Real time dynamic imaging and current targeted therapies in the war on cancer: a new paradigm

Abstract

In biology, as every science student is made to learn, ontology recapitulates phylogeny. In medicine, however, oncology recapitulates polemology, the science of warfare: The medical establishment is transitioning from highly toxic poisons that kill rapidly dividing normal and malignant cells with little specificity to tailored therapies that target the tumors with the lethality of the therapeutic warhead. From the advent of the information age with the incorporation of high-tech intelligence, reconnaissance, and surveillance has resulted in "data fusion" where a wide range of information collected in near real-time can be used to redesign most of the treatment strategies currently used in the clinic. The medical community has begun to transition from the 'black box' of tumor therapy based solely on the clinical response to the 'glass box' of dynamic imaging designed to bring transparency to the clinical battlefield during treatment, thereby informing the therapeutic decision to 'retreat or repeat'. The tumor microenvironment is dynamic, constantly changing in response to therapeutic intervention, and therefore the therapeutic assessment must map to this variable and ever-changing landscape with dynamic and non-static imaging capabilities. The path to personalized medicine will require incorporation and integration of dynamic imaging at the bedside into clinical practice for real-time, interactive assessment of response to targeted therapies. The application of advanced real time imaging techniques along with current molecularly targeted anticancer therapies which alter cellular homeostasis and microenvironment can enhance therapeutic interventions in cancer patients and further improve the current status in clinical management of patients with advanced cancers.

Keywords: Cancer; cancer therapy; drug delivery.; imaging; microRNA.

Figure 1

Schematic illustration of the current therapeutic strategy used in the clinic and the proposed hypothetical model which can potentially improve the clinical outcome of various therapies for treating tumors of different sub-types.

Figure 2

Schematic illustration of three major mechanisms contributes for tumor cells resistant to various therapeutic drugs and radiotherapy. By blocking these pathways temporarily during the treatments would potentially improve therapeutic outcome of various therapies used in the clinic for treating tumors of various sub-types.