju, Qixun Chen, Yongmei Song, Weihong Tan and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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. Article
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

11 authors.

Mengjie WangInstitute of Department, Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, 410082, China.
Baichuan JinInstitute of Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Xin DaiInstitute of Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Haozhe HuangInstitute of Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Qiqi LiuInstitute of Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Jianqing ZhuInstitute of Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Haixing JuInstitute of Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Qixun ChenInstitute of Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Yongmei SongState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Weihong TanInstitute of Department, Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, 410082, China.
Yuan LiuInstitute of Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.ORCID https://orcid.org/0009-0006-0515-1811

Funding

Hangzhou Key Research and Development Program 20241203A20National Key R&D Program of China 2022YFC3401000National Natural Science Foundation of China 21CAA02059National Natural Science Foundation of China 22204144"Pioneer" and "Leading Goose" R&D Program of Zhejiang 2023SDYXS0001Zhejiang Provincial Natural Science Foundation of China YXD24B0402
6 · The paper itself

Abstract

Clinical in vitro diagnosis is essential in early diagnosis and prognostic assessment, yet antibody-based assays face limitations in multiplexity and scalability. To address the growing demand for modern molecular diagnostics, a multivalent aptamer corona platform for high-throughput is introduced and multiplexed multi-cancer diagnosis. With clinical serum samples, ovarian cancer-, lung cancer-, and colorectal cancer-based aptamer coronas are obtained through several rounds of alternating positive and negative systematic evolution of ligands by exponential enrichment (SELEX). Leveraging a de novo ProteoFish-SELEX strategy, which integrates nanoparticle-protein corona technology, a multivalent aptamer corona is evolved. Proteomic profiling of protein coronas revealed cancer-associated protein signatures, while aptomic profiling of aptamer coronas identified high-affinity cancer-specific aptamers. With these aptamers, high diagnostic accuracy is demonstrated in multiplexed multi-cancer detection using clinical cohorts. Multivalent aptamer corona's outstanding diagnostic performance, multiplexed detection capability, and sequencing-enabled high-throughput potential position it as a promising versatile tool for novel biomarker discovery and a transformative advancement in precision oncology.

Indexed as

Aptamers, NucleotideNeoplasmsProtein CoronaSELEX Aptamer TechniqueBiomarkers, TumorFemaleHigh-Throughput Screening AssaysHumansProteomicsAptamers, NucleotideBiomarkers, TumorProtein Coronaaptomicsmultiplexed cancer diagnosismultivalent aptamer coronaProteoFish‐SELEXproteomics

Identifiers

PMID41290548
PMCPMC12884786

What OpenQuestion holds

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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.