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.


biobank, personalized medicine, translational medicine, clinical database, biospecimens