Current Pharmacogenomics and Personalized Medicine (Formerly Current Pharmacogenomics) - Current Issue

Chemoresistance is one of the leading causes of chemotherapy failure among cancer patients. Out of several hypotheses proposed for chemoresistance, bacteria-mediated chemoresistance to cancer drugs has not been well established. Thus, the aim of this review is to map the pathways by which bacteria exhibit chemoresistance in specific cancers.

Relevant articles on bacteria-mediated chemoresistance in cancer were retrieved by conducting a systematic search across PubMed, Scopus and Web of Science databases. The search was limited to English original articles published until 15^th December 2023.

A total of nine articles were included to map the pathways involved in chemoresistance. Numerous pathways have been connected to various forms of cancer, such as autophagy pathway in colorectal and esophageal cancers by Fusobacterium nucleatum causing oxaliplatin and 5-FU resistance; DNA damage response pathway also by Fusobacterium nucleatum promoting CDDP resistance in esophageal cancer; Porphyromonas gingivalis led to oral and esophageal cancer resistance to paclitaxel via JAK/STAT pathway. NF-κB pathway involved in gastric cancer in the presence of Helicobacter pylori towards cisplatin, and also 5-FU resistance via the apoptotic pathway. Cellular metabolism modulation by Lactobacillus iners was also implicated in cervical cancer chemoresistance.

We conclude that bacteria can mediate chemoresistance not merely to antibiotics but also to anticancer drugs. Thus, a detailed understanding of the pathways associated with chemoresistance mediated via bacteria might help in targeting these pathways or antibiotics to prevent bacterial growth could help overcome resistance.

The polymorphism rs4444903 of the Epidermal Growth Factor gene (EGF A61G) causes differences in the EGF serum levels. It has become a biomarker for genetic susceptibility to cancer and a pharmacogenomic marker for therapies involving the EGF/EGF-receptor pathway.

The present study aimed to characterize the allele and genotype frequencies of the rs4444903 in a Cuban sample and its relationship to a specific genetic ancestry.

A cross-sectional study was carried out. Genomic data was collected from a dense genome-wide genotyping array analysis of 948 Cubans from all provinces. The allele and genotype frequencies of the rs4444903 were calculated. Analysis of ancestry-related allelic/genotypic differences was performed.

The frequencies for both alleles were found to be very similar (0.52 for G vs. 0.48 for A allele), and genotype frequencies were 24.3%, 47.9%, and 27.8% for AA, AG, and GG, respectively. Greater differences were found between Cuban provinces, with frequencies for the G allele ranging from 0.38 in Artemisa to 0.69 in Guantánamo and for the GG genotype from 14.29% in Mayabeque to 50.88% in Guantánamo. An increased African-ancestry proportion was related to a higher probability of carrying G allele and GG genotype, with a significant (p=0.0038, q=0.024) African-ancestry-enrichment pattern.

African ancestry seems to contribute to an increase in the EGF61*G allele in Cubans. Geographic patterns in admixture proportions for African and European ancestry are a determinant factor in the allelic and genotypic frequency differences between Cuban provinces. Such differences should be observed when designing association studies and implementing therapeutic approaches based on the EGF/EGF receptor pathway in Cuba.

The escalating challenge of multidrug resistance among ESKAPE pathogens has become a prominent concern for global healthcare providers, leading to amplified morbidity and mortality rates.

We conducted this study to elucidate the genetic architecture of ESKAPE constituents with the intent of ameliorating pathogenicity and facilitating drug development efforts. A comprehensive array of computational tools and statistical methodologies were employed to scrutinize the genomes of ESKAPE pathogens.

Translational selection profoundly influences the codon usage bias within this pathogenic cohort. Notably, leucine emerged as the predominant amino acid, except in the case of Acinetobacter baumannii, where arginine exhibited preeminence. There was a universal preference for at least one histidine codon across all ESKAPE pathogens. GpC emerged as the most prominently overrepresented dinucleotide at the codon pair junction in all ESKAPE pathogens. Furthermore, a comparison of gyrB gene sequences and phylogenic tree construction showed a distinct evolutionary relationship between AT-rich and GC-rich ESKAPE pathogens. Additionally, identification, characterization, and phylogenetic analysis of multiple antibiotic resistance genes revealed distinct evolutionary relationships.

It was discerned that despite substantial variability amongst antibiotic resistance genes of pathogens, leucine emerged as the predominant amino acid.