Socio-behavioral dysfunction in disorders of hypothalamic-pituitary involvement: The potential role of disease-induced oxytocin and vasopressin signaling deficits.

Disorders involving hypothalamic and pituitary (HPIT) structures-including craniopharyngioma, Langerhans cell histiocytosis, and intracranial germ cell tumors-can disrupt brain and endocrine function. An area of emerging clinical concern in patients with these disorders is the co-occurring socio-behavioral dysfunction that persists after standard hormone replacement therapy. Although the two neuropeptides most implicated in mammalian social functioning (oxytocin and arginine vasopressin) are of hypothalamic origin, little is known about how disease-induced damage to HPIT structures may disrupt neuropeptide signaling and, in turn, impact patients' socio-behavioral functioning. Here we provide a clinical primer on disorders of HPIT involvement and a review of neuropeptide signaling and socio-behavioral functioning in relevant animal models and patient populations. This collective evidence suggests that neuropeptide signaling disruptions contribute to socio-behavioral deficits experienced by patients with disorders of HPIT involvement. A better understanding of the biological underpinnings of patients' socio-behavioral symptoms is now needed to enable the development of the first targeted pharmacological strategies by which to manage patients' socio-behavioral dysfunction.

The impact of autism-related training programs on physician knowledge, self-efficacy, and practice behavior: A systematic review.

LAY ABSTRACT: Autism spectrum disorder is estimated to impact 1.5 million children and almost 5.5 million adults. However, most physicians do not receive training on how to provide care to this increasingly large group of people. After performing a systematic review of the literature and screening over 4,500 unique articles focused on the effectiveness of autism-specific training programs designed for physicians and physician trainees, we determined that 17 studies met the pre-determined criteria for inclusion in this systematic review. The results reported by these studies suggest that by completing specialized training programs related to autism, physicians were more knowledgeable on topics related to the condition, more confident in their ability to provide care to autistic individuals, and more likely to screen their patients for autism spectrum disorder. However, further studies with higher quality data are needed to validate these findings and provide additional insight on the ability of these programs to improve physician behavior and patient outcomes. We are therefore advocating that medical educators develop and evaluate specialized autism training programs with an increased focus on improving physician behavior related to all aspects of providing care to autistic people.

Investigating Electrode Flooding in a Flowing Electrolyte, Gas-Fed Carbon Dioxide Electrolyzer.

Managing the gas-liquid interface within gas-diffusion electrodes (GDEs) is key to maintaining high product selectivities in carbon dioxide electroreduction. By screening silver-catalyzed GDEs over a range of applied current densities, an inverse correlation was observed between carbon monoxide selectivity and the electrochemical double-layer capacitance, a proxy for wetted electrode area. Plotting current-dependent performance as a function of cumulative charge led to data collapse onto a single sigmoidal curve indicating that the passage of faradaic current accelerates flooding. It was hypothesized that high cathode alkalinity, driven by both initial electrolyte conditions and cathode half-reactions, promotes carbonate formation and precipitation which, in turn, facilitates electrolyte permeation. This mechanism was reinforced by the observations that post-test GDEs retain less hydrophobicity than pristine materials and that water-rinsing and drying electrodes temporarily recovers peak selectivity. This knowledge offers an opportunity to design electrodes with greater carbonation tolerance to improve device longevity.

Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays.

Cancer patients with an aberrant regulation of the protein phosphorylation networks are often treated with the tyrosine kinase inhibitors. Response rates approaching 85% are common. Unfortunately, patients often become refractory to the treatment by altering their signal transduction pathways. An implementation of the expression profiling with microarrays can identify the overall mRNA-level changes, and proteomics can identify the overall changes in protein levels or can identify the proteins involved, but the activity of the signal transduction pathways can only be established by interrogating post-translational modifications of the proteins. As a result, the ability to identify whether a drug treatment is successful or whether resistance arose, or the ability to characterize any alterations in the signaling pathways, is an important clinical challenge. Here, we provide a detailed explanation of antibody arrays as a tool which can identify system-wide alterations in various post-translational modifications (e.g., phosphorylation). One of the advantages of using antibody arrays includes their accessibility (an array does not require either an expert in proteomics or costly equipment) and speed. The availability of arrays targeting a combination of post-translational modifications is the primary limitation. In addition, unbiased approaches (phosphoproteomics) may be more suitable for the novel discovery, whereas antibody arrays are ideal for the most widely characterized targets.

Smoking and Lung Cancer Mortality in the United States From 2015 to 2065: A Comparative Modeling Approach.

Background: Tobacco control efforts implemented in the United States since the 1960s have led to considerable reductions in smoking and smoking-related diseases, including lung cancer. Objective: To project reductions in tobacco use and lung cancer mortality from 2015 to 2065 due to existing tobacco control efforts. Design: Comparative modeling approach using 4 simulation models of the natural history of lung cancer that explicitly relate temporal smoking patterns to lung cancer rates. Setting: U.S. population, 1964 to 2065. Participants: Adults aged 30 to 84 years. Measurements: Models were developed using U.S. data on smoking (1964 to 2015) and lung cancer mortality (1969 to 2010). Each model projected lung cancer mortality by smoking status under the assumption that current decreases in smoking would continue into the future (status quo trends). Sensitivity analyses examined optimistic and pessimistic scenarios. Results: Under the assumption of continued decreases in smoking, age-adjusted lung cancer mortality was projected to decrease by 79% between 2015 and 2065. Concomitantly, and despite the expected growth, aging, and longer life expectancy of the U.S. population, the annual number of lung cancer deaths was projected to decrease from 135 000 to 50 000 (63% reduction). However, 4.4 million deaths from lung cancer are still projected to occur in the United States from 2015 to 2065, with about 20 million adults aged 30 to 84 years continuing to smoke in 2065. Limitation: Projections assumed no changes to tobacco control efforts in the future and did not explicitly consider the potential effect of lung cancer screening. Conclusion: Tobacco control efforts implemented since the 1960s will continue to reduce lung cancer rates well into the next half-century. Additional prevention and cessation efforts will be required to sustain and expand these gains to further reduce the lung cancer burden in the United States. Primary Funding Source: National Cancer Institute.

Comparing benefits from many possible computed tomography lung cancer screening programs: extrapolating from the National Lung Screening Trial using comparative modeling.

BACKGROUND: The National Lung Screening Trial (NLST) demonstrated that in current and former smokers aged 55 to 74 years, with at least 30 pack-years of cigarette smoking history and who had quit smoking no more than 15 years ago, 3 annual computed tomography (CT) screens reduced lung cancer-specific mortality by 20% relative to 3 annual chest X-ray screens. We compared the benefits achievable with 576 lung cancer screening programs that varied CT screen number and frequency, ages of screening, and eligibility based on smoking. METHODS AND FINDINGS: We used five independent microsimulation models with lung cancer natural history parameters previously calibrated to the NLST to simulate life histories of the US cohort born in 1950 under all 576 programs. 'Efficient' (within model) programs prevented the greatest number of lung cancer deaths, compared to no screening, for a given number of CT screens. Among 120 'consensus efficient' (identified as efficient across models) programs, the average starting age was 55 years, the stopping age was 80 or 85 years, the average minimum pack-years was 27, and the maximum years since quitting was 20. Among consensus efficient programs, 11% to 40% of the cohort was screened, and 153 to 846 lung cancer deaths were averted per 100,000 people. In all models, annual screening based on age and smoking eligibility in NLST was not efficient; continuing screening to age 80 or 85 years was more efficient. CONCLUSIONS: Consensus results from five models identified a set of efficient screening programs that include annual CT lung cancer screening using criteria like NLST eligibility but extended to older ages. Guidelines for screening should also consider harms of screening and individual patient characteristics.

Patterns of birth cohort-specific smoking histories, 1965-2009.

BACKGROUND: Characterizing the smoking patterns for different birth cohorts is essential for evaluating the impact of tobacco control interventions and predicting smoking-related mortality, but the process of estimating birth cohort smoking histories has received limited attention. PURPOSE: Smoking history summaries were estimated beginning with the 1890 birth cohort in order to provide fundamental parameters that can be used in studies of cigarette smoking intervention strategies. METHODS: U.S. National Health Interview Surveys conducted from 1965 to 2009 were used to obtain cross-sectional information on current smoking behavior. Surveys that provided additional detail on history for smokers including age at initiation and cessation and smoking intensity were used to construct smoking histories for participants up to the date of survey. After incorporating survival differences by smoking status, age-period-cohort models with constrained natural splines were used to estimate the prevalence of current, former, and never smokers in cohorts beginning in 1890. This approach was then used to obtain yearly estimates of initiation, cessation, and smoking intensity for the age-specific distribution for each birth cohort. These rates were projected forward through 2050 based on recent trends. RESULTS: This summary of smoking history shows clear trends by gender, cohort, and age over time. If current patterns persist, a slow decline in smoking prevalence is projected from 2010 through 2040. CONCLUSIONS: A novel method of generating smoking histories has been applied to develop smoking histories that can be used in micro-simulation models, and has been incorporated in the National Cancer Institute's Smoking History Generator. These aggregate estimates developed by age, gender, and cohort will provide a complete source of smoking data over time.

Genetic Simulation Resources: a website for the registration and discovery of genetic data simulators.

SUMMARY: Many simulation methods and programs have been developed to simulate genetic data of the human genome. These data have been widely used, for example, to predict properties of populations retrospectively or prospectively according to mathematically intractable genetic models, and to assist the validation, statistical inference and power analysis of a variety of statistical models. However, owing to the differences in type of genetic data of interest, simulation methods, evolutionary features, input and output formats, terminologies and assumptions for different applications, choosing the right tool for a particular study can be a resource-intensive process that usually involves searching, downloading and testing many different simulation programs. Genetic Simulation Resources (GSR) is a website provided by the National Cancer Institute (NCI) that aims to help researchers compare and choose the appropriate simulation tools for their studies. This website allows authors of simulation software to register their applications and describe them with well-defined attributes, thus allowing site users to search and compare simulators according to specified features. AVAILABILITY: http://popmodels.cancercontrol.cancer.gov/gsr.

Chapter 13: CISNET lung models: comparison of model assumptions and model structures.

Sophisticated modeling techniques can be powerful tools to help us understand the effects of cancer control interventions on population trends in cancer incidence and mortality. Readers of journal articles are, however, rarely supplied with modeling details. Six modeling groups collaborated as part of the National Cancer Institute's Cancer Intervention and Surveillance Modeling Network (CISNET) to investigate the contribution of U.S. tobacco-control efforts toward reducing lung cancer deaths over the period 1975-2000. The six models included in this monograph were developed independently and use distinct, complementary approaches toward modeling the natural history of lung cancer. The models used the same data for inputs, and agreed on the design of the analysis and the outcome measures. This article highlights aspects of the models that are most relevant to similarities of or differences between the results. Structured comparisons can increase the transparency of these complex models.

Chapter 5: Actual and counterfactual smoking prevalence rates in the U.S. population via microsimulation.

The smoking history generator (SHG) developed by the National Cancer Institute simulates individual life/smoking histories that serve as inputs for the Cancer Intervention and Surveillance Modeling Network (CISNET) lung cancer models. In this chapter, we review the SHG inputs, describe its outputs, and outline the methodology behind it. As an example, we use the SHG to simulate individual life histories for individuals born between 1890 and 1984 for each of the CISNET smoking scenarios and use those simulated histories to compute the corresponding smoking prevalence over the period 1975-2000.

Health insurer policies toward risk-stratified colorectal cancer screening: a survey of health plan medical directors.

OBJECTIVES: We sought to determine whether health insurance coverage of colorectal cancer (CRC) screening varied based on risk. BACKGROUND: Population-wide screening guidelines for cancer often incorporate risk information, with modified screening recommendations for those at higher risk due to family history or other factors. METHODS: In a nationwide Internet- and mail-based survey of health insurance plan medical directors, respondents were asked about their organization's policies towards coverage of CRC screening for persons at average and higher risk of CRC. Additional questions asked about whether the insurer had a definition of increased risk, and coverage of genetic testing for familial CRC syndromes. RESULTS: Survey invitations were sent to 1158 medical directors; 133 (11%) completed the survey. All plans covered screening for average and high-risk persons. The onset of screening was earlier and intervals were more frequent for higher risk compared to average risk persons, with most respondents stating coverage was determined by "physician discretion." While 75% had a definition of high risk, only 55% covered genetic testing. CONCLUSIONS: Most insurers offer enhanced coverage of CRC screening, most commonly following the discretion of the physician. Whether this coverage results in earlier, more frequent, or more complete screening of higher risk persons remains uncertain.

Impact of reduced tobacco smoking on lung cancer mortality in the United States during 1975-2000.

BACKGROUND: Considerable effort has been expended on tobacco control strategies in the United States since the mid-1950s. However, we have little quantitative information on how changes in smoking behaviors have impacted lung cancer mortality. We quantified the cumulative impact of changes in smoking behaviors that started in the mid-1950s on lung cancer mortality in the United States over the period 1975-2000. METHODS: A consortium of six groups of investigators used common inputs consisting of simulated cohort-wise smoking histories for the birth cohorts of 1890 through 1970 and independent models to estimate the number of US lung cancer deaths averted during 1975-2000 as a result of changes in smoking behavior that began in the mid-1950s. We also estimated the number of deaths that could have been averted had tobacco control been completely effective in eliminating smoking after the Surgeon General's first report on Smoking and Health in 1964. RESULTS: Approximately 795,851 US lung cancer deaths were averted during the period 1975-2000: 552,574 among men and 243,277 among women. In the year 2000 alone, approximately 70,218 lung cancer deaths were averted: 44,135 among men and 26,083 among women. However, these numbers are estimated to represent approximately 32% of lung cancer deaths that could have potentially been averted during the period 1975-2000, 38% of the lung cancer deaths that could have been averted in 1991-2000, and 44% of lung cancer deaths that could have been averted in 2000. CONCLUSIONS: Our results reflect the cumulative impact of changes in smoking behavior since the 1950s. Despite a large impact of changing smoking behaviors on lung cancer deaths, lung cancer remains a major public health problem. Continued efforts at tobacco control are critical to further reduce the burden of this disease.

Colony-stimulating factor use and impact on febrile neutropenia among patients with newly diagnosed breast, colorectal, or non-small cell lung cancer who were receiving chemotherapy.

STUDY OBJECTIVE: To determine the impact of primary prophylactic colony-stimulating factor (CSF) use on febrile neutropenia in a large patient population receiving contemporary chemotherapy regimens to treat breast cancer, colorectal cancer, or non-small cell lung cancer (NSCLC). DESIGN: Retrospective claims analysis. DATA SOURCES: The Surveillance, Epidemiology, and End Results (SEER)-Puget Sound cancer registry and insurance claims records. PATIENTS: A total of 2728 patients aged 25 years or older who received a diagnosis of breast cancer (998 patients), colorectal cancer (688 patients), or NSCLC (1042 patients) between January 1, 2002, and December 31, 2005, and received chemotherapy. MEASUREMENTS AND MAIN RESULTS: Initial chemotherapy regimen, CSF use (filgrastim or pegfilgrastim), and febrile neutropenia events were evaluated after the first chemotherapy administration. Subsequently, febrile neutropenia rates in patients receiving primary prophylactic CSF were compared with febrile neutropenia rates in patients receiving CSF in settings other than primary prophylaxis or not at all. The impact of primary prophylactic CSF could not be assessed for patients with colorectal cancer or NSCLC because only 1 and 18 febrile neutropenia events, respectively, occurred in those receiving primary prophylactic CSF. Of the 998 patients with breast cancer, 72 (7.2%) experienced febrile neutropenia, 28 of whom received primary prophylactic CSF. In the patients with breast cancer, we observed that primary prophylactic CSF use was associated with reduced febrile neutropenia rates; however, the analysis may have been confounded by unmeasured factors associated with febrile neutropenia. CONCLUSION: The impact of primary prophylactic CSFs on febrile neutropenia rates could not be demonstrated. Given the substantive cost of CSFs to pharmacy budgets, there are numerous opportunities for pharmacists to optimize CSF use. Research studies are needed to evaluate if guideline-directed prescribing of primary prophylactic CSFs can improve clinical outcomes.

Online tool to guide decisions for BRCA1/2 mutation carriers.

PURPOSE: Women with BRCA1 or BRCA2 (BRCA1/2) mutations must choose between prophylactic surgeries and screening to manage their high risks of breast and ovarian cancer, comparing options in terms of cancer incidence, survival, and quality of life. A clinical decision tool could guide these complex choices. METHODS: We built a Monte Carlo model for BRCA1/2 mutation carriers, simulating breast screening with annual mammography plus magnetic resonance imaging (MRI) from ages 25 to 69 years and prophylactic mastectomy (PM) and/or prophylactic oophorectomy (PO) at various ages. Modeled outcomes were cancer incidence, tumor features that shape treatment recommendations, overall survival, and cause-specific mortality. We adapted the model into an online tool to support shared decision making. RESULTS: We compared strategies on cancer incidence and survival to age 70 years; for example, PO plus PM at age 25 years optimizes both outcomes (incidence, 4% to 11%; survival, 80% to 83%), whereas PO at age 40 years plus MRI screening offers less effective prevention, yet similar survival (incidence, 36% to 57%; survival, 74% to 80%). To characterize patients' treatment and survivorship experiences, we reported the tumor features and treatments associated with risk-reducing interventions; for example, in most BRCA2 mutation carriers (81%), MRI screening diagnoses stage I, hormone receptor-positive breast cancers, which may not require chemotherapy. CONCLUSION: Cancer risk-reducing options for BRCA1/2 mutation carriers vary in their impact on cancer incidence, recommended treatments, quality of life, and survival. To guide decisions informed by multiple health outcomes, we provide an online tool for joint use by patients with their physicians (http://brcatool.stanford.edu).

Health care use and primary prophylaxis with colony-stimulating factors.

OBJECTIVES: We examined health care use in conjunction with primary prophylaxis use of colony stimulating factors (CSF) during patients' initial course of chemotherapy. METHODS: This retrospective cohort study identified adults aged 25 years and older with a diagnosis of breast, colorectal, or nonsmall cell lung cancer between 2002 and 2005 from the Western Washington Surveillance Epidemiology and End Results Puget Sound registry. We linked these records to health insurance claims from four payers representing 75% of those insured in the state. Claims records were used to determine chemotherapy regimen type, CSF use, febrile neutropenia occurrences, and supportive care. Chemotherapy regimens were categorized as conferring high, intermediate, or low risk of myelosuppression according to the National Comprehensive Cancer Network guidelines. CSF use was described as primary prophylaxis, other, or none. Antibiotics and antifungal and antiviral agents per National Comprehensive Cancer Network guidelines for supportive care for cancer infection were categorized using Healthcare Common Procedure Coding System and National Drug Code assignments. RESULTS: Use of CSF as primary prophylaxis is not significantly associated with a reduction in antibiotic use or inpatient or outpatient visits. Primary prophylactic CSF use was associated with less use of antiviral drugs. CONCLUSIONS: CSF use is not associated with a reduction in health care use, with the exception of antiviral drug use. Given the expense associated with CSF use, pragmatic trials and additional research are needed to further assess the affects of CSF on health care use.

Colony-stimulating factor prescribing patterns in patients receiving chemotherapy for cancer.

OBJECTIVE: To examine variables influencing colony-stimulating factor (CSF) prescription as primary prophylaxis versus other use during patients' initial chemotherapy course among a large sample of health insurance records. STUDY DESIGN: Retrospective cohort study. METHODS: Adults 25 years or older with a diagnosis of breast, colorectal, or non-small cell lung cancer (NSCLC) between January 1, 2002, and December 31, 2005, were identified from the western Washington State Surveillance, Epidemiology, and End Results Seattle Puget Sound registry. We linked these records to health insurance claims. Chemotherapy regimens identified from insurance claims were categorized as carrying high, intermediate, or low risk of myelosuppression according to the National Comprehensive Cancer Network guidelines and the literature. Colony-stimulating factor use was described as primary prophylaxis, other use, or no use, and logistic regression analysis identified factors associated with CSF use. RESULTS: For patients with breast cancer, colorectal cancer, and NSCLC, respectively, 58%, 0%, and 28% received CSFs as primary prophylaxis in conjunction with high-risk chemotherapy regimens, whereas 10%, 7%, and 21% did so in conjunction with low-risk chemotherapy regimens. Prophylactic CSF use increased from 2002 to 2005 for breast cancer but remained constant for colorectal cancer and for NSCLC. CONCLUSIONS: As primary prophylaxis, CSF use is underutilized based on recommendations for patients having cancer who receive chemotherapy regimens carrying high febrile neutropenia risk and may be overutilized for patients who receive chemotherapy regimens carrying low febrile neutropenia risk. Further research is needed to understand the barriers to implementing guidelines in clinical practice.

Will knowledge of gene-based colorectal cancer disease risk influence quality of life and screening behavior? Findings from a population-based study.

BACKGROUND: Several gene variants conveying a modestly increased risk for disease have been described for colorectal cancer. Patient acceptance of gene variant testing in clinical practice is not known. We evaluated the potential impact of hypothetical colorectal-cancer-associated gene variant testing on quality of life, health habits and cancer screening behavior. METHODS: First-degree relatives of colorectal cancer patients and controls from the Seattle Colorectal Cancer Familial Registry were invited to participate in a web-based survey regarding testing for gene variants associated with colorectal cancer risk. RESULTS: 310 relatives and 170 controls completed the questionnaire. Quality of life for the hypothetical carrier state was modestly and nonsignificantly lower than current health after adjustment for sociodemographic and health factors. In the positive test scenario, 30% of respondents expressed willingness to change their diet, 25% to increase exercise, and 43% to start colorectal cancer screening. The proportions willing to modify these habits did not differ between groups. CONCLUSIONS: Testing for gene variants associated with colorectal cancer risk may not influence quality of life, but may impact health habits and screening adherence. Changing behaviors as a result of testing may help to reduce cancer incidence and mortality, particularly among those at higher risk for colorectal cancer.

Additional common inputs for analyzing impact of adjuvant therapy and mammography on U.S. mortality.

In estimating the impact of mammography and adjuvant treatment on U.S. breast cancer mortality rates, several parameters were common to all the Cancer Intervention and Surveillance Modeling Network (CISNET) models participating in the breast cancer base case. Models either used the parameters directly as input or calibrated their models to reproduce the common set of parameters. This chapter describes the common input parameters that are not specifically discussed elsewhere in the monograph.

A comparative review of CISNET breast models used to analyze U.S. breast cancer incidence and mortality trends.

The CISNET Breast Cancer program is a National Cancer Institute-sponsored collaboration composed of seven research groups that have modeled the impact of screening and adjuvant treatment on trends in breast cancer incidence and mortality over the period 1975-2000 (base case). This collaboration created a unique opportunity to make direct comparison of results from different models of population-based cancer screening produced in response to the same question. Comparing results in all but the most cursory way necessitates comparison of the models themselves. Previous chapters have discussed the models individual in detail. This chapter will aid the reader in understanding key areas of difference between the models. A focused analysis of differences and similarities between the models is presented with special attention paid to areas deemed most likely to contribute substantially to the results of the target analysis.

Impact of adjuvant therapy and mammography on U.S. mortality from 1975 to 2000: comparison of mortality results from the cisnet breast cancer base case analysis.

The CISNET breast cancer program is a consortium of seven research groups modeling the impact of various cancer interventions on the national trends of breast cancer incidence and mortality. Each of the modeling groups participated in a CISNET breast cancer base case analysis with the objective of assessing the impact of mammography and adjuvant therapy on breast cancer mortality between 1975 and 2000. The comparative modeling approach used to address this question allowed for a unique view into the process of modeling. Results shown here expand on those recently reported in the New England Journal of Medicine (Berry et al., N Engl J Med 2005;353:1784-92) by presenting mortality impact in several different ways to facilitate comparisons between models. Comparisons of each group's results in the context of modeling assumptions made during the process gave insight into how specific model assumptions may have affected the results. The median estimate for the percent decline in breast cancer mortality due to mammography was 15% (range of 8%-23%), and the median estimate for the percent decline in mortality due to adjuvant treatment was 19% (range of 12%-21%). A detailed discussion of the differences in modeling approaches and how those differences may have influenced the mortality results concludes the chapter.