Evidence map›Paper›PMID 42890328›Full record

ArticleThe journal of liquid biopsy2026

HER2 phenotyping of CTCs in breast cancer: a comparison across the spectrum of tissue HER2 expression level.

Elisabetta Molteni, Lorenzo Foffano, Letizia Pontolillo, Eleonora Nicolò, Brenno Pastò, Giovanna Guimaraes, Nadia Bayou, Mara Serena Serafini, Caterina Gianni, Paolo D'Amico and 7 more

Abstract read
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Article in The journal of liquid biopsy, 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

17 authors.

Elisabetta MolteniDepartment of Medicine, University of Udine, Udine, Italy.
Lorenzo FoffanoDepartment of Medicine, University of Udine, Udine, Italy.
Letizia PontolilloDepartment of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA.
Eleonora NicolòDepartment of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA.
Brenno PastòDepartment of Medicine, University of Udine, Udine, Italy.
Giovanna GuimaraesDepartment of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA.
Nadia BayouDepartment of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA.
Mara Serena SerafiniDepartment of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA.
Caterina GianniDepartment of Clinical and Experimental Oncology and Hematology, Medical Oncology, Breast & GYN Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Forlì-Cesena, Italy.
Paolo D'AmicoDivision of Hematology and Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Eleni AndreopoulouDepartment of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA.
Andrew A DavisDepartment of Medicine, Washington University in St Louis, St Louis, MO, USA.
William J GradisharDivision of Hematology and Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Fabio PuglisiDepartment of Medicine, University of Udine, Udine, Italy.
Massimo CristofanilliDepartment of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA.
Lorenzo GerratanaDepartment of Medicine, University of Udine, Udine, Italy.
Carolina ReduzziDepartment of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Assessing and trackinghuman epidermal growth factor receptor 2 (HER2) status in breast cancer (BC) is essential for selecting the right targeted therapies, but conventional tissue biopsies fall short because they cannot fully reflect tumor heterogeneity or provide ongoing, real-time monitoring. Circulating tumor cells (CTCs) provide a minimally invasive way to dynamically assess HER2 status, but they still require further validation and standardization before routine clinical use. Methods: We compared the HER2 expression on CTCs through a quantitative assessment using the ACCEPT tool across patients with BC with different HER2 status on tissue (positive, low and null). The proportion of HER2-expressing CTCs in individual samples (CTC-HER2ratio) was calculated and correlation with tissue HER2 status was analyzed in a cohort of patients with metastatic BC (MBC) to define an optimal cutoff value for discrimination by receiver operating characteristic (ROC) analysis. Results: A total of 143 patients were included. The median CTC-HER2ratio was significantly higher in patients with HER2-positive (HER2+) tumors compared to HER2-negative (HER2-)tumors (30% vs 9%, p = 0.0003). The ROC curve yielded an area under the curve (AUC) of 0.7417 for distinguishing HER2+ from HER2- disease, with an exploratory optimal cutoff of 0.22. In contrast, the CTC-HER2ratio did not significantly differentiate HER2-low from HER2-null tumors (p = 0.327; AUC 0.5646), highlighting limited resolution in the low-expression range. Conclusions: This proof-of-concept study suggests that a ratio-based assessment of HER2 expression on CTCs may capture biological heterogeneity and correlate with tissue HER2 status. However, the modest discriminative performance and limited resolution in the HER2-low range indicate that further prospective validation is necessary before clinical integration.

Indexed as

Circulating tumor cells (CTCs)CTC-HER2ratioLiquid biopsyMetastatic breast cancerReal-time tumor phenotyping

Identifiers

PMID42890328
PMCPMC13671332

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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.