Evidence map›Paper›PMID 39823559›Full record

Trial reportJCO precision oncology2025

Artificial Intelligence-Powered Human Epidermal Growth Factor Receptor 2 and Tumor Microenvironment Analysis in Human Epidermal Growth Factor Receptor 2-Amplified Metastatic Colorectal Cancer: Exploratory Analysis of Phase II TRIUMPH Trial.

Mitsuho Imai, Yoshiaki Nakamura, Sangwon Shin, Wataru Okamoto, Takeshi Kato, Taito Esaki, Ken Kato, Yoshito Komatsu, Satoshi Yuki, Toshiki Masuishi and 10 more

Abstract readClinical Trial, Phase II
In one paragraph

Trial report in JCO precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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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

20 authors.

Mitsuho ImaiTranslational Research Support Office, National Cancer Center Hospital East, Chiba, Japan.ORCID 0000-0001-8736-0399
Yoshiaki NakamuraTranslational Research Support Office, National Cancer Center Hospital East, Chiba, Japan.ORCID 0000-0002-5241-6855
Sangwon ShinLunit, Seoul, Republic of Korea.ORCID 0009-0003-2626-3052
Wataru OkamotoDepartment of Clinical Oncology, Hiroshima University Hospital, Hiroshima, Japan.ORCID 0000-0002-2602-7282
Takeshi KatoDepartment of Surgery, NHO Osaka National Hospital, Osaka, Japan.
Taito EsakiDepartment of Gastrointestinal and Medical Oncology, NHO Kyushu Cancer Center, Fukuoka, Japan.
Ken KatoDepartment of Head and Neck, Esophageal Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.ORCID 0000-0002-1733-5072
Yoshito KomatsuDepartment of Cancer Center, Hokkaido University Hospital, Hokkaido, Japan.ORCID 0000-0002-1570-6802
Satoshi YukiDepartment of Gastroenterology and Hepatology, Hokkaido University Hospital, Hokkaido, Japan.
Toshiki MasuishiDepartment of Clinical Oncology, Aichi Cancer Center, Nagoya, Japan.ORCID 0000-0002-7521-1596
Tomohiro NishinaGastrointestinal Medical Oncology, NHO Shikoku Cancer Center, Ehime, Japan.
Kentaro SawadaDepartment of Medical Oncology, Kushiro Rosai Hospital, Kushiro, Japan.ORCID 0000-0001-7952-2765
Akihiro SatoClinical Research Support Office, National Cancer Center Hospital East, Chiba, Japan.
Takeshi KuwataDepartment of Genetic Medicine and Services, National Cancer Center Hospital East, Chiba, Japan.
Riu YamashitaDivision of Translational Informatics, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Chiba, Japan.ORCID 0000-0003-0068-6949
Takao FujisawaTranslational Research Support Office, National Cancer Center Hospital East, Chiba, Japan.ORCID 0009-0002-3438-5757
Hideaki BandoTranslational Research Support Office, National Cancer Center Hospital East, Chiba, Japan.ORCID 0000-0001-5041-2765
Chan-Young OckLunit, Seoul, Republic of Korea.ORCID 0000-0002-6755-9728
Satoshi FujiiDepartment of Molecular Pathology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID 0000-0001-7541-8469
Takayuki YoshinoTranslational Research Support Office, National Cancer Center Hospital East, Chiba, Japan.ORCID 0000-0002-0489-4756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHuman epidermal growth factor receptor 2 (HER2)-targeted therapies have shown promise in treating MATERIALS AND

methodsAI-powered HER2 quantification continuous score (QCS) and tumor microenvironment (TME) analysis were applied to the prescreening cohort (n = 143) and the TRIUMPH cohort (n = 30). AI analyzers determined the proportions of tumor cells (TCs) with HER2 staining intensity and the densities of various cells in TME, examining their associations with clinical outcomes of TP.

resultsThe AI-powered HER2 QCS for HER2 immunohistochemistry (IHC) achieved an accuracy of 86.7% against pathologist evaluations, with a 100% accuracy for HER2 IHC 3+ patients. Patients with ≥50% of TCs showing HER2 3+ staining intensity (AI-H3-high) exhibited significantly prolonged progression-free survival (PFS; median PFS, 4.4

conclusionAI-powered HER2 QCS and TME analysis demonstrated potential in enhancing treatment response predictions in patients with

Indexed as

Artificial IntelligenceColorectal NeoplasmsErb-b2 Receptor Tyrosine KinasesTumor MicroenvironmentAgedAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsFemaleHumansMaleMiddle AgedNeoplasm MetastasisTrastuzumabAntibodies, Monoclonal, HumanizedERBB2 protein, humanErb-b2 Receptor Tyrosine KinasespertuzumabTrastuzumab

Identifiers

PMID39823559
PMCPMC11753463

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.