Evidence map›Paper›PMID 39478414›Full record

ArticleHistopathology2025

Evaluation of breast-specific marker expression in metastatic breast cancers: Correlation with subtype switch.

Ronald Chan, Howard Leung, Joshua Li, Ivan Poon, Julia Y Tsang, Chun-Wai Ko, Ngou-Men Wong, Gary M Tse

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In one paragraph

Article in Histopathology, 2025. 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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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ronald ChanDepartment of Anatomical and Cellular Pathology and State Key Laboratory of Translational Oncology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-9267-0076
Howard LeungDepartment of Anatomical and Cellular Pathology and State Key Laboratory of Translational Oncology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-9930-1783
Joshua LiDepartment of Anatomical and Cellular Pathology and State Key Laboratory of Translational Oncology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0003-2425-0314
Ivan PoonDepartment of Anatomical and Cellular Pathology and State Key Laboratory of Translational Oncology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.
Julia Y TsangDepartment of Anatomical and Cellular Pathology and State Key Laboratory of Translational Oncology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-6612-9622
Chun-Wai KoDepartment of Anatomical and Cellular Pathology and State Key Laboratory of Translational Oncology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.
Ngou-Men WongDepartment of Anatomical and Cellular Pathology and State Key Laboratory of Translational Oncology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.
Gary M TseDepartment of Anatomical and Cellular Pathology and State Key Laboratory of Translational Oncology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0002-9405-9665

Funding

Cheng Yue Pui Foundation
6 · The paper itself

Abstract

aimsThis study evaluates the utility of breast specific markers in identifying breast cancer subtypes within metastatic settings. The subtype alteration in metastatic disease and its consequent impact on breast-specific marker expression is also examined. MATERIALS AND

methodsGATA-binding protein 3 (GATA3), mammaglobin (MMG), transcriptional repressor GATA binding 1 (TRSP1) and SRY-box transcription factor 10 (SOX10) expression were assessed in a large cohort of metastatic breast cancer (MBC) cases and correlated with the characteristics of both MBC and primary breast cancer (PBC).

resultsGATA3 was the most sensitive in MBC (83.1%), followed by TRPS1 (77.0%), MMG (58.5%) and SOX10 (7.1%). This trend was consistent in hormonal receptor (HR)+ and HR- MBC. Combining GATA3/TRPS1 yielded the highest detection rates in the overall cohort (90.1%) and HR+ MBC (97.1%), while TRSP1/MMG was most effective in HR- (76.2%) and TN (71.1%) MBC. Marker expression did not correlate with metastatic site, except SOX10 in lung metastases (P = 0.031). Subtype discordance between MBC and PBC occurred in 43 cases (24.4%), with GATA3 expression in HR- MBC significantly linked to subtype discordance (P = 0.005). Conversely, SOX10 expression was significantly associated with subtype concordance in HR- and TNBC (P ≤ 0.003). Despite a higher expression of GATA3 in all HR- cases, TRSP1 outperformed GATA3 in detecting concordant HR- cases (64.0% versus 38.5%). TRPS1 and SOX10 were expressed in more than 50% of concordant TNBC cases.

conclusionsThe expression of breast-specific markers is mainly determined by the PBC subtype. GATA3 retains high sensitivity in HR+ cancers, even after HR loss during metastasis. TRPS1 and SOX10 are identified as valuable markers in TNBC metastasis.

Indexed as

Biomarkers, TumorBreast NeoplasmsAdultAgedAged, 80 and overDNA-Binding ProteinsFemaleGATA3 Transcription FactorHumansMammaglobin AMiddle AgedNeoplasm MetastasisRepressor ProteinsSOXE Transcription FactorsBiomarkers, TumorDNA-Binding ProteinsGATA3 protein, humanGATA3 Transcription FactorMammaglobin ARepressor ProteinsSOX10 protein, humanSOXE Transcription FactorsTRPS1 protein, human

Identifiers

PMID39478414
PMCPMC11791740

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.