Survival analysis of dental implants placed in a private practice. A multicenter prospective cohort study.

Background: This prospective cohort study aimed to assess the predictability and survival rates of dental implant treatment in edentulous patients while identifying potential factors contributing to implant failure. Material and Methods: A total of 80 outpatients, receiving 166 dental implants between September 2015 and November 2017 in two private dental clinics, were included in this study. Patient and implant characteristics, surgical procedures, primary stability, prosthetic rehabilitation, failure analysis, and survival rates were analyzed. Results: The majority of patients (53.75%) received a single implant for treating single-gap edentulism, with 6.25% requiring implants for fully edentulous jaws. Most implants (66.87%) were Avinent Ocean IC implants with specific design features. Surgical placement primarily occurred in healed pristine bone (78.31%), immediate implants in fresh extraction sockets (19.88%), and bone regeneration was simultaneous in 15.66% of cases. While 54.82% of implants achieved primary stability over 35Ncm, none exceeded 45Ncm, and only 4.82% failed to attain primary stability. Prosthetic rehabilitation revealed that 13.25% received immediate loading prostheses. During follow-up, four implants failed, resulting in a 2.41% failure rate, with bruxism (HR: 96.62; P< 0.001) and absence of primary stability (HR: 23.54; P< 0.001) significantly associated with implant failure. The cumulative survival rate at 24 months was 97.44%. Conclusions: This study demonstrates the high predictability and survival rates of dental implant treatment in edentulous patients, consistent with established standards. Factors such as bruxism and primary stability may impact early implant failure. Dental implants remain a reliable treatment option, boasting a 97.44% cumulative survival rate at 24 months. Further research is required to explore implant failure indicators and multifactorial influences. Key words:Dental implants, survival, edentulous patients.

Laplacian Projection Based Global Physical Prior Smoke Reconstruction.

We present a novel framework for reconstructing fluid dynamics in real-life scenarios. Our approach leverages sparse view images and incorporates physical priors across long series of frames, resulting in reconstructed fluids with enhanced physical consistency. Unlike previous methods, we utilize a differentiable fluid simulator (DFS) and a differentiable renderer (DR) to exploit global physical priors, reducing reconstruction errors without the need for manual regularization coefficients. We introduce divergence-free Laplacian eigenfunctions (div-free LE) as velocity bases, improving computational efficiency and memory usage. By employing gradient-related strategies, we achieve better convergence and superior results. Extensive experiments demonstrate the effectiveness of our method, showcasing improved reconstruction quality and computational efficiency compared to existing approaches. We validate our approach using both synthetic and real data, highlighting its practical potential.

Multi-Task Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising.

In many human-computer interaction applications, fast and accurate hand tracking is necessary for an immersive experience. However, raw hand motion data can be flawed due to issues such as joint occlusions and high-frequency noise, hindering the interaction. Using only current motion for interaction can lead to lag, so predicting future movement is crucial for a faster response. Our solution is the Multi-task Spatial-Temporal Graph Auto-Encoder (Multi-STGAE), a model that accurately denoises and predicts hand motion by exploiting the inter-dependency of both tasks. The model ensures a stable and accurate prediction through denoising while maintaining motion dynamics to avoid over-smoothed motion and alleviate time delays through prediction. A gate mechanism is integrated to prevent negative transfer between tasks and further boost multi-task performance. Multi-STGAE also includes a spatial-temporal graph autoencoder block, which models hand structures and motion coherence through graph convolutional networks, reducing noise while preserving hand physiology. Additionally, we design a novel hand partition strategy and hand bone loss to improve natural hand motion generation. We validate the effectiveness of our proposed method by contributing two large-scale datasets with a data corruption algorithm based on two benchmark datasets. To evaluate the natural characteristics of the denoised and predicted hand motion, we propose two structural metrics. Experimental results show that our method outperforms the state-of-the-art, showcasing how the multi-task framework enables mutual benefits between denoising and prediction.

A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis.

As the most common idiopathic inflammatory myopathy in children, juvenile dermatomyositis (JDM) is characterized by skin rashes and muscle weakness. The childhood myositis assessment scale (CMAS) is commonly used to measure the degree of muscle involvement for diagnosis or rehabilitation monitoring. On the one hand, human diagnosis is not scalable and may be subject to personal bias. On the other hand, automatic action quality assessment (AQA) algorithms cannot guarantee 100% accuracy, making them not suitable for biomedical applications. As a solution, we propose a video-based augmented reality system for human-in-the-loop muscle strength assessment of children with JDM. We first propose an AQA algorithm for muscle strength assessment of JDM using contrastive regression trained by a JDM dataset. Our core insight is to visualize the AQA results as a virtual character facilitated by a 3D animation dataset, so that users can compare the real-world patient and the virtual character to understand and verify the AQA results. To allow effective comparisons, we propose a video-based augmented reality system. Given a feed, we adapt computer vision algorithms for scene understanding, evaluate the optimal way of augmenting the virtual character into the scene, and highlight important parts for effective human verification. The experimental results confirm the effectiveness of our AQA algorithm, and the results of the user study demonstrate that humans can more accurately and quickly assess the muscle strength of children using our system.

Decreasing waiting time for new patients at a community pain clinic.

Long waiting time to access pain medicine clinics poses a significant mental, physical, and socioeconomic burden on patients with chronic pain. This project aimed to develop interventions to reduce the waiting time for new referrals. We used the define, measure, analyze, improve, control (DMAIC) method. Clinic data were analyzed over a 6-month period. Pilot interventions were then implemented in one provider's clinic over a 3-month period. Outcome measures included the number of new patients seen, number of "no shows," and number of patients on the waitlist. Late cancellation and no shows were the main causes of the clinic lost time. Interventions to reduce unutilized clinic time were implemented, including making appointment reminder calls, identifying cancellations in advance, and adding slots on the provider's template to account for cancellations and no shows. These interventions resulted in a 16% decrease in no shows, a 60% increase in new patients seen, and a significant 47% reduction in the number of patients on the entire clinic waitlist. These findings suggest that simple procedures and changes in the clinic identified via a quality improvement process can significantly improve clinic time utilization.

Solvent-free, Noncontact Electrostatic Sampling for Rapid Analysis with Mass Spectrometry: Application to Drugs and Explosives.

A hand-held Van de Graaf generator is used to apply a high voltage, negligible current electrostatic potential to a wire mesh positioned in close proximity to a particle-laden surface in order to collect those particles for analysis. The electrostatic field effects transfer particles to the mesh without a requirement for mechanical contact between mesh and surface. Analysis of chemicals present in the sampled particles is completed by thermal desorption electrospray ionization. The utility of the method for noncontact sampling is demonstrated using solid drug powder samples, and inorganic explosives dispersed either on solid surfaces or in sand/soil in order to simulate common interfering matrices that might be encountered in the forensic environment. A metal mesh sampling substrate is utilized instead of traditional polymer-based swabs in order to permit thermal desorption at higher temperatures. The method leaves no visible trace of sampling leaving details such as a fingerprint image unperturbed, as demonstrated using fluorescence photography. Direct sampling of trace particles from hard surfaces and skin documents flexibility in the choice of sampling substrates, desorption temperatures, and sampling times. The potential of the device for use in forensic analyses is detailed.

Rapid fingerprinting of source and environmental microplastics using direct analysis in real time-high resolution mass spectrometry.

Microplastics are ubiquitous in the aquatic and terrestrial environment. To prevent further contamination, methods to determine their sources are needed. Techniques to quantify and characterize microplastics in the environment are still evolving for polymers and the additives and leachable substances embedded therein, which constitute the "chemical fingerprint" of an environmental microplastic. There is a critical need for analytical methods that yield such diagnostic information on environmental microplastics that enables identification of their composition and sources of pollution. This study reports on a novel approach for rapid fingerprinting of environmental microplastics and the screening of additives using Direct Analysis in Real Time (DART)-high resolution mass spectrometry. A variety of plastic samples were investigated, including virgin pre-production pellets, microbeads from personal care products, microplastics found in the aquatic environment, and synthetic fibers. The resulting mass spectra display ∼10,000 discrete peaks, corresponding to plastic additives released by thermal desorption and polymer degradation products generated by pyrolysis. These were used to characterize differences among plastic types, microplastic source materials, and environmental samples. Multivariate statistics and elemental composition analysis approaches were applied to analyze fingerprints from the mass spectra. This promising analytical approach is sensitive, (potentially) high-throughput, and can aid in the elucidation of possible sources of microplastics and perhaps eventually to the analysis of bulk environmental samples for plastics.

Effect of reducing sample volume on the detection of drugs in urine by transmission mode direct analysis in real time mass spectrometry.

RATIONALE: Matrix interference attributed to urea and other nitrogenous substances in unprocessed urine is significant. In this study desorption ionization of sub-microliter volume samples is performed in an effort to improve the detection of drugs in unprocessed urine using transmission mode-direct analysis in real time mass spectrometry (TM-DART-MS). METHODS: Urine samples were spiked with analytical standards of two drugs of abuse, codeine and methadone. Various sub-microliter volumes of unprocessed urine were deposited onto wire mesh screen consumables and analyzed using TM-DART for desorption ionization and a high-resolution mass spectrometer operated in full scan mode for mass analysis. A 22 factorial design of experiment (DOE) was employed to examine the effects of sample volume and sample introduction speed to the DART source. RESULTS: Results from analysis of one microliter and sub-microliter sample volumes were compared by measuring the signal produced by TM-DART-MS. Based on an α of 0.05, the lower-volume samples yielded spectra where the abundance of urea and creatinine ions was reduced, thus significantly improving the TM-DART-MS signal for drugs of abuse. Using slower sample introduction speeds increased the time during which the sample was exposed to the heated ionization gas, resulting in a significant increase in the TM-DART-MS signal. CONCLUSIONS: Reducing the sample volume to sub-microliter levels improved the detection of drugs of abuse present as either individual or multiple components of the untreated urine. The improved signal demonstrates the potential for using sub-microliter volumes for screening drugs in urine without the need for chromatography or sample pretreatment.

High-throughput quantification of drugs of abuse in biofluids via 96-solid-phase microextraction-transmission mode and direct analysis in real time mass spectrometry.

RATIONALE: The workload of clinical laboratories has been steadily increasing over the last few years. High-throughput (HT) sample processing allows scientists to spend more time undertaking matters of critical thinking rather than laborious sample processing. Herein we introduce a HT 96-solid-phase microextraction (SPME) transmission mode (TM) system coupled to direct analysis in real time (DART) mass spectrometry (MS). METHODS: Model compounds (opioids) were extracted from urine and plasma samples using a 96-SPME-TM device. A standard voltage and pressure (SVP) DART source was used for all experiments. Examination of SPME-TM performance was done using high-resolution mass spectrometry (HRMS) in full scan mode (100-500 m/z), whereas quantitation of opioids was performed using triple quadrupole MS in multiple reaction monitoring mode and by using a matrix-matched internal standard correction method. RESULTS: Thirteen points (0.5 to 200 ng mL-1 ) were used to establish a calibration curve. Low limits of quantitation (LOQ) were obtained (0.5 to 25 ng mL-1 ) for matrices used. Acceptable accuracy (71.4-129.4%) and repeatability (1.1-24%) were obtained for validation levels tested (0.5, 30 and 90 ng mL-1 ). In less than 1.5 hours, 96 samples were extracted, desorbed and processed using the 96-SPME-TM system coupled to DART-MS. CONCLUSIONS: A rapid HT method for detection of opioids in urine and plasma samples was developed. This study demonstrated that ambient ionization mass spectrometry coupled to robust sample preparation methods such as SPME-TM can rapidly and efficiently screen/quantify target analytes in a HT context.

High-Throughput Extraction and Detection of Drugs in Urine: Parallel Sampling with Solid-Phase Microextraction (SPME) Fibers Coupled with Direct Analysis in Real Time-Mass Spectrometry (DART-MS) Detection.

Determination of drugs of abuse in urine is routinely accomplished by utilizing solid-phase extraction to isolate the drugs and gas chromatography/mass spectrometry (GC/MS) for their detection. Although robotic systems are employed, throughput is limited by the extraction process and GC chromatographic separation.A method that utilizes an array of 12 solid-phase microextraction (SPME) fibers for simultaneous isolation of drugs of abuse from urine is provided as a means to increase productivity. A SPME probe holder that permits movement of up to 12 fibers through the various steps of the extraction process in parallel is utilized. Use of an automated stage for fiber presentation into the ionization region of a Direct Analysis in Real Time equipped LC/MS facilitates rapid interrogation of each SPME.

A method for rapid sampling and characterization of smokeless powder using sorbent-coated wire mesh and direct analysis in real time - mass spectrometry (DART-MS).

Improvised explosive devices (IEDs) are often used by terrorists and criminals to create public panic and destruction, necessitating rapid investigative information. However, backlogs in many forensic laboratories resulting in part from time-consuming GC-MS and LC-MS techniques prevent prompt analytical information. Direct analysis in real time - mass spectrometry (DART-MS) is a promising analytical technique that can address this challenge in the forensic science community by permitting rapid trace analysis of energetic materials. Therefore, we have designed a qualitative analytical approach that utilizes novel sorbent-coated wire mesh and dynamic headspace concentration to permit the generation of information rich chemical attribute signatures (CAS) for trace energetic materials in smokeless powder with DART-MS. Sorbent-coated wire mesh improves the overall efficiency of capturing trace energetic materials in comparison to swabbing or vacuuming. Hodgdon Lil' Gun smokeless powder was used to optimize the dynamic headspace parameters. This method was compared to traditional GC-MS methods and validated using the NIST RM 8107 smokeless powder reference standard. Additives and energetic materials, notably nitroglycerin, were rapidly and efficiently captured by the Carbopack X wire mesh, followed by detection and identification using DART-MS. This approach has demonstrated the capability of generating comparable results with significantly reduced analysis time in comparison to GC-MS. All targeted components that can be detected by GC-MS were detected by DART-MS in less than a minute. Furthermore, DART-MS offers the advantage of detecting targeted analytes that are not amenable to GC-MS. The speed and efficiency associated with both the sample collection technique and DART-MS demonstrate an attractive and viable potential alternative to conventional techniques.

Behavioural and neuronal activation after microinjections of AMPA and NMDA into the perifornical lateral hypothalamus in rats.

The perifornical lateral hypothalamic area (PeFLH), which houses orexin/hypocretin (OX) neurons, is thought to play an important role in arousal, feeding, and locomotor activity. The present study examined behavioural effects of activating PeFLH neurons with microinjections of ionotropic glutamate receptor agonists. Three separate unilateral microinjections of either (1) AMPA (1 and 2mM in 0.1 µL artificial cerebrospinal fluid, ACSF) and ACSF, or (2) NMDA (1 and 10mM in 0.1 µL ACSF), and ACSF were made into the PeFLH of adult male rats. Following each injection, the rats were placed into an open field for behavioural scoring for 45 min. Rats were perfused after the third injection for immunohistochemistry for c-Fos and OX to assess the level of activation of OX neurons. Behavioural analyses showed that, as compared to ACSF conditions, AMPA injections produced a dose-dependent increase in locomotion and rearing that persisted throughout the 45 min recording period, and an increase in drinking. Injection of NMDA at 10mM, but not 1mM, induced a transient increase in locomotion and an increase in feeding. Histological analyses showed that while both agonists increased the number of neurons immunoreactive for c-Fos in the PeFLH, only AMPA increased the number of neurons immunoreactive for both c-Fos and OX. There were positive correlations between the number of c-Fos/OX-immunoreactive neurons and the amounts of locomotion, rearing, and drinking. These results support the role of ionotropic glutamate receptors on OX and other neurons in the PeFLH in the regulation of locomotor and ingestive behaviours.

Gastric cancer in individuals with Li-Fraumeni syndrome.

PURPOSE: Li-Fraumeni syndrome is a rare hereditary cancer syndrome associated with germline mutations in the TP53 gene. Although sarcomas, brain tumors, leukemias, breast and adrenal cortical carcinomas are typically recognized as Li-Fraumeni syndrome-associated tumors, the occurrence of gastrointestinal neoplasms has not been fully evaluated. In this analysis, we investigated the frequency and characteristics of gastric cancer in Li-Fraumeni syndrome. METHODS: Pedigrees and medical records of 62 TP53 mutation-positive families were retrospectively reviewed from the Dana-Farber/National Cancer Institute Li-Fraumeni syndrome registry. We identified subjects with gastric cancer documented either by pathology report or death certificate and performed pathology review of the available specimens. RESULTS: Among 62 TP53 mutation-positive families, there were 429 cancer-affected individuals. Gastric cancer was the diagnosis in the lineages of 21 (4.9%) subjects from 14 families (22.6%). The mean and median ages at gastric cancer diagnosis were 43 and 36 years, respectively (range: 24-74 years), significantly younger compared with the median age at diagnosis in the general population based on Surveillance Epidemiology and End Results data (71 years). Five (8.1%) families reported two or more cases of gastric cancer, and six (9.7%) families had cases of both colorectal and gastric cancers. No association was seen between phenotype and type/location of the TP53 mutations. Pathology review of the available tumors revealed both intestinal and diffuse histologies. CONCLUSIONS: Early-onset gastric cancer seems to be a component of Li-Fraumeni syndrome, suggesting the need for early and regular endoscopic screening in individuals with germline TP53 mutations, particularly among those with a family history of gastric cancer.

Health status of the oldest adult survivors of cancer during childhood.

BACKGROUND: Young adult survivors of childhood cancer have an increased risk for treatment-related morbidity and mortality. In this study, the authors assessed how treatment for childhood cancer affects older-adult health and health practices. METHODS: One hundred seven adults treated for childhood cancer between 1947 and 1968, known to have survived past age 50 years, were identified from a single-institution cohort established in 1975. Updated vital status on eligible cases was obtained from public records. Survivors and a control group of their age-matched siblings and cousins completed a mailed survey to assess physical and social function, healthcare practices, and the prevalence of common adult illnesses. RESULTS: Of the 107 survivors known to be alive at age 50 years, 16 were deceased at follow-up; 7 deaths could be associated with prior treatment (second malignancy in radiation field [3], small bowel obstruction after abdominal radiation [2], and cardiac disease after chest irradiation [2]). The 55 survivors (median age, 56 years; range, 51-71 years), and 32 family controls (median age, 58 years; range, 48-70 years), reported similar health practices, health-related quality of life, and social function. However, survivors reported more frequent visits to healthcare providers (P < .05), more physical impairments (P < .05), fatigue (P = .02), hypertension (P = .001), and coronary artery disease (P = .01). An increased risk of hypertension was associated with nephrectomy during childhood (odds ratio, 18.9; 95% confidence interval, 3.0-118.8). CONCLUSIONS: The oldest adult survivors of childhood cancer continue to be at risk for treatment-related complications that potentially decrease their life expectancy and compromise their quality of life.

Effects of green tea extract on lung cancer A549 cells: proteomic identification of proteins associated with cell migration.

Green tea polyphenols exhibit multiple antitumor activities, and the mechanisms of action are not completely understood. Previously, we reported that green tea extract (GTE)-induced actin remolding is associated with increased cell adhesion and decreased motility in A549 lung cancer cells. To identify the cellular targets responsible for green tea-induced actin remodeling, we performed 2-DE LC-MS/MS of A549 cells before and after GTE exposure. We have identified 14 protein spots that changed in expression (> or =2-fold) after GTE treatment. These proteins are involved in calcium-binding, cytoskeleton and motility, metabolism, detoxification, or gene regulation. In particular we found upregulation of several genes that modulate actin remodeling and cell migration, including lamin A/C. Our data indicated that GTE-induced lamin A/C upregulation appears to be at the transcriptional level and the increased expression results in the decrease in cell motility, as confirmed by siRNA. The result of the study demonstrates that GTE alters the levels of many proteins involved in growth, motility and apoptosis of A549 cells and their identification may explain the multiple antitumor activities of GTE.

Long-term smoking cessation outcomes among childhood cancer survivors in the Partnership for Health Study.

PURPOSE: Partnership for Health (PFH) was found to increase smoking cessation among smokers in the Childhood Cancer Survivors Study (CCSS) at the 8- and 12-month postbaseline follow-up. This report provides outcomes at 2 to 6 years postbaseline; the primary outcome is a four-category smoking status variable (quit at all follow-ups, quit at final follow-up only, smoker at all follow-ups, and smoker at final follow-up only); quit attempts among those who reported smoking at the final follow-up is a secondary outcome. METHODS: PFH was a randomized control trial with two conditions, peer phone counseling (PC) and self-help (SH), that involved smokers (n = 796) enrolled in the CCSS cohort. RESULTS: Long-term quit rates were higher in PC versus SH participants. Long-term smoking cessation outcomes were lower among those who were nicotine dependent, of lower educational levels, and among men, and were higher among those who used nicotine replacement therapy and who had higher levels of situational self-efficacy. There were no significant differences in relapse rates between conditions or in quit attempts among continued smokers. CONCLUSION: Cessation rates continue to be significantly higher among participants in the PC condition versus SH, although the differences were not large. This article highlights differences in long-term engagement with smoking cessation among those who received the intervention.

F18-fluorodeoxyglucose-positron emission tomography/computed tomography screening in Li-Fraumeni syndrome.

CONTEXT: Individuals with Li-Fraumeni syndrome (LFS) have an inherited cancer predisposition to a diverse array of malignancies beginning early in life; survivors of one cancer have a markedly elevated risk of additional primary tumors. The underlying genetic defect in the majority of the families is a germline mutation in the TP53 tumor suppressor gene. The diversity of tumors and rarity of families have contributed to the difficulty in devising effective screening recommendations for members of LFS kindreds. OBJECTIVE: To gather preliminary data with which to evaluate F18-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) imaging as a potential surveillance modality to detect early malignancies in asymptomatic members of LFS kindreds. DESIGN, SETTING, AND PARTICIPANTS: Members of LFS families with documented germline TP53 mutations or obligate carrier status, no history of cancer within 5 years of enrollment, and no symptoms of cancer or ill-health were offered FDG-PET/CT scanning as a screening test in a comprehensive US cancer center from 2006 to 2007. Scans were initially reviewed clinically, then centrally reviewed by an expert radiologist. MAIN OUTCOME MEASURE: The primary outcome was the detection of new primary cancers using FDG-PET/CT scanning. RESULTS: Of 15 individuals, baseline FDG-PET/CT scan identified asymptomatic cancers in 3 (20%). Two individuals had papillary thyroid cancers (stage II and stage III) and one individual had stage II esophageal adenocarcinoma. CONCLUSIONS: These preliminary data provide the first evidence for a potential cancer surveillance strategy that may be worthy of further investigation for patients with LFS. Concerns about radiation exposure and other challenges inherent in screening high-risk patients will require further consideration.

Prevalence of pathogenic BRCA1 mutation carriers in 5 US racial/ethnic groups.

CONTEXT: Information on the prevalence of pathogenic BRCA1 mutation carriers in racial/ethnic minority populations is limited. OBJECTIVE: To estimate BRCA1 carrier prevalence in Hispanic, African American, and Asian American female breast cancer patients compared with non-Hispanic white patients with and without Ashkenazi Jewish ancestry. DESIGN, SETTING, AND PARTICIPANTS: We estimated race/ethnicity-specific prevalence of BRCA1 in a population-based, multiethnic series of female breast cancer patients younger than 65 years at diagnosis who were enrolled at the Northern California site of the Breast Cancer Family Registry during the period 1996-2005. Race/ethnicity and religious ancestry were based on self-report. Weighted estimates of prevalence and 95% confidence intervals (CIs) were based on Horvitz-Thompson estimating equations. MAIN OUTCOME MEASURE: Estimates of BRCA1 prevalence. RESULTS: Estimates of BRCA1 prevalence were 3.5% (95% CI, 2.1%-5.8%) in Hispanic patients (n = 393), 1.3% (95% CI, 0.6%-2.6%) in African American patients (n = 341), and 0.5% (95% CI, 0.1%-2.0%) in Asian American patients (n = 444), compared with 8.3% (95% CI, 3.1%-20.1%) in Ashkenazi Jewish patients (n = 41) and 2.2% (95% CI, 0.7%-6.9%) in other non-Hispanic white patients (n = 508). Prevalence was particularly high in young (<35 years) African American patients (5/30 patients [16.7%]; 95% CI, 7.1%-34.3%). 185delAG was the most common mutation in Hispanics, found in 5 of 21 carriers (24%). CONCLUSIONS: Among African American, Asian American, and Hispanic patients in the Northern California Breast Cancer Family Registry, the prevalence of BRCA1 mutation carriers was highest in Hispanics and lowest in Asian Americans. The higher carrier prevalence in Hispanics may reflect the presence of unrecognized Jewish ancestry in this population.

Green tea induces annexin-I expression in human lung adenocarcinoma A549 cells: involvement of annexin-I in actin remodeling.

Green tea polyphenols exhibit multiple antitumor activities in various in vitro and in vivo tumor models, and the mechanisms of action are not clear. Previously, we found that green tea extract (GTE) regulates actin remodeling in different cell culture systems. Actin remodeling plays an important role in cancer cell morphology, cell adhesion, motility, and invasion. Using proteomic approaches, we found GTE-induced expression of annexin-I, a multifunctional actin binding protein, in these cell lines. In this study, we aimed to further define the functional role of GTE-induced annexin-I expression in actin remodeling, cell adhesion, and motility in lung adenocarcinoma A549 cells. We found that GTE stimulates the expression of annexin-I in a dose-dependent fashion. The GTE-induced annexin-I expression appears to be at the transcription level, and the increased annexin-I expression mediates actin polymerization, resulting in enhanced cell adhesion and decreased motility. Annexin-I specific interference resulted in loss of GTE-induced actin polymerization and cell adhesion, but not motility. In fact, annexin-I specific interference itself inhibited motility even without GTE. Together, annexin-I plays an important role in GTE-induced actin remodeling, and it may serve as a potential molecular target associated with the anticancer activities of green tea.

Availability of smoking prevention and cessation services for childhood cancer survivors.

OBJECTIVE: To characterize the smoking-related services available to childhood cancer survivors and describe organizational characteristics that were related to institutions' capacity to provide smoking services. METHODS: Institutions affiliated with the Children's Oncology Group were surveyed from 2003 to 2004. RESULTS: Of the 132 responding institutions, 85% assessed the smoking status of their cancer survivors intermittingly, but only 3% assessed smoking status at every visit, as recommended by the PHS guidelines. A minority of sites offered either smoking prevention (39%) or cessation (25%) services; 58% of sites had a mechanism in place to refer survivors for cessation services. In multivariate analyses, the most parsimonious model predicting capacity for smoking service delivery included barriers, respondents' attitudes, complexity, and institutional stability. CONCLUSIONS: These data highlight an important need to improve the availability of smoking services for childhood cancer survivors. Additionally, these findings will inform the development of future interventions that are sensitive to barriers and facilitators to providing prevention services.