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Strategy for Biobanking of Ovarian Cancer Organoids: Addressing the Interpatient Heterogeneity across Histological Subtypes and Disease Stages
Published on: February 23, 2024
Future perspectives of personalized oncology
Snjezana Stambuk1, Dinka Sundov, Sendi Kuret
1Split University, University Center for Forensic Sciences, Split, Croatia. sstambuk@unist.hr
Abstract:
Based upon an individual's molecular make-up, personalized molecular medicine provides information regarding the origin of disease, its treatment and progression, while personalized molecular pharmacology advises on drug prescription and patient response to it, thus ensuring drug effectiveness and preventing drug toxicity or lack of response. Interindividual differences in drug responses are mostly due to structural variation in parts of genome, e.g. in genes participating in drug metabolism, transport or targeting. However, a wide variety of diseases and accompanying health conditions, including patient's therapy or drug response, also have epigenetic or epigenomic etiology. High priority for personalized oncologic research stems from inter/intraindividual tumor heterogeneity provoked by gradual acquisition of multiple random, or programmed mutations and rearrangements as well as epigenetic alterations or by stochastic fluctuations in cell components, all in tight feedback interaction with tumor's environmental or therapy conditions. Natural selection subsequently shapes inter/intraindividual tumor heterogeneity by promoting clonal expansion of cells that have acquired advantageous mutations for tumor population. Hence, the main rationale of personalized molecular oncology should focus on treating disease by relying on relevant structure and state of patient's whole molecular network (genome/transcriptome/RNome/proteome/metabolome/metabonome) in interaction with its unique environmental conditions, thus implying right therapy for the right patient at the right dose and time. The future of personalized oncology should therefore rely on the methods of systems biology applied in cytology and pathology in order to develop and utilize the efficient and effective diagnostic, prognostic and predictive biomarkers, consequently providing the molecular information on tumor origin, its potential for metastasis, adequate therapy, tumor specific therapy responsiveness, and the probability of its recurrence.
Insights
Personalized molecular medicine tailors treatments based on an individual's unique molecular profile, improving drug effectiveness and preventing adverse reactions. This approach is crucial for personalized oncology, addressing tumor heterogeneity for optimal patient outcomes.
Area of Science:
- Molecular Medicine
- Pharmacology
- Oncology
- Systems Biology
Background:
- Personalized molecular medicine leverages individual molecular makeup for disease insights and treatment strategies.
- Interindividual differences in drug response are often linked to genomic variations affecting drug metabolism, transport, and targets.
- Epigenetic factors also play a significant role in disease etiology and patient response to therapy.
Purpose of the Study:
- To highlight the importance of personalized molecular oncology in addressing tumor heterogeneity.
- To emphasize the need for a holistic molecular network approach (genome to metabolome) for tailored cancer treatment.
- To advocate for systems biology methods in developing diagnostic and prognostic biomarkers for oncology.
Main Methods:
- Analysis of genomic and epigenomic variations influencing drug response.
- Investigation of tumor heterogeneity resulting from mutations, epigenetic alterations, and environmental interactions.
- Application of systems biology principles to integrate multi-omics data (genome, transcriptome, proteome, metabolome).
Main Results:
- Personalized molecular pharmacology ensures drug efficacy and minimizes toxicity by considering individual genetic variations.
- Tumor heterogeneity, driven by genetic and epigenetic changes, necessitates personalized therapeutic strategies.
- A comprehensive understanding of the patient's molecular network and environmental context is key to effective cancer treatment.
Conclusions:
- Personalized molecular oncology requires a systems-level understanding of the patient's molecular network and its interaction with the environment.
- The future of oncology relies on systems biology approaches to develop biomarkers for accurate diagnosis, prognosis, and prediction of therapy response.
- Implementing personalized medicine ensures the right therapy is administered to the right patient at the optimal dose and time.
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