Evidence map›Paper›PMID 40688535›Full record

ReviewAmerican journal of nuclear medicine and molecular imaging2025

TROP2-targeted molecular imaging: a promising tool for precision oncology.

Liang Ye, Haojun Chen, Di Wu

Abstract readReview
In one paragraph

Review in American journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

3 authors.

Liang YeSchool of Medicine, Southern University of Science and Technology Shenzhen 518055, Guangdong, China.
Haojun ChenDepartment of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University Xiamen 361003, Fujian, China.
Di WuDepartment of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Diseases, The First Affiliated Hospital, School of Medicine, Southern University of Science and Technology Shenzhen 518055, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trophoblast cell surface antigen 2 (TROP2) represents an ideal target in cancer diagnosis and therapy, particularly in antibody-drug conjugate (ADC) treatments. Several TROP2-targeted ADCs have been used for the treatment of end-stage metastatic cancers, demonstrating promising therapeutic efficacy. Research has shown that the efficacy of TROP2-ADCs is closely correlated with TROP2 expression levels, highlighting the potential of TROP2 expression as a key factor for patient stratification and selection, which could significantly predict the therapy response and therefore enhance treatment outcomes. Currently, immunohistochemistry (IHC) is the gold standard for detecting TROP2 expression, although it has certain limitations. Non-invasive molecular imaging techniques offer the potential to overcome these limitations, providing valuable guidance for subsequent treatment strategies. The development of immuno-Positron Emission Tomography (immunoPET) technologies, including radiolabeled monoclonal antibodies, nanobodies, peptides and small molecules, have made the non-invasive measurement of TROP2 expression feasible. TROP2-targeted molecular imaging represents a promising frontier for precision oncology, despite existing challenges in clinical translation. This review systematically summarizes the research progress in TROP2-targeted molecular imaging for tumor diagnosis and therapy, while discussing innovative approaches to overcome current technical limitations and accelerate clinical implementation.

Indexed as

Antibody-drug conjugate (ADC)immuno-Positron Emission Tomography (immunoPET)molecular imagingpatient stratificationTROP2 expression

Identifiers

PMID40688535
PMCPMC12267091

What OpenQuestion holds

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Registered trials

None linked

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.