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.
