scholarly journals Potential contribution of the study nurse to colorectal cancer (CRC) translational research

2017 ◽  
Vol 28 ◽  
pp. vi110 ◽  
Author(s):  
I. Rigotto ◽  
M. Schirripa ◽  
D. Costardi ◽  
F. Loupakis ◽  
C. Magro ◽  
...  
Author(s):  
Yue Wang Webster ◽  
Ernst R Dow ◽  
Mathew J Palakal

Even though numerous tools and technologies have been developed to meet this need with various degrees of success, a conceptual framework is needed to fully realize the value of those tools and technologies. The authors propose Complex System (CS) to be the logical foundation of such a framework. Since translational research is a spiral and dynamic process. With the CS mindset, they designed a multi-layer architecture called HyGen (Hypotheses Generation Framework) to address the challenges faced by translational researchers. In order to evaluate the framework, the authors carried out heuristic and quantitative tests in Colorectal Cancer disease area. The results demonstrate the potential of this hybrid approach to bridge silos and to identify hidden links among clinical observations, drugs, genes and diseases, which may eventually lead to the discovery of novel disease targets, biomarkers and therapies.


2020 ◽  
Vol 21 (22) ◽  
pp. 8757
Author(s):  
Iris B. A. W. te Paske ◽  
Marjolijn J. L. Ligtenberg ◽  
Nicoline Hoogerbrugge ◽  
Richarda M. de Voer

To discover novel high-penetrant risk loci for hereditary colorectal cancer (hCRC) and polyposis syndromes many whole-exome and whole-genome sequencing (WES/WGS) studies have been performed. Remarkably, these studies resulted in only a few novel high-penetrant risk genes. Given this observation, the possibility and strategy to identify high-penetrant risk genes for hCRC and polyposis needs reconsideration. Therefore, we reviewed the study design of WES/WGS-based hCRC and polyposis gene discovery studies (n = 37) and provide recommendations to optimize discovery and validation strategies. The group of genetically unresolved patients is phenotypically heterogeneous, and likely composed of distinct molecular subtypes. This knowledge advocates for the screening of a homogeneous, stringently preselected discovery cohort and obtaining multi-level evidence for variant pathogenicity. This evidence can be collected by characterizing the molecular landscape of tumors from individuals with the same affected gene or by functional validation in cell-based models. Together, the combined approach of a phenotype-driven, tumor-based candidate gene search might elucidate the potential contribution of novel genetic predispositions in genetically unresolved hCRC and polyposis.


2020 ◽  
Vol 21 (11) ◽  
pp. 4105
Author(s):  
Alessandro Passardi ◽  
Emanuela Scarpi ◽  
Paola Ulivi

Colorectal cancer (CRC) is the third most frequently diagnosed cancer in the world [...]


Author(s):  
Mariska Bierkens ◽  
Wim van der Linden ◽  
Ward Weistra ◽  
Kees van Bochove ◽  
Jeroen A.M. Beliën ◽  
...  

2020 ◽  
Author(s):  
Elizabeth Lemmon ◽  
Catherine Hanna ◽  
Peter S Hall ◽  
Eva Morris

Introduction: Several forces are contributing to an increase in the number of people living with and surviving colorectal cancer (CRC). However, due to the lack of available data, little is known about those implications. In recent years, the use of administrative records to inform research has been increasing. The aim of this paper is to investigate the potential contribution that administrative data could have on the health economic research of CRC. Methods: To achieve this aim we conducted a systematic review of the health economic CRC literature published in the United Kingdom and Europe within the last decade (2009-2019). Results: Thirty-seven relevant studies were identified and divided into economic evaluations, cost of illness studies and cost consequence analyses. Conclusions: The use of administrative data, including cancer registry, screening and hospital records, within the health economic research of CRC is commonplace. However, we found that this data often comes from regional databases, which reduces the generalisability of results. Further, administrative data appear less able to contribute towards understanding the wider and indirect costs associated with the disease. We have identified several ways in which various sources of administrative data could enhance future research in this area.


2013 ◽  
Vol 04 (06) ◽  
pp. 44-50 ◽  
Author(s):  
Karen-Lise Garm Spindler ◽  
Niels Pallisgaard ◽  
Rikke Fredslund Andersen ◽  
John Ploen ◽  
Anders Jakobsen

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