Effect of lip thickness and competency on soft-tissue changes.

INTRODUCTION: Improvement in facial esthetics is a major reason for seeking orthodontic treatment. Soft tissues responsible for esthetics show a variable response to the movement of underlying teeth during orthodontics. METHODS: The purpose of this cross-sectional study was to analyze the response of soft tissues and compare it among groups presenting with different lip thickness and competence. It was carried out on 37 patients with Class I and Class II Division 1 malocclusion who had undergone extractions of maxillary first premolars and had completed their orthodontic treatment. Data were obtained by corresponding lateral cephalometric radiographs taken before and at the end of orthodontic treatment. Association was analyzed with a Pearson correlation test. Differences among groups exhibiting varying competency and lip thickness were tested with an independent sample t test. A P value of ≤0.05 was considered statistically significant. RESULTS: Pearson correlation revealed significant associations among incisor tip retraction with lip base retraction (r = 0.68), lip base thinning (r = 0.41) and vermilion retraction (UV) (r = 0.73). Regression analysis showed a moderate increase in lip length (AB) and thickness at vermilion, which were 0.11 mm and 0.15 mm for each mm of incisor retraction at the tip, whereas stronger effects were observed for UV (0.38 mm) and lip base retraction (0.55 mm). There was significantly more lip base thinning (P = 0.03) and UV (P = 0.04) in the incompetent group compared with the competent group. The AB increased significantly in the sample with thicker lips (P = 0.01). Pearson correlation coefficient showed a strong association of lip retraction at the base and vermilion with the incisor movement at the cervical area, for competent and incompetent lips, and thicker and thinner lips. CONCLUSIONS: Lip retraction at vermilion and lip base thinning was significantly more in patients with incompetent lips, whereas the AB increased significantly more in the group with thicker lips.

Vertical growth pattern as a determinant of mandibular asymmetry.

Objectives: To determine normal mandibular linear values in three vertical groups, to compare right and left side to highlight a prevalent pattern towards mandibular asymettry. Methods: This is a descriptive cross sectional study in which pre-orthodontic treatment panoramic radiographs and lateral cephalograms of 224 patients (between 18 to 34 years) undergoing treatment in Orthodontic Department of Bahria University Medical and Dental College were used and traced on an acetate sheet. There were 74 patients in high angle,76 and 78 in low angle and normal angle group respectively based on their vertical growth pattern using SNMP angle. Condylar height (CH) and Ramal height (RH), and condylar plus ramal height (CH+RH) measurements were done as previously described by Habets. Results: There was no statistically significant difference between the three groups as determined by one way ANOVA. Condylar height and Gonial angle showed statistically significant difference when right and left side was compared, with increased values on the right side. Conclusion: There was no statistically significant difference in condylar, ramal, and total asymmetry index between different vertical groups. Between the right and left sides, condylar height and gonial angles were significantly increased on the right side. However, Ramal height showed no significant difference. Ramal index has a strong linear correlation with total asymmetry index.

Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach.

Maintaining a high quality of conversation between doctors and patients is essential in telehealth services, where efficient and competent communication is important to promote patient health. Assessing the quality of medical conversations is often handled based on a human auditory-perceptual evaluation. Typically, trained experts are needed for such tasks, as they follow systematic evaluation criteria. However, the daily rapid increase of consultations makes the evaluation process inefficient and impractical. This paper investigates the automation of the quality assessment process of patient-doctor voice-based conversations in a telehealth service using a deep-learning-based classification model. For this, the data consist of audio recordings obtained from Altibbi. Altibbi is a digital health platform that provides telemedicine and telehealth services in the Middle East and North Africa (MENA). The objective is to assist Altibbi's operations team in the evaluation of the provided consultations in an automated manner. The proposed model is developed using three sets of features: features extracted from the signal level, the transcript level, and the signal and transcript levels. At the signal level, various statistical and spectral information is calculated to characterize the spectral envelope of the speech recordings. At the transcript level, a pre-trained embedding model is utilized to encompass the semantic and contextual features of the textual information. Additionally, the hybrid of the signal and transcript levels is explored and analyzed. The designed classification model relies on stacked layers of deep neural networks and convolutional neural networks. Evaluation results show that the model achieved a higher level of precision when compared with the manual evaluation approach followed by Altibbi's operations team.

Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines.

Nowadays, artificial intelligence plays an integral role in medical and healthcare informatics. Developing an automatic question classification and answering system is essential for coping with constant advancements in science and technology. However, efficient online medical services are required to promote offline medical services. This article proposes a system that automatically classifies medical questions of patients into medical specialities and supports the Arabic language in the MENA region. Text classification is not trivial, especially when dealing with a highly morphologically complex language, the dialectical form of which is the dominant form on the Internet. This work utilizes 15,000 medical questions asked by the clients of Altibbi telemedicine company. The questions are classified into 15 medical specialities. As the number of medical questions received daily by the company has increased, a need has arisen for an automatic classification system that can save the medical personnel much time and effort. Therefore, this article presents an efficient medical speciality classification system based on swarm intelligence (SI) and an ensemble of support vector machines (SVMs). Particle swarm optimization (PSO) is an SI-based and stochastic metaheuristic algorithm that is adopted to search for the optimal number of features and tune the hyperparameters of the SVM classifiers, which are deployed as one-versus-rest for multi-class classification. In addition, PSO is integrated with various binarization techniques to boost its performance. The experimental results show that the proposed approach accomplished remarkable performance as it achieved an accuracy of 85% and a features reduction rate of 95.9%.

A take on social wellbeing attributes by first year medical students.

OBJECTIVE: To compare awareness about concept of social wellness in male and female first year medical students. METHODS: It was a cross sectional, questionnaire based study conducted from February till December 2010. Responses on aspects of social wellness were rated never, sometimes, mostly and always from lowest to highest (1-4); evaluated as frequency, proportion and percentages by PASW (Predictive analysis software) version 18. Chi square test was applied for comparison of social wellness in both genders; results to be declared significant with p value < 0.05. RESULTS: Overall score for social well being of females (20.24 +/- 4.50) was higher than male medical students (18.66 +/- 4.76; p < 0.0001). Majority of the female respondents believed that they exhibit fairness and justice in public dealing (p < 0.004), had a good network of close friends and family (p < 0.001), were prompt at helping batch fellows (p < 0.004), participated in group discussions (p < 0.004), followed dynamics of communication (p < 0.05) and were better at solving problems (p < 0.01) as compared to the male respondents. CONCLUSION: The scores highlighted a better interaction of females with the social environment.

Incidence of Weaning Failure in Obese Patients in Intensive Care Unit.

Background The escalating prevalence of obesity worldwide presents unique challenges in critical care management, especially in the context of mechanical ventilation and weaning processes in intensive care units (ICUs). The present study aimed to determine the incidence of weaning failure in obese patients in an ICU. Methods A prospective observational study was carried out to gather data on patients in the ICU of Shifa International Hospital located in Islamabad, Pakistan. The target population consisted of adult patients who were both male and female, ages 18 years and above. These individuals required intubation procedures as well as mechanical ventilation during their hospitalization. The researchers followed these patients prospectively and observed their medical conditions closely to gather data about how obesity might impact critical care interventions and outcomes. Results The sample size was 288 bearing a median age of 61.0 with an interquartile range of 19 years. Older age manifested a significantly higher frequency of failed extubation (p=0.065). Higher body mass index (BMI) was significantly associated with failed extubation among the study population. It was found that a higher significant difference was associated with BMI > 30 kg/m2 (obese) in failed and successful extubation. One-half of the patients with failed extubation and only 16 (5.9%) patients with successful extubation had end-stage renal disease (p<0.001). It was found that patients who underwent failed extubation had notably increased ICU mortality (p=0.108), 28-day mortality (p=0.067), as well as mean ICU (p<0.001) and hospital stay (p=0.007). Conclusion Our study revealed some insightful correlations between obesity, age, comorbidities, length of hospitalization, ICU stay, and mortality rate in terms of weaning failure among the study population.

A slow-release dexamethasone implant for cancer-associated retinopathy.

This case report aims to show the anatomical and functional results of a patient diagnosed as having cancer-associated retinopathy treated with a controlled-release dexamethasone implant (Ozurdex). Anatomical outcomes were assessed using spectral domain optical coherence tomography; and functional outcomes, by measuring visual acuity, microperimetry, and mutifocal electroretinography. The follow-up period was 1 year.

Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models.

Automatic symptom identification plays a crucial role in assisting doctors during the diagnosis process in Telemedicine. In general, physicians spend considerable time on clinical documentation and symptom identification, which is unfeasible due to their full schedule. With text-based consultation services in telemedicine, the identification of symptoms from a user's consultation is a sophisticated process and time-consuming. Moreover, at Altibbi, which is an Arabic telemedicine platform and the context of this work, users consult doctors and describe their conditions in different Arabic dialects which makes the problem more complex and challenging. Therefore, in this work, an advanced deep learning approach is developed consultations with multi-dialects. The approach is formulated as a multi-label multi-class classification using features extracted based on AraBERT and fine-tuned on the bidirectional long short-term memory (BiLSTM) network. The Fine-tuning of BiLSTM relies on features engineered based on different variants of the bidirectional encoder representations from transformers (BERT). Evaluating the models based on precision, recall, and a customized hit rate showed a successful identification of symptoms from Arabic texts with promising accuracy. Hence, this paves the way toward deploying an automated symptom identification model in production at Altibbi which can help general practitioners in telemedicine in providing more efficient and accurate consultations.

Evaluating the Impact of Positive Fluid Balance on Mortality and Length of Stay in Septic Shock Patients.

Background Sepsis is accountable for major morbidity and mortality in patients with critical illnesses. The present research was undertaken to evaluate the correlation between fluid balance during hospitalizations and patient outcomes in patients with sepsis. Methods An observational study was undertaken at the Critical Care Department, Shifa International Hospital, Islamabad, Pakistan between December 2021 to April 2022. The patients included were over the age of 17 years, with a proven diagnosis of infection. These patients either had positive bacterial cultures, suffered from organ failure secondary to sepsis, or had clinically evident signs of infection. Patients who were discharged during the period of study were eliminated from the study population. All patients were informed of the process and signed consent was obtained. Basic demographic information was recorded, which included the existence of any comorbid conditions, organ failure, medication use, or infection history. The severity of critical illness was determined for every single patient along with organ damage. The final patient outcome was recorded as in-hospital mortality. Results A total of 307 patients were included in the study with a total of 165 (53.75%) male patients. The overall mortality rate was 39.74%. The mean length of hospitalization was 17.42 ± 8.3 days. A high SOFA score was significantly associated with quartile 4 with a mean score of 14.1 (p < 0.001). Similarly, a significantly higher APACHE score was found in patients in quartile 4 (p < 0.001) thus indicating a relationship between severity of illness and positive fluid balance. Upon further assessment, it was found that the 28th day and 90th day were significantly greater in quartile 4 in comparison to other quartiles. Similarly, the overall length of stays in the hospital and in the ICU were also significantly associated with greater fluid balance (p < 0.001).  Conclusion In our study, it was concluded that monitoring fluid balance in critically ill patients is very important. The highest 28-day and 90-day mortality were seen in patients with the greatest positive fluid balance. However, the cause of high mortality in this cohort could be multifactorial; therefore, the relationship of positive fluid balance with patient outcome remains debatable.

Interruptions to Enteral Nutrition in Critically Ill Patients in the Intensive Care Unit.

Background Malnourishment has been linked with increased morbidity and mortality among critically ill patients. The current study aimed to assess the factors contributing to the interruption of enteral nutrition so that preventive measures can be formulated to avoid the malnourishment of critically ill patients. Methodology A prospective, observational study was conducted at the Department of Intensive Care Unit, Shifa International Hospital, Islamabad, between November 2020 and May 2021. All patients admitted in the intensive care unit (ICU) during the study period aged between 18 and 80 years, who remained admitted in the medical ICU for at least 72 hours were included in the study. Those who had ileostomy or colostomy were excluded from the study. Diagnostic categories were defined as surgical and medical. Data on clinical parameters including admitting diagnosis and airway-related issues were recorded in a predefined proforma. Results The mean duration of enteral nutrition interruption in males was 13.96 ± 13.12 days while that of females, 12.48 ± 12.43 days. Non-invasive ventilation dependency was significantly associated with an interruption in enteral nutrition (p=0.002). The mean duration of interruption of enteral nutrition was not correlated with airway issues (p=0.569). However, the mean duration of interruption of enteral nutrition was significantly lower in patients who underwent spontaneous breathing trials with T-piece (p = 0.032). Those who were advised nil per oral before surgery had a significantly longer duration of enteral nutrition interruption (p < 0.0001) with a mean length of 30.18 ± 5.83 days. The duration of enteral nutrition interruption was significantly longer in patients who had tracheostomy than those who did not have a tracheostomy (26.3 ± 6.34 vs. 9.54 ± 11.61 days) (p < 0.0001). Conclusion The present study revealed that at least three-forth of the patients admitted in ICUs had documented orders to the interruption of enteral nutrition. The most significant causes that correlated with interruptions to enteral nutrition were non-invasive ventilation dependency, tracheostomy, spontaneous breathing trials with T-piece, and orders of nil per oral before surgery.

FOXO1 Gene Downregulation and Promoter Methylation Exhibits Significant Correlation With Clinical Parameters in Indian Breast Cancer Patients.

Background: Forkhead box "O" one which is member of Forkhead box family of transcription factors is known to play key role in different physiological processes including cell cycle arrest, autophagy, and apoptosis. FOXO1 is defined to play tumor suppressive role in various malignancies including breast cancer and its Dysregulation is frequently reported. However, the evaluation of FOXO1 promoter methylation and its expression at mRNA and protein level in different stages of breast cancer and its association with different clinical parameters is still not studied. Therefore, for better understanding the role of FOXO1 in breast cancer, in our study we examined the FOXO1 mRNA and protein expression in Breast cancer samples of Indian breast cancer patients. Results: Total 127 breast cancer samples along with adjacent normal tissue (n = 127) were analyzed through methylation specific PCR (MS-PCR), mRNA expression (Real-time PCR) and Immunohistochemistry (IHC). We detected 69.29% cases to be downregulated at the mRNA level, and 77.95% of cases exhibited no or low protein expression. In our data we report a significant association (p = 0.0001) between the downregulated protein expression and promoter hypermethylation of FOXO1 gene. We also found a significant correlation of FOXO1 mRNA level with Age (p = 0.008), age at first live birth (p = 0,003), tumor size (p = 0.05) and lymph node status (p = 0.01). Conclusion: we in our study report the tumor suppressive role of FOXO1 in case of Indian breast cancer patients and our data suggest it to exhibit prognostic importance. However, further research is needed to evaluate FOXO1 significance in diagnostic and therapeutic targeting in breast cancer cases.

FOXO3 gene hypermethylation and its marked downregulation in breast cancer cases: A study on female patients.

Background: FOXO3, a member of the FOX transcription factor family, is frequently described as being deregulated in cancer. Additionally, notable role of FOXO3 can be easily recognized in the process of ageing and survival. Even though various studies have been done to acknowledge the tumour-suppressive or oncogenic role of FOXO3 in cancer, still there exist a lack of understanding in terms of cancer prognosis and treatment. Therefore, to provide better insight, our study aims to evaluate the role and function of FOXO3 in breast cancer in Indian female patients. We examined the FOXO3 expression levels in breast cancer samples by analyzing mRNA and protein expression along with its clinicopathological parameters. Results: A total of 127 cases of breast cancer with equal normal cases (n=127) were assessed with methylation (MS-PCR), Immunohistochemistry (IHC), mRNA expression using Real-time PCR was analysed and 66.14% cases at mRNA level were found to be downregulated, while 81.10% of cases had little or very little protein expression. Our data state, the promoter hypermethylation of the FOXO3 gene and the downregulated protein expression are significantly correlated (p=0.0004). Additionally, we found a significant correlation between the level of FOXO3 mRNA with ER (p=0.04) and status of lymph node (p=0.01) along with this. Conclusion: Data suggests the prognostic significance and the tumour-suppressive role of FOXO3 in breast cancer cases studied in India. However, there is a need for the extended research targeting FOXO3 to measure its clinical potential and develop well-defined therapeutic strategies.

Evaluation of cytochrome b mtDNA sequences in genetic diversity studies of Channa marulius (Channidae: Perciformes).

Channa marulius (Hamilton, 1822) is a commercially important freshwater fish and a potential candidate species for aquaculture. The present study evaluated partial Cytochrome b gene sequence of mtDNA for determining the genetic variation in wild populations of C. marulius. Genomic DNA extracted from C. marulius samples (n = 23) belonging to 3 distant rivers; Mahanadi, Teesta and Yamuna was analyzed. Sequencing of 307 bp Cytochrome b mtDNA fragment revealed the presence of 5 haplotypes with haplotype diversity value of 0.763 and nucleotide diversity value of 0.0128. Single population specific haplotype was observed in Mahanadi and Yamuna samples and 3 haplotypes in Teesta samples. The analysis of data demonstrated the suitability of partial Cytochrome b sequence in determining the genetic diversity in C. marulius population.

Impact Of Covid-19 On Post Natal Mental Health.

BACKGROUND: In January, 2020 COVID-19 infection was declared a public health emergency characterized as pandemic by the World Health Organization (WHO). In March 2020, special guidelines were issued to address mental and psychological aspects of the disease survivors and community at large. This study was conducted with the aim to evaluate the psychological impact of COVID-19 on mothers in the postpartum period. METHODS: It was cross-sectional study of six months duration on COVID-19 positive deliveries and Covid negative mothers. A total of 84 women (42 Covid Positive and 42 Covid negative) were included through non-probability quota with consecutive sampling technique. Mothers with pre-existing mental health issues, those who had been on medication for any psychological issues or those who suffered from obstetrical and neonatal complications or required transfer to High Dependency Unit (HDU) were excluded from the study. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen the women for postpartum depression. Independent sample t test was used for continuous variables and Fisher exact test was used for qualitative variables. RESULTS: Mean EPDS score was 9.48±6.33 in COVID-19 positive group. The sub-scale analysis showed mean scores 1.6±1.76 and 4.86±2.94 for Anhedonia and Anxiety with statistically significant difference. CONCLUSIONS: Women experiencing COVID-19 infection during pregnancy were found to have greater anxiety and nervousness in post-natal period compared to their COVID-19 negative counterparts.

Buffalo Infection by Fasciola gigantica Transmitted by Radix acuminata in Uttar Pradesh, India: A Molecular Tool to Improve Snail Vector Epidemiology Assessments and Control Surveillance.

PURPOSE: Fascioliasis is caused by Fasciola species transmitted by freshwater Lymnaeidae snails and infecting herbivorous mammals and humans worldwide. In southern Asia, fascioliasis is a problem in livestock from the Near East to Bangladesh, where recent human infection reports are worrying. In this region, Fasciola gigantica is transmitted by species of the Radix auricularia superspecies group. In the densely populated northern Indian state of Uttar Pradesh, livestock appears infected throughout. The economic importance of buffaloes highlights the need to control their very high infection rates. METHODS: In the Gorakhpur area, a molecular method based on the two specific primer sets of genomic DNA was applied to fasciolids from buffaloes slaughtered in local abattoirs and cercariae from R. acuminata snails from freshwater collections. RESULTS: PCR products and sequences demonstrated that the cercariae belonged to F. gigantica and that R. acuminata acts as vector for its transmission to buffaloes. The 72.0% rate found in one transmission focus appears to be the highest worldwide record of fasciolid infection in a lymnaeid population. Lymnaeid prevalences and burdens found close to human communities indicate a very high infection risk. CONCLUSION: This method is simple, fast and cheap because there is no need for sequencing, it differentiates between fasciolid species and between fasciolids and other trematodes infecting R. acuminata, facilitates epidemiological surveys, and is useful for surveillance to evaluate the efficiency of control measures. Within climate change predictions, future increases of rain events and floods suggest the need for control and surveillance efforts in this endemic area.

Local Wound Infiltration with Ropivacaine for Postoperative Pain Control in Caesarean Section.

Background The rate of the caesarean section has been on a progressive rise ever since its association with improved fetal prognosis was established. This study was conducted to assess the effect of local wound infiltration with ropivacaine on the postoperative analgesia requirement and pain scores in caesarean section patients. Methods This was a prospective single-blinded randomized control trial conducted at the Department of Obstetrics and Gynecology, KRL Hospital, Islamabad, Pakistan over a duration of six months from January 2018 to June 2018. All the women aged 19 to 40 years, who underwent elective caesarean sections under spinal anesthesia, with American Society of Anesthesiologists (ASA) score II, were included in the study and randomized into two groups. The primary outcome studied was the efficacy of ropivacaine in controlling postoperative wound pain compared to no local analgesic. Pain severity was assessed using the visual analog scale (VAS) which was explained to the patient beforehand and which comprised a range of score from zero (no pain) to 10 (worst pain imaginable). Initially, paracetamol 1 g intravenous (IV) was given every six hours, over 24 hours. If pain did not settle on this, ketoprofen 3 mg/kg IV was given every eight hours, and in case of further analgesic demand by the patient, nalbuphine 10 mg was given IV, if necessary. The data was collected on a specific questionnaire and analyzed on the Statistical Package for Social Sciences (SPSS Inc., Chicago, IL) version 23.0. A p-value of less than 0.05 was considered significant. Results A total of 100 patients were randomized into two groups. Pain scores were significantly reduced in the ropivacaine group at four, six, and 12 hours after surgery. The percentage of patients who requested the multiple doses of IV paracetamol, ketoprofen, and nalbuphine, was significantly lowered in the ropivacaine group as compared to the placebo group (p<0.001). Conclusions Local infiltration with ropivacaine during caesarean section significantly reduces the postoperative analgesic requirement and visual analog scores, reducing the incidence of side effects.

Xeno-miRNet: a comprehensive database and analytics platform to explore xeno-miRNAs and their potential targets.

Xeno-miRNAs are microRNAs originating from exogenous species detected in host biofluids. A growing number of studies have suggested that many of these xeno-miRNAs may be involved in cross-species interactions and manipulations. To date, hundreds of xeno-miRNAs have been reported in different hosts at various abundance levels. Based on computational predictions, many more miRNAs could be potentially transferred to human circulation system. There is a clear need for bioinformatics resources and tools dedicated to xeno-miRNA annotations and their potential functions. To address this need, we have systematically curated xeno-miRNAs from multiple sources, performed target predictions using well-established algorithms, and developed a user-friendly web-based tool-Xeno-miRNet-to allow researchers to search and explore xeno-miRNAs and their potential targets within different host species. Xeno-miRNet currently contains 1,702 (including both detected and predicted) xeno-miRNAs from 54 species and 98,053 potential gene targets in six hosts. The web application is freely available at http://xeno.mirnet.ca.

Hepatic Sclerosing Hemangioma Simulating Gallbladder Carcinoma: A Rare Case.

Sclerosing hemangiomas of the liver are rare benign tumors of the liver. Although hepatic hemangiomas are the most common benign liver tumor, they are mostly cavernous in nature. A hepatic sclerosing hemangioma is defined by presence of fibrosis and hyalinization as a result of degenerative changes in a cavernous hemangioma. The radiological features of sclerosing hepatic hemangioma can resemble those of cholangiocarcinoma, fibrolamellar carcinoma, or metastasis. We present a case of a hepatic sclerosing hemangioma in which an unusual magnetic resonance imaging (MRI) and computed tomography (CT) appearance lead to radiographic concern for gallbladder carcinoma. To the best of our knowledge, this is the first case in the literature of a hepatic sclerosing hemangioma mimicking a gallbladder carcinoma.

Hypermethylated LATS2 gene with decreased expression in female breast cancer: A case control study from North India.

BACKGROUND: LATS2, a presumed tumor suppressor gene located on chromosome 13q11-12 is involved in cell growth related activity like regulation of cell cycle at G1/S. The reduced expression of LATS2 has been reported in many tumors; including tumors of Breast, which is to the best of our knowledge has not been studied in north Indian female breast cancer population. OBJECTIVE: Here, we looked upon the expression pattern and methylation status of the LATS2 gene in north Indian female breast cancer cases to further strengthen its role as a tumor suppressor gene and more importantly as a cancer biomarker. METHODS: mRNA expression level was determined by real time PCR in 140 Breast cancer patients, Protein expression was studied by Immunohistochemistry and Promoter methylation was studied by Methylation specific PCR. All findings were correlated with clinicopathological features. RESULTS: LATS2 mRNA expression was remarkably downregulated in 67.85% (95/140) cases. The expression of Large Associated Tumor Suppressor 2 at protein level was also absent in 67.85% (95/140) cases. The absence of LATS2 protein strongly correlated with promoter hypermethylation where 91 out of a total of 107 hyper methylated cases showed absence of protein (91/107, 85%). The absence of LATS2 protein was strongly significant with HER2 neu status (0.01), TNM staging (0.009) and Molecular subtype (0.024). CONCLUSION: The decreased expression in breast cancer seems to be associated with hypermethylation of LATS2 promoter regions. Further LATS2 as a tumor suppressor can be recognized as a promising Biomarker in Breast cancer pathogenesis. Though, further studies, targeting larger sets of breast cancer population are required to establish LATS2 as a promising biomarker.

A slow-release dexamethasone implant for cancer-associated retinopathy / Implante de liberacao lenta de dexametasona para retinopatia associada ao cancer

ABSTRACT This case report aims to show the anatomical and functional results of a patient diagnosed as having cancer-associated retinopathy treated with a controlled-release dexamethasone implant (Ozurdex). Anatomical outcomes were assessed using spectral domain optical coherence tomography; and functional outcomes, by measuring visual acuity, microperimetry, and mutifocal electroretinography. The follow-up period was 1 year.

RESUMO Este relato de caso tem como objetivo mostrar os resultados anatômicos e funcionais de um paciente com diagnóstico de retinopatia associada ao câncer tratado com implante de liberação controlada de dexametasona (Ozurdex®). Os resultados anatômicos foram avaliados por SD-OCT e os resultados funcionais por medida de acuidade visual, microperimetria e eletrorretinograma multifocal. O período de acompanhamento foi de um ano.