Comprehensive mapping elucidates high risk genotypes in primary metastatic breast cancer
- Tobias Berg 1, Lise Ahlborn 2, Maj-Britt Jensen 3, Ann Søegaard Knoop 4, Bent Ejlertsen 5, Maria Rossing 6
- Tobias Berg 1, Lise Ahlborn 2, Maj-Britt Jensen 3
- 1Danish Breast Cancer Group, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
- 2Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
- 3Danish Breast Cancer Group, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
- 4Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
- 5Danish Breast Cancer Group, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
- 6Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
- 0Danish Breast Cancer Group, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
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View abstract on PubMed
Summary
This summary is machine-generated.Genomic profiling in primary metastatic breast cancer (pMBC) reveals targetable mutations. Early genetic analysis can guide personalized treatment strategies for improved patient outcomes.
Area Of Science
- Oncology
- Genomics
- Translational Research
Background
- Primary metastatic breast cancer (pMBC) presents unique challenges due to genomic heterogeneity.
- Understanding driver mutations is crucial for developing effective therapies.
Purpose Of The Study
- To conduct comprehensive gene mapping on pMBC tumors.
- To identify actionable biomarkers and their association with prognosis.
Main Methods
- Whole-genome sequencing of 203 pMBC tumor samples.
- Analysis of tumor mutational burden (TMB), PIK3CA, and TP53 mutations.
- Statistical analysis correlating genomic alterations with clinical outcomes.
Main Results
- 65% of tumors harbored actionable biomarkers, with PIK3CA mutations in 39% and TP53 mutations in 33%.
- TP53 mutations were linked to an increased risk of death (HR: 1.60).
- High tumor mutational burden (TMB) showed a trend towards poor prognosis but lacked statistical significance after adjustments.
Conclusions
- pMBC is driven by multiple targetable genetic mutations across subtypes.
- Genomic profiling is valuable for identifying patients eligible for individualized treatment.
- TMB may have a reduced prognostic value in this patient group.
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