Evidence map›Paper›PMID 41398178›Full record

ArticleNPJ breast cancer2025

The role of circulating tumor cell-associated genes in the progression of estrogen receptor-positive breast cancer.

Martin Rotbauer, Melanie Dawe, Kevin C J Nixon, Julissa Tsao, Tanja Durbic, Monika Sharma, Sheng-Ben Liang, Jie Zhang, Nakita E K Gopal, Miralem Mrkonjic and 6 more

Abstract read
In one paragraph

Article in NPJ breast cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Martin RotbauerPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Melanie DawePrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Kevin C J NixonPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Julissa TsaoPrincess Margaret Genomics Centre (PMGC), University Health Network, Toronto, Canada.
Tanja DurbicPrincess Margaret Genomics Centre (PMGC), University Health Network, Toronto, Canada.
Monika SharmaPrincess Margaret Genomics Centre (PMGC), University Health Network, Toronto, Canada.
Sheng-Ben LiangPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Jie ZhangPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Nakita E K GopalPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Miralem MrkonjicDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
Najd AlshamlanLaboratory Medicine Program, University Health Network, Toronto, Canada.
Adnan KaravelicLaboratory Medicine Program, University Health Network, Toronto, Canada.
Ciara MurrayLaboratory Medicine Program, University Health Network, Toronto, Canada.
David W CesconPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Philippe L BedardPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Susan J DonePrincess Margaret Cancer Centre, University Health Network, Toronto, Canada. susan.done@uhn.ca.ORCID http://orcid.org/0000-0002-1770-988X

Funding

Cancer Research Society summer internship awardCIHR 162282
6 · The paper itself

Abstract

Estrogen receptor-positive, human epidermal growth factor receptor negative (ER + /HER2-) breast cancer, poses challenges in adjuvant treatment decisions due to its propensity for late recurrence. We propose a model that leverages our previously identified circulating tumor cell (CTC) genomic signature, linked to metastasis. Furthermore, we investigated the impact of CTC signature intratumour heterogeneity (ITH) on recurrence risk. Using Oncotype DX recurrence score as a surrogate for survival, we trained expression and copy number-based models using 194 early stage ER + /HER2- breast cancer patients and validated them in the METABRIC dataset. Multispectral fluorescence in situ hybridization (Multiplex-FISH) was used to evaluate the ITH of 6 CTC genomic regions in primary tumors. The expression-based model strongly correlated with Oncotype DX, while the copy number-based model achieved a moderate correlation. Both models were able to predict long-term recurrence free survival in METABRIC. Higher CTC signature ITH was associated with increased Oncotype DX risk and higher overall grade. These findings highlight the value of our CTC signature in disease progression and the role of ITH on recurrence risk.

Identifiers

PMID41398178
PMCPMC12800032

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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.