Evolutionary history of metastatic breast cancer reveals minimal seeding from axillary lymph nodes
Ikram Ullah1, Govindasamy-Muralidharan Karthik1, Amjad Alkodsi2
1Department of Oncology and Pathology, Karolinska Institute, Stockholm, Sweden.
Genomic analysis of metastatic breast cancer reveals diverse tumor evolution and seeding patterns. Axillary lymph node metastasis does not seed distant sites, suggesting hematogenous spread and highlighting evolving APOBEC-associated mutagenesis.
Area of Science:
- Oncology
- Genomics
- Cancer Evolution
Background:
- Metastatic breast cancer remains incurable, necessitating a deeper understanding of tumor progression.
- Characterizing the evolutionary dynamics of metastasis is crucial for developing effective treatments.
Purpose of the Study:
- To investigate the genomic evolutionary landscape of metastatic breast cancer.
- To determine the role of axillary lymph nodes (ALNs) in seeding distant organ metastasis.
- To elucidate evolving mutational processes during cancer progression.
Main Methods:
- Comprehensive genomic analysis of primary tumors and metastatic lesions from 20 breast cancer patients (99 samples).
- Evolutionary modeling to infer tumor spreading and seeding patterns.
- Analysis of mutational processes, including APOBEC-associated mutagenesis.
Main Results:
- Identified diverse evolutionary patterns, including linear and parallel evolution to distant metastatic sites.
- Demonstrated polyclonal seeding, with multiple subclones originating from primary tumors and/or metastases.
- Found that synchronous ALN metastasis does not contribute to distant seeding, suggesting hematogenous dissemination.
- Observed co-occurrence of clonal evolution with new driver alterations and increased APOBEC-associated mutagenesis.
Conclusions:
- Axillary lymph node metastasis is not a significant route for seeding distant organ metastasis in breast cancer.
- Hematogenous spread is a primary mechanism for distant cancer dissemination.
- Genomic evolution during metastasis involves changing mutational landscapes and driver alterations.
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