A case of immune thrombocytopenic purpura with prolonged aPTT time: A clotter hidden in a bleeder?

We report the case of a 23-year-old woman who presented with prolonged menstruation and multiple bruises on the limbs and trunk. Investigations revealed severe thrombocytopenia and deranged coagulation profile with markedly prolonged activated partial thromboplastin time (aPTT). Lupus anticoagulant, anti-cardiolipin antibody and anti-beta-2-glycoprotein 1 antibody were positive. She was diagnosed with Immune Thrombocytopenic Purpura (ITP) with positive antiphospholipid antibody serology and given a course of intravenous methylprednisolone and tapering doses of oral prednisolone. She was steroid free and had no bleeding or thrombotic event over two years follow up.

Hidden Antipolar Order Parameter and Entangled Néel-Type Charged Domain Walls in Hybrid Improper Ferroelectrics

Hybrid improper ferroelectricity (HIF) denotes a new class of polar instability by the mixture of two octahedral-distortion modes and can feature the coexistence of abundant head-to-head and tail-to-tail polar domains, of which the domain walls tend to be charged due to the respective screening charges with an opposite sign. However, no such coexisting carriers are available in the materials. Using group-theoretical, microscopic, and spectroscopic analyses, we establish the existence of a hidden antipolar order parameter in model HIF (Ca,Sr)_{3}Ti_{2}O_{7} by the condensation of a weak, previously unnoticed antipolar lattice instability, turning the order-parameter spaces to be multicomponent with the distinct polar-antipolar intertwining and accompanied formation of Néel-type twinlike antipolar domain walls (few nanometers) between the head-to-head and tail-to-tail domains. The finite-width Néel walls and correlated domain topology inherently lift the polar divergences between the domains, casting an emergent exemplification of charged domain-wall screening by an antipolar ingredient.

Historical epidemiology of hepatitis C virus in select countries-volume 4

Due to the introduction of newer, more efficacious treatment options, there is a pressing need for policy makers and public health officials to develop or adapt national hepatitis C virus (HCV) control strategies to the changing epidemiological landscape. To do so, detailed, country-specific data are needed to characterize the burden of chronic HCV infection. In this study of 17 countries, a literature review of published and unpublished data on HCV prevalence, viraemia, genotype, age and gender distribution, liver transplants and diagnosis and treatment rates was conducted, and inputs were validated by expert consensus in each country. Viraemic prevalence in this study ranged from 0.2% in Hong Kong to 2.4% in Taiwan, while the largest viraemic populations were in Nigeria (2 597 000 cases) and Taiwan (569 000 cases). Diagnosis, treatment and liver transplant rates varied widely across the countries included in this analysis, as did the availability of reliable data. Addressing data gaps will be critical for the development of future strategies to manage and minimize the disease burden of hepatitis C.

The present and future disease burden of hepatitis C virus infections with today's treatment paradigm: Volume 4

Factors influencing the morbidity and mortality associated with viremic hepatitis C virus (HCV) infection change over time and place, making it difficult to compare reported estimates. Models were developed for 17 countries (Bahrain, Bulgaria, Cameroon, Colombia, Croatia, Dominican Republic, Ethiopia, Ghana, Hong Kong, Jordan, Kazakhstan, Malaysia, Morocco, Nigeria, Qatar and Taiwan) to quantify and characterize the viremic population as well as forecast the changes in the infected population and the corresponding disease burden from 2015 to 2030. Model inputs were agreed upon through expert consensus, and a standardized methodology was followed to allow for comparison across countries. The viremic prevalence is expected to remain constant or decline in all but four countries (Ethiopia, Ghana, Jordan and Oman); however, HCV-related morbidity and mortality will increase in all countries except Qatar and Taiwan. In Qatar, the high-treatment rate will contribute to a reduction in total cases and HCV-related morbidity by 2030. In the remaining countries, however, the current treatment paradigm will be insufficient to achieve large reductions in HCV-related morbidity and mortality.

Strategies to manage hepatitis C virus infection disease burden-Volume 4

The hepatitis C virus (HCV) epidemic was forecasted through 2030 for 17 countries in Africa, Asia, Europe, Latin America and the Middle East, and interventions for achieving the Global Health Sector Strategy on viral hepatitis targets-"WHO Targets" (65% reduction in HCV-related deaths, 90% reduction in new infections and 90% of infections diagnosed by 2030) were considered. Scaling up treatment and diagnosis rates over time would be required to achieve these targets in all but one country, even with the introduction of high SVR therapies. The scenarios developed to achieve the WHO Targets in all countries studied assumed the implementation of national policies to prevent new infections and to diagnose current infections through screening.

Mental health literacy in korean older adults: A cross-sectional survey

WHAT IS KNOWN ON THE SUBJECT?: Mental health literacy is a fairly new concept, first introduced in 1997. It refers to what people know and believe about mental health disorders. People's knowledge and beliefs help them to recognize, manage and prevent mental disorders. Generally, older adults have lower health literacy compared to young and middle-aged adults. WHAT THIS STUDY ADDS TO EXISTING KNOWLEDGE?: This is the first study on the mental health literacy of Korean older adults. This study looks beyond peoples' ability to recognize mental health disorders and their opinions about them. It identifies factors that are associated with mental health literacy (level of education and social support, the number of people in one's social circles and how individuals rate their health). WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Older adults might get more out of mental health literacy programmes in group or social settings. Programmes that use older adult peer educators/supporters, such as the "older people's champions" of the Healthy Passport programme in England, might make the programmes more effective. Mental health campaigns, such as Australia's beyondblue, might increase mental health literacy of older adults.

ABSTRACT

Introduction Korea is experiencing rapid population ageing, spurring an increased need for mental health services for the elderly. Approximately one-third of Korean older adults experience depressive symptoms, and Korea has the highest elder suicide rate among 34 developed nations. Mental health literacy is an important component of promoting mental health, yet studies on the concept have been conducted in few countries. Aim This study examines the level of mental health literacy among Korean older adults and identifies factors associated with their mental health literacy. Method A cross-sectional survey was conducted with 596 community-dwelling Korean adults aged 65 and older. Andersen's Behavioral Model of Health Services Use framed the study. Results Overall, participants displayed low levels of mental health literacy. They had difficulty recognizing their mental health issues and had limited knowledge about self-help strategies. Mental health literacy was positively associated with education, social support, social network and health status. Discussion and Implications This study highlights a need for efforts to increase mental health literacy among Korean older adults. Strategies that have the potential to empower this population to proactively attend to their mental health include community-based education and national mental health campaigns.

A sparse QSRR model for predicting retention indices of essential oils based on robust screening approach

A robust screening approach and a sparse quantitative structure-retention relationship (QSRR) model for predicting retention indices (RIs) of 169 constituents of essential oils is proposed. The proposed approach is represented in two steps. First, dimension reduction was performed using the proposed modified robust sure independence screening (MR-SIS) method. Second, prediction of RIs was made using the proposed robust sparse QSRR with smoothly clipped absolute deviation (SCAD) penalty (RSQSRR). The RSQSRR model was internally and externally validated based on [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], Y-randomization test, [Formula: see text], [Formula: see text], and the applicability domain. The validation results indicate that the model is robust and not due to chance correlation. The descriptor selection and prediction performance of the RSQSRR for training dataset outperform the other two used modelling methods. The RSQSRR shows the highest [Formula: see text], [Formula: see text], and [Formula: see text], and the lowest [Formula: see text]. For the test dataset, the RSQSRR shows a high external validation value ([Formula: see text]), and a low value of [Formula: see text] compared with the other methods, indicating its higher predictive ability. In conclusion, the results reveal that the proposed RSQSRR is an efficient approach for modelling high dimensional QSRRs and the method is useful for the estimation of RIs of essential oils that have not been experimentally tested.

Assessment of impact of urbanisation on background radiation exposure and human health risk estimation in Kuala Lumpur, Malaysia

Kuala Lumpur has been undergoing rapid urbanisation process, mainly in infrastructure development. The opening of new township and residential in former tin mining areas, particularly in the heavy mineral- or tin-bearing alluvial soil in Kuala Lumpur, is a contentious subject in land-use regulation. Construction practices, i.e. reclamation and dredging in these areas are potential to enhance the radioactivity levels of soil and subsequently, increase the existing background gamma radiation levels. This situation is worsened with the utilisation of tin tailings as construction materials apart from unavoidable soil pollutions due to naturally occurring radioactive materials in construction materials, e.g. granitic aggregate, cement and red clay brick. This study was conducted to assess the urbanisation impacts on background gamma radiation in Kuala Lumpur. The study found that the mean value of measured dose rate was 251±6nGyh^-1 (156-392nGyh^-1) and 4 times higher than the world average value. High radioactivity levels of ²³⁸U (95±12Bqkg^-1), ²³²Th (191±23Bqkg^-1,) and ⁴⁰K (727±130Bqkg^-1) in soil were identified as the major source of high radiation exposure. Based on statistical ANOVA, t-test, and analyses of cumulative probability distribution, this study has statistically verified the dose enhancements in the background radiation. The effective dose was estimated to be 0.31±0.01mSvy^-1 per man. The recommended ICRP reference level (1-20mSvy^-1) is applicable to the involved existing exposure situation in this study. The estimated effective dose in this study is lower than the ICRP reference level and too low to cause deterministic radiation effects. Nevertheless based on estimations of lifetime radiation exposure risks, this study found that there was small probability for individual in Kuala Lumpur being diagnosed with cancer and dying of cancer.

Sterile Neutrino Search at the NEOS Experiment

An experiment to search for light sterile neutrinos is conducted at a reactor with a thermal power of 2.8 GW located at the Hanbit nuclear power complex. The search is done with a detector consisting of a ton of Gd-loaded liquid scintillator in a tendon gallery approximately 24 m from the reactor core. The measured antineutrino event rate is 1976 per day with a signal to background ratio of about 22. The shape of the antineutrino energy spectrum obtained from the eight-month data-taking period is compared with a hypothesis of oscillations due to active-sterile antineutrino mixing. No strong evidence of 3+1 neutrino oscillation is found. An excess around the 5 MeV prompt energy range is observed as seen in existing longer-baseline experiments. The mixing parameter sin^{2}2θ_{14} is limited up to less than 0.1 for Δm_{41}^{2} ranging from 0.2 to 2.3 eV^{2} with a 90% confidence level.

Green lasers are beyond power limits mandated by safety standards

There has been an increasing number of reports of people losing vision from laser exposure from pocket laser pointers despite the safety limit of 1 milliwatt (1mW) imposed by the Australian government. We hypothesize that this is because commercially available red and green laser pointers are exceeding their labeled power outputs. We tested the power outputs of 4 red and 4 green lasers which were purchased for less than AUD$30 each. The average of 10 measurements was recorded for each laser. We found that 3 out of 4 red lasers conformed to the 1mW safety standard; in contrast, all of the green lasers exceeded this limit, with one of the lasers recording an output of 127.9 mW. This contrast in compliance is explained by the construction of these lasers - green lasers are typically Diode Pumped Solid State (DPSS) lasers that can emit excessive infrared (IR) radiation with poor workmanship or inconsistent adherence to practices of safe design and quality control; red lasers are diode lasers which have limited power outputs due to `Catastrophic Optical Damage' (COD). Relevant professional bodies ought to advocate more strongly for stringent testing, quality control and licensing of DPSS lasers with a view towards government intervention to banning green laser pointer use.

Abstract P2-01-12: Development of prediction model for omission of sentinel lymph node biopsy in T1 breast cancer

INTRODUCTION

Axillary sentinel lymph node (SLN) biopsy is a standard method for axillary nodal staging in the treatment of breast cancer. However, along with the trends to SLN performed only without additional axillary lymph node dissection, it's time to be considered omission of SLN for selective patients. We developed a prediction model to assess the negative probability of sentinel lymph node metastasis, specifically focus on the patients with clinical T1 breast cancer.

METHODS and MATERIALS

The study group consisted of 513 consecutive patients with clinical T1 breast cancer, who had undergone primary surgery between 2007 and 2012. The clinicopathologic factors and imaging modalities including breast ultrasound (US), magnetic resonance imaging (MRI), chest computed tomography (CT), and positron emission tomography (PET) were evaluated. Patients who fulfilled our inclusion criteria were randomized into experimental and validation set by 3:1 ratio. In the experimental group (n = 256), multivariate logistic regression analysis was used to analyze the association of each variable with the likelihood of SLN metastases. A prediction model was developed based on the patients in the experimental group and was validated with internal patient cohorts.

RESULTS

Of the 513 patients, 119 (23.1%) were found to have SLN metastases. In univariate analysis, presence of lymphovascular invasion (P < 0.001) and suspicious finding of preoperative image studies (US, PET, and MRI, P < 0.001) were independent positive predictors of SLN metastases. In multivariate analysis of experimental group, estrogen receptor status (P = 0.012), presence of lymphatic invasion (P < 0.001), and suspicious finding of preoperative image studies (US, PET, and MRI, P < 0.001) were each associated with involvement of SLN. A prediction model based on this analysis consists of 9 rows including 6 variables (age, estrogen receptor status, presence of lymphatic invasion, and results of preoperative US, PET or CT, MRI). The sum of assigned points for all six variables made corresponding value of negative probability of SLN metastasis. The accuracy of prediction model applied to the validation group, as measured by the area under the receiver operating curve was 0.789.

CONCLUSIONS

The prediction model developed here may be a useful tool to assess SLN involvement for clinical T1 breast cancer patients. And prospective study for additional validation of the prediction model is currently in preparation, exploring the possibility of SLN biopsy omission.

Citation Format: Cho JN, Song EJ, Lee MH, Jung S-Y, Lee S, Kang H-S, Sim SH, Park IH, Lee KS, Kim YJ, Kim S-K, Kwon Y, Nam B-H, Lee ES. Development of prediction model for omission of sentinel lymph node biopsy in T1 breast cancer [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P2-01-12.

The prevalence and impact of sarcopenia on degenerative lumbar spinal stenosis

AIMS

The purpose of this study was to investigate the prevalence of sarcopenia and to examine its impact on patients with degenerative lumbar spinal stenosis (DLSS).

PATIENTS AND METHODS

This case-control study included two groups: one group consisting of patients with DLSS and a second group of control subjects without low back or neck pain and related leg pain. Five control cases were randomly selected and matched by age and gender (n = 77 cases and n = 385 controls) for each DLSS case. Appendicular muscle mass, hand-grip strength, sit-to-stand test, timed up and go (TUG) test, and clinical outcomes, including the Oswestry Disability Index (ODI) scores and the EuroQol EQ-5D were compared between the two groups.

RESULTS

The prevalence of sarcopenia, as defined by hand-grip strength, was significantly higher in the DLSS group (24%) when compared with the age- and gender-matched control group (12%) (p = 0.004). In the DLSS group, the sarcopenia subgroup demonstrated inferior results for the TUG test and ODI scores when compared with the non-sarcopenia subgroup (p = 0.006 and p = 0.039, respectively) after adjusting for age and gender.

CONCLUSION

This study demonstrated a higher prevalence of sarcopenia in patients with DLSS and highlighted its negative effect on clinical outcomes. Cite this article: Bone Joint J 2016;98-B:1093-8.

A new adaptive L1-norm for optimal descriptor selection of high-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives

A high-dimensional quantitative structure-activity relationship (QSAR) classification model typically contains a large number of irrelevant and redundant descriptors. In this paper, a new design of descriptor selection for the QSAR classification model estimation method is proposed by adding a new weight inside L1-norm. The experimental results of classifying the anti-hepatitis C virus activity of thiourea derivatives demonstrate that the proposed descriptor selection method in the QSAR classification model performs effectively and competitively compared with other existing penalized methods in terms of classification performance on both the training and the testing datasets. Moreover, it is noteworthy that the results obtained in terms of stability test and applicability domain provide a robust QSAR classification model. It is evident from the results that the developed QSAR classification model could conceivably be employed for further high-dimensional QSAR classification studies.

Predictors of general discomfort, limitations in activities of daily living and intention of a second donation in unrelated hematopoietic stem cell donation

We performed a retrospective study of 1868 consecutive unrelated donors to predict the risk factors related to general discomfort, limitations in activities of daily living (ADLs) and intention of a second donation in hematopoietic stem cell (HSC) donation. General discomfort and limitations in ADLs were assessed by numerical measurement (scores of 0-10) and donor's intention of a second donation by yes or no reply. The post-donation questionnaires were completed within 48 h after HSC collection and at 1 week, 4 weeks, and 4 months thereafter. Predictors of general discomfort included female sex (P<0.0001), bone marrow (BM) collection (P<0.0001) or PBSC collection through a central line (CL; P=0.0349), 2-day collection (P=0.0150) and negative or undetermined intention of a second donation on day 1 (P<0.0001). Predictors of limitations in ADLs included age group of 30-39 years (P=0.0046), female sex (P<0.0001), BM collection (P<0.0001) or PBSC collection through a CL (P<0.0001) and negative or undetermined intention of a second donation on day 1 (P<0.0001). The only predictor of positive intention of a second donation was male sex (P=0.0007). Age, sex and collection method and period should be considered risk factors when unrelated HSC donation is performed.

Application of xenogeneic anti-canine distemper virus antibodies in treatment of canine distemper puppies

OBJECTIVE

The clinical feasibility of passive immunotherapy has not been demonstrated in dogs naturally infected with canine distemper. In this study, porcine anti-canine distemper virus IgG and F(ab')₂ antibody fragments were used to treat infected puppies.

METHODS

A total of 41 naturally infected puppies (age Äsix months) exhibiting severe respiratory signs, but lacking neurological signs, were enrolled in the study. Twenty-five puppies were treated with a combination of IgG or F(ab')₂ antibody fragments (Group 1) and supportive therapy and 16 puppies received routine supportive care only (Group 2).

RESULTS

The survival rate of dogs in Group 1 (19/25; 76%) was significantly higher than that in Group 2 (5/16; 31·3%) (P<0·05). During the therapy, 8 of the 25 dogs (32%) in Group 1 developed neurological signs versus 12 of the 16 dogs (75%) in Group 2 (P<0·05). Adverse reactions were limited to elevated body temperature in dogs that received IgG antibodies.

CLINICAL SIGNIFICANCE

Porcine anti-canine distemper virus antibodies improved survival in puppies affected with canine distemper with minimal adverse effects. Therefore, this therapy could be considered for treatment of endangered animal species infected with canine distemper virus.

High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm

In high-dimensional quantitative structure-activity relationship (QSAR) modelling, penalization methods have been a popular choice to simultaneously address molecular descriptor selection and QSAR model estimation. In this study, a penalized linear regression model with L1/2-norm is proposed. Furthermore, the local linear approximation algorithm is utilized to avoid the non-convexity of the proposed method. The potential applicability of the proposed method is tested on several benchmark data sets. Compared with other commonly used penalized methods, the proposed method can not only obtain the best predictive ability, but also provide an easily interpretable QSAR model. In addition, it is noteworthy that the results obtained in terms of applicability domain and Y-randomization test provide an efficient and a robust QSAR model. It is evident from the results that the proposed method may possibly be a promising penalized method in the field of computational chemistry research, especially when the number of molecular descriptors exceeds the number of compounds.

ECM microenvironment unlocks brown adipogenic potential of adult human bone marrow-derived MSCs

Key to realizing the diagnostic and therapeutic potential of human brown/brite adipocytes is the identification of a renewable, easily accessible and safe tissue source of progenitor cells, and an efficacious in vitro differentiation protocol. We show that macromolecular crowding (MMC) facilitates brown adipocyte differentiation in adult human bone marrow mesenchymal stem cells (bmMSCs), as evidenced by substantially upregulating uncoupling protein 1 (UCP1) and uncoupled respiration. Moreover, MMC also induced ‘browning’ in bmMSC-derived white adipocytes. Mechanistically, MMC creates a 3D extracellular matrix architecture enshrouding maturing adipocytes in a collagen IV cocoon that is engaged by paxillin-positive focal adhesions also at the apical side of cells, without contact to the stiff support structure. This leads to an enhanced matrix-cell signaling, reflected by increased phosphorylation of ATF2, a key transcription factor in UCP1 regulation. Thus, tuning the dimensionality of the microenvironment in vitro can unlock a strong brown potential dormant in bone marrow.

Abstract P1-12-09: The oncologic effect of a gonadotropin releasing hormone (GnRH) agonist for ovarian protection during breast cancer chemotherapy

Background: Recently, chemotherapy with a GnRH agonist was reported to protect against ovarian failure. This study was aimed at determining the oncologic effect of a GnRH agonist concurrent with chemotherapy for breast cancer patients.

Patients and Methods: A total of 1189 patients aged 20 to 40 years with stage I to III breast cancer who received (neo or adjuvant) chemotherapy from five hospitals in Korea from 2002 to 2012 were reviewed. A gonadotropin releasing hormone (GnRH) agonist was given to 410 patients for ovarian protection during chemotherapy (GnRH agonist group), and 779 patients received chemotherapy without ovarian protection (Chemotherapy alone group). A matching strategy was used to create matched sets of two groups by age, stage, hormone receptor status, Her2/neu status, neo or adjuvant chemotherapy, and institute.

Results: Survival analysis using Cox regression showed that the GnRH agonist group had better distant metastatic-free survival (HR=0.65, 95%CI 0.44-0.97) outcomes but similar disease free survival (HR=0.78, 95% CI 0.57-1.08) compared with the chemotherapy alone group. The survival benefit was significant for hormone receptor positive, Her2/neu negative breast cancer on distant metastasis (HR=0.44, 95% CI 0.20-0.99) and disease free survival (HR0.47 95% CI 0.23-0.93).

Conclusion: Ovarian protection using a GnRH agonist can be safely considered for premenopausal breast cancer patients for whom chemotherapy is planned.

Citation Format: Kim HJ, Lee MH, Lee JE, Park SH, Lee ES, Kang Y-J, Lee JH, Shin HN, Kim SI, Im SA, Ahn SH, Lee KS, Sohn J, Han W, Nam SJ. The oncologic effect of a gonadotropin releasing hormone (GnRH) agonist for ovarian protection during breast cancer chemotherapy. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P1-12-09.

Abstract P4-10-12: Psychosocial health of disease-free breast cancer survivors compared with cancer-free general population: Korean health examinee cohort study

Background/purpose: The number of long-term breast cancer survivors is increasing rapidly due to the growing rates of detection, incidence and improved survival. Quality of life (QOL) of physical and psychosocial health outcomes vary across the breast cancer survivors including diagnosis at different stages of breast cancer. There is little data regarding the psychosocial health of disease-free breast cancer survivors compared with those of general population. We conducted to assess the QOL, especially psychosocial health, of disease-free female survivors over 2 year after breast cancer diagnosis compared with cancer-free control women.

Methods: We used baseline data from the health examinee cohort, a part of the Korea Genome Epidemiology Study which is a large scaled cohort study established since 2001. This cohort has collected data of past medical history, socioeconomical factors (income, education, marital status and current employment status) and health behavioral factors (smoking, drinking, physical activity, BMI, menopausal status and subjective health status) of participants while they underwent regular health examination. The disease-free breast cancer survivors were defined as those who answered that they were ≥2 years from the initial diagnosis of breast cancer without recurrence and current treatment. Among the participants female subjects without history of any type cancer were randomly selected at 1:4 ratio by 5-year age groups, educational attainment level and household income as a comparison group. We analyzed Psychosocial Well-being Index-Short Form (PWI-SF) in these two groups. Subjects with score ≤8, 9–26, and 27 were classified as the 'healthy group', 'latent stress group', and 'stress group,' respectively.

Results: Total 347 survivors of breast cancer and 1,388 matched participants without cancer history were selected for analysis. Even after being matched for education and household income status, breast cancer survivors showed better psychosocial health status and health behaviors compared with matched comparison group. The prevalence of latent stress and stress group (vs healthy group) by PWI-SF score was 88.2% in breast cancer survivors and 89.9% in the matched female controls, showing borderline significant differences (p = 0.057). The prevalence rates of ever drinkers and smokers or obese women were lower and of those who exercised ≥150 min/week were higher in breast cancer survivors (p &lt; 0.05). The total PWI-SF score was lower in breast cancer survivors, suggesting lower level of psychosocial stress level in breast cancer survivors. After adjusting for effects of other sociodemographic variables, breast cancer survivors were less likely to be included in stress group by 36% (OR = 0.64; 95% confidence interval [CI], 0.42–0.98).

Conclusions: The disease-free breast cancer survivors with regular health examination showed better psychosocial health status compared with matched general population. The better health behaviors in cancer survivors such as less alcohol drinking, low BMI, less history of smoking and more regular exercise, which have been identified in several previous cancer survivors studies might be attributed to their better psychosocial health status.

Citation Format: Lee MH, Park B, Song EJ, Park SJ, Kong S-Y, Lee ES. Psychosocial health of disease-free breast cancer survivors compared with cancer-free general population: Korean health examinee cohort study. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P4-10-12.

Quantitative analysis of high-resolution microendoscopic images for diagnosis of neoplasia in patients with Barrett's esophagus

BACKGROUND AND AIMS

Previous studies show that microendoscopic images can be interpreted visually to identify the presence of neoplasia in patients with Barrett's esophagus (BE), but this approach is subjective and requires clinical expertise. This study describes an approach for quantitative image analysis of microendoscopic images to identify neoplastic lesions in patients with BE.

METHODS

Images were acquired from 230 sites from 58 patients by using a fiberoptic high-resolution microendoscope during standard endoscopic procedures. Images were analyzed by a fully automated image processing algorithm, which automatically selected a region of interest and calculated quantitative image features. Image features were used to develop an algorithm to identify the presence of neoplasia; results were compared with a histopathology diagnosis.

RESULTS

A sequential classification algorithm that used image features related to glandular and cellular morphology resulted in a sensitivity of 84% and a specificity of 85%. Applying the algorithm to an independent validation set resulted in a sensitivity of 88% and a specificity of 85%.

CONCLUSIONS

This pilot study demonstrates that automated analysis of microendoscopic images can provide an objective, quantitative framework to assist clinicians in evaluating esophageal lesions from patients with BE. (

CLINICAL TRIAL REGISTRATION NUMBER

NCT01384227 and NCT02018367.).

Fyn is a redox sensor involved in solar ultraviolet light-induced signal transduction in skin carcinogenesis

Solar ultraviolet (UV) light is a major etiological factor in skin carcinogenesis, with solar UV-stimulated signal transduction inducing pathological changes and skin damage. The primary sensor of solar UV-induced cellular signaling has not been identified. We use an experimental system of solar simulated light (SSL) to mimic solar UV and we demonstrate that Fyn is a primary redox sensor involved in SSL-induced signal transduction. Reactive oxygen species (ROS) generated by SSL exposure directly oxidize Cys488 of Fyn, resulting in increased Fyn kinase activity. Fyn oxidation was increased in mouse skin after SSL exposure, and Fyn knockout (Fyn^−/−) mice formed larger and more tumors compared to Fyn wildtype mice when exposed to SSL for an extended period of time. Murine embryonic fibroblasts (MEFs) lacking Fyn as well as cells in which Fyn expression was knocked down were resistant to SSL-induced apoptosis. Furthermore, cells expressing mutant Fyn (C448A) were resistant to SSL-induced apoptosis. These findings suggest that Fyn acts as a regulatory nexus between solar UV, ROS and signal transduction during skin carcinogenesis.

Malva verticillata seed extracts upregulate the Wnt pathway in human dermal papilla cells

OBJECTIVE

Mesenchymal-epithelial interactions are important in controlling hair growth and the hair cycle. The β-catenin pathway of dermal papilla cells (DPCs) plays a pivotal role in morphogenesis and normal regeneration of hair follicles. Deletion of β-catenin in the dermal papilla reduces proliferation of the hair follicle progenitor cells that generate the hair shaft and induces an early onset of the catagen phase. In this study, a modulator of the Wnt/β-catenin activity was studied in oriental herb extracts on cultured human DPCs.

METHODS

The effect of Malva verticillata (M. verticillata) seeds on human DPCs was investigated by a Wnt/β-catenin reporter activity assay system (β-catenin-TCF/LEF reporter gene) and cell proliferation analysis. The synthesis of the factors related to hair growth and cycling was measured at both the mRNA and the protein level by semi-quantitative PCR and Western blot analysis, respectively.

RESULTS

An extract from M. verticillata seeds increased Wnt reporter activity in a concentration-dependent manner and also led to increased β-catenin levels in cultured human DPCs. Myristoleic acid, identified as an effective compound of M. verticillata seeds, stimulated the proliferation of DPCs in a dose-dependent manner and increased transcription levels of the downstream targets: IGF-1, KGF, VEGF and HGF. Myristoleic acid also enhanced the phosphorylation of MAPKs (Akt and p38).

CONCLUSION

Overall, the data suggest that this extract of M. verticillata seeds could be a good candidate for treating hair loss by modulating the Wnt/β-catenin pathway in DPCs.