No abstract

Background Studies have shown that aerobic and muscle-strengthening physical activities reduce mortality risk. However, little is known about the joint associations of the two activity types and whether other type of physical activity, such as flexibility activity, can provide similar mortality risk reduction. Objectives We examined the independent associations of aerobic, muscle-strengthening, and flexibility physical activities with all-cause and cause-specific mortality in a population-based prospective cohort of Korean men and women. We also examined the joint associations of aerobic and muscle-strengthening activities, the two physical activity types that are recommended by the current World Health Organization physical activity guidelines. Design This analysis included 34,379 Korea National Health and Nutrition Examination Survey 2007–2013 participants (aged 20–79 years) with mortality data linkage through December 31, 2019. Engagement in walking, aerobic, muscle-strengthening, and flexibility physical activities was self-reported at baseline. Cox proportional hazards model was performed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for potential confounders. Results Flexibility physical activity (≥ 5 vs. 0 d/wk) was inversely associated with all-cause (HR [95% CI] = 0.80 [0.70–0.92]; P-trend < 0.001) and cardiovascular mortality (0.75 [0.55–1.03], P-trend = 0.02). Moderate- to vigorous-intensity aerobic physical activity (≥ 50.0 vs. 0 MET-h/wk) was also associated with lower all-cause (HR [95% CI] = 0.82 [0.70–0.95]; P-trend < 0.001) and cardiovascular mortality (0.55 [0.37–0.80]; P-trend < 0.001). Similar inverse associations were observed with total aerobic physical activity, including walking. Muscle-strengthening activity (≥ 5 vs. 0 d/wk) was inversely associated with all-cause mortality (HR [95% CI] = 0.83 [0.68–1.02]; P-trend = 0.01) but was not associated with cancer or cardiovascular mortality. Compared to participants meeting the highest guidelines for both moderate- to vigorous-intensity aerobic and muscle-strengthening physical activities, those not meeting in any guideline were associated with higher all-cause (1.34 [1.09–1.64]) and cardiovascular mortality (1.68 [1.00-2.82]). Conclusions Our data suggest that aerobic, muscle-strengthening, and flexibility activities are associated with lower risk of mortality.

No abstract

271 Background: Circulating rare cells (CRCs) such as circulating tumor cells (CTCs), tumor-associated macrophages (TAMs) and cancer-associated fibroblasts (CAFs) play major roles in tumor progression. However, there are limited reports characterizing single CRCs comprehensively because of technical limitations including isolation and analysis of rare cells. We aimed to test the feasibility of the automated picking and mRNA profiling platforms of CRCs for evaluating the phenotypic heterogeneity of CRCs and the relationship between clinical outcomes and CRCs in patients with pancreatic cancer. Methods: CRCs were collected from 3ml of whole blood in 4 patients with pancreatic cancer using filter-based lab-on-a-disc platform. The filter membrane was transferred to ALS CellCelector (ALS, Germany) which is picking single nucleated CD45 negative cells to 96-well plate. The single cells were analyzed with the BioMark HD (Fluidigm, USA) which is digital PCR-based mRNA profiling for 48 markers such as epithelial, mesenchymal, stem-like, macrophage, fibroblast, oncogenic and immunogenic markers. Results: CRCs were detected in 3 of 4 patients (75%). Sixty-six-year-old female who had large pancreatic cancer with liver and lung metastasis presented 13 single rare cells including 7 epithelial CTCs with hematopoietic features (CD45 and CD14 positive), 3 mesenchymal CTCs, 2 stem-like CTCs, and 1 CAF. One epithelial CTC with hematopoietic features and one stem-like CTC were detected in 51-year-old male and 61-year-old female with metastatic pancreatic cancer, respectively. There was no CTC in 80-year-old male with localized pancreatic cancer. Conclusions: The automated picking and mRNA profiling platforms showed the feasibility of showing tumor heterogeneity and predicting clinical outcomes in patients with pancreatic cancer.