AB052. Rare tumors biobanking and artificial intelligence (AI): complexity and synergism
Abstract

AB052. Rare tumors biobanking and artificial intelligence (AI): complexity and synergism

Simona di Martino1, Enzo Gallo2, Chiara Mandoj3, Celeste Accetta1, Ana Maria Arteni Brindusa1, Matteo Pallocca4, Valentina Laquintana1, Giovanni Cigliana3, Paolo Visca2, Edoardo Pescarmona2, Mirella Marino2

1Department of Pathology, (Tissue Biobank) IRCCS Regina Elena National Cancer Institute, Rome, Italy; 2Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy; 3UOSD Clinical Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy; 4Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy

Correspondence to: Simona di Martino, Dr.ssa, PhD. Department of Pathology, (Tissue Biobank) IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy. Email: simona.dimartino@ifo.it; Mirella Marino, MD. Department of Pathology, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy. Email: mirella.marino@ifo.it.

Background: Oncological biobanks provide a powerful tool to collect, preserve and distribute human tissues, tumoral or normal, as well as biological fluids, associated to their demographical and clinical data. The purpose of biobanks is to implement basic oncological, clinical and translational research. At the Regina Elena National Cancer Institute, a Biobank (BBIRE) was established since 2013/2014. Over the time a precise definition of biobank activity, of its structural organization and standard operative procedures have been established, allowing the Biobank being certified according to the rule UNI EN ISO 9001:2015. Moreover, an ongoing implementation should allow the accreditation of the Biobank according to the European rule UNI CEI EN ISO 20387:2021. The BBIRE refers for the human tissues (tumors and normal tissues) to the Pathology Department, and for the body fluids to the clinical pathology laboratory.

Methods: Human tumor tissues (T) as well as normal (N) control tissues and body fluids (Body Fluid) are collected according to internationally established quality standards in accordance with the ethical rules of the biobank. All patients signed a written informed consent. Fresh frozen tumor tissues and normal counterparts are collected and preserved in specific and restricted access laboratory areas. In particular tissues are collected under the “umbrella” of approved projects, however, spontaneous biobanking activity is performed for rare tumors. Representative tissue sections are systematically digitally scanned to foster the creation of a digital pathology (DP) archive.

Results: The BBIRE has recruited more than 796 patients came from Thoracic Surgery. Specifically, in the tissue biobank 7,195 tissue samples from 796 patients were collected, of which 3,577 samples of snap frozen tumor tissue, 2,840 samples of adjacent normal snap frozen tissue. Moreover, we collected 142 samples of preserved tumor tissues in optimal cutting temperature (OCT) and 54 samples of adjacent normal tissue stored in OCTs. We also collected 76 pleural effusions to generate primary cultures. Thoracic solid tumors biobanked included lung cancer, thymic epithelial tumors (TETs) and malignant mesothelioma specimens. Primary cell cultures/cell lines of mesothelioma and thymoma were established and frozen for future projects. Biobank-based gene-expression profile TET studies were published in recent years.

Conclusions: The integrate data generated by image/omics analyses contribute to the development of precision medicine as well as of artificial intelligence (AI) tools, with the bioinformatics support. The BBIRE is member of European research network of Biobanks and Biomolecular Resources (BBMRI-ERIC) participates with European groups (EORTC-European Organization for Research and Treatment of Cancer) to large-scale multicenter projects.

Keywords: Rare tumors; biobanking; artificial intelligence (AI); Standard operating procedures; OMICS


Acknowledgments

Funding: None.


Footnote

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://med.amegroups.com/article/view/10.21037/med-24-ab052/coif). M.M. serves as an unpaid Associate Editor-in-Chief of Mediastinum from February 2024 to December 2025.The other authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The studies were conducted in accordance with the Declaration of Helsinki (as revised in 2013) and were approved by the ethics board (28.5.2013 No. 383 and 20.6.2013 No. 447). Individual consent was obtained for prospective biobanking. The BBIRE was approved by our institutional of Deliberazione N. 1360 DEL 30/12/2021 [review for ISO 9001:2015 update of the Biobank-IRE (BBIRE) Quality and Regulation Manual referred to in IFO resolution No. 431 of 13 June 2017].

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


doi: 10.21037/med-24-ab052
Cite this abstract as: di Martino S, Gallo E, Mandoj C, Accetta C, Brindusa AMA, Pallocca M, Laquintana V, Cigliana G, Visca P, Pescarmona E, Marino M. AB052. Rare tumors biobanking and artificial intelligence (AI): complexity and synergism. Mediastinum 2024;8:AB052.

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