Evidence map›Paper›PMID 41925564›Full record

ArticleCancer discovery2026

HER2 Heterogeneous Breast Cancer Models Reveal Novel Therapeutic Targets and Subclonal Dynamics during Evolution to Resistance to HER2-Targeted Therapies.

Marie-Anne Goyette, Christopher Graser, Marco Seehawer, Andriana Patmanidis, Ernesto Rojas Jimenez, Avni Kamat, Pengze Yan, Anne Fassl, Pierre Foidart, Zheqi Li and 6 more

Abstract read
In one paragraph

Article in Cancer discovery, 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

16 authors.

Marie-Anne GoyetteDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-3199-2252
Christopher GraserDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0003-8552-7767
Marco SeehawerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-0440-6967
Andriana PatmanidisDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0007-7813-0592
Ernesto Rojas JimenezDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-2311-0205
Avni KamatDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0005-3673-553X
Pengze YanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-8142-0944
Anne FasslDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-2777-0585
Pierre FoidartDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-4198-271X
Zheqi LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-1213-640X
Ameera JamesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0002-0097-9311
George SflomosSwiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.ORCID 0000-0003-2972-0549
Cathrin BriskenSwiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.ORCID 0000-0002-6857-3230
Piotr SicinskiDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-8859-5234
Franziska MichorDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-4869-8842
Kornelia PolyakDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-5964-0382

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Tissue and Pathology CoreP50CA168504 · NCI · DANA-FARBER CANCER INST · PI LEIF W ELLISEN, NANCY U LIN · 2013 to 2026
$30.1M
Targeting intratumor heterogeneity in breast cancerR35CA197623 · NCI · DANA-FARBER CANCER INST · PI KORNELIA POLYAK · 2015 to 2026
$12.4M
Tissue and Pathology CoreP01CA250959 · NCI · DANA-FARBER CANCER INST · PI POLYAK, KORNELIA · 2020 to 2024
$8.6M
New approaches to targeting cell cycle proteins for cancer treatmentR35CA305086 · NCI · DANA-FARBER CANCER INST · PI Peter Sicinski · 2025 to 2026
$1.7M
High-Throughput DNA Sequencing SystemS10OD036228 · OD · DANA-FARBER CANCER INST · PI HERBERT, ZACHARY T · 2024 to 2024
$1.0M
Canadian Institutes of Health Research (CIHR) 202110MFE-472650-242151Cancer Research Society (CRS) 1505135National Cancer Institute (NCI) P50CA168504National Institutes of Health (NIH) 1S10OD036228-01NCI NIH HHS P01 CA250959NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA168504NCI NIH HHS R35 CA197623NCI NIH HHS R35 CA305086NIH HHS S10 OD036228
6 · The paper itself

Abstract

Intratumor heterogeneity for human epidermal growth factor receptor 2 (HER2) in HER2-positive breast cancer is a driver of resistance to HER2-targeted therapies. The advancement of treatments for HER2 heterogeneous (HET) tumors has been hindered by the lack of preclinical models that accurately mimic the human disease. In this study, we describe human HER2 HET breast cancer models composed of ERBB2-amplified (HER2hi) and nonamplified (HER2lo) cell populations derived from the same tumor. Utilizing these models, together with cellular barcoding, we demonstrate subclonal cooperation between HER2hi and HER2lo subpopulations. Furthermore, HER2lo cells drive resistance to HER2-targeting antibody-drug conjugates (ADC) like trastuzumab deruxtecan (T-DXd) but are sensitive to HER2 kinase inhibitors. CRISPR screens in HET cocultures identified sensitizers of HER2lo cells to T-DXd, including ATP-binding cassette subfamily C member 1 and ubiquitin-specific peptidase 9 X (USP9X). USP9X inhibition enhances the lysosomal targeting of HER2, thereby potentiating ADC payload release and reducing tumor recurrence after T-DXd treatment. Our results elucidate the functional relevance of HER2 heterogeneity and propose improved therapies for these tumors. SIGNIFICANCE: Studies of HER2 HET breast cancer models demonstrated that HER2lo cells drive HER2-targeting ADC resistance and accelerate recurrence by cooperating with HER2hi cells. We identified novel therapeutic strategies to sensitize HER2lo cells to T-DXd, providing mechanistic insight and offering promising avenues to overcome resistance and improve patient outcomes.

Indexed as

Breast NeoplasmsDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesAnimalsCamptothecinCell Line, TumorFemaleHumansImmunoconjugatesMiceMolecular Targeted TherapyProtein Kinase InhibitorsTrastuzumabXenograft Model Antitumor AssaysCamptothecinERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesImmunoconjugatesProtein Kinase InhibitorsTrastuzumabtrastuzumab deruxtecan

Identifiers

PMID41925564
PMCPMC13430225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.