Evidence map›Paper›PMID 42208007›Full record

ArticleJCO precision oncology2026

Human Epidermal Growth Factor Receptor 2 Quantification Using Computational Pathology to Identify Novel Biomarkers for Trastuzumab Deruxtecan-Treated Human Epidermal Growth Factor Receptor 2-Positive Gastric Cancer.

Ansh Kapil, Henrik Failmezger, Yu Fu, Andreas Spitzmüller, Jessica Chan, Susanne Haneder, Anatoliy Shumilov, Alice Barkell, Toshihiro Oguma, Koichiro Inaki and 11 more

Abstract readValidation Study
In one paragraph

Article in JCO precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Ansh KapilAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.ORCID 0000-0002-5079-6997
Henrik FailmezgerAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.ORCID 0000-0003-4235-6120
Yu FuAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.
Andreas SpitzmüllerAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.ORCID 0000-0003-1217-7818
Jessica ChanAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.
Susanne HanederAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.
Anatoliy ShumilovAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.ORCID 0000-0002-6332-5844
Alice BarkellAstraZeneca Translational Medicine, Early Oncology, Cambridge, UK.
Toshihiro OgumaDaiichi Sankyo Inc, Tokyo, Japan.
Koichiro InakiDaiichi Sankyo Inc, Tokyo, Japan.
Fumitaka SutoDaiichi Sankyo Inc, Basking Ridge, NJ.ORCID 0009-0009-5649-2650
John AllardDaiichi Sankyo Inc, Basking Ridge, NJ.
Jeeyun LeeSamsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Republic of Korea.ORCID 0000-0002-4911-6165
Arthur W LambertAstraZeneca, Waltham, MA.
Markus SchickAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.
J Carl BarrettAstraZeneca, Waltham, MA.
Günter SchmidtAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.ORCID 0000-0003-0709-5295
Hadassah SadeAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.
Mark GustavsonAstraZeneca Computational Pathology GmbH, Oncology Research and Development, Munich, Germany.
Danielle CarrollAstraZeneca Translational Medicine, Early Oncology, Cambridge, UK.
Fabiola CecchiAstraZeneca, Gaithersburg, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTrastuzumab deruxtecan (T-DXd) is an antibody-drug conjugate approved for human epidermal growth factor receptor 2 (HER2)-positive gastric cancer (GC) and gastroesophageal junction adenocarcinoma (GEJA). Eligibility for T-DXd therapy currently relies on conventional HER2 immunohistochemistry (IHC) scoring per ASCO/CAP guidelines. Computational pathology tools such as quantitative continuous scoring (QCS) offer precise quantification of HER2 expression, enabling improved scores reflective of T-DXd's mechanism of action.

methodsWe used HER2-QCS scoring to identify biomarker signatures in the DESTINY-Gastric01 cohort, with external validation in DESTINY-Gastric02.

resultsQCS-derived continuous spatial proximity score (cSPS) and density of HER2-positive cells in tumor epithelium (DPC) displayed significant survival benefits for biomarker-positive versus biomarker-negative patients in the DESTINY-Gastric01 T-DXd arm (Cox regression:

conclusionOur findings indicate that cSPS and DPC are predictive of T-DXd clinical outcomes, supporting the potential future use of QCS as a quantitative approach to identify patients with GC who might benefit most from T-DXd therapy.

Indexed as

Biomarkers, TumorImage Processing, Computer-AssistedImmunoconjugatesStomach NeoplasmsTrastuzumabCamptothecinClinical Trials, Phase II as TopicDatasets as TopicErb-b2 Receptor Tyrosine KinasesGastric MucosaHumansPatient SelectionPredictive Value of TestsProgression-Free SurvivalRandomized Controlled Trials as TopicBiomarkers, TumorCamptothecinERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesImmunoconjugatesTrastuzumabtrastuzumab deruxtecan

Identifiers

PMID42208007
PMCPMC13225111

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.