Keyword: Cancer

ABSTRACT: Type 2 diabetes mellitus is associated with an increased risk of several malignancies, prompting interest in the potential oncologic effects of antidiabetic therapies, particularly metformin. This study evaluated cancer-related adverse event reporting associated with metformin compared with other antidiabetic agents using real-world pharmacovigilance data from the FDA Adverse Event Reporting System (FAERS) between Q1 2023 and Q4 2024. A disproportionality analysis was conducted on over 3.2 million reports, including 66,187 metformin cases and 55,257 comparator cases comprising GLP-1 receptor agonists, SGLT2 inhibitors, sulfonylureas, and insulin. Reporting odds ratios (ROR), proportional reporting ratios (PRR), information components (IC), and chi-squared tests were applied across twelve pre-specified cancer types.
Metformin was associated with significantly lower reporting of hepatocellular carcinoma (ROR 0.377, 95% CI 0.181–0.782) and pancreatic carcinoma (ROR 0.669, 95% CI 0.493–0.908). In contrast, increased reporting signals were observed for prostate cancer (ROR 2.065, 95% CI 1.435–2.972), leukaemia (ROR 2.388, 95% CI 1.155–4.939), and breast cancer (ROR 1.404, 95% CI 1.023–1.926). Drug-specific comparisons indicated relatively lower overall cancer reporting for metformin compared with sitagliptin and empagliflozin, but higher reporting compared with insulin. Temporal analyses demonstrated variability in reporting patterns across study quarters.
These findings represent disproportionality signals reflecting reporting associations rather than causal effects and may be influenced by reporting bias, residual confounding, and differences in healthcare utilization. Overall, the results suggest a heterogeneous, cancer-type-specific reporting profile for metformin and highlight the value of pharmacovigilance analyses in generating real-world safety signals. Further confirmation in prospective and mechanistic studies is required.

ABSTRACT: Cervical cancer remains a leading cause of cancer-related mortality in Sub-Saharan Africa, where it disproportionately affects women due to late-stage diagnoses. Despite the availability of preventive measures such as screening and HPV vaccination, uptake remains critically low. This systematic review and meta-analysis aimed to estimate the pooled prevalence and identify key predictors of cervical cancer screening uptake across Sub-Saharan Africa. A comprehensive search of databases including PubMed, Google Scholar, African Journal Online (AJOL) and ScienceDirect identified 27 studies involving a total of 357,586 women. Our results revealed that the overall prevalence of cervical cancer screening uptake was 21.2% (95% CI: 16.2%, 27.2%). Key predictors of uptake included education, healthcare access, awareness of cervical cancer, age, and integration with other health services like HIV care. This study underscores the urgent need for tailored interventions to address barriers such as lack of awareness, financial constraints, and cultural stigma. The findings provide crucial evidence to guide policy and public health strategies aimed at increasing screening rates and reducing the cervical cancer burden in the region.

ABSTRACT: Spatial tumour heterogeneity, which denotes the changes in cellular and molecular attributes across distinct locations within a tumour, significantly influences cancer diagnosis and treatment resistance. The heterogeneity of tumour cells inside a singular mass facilitates tumour development, metastasis, and the ineffectiveness of standard therapy. Comprehending the geographical distribution of tumour cells is crucial for formulating more efficient treatment regimens. Diverse methodologies are employed to investigate spatial heterogeneity, encompassing modern imaging techniques such as MRI, PET, and multiplexed imaging, alongside omics approaches including genomes, transcriptomics, and proteomics. These instruments offer insights into the tumour microenvironment and facilitate the identification of resistant subpopulations. The amalgamation of imaging and genomic data via radiogenomics has emerged as a viable methodology, providing an extensive perspective on the spatial and molecular intricacies of tumours. Principal findings reveal that spatial heterogeneity fosters medication resistance by establishing microenvironments characterised by varying oxygen levels, immunological infiltration, and genetic alterations, hence complicating the efficacy of monotherapy strategies. Hypoxic environments and immunological evasion significantly contribute to treatment resistance. Addressing geographical heterogeneity has the potential to enhance cancer treatments. By analysing the molecular and geographical characteristics of tumours, physicians can customise therapies more efficiently, minimising resistance and improving therapeutic results. This methodology signifies a vital advancement in precision medicine, providing more individualised and efficacious cancer therapies in the future.