Citations

Abstract Liver tropism of systemically delivered adenoviruses (Ad) represents a considerable challenge for their use as anticancer therapeutics. More than 90% of i.v. injected Ad is rapidly taken up by the liver leading to hepatotoxicity, reduced virus uptake by target tumor tissue, and diminished therapeutic efficacy. The lack of clinical activity of systemically given oncolytic Ad demands for better understanding and improvement of virus pharmacokinetics. We studied the effects of Ad “detargeting” from liver macrophages (Kupffer cells) and hepatocytes on toxicity and anticancer efficacy using a nonattenuated oncolytic Ad expressing enhanced green fluorescent protein-firefly luciferase fusion protein (Ad-EGFPLuc). Kupffer cell depletion before i.v. injection of Ad-EGFPLuc increased transgene expression in the liver 40.7-fold on day 3 after the injection indicating compensatory enhancement of hepatocyte transduction due to increased bioavailability of the virus. Pretreatment of mice with the anticoagulant drug warfarin to block blood factor–dependent binding of the virus to hepatocytes markedly reduced luciferase expression in the liver and mediated the corresponding decrease of hepatotoxicity in mice with intact and depleted liver macrophages. Combined depletion of Kupffer cells and pretreatment with warfarin before a single i.v. injection of Ad-EGFPLuc significantly reduced tumor growth and prolonged survival of nude mice bearing subcutaneous xenografts of aggressive human hepatocellular carcinoma. The improved antitumor activity correlated with enhanced transgene expression and virus spread in the tumors. These data suggest that detargeting oncolytic Ad from liver macrophages and hepatocytes is an effective strategy to increase the therapeutic window for therapy against disseminated tumor sites. [Cancer Res 2008;68(14):5896–904]

Abstract Osteoporotic fractures are a significant public health problem, resulting in substantial morbidity and mortality. Previous estimates of the economic burden of osteoporosis, however, have not fully accounted for the costs associated with treatment of nonhip fractures, minority populations, or men. Accordingly, the 1995 total direct medical expenditures for the treatment of osteoporotic fractures were estimated for all persons aged 45 years or older in the United States by age group, sex, race, type of fracture, and site of service (inpatient hospital, nursing home, and outpatient). Osteoporosis attribution probabilities were used to estimate the proportion of health service utilization and expenditures for fractures that resulted from osteoporosis. Health care expenditures attributable to osteoporotic fractures in 1995 were estimated at $13.8 billion, of which $10.3 billion (75.1%) was for the treatment of white women, $2.5 billion (18.4%) for white men, $0.7 billion (5.3%) for nonwhite women, and $0.2 billion (1.3%) for nonwhite men. Although the majority of U.S. health care expenditures for the treatment of osteoporotic fractures were for white women, one-fourth of the total was borne by other population subgroups. By site-of-service, $8.6 billion (62.4%) was spent for inpatient care, $3.9 billion (28.2%) for nursing home care, and $1.3 billion (9.4%) for outpatient services. Importantly, fractures at skeletal sites other than the hip accounted for 36.9% of the total attributed health care expenditures nationally. The contribution of nonhip fractures to the substantial morbidity and expenditures associated with osteoporosis has been underestimated by previous researchers.

Abstract To assess the cost-effectiveness of interventions to prevent osteoporosis, it is necessary to estimate total health care expenditures for the treatment of osteoporotic fractures. Resources utilized for the treatment of many diseases can be estimated from secondary databases using relevant diagnosis codes, but such codes do not indicate which fractures are osteoporotic in nature. Therefore, a panel of experts was convened to make judgments about the probabilities that fractures of different types might be related to osteoporosis according to patient age, gender, and race. A three-round Delphi process was applied to estimate the proportion of fractures related to osteoporosis (i.e., the osteoporosis attribution probabilities) in 72 categories comprised of four specific fracture types (hip, spine, forearm, all other sites combined) stratified by three age groups (45–64 years, 65–84 years, 85 years and older), three racial groups (white, black, all others), and both genders (female, male). It was estimated that at least 90% of all hip and spine fractures among elderly white women should be attributed to osteoporosis. Much smaller proportions of the other fractures were attributed to osteoporosis. Regardless of fracture type, attribution probabilities were less for men than women and generally less for non-whites than whites. These probabilities will be used to estimate the total direct medical costs associated with osteoporosis-related fractures in the United States.