Cancer Bioinformatics for Updating Anticancer Drug Developments and Personalized Therapeutics

• Published in: Reviews on recent clinical trials Vol. 12; no. 2; p. 101
• Main Authors: Lu, Da-Yong, Qu, Rong-Xin, Lu, Ting-Ren, Wu, Hong-Ying
• Format: Journal Article
• Language: English
• Published: United Arab Emirates 01.01.2017
• Subjects: Antineoplastic Agents - pharmacology; Antineoplastic Agents - therapeutic use; Biomedical Research - methods; Computational Biology - methods; Female; Humans; Male; Molecular Targeted Therapy - methods; Neoplasms - drug therapy; Neoplasms - genetics; Precision Medicine - methods; Sensitivity and Specificity; cancer therapy; personalized cancer therapy; Cancer bioinformatics; drug developments; drug response predictions; neoplasm metastasis; cancer stem cells
• ISSN: 1876-1038
• DOI: 10.2174/1574887112666170209161444

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