The OncoLifeS data-biobank for oncology: a comprehensive repository of clinical data, biological samples, and the patient’s perspective

Journal of Translational Medicine

Gertruida H. de Bock¹  Janny Nagel¹  Rene J. Oostergo¹  Grigory Sidorenkov¹  Marcel Nijland²  Coby Meijer³  Jourik A. Gietema³  Maaike H. M. Oonk⁴  Max J. H. Witjes⁵  Gyorgy B. Halmos⁶  Jacko J. Duker⁷  Bert van der Vegt⁷  Harry J. M. Groen⁸  John H. Maduro⁹  Klaas Havenga^1,10 

[1] Department of Epidemiology, University Medical Center Groningen, University of Groningen;Department of Haematology, University Medical Center Groningen, University of Groningen;Department of Medical Oncology, University Medical Center Groningen, University of Groningen;Department of Obstetrics and Gynaecology, University Medical Center Groningen, University of Groningen;Department of Oral and Maxillofacial Surgery, University Medical Center Groningen, University of Groningen;Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Groningen, University of Groningen;Department of Pathology, University Medical Center Groningen, University of Groningen;Department of Pulmonary Diseases, University Medical Center Groningen, University of Groningen;Department of Radiation Oncology, University Medical Center Groningen, University of Groningen;Department of Surgery, University Medical Center Groningen, University of Groningen;

关键词: Neoplasms;    Database;    Biobank;    Quality of life;    Genetics;    Proteins;   

DOI  :  10.1186/s12967-019-2122-x

来源: DOAJ

【 摘 要 】

Abstract Background Understanding cancer heterogeneity, its temporal evolution over time, and the outcomes of guided treatment depend on accurate data collection in a context of routine clinical care. We have developed a hospital-based data-biobank for oncology, entitled OncoLifeS (Oncological Life Study: Living well as a cancer survivor), that links routine clinical data with preserved biological specimens and quality of life assessments. The aim of this study is to describe the organization and development of a data-biobank for cancer research. Results We have enrolled 3704 patients aged ≥ 18 years diagnosed with cancer, of which 45 with hereditary breast-ovarian cancer (70% participation rate) as of October 24th, 2019. The average age is 63.6 ± 14.2 years and 1892 (51.1%) are female. The following data are collected: clinical and treatment details, comorbidities, lifestyle, radiological and pathological findings, and long-term outcomes. We also collect and store various biomaterials of patients as well as information from quality of life assessments. Conclusion Embedding a data-biobank in clinical care can ensure the collection of high-quality data. Moreover, the inclusion of longitudinal quality of life data allows us to incorporate patients’ perspectives and inclusion of imaging data provides an opportunity for analyzing raw imaging data using artificial intelligence (AI) methods, thus adding new dimensions to the collected data.

【 授权许可】

Unknown