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Bio-Informatics – Review on Current Research and Evolution of Cancer Targeted Therapies

Ayan Chatterjee, Uttam Kumar Roy, Nibedita Pahari. Published in Artificial Intelligence.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Ayan Chatterjee, Uttam Kumar Roy, Nibedita Pahari
10.5120/cae2016652049

Ayan Chatterjee, Uttam Kumar Roy and Nibedita Pahari. Article: Bio-Informatics – Review on Current Research and Evolution of Cancer Targeted Therapies. Communications on Applied Electronics 4(3):48-55, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Ayan Chatterjee and Uttam Kumar Roy and Nibedita Pahari},
	title = {Article: Bio-Informatics – Review on Current Research and Evolution of Cancer Targeted Therapies},
	journal = {Communications on Applied Electronics},
	year = {2016},
	volume = {4},
	number = {3},
	pages = {48-55},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

The statistics shows that 7 million people die each year worldwide from cancer related cases & by 2020 this number will be more than around 16 million as methods of cancer treatment & cancer classification have become most challenging. So, cancer has become a noted disease responsible for major death rate. 200 different types of cancers are identified but some of them like lung, liver, stomach, colorectal, breast, oesophagal are leading death count. More than 60% of world’s total new cases occur in Africa, Asia and Central and South America per annum. These regions account for 70% of the world’s cancer deaths by oesophagal cancers as reported by World Health Organization.

This article reviews and discusses recent improvement in the treatment of cancer and the challenges that exist, in reduced cost & time. Development and use of bioinformatics, nanotechnology is essential for the future cancer therapeutics. Most cancer treatments work for limited number of patients and this is likely to remain true for many molecularly-targeted drugs. As a consequence, a large proportion of patients are deprived of effective treatments and it is a huge financial burden on our health care system. It is essential to develop accurate tools for delivering the right treatment to the right patient based on biological characterization of each patient's tumor. The integration of wet experiments and the use of bio-informatics analysis have become an important part of biological and clinical research of this century. If we don’t pay attention to it in future we will find a cancer patient in each family across the world. Cancer cure is really difficult but not complete hopeless. A lot of researches are being carried out in the field of bio-informatics to open up new possibilities for cancer treatments.

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Keywords

Ligand, Microarray, Target, PDB, cell cycle, Oncogenes, Tumor, Peptide, DNA/Gene, Tumor Suppressor, Kinase etc.