Title: Racial disparities in breast cancer and effect of obesity: MammaPrint, BluePrint and whole transcriptome analyses of tumors in Latin American patients in FLEX trial

Publication: SABCS 2023, PS18-04

Authors

Marcela Mazo Canola, Virginia Kaklamani, Pooja P. Advani, Sailaja Kamaraju, Alfredo A. Santillan-Gomez, Robert Maganini, Julie L. Barone, Sahra Uygun, Lavanya Samraj, William Audeh, Joyce O’Shaughnessy, FLEX Investigators Group

Background

Latin Americans are more likely to be diagnosed with aggressive early-stage breast cancer compared to Non-Hispanic White. Multiple factors may contribute to this, including metabolic factors and ancestry. In a previous study, we identified upregulated immune pathway genes in Luminal B tumors from obese Black patients compared to matched White patients. In this study, we report clinical and transcriptomic profiles of breast tumors from Latin and White patients to enhance understanding of factors contributing to aggressive tumor biology in Latin patients.

Methods

We matched 311 Latin and 311 White breast cancer patients enrolled in FLEX by age, T stage, N stage and clinical subtype (ER/PR and HER2 status). FLEX (NCT03053193) is a prospective, observational trial that includes stage I-III breast cancer patients who receive MammaPrint (with or without BluePrint) as standard of care and consent to whole transcriptome and clinical data collection. MammaPrint is a 70-gene risk of distant recurrence signature that classifies patients as Low Risk or High Risk. BluePrint is an 80-gene molecular subtyping signature, categorizes tumors as Luminal-, HER2- or Basal-Type. MammaPrint further groups Luminal into A (Low Risk) and B (High Risk). ImPrint is a 53-gene signature that has been shown to predict the likelihood of achieving pCR with PD1-PDL1 immune checkpoint inhibitors. Statistical analyses on groups were conducted using arsenal R package and p-value <0.05 was considered significant. Whole transcriptome comparisons were made, using limma R package, between Latin and White patients stratified by BluePrint subtype Luminal and weight categories normal (body-mass-index (BMI) 18.5 to <25) and obese (BMI โ‰ฅ30). Significant differentially expressed genes had an adjusted p-value < 0.05. Gene set enrichment analysis (GSEA) was conducted using fgsea R package.

Results

Latin patients had significantly higher percentage of type 2 diabetes (23.3% vs 8.5%), BMI obese (49.0% vs 39.4%), BluePrint Basal (14.8% vs 9.3%) and ImPrint Immune Sensitive (12.0% vs 5.1%) compared to matched White patients. When comparing whole transcriptome of tumors from Latin and White patients, only tumors stratified by Luminal B and obesity resulted in differentially expressed genes: Latin patients had higher expression (>2-fold change) of 42 immunoglobulin genes compared to White, with only IGKV6-21 being statistically significant. Additional immune related genes such as IKZF1 and AGER, as well as UTS2 (gene encoding a vasoconstrictor agent and contributor of angiogenesis) were significantly upregulated in Latin patients. Upregulation of immune related pathways such as inflammatory response, interferon alpha/gamma response and downregulation of adipogenesis, oxidative phosphorylation and MYC targets were identified in Latin patients compared to White using GSEA Hallmarks gene sets.

Conclusions

There were additional clinical and genomic differences between tumors from Latin and White patients, even when controlling for age, T stage, N stage and clinical subtype. Particularly, there were more type 2 diabetes, BMI obese, BluePrint Basal, and ImPrint Immune Sensitive among Latin patients. In addition, transcriptomic differences between obese Latin and matched White patients were found in Luminal B subgroup that may contribute to the aggressive tumor biology; immunoglobulin genes and immune related pathways were associated with higher expression in Latin patients. This study suggests that biological differences in breast tumors, particularly from obese patients, may result from shared background and reflects the need for inclusion of diverse patient groups in clinical trials.