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Published on: April 7, 2018
Exploring Signaling Pathways and Pancreatic Cancer Treatment Approaches Using Genetic Models
Shorooq Khader1, Anita Thyagarajan1, Ravi P Sahu1
1Department of Pharmacology and Toxicology, Boonshoft School of Medicine at Wright State University, Dayton, OH 45345, United States.
Abstract:
Despite available treatment options, the overall survival rates of pancreatic cancer patients remain dismal. Multiple counter-regulatory pathways have been identified and shown to be involved in interfering with the efficacy of therapeutic agents. In addition, various known genetic alterations in the cellular signaling pathways have been implicated in affecting the growth and progression of pancreatic cancer. Nevertheless, the significance of other unknown pathways is yet to be explored, which provides the rationale for the intervention of new approaches. Several experimental genetic models have been explored to define the impact of key signaling cascades, and their mechanisms in the pathophysiology as well as treatment approaches of pancreatic cancer. The current review highlights the recent updates, and significance of such genetic models in the therapeutic efficacy of anti-tumor agents including the standard chemotherapeutic agents, natural products, cell signaling inhibitors, immunebased therapies and the combination of these approaches in pancreatic cancer.
Insights
Pancreatic cancer survival remains low due to complex pathways. This review explores experimental genetic models to improve therapeutic efficacy against pancreatic cancer.
Area of Science:
- Oncology
- Cancer Genetics
- Drug Discovery
Background:
- Pancreatic cancer exhibits dismal survival rates despite existing treatments.
- Counter-regulatory pathways and genetic alterations impede therapeutic efficacy.
- The role of unknown pathways necessitates novel therapeutic strategies.
Purpose of the Study:
- To review recent advancements in experimental genetic models for pancreatic cancer.
- To highlight the significance of these models in evaluating anti-tumor agent efficacy.
- To explore therapeutic approaches including chemotherapy, natural products, and immunotherapy.
Main Methods:
- Review of experimental genetic models in pancreatic cancer research.
- Analysis of signaling cascades' impact on pathophysiology and treatment.
- Evaluation of therapeutic agents' efficacy in preclinical models.
Main Results:
- Genetic models are crucial for understanding pancreatic cancer progression.
- These models aid in assessing the effectiveness of various anti-cancer agents.
- Combinatorial therapies show promise in preclinical settings.
Conclusions:
- Experimental genetic models are vital for advancing pancreatic cancer treatment.
- Understanding pathway interactions is key to overcoming therapeutic resistance.
- Further research into novel genetic models can improve patient outcomes.
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