Abstract 3166: Querying, viewing and analyzing colorectal cancer translational research studies in tranSMART

Author(s):  
Mariska Bierkens ◽  
Wim van der Linden ◽  
Ward Weistra ◽  
Kees van Bochove ◽  
Jeroen A.M. Beliën ◽  
...  
2021 ◽  
Author(s):  
Michael Efeturi Okandeji ◽  
Ayodeji David Lijoka ◽  
Folusho Ayobami Atiba ◽  
James Olukayode Olopade

Abstract Background: The pigs, domesticated about 6000 years ago, are highly prolific omnivores belonging to the Family Suidae and Order artiodactyla along with their other hooved counterparts. They qualify as models for various translational research studies (including dental studies) because of their anatomical and physiological similarities to humans. There is however a dearth of information as regards the deciduous dental eruption profile (sequence and timing of eruption) of the Nigerian local pigs (NLP). This study was designed to determine the deciduous eruption profile in the NLP to assist in the management of the breed and in a bid to making the NLP more obvious as suitable animal models in dental research. A total of 51 healthy piglets (from postnatal day 1) were used for this. Their oral cavities were examined every other day for 29 weeks for signs of dental eruption. Looking at Mandibular (Md) and Maxillar (Mx) eruptions for Incisors (I), Canines(C), Premolars (P) and Molars (M), the modular sequence in the NIP was Md/ Mx I3(at birth), C (at birth) →Md I1→Md P3→MxP3 →MxI1 → Md I2 →MdP4 →MxP4 →MxP2→ Md I2 →MxI2 . Result: It was observed that variations in eruption timing exist amongst individuals and sexes while variation in eruption sequence exists between NLP and various breeds of pigs based on the literature.Conclusion: The results of this study will be particularly important to farmers, and researchers into NLP especially those using pigs in Nigeria as a model for translation research.


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

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


2017 ◽  
Vol 28 ◽  
pp. vi110 ◽  
Author(s):  
I. Rigotto ◽  
M. Schirripa ◽  
D. Costardi ◽  
F. Loupakis ◽  
C. Magro ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document