Characterization of MTAP gene expression in breast cancer patients and cell lines

MTAP is a ubiquitously expressed gene important for adenine and methionine salvage. The gene is located at 9p21, a chromosome region often deleted in breast carcinomas, similar to CDKN2A, a recognized tumor suppressor gene. Several research groups have shown that MTAP acts as a tumor suppressor, and some therapeutic approaches were proposed based on a tumors\ub4 MTAP status. We analyzed MTAP and CDKN2A gene (RT-qPCR) and protein (western-blotting) expression in seven breast cancer cell lines and evaluated their promoter methylation patterns to better characterize the contribution of these genes to breast cancer. Cytotoxicity assays with inhibitors of de novo adenine synthesis (5-FU, AZA and MTX) after MTAP gene knockdown showed an increased sensitivity, mainly to 5-FU. MTAP expression was also evaluated in two groups of samples from breast cancer patients, fresh tumors and paired normal breast tissue, and from formalin-fixed paraffin embedded (FFPE) core breast cancer samples diagnosed as Luminal-A tumors and triple negative breast tumors (TNBC). The difference of MTAP expression between fresh tumors and normal tissues was not statistically significant. However, MTAP expression was significantly higher in Luminal-A breast tumors than in TNBC, suggesting the lack of expression in more aggressive breast tumors and the possibility of using the new approaches based on MTAP status in TNB

kHealth: A Personalized Healthcare Approach for Pediatric Asthma

Can we assess the asthma control level, determine vulnerability, and medication compliance for a patient? Can we understand the causal relationship between the asthma symptom and possible factors responsible for it? Can we reduce the number of asthma attacks through continuous monitoring of the patient’s health condition

Khealth Digital Personalized Healthcare technology for Pediatric Asthma

Episodic:Traditional Clinician Centric Healthcare Questions to be answered: 1.Can we reduce the number of asthma attacks through continuous monitoring of the patient\u27s health condition? 2.Can we predict the asthma attack based on the data collected from the patient? 3.Can we predict the asthma vulnerability score for a patient? 4.Can we predict the asthma severity level of a patient? 5.Can we understand the casual relationship between the asthma symptom and the possible factors responsible for it

Feasibility of Recording Sleep Quality And Sleep Duration Using Fitbit in Children with Asthma

Sleep disorders are common in children with asthma and are increasingly implicated in poor asthma control. Smart wearables such as the Fitbit wristband allow monitoring of users’ sleep duration and quality in their natural surroundings. However, the utility and efficacy of using such wearable devices to monitor sleep in pediatric patients with asthma have not been well-established. Thus, the objective of this study is to demonstrate the feasibility of recording sleep quality and sleep duration using Fitbit in children with asthma

Augmented Personalized Health: Using Semantically Integrated Multimodal Data for Patient Empowered Health Management Strategies

Healthcare as we know it is in the process of going through a massive change from: 1. Episodic to continuous 2. Disease-focused to wellness and quality of life focused 3. Clinic-centric to anywhere a patient is 4. Clinician controlled to patient empowered 5. Being driven by limited data to 360-degree, multimodal personal-public-population physical-cyber-social big data-driven URL: https://mhealth.md2k.org/2018-tech-showcase-hom

Khealth Digital Personalized Healthcare technology for Pediatric Asthma

Episodic:Traditional Clinician Centric Healthcare Questions to be answered: 1.Can we reduce the number of asthma attacks through continuous monitoring of the patient\u27s health condition? 2.Can we predict the asthma attack based on the data collected from the patient? 3.Can we predict the asthma vulnerability score for a patient? 4.Can we predict the asthma severity level of a patient? 5.Can we understand the casual relationship between the asthma symptom and the possible factors responsible for it

Khealth Digital Personalized Healthcare technology for Pediatric Asthma

Episodic:Traditional Clinician Centric Healthcare Questions to be answered: 1.Can we reduce the number of asthma attacks through continuous monitoring of the patient\u27s health condition? 2.Can we predict the asthma attack based on the data collected from the patient? 3.Can we predict the asthma vulnerability score for a patient? 4.Can we predict the asthma severity level of a patient? 5.Can we understand the casual relationship between the asthma symptom and the possible factors responsible for it