Evidence map›Paper›PMID 41998762›Full record

ArticleBiomarker research2026

Genome-wide biomarker analysis across the full spectrum of HER2-expressing breast cancers to reveal a clonal chromosome 17 imbalance defining unfavourable HER2-low disease.

Sara Erika Bellomo, Enrico Berrino, Pamela Arcella, Anita Chesta, Caterina Parlato, Simonetta Guarrera, Laura Casorzo, Ivana Sarotto, Mara Panero, Andrea Botticelli and 5 more

Abstract read
In one paragraph

Article in Biomarker research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Sara Erika Bellomo *Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Enrico Berrino *Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Pamela ArcellaCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Anita ChestaCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Caterina ParlatoCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Simonetta GuarreraCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Laura CasorzoCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Ivana SarottoCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Mara PaneroCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Andrea BotticelliDepartment of Clinical and Molecular Medicine, Sapienza University, Rome, Italy.
Riccardo PonzoneCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Pierfranco ConteCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Nicola CrosettoDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17177, Sweden.
Anna SapinoCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Caterina MarchiòCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy. caterina.marchio@unito.it.

Funding

Finpiemonte Support of the Whole Innovation Chain (P.R. F.E.S.R. 2021/27) - FINPIEMONTE - ORIENTA ProjecFondazione AIRC per la ricerca sul cancro ETS AIRC under IG 2019 - ID. 22850 projectMinistero della Salute GR- 2018-12367431
6 · The paper itself

Abstract

backgroundThe full spectrum of HER2-expressing breast carcinomas (BCs) may be treated with antibody-drug conjugates (ADCs) targeting HER2. However, much remains to be learned for optimal ADC use with respect to BC heterogeneity.

methodsWe here applied shallow whole-genome sequencing (CUTseq method) to detect genome-wide copy number alterations in 157 BC patients (19 HER2-null, 21 HER2-ultralow, 84 HER2-low and 33 HER2-positive).

resultsCUTseq accurately detected the ERBB2 status with respect to standard methods and identified ERBB2 copy number loss in 13/157 cases (8%). HER2-null and ultralow BCs showed ‘cold’ chr17 copy number profiles, whereas HER2-low BCs comprised three distinct clusters based on chr17 and genome-wide copy number profiles. Notably, 40% of these tumours harboured a chr17 imbalance (p-arm loss/q-arm gain), which was significantly associated with poor prognosis. On four HER2-low tumours we additionally performed single-cell copy number profiling revealing that the chr17 copy number imbalance is a clonal rearrangement.

conclusionsThis first in class genome-wide characterization sheds light on the heterogeneity of somatic copy number alterations and chromosomal instability across the spectrum of HER2-expressing BCs and further defines the presence of a chr17 imbalance showing a prognostic genomic feature for a subgroup of HER2-low tumours. Further studies are warranted to confirm the prognostic relevance of this genomic trait and to define whether it has an impact on stratification of response to treatment.

Indexed as

Breast cancerCopy number alterationsHER2 expression spectrumHER2-lowPrognostic copy number signaturesSingle cell DNA sequencing

Identifiers

PMID41998762
PMCPMC13218065

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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.