Evidence map›Paper›PMID 40385428›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Validation and Prospective Testing of a High Sensitivity, Quantitative Analytic Assay for HER2 on Histopathology Slides.

Nay N N Chan, Patricia Gaule, Julia Benanto, Liam Scott, Charles J Robbins, Mengni He, Katherine Bates, Revekka Khaimova, Daniel C Liebler, Regan Fulton and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

5 · Who and what money

Authors and funding

11 authors.

Nay N N Chan
Patricia Gaule
Julia Benanto
Liam Scott
Charles J RobbinsORCID 0000-0002-3130-7107
Mengni He
Revekka Khaimova
Regan Fulton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The recent approval of antibody drug conjugates (ADCs) targeting HER2 (like Trastuzumab Deruxtecan or T-DXd) have led to challenges for the immunohistochemical (IHC) companion diagnostic test since the test was optimized for gene amplified levels of HER2. Here we develop and validate an objective test for low level HER2 expression toward more accurate selection of patients for T-DXd. Experimental Design: We validated the high-sensitivity HER2 assay using a mix of the requirements for an IHC assay and that of a ligand binding assay. Then we prospectively tested it on 316 core biopsy specimens received by Yale Pathology Labs from August 2022 to August 2023. Results: Using a 40-case breast cancer tissue validation set, we find very high accuracy and precision with a coefficient of variation below 10% and define a reportable range for the assay in amol/mm Conclusion: This assay validation study provides a method for accurate, objective measurement of HER2 and has the potential to improve selection of patients for T-DXd or similarly targeted ADC therapies in the future. Translational Relevance: Antibody Drug Conjugates (ADCs) represent a novel class of targeted therapy, but in some ADC approvals the target is not assessed due to the lack of an objective and reproducible method for measurement of protein on slides. This paper describes, validates and tests a new fully quantitative method for ADC target assessment on histology slides.

Identifiers

PMID40385428
PMCPMC12083604

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.