Database Presentation Term Paper

PAGES
5
WORDS
1460
Cite

Database Presentation The objective of this study is to present a new database to be implemented in the clinical setting to increase quality and safety of patient care.

The database at focus in this work in writing is that of the Targeted Therapy Database (TTD) in a Cancer unit in a hospital. The work of Mocellin, et al. (2010) relates that the "efficacy of current anticancer treatments is far from satisfactory and many patients still die of their disease. A general agreement exists on the urgency of developing molecularly targeted therapies, although their implementation in the clinical setting is in its infancy. In fact, despite the wealth of preclinical studies addressing these issues, the difficulty of testing each targeted therapy hypothesis in the clinical arena represents an intrinsic obstacle. As a consequence, we are witnessing a paradoxical situation where most hypotheses about the molecular and cellular biology of cancer remain clinically untested and therefore do not translate into a therapeutic benefit for patients." (p.1) According to Mocellin (2010) Cancer is representative of the "third leading cause of death throughout the world and second in Western countries. However, early diagnosis is the best possible way of cure for the majority of types of cancer. Targeted therapy is reported to include "those approaches that aim to tailor the therapy to the patient (or cohort of patients) based on specific molecular features of the disease- and/or patient. The ultimate goal is obviously to maximize the therapeutic efficacy while minimizing the toxicity, that is, increasing the therapeutic index. In cancer medicine, tumor-specific molecular derangements (e.g., gene mutation or protein overactivation), are the ideal targets for therapeutic strategies aimed to kill malignant cells while sparing normal cells. Furthermore, patient-specific molecular features such as polymorphisms of detoxifying enzymes can affect the metabolism of anticancer drugs and thus can play a role in both efficacy and toxicity profiles. According to these principles, personalized targeted therapy includes not only the development and clinical implementation of "smart" drugs (i.e., agents that target tumor-specific molecular derangements), but also the identification of the patient molecular profile that maximizes the therapeutic index of "conventional" chemotherapeutics." (Mocellin, et al., 2010, p.1)

Two mainstreams of research in the field of targeted anticancer therapy are those stated as follows:

(1) to develop novel therapeutic...

...

(Mocellin, et al., 2010, p.1)
According to Mocellin et al. The hurdles to effectively using targeted therapy in treating cancer include:

(1)elucidation of the molecular pathways governing disease development and progression has provided investigators with numerous potential new therapeutic targets, but has at the same time exponentially increased the number of variables that must be taken into account when designing new drugs and trials (Mocellin, et al., 2010, p.1)

(2) the ever growing amount of information generated by the scientific community stands in striking contrast to the parallel lack of publicly available bioinformatic tools capable of integrating data and knowledge in a rationally organized, biologically informative and therapeutically oriented manner, which would maximize the likelihood of finding the shortest path to effective cancer treatments (Mocellin, et al., 2010, p.1)

(3) therapy personalization requires the study of molecular profiles on a single-patient basis, which requires the availability of huge computable biological databanks; a formidable corollary issue is that data sharing implies the compatibility of different technological platforms used around the world by different investigators (Mocellin, et al., 2010, p.1);

(4) the costs for the development and the production of "smart" drugs may pose problems of expenses that cannot be sustained by either public or private research institutions or even by national health care system. (Mocellin, et al., 2010, p.1)

I. Targeted Therapy Database

The Targeted Therapy Database (TTD) is reported to be "a systematic collection of the scientific knowledge regarding the development of targeted therapy for melanoma. A copy of the database is available as an open-access file in the MMMP website (http://www.mmmp.org)." (Mocellin, et al., 2010, p.1) The intentions of the database is to "gather in a standardized and computationally oriented fashion the…

Sources Used in Documents:

Bibliography

Zhu, Feng, et al. (2010) Update of TTD: Therapeutic Target Database. Nucleic Acids Res 2010, Jan; 38. Retrieved from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808971/

Mocellin, S. (2010) Targeted Therapy Database (TTD): A Model to Match Patient's Molecular Profile with Current Knowledge on Cancer Biology. PLoS. Retrieved from: http://www.plosone.org/article/citationList.action;jsessionid=9668016174E6CACB8CFBBB1BD64BC81B?articleURI=info%3Adoi%2F10.1371%2Fjournal.pone.0011965

Chen, ZL and Chen, YZ (2002) TTD: Therapeutic Target Database. Nucl. Acids Res. 39 (1). Retrieved from: http://nar.oxfordjournals.org/content/30/1/412.full


Cite this Document:

"Database Presentation" (2012, November 16) Retrieved April 19, 2024, from
https://www.paperdue.com/essay/database-presentation-107116

"Database Presentation" 16 November 2012. Web.19 April. 2024. <
https://www.paperdue.com/essay/database-presentation-107116>

"Database Presentation", 16 November 2012, Accessed.19 April. 2024,
https://www.paperdue.com/essay/database-presentation-107116

Related Documents

" "STUDENT INFORMATION TABLE" ( "STUDENT ID" CHARACTER (4) NOT NULL, NAME CHARACTER (25) NOT NULL, "STREET NUMBER" CHARACTER (10) NOT NULL, "STREET NAME" CHARACTER (25) NOT NULL, CITY CHARACTER (25) NOT NULL, STATE CHARACTER (10) NOT NULL, EMAIL CHARACTER (25) NOT NULL, "PHONE NUMBER" CHARACTER (15) NOT NULL ); CONNECT RESET; SQL FOR Book_Information CONNECT TO LIBRARY; CREATE TABLE "USER"; CREATE TABLE BookInformation ( "BookISBN" CHARACTER (10) NOT NULL; "AUTHOR" CHARACTER (25) NOT NULL; "TITLE" CHARACTER (50) NOT NULL; "PRICE" CHARACTER (10) NOT NULL; CONNECT RESET; SQL STATEMENT FOR

Database Data Warehousing Design Data warehousing is a powerful tool that business organizations use to enhance competitive advantages. Data warehousing supports business decision by collecting, organizing and consolidating data for analysis and reporting using tools such as OLAP (online analytical processing ) and data mining. Typically, the relational database technology is generally being used to design a data warehousing and a relational database is a database having collection of tables, and

Design criteria exist at the levels of the technical, system integration aspects of the database to other systems through XML. This integration is critically important to ensure that the applications created can be effectively used over time and not have any scalability issues. There is also the need for designing the databases at the presentation layer to provide for scalability and flexibility of being able to create applications relatively quickly

This would also mean that the shadowing process goes on behind the scenes, and one need not even be aware that the process is in fact going on at any point of time; it can go on without creating any sort of disturbance to the user of the application, at any point of time. (Shadow Files) Another important advantage of using the shadowing of a database is that data would

Database marketing, sales force automation and virtual reality are three of the newest trends in technology to impact the way company's market to their customers. All three technologies offer specific advantages and disadvantages for their use. The appropriate use of the technology must be based solidly on the type of product, costs incurred, and the nature of relationship with clients. When used in a judicious way, all three technologies can

Database Data Warehouse Design Our company, Data Analytic Limited, specializes in collecting and analyzing data for various organizations. Over the years, we have assisted various companies to turn raw data into valuable information that assists the companies in making effective decision profitable in the short and long run. Our research and data analytics are geared towards giving extra edge to various companies. Our services include processing and analyzing terabytes of data