Evidence map›Paper›PMID 40795951›Full record

ArticleNeuro-oncology2025

STAT3 expression in brain metastases from breast cancer is correlated with molecular subtype and impacts clinical outcome.

Alessia Pellerino, Neibla Priego, Luca Bertero, Alessia Andrea Ricci, Luca Mangherini, Francesco Bruno, Alessandra Beano, Gloria Mittica, Marinella Mistrangelo, Diego Garbossa and 6 more

Abstract read
In one paragraph

Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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

4 citing papers in PubMed.

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4 · The record

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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.

Alessia PellerinoDivision of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini," University and City of Health and Science Hospital, Turin, Italy.ORCID 0000-0003-3243-0059
Neibla PriegoSpanish National Cancer Research Centre (CNIO), Madrid, Spain.ORCID 0000-0002-2587-0104
Luca BerteroPathology Unit, Department of Medical Sciences, University and City of Health and Science Hospital, Turin, Italy.ORCID 0000-0001-9887-7668
Alessia Andrea RicciPathology Unit, Department of Medical Sciences, University and City of Health and Science Hospital, Turin, Italy.ORCID 0000-0002-3989-0501
Luca MangheriniPathology Unit, Department of Medical Sciences, University and City of Health and Science Hospital, Turin, Italy.ORCID 0000-0001-8675-525X
Francesco BrunoDivision of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini," University and City of Health and Science Hospital, Turin, Italy.ORCID 0000-0001-8087-5293
Alessandra BeanoBreast Medical Oncology, Department of Oncology, City of Health and Science Hospital, Turin, Italy.
Gloria MitticaBreast Medical Oncology, Department of Oncology, City of Health and Science Hospital, Turin, Italy.
Marinella MistrangeloBreast Medical Oncology, Department of Oncology, City of Health and Science Hospital, Turin, Italy.
Diego GarbossaNeurosurgery Unit, Department of Neuroscience "Rita Levi Montalcini," University and City of Health and Science Hospital, Turin, Italy.ORCID 0000-0002-2692-7133
Joaquim Bosch-BarreraDepartment of Medical Sciences, Medical School, University of Girona, Girona, Spain.ORCID 0000-0002-0893-7821
Paola CassoniPathology Unit, Department of Medical Sciences, University and City of Health and Science Hospital, Turin, Italy.ORCID 0000-0003-1977-7410
RENACER
Manuel ValienteSpanish National Cancer Research Centre (CNIO), Madrid, Spain.ORCID 0000-0002-0647-7542
Riccardo SoffiettiCandiolo Cancer Institute, FPO-IRCCS, Candiolo (Turin), Italy.ORCID 0000-0002-9204-7038
Roberta RudàDivision of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini," University and City of Health and Science Hospital, Turin, Italy.ORCID 0000-0001-9134-1537

Funding

ERC CoG
6 · The paper itself

Abstract

backgroundA high pSTAT3 expression in reactive astrocytes surrounding brain metastases (BrM) promotes tumor growth in preclinical models. The impact of STAT3 expression on outcome of patients with BrM from breast cancer is unknown.

methodsThe expression of pSTAT3 in reactive astrocytes of 100 resected BrM from breast cancer was investigated by immunohistochemistry and correlated with molecular subtypes, risk of intracranial recurrence and progression-free survival. To explore whether clinical findings could be replicated in preclinical models, we used two human BrM cell lines (triple-negative MDA231 and HER2-positive HCC1954-), and evaluated pSTAT3 expression on established BrM.

resultsHigh pSTAT3 expression in reactive astrocytes was detected in 57% of BrM, and prevailed in triple-negative (80.9%) over HER2-positive (43.2%) and luminal (33.3%) metastases (P = .002). A different pSTAT3 expression was confirmed in animal models: as it was detected in 50% of reactive astrocytes in triple-negative MDA231 BrM lesions compared with 13% in HER2-positive HCC1954-BrM lesions (P = .0001). Patients with high pSTAT3 expression in BrM displayed higher intracranial recurrence rate (66.7 vs 33.3%) (P = .0353), and shorter intracranial PFS (9 months vs 28 months) (P = .0002), and this finding was significant for triple-negative patients only (P = .0008).

conclusionsThis study indicates that STAT3 expression prevails in reactive astrocytes surrounding triple-negative BrM in comparison to HER2-positive and luminal BrM, and these findings mirror those observed in animal models. A high STAT3 expression correlates with higher risk of intracranial recurrence and shorter progression-free survival, particularly in patients with triple-negative BrM.

Indexed as

Biomarkers, TumorBrain NeoplasmsBreast NeoplasmsNeoplasm Recurrence, LocalSTAT3 Transcription FactorAdultAgedAnimalsAstrocytesErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHumansMiceMiddle AgedPrognosisBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesSTAT3 protein, humanSTAT3 Transcription Factorbrain metastasesbreast cancerreactive astrocytessilibininSTAT3 expression

Identifiers

PMID40795951
PMCPMC12916724

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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.