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Studying Pancreatic Cancer Stem Cell Characteristics for Developing New Treatment Strategies
Published on: June 20, 2015
Novel Holistic Approaches for Overcoming Therapy Resistance in Pancreatic and Colon Cancers
1Departments of Pathology and Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, Mich., USA.
Abstract:
Gastrointestinal (GI) cancers, such as of the colon and pancreas, are highly resistant to both standard and targeted therapeutics. Therapy-resistant and heterogeneous GI cancers harbor highly complex signaling networks (the resistome) that resist apoptotic programming. Commonly used gemcitabine or platinum-based regimens fail to induce meaningful (i.e. disease-reversing) perturbations in the resistome, resulting in high rates of treatment failure. The GI cancer resistance networks are, in part, due to interactions between parallel signaling and aberrantly expressed microRNAs (miRNAs) that collectively promote the development and survival of drug-resistant cancer stem cells with epithelial-to-mesenchymal transition (EMT) characteristics. The lack of understanding of the resistance networks associated with this subpopulation of cells as well as reductionist, single protein-/pathway-targeted approaches have made 'effective drug design' a difficult task. We propose that the successful design of novel therapeutic regimens to target drug-resistant GI tumors is only possible if network-based drug avenues and agents, in particular 'natural agents' with no known toxicity, are correctly identified. Natural agents (dietary agents or their synthetic derivatives) can individually alter miRNA profiles, suppress EMT pathways and eliminate cancer stem-like cells that derive from pancreatic cancer and colon cancer, by partially targeting multiple yet meaningful networks within the GI cancer resistome. However, the efficacy of these agents as combinations (e.g. consumed in the diet) against this resistome has never been studied. This short review article provides an overview of the different challenges involved in the understanding of the GI resistome, and how novel computational biology can help in the design of effective therapies to overcome resistance.
Insights
Gastrointestinal cancers resist therapy due to complex signaling networks. Natural agents may overcome this resistance by targeting multiple pathways and cancer stem cells.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Gastrointestinal (GI) cancers, including colon and pancreatic cancers, exhibit high resistance to conventional and targeted therapies.
- Therapy resistance in GI cancers is driven by complex signaling networks (the resistome), aberrant microRNA (miRNA) expression, and epithelial-to-mesenchymal transition (EMT) in cancer stem cells.
- Current treatment strategies often fail due to a limited understanding of these resistance mechanisms and a focus on single-target approaches.
Purpose of the Study:
- To review the challenges in understanding GI cancer resistance networks.
- To explore the potential of network-based therapeutic strategies, particularly natural agents, for overcoming drug resistance.
- To highlight the role of computational biology in designing effective therapies against the GI cancer resistome.
Main Methods:
- Review of existing literature on GI cancer resistance mechanisms.
- Analysis of signaling pathways, miRNA interactions, and cancer stem cell biology.
- Discussion of natural agents and their potential multi-targeted effects.
Main Results:
- GI cancer resistance involves intricate networks (resistome) that promote survival of drug-resistant cancer stem cells with EMT characteristics.
- Natural agents show potential to modulate miRNA profiles, suppress EMT, and eliminate cancer stem cells.
- The efficacy of natural agents in combination against the GI cancer resistome remains largely unstudied.
Conclusions:
- Overcoming GI cancer resistance requires a network-based approach, moving beyond single-target strategies.
- Natural agents offer a promising, low-toxicity avenue for targeting multiple resistance networks simultaneously.
- Computational biology tools are crucial for identifying and designing novel combination therapies to combat GI cancer resistance.
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