Evidence map›Paper›PMID 42255942›Full record

ArticleSensors and actuators. B, Chemical2025

A Novel Peptide Multimer for Enhanced Imaging and Multivalent Detection of Hepatocellular Carcinoma.

Shuo Feng, Xiaoli Wu, Eun-Young K Choi, Tse-Shao Chang, Ruoliu Zhang, Sangeeta Jaiswal, Yuting Duan, Hui Jiang, Thomas D Wang

Abstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Green in situ reduction synthesis of CuAnalytical and bioanalytical chemistry · 2026
    Article
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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.

Shuo FengDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI, 48109, United States.
Xiaoli WuDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI, 48109, United States.
Eun-Young K ChoiDepartment of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States.
Tse-Shao ChangDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, United States.
Ruoliu ZhangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, United States.
Sangeeta JaiswalDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI, 48109, United States.
Yuting DuanDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, United States.
Hui JiangDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, United States.
Thomas D WangDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI, 48109, United States.

Funding

NOVEL STRATEGIES TO IMPROVE LIVER CANCER SURVEILLANCE UPTAKE AND EARLY DETECTIONU01CA230669 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LOK, ANNA S.F., SU, GRACE L. · 2018 to 2022
$3.3M
Peptide multimer for early detection of hepatocellular carcinomaR01CA285303 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Thomas D Wang · 2024 to 2026
$2.1M
NCI NIH HHS R01 CA285303NCI NIH HHS U01 CA230669
6 · The paper itself

Abstract

The global incidence of hepatocellular carcinoma (HCC) is rising steadily, yet early detection methods remain a major clinical challenge due to genetic heterogeneity and variable target expression in these tumors. Conventional imaging approaches rely on non-specific or single targets, and often fail to achieve sufficient sensitivity or specificity, in particular, for early stage disease. A peptide multimer capable of simultaneously targeting 3 early HCC targets, including GPC3, CD44, and EpCAM, using a single biochemical construct was demonstrated. The multimer was labeled with either Cy5.5 for fluorescence imaging or Gd-DOTA for MRI to enable dual-modality detection. In vitro analysis using patient-derived HCC cell lines and organoids, and demonstrated significantly enhanced binding kinetics and affinity, including a 2.6-fold increase in fluorescence intensity and a 2.18-fold faster association rate compared with individual monomers. In vivo MRI in orthotopic patient-derived xenograft (PDX) models, both with and without cirrhosis, showed a peak tumor-to-background ratio of 3.05 at 0.5 hours post-injection and rapid renal clearance by about 4 hours. Ex vivo immunofluorescence of human liver specimens yielded 87% sensitivity and 80% specificity for distinguishing HCC from cirrhosis. These findings highlight multimer potential as a clinically translatable platform to improve early HCC diagnosis via enhanced molecular imaging.

Indexed as

fluorescencehepatocellular carcinomaimagingMRIpeptide

Identifiers

PMID42255942
PMCPMC13234501

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.