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Published on: May 12, 2020
Targeting mitochondria in Cancer therapy: Machine learning analysis of hyaluronic acid-based drug delivery systems
Giorgia Natalia Iaconisi1, Amer Ahmed2, Graziantonio Lauria3
1Department of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy.
Background:
Mitochondrial alterations play a crucial role in the development and progression of cancer. Dysfunctional mitochondria contribute to the acquisition of key hallmarks of cancer, including sustained proliferative signaling, evasion of growth suppressors, and resistance to cell death. Consequently, targeting mitochondrial dysfunction has emerged as a promising therapeutic strategy. Hyaluronic acid (HA), a naturally occurring glycosaminoglycan, has garnered significant attention due to its multifaceted roles in cancer biology.
Methods:
We employed a Systematic Literature Review (SLR) approach to examine a collection of 90 scientific publications using a text mining technique leveraging the Latent Dirichlet Allocation (LDA) algorithm.
Results:
The result of this activity, performed through the MySLR digital platform, allowed us to identify a set of two distinct topics representing the research domain. Specifically, Topic 1 comprised 41 papers, while Topic 2 comprised 49 papers.
Conclusions:
The computational analysis highlighted that the integration of HA into drug delivery systems represents a promising approach to enhance the effectiveness and safety of cancer therapies. The discussed clinical trials provided compelling evidence of the potential of HA-based treatments in targeting cancer cells while minimizing adverse effects on healthy tissues.
Insights
Hyaluronic acid (HA) integration into drug delivery systems shows promise for improving cancer therapy effectiveness and safety. This approach targets cancer cells while minimizing harm to healthy tissues, offering a novel therapeutic strategy.
Area of Science:
- Oncology
- Biochemistry
- Drug Delivery
Background:
- Mitochondrial dysfunction is a key factor in cancer development and progression.
- Targeting mitochondrial dysfunction presents a promising therapeutic avenue.
- Hyaluronic acid (HA) plays diverse roles in cancer biology.
Purpose of the Study:
- To investigate the role of hyaluronic acid (HA) in cancer therapy.
- To analyze research trends in HA-based cancer treatments.
Main Methods:
- A Systematic Literature Review (SLR) of 90 publications was conducted.
- Latent Dirichlet Allocation (LDA) algorithm was used for text mining analysis.
- Analysis was performed using the MySLR digital platform.
Main Results:
- Two distinct research topics were identified within the literature.
- Topic 1 included 41 papers, and Topic 2 included 49 papers.
- LDA analysis revealed key themes in HA-based cancer research.
Conclusions:
- Integrating HA into drug delivery systems enhances cancer therapy efficacy and safety.
- HA-based treatments show potential for targeted cancer cell delivery.
- Clinical trials suggest HA treatments minimize adverse effects on healthy tissues.
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