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Main results of the study. CW: community workers. HCP: healthcare professionals. MW: migrant women.
Source publication
Objective
To explore the perceptions of migrant women, healthcare professionals and community workers regarding migrant women’s knowledge and attitudes about cervical cancer (CC) and screening and how these influence cervical cancer screening (CCS) uptake.
Design
Qualitative study with seven focus groups, using a semistructured guide.
Setting
Fiv...
Context in source publication
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Citations
... Despite having highly effective screening and prevention methods, cervical cancer continues to be a significant global health burden, with each year over 600,000 new cases and 340,000 deaths reported worldwide. The disease remains a leading cause of cancer-related mortality worldwide, and while advances in screening and early diagnosis have improved prognosis, it continues to disproportionately affect underserved populations, especially in low-to middle-income countries [1][2][3][4]. Deciphering the intricate relationships between the neoplasm and its surrounding microenvironment is essential to innovating potent therapeutic schemes and enhancing patient prognostics. ...
Cervical cancer is still a major public health problem, and understanding the complex interplays in the tumor microenvironment is essential to implementing better clinical outcome measures. In this study, we used a Mendelian Randomization-based strategy to assess the causal roles of immune cell composition and disease prognosis in cervical cancer.
The authors employed genetic natural experiments to measure the relationship between monocyte absolute counts, CD4-CD8-T cell ratios, and CD24 levels on memory B cells and indicators of cervical cancer prognosis.
Mendelian Randomization analysis showed that higher monocyte absolute counts were associated with a better prognosis, implying a protective role of these cells. In contrast, compared to individuals with good prognosis, high CD4-CD8-T cell ratios and low CD24 expression on memory B cells associated with bad prognosis suggest a risk-promoting role of these immune cell subsets. These observations were also further supported by additional analyses, such as scatter plots and linear regression models, which revealed further nuances in the intricate relationship between the immune microenvironment and the disease.
Our study utilizing the Mendelian Randomization approach provides novel insights into the causal relationships between the immune microenvironment of cervical cancer and its prognosis. The identified immune cell markers (monocyte counts, T cell ratios) have the potential to serve as prognostic biomarkers and to inform the design of targeted immunotherapeutic approaches in cervical cancer.
