Cancer Bioinformatics for Updating Anticancer Drug Developments and Personalized Therapeutics

Title:Cancer Bioinformatics for Updating Anticancer Drug Developments and Personalized Therapeutics

Volume: 12 Issue: 2

Author(s): Da-Yong Lu*, Rong-Xin Qu, Ting-Ren Lu and Hong-Ying Wu

Affiliation:

• Shanghai University, Shanghai 200444,China

Keywords: Cancer bioinformatics, cancer stem cells, cancer therapy, drug developments, drug response predictions, neoplasm metastasis, personalized cancer therapy.

Abstract: Background: Last two to three decades, this world witnesses a rapid progress of biomarkers and bioinformatics technologies. Cancer bioinformatics is one of such important omics branches for experimental/clinical studies and applications.

Methods: Same as other biological techniques or systems, bioinformatics techniques will be widely used. But they are presently not omni-potent. Despite great popularity and improvements, cancer bioinformatics has its own limitations and shortcomings at this stage of technical advancements.

Results: This article will offer a panorama of bioinformatics in cancer researches and clinical therapeutic applications-possible advantages and limitations relating to cancer therapeutics. A lot of beneficial capabilities and outcomes have been described. As a result, a successful new era for cancer bioinformatics is waiting for us if we can adhere on scientific studies of cancer bioinformatics in malignant- origin mining, medical verifications and clinical diagnostic applications.

Conclusion: Cancer bioinformatics gave a great significance in disease diagnosis and therapeutic predictions. Many creative ideas and future perspectives are highlighted.

Cite this article as:

Lu Da-Yong*, Qu Rong-Xin, Lu Ting-Ren and Wu Hong-Ying, Cancer Bioinformatics for Updating Anticancer Drug Developments and Personalized Therapeutics, Reviews on Recent Clinical Trials 2017; 12 (2) . https://dx.doi.org/10.2174/1574887112666170209161444

DOI https://dx.doi.org/10.2174/1574887112666170209161444	Print ISSN 1574-8871
Publisher Name Bentham Science Publisher	Online ISSN 1876-1038