ABSTRACT
Background and aims: In the context of the novelty of personalized medicine and biobanking in Romania, there is an acute need to analyze the degree of knowledge of the key actors in the domain. The present study sought to investigate the understanding of 'biobanking' and 'personalized medicine' in three categories of participants in the development of a biobank - health professionals (clinicians/diagnosticians), scientific researchers, and patients, in order to identify possible faults regarding the level of information. The secondary objective of this study was to identify key elements and relevant data that should be detailed in the clinical dataset that accompanies a biological sample. Methods: A total of 120 participants were included in this study that were divided into three categories that represent key actors in the development and management of a cancer biobank - clinicians (n=40), scientific researchers (n=40), and oncology patients (n=40). Results: The survey indicated that the terms 'biobank' and 'personalized medicine' are unknown only in a proportion of patients, while for the other two groups, these terms are already known. The second questionnaire allowed the arrangement of a recommended clinical dataset to be filled when a biological sample is provided to be included in a cancer biobank. Conclusions: The trust of patients and healthcare professionals in building biobanks that adhere to ethical and operational standards in Romania is important, as the development of artificial intelligence and databases allows advanced knowledge and connection of findings from different databases and, therefore, brings the concept of personalized medicine closer to the clinical practice. The information included in this dataset will be integrated and constitutes a comprehensive biobank database. All these aspects are meant to increase the utility of the specimens in cancer research, as clearly annotated samples, along with prospective data, bring valuable knowledge that helps scientific researchers and clinicians make the clinical connection between the molecular alterations and the phenotype of particular patients or a disease.
ABSTRACT
Background/Aim: A biobank is an organization that gathers, refines, preserves and provides access to biospecimens along with relevant clinical data that can be used in applied or clinical research. Biobanking is a critical component of the scientific foundation for personalized medicine; this implies the accessibility of high-quality human biospecimens, such as blood, tissue, and other body fluids, along with the patient clinical data that goes with them. Methods: This paper summarizes the function of biobanks in oncology and the requirements for biobank development in translational and clinical research. Results: Biobanks raise numerous ethical issues that government agencies address by enacting particular laws. To develop personalized medicine, biobanks are crucial, given that the availability of an extensive collection of patient samples with thoroughly annotated clinical and pathological data is an essential necessity. Also, data related to biobanking raises complex ethical, legal, and social issues, particularly concerning the protection of donor privacy and the appropriate use of collected samples. International standards have been developed to address these issues to ensure biobanking practices' quality, safety, and integrity. Conclusions: Biobanking is vital in advancing biomedical research, supporting clinical applications, and enhancing our understanding of human health and disease. Using real-world data and biobanking can accelerate medical research, support personalized medicine initiatives, and improve patient care.
ABSTRACT
The present review outlines the current information available about biobanks including: summarizing the main ethical issues encountered when integrating patient samples in research projects; emphasizing the importance of biobanks as the basis for any personalized medicine therapies in cancer with a particular focus for oral cancer, through the use of biomarkers; and providing examples of biobanks that use anonymous sample collection and labelling methodologies to help alleviate the problems of privacy, informed consent, data security as well as public trust.
