Nature CommunicationsGenomicsPeer-reviewed journal article
Whole-genome analysis of Nigerian patients with breast cancer reveals ethnic-driven somatic evolution and distinct genomic subtypes
Naser Ansari‐PouriD, Yonglan ZhengiD, Toshio F. YoshimatsuiD, Ayodele Sanni, Mustapha AjaniiD, Jean-Baptiste Reynier, Avraam TapinosiD, Jason J. PittiD, Stefan C. DentroiD, Anna Woodard, Padma Sheila RajagopaliD, Dominic FitzgeraldiD, Andreas J GruberiD, Abayomi OdetundeiD, Abiodun Olaniyi PopoolaiD, Adeyinka Gladys FalusiiD, Chinedum Peace BabalolaiD, Temidayo Olusade OgundiraniD, Nasiru Akanmu Ibrahim, Jordi G BarretinaiD, Peter Van LooiD, Mengjie CheniD, Kevin P. WhiteiD, Oladosu Akanbi OjengbedeiD, John Oladapo ObafunwaiD, , Olufunmilayo Ibironke OlopadeiD
Abstract
Black women of African ancestry experience more aggressive breast cancer with higher mortality rates than White women of European ancestry. Although inter-ethnic germline variation is known, differential somatic evolution has not been investigated in detail. Analysis of deep whole genomes of 97 breast tumors, with RNA-seq in a subset, from indigenous African patients in Nigeria in comparison to The Cancer Genome Atlas (n=76) revealed a higher rate of genomic instability and increased intra-tumoral heterogeneity as well as a unique genomic subtype defined by early clonal GATA3 mutations and a 10.5-year younger age at diagnosis. We also found evidence for non-coding mutations in two novel drivers (ZNF217 and SYPL1) and a novel INDEL signature strongly associated with African ancestry proportion. This comprehensive analysis of an understudied population underscores the need to incorporate diversity of genomes as a key parameter in fundamental research with potential to tailor clinical intervention and promote equity in precision oncology care.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: differential expression
- approach: statistical model
- Citations
- 66
- FWCI
- 3.58
- Field percentile
- top 4%
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