Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:6.3.5.5 (CPS)
 1,262 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

When considered with other parameters, prognostic factors of survival in far advanced cancer patients are necessary to enable the doctor, the patient, and his or her relative to choose the most suitable clinical management and care setting. Original studies and literature reviews, albeit with methodologic difficulties, have identified the most important prognostic factors as being: CPS, KPS, signs and symptoms relating to nutritional status (i.e., weight loss, anorexia, dysphagia, xerostomia), other symptoms (dyspnea, cognitive failure) and some simple biologic parameters (serum albumin level, number of white blood cells and lymphocyte ratio). Some authors have weighed the different impact of the most important prognostic factors and have integrated them into prognostic scores for clinical use. Despite the usefulness of these instruments, however, the communication of a poor prognosis is one of the most difficult moments to face in the relationship between doctor and patient.
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PMID:Prognosis in advanced cancer. 1217 May 77

Some epidemiologic studies suggest that use of vitamin C or vitamin E supplements, both potent antioxidants, may reduce the risk of bladder cancer. The authors examined the association between use of individual vitamin C and vitamin E supplements and bladder cancer mortality among 991,522 US adults in the Cancer Prevention Study II (CPS-II) cohort. CPS-II participants completed a self-administered questionnaire at enrollment in 1982 and were followed regarding mortality through 1998. During follow-up, 1,289 bladder cancer deaths occurred (962 in men and 327 in women). Rate ratios were adjusted for age, sex, cigarette smoking, education, and consumption of citrus fruits and vegetables. Regular vitamin C supplement use (>or=15 times per month) was not associated with bladder cancer mortality, regardless of duration (rate ratio (RR) = 0.91, 95% confidence interval (CI): 0.68, 1.20 for <10 years' use; RR = 1.25, 95% CI: 0.91, 1.72 for >or=10 years' use). Regular vitamin E supplement use for >or=10 years was associated with a reduced risk of bladder cancer mortality (RR = 0.60, 95% CI: 0.37, 0.96), but regular use of shorter duration was not (RR = 1.04, 95% CI: 0.77, 1.40). Results support the hypothesis that long-duration vitamin E supplement use may reduce the risk of bladder cancer mortality.
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PMID:Vitamin C and vitamin E supplement use and bladder cancer mortality in a large cohort of US men and women. 1244 56

This study investigated how parents' preferred level of control in treatment decision-making is related to their personal health care involvement and to their decision to use complementary therapies (CTs) for their child. One hundred-eighteen parents of pediatric oncology patients completed an anonymous CT survey. The Krantz Health Opinion Survey (KHOS) was used to determine parents' preferred involvement in personal health care, and the Control Preferences Scale for Pediatrics (CPS-P) measured preferred role in pediatric treatment decision-making. Unlike previous studies of adult cancer patients, most parents preferred active or collaborative decision-making. The KHOS and CPS-P were significantly correlated, indicating that parents' preferred role in children's treatment decisions was related to their own personal health care involvement. Forty-six percent of parents used CTs for their child, and 33% began using a new CT after diagnosis. The hypothesized relationship between CT use and parents' own health care involvement was partially supported. Preference for control in decision-making was not associated with CT use. These findings provide validation for the newly developed CPS-P and indicate that parents' decisions to use CT for their child are related in part to individual health care preferences.
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PMID:Parents' decision-making preferences in pediatric oncology: the relationship to health care involvement and complementary therapy use. 1283 57

The activity of the de novo pyrimidine biosynthetic pathway in the MCF7 breast cancer cells was 4.4-fold higher than that in normal MCF10A breast cells. Moreover, while pyrimidine biosynthesis in MCF10A was tightly regulated, increasing as the culture matured and subsequently down-regulated in confluency, the biosynthetic rate in MCF7 cells remained elevated and invariant in all growth phases. The flux through the pathway is regulated by carbamoyl phosphate synthetase, a component of the multifunctional protein, CAD. The intracellular CAD concentration was 3.5- to 4-fold higher in MCF7 cells, an observation that explains the high rate of pyrimidine biosynthesis but cannot account for the lack of growth-dependent regulation. In MCF10A cells, up-regulation of the pathway in the exponential growth phase resulted from MAP kinase phosphorylation of CAD Thr456. The pathway was subsequently down-regulated by dephosphorylation of P approximately Thr456 and the phosphorylation of CAD by PKA. In contrast, the CAD P approximately Thr456 was persistently phosphorylated in MCF7 cells, while the PKA site remained unphosphorylated and consequently the activity of the pathway was elevated in all growth phases. In support of this interpretation, inhibition of MAP kinase in MCF7 cells decreased CAD P approximately Thr456, increased PKA phosphorylation and decreased pyrimidine biosynthesis. Conversely, transfection of MCF10A with constructs that elevated MAP kinase activity increased CAD P approximately Thr456 and the pyrimidine biosynthetic rate. The differences in the CAD phosphorylation state responsible for unregulated pyrimidine biosynthesis in MCF7 cells are likely to be a consequence of the elevated MAP kinase activity and the antagonism between MAP kinase- and PKA-mediated phosphorylations.
Int J Cancer 2004 Apr 20
PMID:Breakdown of the regulatory control of pyrimidine biosynthesis in human breast cancer cells. 1499 69

Although smoking is widely recognized as a major cause of cancer, there is little information on how it contributes to the global and regional burden of cancers in combination with other risk factors that affect background cancer mortality patterns. We used data from the American Cancer Society's Cancer Prevention Study II (CPS-II) and the WHO and IARC cancer mortality databases to estimate deaths from 8 clusters of site-specific cancers caused by smoking, for 14 epidemiologic subregions of the world, by age and sex. We used lung cancer mortality as an indirect marker for accumulated smoking hazard. CPS-II hazards were adjusted for important covariates. In the year 2000, an estimated 1.42 (95% CI 1.27-1.57) million cancer deaths in the world, 21% of total global cancer deaths, were caused by smoking. Of these, 1.18 million deaths were among men and 0.24 million among women; 625,000 (95% CI 485,000-749,000) smoking-caused cancer deaths occurred in the developing world and 794,000 (95% CI 749,000-840,000) in industrialized regions. Lung cancer accounted for 60% of smoking-attributable cancer mortality, followed by cancers of the upper aerodigestive tract (20%). Based on available data, more than one in every 5 cancer deaths in the world in the year 2000 were caused by smoking, making it possibly the single largest preventable cause of cancer mortality. There was significant variability across regions in the role of smoking as a cause of the different site-specific cancers. This variability illustrates the importance of coupling research and surveillance of smoking with that for other risk factors for more effective cancer prevention.
Int J Cancer 2005 Oct 10
PMID:Role of smoking in global and regional cancer epidemiology: current patterns and data needs. 1588 Apr 14

A stochastic two-stage cancer model is used to analyse the relation between lung cancer and cigarette smoking. The model contains the main rate-limiting stages of carcinogenesis, which include initiation, promotion (clonal expansion of initiated cells), malignant transformation and a lag time for tumour formation. Various data sets were used to test the model. These include the data of a large prospective collaborative project carried out in 10 different European countries, the European Prospective Investigation into Cancer and Nutrition (EPIC). This new data set has not been modelled before. The model is also tested on other published data from CPS-II (Cancer Prevention Study II) of the American Cancer Society and the British doctors' study. The analyses indicate that the EPIC data are best described with smoking dependence on the rates of malignant transformation and clonal expansion. With increasing smoking rates, saturation effects in the two exposure rate-dependent model parameters were observed. The results find confirmation in the biological literature, where both mutational effects and promotional effects of cigarette smoke are documented.
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PMID:Analysis of epidemiological cohort data on smoking effects and lung cancer with a multi-stage cancer model. 1641 Feb 61

Some proteins of the transient receptor potential (TRP) family form temperature sensitive ion channels. One member of the melastatin (M) group, namely TRPM8 is activated by cold and cooling compounds such as menthol and icilin, and its gene is up-regulated in prostate cancer and other malignancies. Here we characterise the effects of the carboxamides WS-12, CPS-113, CPS-369, the carboxylic acid WS-30 and the phosphine oxide WS-148 by Ca2+ imaging experiments and whole-cell patch-clamp recordings on TRPM8 expressing human embryonic kidney (HEK), lymph node prostate cancer (LNCaP) and dorsal root ganglia (DRG) cells. The cooling compounds introduced in this study, show a dose-dependent and reversible activation of TRPM8 with EC50 values in the nM to low microM range. The carboxamide WS-12 is most potent in activating TRPM8. It is selective, since other TRP proteins are not stimulated at muM concentrations and its efficacy with respect to TRPM8 is similar to the one of icilin. In summary, the compounds described in this study represent new tools to dissect TRPM8 functions and may serve as chemical leads for the development of additional TRPM8 agonists and novel antagonists. Such compounds may be beneficial for preventing noxious cold perception. They could also be useful in diagnosis and treatment of most common cancers in which the TRPM8 gene is up-regulated in comparison to the corresponding normal tissue.
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PMID:Characterisation of TRPM8 as a pharmacophore receptor. 1751 34

A family history of pancreatic cancer is associated with increased risk of pancreatic cancer, but uncertainty remains about the magnitude of this association, whether it varies by age or smoking and whether a family history of other cancers may also be associated with increased risk. We examined family history of 14 cancers and pancreatic cancer mortality among ~1.1 million men and women in Cancer Prevention Study-II (CPS-II). CPS-II participants completed a questionnaire at enrollment in 1982. During follow-up through 2006, there were 7,306 pancreatic cancer deaths. A family history of pancreatic cancer in a parent or sibling was associated with pancreatic cancer mortality [multivariable adjusted rate ratio (RR) = 1.66, 95% confidence interval (CI) 1.43-1.94]. This association was stronger among participants aged under 60 (RR = 2.89, 95% CI 1.67-5.02) than among participants aged 60 or older (RR = 1.61, 95% CI 1.37-1.88). Weaker associations were observed for family history of stomach cancer (RR = 1.23, 95% CI 1.11-1.37), liver cancer (RR = 1.25, 95% CI 1.10-1.43), and colorectal cancer (RR = 1.12, 95% CI 1.01-1.23). Results from this large prospective study indicate family history of pancreatic cancer is associated with a moderate increase in risk of pancreatic cancer, and also identify associations with the family history of certain other cancers which may be useful in generating hypotheses about shared risk factors.
Cancer Causes Control 2009 Oct
PMID:Family history of various cancers and pancreatic cancer mortality in a large cohort. 1939 55

We conducted an extended follow-up and spatial analysis of the American Cancer Society (ACS) Cancer Prevention Study II (CPS-II) cohort in order to further examine associations between long-term exposure to particulate air pollution and mortality in large U.S. cities. The current study sought to clarify outstanding scientific issues that arose from our earlier HEI-sponsored Reanalysis of the original ACS study data (the Particle Epidemiology Reanalysis Project). Specifically, we examined (1) how ecologic covariates at the community and neighborhood levels might confound and modify the air pollution-mortality association; (2) how spatial autocorrelation and multiple levels of data (e.g., individual and neighborhood) can be taken into account within the random effects Cox model; (3) how using land-use regression to refine measurements of air pollution exposure to the within-city (or intra-urban) scale might affect the size and significance of health effects in the Los Angeles and New York City regions; and (4) what exposure time windows may be most critical to the air pollution-mortality association. The 18 years of follow-up (extended from 7 years in the original study [Pope et al. 1995]) included vital status data for the CPS-II cohort (approximately 1.2 million participants) with multiple cause-of-death codes through December 31, 2000 and more recent exposure data from air pollution monitoring sites for the metropolitan areas. In the Nationwide Analysis, the influence of ecologic covariate data (such as education attainment, housing characteristics, and level of income; data obtained from the 1980 U.S. Census; see Ecologic Covariates sidebar on page 14) on the air pollution-mortality association were examined at the Zip Code area (ZCA) scale, the metropolitan statistical area (MSA) scale, and by the difference between each ZCA value and the MSA value (DIFF). In contrast to previous analyses that did not directly include ecologic covariates at the ZCA scale, risk estimates increased when ecologic covariates were included at all scales. The ecologic covariates exerted their greatest effect on mortality from ischemic heart disease (IHD), which was also the health outcome most strongly related with exposure to PM2.5 (particles 2.5 microm or smaller in aerodynamic diameter), sulfate (SO4(2-)), and sulfur dioxide (SO2), and the only outcome significantly associated with exposure to nitrogen dioxide (NO2). When ecologic covariates were simultaneously included at both the MSA and DIFF levels, the hazard ratio (HR) for mortality from IHD associated with PM2.5 exposure (average concentration for 1999-2000) increased by 7.5% and that associated with SO4(2-) exposure (average concentration for 1990) increased by 12.8%. The two covariates found to exert the greatest confounding influence on the PM2.5-mortality association were the percentage of the population with a grade 12 education and the median household income. Also in the Nationwide Analysis, complex spatial patterns in the CPS-II data were explored with an extended random effects Cox model (see Glossary of Statistical Terms at end of report) that is capable of clustering up to two geographic levels of data. Using this model tended to increase the HR estimate for exposure to air pollution and also to inflate the uncertainty in the estimates. Including ecologic covariates decreased the variance of the results at both the MSA and ZCA scales; the largest decrease was in residual variation based on models in which the MSA and DIFF levels of data were included together, which suggests that partitioning the ecologic covariates into between-MSA and within-MSA values more completely captures the sources of variation in the relationship between air pollution, ecologic covariates, and mortality. Intra-Urban Analyses were conducted for the New York City and Los Angeles regions. The results of the Los Angeles spatial analysis, where we found high exposure contrasts within the Los Angeles region, showed that air pollution-mortality risks were nearly 3 times greater than those reported from earlier analyses. This suggests that chronic health effects associated with intra-urban gradients in exposure to PM2.5 may be even larger between ZCAs within an MSA than the associations between MSAs that have been previously reported. However, in the New York City spatial analysis, where we found very little exposure contrast between ZCAs within the New York region, mortality from all causes, cardiopulmonary disease (CPD), and lung cancer was not elevated. A positive association was seen for PM2.5 exposure and IHD, which provides evidence of a specific association with a cause of death that has high biologic plausibility. These results were robust when analyses controlled (1) the 44 individual-level covariates (from the ACS enrollment questionnaire in 1982; see 44 Individual-Level Covariates sidebar on page 22) and (2) spatial clustering using the random effects Cox model. Effects were mildly lower when unemployment at the ZCA scale was included. To examine whether there is a critical exposure time window that is primarily responsible for the increased mortality associated with ambient air pollution, we constructed individual time-dependent exposure profiles for particulate and gaseous air pollutants (PM2.5 and SO2) for a subset of the ACS CPS-II participants for whom residence histories were available. The relevance of the three exposure time windows we considered was gauged using the magnitude of the relative risk (HR) of mortality as well as the Akaike information criterion (AIC), which measures the goodness of fit of the model to the data. For PM2.5, no one exposure time window stood out as demonstrating the greatest HR; nor was there any clear pattern of a trend in HR going from recent to more distant windows or vice versa. Differences in AIC values among the three exposure time windows were also small. The HRs for mortality associated with exposure to SO2 were highest in the most recent time window (1 to 5 years), although none of these HRs were significantly elevated. Identifying critical exposure time windows remains a challenge that warrants further work with other relevant data sets. This study provides additional support toward developing cost-effective air quality management policies and strategies. The epidemiologic results reported here are consistent with those from other population-based studies, which collectively have strongly supported the hypothesis that long-term exposure to PM2.5 increases mortality in the general population. Future research using the extended Cox-Poisson random effects methods, advanced geostatistical modeling techniques, and newer exposure assessment techniques will provide additional insight.
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PMID:Extended follow-up and spatial analysis of the American Cancer Society study linking particulate air pollution and mortality. 1962 30

Large, unexplained, but possibly related disparities exist between heart disease risks observed in differing genders, educational levels, times, and studies. Such heart disease disparities might be related to cumulative tobacco smoke damage (smoke load) disparities that are overlooked in standard assessments of point smoking status. So, I reviewed possible relationships between smoke load and heart disease levels across genders, educational strata, years, and leading studies. Smoker heart disease risk assessments in the Nurses Health Study (Nurses), Cancer Prevention Study-II (CPS-II), and British Doctors studies were compared and related to their likely selection and misclassification biases. Relationships between smoke loads and United States (US) education- and gender-related heart disease mortality disparities were qualitatively assessed using lung cancer rates as a smoke load proxy. The high heart disease mortality risks observed in smoking Nurses in 1980-2004 and in less educated US women in 2001 were qualitatively associated with their higher smoke loads and lower selection and exposure misclassification biases than in the CPS-II and Doctors studies. Smoking-attributable heart disease death tolls and disparities extrapolated from mortality ratios from the CPS-II and Doctors studies may be substantial underestimates. Such studies appear to have compared convenience samples of light smokers to lighter smokers instead of comparing representative smokers to the unexposed. Further efforts to minimize smoke exposures and better quantify cumulative smoking-attributable burdens are needed.
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PMID:Smoking and ischemic heart disease disparities between studies, genders, times, and socioeconomic strata. 1965 85


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