Literature DB >> 30191362

A population based pediatric oncology registry in Southern Sweden: the BORISS registry.

Thomas Wiebe1, Lars Hjorth1,2, Mercedes Marotta Kelly3, Helena M Linge4, Stanislaw Garwicz1.   

Abstract

A population based registry, with the acronym BORISS, was established. It contains all individuals (0-18 years of age at diagnosis) diagnosed with cancer from 1970-01-01 until 2016-12-31 in Southern Sweden. The treatment data has been entered into the registry after confirmation of the diagnosis by the Swedish national cancer registry and updates on vital status from the Swedish population registry. The number of individuals with a pediatric cancer diagnosed during these 46 years are 2928. Of these, 2065 are currently alive and 1882 individuals are 5-year survivors. Data on treatment and malignancy of the 5-year survivors has been collected from medical records and entered into the database. Treatment data contains surgical procedure, target organ of radiation therapy including dose and fractionation, and cytostatic treatment with dose (mg) per body surface area (m2) for all cytostatic agents. Data on individuals receiving stem cell treatment is included. The database is unique in that it is population based, contains all individuals and detailed treatment data on all 5-year survivors after childhood cancer in Southern Sweden since 1970. The database has contributed to several academic theses in the field of late effects after childhood cancer. BORISS also supports the Late Effect Clinic at Skåne University Hospital in Lund, Sweden with treatment details enabling a stratified surveillance.

Entities:  

Keywords:  Childhood cancer survivorship; Population based; Registry; Sweden

Mesh:

Year:  2018        PMID: 30191362      PMCID: PMC6208984          DOI: 10.1007/s10654-018-0437-1

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


Introduction

Survival after childhood cancer has increased dramatically over the last 45 years. Survival past 5 years after diagnosis now averages 80% in high income countries [1]. Sweden has approximately 350 new annual cancer cases diagnosed up to 18 years of age and approximately 9000 adult long-term childhood cancer survivors (CCS). The number of CCS for Europe is estimated to be 300–500,000, and the number increases by 12,500 each year. An estimated 65% of these individuals have moderate to severe long term effects of their childhood cancer and the treatment [2]. Late effects after childhood cancer treatment is a growing field in both pediatric and adult medicine and several large research initiatives have been taken in recent years [3]. The late effects clinic at Skåne University Hospital dates back to 1987, when it became clinically apparent that cured childhood cancer patients would require long-term follow up. The clinic, a collaboration between the pediatric and adult oncology units, bases its recommendations on national guidelines and details of the primary disease. The collection of details of each individual treatment history became necessary in order to perform adequate surveillance. The collection of such information resulted in the population based BORISS registry.

Methods

Ethical approvals

Approval to gather data was sought and received from the central review board within the Council of Skåne. The permit also covered data gathering from patients living in the adjacent councils Blekinge, Kronoberg and Southern Halland. These three councils together with Council of Skåne constitutes Southern Sweden with a population of approximately 1.8 million inhabitants. In agreement with the laws governing quality registries, information was collected to monitor and enhance the quality of care provided at Skåne University Hospital. The law does not impose a requirement on any consent from the individual. At the time of diagnosis, the parents of the patients were informed and presented with the possibility of opting out from several quality registries.

Data collection

All individuals in Southern Sweden with a cancer diagnosis occurring between the ages of 0–18 years of age from 1970–01–01 -2016–12–31 were identified in the national cancer registry. The starting point of enrollment of patients into the registry was chosen due to the low survival rates of childhood cancer before 1970. Since its start in 1958, Swedish law mandates that all cancer cases be reported to the national registry which registers all cancer diagnoses (primary and subsequent) but not details on treatment. The vital status and personal details of the childhood cancer patients were retrieved from the Swedish population registry. Together this data formed the basis for the manual data collection of treatment history and details of the primary malignancy found in the medical records of each individual. In order for the treatment data to be collected and entered into BORISS, the medical records were manually gathered from the archives of the children’s clinic in Lund. Records were also found in the departments of Neurosurgery, Pediatric surgery, Medicine, Oncology and Pathology in Lund and in other hospitals in Southern Sweden. The diagnosis of a malignancy was verified by an experienced pediatric oncologist (TW), by assessment of the pathology report. The diagnosis of malignancy is coded according to ICD-7, ICD-9, C24, ICD-O version 3 and ICD-10. The registry contains 219 different histological diagnoses, divided in 12 categories according to ICCC. Details of chemotherapy were extracted from prescription documents and later on from separate chemotherapy records. The dates and administration routes of all chemotherapy was recorded. All cytostatic agents (conventional drugs and more recently introduced drugs e.g. tyrosine kinase inhibitors, protein kinase inhibitors and antibodies) were recorded. The chemotherapy drugs (n = 91) are coded by a 3-digit number. Cumulative doses of each drug (mg/m2 body surface area) were calculated. From the Radiation clinic, details of target organ(s), total irradiation dose (Gy) and fractionation was gathered. The target organ which received radiation therapy is coded by a 3-digit number and the target list covers 150 targets. When surgery was performed, details of the procedure, microscopic surgical margins, removal of organ(s) or an extremity, if any, were recorded. For stem cell treatment, details of conditioning therapy (with chemotherapy and/or total body irradiation), and dates of the procedure were recorded. All entered data was cross-checked by two separate individuals. The registry contains personal data, diagnosis (in plain text and in code; ICD-7, ICD-9, C24, ICD-10 and ICD-0 version 3), and date of diagnosis. Phenotypic and cytogenetic data for leukemia, as well as cytogenetic aberrations with regards to solid tumors were gathered from medical records. Where available, data was recorded on other serious diseases, previous treatments, constitutional chromosomal aberrations, and other possible immunosuppressive treatments (pre-dating the cancer diagnosis), as was heredity for malignancies, and data on relapses. By annual updating of the database from the national cancer registry and the population registry, the development of secondary and subsequent primary neoplasms and vital status, are obtained. Prospective collection of treatment data is carried out from 2016–01–01 and onwards under the governance of the Council of Skåne.

Data access

Before any data can be accessed for research purposes, an approved ethical permit from the Regional Ethical review board, as well as a permission from the Council of Skåne must be obtained. Data can be made available through collaboration with researchers affiliated with Skåne University Hospital or Lund university based on their knowledge of the data, its collection, purpose, and limitations. The cross-border sharing of personal data is under review due to the General Data Protection Regulation all inquiries must take into account the developments in interpretation of the new regulation. Treatment details are available to the late effects clinic in Lund as part of regular follow-up health care.

Technical aspects

The database was originally built as a Microsoft Access database with 2 parts: an application for data entry and a separate database for data storage. Controls of data entries were put in place for quality assurance of individual fields and to maintain coherence between different fields. The database storage was placed on a central server with restricted access. The database was modernized to an SQL database in 2017, and a new web based registration form was constructed preserving the original structure. An activity log was added to keep track of registration activities. The data is secured based on user membership in active directory user groups.

Results

The population-based BORISS registry contains all individuals with a first primary neoplasm diagnosed between 1970–01–01 and 2016–12–31 being 0–18 years of age at diagnosis, in total 2928 individuals. It contains complete treatment data on 2065 currently living individuals out of which 1882 individuals who are 5-year survivors. The oldest living person whose data is registered was born in 1953. The distribution of diagnoses according to ICCC [4], among the 5-year survivors (n = 1882) and the gender distribution is shown in Table 1. Descriptive data of the distribution of the survivors’ ages (0–65 years of age) and time since diagnosis (5–47 years) is shown in Table 2. Table 2 also shows the number of individuals which have received different treatment modalities.
Table 1

Number of 5-year survivors according to diagnostic group

Diagnostic groupICD-105 year survivors (n =)
TotalFemale
1882855
Group I Leukaemias
Ia Acute lymphoidC91.0, C91.7329144
 Pre-B243111
 B cell80
 T-cell305
 Non-specified4828
Ib Acute myeloidC92.0, C92.3, C92.4, C92.5, C92.9, C93.0, C93.7, C94.0, C94.25532
Ic Chronic myeloidC92.155
Group II Lymphomas
IIa Hodgkin lymphomasC81.0–C81.911046
IIb Non-Hodgkin lymphomasC83.0–C83.9,C84.5, C85.8, C86.6except C83.7 (Burkitt)4314
IIc Burkitt lymphomasC83.7357
IId Lymphoreticular neoplasms. Langerhans cellhistiocytosC96.04217
Group III Central nervous system 492213
IntracranialC71.0–C71.9272125
IntraspinalC72.0–C72.96422
MeningeasC70.0–C70.12712
Opticus gliomasC72.3338
Acusticus gliomasC72.485
Hypophyseal adenomasC75.13523
Hypophyseal craniopharyngeomasC75.23413
Corpus pineal neoplasmsC75.3195
Group IV Neuroblastoma 7631
Neuroblastoma in sympathetic nervous ganglionC47.0–C47.95424
Neuroblastom in adrenal medullaC74.1227
Sarcomas of peripheral nervesC47.0–C47.92111
Group V Retinoblastoma C69.24121
Group VI Renal tumoursC64.99251
Wilms’ tumourC64.98346
Other renal tumoursC64.995
Group VII Hepatic tumoursC22.2116
HepatoblastomaC22.2116
Group VIII Malignant bone tumours9444
VIIIa OsteosarcomasC40.0–C40.9 C41.0–C41.93417
VIIIb ChondrosarcomasC40.0–C40.9 C41.0–C41.931
VIIIc Ewing sarcomas (bone and soft tissue)C40.0–C40.9 C41.0–C41.9 C49.0–C49.93317
VIIId Other malignant bone tumoursC40.0–C40.9 C41.0–C41.9249
Group IX Soft tissue sarcomas C49.0–C49.914758
RhabdomyosarcomasEmbryonal279
Alveolar74
Non-specified22
Other soft tissue sarcomas11143
Group X Germ cell tumours 7333
Xa Intracranial and intraspinal germ cell tumoursIncluded in group III
Xb Germ cell tumours (not intracranial, intraspinal, ovary nor testis)C49.0–C49.92415
Xc Malignant germ cell tumours
In testisC62.0–C62.9310
In ovaryC56.91818
Group XI Other malignant epithelial neoplasms and malignant melanomas 10368
XIa Adrenal cortical carcinomaC74.031
XIb Thyroid carcinomasC73.95241
XIc Nasopharyngeal carcinomasC11.941
XId Malignant melanomasC43.0–C43.94425
XI e–fIncluded in Group XII
Group XII Other malignant neoplasms 9654
Table 2

Distribution of all survivors according to age groups, time since diagnosis, and number of individuals according to treatment modality

Distributions all survivorsTotal (female)
2 065 (968)
Age Groups (total n =)
0–14334
15–19248
20–40960
40–65523
Years since diagnosis (total n =)
5–9338
10–14292
15–19253
20–24238
25–29206
30–34196
35–39198
40–44102
45–4759
5–47 years since diagnosis Sum: 1 882
Not yet 5-year survivors. Sum: 183
Treatment modality Total number (female)
Surgery (including biopsies)1441 (675)
Radiotherapy594 (263)
Chemotherapy1049 (475)
Stem cell transplantation94 (42)
 Autologous39 (16)
 Allogenic55 (25)
Monoclonal Antibodies(Mabthera, Avastin, Cetuximab, Gemtuzumab)12 (5)
Tyrosine kinase inhibitors (Erlotinib, Imatinib, Dasatinib, Nilotinib)11 (6)
Number of 5-year survivors according to diagnostic group Distribution of all survivors according to age groups, time since diagnosis, and number of individuals according to treatment modality

Discussion

Southern Sweden has had an active presence in pediatric oncology since the late 1960s. Retrospective collection of data from childhood cancer patients for this study was time consuming, especially for the early decades where procurement of the paper charts was necessary. A single chart could take up to 8 h to extract data from. The chemotherapy records remained as paper documents until recently when digitalization became a step forward. The work was facilitated by well-organized staff at the regional archives, where the medical charts are stored. The BORISS registry has already contributed to several academic theses at Lund University, Sweden [5-8]. BORISS also supports the late effects clinic at Skåne University Hospital in Lund, Sweden with treatment details enabling a stratified surveillance. In comparison to other cohorts, BORISS covers a region (rather than a country) with the advantage of being population-based building on the by-law-mandated national cancer registry (all cancers). On a national level, a registry with a focus on treatment data and long-term follow-up was started in 2012 but to date it contains only 1/3 of eligible patients with coverage starting only in the 1980s. At the international level several initiatives aim at providing childhood cancer survivors with adequate and appropriate long-term medical follow-up. The EU-funded project PanCareSurFup (2011–2017) established a large cohort (n = 115,000) of childhood cancer survivors with almost 84,000 five-year survivors [9]. On a subset of these, treatment data was collected from historic medical charts with the focus of examining cardiotoxicity, late mortality and second primary neoplasms. The individuals were identified by outcome and then traced back to historical records. In Scandinavia, a large project, Adult Life after Childhood Cancer in Scandinavia (ALiCCS) is also aimed at examining late effects in childhood cancer survivors [10]. The focus areas include diabetes mellitus, cardiopulmonary disorders, endocrine disorders and renal and gastrointestinal disorders, and as in the other recent initiatives the treatment data has had to be collected retrospectively on a patient-by-patient basis. The data collection phase (2010–2015) is finished and analyses are ongoing. The outcome groups will be compared to a statistically selected sub-cohort representing the entire population of CCS in the Nordic countries. In the US, there are several cohorts of long term survivors after childhood cancer [2, 11]. These cohorts have contributed with valuable knowledge to the late effects field but the findings may be limited in impact as they are not population based. They can hence only suggest the true number of individuals to be expected to be affected by late effects.

Limitations and future prospects

The number of individuals with rare cancer diagnoses in BORISS will, as expected, be small. Specific consideration should be given when conducting studies, in order not to over-interpret any findings. Other potential limitations of the data in BORISS include the quality of the information in the medical records, in particular family medical history. Complications of treatments e.g. graft-versus-host disease, surgical complications, number of placements of central administration route devices, and details of blood transfusions are not included. Non-typical childhood cancers like malignant melanoma and thyroid cancers were included in the database whereas cervical dysplasias and mola hydatiformis were excluded. The BORISS registry was formed as a quality registry and this, together with data retrieval from the by-law mandated entry into the national cancer registry, is the explanation for the complete coverage rate. The longitudinal BORISS cohort will enable further research within various fields in pediatric and adult medicine. Ongoing studies aim to determine details of cardiomyopathy and cognitive effects after childhood cancer treatment. By use of artificial intelligence, an ongoing study aims to determine previously unknown associations between treatment history and outcomes.

Concluding remarks

Motivated by the clinical need to readily be able to access the primary treatment data, and the vision of facilitating research of the underlying causes of late effects, the collection of data resulted in a population based registry in Southern Sweden. Key factors in establishing the registry were: the use of personal identification numbers in Sweden, the by law mandated entry of cancer diagnoses into the national cancer registry and the foresight of the pioneers in the field with a long-term dedication to finalize the task.
  7 in total

1.  International Classification of Childhood Cancer, third edition.

Authors:  Eva Steliarova-Foucher; Charles Stiller; Brigitte Lacour; Peter Kaatsch
Journal:  Cancer       Date:  2005-04-01       Impact factor: 6.860

2.  Childhood cancer survival in Europe 1999-2007: results of EUROCARE-5--a population-based study.

Authors:  Gemma Gatta; Laura Botta; Silvia Rossi; Tiiu Aareleid; Magdalena Bielska-Lasota; Jacqueline Clavel; Nadya Dimitrova; Zsuzsanna Jakab; Peter Kaatsch; Brigitte Lacour; Sandra Mallone; Rafael Marcos-Gragera; Pamela Minicozzi; Maria-José Sánchez-Pérez; Milena Sant; Mariano Santaquilani; Charles Stiller; Andrea Tavilla; Annalisa Trama; Otto Visser; Rafael Peris-Bonet
Journal:  Lancet Oncol       Date:  2013-12-05       Impact factor: 41.316

3.  The Adult Life After Childhood Cancer in Scandinavia (ALiCCS) Study: Design and Characteristics.

Authors:  Peter H Asdahl; Jeanette F Winther; Trine G Bonnesen; Sofie De Fine Licht; Thorgerdur Gudmundsdottir; Harald Anderson; Laura Madanat-Harjuoja; Laufey Tryggvadottir; Milada Cvancarova Småstuen; Anna Sällfors Holmqvist; Henrik Hasle; Jørgen H Olsen
Journal:  Pediatr Blood Cancer       Date:  2015-07-20       Impact factor: 3.167

Review 4.  Children's Oncology Group's 2013 blueprint for research: survivorship and outcomes.

Authors:  Saro H Armenian; Wendy Landier; Melissa M Hudson; Leslie L Robison; Smita Bhatia
Journal:  Pediatr Blood Cancer       Date:  2012-12-19       Impact factor: 3.167

5.  Survivorship after childhood cancer: PanCare: a European Network to promote optimal long-term care.

Authors:  Lars Hjorth; Riccardo Haupt; Roderick Skinner; Desiree Grabow; Julianne Byrne; Sabine Karner; Gill Levitt; Gisela Michel; Helena van der Pal; Edit Bárdi; Jörn D Beck; Florent de Vathaire; Stefan Essig; Eva Frey; Stanislaw Garwicz; Mike Hawkins; Zsuzsanna Jakab; Momcilo Jankovic; Bernarda Kazanowska; Tomas Kepak; Leontien Kremer; Herwig Lackner; Elaine Sugden; Monica Terenziani; Lorna Zadravec Zaletel; Peter Kaatsch
Journal:  Eur J Cancer       Date:  2015-05-06       Impact factor: 9.162

6.  Chronic health conditions in adult survivors of childhood cancer.

Authors:  Kevin C Oeffinger; Ann C Mertens; Charles A Sklar; Toana Kawashima; Melissa M Hudson; Anna T Meadows; Debra L Friedman; Neyssa Marina; Wendy Hobbie; Nina S Kadan-Lottick; Cindy L Schwartz; Wendy Leisenring; Leslie L Robison
Journal:  N Engl J Med       Date:  2006-10-12       Impact factor: 176.079

7.  The PanCareSurFup cohort of 83,333 five-year survivors of childhood cancer: a cohort from 12 European countries.

Authors:  Desiree Grabow; Melanie Kaiser; Lars Hjorth; Julianne Byrne; Daniela Alessi; Rodrigue S Allodji; Francesca Bagnasco; Edit Bárdi; Andrea Bautz; Chloe J Bright; Florent de Vathaire; Elizabeth A M Feijen; Stanislaw Garwicz; Oskar Hagberg; Riccardo Haupt; Mike M Hawkins; Zsuzsanna Jakab; Leontien C M Kremer; Claudia E Kuehni; Rahel Kuonen; Päivi Maria Lähteenmäki; Raoul C Reulen; Cécile M Ronckers; Carlotta Sacerdote; Giao Vu-Bezin; Finn Wesenberg; Thomas Wiebe; David L Winter; Jeanette Falck Winther; Lorna Zadravec Zaletel; Peter Kaatsch
Journal:  Eur J Epidemiol       Date:  2018-03-02       Impact factor: 8.082

  7 in total
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1.  Identifying causal relationships of cancer treatment and long-term health effects among 5-year survivors of childhood cancer in Southern Sweden.

Authors:  Anders Holst; Jan Ekman; Magnus Petersson-Ahrholt; Thomas Relander; Thomas Wiebe; Helena M Linge
Journal:  Commun Med (Lond)       Date:  2022-03-02

2.  Development and Implementation of Survivorship Tools to Enable Medical Follow-Up After Childhood Cancer Treatment in Southern Sweden.

Authors:  Magnus Petersson-Ahrholt; Thomas Wiebe; Lars Hjorth; Thomas Relander; Helena M Linge
Journal:  JCO Clin Cancer Inform       Date:  2019-06

3.  Objectives, design and main findings until 2020 from the Rotterdam Study.

Authors:  M Arfan Ikram; Guy Brusselle; Mohsen Ghanbari; André Goedegebure; M Kamran Ikram; Maryam Kavousi; Brenda C T Kieboom; Caroline C W Klaver; Robert J de Knegt; Annemarie I Luik; Tamar E C Nijsten; Robin P Peeters; Frank J A van Rooij; Bruno H Stricker; André G Uitterlinden; Meike W Vernooij; Trudy Voortman
Journal:  Eur J Epidemiol       Date:  2020-05-04       Impact factor: 8.082

4.  Mixed methods assessment of impact on health awareness in adult childhood cancer survivors after viewing their personalized digital treatment summary and follow-up recommendations.

Authors:  Helena M Linge; Cecilia Follin
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5.  Characterization of Cardiac, Vascular, and Metabolic Changes in Young Childhood Cancer Survivors.

Authors:  Olof Broberg; Ingrid Øra; Thomas Wiebe; Constance G Weismann; Petru Liuba
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  5 in total

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