Evidence map›Paper›PMID 40919144›Full record

ReviewFrontiers in oncology2025

The tricky effects of TROP2 in lung cancer: from clinical practice back to fundamental investigations.

Renwang Liu, Mingbiao Li, Penghu Gao, Xuanguang Li, Zihe Zhang, Jun Chen

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. 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

6 authors.

Renwang Liu *Department of Lung Cancer Surgery, Department of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Mingbiao Li *Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China.
Penghu Gao *Department of Lung Cancer Surgery, Department of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Xuanguang LiDepartment of Lung Cancer Surgery, Department of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Zihe ZhangDepartment of Lung Cancer Surgery, Department of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Jun ChenDepartment of Lung Cancer Surgery, Department of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TROP2, a transmembrane glycoprotein, is overexpressed and plays pivotal roles in diverse epithelial tumors. The differential expression of TROP2 between cancer and normal tissues offers distinct advantages in developing drugs targeting it. Thus, TROP2-targeted antibody-drug conjugates (ADCs), including datopotamab deruxtecan and sacituzumab govitecan, present considerable efficacy and safety in multiple cancers. However, in lung cancer, the application of TROP2-targeted ADCs has many limitations and challenges. The current clinical trials have not achieved encouraging results yet. Meanwhile, the expression of TROP2 in lung cancer remains ambiguous, let alone its biological effects and underlying mechanism. The complex features and limited research may slow down the development of TROP2-targeted ADCs in lung cancer. Therefore, we comprehensively reviewed the literature on TROP2 in lung cancer, extending back to basic research from clinical trials. We also combined several preliminary bioinformatics analyses in this review and intended to find some research directions on breaking through these limitations.

Indexed as

antibody-drug conjugatesbioinformatics analysislung cancermolecular mechanismTrop2

Identifiers

PMID40919144
PMCPMC12411510

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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.