Malaria driven mechanisms shaping cancer risk and aggressiveness in African populations.

Magdalene Eno Udobi; Mercy Bella-Omunagbe; Paul Etim Effiong; Israel Sunmola Afolabi; Shalom Nwodo Chinedu

doi:10.1016/j.ctarc.2026.101210

Home/Archive/PubMed

PubMed · 42190523

Malaria driven mechanisms shaping cancer risk and aggressiveness in African populations.

Magdalene Eno Udobi·Mercy Bella-Omunagbe·Paul Etim Effiong·Israel Sunmola Afolabi·Shalom Nwodo Chinedu

View original source ↗Export metadata ↓

Abstract

Malaria and cancer represent intersecting public health challenges in sub-Saharan Africa, where malaria remains endemic and cancer incidence is rapidly increasing. Emerging evidence indicates that chronic or recurrent malaria infection may influence carcinogenesis and tumour aggressiveness through complex biological mechanisms. This narrative review critically synthesizes data from PubMed, Scopus, and Web of Science to elucidate the mechanistic intersections between malaria and cancer risk, progression, and therapeutic response. The review highlights five principal axes linking malaria to oncogenesis: malaria-induced oxidative stress and chronic inflammation driving genomic instability; gut microbiome dysbiosis altering systemic immunity and tumour microenvironment; exploitation of shared molecular targets such as the endothelial protein C receptor (EPCR) and oncofetal chondroitin sulfate by Plasmodium parasites and cancer cells; cooperative interactions between malaria and oncogenic viruses like Epstein-Barr virus in lymphomagenesis; and malaria-associated vitamin D deficiency impairing immune surveillance. Furthermore, pharmacological evidence reveals that several antimalarial agents, including artemisinin derivatives, chloroquine, and quinacrine, possess anticancer properties, while some anticancer drugs exhibit antimalarial activity, underscoring opportunities for dual-action or repurposed therapeutics. The convergence of malaria and cancer biology underscores the urgent need for integrative, multidisciplinary research spanning molecular epidemiology, immunology, and pharmacology. Unveiling these mechanisms may unveil novel biomarkers and therapeutic targets, guiding context-specific interventions to reduce the disproportionate cancer burden in malaria-endemic African populations.

Explore related subjects

Humans Neoplasms Malaria Antimalarials Tumor Microenvironment Chronic inflammation Drug repurposing Infection-associated carcinogenesis Molecular oncology Tumor microenvironment Journal Article Review Research Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Magdalene Eno Udobi, Mercy Bella-Omunagbe, Paul Etim Effiong, Israel Sunmola Afolabi, Shalom Nwodo Chinedu. 2026-04-19. Malaria driven mechanisms shaping cancer risk and aggressiveness in African populations.. https://doi.org/10.1016/j.ctarc.2026.101210

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2027

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

PubMed2027

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

PubMed2027

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗