scholarly journals Evidence of an oncogenic role of aberrant TOX activation in cutaneous T-cell lymphoma

Blood ◽  
2015 ◽  
Vol 125 (9) ◽  
pp. 1435-1443 ◽  
Author(s):  
Yuanshen Huang ◽  
Ming-Wan Su ◽  
Xiaoyan Jiang ◽  
Youwen Zhou
Keyword(s):  
Cell Lymphoma ◽  
Cutaneous T Cell Lymphoma ◽  
Increased Risk ◽  
Key Points ◽  
Specific Mortality ◽  
Risk Of Disease ◽  
Disease Specific Mortality ◽  
Sézary Cells ◽  
Disease Specific

Key Points TOX is aberrantly expressed in primary Sézary cells and its levels correlate with increased risk of disease-specific mortality. TOX knockdown promotes apoptosis and reduces cell proliferation in CTCL cells, partially through inducing p27 and p57.

scholarly journals Elucidating the role of interleukin-17F in cutaneous T-cell lymphoma

Blood ◽  
2013 ◽  
Vol 122 (6) ◽  
pp. 943-950 ◽  
Author(s):  
Thorbjørn Krejsgaard ◽  
Ivan V. Litvinov ◽  
Yang Wang ◽  
Lixin Xia ◽  
Andreas Willerslev-Olsen ◽  
...  
Keyword(s):  
T Cell ◽  
Progressive Disease ◽  
Cell Lymphoma ◽  
T Cell Lymphoma ◽  
Cutaneous T Cell Lymphoma ◽  
Stat3 Pathway ◽  
Key Points ◽  
Interleukin 17F

Key Points The Jak/Stat3 pathway promotes the expression of IL-17F in malignant CTCL cells. IL-17F is highly expressed in a subset of CTCL patients and associated with progressive disease.

scholarly journals How Do Social Factors Explain Outcomes in Non–Small-Cell Lung Cancer Among Hispanics in California? Explaining the Hispanic Paradox

2013 ◽  
Vol 31 (28) ◽  
pp. 3572-3578 ◽  
Author(s):  
Manali I. Patel ◽  
Clayton W. Schupp ◽  
Scarlett L. Gomez ◽  
Ellen T. Chang ◽  
Heather A. Wakelee
Keyword(s):  
Lung Cancer ◽  
Small Cell ◽  
Survival Advantage ◽  
Foreign Born ◽  
Small Cell Lung ◽  
Neighborhood Factors ◽  
Specific Mortality ◽  
Risk Of Disease ◽  
Disease Specific Mortality ◽  
Disease Specific

Purpose Hispanics in the United States have lower age-adjusted mortality resulting from non–small-cell lung cancer (NSCLC) compared with non-Hispanic whites (NHWs). The purpose of this study was to evaluate individual, clinical, and neighborhood factors in survival among Hispanics with NSCLC. Patients and Methods We performed a retrospective analysis of NHWs and Hispanics with NSCLC between 1998 and 2007 in the California Cancer Registry (follow-up to December 2009). Kaplan-Meier curves depict survival by nativity for Hispanics with NSCLC. Cox proportional hazards models estimated hazard of mortality by race with adjustment for individual (age, sex, marital status), clinical (histologic grade, surgery, irradiation, chemotherapy), and neighborhood factors (neighborhood socioeconomic status, ethnic enclave). Results We included 14,280 Hispanic patients with NSCLC. Foreign-born Hispanics had 15% decreased risk of disease-specific mortality resulting from NSCLC compared with NHWs (hazard ratio [HR], 0.85; 95% CI, 0.83 to 0.88) after adjustment for individual, clinical, and neighborhood factors. After adjustment for individual factors, compared with US-born Hispanics, foreign-born Hispanics had 10% decreased risk of disease-specific mortality (HR, 0.90; 95% CI, 0.87 to 0.96). Clinical and neighborhood factors slightly moderated the survival benefit for foreign-born patients. A modestly more pronounced survival advantage was seen for foreign-born Hispanics living in low socioeconomic and high Hispanic enclave neighborhoods as compared with US-born Hispanics (HR, 0.86; 95% CI, 0.81 to 0.90). Conclusion Foreign-born Hispanics with NSCLC have a decreased risk of disease-specific mortality compared with NHWs and US-born Hispanics with NSCLC. Neighborhood factors slightly moderate this survival advantage. This survival advantage is slightly more pronounced in lower socioeconomic and higher Hispanic enclave neighborhoods.

Association of sleep duration with all-cause and disease-specific mortality in US adults

2021 ◽  
pp. jech-2020-215314
Author(s):  
Lili Yang ◽  
Bo Xi ◽  
Min Zhao ◽  
Costan G Magnussen
Keyword(s):  
Cardiovascular Disease ◽  
Sleep Duration ◽  
Proportional Hazards ◽  
Large Population ◽  
Cox Proportional Hazards ◽  
Increased Risk ◽  
Specific Mortality ◽  
Disease Specific Mortality ◽  
Cancer Specific Mortality ◽  
Disease Specific

BackgroundPrevious studies revealed inconsistent findings regarding the association between sleep duration and all-cause and disease-specific mortality. This study aimed to clarify the association of sleep duration with mortality using a large population-based prospective cohort study from the USA.MethodsWe used data from the National Health Interview Survey (2004–2014) linked to National Death Index records to 31 December 2015. A total of 284 754 participants aged ≥18 years were included. Self-reported sleep duration (average time slept in a 24-hour period) was categorised into seven groups: ≤4 hours, 5 hours, 6 hours, 7 hours (reference), 8 hours, 9 hours and ≥10 hours. Study outcomes included all-cause, cardiovascular disease-specific and cancer-specific mortality. Cox proportional hazards models were used to examine the association between sleep duration and mortality.ResultsDuring a median follow-up of 5.25 years, we identified 20 872 deaths, of which 4 129 were cardiovascular disease-related and 5 217 were cancer-related. Compared with 7 hours/day of sleep, both short and long sleep durations were associated with an increased risk of all-cause mortality (≤4 hours: HR=1.46, 95% CI=1.33–1.61; 5 hours: HR=1.22, 95% CI=1.13–1.32; 6 hours: HR=1.10, 95% CI=1.05–1.17; 8 hours: HR=1.22, 95% CI=1.17–1.28; 9 hours: HR=1.41, 95% CI=1.31–1.51; ≥10 hours: HR=2.00, 95% CI=1.88–2.13). Similar results were observed for cardiovascular disease-specific and cancer-specific mortality.ConclusionsOur study indicates that both short (≤6 hours/day) and long (≥8 hours/day) sleep durations increase the risk of mortality compared with sleep of 7 hours/day. A normal sleep duration (about 7 hours) every day is recommended for health benefits.

scholarly journals Gender Differences in Prognosis after Primary Resection for Retroperitoneal Liposarcoma

2021 ◽  
Author(s):  
Cheng-Xin Weng ◽  
Yu-Han Qi ◽  
Ji-Chun Zhao ◽  
Ding Yuan ◽  
Yi Yang ◽  
...  
Keyword(s):  
Survival Rates ◽  
Radical Resection ◽  
Primary Resection ◽  
Low Grade ◽  
Retroperitoneal Liposarcoma ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Specific Mortality ◽  
Disease Specific Mortality ◽  
Disease Specific

Abstract Background: Current evidence regarding gender difference in retroperitoneal liposarcoma (RLPS) is scarce, we sought to investigate whether gender may affect prognosis after primary resection of RLPS.Methods: We used the Surveillance, Epidemiology, and End Results (SEER) database to identify RLPS patients from January 1973 to December 2015. Multivariate cox proportional hazards analysis was adopted to generate adjusted hazard ratio (AHR) and 95% confidence intervals (CI) of survival outcomes.Results: In total, 2108 RLPS patients, including 971 women and 1137 men, were identified, with a median follow-up of 45.0 (17.0-92.0) months. The 5-year and 10-year overall survival rates were 50.5% and 31.5% for men, and 60.4% and 42.5% for women. The 5-year and 10-year disease-specific survival rates for men and women were 71.5%, 57.3% and 76.3%, 62.1%, respectively. We found men were associated with an increased risk of all-cause mortality (AHR 1.3, 95%CI 1.0-1.6, P=.017) but not disease-specific mortality (AHR 1.2, 95%CI 0.9-1.6, P=.246). The subgroup analyses revealed that men were associated with an increased risk of all-cause mortality in patients with low-grade tumors (AHR 1.8, 95%CI 1.3-2.5) or patients received non-radical resection (AHR 1.6, 95%CI 1.2-2.1). Besides, in the subgroup of low-grade tumors, men were also associated with an increased risk of disease-specific mortality (AHR 2.0, 95%CI 1.2-3.3).Conclusion: Men may have worse survival after primary resection of RLPS compared with women, especially in patients with low-grade tumors or patients received non-radical resection. Gender-based disparities may deserve more attention in patients with RLPS.

scholarly journals Staphylococcal enterotoxin A (SEA) stimulates STAT3 activation and IL-17 expression in cutaneous T-cell lymphoma

Blood ◽  
2016 ◽  
Vol 127 (10) ◽  
pp. 1287-1296 ◽  
Author(s):  
Andreas Willerslev-Olsen ◽  
Thorbjørn Krejsgaard ◽  
Lise M. Lindahl ◽  
Ivan V. Litvinov ◽  
Simon Fredholm ◽  
...  
Keyword(s):  
T Cell ◽  
Disease Progression ◽  
Cell Lymphoma ◽  
Staphylococcal Enterotoxin ◽  
T Cell Lymphoma ◽  
Cutaneous T Cell Lymphoma ◽  
Staphylococcal Enterotoxin A ◽  
Oncogenic Pathways ◽  
Key Points

Key Points Staphylococcal enterotoxins activate oncogenic pathways in CTCL. This discovery implies a novel role of microbes as drivers of disease progression.

Effects of Categorizing Continuous Variables in Decision-Analytic Models

2009 ◽  
Vol 29 (5) ◽  
pp. 549-556 ◽  
Author(s):  
Tanya G. K. Bentley ◽  
Milton C. Weinstein ◽  
Karen M. Kuntz
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Relative Risk ◽  
Markov Models ◽  
Disease Risk ◽  
Disease Incidence ◽  
Specific Mortality ◽  
Risk Of Disease ◽  
Disease Specific Mortality ◽  
Disease Specific

Purpose. When using continuous predictor variables in discrete-state Markov modeling, it is necessary to create categories of risk and assume homogeneous disease risk within categories, which may bias model outcomes. This analysis assessed the tradeoffs between model bias and complexity and/or data limitations when categorizing continuous risk factors in Markov models. Methods. The authors developed a generic Markov cohort model of disease, defining bias as the percentage change in life expectancy gain from a hypothetical intervention when using 2 to 15 risk factor categories as compared with modeling the risk factor as a continuous variable. They evaluated the magnitude and sign of bias as a function of disease incidence, disease-specific mortality, and relative difference in risk among categories. Results. Bias was positive in the base case, indicating that categorization overestimated life expectancy gains. The bias approached zero as the number of risk factor categories increased and did not exceed 4% for any parameter combinations or numbers of categories considered. For any given disease-specific mortality and disease incidence, bias increased with relative risk of disease. For any given relative risk, the relationship between bias and parameters such as disease-specific mortality or disease incidence was not always monotonic. Conclusions. Under the assumption of a normally distributed risk factor and reasonable assumption regarding disease risk and moderate values for the relative risk of disease given risk factor category, categorizing continuously valued risk factors in Markov models is associated with less than 4% absolute bias when at least 2 categories are used.

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