Determinants of survival of common childhood cancers in Iran
Aliasghar Keramatinia1, Maryam Mohseny2, Mohammad Esmaeil Akbari3, Alireza Mosavi-Jarrahi4, Esmat Davoudi Monfared5, Farzaneh Amanpour6, Ayad Bahadori Monfared2, Parastoo Amiri7, Maryam Khayamzadeh3, Tahereh Alsadat Khoshbin Khoshnazar8, Hojjat-Allah Abbaszadeh9, Azim Mehrvar10, Zeinab Mazloumi11, Abolfazl Movafagh12
1 Cancer Research Center; Department of Health and Community Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 Department of Health and Community Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3 Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4 Department of Health and Community Medicine, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
5 Department of Community Medicine, Health Management Research Center, Faculty of Medicine, Baqiyatallah University of Medical Sciences, Tehran, Iran
6 Department of Epidemiology and Biostatistics, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran
7 Iranian Research Center on Healthy Aging, Sabzevar University of Medical Scienses, Sabzevar, Iran
8 Cancer Research Center; Department of Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
9 Hearing Disorders Research Center, Loghman Hakim Medical Center; Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
10 Department of Health and Community Medicine, AJA University of Medical Sciences; MAHAK Pediatric Cancer Treatment and Research Center, Tehran, Iran
11 Department of Biology, Zanjan Branch, Islamic Azad University, Zanjan, Iran
12 Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
|Date of Submission||07-Oct-2017|
|Date of Decision||16-May-2018|
|Date of Acceptance||28-Aug-2018|
|Date of Web Publication||28-Nov-2018|
Dr. Abolfazl Movafagh
Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran
Source of Support: None, Conflict of Interest: None
Background: Cancer is the second most common cause of morbidity and mortality in children. This study aimed to epidemiologically and demographically assess common cancers in children in Iran. Materials and Methods: This cohort study was conducted on children registered in Mahak Hospital and Rehabilitation Complex (which is a non-governmental organizations (NGO)-related hospital for only malignant diseases). A total of 2232 questionnaires were filled out for cancer patients between 2007 and 2016. The factors including age, gender, race, family history, type of treatment, and type of cancer were entered into Cox regression model to examine their effect on mortality of children diagnosed with cancer. Results: The Cox regression model showed that age, race, type of cancer, family history of cancer, and type of treatment had a significant effect on mortality of children diagnosed with cancer (P < 0.05). The hazard ratio (HR) of mortality in 10–15 years old was higher than that of 1–5 years old (P = 0.03, HR = 1.3). The HR of mortality in patients with brain tumor (P < 0.01, HR = 2.24), sarcoma (P < 0.01, HR = 2.32), and neuroblastoma (P < 0.01, HR = 2.56) was twice the value in patients with leukemia. The HR of mortality in patients who had a family history of cancer was higher than that of patients without it (P < 0.01, HR = 1.33). Patients who had undergone chemotherapy along with surgery and radiotherapy (P = 0.02, HR = 0.68) and patients who received chemotherapy along with surgery (P = 0.01, HR = 0.67) had a lower HR of mortality compared to the chemotherapy group. Conclusion: Young age, multidisciplinary approach, and absence of family history were associated with lower hazard of death in children diagnosed with cancer; brain tumor, leukemia, and sarcoma had higher hazard of mortality compared to leukemia. Children with a family history of cancer should be under regular follow-up. Treatment should be multidisciplinary and comprehensive.
Keywords: Cancer, childhood, Cox models, epidemiology, survival
|How to cite this article:|
Keramatinia A, Mohseny M, Akbari ME, Mosavi-Jarrahi A, Monfared ED, Amanpour F, Bahadori Monfared A, Amiri P, Khayamzadeh M, Khoshbin Khoshnazar TA, Abbaszadeh HA, Mehrvar A, Mazloumi Z, Movafagh A. Determinants of survival of common childhood cancers in Iran. J Res Med Sci 2018;23:101
|How to cite this URL:|
Keramatinia A, Mohseny M, Akbari ME, Mosavi-Jarrahi A, Monfared ED, Amanpour F, Bahadori Monfared A, Amiri P, Khayamzadeh M, Khoshbin Khoshnazar TA, Abbaszadeh HA, Mehrvar A, Mazloumi Z, Movafagh A. Determinants of survival of common childhood cancers in Iran. J Res Med Sci [serial online] 2018 [cited 2023 Jan 29];23:101. Available from: https://www.jmsjournal.net/text.asp?2018/23/1/101/246325
| Introduction|| |
Cancer is the second most common cause of morbidity and mortality in 1–14 years old.
Leukemia accounts for 30% of childhood cancers followed by brain tumor and other cancers of nervous system (26%), soft-tissue sarcoma (7%), neuroblastoma (6%), non-Hodgkin lymphoma (6%), renal tumors (5%), and Hodgkin lymphoma (3%).
The incidence of cancer in developed countries is higher than that in developing countries (<40/100,000 children). However, in the recent years, the incidence of cancer in developing countries such as Iran has greatly increased, exceeding the rate in developed countries.
In Iran, death due to cancer ranks first in terms of morbidity and mortality of children (14.2%, 23,300 cancer deaths). From 2002 to 2012, 9795 Iranian children were diagnosed with cancer. Cancer in children is considerably different from adult malignancies in terms of type, distribution, and prognosis and follows a unique epidemiological pattern. The 5-year survival in cancer children is higher than that in adults (78% vs. 62%).
Cancer in children better responds to chemotherapy and radiotherapy. However, these treatments can cause long-term complications in children. Thus, children who survive cancer are in need of constant monitoring.
Higher success in the treatment of cancer in children may be attributed, in part, to the biological differences of cancers in adults and children. About 90% of cancers in adults arise from the epithelial tissue. In contrast, cancers in children often originate from nonectodermal tissues such as the bone marrow, lymph nodes, bones, and muscles. However, in most cases, the cause of cancer in children remains unknown.
Further regional studies on different subpopulations and racial groups and people of different socioeconomic classes can help identify the risk factors for cancer in children. This study aimed to epidemiologically and demographically assess common cancers in children in Iran and make a comparison with neighboring countries.
| Materials and Methods|| |
Study design and participant
This cohort study was conducted on children registered in Mahak Hospital and Rehabilitation Complex (which is a NGO-related hospital for only malignant diseases) from 2007 to 2016 with definite diagnosis of cancer. Research Project Code is IR.SBMU.RETECH.REC.1396.294.
To collecting data, first, a questionnaire was designed by the researchers. Examined variables included age, gender, country, family history, type of treatment, and type of cancer. A total of 2232 questionnaires were filled out for children from 2007 to 2016.
Patients were divided into two groups of Iranian and non-Iranian (Afghan, Iraqi, Azerbaijani, Kuwaiti, Saudi Arabian, Emirati, and Pakistani patients). In terms of age range, patients were divided into five groups of <1 year, 1–5 years, 6–10 years, 11–15 years, and >15 years. Based on the type of cancer, the patients were divided into nine groups of leukemia, retinoblastoma, brain tumor, histiocytosis, lymphoma, renal cell carcinoma, sarcoma, neuroblastoma, and others. Treatment modalities included surgery, chemotherapy, radiotherapy, and all three.
Census was used to collect the data in this study. Data of 2232 children with cancer were followed up and analyzed using the stratified Cox model. First, age, sex, country, family history, type of treatment, and type of cancer were entered separately into the crude Cox model, and effect of each variable was estimated with hazard ratio (HR). Then, significant variables in crude Cox model were entered into the multiple Cox model. For applying Cox model to the survival data, proportional hazard (PH) assumption must be satisfied which assumes that the HRs are constant over time.
The PH assumption was tested by Schoenfeld residuals. Because this assumption was not met for our dataset, stratified Cox model was used in which the model was stratified by the variables which do not satisfy PH assumption. HR for stratification variable cannot be calculated, and HR for other variables was estimated in different stratum of the stratification variable.
| Results|| |
The median survival time of children was 137 months (range: 0–254 months). Because of high number of censorship and missing values in some categories of variables, it was impossible to calculate median for each variable separately, and instead, we reported the mean survival time for variables. It is shown in [Table 1].
[Table 2] shows the results of crude Cox model and stratified Cox model (adjusted model).
|Table 2: Hazard ratio estimated in Cox (crude) model and stratified Cox (adjusted) model|
Click here to view
The crude Cox regression model showed that the factors including age, country, type of cancer, family history, and type of treatment had significant effect on mortality of children diagnosed with cancer (P < 0.05). Schoenfeld residual test showed that the assumption of equality of HR in the Cox model for the type of treatment (in chemotherapy plus surgery plus radiotherapy and also chemotherapy plus radiotherapy groups) was not met. It means that the HR of mortality in different treatment groups was not constant and could not be determined. Thus, the multiple Cox model was stratified according to the type of treatment. The HRs for other variables were calculated in each stratum of stratification variable using the stratified Cox model. The results of stratified Cox model are as follows:
The HR of mortality in different age groups was compared to that in 1–5 years old. The HR of mortality in 10–15 years old was higher than that of 1–5 years old (P = 0.02, HR = 1.32).
The HR of mortality was compared between the Iranian and non-Iranian children. The HR of mortality in Afghan children with cancer was twice the rate in Iranian children (P = 0.01, HR = 1.91). Children of other countries were not significantly different from Iranian children in this respect. The HR of mortality due to different types of cancer was compared with that of leukemia. The HR of mortality in brain tumor (P < 0.001, HR = 2.24), sarcoma (P < 0.001, HR = 2.32), neuroblastoma (P < 0.001, HR: 2.56), and other cancers (P < 0.001, HR = 2.70) was more than twice the rate for leukemia.
In children who had a family history of cancer, the HR of mortality was higher than that of children without a family history of cancer (P = 0.003, HR = 1.33).
| Discussion|| |
In this study, the HR of mortality in Afghan children with cancer was about twice the value in Iranian children. Previous studies showed that one important predictor of cancer prognosis is access to health-care system for diagnosis and treatment and follow-up of disease.,
Treatment of cancer in children is complex, and several factors affect the success of treatment including type of cancer, its stage and histology, child's condition, age, sex, race and primary health status of the child, access to health care, having insurance coverage, and follow-up of disease. A previous study showed that of factors affecting the survival of patients, access to medical facilities for diagnosis and treatment is the most important factor determining the final prognosis. Our study also showed that patients who received chemotherapy plus surgery plus radiotherapy and chemotherapy plus surgery had a lower HR of mortality than the chemotherapy group.
The treatment approach for cancer was recently changed, and combination therapy has increased the survival rate of cancer patients., The chemoradiation treatment protocols increased the survival of patients with many common types of cancer as well as pediatric cancers. For treatment of high-grade glioma, addition of radiotherapy to chemotherapy yielded significantly different results.
Loeffler et al. in a meta-analysis showed that addition of radiotherapy to chemotherapy for treatment of patients with Hodgkin lymphoma improved the complete 10-year remission by 11% compared to chemotherapy alone. It seems that considering the invasive nature of most pediatric cancers, combination therapy, various chemotherapies, radiotherapy, and alternative treatments such as immunotherapy in most cancers can improve the survival of children. However, follow-up is also essential, and the long-term effects of more invasive treatments along with the use of different treatment modalities should also be taken into account.
Our results showed that family history of cancer significantly affected the survival of children after treatment. Genetic defects have found to be responsible for 15% of children's cancers in general, but they play a more important role in specific types of pediatric cancers such as adrenocortical carcinoma and a less important role in some other types such as acute lymphocytic leukemia (ALL).
It appears that regular follow-ups in children with a family history of cancer can be helpful for in-time diagnosis and successful treatment. Moreover, genetic counseling in families with cancers related to genome has shown promising results in detection of cancer genome and subsequent care.
In this study, the survival rate of cancer patients decreased by an increase in age and the survival rate of 1–5-year-old cancer children was higher than that of older age groups. This finding may be due to different biological and histological factors determining cancer prognosis in different age groups. For instance, favorable attributes of ALL, such as hyperdiploidy and TEL-AML1 translocations, occur primarily in children diagnosed at 1–9 years of age.,
Whereas, unfavorable characteristics, such as L2 morphology, pro-T-cell immunophenotype, and the BCR-ABL translocation, are more common in adolescents. For NHL, adolescents are more likely to be diagnosed with diffuse large B-cell lymphomas, including primary B-cell lymphomas, and other rare histologies than younger patients which are associated with lower survival rates. [20,21]
Similarly, the proportion of cases with alveolar rhabdomyosarcoma, associated with poorer survival compared with embryonal rhabdomyosarcoma, is greater among adolescents., On the other hand, due to the presence of several psychological and social factors in adolescents, risk of delay in the correct diagnosis of cancer is higher, and they are often diagnosed in higher stages, which affect treatment and prognosis.
Pollock et al. showed that in multiple regression model, all solid tumors except for lymphoma had longer cancer-specific lag times in adolescents than in children. This difference remained significant even after controlling for the type of cancer, which showed that pediatric cancer, irrespective of its type, is diagnosed earlier at a younger age compared to older ages.,,
| Conclusion|| |
In multiple regression analysis of common childhood cancers (brain tumors, leukemia, and sarcoma), young age, multidisciplinary approach, and absence of family history of cancer improve the survival of children. Children with a family history of cancer should be under regular follow-ups, and the treatment of cancer in children should be comprehensive. The HR of mortality in cancer children with different treatment modalities is not constant over time, and long-term complications of multidisciplinary approaches make it difficult to make a decision regarding this modality. Further studies are required to assess the short- and long-term survival of cancer children undergoing multidisciplinary treatments.
This article was extracted from the dissertation. The authors thank all the patients and their relatives, all of research team in Mahak Pediatric Cancer Treatment and Research Center, for their cooperation.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin 2016;66:7-30.
Ward E, DeSantis C, Robbins A, Kohler B, Jemal A. Childhood and adolescent cancer statistics, 2014. CA Cancer J Clin 2014;64:83-103.
Yang L, Fujimoto J, Qiu D, Sakamoto N. Childhood cancer in Japan: Focusing on trend in mortality from 1970 to 2006. Ann Oncol 2009;20:166-74.
Mousavi SM, Pourfeizi A, Dastgiri S. Childhood cancer in Iran. J Pediatr Hematol Oncol 2010;32:376-82.
Miller KD, Siegel RL, Lin CC, Mariotto AB, Kramer JL, Rowland JH, et al.
Cancer treatment and survivorship statistics, 2016. CA Cancer J Clin 2016;66:271-89.
Smith MA, Seibel NL, Altekruse SF, Ries LA, Melbert DL, O'Leary M, et al.
Outcomes for children and adolescents with cancer: Challenges for the twenty-first century. J Clin Oncol 2010;28:2625-34.
Kaatsch P. Epidemiology of childhood cancer. Cancer Treat Rev 2010;36:277-85.
Prus SG. Comparing social determinants of self-rated health across the United States and Canada. Soc Sci Med 2011;73:50-9.
Davoudi-Monfared E, Heidarnia MA, Akbari ME, Yavari P, Abadi A. Associations of demographic and socioeconomic factors with complete treatment and follow-up of colon cancer. Iran J Cancer Prev 2012;5:203-9.
Ferrari A, Lo Vullo S, Giardiello D, Veneroni L, Magni C, Clerici CA, et al.
The sooner the better? How symptom interval correlates with outcome in children and adolescents with solid tumors: Regression tree analysis of the findings of a prospective study. Pediatr Blood Cancer 2016;63:479-85.
Siegel R, DeSantis C, Virgo K, Stein K, Mariotto A, Smith T, et al.
Cancer treatment and survivorship statistics, 2012. CA Cancer J Clin 2012;62:220-41.
Fogh SE, Andrews DW, Glass J, Curran W, Glass C, Champ C, et al.
Hypofractionated stereotactic radiation therapy: An effective therapy for recurrent high-grade gliomas. J Clin Oncol 2010;28:3048-53.
Mansouri N, Movafagh A, Sayad A, Ghafouri-Fard S, Darvish H, Zare-Abdollahi D, et al.
Hepatitis B virus infection in patients with blood disorders: A concise review in pediatric study. Iran J Ped Hematol Oncol 2014;4:178-87.
Loeffler M, Brosteanu O, Hasenclever D, Sextro M, Assouline D, Bartolucci AA, et al.
Meta-analysis of chemotherapy versus combined modality treatment trials in Hodgkin's disease. International database on Hodgkin's disease overview study group. J Clin Oncol 1998;16:818-29.
Zheng S, Cherniack AD, Dewal N, Moffitt RA, Danilova L, Murray BA, et al.
Comprehensive pan-genomic characterization of adrenocortical carcinoma. Cancer Cell 2016;29:723-36.
Papaemmanuil E, Gerstung M, Bullinger L, Gaidzik VI, Paschka P, Roberts ND, et al.
Genomic classification and prognosis in acute myeloid leukemia. N Engl J Med 2016;374:2209-21.
Druker H, Zelley K, McGee RB, Scollon SR, Kohlmann WK, Schneider KA, et al.
Genetic counselor recommendations for cancer predisposition evaluation and surveillance in the pediatric oncology patient. Clin Cancer Res 2017;23:e91-7.
Ries LA, Smith MA, Gurney JG, editors. Cancer Incidence and Survival Among Children and Adolescents: United States SEER Program 1975-1995. NIH Pub. No. 99-4649. Bethesda, MD: National Cancer Institute, SEER Program; 1999.
Seifi-Alan M, Shamsi R, Ghafouri-Fard S, Mirfakhraie R, Zare-Abdollahi D, Movafagh A, et al.
Expression analysis of two cancer-testis genes, FBXO39 and TDRD4, in breast cancer tissues and cell lines. Asian Pac J Cancer Prev 2014;14:6625-9.
Bleyer A, Barr R, Hayes-Lattin B, Thomas D, Ellis C, Anderson B, et al.
The distinctive biology of cancer in adolescents and young adults. Nat Rev Cancer 2008;8:288-98.
Burkhardt B, Zimmermann M, Oschlies I, Niggli F, Mann G, Parwaresch R, et al.
The impact of age and gender on biology, clinical features and treatment outcome of non-Hodgkin lymphoma in childhood and adolescence. Br J Haematol 2005;131:39-49.
Meyer WH, Spunt SL. Soft tissue sarcomas of childhood. Cancer Treat Rev 2004;30:269-80.
Heidari MH, Porghasem M, Mirzaei N, Mohseni JH, Heidari M, Azargashb E, et al.
The effect of high level natural ionizing radiation on expression of PSA, CA19-9 and CEA tumor markers in blood serum of inhabitants of Ramsar, Iran. J Environ Radioact 2014;128:64-7.
Dang-Tan T, Franco EL. Diagnosis delays in childhood cancer: A review. Cancer 2007;110:703-13.
Pollock BH, Krischer JP, Vietti TJ. Interval between symptom onset and diagnosis of pediatric solid tumors. J Pediatr 1991;119:725-32.
Veneroni L, Mariani L, Lo Vullo S, Favini F, Catania S, Vajna de Pava M, et al.
Symptom interval in pediatric patients with solid tumors: Adolescents are at greater risk of late diagnosis. Pediatr Blood Cancer 2013;60:605-10.
Movafagh A, Maleki F, Fadaie S, AzarGashb E. Persistent unstable chromosomal aberrations in lymphocytes of radiotherapy workers after 1st
mitotic division in Tehran, Iran. Pak J Med Sci 2007;23:254-8.
Khazaei Koohpar Z, Entezari M, Movafagh A, Hashemi M. Anticancer activity of curcumin on human breast adenocarcinoma: Role of mcl-1 gene. Iran J Cancer Prev 2015;8:e2331.
[Table 1], [Table 2]
|This article has been cited by|
||Psychometric Evaluation of the Caring Ability of Family Caregivers of Patients With Cancer Scale–Mothers’ Version for the Mothers of Children With Cancer
| ||Fatemeh Khademi, Maryam Rassouli, Leila Khanali Mojen, Mehdi Heidarzadeh, Azam Shirinabadi Farahani |
| ||Cancer Nursing. 2022; 45(1): E179 |
|[Pubmed] | [DOI]|
||Parametric Models for Survival Analysis of Childhood Cancer Patients' Data
| ||Ali Asghar Keramatinia, Maryam Mohseny, Esmat Davoudi Monfared, Fatemeh Sadat Hosseini-Baharanchi, Fatemeh Shahabi, Nilofar Safavi Naeini, Sima Kianpour Rad, Mojgan Sheikhpour, Seyed Ehsan Beladian- Behbhan, Ayad Bahadorimonfared, Mandana Aphsharpad, Abolfazl Movafagh |
| ||International Journal of Cancer Management. 2022; 15(8) |
|[Pubmed] | [DOI]|
||Effect of Roy’s Adaptation Model on the Care Burden of Mothers of Children Under Chemotherapy in Gorgan in 2018: A Quasi-Experimental Study
| ||Fariba Hatami,Hamid Hojjati |
| ||Medical - Surgical Nursing Journal. 2019; In Press(In Press) |
|[Pubmed] | [DOI]|