Nyasha Chambwe

Endometrial cancer survival disparities in women of African ancestry persist beyond clinical, molecular, and socioeconomic determinants

This study examines endometrial cancer survival disparities between Black and White women, finding that African ancestry is independently associated with worse progression-free survival after adjusting for socioeconomic, clinical, and molecular factors.

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

This study characterizes the molecular differences in high-grade endometrial cancer across an ancestrally diverse cohort, identifying ancestry-associated mutations and immune microenvironment differences.

Cellular heterogeneity and therapeutic response profiling of human IDH+ glioma stem cell cultures

This paper characterizes IDH+ glioma stem cell cultures to model GBM biology and therapeutic response, showing reproducible survival curves and methods to track cellular heterogeneity.

African Pan Genome Contigs Expose Biologically Relevant Sequence Still Hidden from Human Reference Frameworks

The paper identifies African Pan Genome contigs that are missing from current human reference genomes, showing they contain functionally relevant sequences and are enriched in African ancestry.

Active learnings impact on student course performance in STEM varies by type and intensity

This study updates a meta-analysis showing active learning improves STEM student exam scores by 0.519 standard deviations, with higher intensity and varied types showing more effectiveness.

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

The paper identifies ancestry-specific meQTLs influencing immune function in a breast cancer cohort, showing their impact on gene regulation and immune response.

Accurate and robust inference of genetic ancestry from cancer-derived molecular data across genomic platforms

This study develops a data synthesis framework to accurately infer genetic ancestry from cancer-derived molecular data across genomic platforms, showing high accuracy across different sequencing depths and modalities.

SL-Cloud: A Computational Resource to Support Synthetic Lethal Interaction Discovery

SL-Cloud is a cloud-based resource that facilitates the prediction and comparison of context-specific synthetic lethal interactions using multi-omic datasets.