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An Example of Personalized Treatment in HR+ HER2+ Long Survivor Breast Cancer Patient (Case Report)
Martina Panebianco1, Beatrice Taurelli Salimbeni1, Michela Roberto1,2
1Department of Clinical and Molecular Medicine, Oncology Unit, Sant' Andrea Hospital, University "La Sapienza", 00167 Rome, Italy.
Background:
Personalized therapy is becoming increasingly popular in oncological scenarios, not only based on molecular pharmacological targets, but also preventing any drug-drug-gene interaction (DDGI), which could lead to severe toxicities. Single nucleotide polymorphisms (SNPs), the individual germline sequence variations in genes involved in drug metabolism, are correlated to interindividual response to drugs and explain both efficacy and toxicity profiles reported by patients.
Case Presentation:
We present the case of a woman suffering from triple-positive breast cancer; she had early-stage disease at the onset and after four years developed metastatic disease. During her history, she presented different toxicities due to antineoplastic treatments. Particularly, hypertransaminasemia was found during every line of treatment. Nevertheless, we were able to guarantee the patient an excellent therapeutic adhesion thanks to the supportive treatments and the reduction of drug dosage. Moreover, we conducted a simultaneous analysis of the patient's biochemical and genomic data thanks to Drug-PIN software, and we found several significant SNPs of the main enzymes and transporters involved in drug metabolism.
Conclusion:
Our case report demonstrated the relevance of DDGI in clinical practice management of a patient treated for advanced breast cancer, suggesting the role of Drug-PIN software as an easy-to-use tool to prevent adverse events during cancer treatment and to help physicians in therapeutic algorithms. However, further studies are needed to confirm these results.
Insights
Personalized cancer therapy prevents drug-drug-gene interactions (DDGI) by analyzing single nucleotide polymorphisms (SNPs). This case report highlights the utility of Drug-PIN software in managing advanced breast cancer treatment toxicity.
Area of Science:
- Oncology
- Pharmacogenomics
- Clinical Pharmacology
Background:
- Personalized therapy in oncology increasingly incorporates prevention of drug-drug-gene interactions (DDGI) to mitigate severe toxicities.
- Single nucleotide polymorphisms (SNPs) influence interindividual drug response, affecting both treatment efficacy and toxicity profiles.
Observation:
- A case of a woman with triple-positive breast cancer who developed metastatic disease and experienced treatment-related toxicities, including hypertransaminasemia.
- Supportive treatments and dose adjustments were employed to maintain therapeutic adherence despite recurrent toxicities.
- Simultaneous analysis of biochemical and genomic data using Drug-PIN software identified significant SNPs in drug metabolism enzymes and transporters.
Findings:
- The study demonstrated the clinical relevance of DDGI management in advanced breast cancer.
- Drug-PIN software proved to be a valuable tool for preventing adverse events and guiding therapeutic decisions.
Implications:
- This case report underscores the importance of integrating pharmacogenomic data into clinical practice for optimizing cancer treatment.
- Further research is warranted to validate the role of DDGI assessment and software tools in managing cancer therapy.
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