Literature DB >> 31385069

Performance of Finnish biobanks in nationwide pulmonary carcinoid tumour research.

Tiina Vesterinen1,2, Kaisa Salmenkivi3, Harri Mustonen4, Teijo Kuopio5,6, Elisa Lappi-Blanco7, Timo Paavonen8, Paula Vainio9, Aija Knuuttila10, Olli Carpén3,11, Caj Haglund4,12, Johanna Arola3.   

Abstract

Finnish hospital-integrated biobanks administer millions of formalin-fixed paraffin-embedded tissue samples collected within the clinical diagnostics. According to the Finnish Biobank Act, these samples can be coupled with patients' clinical follow-up data and the data retrieved from national health registries. We collected a nationwide pulmonary carcinoid tumour series from Finnish biobanks to study prognostic factors as well as to explore how the number of tumours found in the Finnish biobanks corresponds to the number of tumours registered by the Finnish Cancer Registry (FCR). Finnish biobanks identified 88% of the tumours registered by the FCR and were able to deliver 63%. The main reasons for lacking samples were paucity of resected primary tumour tissue, incompatible primary diagnosis, and the absence of tissue blocks in the archives. The main bottleneck in the sample application process was retrieving patient data. Altogether, we received 224 tumour samples with appropriate patient data and identified six prognostic factors for shorter disease-specific survival: age over 56 years at the time of diagnosis, tumour size over 2.5 cm, atypical histology, Ki-67 proliferation index higher than 2.5%, hilar/mediastinal lymph node involvement at the time of diagnosis, and the presence of metastatic disease. In conclusion, the Finnish biobank infrastructure offers excellent opportunities for tissue-based research. However, to be able to develop the biobank operations further, involving more medical knowledge in the sample and data acquisition process is a necessity. Also, when working with tissue samples collected over decades, histological expertise is essential for re-evaluation and re-classification of the samples.

Entities:  

Keywords:  Biobank; Prognosis; Pulmonary carcinoid; Rare cancer

Year:  2019        PMID: 31385069     DOI: 10.1007/s00428-019-02625-6

Source DB:  PubMed          Journal:  Virchows Arch        ISSN: 0945-6317            Impact factor:   4.064


  3 in total

1.  Automated assessment of Ki-67 proliferation index in neuroendocrine tumors by deep learning.

Authors:  Tiina Vesterinen; Jenni Säilä; Sami Blom; Mirkka Pennanen; Helena Leijon; Johanna Arola
Journal:  APMIS       Date:  2021-11-22       Impact factor: 3.428

2.  The Dutch National TissueArchive Portal enables efficient, consistent, and transparent procurement of diagnostic tissue samples for scientific use.

Authors:  Robin Verjans; Annette H Bruggink; Robby Kibbelaar; Jos Bart; Aletta Debernardi; Tieneke B M Schaaij-Visser; Stefan M Willems; Folkert J Van Kemenade
Journal:  Cell Tissue Bank       Date:  2021-08-25       Impact factor: 1.522

3.  Integrating data from multiple Finnish biobanks and national health-care registers for retrospective studies: Practical experiences.

Authors:  Jaakko Lähteenmäki; Anna-Leena Vuorinen; Juha Pajula; Kari Harno; Mika Lehto; Mikko Niemi; Mark Van Gils
Journal:  Scand J Public Health       Date:  2021-04-12       Impact factor: 3.199

  3 in total

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