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Keywords:

  • cancer;
  • childhood;
  • adolescent;
  • incidence;
  • population-based cancer registry

Abstract

  1. Top of page
  2. Abstract
  3. Material Methods
  4. Results
  5. Discussion
  6. Acknowledgements
  7. References

The Brazilian Population-Based Cancer Registry (PBCR) was started in 1967; today there are 20 PBCRs in Brazil. We report the first descriptive analysis of the incidence of childhood cancer based on data from 14 PBCRs, corresponding to 15% of the child and adolescent population in Brazil. Data were obtained from registry databases, including information on population coverage and data quality indicators. The International Classification of Childhood Cancer was used. Age-adjusted rates were calculated by world population. Incidence by cancer registry, age, sex, and cancer type were calculated per 1,000,000 children. Age-adjusted rates per 1,000,000 children/adolescents ranged from 92 to 220 among the 14 PBCRs. The principal groups of cancers were leukemia, lymphoma and central nervous tumors. The median incidence rate of childhood cancer in the 14 PBCRs was 154.3 per million; children 1–4 years of age had the highest incidence rates. The Brazilian PBCRs provide important information about pediatric cancer incidence in an emerging country. The observed incidence rates of childhood leukemia were similar to previous reported rates, and the age-specific incidence rates of retinoblastoma (0–4 years of age) were higher than those for developed countries. These data can be used as baseline incidence rates of childhood and adolescent cancer in Brazil in future epidemiological studies.

Worldwide cancer incidence in children varies from 100 to 180 per million children under 15 years of age and 210.42 per million in the group of adolescents between 15 and 19 years-old. There are considerable variations in occurrence of different types of cancer according to lower and higher income countries around the world.1–4

In poor resource countries, incidence data for pediatric cancer are not well-documented, due in part to the lack of infrastructure on which cancer registries are built. As the largest country in South America, Brazil is composed of 5 geographical macro regions (North, Northeast, Central-West, Southeast, and South), with population density, climate, and socioeconomic inequalities, making the establishment of cancer registries a challenge. At the end of the 1960s, PBCRs appeared in Brazil as result of isolated initiatives. Some PBCRs have successfully documented the incidence of childhood cancer within a limited geographic area of Brazil since 1967.2, 5 Since the 1980s, the Instituto Nacional de Câncer has promoted the establishment of cancer registries in distinct cities of Brazil, and there are now 20 PBCRs distributed in major cities of all regions of Brazil (www.inca.gov.br/cgi/sisbasepop.asp). In order to disseminate the information gained from these efforts, we analyzed the incidence childhood cancers according to the data contained in 14 PBCRs, using quality criteria that allow us to report descriptive epidemiological data for Brazil.

Material Methods

  1. Top of page
  2. Abstract
  3. Material Methods
  4. Results
  5. Discussion
  6. Acknowledgements
  7. References

Data sources

Data were extracted from the databases of 20 PBCRs located in 17 Brazilian capital cities, the Federal District, and 2 non-capital cities (Campinas and Jaú in São Paulo state). The period and population coverage for each PBCR are displayed in Figure 1. Information contained in the registries for each patient included patient name, patient's mother's name, date of birth, diagnosis, sex, full residence address, histopathology, basis of diagnosis, and site of tumor. The underlying population-at-risk for each region was obtained from the Instituto Brasileiro de Geografia e Estatística (http://www.ibge.gov.br/home).

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Figure 1. Illustration of the location of 14 Brazilian Population-Based Cancer registry.

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Case definition

Cases with confirmed diagnosis of cancer were collected and assigned a morphology and topography code as per the International Classifications of Disease for Oncology (ICD-02), except for Campinas' PBCR, which used the ICD-01 during 1991–1993.6 The different types of cancer were then grouped into 12 major diagnostic groups according to the International Classification of Childhood Cancer (ICCC). Benign tumors were excluded except for those of the central nervous system and miscellaneous intracranial and intraspinal neoplasm (ICCC group III), as per international recommendations.7 The International Agency for Research in Cancer (IARC) parameters regarding quality data are proportion of cases diagnosed with microscopic verification greater than 70% and diagnosis performed only via death certificate less than 20%.

Data from all PBCRs included were reviewed from data entry to selection of eligible cases according to a consistency checklist. The variables evaluated were compatibility between anatomical site and sex, anatomical site and morphology, morphology and extension of the disease, date of birth and date of diagnosis, tumor site and age, morphology and age, date of death (if it had occurred), date of birth, and date of diagnosis.

To avoid mismatch between cases and population at risk a double check were performed by automated record linkage, comparing cases ascertainment according to home address included only covered area, mothers' names and child's date of birth, gender and disease characteristics. Then a second data check was performed manually.

Statistical methods

Age-adjusted incidence rates (AAIR) were estimated by the direct method using the world population proposed for age groups less than 20 years.8 The incidence rate per 1,000,000 inhabitants refers to the risk of new cases. For all 14 PBCRs included, analyses included the number of new cases, the absolute and relative values, age-adjusted incidence rates (AAIR) and AAIRs according to tumor type, sex, and age range. Age range was stratified into five groups: younger than 1 year of age; 1–4 years of age; 5–9 years of age; 10–14 years of age, and 15–19 years of age.

Results

  1. Top of page
  2. Abstract
  3. Material Methods
  4. Results
  5. Discussion
  6. Acknowledgements
  7. References

Six PBCRs were excluded from the analysis. Three did not meet the standards criteria recognized by the IARC (Belém, Palmas, and Cuiabá) and, 3 PCBRs because the data covered less than 3 years (Vitória, Belo Horizonte, and Campo Grande). The median incidence rate of childhood cancer in the 14 PBCRs was 154.3 per million; children 1–4 years of age had the highest incidence rate.

For children younger than 1 year of age, the highest rate was seen in Campinas with AAIR of 223.5 per million. Among adolescents 15–19 years of age, the highest rates were in São Paulo (264 per million), Goiânia (251 per million), and Porto Alegre (229 per million). Children 1–4 years of age had the highest rates in the majority of PBCRs (Table 1). As shown in Table 1, in all PBCRs except in Fortaleza and Jaú, the AAIR of childhood cancer was slightly higher in males (M) than females (F), with an M/F ratio of 0.81–1.37.The AAIRs of all pediatric cancers for both genders varied from 92 per million (Salvador, Bahia) to 231 (Goiania, Goiás) per million.

Table 1. Incidence of cancers in children and adolescents according to age and gender
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Overall, the most common cancer types were leukemia (18–41%), lymphoma (13–24%), and central nervous system (CNS) tumors (7–17%). The highest AAIRs of leukemia were seen in Goiania (67.5 per million), Manaus (67 per million), and Curitiba (64 per million), whereas, the lowest AAIRs were seen in Salvador (21 per million) and Aracaju (27 per million). The highest AAIRs for lymphomas were in Jaú (39 per million), followed by Goiânia (34 per million; Table 2). CNS tumors were more common in Porto Alegre and Goiania (32 per million). CNS tumors were the third most common tumor in all PBCRs except those in Porto Alegre, Campinas and Aracaju. Retinoblastoma had a relatively high incidence in almost all registries. The AAIRs of retinoblastoma varied from 2.4 in Distrito Federal to 9.8 in Natal. Among children 0-4 years of age, higher AAIRs for retinoblastoma were found in Natal (27.0 per million), Jaú (23.0 per million), Goiania (21.5 per million), São Paulo (21.5 per million), Porto Alegre (19.4 per million), Manaus (15.0 per million), and Salvador (14.6 per million). The AAIRs of bone cancer were highest in São Paulo (18.2 per million), João Pessoa (12.4 per million), and Goiania (16 per million). Among adolescents 15–19 years of age, the AAIR in São Paulo was 35.5 per million (data not shown).

Table 2. Incidence rates of cancer in children and adolescents (≤19 years) in 14 PBCR in brazil according to ICCC-3 groups
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Among all 14 PBCRs, there were 11 cases of adrenocortical carcinoma (ACT) (five in São Paulo, three in Curitiba, two in Campinas, and one in Manaus), with AAIRs ranging from 0.34 in São Paulo to 1.57 in Campinas.

Discussion

  1. Top of page
  2. Abstract
  3. Material Methods
  4. Results
  5. Discussion
  6. Acknowledgements
  7. References

This report is the first descriptive analysis of PBCR data on childhood cancer in Brazil, covering 15% of Brazil's child and adolescent population. Children and adolescents make up 38% of the entire population of Brazil, and the North and Central-West regions have the highest population growth rates. The successful institution of multiple PCBRs in different regions of Brazil demonstrates the feasibility of establishing these types of registries in other countries subject to various cultural and socioeconomic constraints. Cancer registries in developing countries are vulnerable to several common technical problems that could jeopardize the quality of the data collected. However, since 1990, support provided by the Brazilian government has allowed for the implementation of quality control procedures and staff training and has increased number of PBCRs providing crucial information about the cancer burden in Brazil. Comparing the present data analysis with previous rather scanty publications on childhood cancer in Brazil,2 more information's were added representing registries across most regions of the country. For instances, the increase of incidence in Goiania (120 to 226.2 per million)2 in the age range 0–14 years old were clearly observed herein. One of the possible explanations for such differences within the Brazilian population could be the recent improvement of access to health care and modern diagnostic procedures. Well-established cooperative groups with ongoing protocol for treatments of acute leukemia, Wilms' tumor, retinoblastoma, osteossarcoma and other rare tumors have potential impact on the recognition of such diseases.9, 10

Data from 39 National Program of Cancer Registries and five Surveillance, Epidemiology, and End Results (SEER) registries, representing more than 90% of the United States population, reported an AAIR of 151 per million for children 0–14 years of age and 210 per million for adolescents 15–19 years of age.1 In Eastern Europe, the AAIR of childhood cancer was slightly higher than that in the Western European countries (143 per million vs. 140 per million), but among adolescents, the AAIR was slightly lower in the east than in the west (166 per million vs.198 per million).4

In Brazil, the highest AAIRs were seen in Goiânia and São Paulo and the lowest were seen in Salvador, Fortaleza, and Campinas. Leukemia, lymphoma, and CNS tumors were the most frequent malignancies in all registries. Despite the small number of cases and the short data collection period, the PBCR in Jaú reported a very high incidence of childhood leukemia (52 per million) and lymphoma (41 per million), suggesting the influence of some region-specific environmental factor. Shoe manufacturing is the main economic activity in Jaú. Although previous reports have suggested that shoemaker occupation is associated with leukemia in adults the association with childhood and adolescent remain to be elucidated.11 Certainly, the data reported herein underscore the need for further epidemiological studies in this regard.

In some of the Brazilian PBCRs, CNS tumors were the second most common childhood tumor. This observed increase in incidence could be due to increased access to better imaging facilities. Indeed, since the late 1990s there has been an increasing demand for brain computer tomography studies (www.datasus.gov.br).

Previously reported data from the São Paulo PBCR showed elevated incidence rates of osteosarcoma and Wilms tumors in that region, and according to our analysis, these rates remain high.12, 13 Interestingly, data from this current analysis indicate that Goiania had an even higher incidence of Wilms tumors than did São Paulo.

There are considerable worldwide variations in the incidence of retinoblastoma. In the United States and Europe, the incidence rate in children 0–14 years of age is 4.0 per million; among children age 0–4 years of age, the incidence rate is 10–12 cases per million.14, 15 Higher incidence rates have been reported for other developing areas such as Malawi, Africa, and Colombia.2, 16, 17 In Chiapas, Mexico, the incidence of retinoblastoma has been reported as high as 21 per million.18 In seven of the 14 Brazilian PBCRs, the AAIR of retinoblastoma for children 0–4 years of age was greater than 11 cases per million (range: 15 in Salvador to 27 in Natal).

In general, childhood carcinomas are rare, with an incidence rate less than one per million. The incidence rate of adrenocortical carcinoma (ACT) in São Paulo was 1.5 per million, more than three times the rate in most registries.19 Almost all cases of ACT registered were diagnosed in the Southern cities. This data corroborate with previous report.20

The incidence, prevalence, mortality, and survival rates for the various cancers are important indicators of the quality of the healthcare system. Thus, data from the PBCR initiative provide important benchmarks for pediatric oncology care in Brazil. The data reported herein provide baseline incidence rates of childhood and adolescent cancer for use in future epidemiological studies.

Acknowledgements

  1. Top of page
  2. Abstract
  3. Material Methods
  4. Results
  5. Discussion
  6. Acknowledgements
  7. References

The authors are grateful to all of the coordinators of the PBCRs in Brazil that contributed to this work, including Carlos Anselmo Lima (PBCR- Aracaju); Lucrécia A. Cabral Formigosa (PBCR-Belém); Berenice N. Antoniazzi (PBCR-Belo Horizonte); Djalma de Carvalho Moreira Filho and Nazira Mahayri (PBCR-Campinas); Carmencita S. Lang (PBCR-Campo Grande); Maria Ilma Castilho (PBCR-Cuiabá); Cyntia Asturian Laporte (PBCR-Curitiba); Maria Cristina Scandiuzzi (PBCR-Distrito Federal; Miren Maite Uribe Arregi (PBCR-Fortaleza); José Carlos de Oliveira (PBCR-Goiânia); José Getúlio Martins Segalla (PBCR-Jaú); Josefa A. P. de Aquino (PBCR-João Pessoa); Anasselis Veiga de Lima (PBCR-Manaus); Maria Suely Lopes Correa (PBCR-Natal); Viviane Lilia Araújo Ribeiro (PBCR-TO); Paulo Recena Grassi (PBCR-Porto Alegre); Cláudia C. Lima de Castro (PBCR-Recife); Elmando Sampaio Silva (PBCR-Salvador); Fernanda Alessandra Silva (PBCR-São Paulo), and Jeane Soares de Aguiar (PBCR-Vitória). We also thank Renato Melaragno from the Brazilian Society of Pediatric Oncology, Carlos Felipe, Pereira Felipe, Juliana Moreira de Oliveira Ferreira, Julio Fernando Pinto Oliveira, and Rute José Casado de Lima for helpful contributions to data analysis.

References

  1. Top of page
  2. Abstract
  3. Material Methods
  4. Results
  5. Discussion
  6. Acknowledgements
  7. References
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