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The molecular landscape of Asian breast cancers reveals clinically relevant population-specific differences

Molecular profiling of breast cancer has enabled the development of more robust molecular prognostic signatures and therapeutic options for breast cancer patients. However, non-Caucasian populations remain understudied. Here, we present the mutational, transcriptional, and copy number profiles of 56...

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Detalles Bibliográficos
Autores principales: Pan, Jia-Wern, Zabidi, Muhammad Mamduh Ahmad, Ng, Pei-Sze, Meng, Mei-Yee, Hasan, Siti Norhidayu, Sandey, Bethan, Sammut, Stephen-John, Yip, Cheng-Har, Rajadurai, Pathmanathan, Rueda, Oscar M., Caldas, Carlos, Chin, Suet-Feung, Teo, Soo-Hwang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755902/
https://www.ncbi.nlm.nih.gov/pubmed/33353943
http://dx.doi.org/10.1038/s41467-020-20173-5
Descripción
Sumario:Molecular profiling of breast cancer has enabled the development of more robust molecular prognostic signatures and therapeutic options for breast cancer patients. However, non-Caucasian populations remain understudied. Here, we present the mutational, transcriptional, and copy number profiles of 560 Malaysian breast tumours and a comparative analysis of breast cancers arising in Asian and Caucasian women. Compared to breast tumours in Caucasian women, we show an increased prevalence of HER2-enriched molecular subtypes and higher prevalence of TP53 somatic mutations in ER+ Asian breast tumours. We also observe elevated immune scores in Asian breast tumours, suggesting potential clinical response to immune checkpoint inhibitors. Whilst HER2-subtype and enriched immune score are associated with improved survival, presence of TP53 somatic mutations is associated with poorer survival in ER+ tumours. Taken together, these population differences unveil opportunities to improve the understanding of this disease and lay the foundation for precision medicine in different populations.