A systematic review and meta-analysis was conducted in an attempt to systematically collect and evaluate the associations of epidemiological, comorbidity factors with the severity and prognosis of coronavirus disease 2019 (COVID-19). The systematic review and meta-analysis was conducted according to the guidelines proposed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Sixty nine publications met our study criteria, and 61 studies with more than 10,000 COVID-19 cases were eligible for the quantitative synthesis. We found that the males had significantly higher disease severity (RR: 1.20, 95% CI: 1.13-1.27, P <0.001) and more prognostic endpoints. Older age was found to be significantly associated with the disease severity and six prognostic endpoints. Chronic kidney disease contributed mostly for death (RR: 7.10, 95% CI: 3.14-16.02), chronic obstructive pulmonary disease (COPD) for disease severity (RR: 4.20, 95% CI: 2.82-6.25), admission to intensive care unit (ICU) (RR: 5.61, 95% CI: 2.68-11.76), the composite endpoint (RR: 8.52, 95% CI: 4.36-16.65,), invasive ventilation (RR: 6.53, 95% CI: 2.70-15.84), and disease progression (RR: 7.48, 95% CI: 1.60-35.05), cerebrovascular disease for acute respiratory distress syndrome (ARDS) (RR: 3.15, 95% CI: 1.23-8.04), coronary heart disease for cardiac abnormality (RR: 5.37, 95% CI: 1.74-16.54). Our study highlighted that the male gender, older age and comorbidities owned strong epidemiological evidence of associations with the severity and prognosis of COVID-19.

To determine whether genetically predicted circulating levels of cytokines are associated with risk of overall breast cancer (BC), estrogen receptor (ER)-positive and ER-negative BC, we conducted two-sample MR analyses using data from the most comprehensive genome-wide association studies (GWAS) on cytokines in 8293 Finnish participants and the largest BC GWAS from the Breast Cancer Association Consortium (BCAC) with totally 122,977 BC cases and 105,974 healthy controls. We systematically screened 41 cytokines (of which 24 cytokines have available instruments) and identified that genetically predicted circulating levels (1-SD increase) of MCP1 (OR: 1.08; 95% CIs: 1.03–1.12; P value: 3.55 × 10⁻⁴), MIP1b (OR: 1.02; 95% CIs: 1.01–1.04; P value: 2.70 × 10⁻³) and IL13 (OR: 1.06; 95% CIs: 1.03–1.10; P value: 3.33 × 10⁻⁴) were significantly associated with increased risk of overall BC, as well as ER-positive BC. In addition, higher levels of MIP1b and IL13 were also significantly associated with increased risk of ER-negative BC. These findings suggest the crucial role of cytokines in BC carcinogenesis and potential of targeting specific inflammatory cytokines for BC prevention.

Background: The TGF-β signaling pathway plays a significant role in the carcinogenic process of breast cancer. Methods: We systematically evaluated associations of common variants in TGF-β signaling pathway genes with breast cancer risk using a multistage, case–control study among Asian women. Results: In the first stage, 341 single-nucleotide polymorphisms with minor allele frequencies ≥ 0.05 across 11 genes were evaluated among 2,926 cases and 2,380 controls recruited as a part of the Shanghai Breast Cancer Genetics Study (SBCGS). In the second stage, 20 SNPs with promising associations were evaluated among an additional 1,890 cases and 2,000 controls from the SBCGS. One variant, TGFBR2 rs1078985, had highly consistent and significant associations with breast cancer risk among participants in both study stages, as well as promising results from in silico analysis. Additional genotyping was carried out among 2,475 cases and 2,343 controls from the SBCGS, as well as among 5,077 cases and 5,384 controls from six studies in the Asian Breast Cancer Consortium (stage III). Pooled analysis of all data indicated that minor allele homozygotes (GG) of TGFBR2 rs1078985 had a 24% reduced risk of breast cancer compared with major allele carriers (AG or AA; OR, 0.76; 95% CI, 0.65–0.89; P = 8.42 × 10⁻⁴). Conclusion: These findings support a role for common genetic variation in TGF-β signaling pathway genes, specifically in TGFBR2, in breast cancer susceptibility. Impact: These findings may provide new insights into the etiology of breast cancer as well as future potential therapeutic targets. Cancer Epidemiol Biomarkers Prev; 21(7); 1176–84. ©2012 AACR.

To systematically evaluate the associations between glycemic control and short- to long-term outcomes in coronavirus disease 2019 (COVID-19) patients with type 2 diabetes (T2D). A multi-center prospective cohort study including 574 COVID-19 patients with T2D was conducted in Wuhan, China. All patients were followed-up 1 year after hospital discharge using a uniformed questionnaire including self-reported symptoms, and the chronic obstructive pulmonary disease assessment test items. Of the 574 patients, 443 (77.2%) had well-controlled blood glucose. Glycemic control was significantly associated with decreased risk of death [odds ratio (OR) 0.24, 95% confidence interval (CI) 0.10–0.57], intensive care unit admission (OR 0.22, 95% CI 0.10–0.49), invasive mechanical ventilation (OR 0.25, 95% CI 0.08–0.72), disease progression (OR 0.25, 95% CI 0.11–0.55), and composite outcome (OR 0.26, 95% CI 0.14–0.49). The top five long-term sequelae include fatigue (31.5%), sweating (21.2%), chest tightness (15.1%), anxiety (12.2%), myalgia (10.6%) and short breath (6.4%). Glycemic control was associated with decreased risk of respiratory sequelae (OR 0.42, 95% CI 0.18–0.99; P = 0.048). Glycemic control was significantly associated with short-term outcomes in COVID-19 patients with T2D and showed a significant association with long-term respiratory sequelae. The management and control of blood glucose has a positive impact on prognosis of COVID-19.