Evidence map›Paper›PMID 41709478›Full record

ArticleApplied immunohistochemistry & molecular morphology : AIMM2026

Quantitative Assays for TROP2 Measurement in Breast Cancer and Comparison to H-Score.

Mengni He, Nay N N Chan, Matthew Liu, Charles J Robbins, Katherine Bates, Julia Benanto, Lorraine Colón-Cartagena, Mohamed Kahila, Haiying Zhan, Uma Krishnamurti and 5 more

Abstract readComparative Study
In one paragraph

Article in Applied immunohistochemistry & molecular morphology : AIMM, 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. A modular framework for antibody-drug conjugate biomarkers.Nature reviews. Clinical oncology · 2026
    Review
  2. Review
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

15 authors.

Mengni HeDepartment of Pathology.
Nay N N ChanDepartment of Pathology.
Matthew LiuDepartment of Pathology.
Charles J RobbinsDepartment of Pathology.
Katherine BatesDepartment of Pathology.
Julia BenantoDepartment of Pathology.
Lorraine Colón-CartagenaDepartment of Pathology.
Mohamed KahilaDepartment of Pathology.
Haiying ZhanDepartment of Pathology.
Uma KrishnamurtiDepartment of Pathology.
Myrto MoutafiPropaedeutic Department of Medicine, Oncology Section, ATTIKON University Hospital, Athens, GR.
Vesal YaghoobiDepartment of Pathology.
Daniel C LieblerInotiv, Inc., Nashville, TN.
Regan FultonArray Science, LLC, Sausalito, CA.
David L RimmDepartment of Pathology.ORCID 0000-0001-5820-4397

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI Eric P. Winer · 1985 to 2026
$85.0M
Next-generation diagnostic approaches for HER2-low breast cancer and trastuzumab deruxtecan therapyF30CA287869 · NCI · YALE UNIVERSITY · PI Charles John Robbins · 2024 to 2026
$124k
Breast Cancer Research Foundation BCRF23-138NCI NIH HHS F30 CA287869NCI NIH HHS P30 CA016359
6 · The paper itself

Abstract

Trophoblast cell surface antigen 2 (TROP2) is a popular current antibody-drug conjugate target due to its high expression in various solid tumor types. With the recent FDA-approval of sacituzumab govitecan and datopotamab deruxtecan in breast cancer, TROP2-targeting therapies showed promising clinical outcomes. Despite the prevalent expression of TROP2 in breast cancer (about 90%), the objective response rates from clinical trials are around 30% with nonsignificant hazard ratios for benefit from sacituzumab govitecan in low TROP2-expressing tumors. This suggests that there may be value in a companion diagnostic assay to measure TROP2 protein expression in tumor samples, but H-score assessment is not required. Here, we develop a quantitative immunofluorescence (QIF) assay and a quantitative hematoxylin-DAB (QH-DAB) assay for potential use as a future companion diagnostic test. TROP2 peptide concentrations were measured in cell lines using mass spectrometry to convert fluorescent signal or chromogen optical density to protein concentrations in amol/mm 2 . Coupled with QuPath-based image analysis tool Qymia, our QIF and QH-DAB assays have limits of detection of 90 amol/mm 2 and 667 amol/mm 2 , and limits of quantifications of 272 amol/mm 2 and 2021 amol/mm 2 , respectively. Using these assays, we measured the TROP2 expression in a breast cancer serial cohort (N=264) and a triple-negative breast cancer cohort (N=100) from Yale New Haven Hospital, identifying a broad dynamic range of TROP2 expression in breast cancer samples. Since the H-score method is the current standard of practice in the clinics, we selected 68 breast cancer biopsies and compared the measurements from our assays to H-scores evaluated by 5 certified pathologists. There is an overall agreement between our QIF and QH-DAB measurements and pathologists' readings. However, the quantitative assay has better sensitivity and less subjectivity. In summary, these assays allow for an accurate and reproducible TROP2 protein measurement that could be incorporated into a clinical workflow. This work represents only analytic validation, but work on clinical validation has begun. In the future, this assay may help identify patients who are more likely to benefit from TROP2-targeted therapies.

Indexed as

Antigens, NeoplasmBiomarkers, TumorBreast NeoplasmsCell Adhesion MoleculesAntibodies, Monoclonal, HumanizedCamptothecinCell Line, TumorFemaleFluorescent Antibody TechniqueHumansImmunoconjugatesAntibodies, Monoclonal, HumanizedAntigens, NeoplasmBiomarkers, TumorCamptothecinCell Adhesion MoleculesImmunoconjugatessacituzumab govitecanTACSTD2 protein, humanantibody-drug conjugatechromogenH-scoreimmunofluorescenceimmunohistochemistryTROP2

Identifiers

PMID41709478
PMCPMC13143368

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.