Examining India's Breast Cancer Mortality Incidence Disparities and 3D Bioprinting's Potential
Year: 2025
Type: article
Abstract: Breast cancer continues to be the most often diagnosed malignancy among Indian women and a significant factor in cancer-related mortality. This study examines the reasons behind India's persistently elevated breast cancer mortality rates, despite increasing awareness and enhancements in healthcare infrastructure. Utilizing GLOBOCAN 2022 data, we examined age-stratified incidence and death trends and performed a Pareto analysis to determine the age groups that significantly impact the national illness burden. A comparative descriptive analysis of Mortality-to-Incidence Ratios (MIR) across India, North America, the United Kingdom, and South Korea was conducted to investigate global differences in cancer outcomes. The results show that women aged 35 to 79 make up the vast majority of breast cancer deaths in India. The MIR goes up continuously with age, which shows that there are long delays in finding the disease, unequal access to modern treatments, and ongoing problems with cancer registry reporting. The three high-income regions, on the other hand, had much lower MIR values. This shows how well systematic screening, early diagnosis, and integrated care pathways work, even though they are not yet fully in place in India. Pareto study showed that 85% of breast cancer diagnoses and deaths come from three main age categories: 35–49, 50–64, and 65–79. This shows which groups should be the focus of national screening and intervention programs. The paper also talks about the new possibilities of 3D bioprinting, which may make tumor models that are physiologically realistic, drug screening with high accuracy, and individualized solutions for reconstructive surgery after a mastectomy. Combining these biotechnological developments with public health policies could help India lower its breast cancer burden and make sure that everyone has better clinical results.
Authors: Meghala Rajeev, Pooja Bachani
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7118132278