Does diabetes affect breast cancer survival?

OBJECTIVES: The objective of this study is to investigate the influence of diabetes on breast cancer-specific survival among women with breast cancer in Aotearoa/New Zealand. METHODS: This study included women diagnosed with invasive breast cancer between 2005 and 2020, with their information documented in the Te Rehita Mate Utaetae-Breast Cancer Foundation National Register. Breast cancer survival curves for women with diabetes and those without diabetes were generated using the Kaplan-Meier method. The hazard ratio (HR) of breast cancer-specific mortality for women with diabetes compared to women without diabetes was estimated using the Cox proportional hazards model. RESULTS: For women with diabetes, the 5-year and 10-year of cancer-specific survival were 87% (95% CI: 85%-88%) and 79% (95% CI: 76%-81%) compared to 89% (95% CI: 89%-90%) and 84% (95% CI: 83%-85%) for women without diabetes. The HR of cancer-specific mortality for patients with diabetes compared to those without diabetes was 0.99 (95% CI: 0.89-1.11) after adjustment for patient demographics, tumor characteristics, and treatments. Age at cancer diagnosis and cancer stage had the biggest impact on the survival difference between the two groups. When stratified by cancer stage, the cancer-specific mortality between the two groups was similar. CONCLUSIONS: While differences in survival have been identified for women with diabetes when compared to women without diabetes, these are attributable to age and the finding that women with diabetes tend to present with more advanced disease at diagnosis. We did not find any difference in survival between the two groups due to differences in treatment.

The growing cancer burden: Age-period-cohort projections in Aotearoa New Zealand 2020-2044.

BACKGROUND: Cancer is a major cause of premature death and inequity, and global case numbers are rapidly expanding. This study projects future cancer numbers and incidence rates in Aotearoa New Zealand. METHODS: Age-period-cohort modelling was applied to 25-years of national data to project cancer cases and incidence trends from 2020 to 2044. Nationally mandated cancer registry data and official historical and projected population estimates were used, with sub-groups by age, sex, and ethnicity. RESULTS: Cancer diagnoses were projected to increase from 25,700 per year in 2015-2019 to 45,100 a year by 2040-44, a 76% increase (2.3% per annum). Across the same period, age-standardised cancer incidence increased by 9% (0.3% per annum) from 348 to 378 cancers per 100,000 person years, with greater increases for males (11%) than females (6%). Projected incidence trends varied substantially by cancer type, with several projected to change faster or in the opposite direction compared to projections from other countries. CONCLUSIONS: Increasing cancer numbers reinforces the critical need for both cancer prevention and treatment service planning activities. Investment in developing new ways of working and increasing the workforce are required for the health system to be able to afford and manage the future burden of cancer.

Adipose derived stem cell extracellular vesicles modulate primary human macrophages to an anti-inflammatory phenotype in vitro.

EVs released by adipose derived stem cells (ADSCs) have shown promise as a therapeutic for tissue repair because of their purported immune-regulatory properties. Extracellular vesicles (EVs) from ADSCs could be beneficial in improving graft retention rates for autologous fat grafting (AFG) post-mastectomy as, currently, grafted tissue rates are variable. Enriching grafted tissue with ADSC-EVs may improve retention rates by modulating macrophages resident within both the breast and lipoaspirate. We aimed to identify key macrophage phenotypes that are modulated by ADSC-EVs in vitro. ADSCs were isolated from lipoaspirates of women undergoing AFG and characterised by flow cytometry and differentiation potential. ADSC-EVs were isolated from culture media and characterised by tuneable resistive pulse sensing, transmission electron microscopy and Western blot. Primary monocyte-derived macrophages were polarized to an M1-like (GM-CSF, IFNγ), M2-like phenotype (M-CSF, IL-4) or maintained (M0-like; M-CSF) and ADSC-EVs were co-cultured with macrophages for 48 h. Flow cytometry and high-dimensional analysis clustered macrophages post co-culture. A manual gating strategy was generated to recapitulate these clusters and was applied to a repeat experimental run. Both runs were analysed to examine the prevalence of each cluster, representing a unique macrophage phenotype, with and without ADSC-EVs. Following the addition of ADSC-EVs, M0-like macrophages demonstrated a reciprocal shift of cell distribution from a cluster with a 'high inflammatory profile' (CD36+++CD206+++CD86+++; 16.5 ± 7.0%; p < 0.0001) to a cluster with a 'lower inflammatory profile' (CD36+CD206+CD86+; 35  ± 21.5%; p < 0.05). M1-like macrophages shifted from a cluster with a 'high inflammatory profile' (CD206++CD11b++CD36++CD163++; 26.1 ± 9.4%; p = 0.0024) to a 'lower inflammatory profile' (CD206+CD11b+CD36+CD163+; 72.8  ± 8.7%; p = 0.0007). There was no shift in M2-like clusters following ADSC-EV treatment. ADSC-EVs are complex regulators of macrophage phenotype that can shift macrophages away from a heightened pro-inflammatory state.