Evidence map›Paper›PMID 39707103›Full record

ArticleBreast cancer research and treatment2025

Pooled clinical trial analyses evaluating outcomes of HER2-low vs HER2-0 expression in patients with metastatic breast cancer following chemotherapy.

Elizabeth B Lamont, Emily Stein, Paolo Tarantino, Sara M Tolaney, Corinne Ahlberg, Krishna Chinnathambu, Jiezhi Qi, Jackie Bilan, Ruthie Davi, Lisa Ensign

Abstract read
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In one paragraph

Article in Breast cancer research and treatment, 2025. 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

10 authors.

Elizabeth B LamontMedidata AI, Medidata Solutions, a Dassault Systèmes Company, 350 Hudson Street, New York, NY, 10014, USA. elizabeth.lamont@3ds.com.ORCID http://orcid.org/0000-0001-6604-678X
Emily SteinMedidata AI, Medidata Solutions, a Dassault Systèmes Company, 350 Hudson Street, New York, NY, 10014, USA.
Paolo TarantinoMedidata AI, Medidata Solutions, a Dassault Systèmes Company, 350 Hudson Street, New York, NY, 10014, USA.
Sara M TolaneyMedidata AI, Medidata Solutions, a Dassault Systèmes Company, 350 Hudson Street, New York, NY, 10014, USA.
Corinne AhlbergMedidata AI, Medidata Solutions, a Dassault Systèmes Company, 350 Hudson Street, New York, NY, 10014, USA.
Krishna ChinnathambuMedidata AI, Medidata Solutions, a Dassault Systèmes Company, 350 Hudson Street, New York, NY, 10014, USA.
Jiezhi QiMedidata AI, Medidata Solutions, a Dassault Systèmes Company, 350 Hudson Street, New York, NY, 10014, USA.
Jackie BilanMedidata AI, Medidata Solutions, a Dassault Systèmes Company, 350 Hudson Street, New York, NY, 10014, USA.
Ruthie DaviMedidata AI, Medidata Solutions, a Dassault Systèmes Company, 350 Hudson Street, New York, NY, 10014, USA.
Lisa EnsignMedidata AI, Medidata Solutions, a Dassault Systèmes Company, 350 Hudson Street, New York, NY, 10014, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The therapeutic importance of subsetting patients with HER2-negative breast cancer according to their tumors' cellular HER2 expression (e.g., HER2-low vs. HER2-0) is relatively new, stemming from the dramatic results of the DESTINY-04 trial which established HER2-low expression as actionable. Most prior observational research of traditionally HER2-negative patients suggests that tumor behavior and biology do not vary according to HER2-low vs. HER2-0 expression, though some studies suggest otherwise. Here we studied this question in women with metastatic breast cancer (MBC) who were treated with standard single agent chemotherapy in the setting of clinical trials carried out in the pre-DESTINY-04 era. After pooling data from 142 female patients with MBC across historic clinical trials and categorizing them according to HER2 expression (i.e., HER2-0 or HER2-low), we evaluated associations between HER2 expression and the outcomes of both progression-free survival (PFS) and overall survival (OS) with both Kaplan-Meier and Cox proportional hazards methods. Studying data from an era when quantifying amounts of tumor HER2 expression in HER2-negative patients was neither standardized nor clinically actionable, we found no meaningful clinical differences in PFS or OS according to HER2-low vs. HER2-0 status, supporting prior findings of no biologic differences.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorClinical Trials as TopicFemaleHumansKaplan-Meier EstimateMiddle AgedNeoplasm MetastasisPrognosisTreatment OutcomeBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesHER2-0HER2-lowHER2-negativeMetastatic breast cancer

Identifiers

PMID39707103

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.