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Updated: Aug 29, 2025

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity
Published on: April 26, 2012
Management of Side Effects in the Personalized Medicine Era: Chemotherapy-Induced Peripheral Neurotoxicity
Eleonora Pozzi1,2, Paola Alberti3,4
1School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Abstract:
Pharmacogenomics is a powerful tool to predict individual response to treatment, in order to personalize therapy, and it has been explored extensively in oncology practice. Not only efficacy on the malignant disease has been investigated but also the possibility to predict adverse effects due to drug administration. Chemotherapy-induced peripheral neurotoxicity (CIPN) is one of those. This potentially severe and long-lasting/permanent side effect of commonly administered anticancer drugs can severely impair quality of life (QoL) in a large cohort of long survival patients. So far, a pharmacogenomics-based approach in CIPN regard has been quite delusive, making a methodological improvement warranted in this field of interest: even the most refined genetic analysis cannot be effective if not applied correctly. Here we try to devise why it is so, suggesting how THE "bench-side" (pharmacogenomics) might benefit from and should cooperate with THE "bed-side" (clinimetrics), in order to make genetic profiling effective if applied to CIPN.
Insights
Pharmacogenomics shows promise for predicting chemotherapy side effects like peripheral neurotoxicity. Integrating genetic insights with clinical data is crucial for improving treatment personalization and patient quality of life.
Area of Science:
- Oncology
- Pharmacogenomics
- Clinical Pharmacology
Background:
- Pharmacogenomics aids in predicting individual treatment responses and adverse drug effects in oncology.
- Chemotherapy-induced peripheral neurotoxicity (CIPN) is a severe, potentially permanent side effect impacting patient quality of life (QoL).
- Current pharmacogenomics approaches for CIPN prediction have yielded limited success, necessitating methodological improvements.
Purpose of the Study:
- To investigate the reasons behind the limited effectiveness of pharmacogenomics in predicting CIPN.
- To propose a collaborative approach between "bench-side" pharmacogenomics and "bed-side" clinimetrics for enhanced genetic profiling in CIPN.
Main Methods:
- Review of existing pharmacogenomics strategies applied to CIPN.
- Analysis of the integration challenges between genetic data and clinical outcomes.
- Conceptual framework development for combining "bench-side" and "bed-side" data.
Main Results:
- The effectiveness of genetic analysis for CIPN is hampered by incorrect application and integration.
- A significant gap exists between "bench-side" genetic discoveries and "bed-side" clinical utility.
- Cooperation between pharmacogenomics and clinimetrics is essential for accurate genetic profiling.
Conclusions:
- Methodological improvements are required to make pharmacogenomics effective for CIPN prediction.
- Integrating clinimetrics with pharmacogenomics can enhance the clinical utility of genetic profiling.
- A combined approach is vital for personalizing cancer therapy and mitigating CIPN, thereby improving QoL.
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