ArticleGenome medicine2021
Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study.
Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01956552 (Changes in Phenotype and Genotype of Breast Cancers During the Metastatic Process and Optimization of Therapeutic Targeting), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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.
Changes in Phenotype and Genotype of Breast Cancers During the Metastatic Process and Optimization of Therapeutic Targeting
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Discordance of PIK3CA mutational status between primary and metastatic breast cancer: a systematic review and meta-analysis.Breast cancer research and treatment · 2023Pooled it
- Somatic Mutation Profiling and Therapeutic Landscape of Breast Cancer in the MENA Region.Cells · 2025Article
- Copy number alterations in metastatic and early breast tumours: prognostic and acquired biomarkers of resistance to CDK4/6 inhibitors.British journal of cancer · 2024Article
- Identification of biomarker associated with Trop2 in breast cancer: implication for targeted therapy.Discover oncology · 2024Article
- The prognosis of patients treated with everolimus for advanced ER-positive, HER2-negative breast cancer is driven by molecular features.The journal of pathology. Clinical research · 2024Article
- SF3B1 hotspot mutations confer sensitivity to PARP inhibition by eliciting a defective replication stress response.Nature genetics · 2023Article
- Utilizing cell-free DNA to predict risk of developing brain metastases in patients with metastatic breast cancer.NPJ breast cancer · 2023Article
- Survival analysis and prognosis of patients with breast cancer with pleural metastasis.Frontiers in oncology · 2023Article
- HRDrugs in context · 2023Review
- Next-generation sequencing in breast pathology: real impact on routine practice over a decade since its introduction.Histopathology · 2023Review
- Article
- Immune response pathways enriched in breast cancer samples with brain metastasis.Gland surgery · 2021Article
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Authors and funding
24 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrognosis evaluation of advanced breast cancer and therapeutic strategy are mostly based on clinical features of advanced disease and molecular profiling of the primary tumor. Very few studies have evaluated the impact of metastatic subtyping during the initial metastatic event in a prospective study. The genomic landscape of metastatic breast cancer has mostly been described in very advanced, pretreated disease, limiting the findings transferability to clinical use.
methodsWe developed a multicenter, single-arm, prospective clinical trial in order to address these issues. Between November 2010 and September 2013, 123 eligible patients were included. Patients at the first, untreated metastatic event were eligible. All matched primary tumors and metastatic samples were centrally reviewed for pathological typing. Targeted and whole-exome sequencing was applied to matched pairs of frozen tissue. A multivariate overall survival analysis was performed (median follow-up 64 months).
resultsPer central review in 84 patients (out of 130), we show that luminal A breast tumors are more prone to subtype switching. By combining targeted sequencing of a 91 gene panel (n = 67) and whole-exome sequencing (n = 30), a slight excess of mutations is observed in the metastases. Luminal A breast cancer has the most heterogeneous mutational profile and the highest number of mutational signatures, when comparing primary tumor and the matched metastatic tissue. Tumors with a subtype change have more mutations that are private. The metastasis-specific mutation load is significantly higher in late than in de novo metastases. The most frequently mutated genes were TP53 and PIK3CA. The most frequent metastasis-specific druggable genes were PIK3CA, PTEN, KDR, ALK, CDKN2A, NOTCH4, POLE, SETD2, SF3B1, and TSC2. Long-term outcome is driven by a combination of tumor load and metastasis biology.
conclusionsProfiling of the first, untreated, metastatic event of breast cancer reveals a profound heterogeneity mostly in luminal A tumors and in late metastases. Based on this profiling, we can derive information relevant to prognosis and therapeutic intervention, which support current guidelines recommending a biopsy at the first metastatic relapse.
trial registrationThe trial was registered at ClinicalTrials.gov ( NCT01956552 ).
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