Biology subjects

Founta, K.

Publications and source records attributed to Founta, K..

3 recordsLinked to original sources

bioRxiv2026

Comprehensive Molecular Characterization of High-Grade Endometrial Cancer in an Ancestrally-Diverse Cohort

Endometrial cancer (EC) exhibits one of the most striking racial disparities in oncology with black women disproportionately affected by aggressive high-grade subtypes that have poorer outcomes. While social and environmental factors undoubtedly contribute, the molecular underpinnings of these disparities remain critically understudied. To bridge this knowledge gap, we performed matched tumor-normal whole-genome sequencing and tumor transcriptome sequencing on 71 predominantly high-grade EC patient samples from an ancestrally diverse cohort of women recruited at a large hospital system in the New York metropolitan area. Our analysis characterized the germline and somatic mutation landscape, identifying ancestry-associated molecular differences. Notably, focal amplification of the EVI1 transcription factor (encoded at the MECOM locus) was significantly more frequent in African ancestry patients and associated with poorer clinical outcomes in an external validation cohort. Additionally transcriptome analysis revealed decreased CD8+ T cell infiltration with increasing African ancestry, suggesting tumor immune microenvironment differences with potential therapeutic implications. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=163 SRC="FIGDIR/small/721962v1_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@12125b9org.highwire.dtl.DTLVardef@133c787org.highwire.dtl.DTLVardef@707af0org.highwire.dtl.DTLVardef@97615c_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIThis study represents the most ancestrally diverse whole-genome sequencing characterization of high-grade endometrial cancer, with 62% of patients of African ancestry. C_LIO_LIMECOM focal amplification preferentially targets the oncogenic short isoform (EVI1) and is more frequent in patients of African ancestry. C_LIO_LIAfrican ancestry is associated with reduced CD8+ T cell infiltration and differential activation of immune and metabolic pathways in copy-number high endometrial tumors. C_LI

cancer biology↗

bioRxiv2025

Uncovering Functional Sequence Gaps in Human Reference Genomes using African Pan Genome Contig Sequences

Human reference genomes underpin biomedical discovery but remain incomplete and biased toward European populations, constraining interpretation of genetic variation in underrepresented populations. Here we characterize African Pan Genome (APG) contigs totaling 296.5 Mb to define the sequence and functional landscape of genomic regions absent from current references. Most contigs align to the telomere-to-telomere (T2T-CHM13) genome and across 47 haplotype-resolved Human Pangenome Reference Consortium (HPRC) assemblies, with T2T-CHM13 placements enriched in centromeric and satellite repeats and overlapping 373 genes, including disease-associated loci. Mapping across HPRC assemblies revealed ancestry-associated contig enrichment, particularly in African genomes. Notably, 742 contigs remained unmapped under both stringent and relaxed criteria. These sequences are largely nonrepetitive and exhibit strong functional potential, including predicted protein-coding genes, CpG islands and transcriptional activity. Together, these results demonstrate that functionally relevant, ancestry-enriched genomic sequences remain absent from current references, with important implications for disease variant interpretation and precision medicine.

genomics↗

bioRxiv2024

Genetic ancestry-specific meQTLs control immune function regulation in a breast cancer cohort of African and European patients

We explored the impact of genetic ancestry on DNA methylation (DNAm) in African and European ancestry breast cancer patients. Analyzing data from 578 subjects in The Cancer Genome Atlas (TCGA) cohort, we identified 757 differentially methylated sites associated with genetic ancestry (aDMS). Methylation quantitative trait loci (meQTL) mapping showed that the majority of aDMS are regulated by multiple SNPs differentially prevalent by ancestry. Notably, expression quantitative methylation (eQTM) mapping linked 95% of aDMS to local gene expression, indicating potential impact on gene regulation. Furthermore, 72% of ancestry eQTMs were regulated by meQTLs, underscoring the genetic regulation of DNAm variation affecting the transcriptome. Immune response regulation, particularly involving HLA genes, was the most enriched process among ancestry eQTMs. Additionally, 31% of differentially expressed genes between groups defined by genetic ancestry were under ancestry eQTM control. These findings highlight the gene regulatory potential of ancestry-associated DNAm and its importance in population-specific analyses.

cancer biology↗