scholarly journals On the Road to Accurate Protein Biomarkers in Prostate Cancer Diagnosis and Prognosis: Current Status and Future Advances

2021 ◽  
Vol 22 (24) ◽  
pp. 13537
Author(s):  
Yiwu Yan ◽  
Su Yeon Yeon ◽  
Chen Qian ◽  
Sungyong You ◽  
Wei Yang

Prostate cancer (PC) is a leading cause of morbidity and mortality among men worldwide. Molecular biomarkers work in conjunction with existing clinicopathologic tools to help physicians decide who to biopsy, re-biopsy, treat, or re-treat. The past decade has witnessed the commercialization of multiple PC protein biomarkers with improved performance, remarkable progress in proteomic technologies for global discovery and targeted validation of novel protein biomarkers from clinical specimens, and the emergence of novel, promising PC protein biomarkers. In this review, we summarize these advances and discuss the challenges and potential solutions for identifying and validating clinically useful protein biomarkers in PC diagnosis and prognosis. The identification of multi-protein biomarkers with high sensitivity and specificity, as well as their integration with clinicopathologic parameters, imaging, and other molecular biomarkers, bodes well for optimal personalized management of PC patients.

2007 ◽  
Vol 2 ◽  
pp. 117727190700200 ◽  
Author(s):  
Ziad J. Sahab ◽  
Suzan M. Semaan ◽  
Qing-Xiang Amy Sang

Biomarkers are biomolecules that serve as indicators of biological and pathological processes, or physiological and pharmacological responses to a drug treatment. Because of the high abundance of albumin and heterogeneity of plasma lipoproteins and glycoproteins, biomarkers are difficult to identify in human serum. Due to the clinical significance the identification of disease biomarkers in serum holds great promise for personalized medicine, especially for disease diagnosis and prognosis. This review summarizes some common and emerging proteomics techniques utilized in the separation of serum samples and identification of disease signatures. The practical application of each protein separation or identification technique is analyzed using specific examples. Biomarkers of cancers of prostate, breast, ovary, and lung in human serum have been reviewed, as well as those of heart disease, arthritis, asthma, and cystic fibrosis. Despite the advancement of technology few biomarkers have been approved by the Food and Drug Administration for disease diagnosis and prognosis due to the complexity of structure and function of protein biomarkers and lack of high sensitivity, specificity, and reproducibility for those putative biomarkers. The combination of different types of technologies and statistical analysis may provide more effective methods to identify and validate new disease biomarkers in blood.


Author(s):  
Patrick R Lawler ◽  
Deepak L Bhatt ◽  
Lucas C Godoy ◽  
Thomas F Lüscher ◽  
Robert O Bonow ◽  
...  

Abstract Systemic vascular inflammation plays multiple maladaptive roles which contribute to the progression and destabilization of atherosclerotic cardiovascular disease (ASCVD). These roles include: (i) driving atheroprogression in the clinically stable phase of disease; (ii) inciting atheroma destabilization and precipitating acute coronary syndromes (ACS); and (iii) responding to cardiomyocyte necrosis in myocardial infarction (MI). Despite an evolving understanding of these biologic processes, successful clinical translation into effective therapies has proven challenging. Realizing the promise of targeting inflammation in the prevention and treatment of ASCVD will likely require more individualized approaches, as the degree of inflammation differs among cardiovascular patients. A large body of evidence has accumulated supporting the use of high-sensitivity C-reactive protein (hsCRP) as a clinical measure of inflammation. Appreciating the mechanistic diversity of ACS triggers and the kinetics of hsCRP in MI may resolve purported inconsistencies from prior observational studies. Future clinical trial designs incorporating hsCRP may hold promise to enable individualized approaches. The aim of this Clinical Review is to summarize the current understanding of how inflammation contributes to ASCVD progression, destabilization, and adverse clinical outcomes. We offer forward-looking perspective on what next steps may enable successful clinical translation into effective therapeutic approaches—enabling targeting the right patients with the right therapy at the right time—on the road to more individualized ASCVD care.


Author(s):  
Hongwei Hsiao ◽  
Joonho Chang ◽  
Peter Simeonov

Objective: This study reports current status of knowledge and challenges associated with the emergency vehicle (police car, fire truck, and ambulance) crashes, with respect to the major contributing risk factors. Background: Emergency vehicle crashes are a serious nationwide problem, causing injury and death to emergency responders and citizens. Understanding the underlying causes of these crashes is critical for establishing effective strategies for reducing the occurrence of similar incidents. Method: We reviewed the broader literature associated with the contributing factors for emergency vehicle crashes: peer-reviewed journal papers; and reports, policies, and manuals published by government agencies, universities, and research institutes. Results: Major risk factors for emergency vehicle crashes identified in this study were organized into four categories: driver, task, vehicle, and environmental factors. Also, current countermeasures and interventions to mitigate the hazards of emergency vehicle crashes were discussed, and new ideas for future studies were suggested. Conclusion: Risk factors, control measures, and knowledge gaps relevant to emergency vehicle crashes were presented. Six research concepts are offered for the human factors community to address. Among the topics are emergency vehicle driver risky behavior carryover between emergency response and return from a call, distraction in emergency vehicle driving, in-vehicle driver assistance technologies, vehicle red light running, and pedestrian crash control. Application: This information is helpful for emergency vehicle drivers, safety practitioners, public safety agencies, and research communities to mitigate crash risks. It also offers ideas for researchers to advance technologies and strategies to further emergency vehicle safety on the road.


2019 ◽  
Vol 6 (2) ◽  
pp. 123-124 ◽  
Author(s):  
Michel Bolla ◽  
René-Olivier Mirimanoff
Keyword(s):  
The Road ◽  

2019 ◽  
Vol 207 ◽  
pp. 03002
Author(s):  
Tim Ruhe ◽  
Dominik Elsässer ◽  
Wolfgang Rhode ◽  
Maximilian Nöthe ◽  
Kai Brügge

With very high energy (VHE) gamma-ray astronomy becoming a mature branch of observational astrophysics, and the multi-messenger sky being opened up by neutrino observatories and gravitational wave detectors, we here propose to set up a ring of imaging air Cherenkov telescopes – the Cherenkov Telescope Ring (CTR). The aim of this proposed project would be to facilitate continuous monitoring of sources on the VHE- and multi-messenger sky with minimal time delays and with high sensitivity. Development time and construction cost could be kept comparatively low by both including existing facilities into the monitoring effort, and by relying on substantial previous expertise gained in the community on the road towards the Cherenkov Telescope Array (CTA). This way, the Ring could prove to be a highly efficient facility greatly enhancing the science prospects for future ground-based high-energy astrophysics.


Author(s):  
R. Hemalatha, Et. al.

Vehicles have a very crucial role in our routine life; we use different kinds of transportation in our living world, massive increasing vehicle on the road insisting serious problem such as traffic jam, vehicle congestion, road accidents, the demand for more fuel etc., to subdue the all those problems, the technology has used which is called VANET (Vehicular ad-hoc networks) VANET is self-organized wireless network when it has demanded to make communication between vehicles to vehicles and vehicles to infrastructure. VANET successfully implements the intelligent transportation system (ITS), even the vehicles having short-range networks. Due to the rapid change of network topology, the VANET installation is challengeable on the vehicles. To give a safe drive and reduce car accidents, the communication among drivers of vehicles and roadside devices makes sure that should be authenticated; any wrong modification (or) correction in real-time communication may create system failure and affect road safety. This article provides a brief description of various challenging issues in VANET and presents some existing solutions for these problems. Later, we discussed the current status of research and future goals. With this article, researchers and academicians can have a more detailed VANET and research trends in this emerging field.


Author(s):  
Dinh Phi Ho ◽  
Le Quoc Nghi ◽  
Tran Thi Sen

HCMC has confirmed its role as an economic locomotive and effective development model for Vietnam and the Southern Key Economic Zone as well. In integrating actively into the world economy, HCMC’s biggest challenge in the coming decade is to secure a sustainable development. Examining sustainability of its economic development is also a challenge to researchers and policy-makers in Vietnam. Based on theories of development economics and data about HCMC economic development in 2011-2015, this research uses statistical description of data to estimate the development process in HCMC. We find that HCMC is yet not to secure a sustainable development but on the road to achieve this goal.


Author(s):  
Oleksandr Solarov ◽  
Maryna Mikulina ◽  
Olexandr Tatsenko

The capacity of a road section depends on many factors, such as the width of the carriageway, the permissible visibility, the slopes, the turning radii, the composition of the cars, the maneuverability and the design of the cars. The development of the automotive industry leads to improved performance of cars and improved throughput. Changing all of these components changes the bandwidth. When the capacity is calculating the composition of the traffic flow became one of the key factors. Mobile traffic is characterized by the composition of different (by age and purpose) vehicles. The composition of the traffic flow is displayed as a percentage. Obtaining and analyzing the algorithm for determining the capacity of traffic flow on a particular section of road (interchange). The analyze of the current state of car use in Ukraine and select the optimal algorithm for obtaining real flow data on the road section was made. The main task of the engineer during the design of a certain section of the road is to ensure the maximum capacity of the road section. Maximum throughput is achieved by improving the road surface, widening the roadway (increasing the number of lanes and installing appropriate signs), allocating reversing lanes and installing reversing traffic lights. When calculating the capacity, it is necessary to take into account when characterizing the relationship between cars in the flow in different road conditions. Intervals between cars in a stream can change even at high intensity of movement that in turn quit


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