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Erschienen in: Journal of Cancer Survivorship 2/2021

Open Access 26.08.2020

Health outcomes in offspring born to survivors of childhood cancers following assisted reproductive technologies

verfasst von: Greta Sommerhäuser, Anja Borgmann-Staudt, Kathy Astrahantseff, Katja Baust, Gabriele Calaminus, Ralf Dittrich, Marta J. Fernández-González, Heike Hölling, Charlotte J. König, Ralph Schilling, Theresa Schuster, Laura Lotz, Magdalena Balcerek

Erschienen in: Journal of Cancer Survivorship | Ausgabe 2/2021

Abstract

Purpose

An increasing number of childhood cancer survivors are using assisted reproductive technologies (ART) to overcome treatment-related fertility impairment. We report perinatal and health outcomes of offspring born to survivors following ART.

Methods

The FeCt Multicenter Offspring Study surveyed the health of offspring of childhood cancer survivors. Health outcomes in offspring born to survivors following ART (n = 57, 4.6%) or after spontaneous conception (n = 1182) were assessed in the German cohort (n = 1239) using bivariate analysis. Findings were put into the context of the general German population by health outcome assessment in 1:1 matched-pair analysis (n = 2478).

Results

Nearly twice the survivors used ART compared with numbers reported for the German general population (4.6% vs. 2.6%). Successful pregnancies were achieved after a median of two cycles, mainly using non-cryopreserved oocytes/sperm. Multiple sibling births (p < 0.001, 28.1% vs. 3.0%) and low birth weight (p = 0.008; OR = 2.659, 95% CI = 1.258–5.621) occurred significantly more often in offspring born to survivors who utilized ART than spontaneously conceived children, whereas similar percentages were born preterm or too small for their gestational age. ART did not increase the prevalence of childhood cancer or congenital malformations in offspring born to survivors.

Conclusion

ART use by childhood cancer survivors was successful with both fresh and cryopreserved oocytes/sperm, and did not influence perinatal health or health outcomes when known confounders were taken into account.

Implications for Cancer Survivors

Oncofertility is an important component of patient care. Our study implicates that the utilization of ART by adult survivors of childhood cancer does not put offspring at additional risk for adverse perinatal or health outcomes.
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Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s11764-020-00929-0) contains supplementary material, which is available to authorized users.

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Introduction

Worldwide, > 5,000,000 live births have been reported following assisted reproductive technologies (ART), mostly in vitro fertilization and intracytoplasmic sperm injection [1], with annual numbers rising [2]. In 2016, 2.6% of children in Germany were born following ART [3]. While the majority of children conceived by ART are born healthy, ART has been associated with a higher risk of adverse birth outcomes than spontaneous conception [4]. These include increased occurrences of adverse perinatal events [5], childhood cancer [6], congenital malformations [7] (including heart defects [8]), hypertension [9, 10], and asthma [11]. Hypotheses explaining these observations implicate pharmaceutically induced ovulation, micromanipulation during ART procedures, effects associated with increased incidence of multiple sibling births [4], and subfertility itself [12].
Infertility is a known late effect of cancer treatment in childhood [1315], yet national [16, 17] and international [18, 19] guidelines on fertility protection have only been developed in recent years. An increasing number of childhood cancer survivors are employing ART to fulfill the wish for biological children [20]. Survivors report being anxious about the general health of future children and the possibility that their previous cancer treatment may increase the risk of cancer in offspring [21]. Studies have shown that offspring of non-hereditary childhood cancer survivors do not have an increased risk for malformations, genetic diseases, or non-hereditary cancers [2224]. Yet, whether ART affects offspring health when used by childhood cancer survivors has not been specifically addressed.
Within our FeCt1Multicenter Offspring Study, we compared perinatal outcomes and the prevalence of childhood cancer and congenital malformations, including heart defects, in children born to German survivors following ART and after spontaneous conception. To contextualize our findings, we also compared health outcomes in the survivor offspring cohort to children in the general German population.

Methods

Design and participants

Between 2013 and 2019, we conducted the FeCt Multicenter Offspring Study in Germany, Austria, Czech Republic, Poland, and Switzerland to survey childhood cancer survivors on health aspects of their biological children. The study was approved by the Charité local ethics committee (EA2/237/05, EA2/103/11) and the German Society for Pediatric Oncology and Hematology. Survey methods of the German cohort and our study questionnaire were published previously [21, 25, 26]. Childhood cancer survivors identified as having biological children in the previously conducted nationwide studies, FeCt on survivor fertility [21, 26] and VIVE on somatic and psycho-social late effects in survivors [27], were contacted via the German Childhood Cancer Registry (n = 1340, Supplemental Figure 1). Survivors of at least 18 years of age were included for study participation if informed consent was given. Participating survivors who had used ART were additionally interviewed by phone in June and July 2019 on details of their ART treatment and course of pregnancy. For comparison with the general German population, we drew data from the KiGGS Study (health examination survey for children and adolescents in Germany) conducted in 17,641 children by the Robert Koch Institute between 2003 and 2006 [28]. Survivor offspring (n = 1239) were matched 1:1 with children from the KiGGS collective using gender, age, and born as singletons versus as multiple siblings in a case-control design for matched-pair analysis.

Variables

In total, 46 items concerning diseases, pain, well-being, living conditions, diet, health-related behavior, healthcare utilization, and social determinants were measured. Core data for the participating survivors were available from the German Childhood Cancer Registry. Participating survivors reported whether children were conceived spontaneously or via ART (specifying type). World Health Organization definitions were used to describe perinatal outcomes (gestational age, birth weight, small for gestational age) [29] and to categorize congenital malformations including heart defects (International Classification of Disease, ICD-10) [29]. The International Classification of Childhood Cancer (ICCC-3) was used to specify cancer diagnoses [30]. Whether survivors’ children had a cancer, malformation, or heart condition were surveyed by yes/no questions, and the diagnosis was further described in answer to “If yes, which?”. Whether survivors (who used ART) received chemotherapy, radiotherapy, and/or stem cell transplantation to treat their cancers were available via cooperation with the completed FeCt and VIVE studies (Supplemental Figure 1). Cause and type of infertility and details about ART procedure and pregnancy/birth-related complications were queried via phone interview.

Statistical methods

Analyses were performed using IBM SPSS Statistics, Version 25. Questionnaires lacking child’s gender, age or mode of conception, or (for comparability with the KiGGS cohort, age range 0–17 years) describing children ≥ 18 years at survey time were excluded from analyses (Supplemental Figure 1). To minimize the amount of missing data, a user-friendly questionnaire containing standardized and validated instruments from the KiGGS Study was designed and a pilot study was performed. Cases with missing data were omitted and remaining data were analyzed (listwise deletion). Survivor offspring group differences were nonparametrically tested (2-sided chi-square and Mann-Whitney U tests for unpaired samples) with a 5% significance level. Even though the number of offspring born to childhood cancer survivors following ART (n = 57) was small, post hoc calculation of statistical power revealed that the given sample size provided 80% power to detect group differences at the 5% significance level and an odds ratio (OR) of 2.8 (medium effect) by logistic regression. Bivariate analyses were carried out using McNemar and Wilcoxon signed-rank tests for paired nonparametric samples with a significance level of < 5% to detect group differences. Effect sizes were calculated including unadjusted OR with 95% confidence intervals (95% CI) and Cohen’s d effect size [31] (thresholds: 0.2 = small, 0.5 = medium, 0.8 = large). Binary logistic regression was carried out to estimate adjusted ORs with 95% CI in multivariate analyses to assess the intervariable dependencies of the sociodemographic factors, gender, age, migration background, and educational attainment of parents (rated low, medium, or high using CASMIN classification [32], as well as multiple sibling birth, smoking/drinking habits during pregnancy, and parental estimation of their child’s health). The age at diagnosis (grouped into 0–4, 5–9 and 10 or more years of age) and type of cancer (grouped into leukemia/lymphoma, brain tumors and extra-cranial solid tumors) in the parents were considered additional variables in multivariate analysis.

Results

Participants

We received responses from 852 German childhood cancer survivors (65.8% of those contacted), who returned 1340 questionnaires for their children (Supplemental Figure 1). Responders were more likely to be female (p < 0.001) and moderately to highly educated (p < 0.001). Survivors’ diagnoses, age at diagnosis, and at time of survey were equally distributed among survey participants and non-participants (Supplemental Table 1). Of the 1239 children born to childhood cancer survivors, 57 were conceived after ART (4.6%) and were born, on average, closer to the time of survey (Table 1). Compared with those who spontaneously conceived, survivors using ART experienced more multiple sibling births, and none reported smoking or drinking during pregnancy. Survivors who utilized ART were older at cancer diagnosis, but parental cancer diagnoses were equally distributed between children born after ART or spontaneously conceived children (Table 1). Of 40 survivors who reported ART, we successfully interviewed 27 survivors (67.5%, Supplemental Figure 1) about their 44 children born after ART. Clinical records available for 24 interviewed survivors showed that all received chemotherapy, 12 had also received radiotherapy and one underwent bone marrow transplantation. In both female and male childhood cancer survivors, male factor infertility contributed more strongly to the necessity for ART in couples including a childhood cancer survivor (Table 2). The majority of survivors used fresh oocytes/sperm for fertility treatment. In vitro fertilization/intracytoplasmic sperm injection was successful after one cycle in half the couples; however, 18.2% (4/22 pregnancies in female survivors) required ≥ 3 cycles. Most childhood cancer survivors that used ART reported spontaneous vaginal deliveries (65.4% in female, 66.7% in male survivors), with only two emergency cesarean sections being reported (Table 2). Paired analysis of survivor offspring matched to children in the general German population (KiGGS cohort) showed a higher educational level in parents who survived childhood cancer than in the general population (Table 1). Survivors were also more careful about alcohol and tobacco use during pregnancy (Table 1).
Table 1
Characteristics describing the offspring analyzed
 
Childhood cancer survivor offspring
p
Paired analysis (matched 1:1)
p
Conceived spontaneously
Conceived by ART
Children from the KiGGS collective
Childhood cancer survivor offspring
Missing data (n)
n (%)
Missing data (n)
n (%)
Missing data (n)
n (%)
Missing data (n)
n (%)
Total
 
1,182 (100.0)
 
57 (100.0)
  
1,239 (100.0)
 
1,239 (100.0)
 
Gendera
-
 
-
 
0.686
-
 
-
 
1.0
  Female
 
569 (48.1)
 
29 (50.9)
  
598 (48.3)
 
598 (48.3)
 
  Male
 
613 (51.9)
 
28 (49.1)
  
641 (51.7)
 
641 (51.7)
 
Year of birth
    
< 0.001
-
 
-
 
< 0.001
  1985 to 1999
 
59 (5.0)
 
1 (1.8)
  
747 (60.3)
 
60 (4.8)
 
  2000 to 2009
 
561 (47.5)
 
12 (21.1)
  
492 (39.7)
 
573 (46.2)
 
  ≥ 2010
 
562 (47.5)
 
44 (77.2)
  
-
 
606 (48.9)
 
Age at time of surveya
-
 
-
 
< 0.001
-
 
-
 
1.0
  Mean age (SD)
 
5.8 [4.1]
 
3.9 [3.4]
  
5.7 (4.13)
 
5.7 (4.13)
 
  Median age (IQR)
 
5 [5]
 
3 [3]
  
5 (6)
 
5 (6)
 
  0 to 6
 
771 (65.2)
 
48 (84.2)
  
819 (66.1)
 
819 (66.1)
 
  7 to 13
 
330 (27.9)
 
8 (14.0)
  
338 (27.3)
 
338 (27.3)
 
  ≥ 14
 
81 (6.9)
 
1 (1.8)
  
82 (6.6)
 
82 (6.6)
 
Multiple sibling birtha
-
35 (3.0)
-
16 (28.1)
< 0.001
-
51 (4.1)
-
51 (4.1)
1.0
Migration background
1
240 (20.3)
-
10 (17.5)
0.610
1
267 (21.6)
1
250 (20.2)
0.439
Educational attainment
-
 
-
 
0.199
12
 
-
 
0.001
  Low
 
170 (14.4)
 
4 (7.0)
  
162 (13.2)
 
174 (14.0)
 
  Medium
 
520 (44.0)
 
26 (45.6)
  
679 (55.3)
 
546 (44.1)
 
  High
 
492 (41.6)
 
27 (47.4)
  
386 (31.5)
 
519 41.9
 
Smoking during pregnancy
12
90 (7.7)
1
-
0.031
22
203 (16.7)
13
90 (7.3)
< 0.001
Drinking during pregnancy
11
43 (3.7)
1
-
0.144
17
198 (16.2)
12
43 (3.5)
< 0.001
Year of diagnosis (survivor parent)
1
 
-
 
0.796
-
-
1
 
-
  1980 to 1989
 
694 (58.8)
 
34 (59.6)
    
728 (58.8)
 
  1990 to 1999
 
462 (39.1)
 
23 (40.4)
    
485 (39.1)
 
  ≥ 2000
 
25 (2.1)
 
-
    
25 (2.0)
 
Age at diagnosis (survivor parent)
1
 
-
 
0.032
-
-
1
 
-
  Mean age (SD)
 
8.5 [4.5]
 
9.7 [4.3]
    
8.6 (4.5)
 
  Median age (IQR)
 
9 [7]
 
10 [6]
    
9 (8)
 
  0 to 4
 
284 (24.0)
 
12 (21.1)
    
296 (23.9)
 
  5 to 9
 
325 (27.5)
 
8 (14.0)
    
333 (26.9)
 
  ≥ 10
 
572 (48.4)
 
37 (64.9)
    
609 (49.2)
 
Diagnosis (ICCC-3)
1
 
-
 
0.541
-
-
1
 
-
  Leukemia
 
486 (41.2)
 
29 (50.9)
    
515 (41.6)
 
  Lymphomas
 
182 (15.4)
 
8 (14.0)
    
190 (15.3)
 
  Brain tumors
 
86 (7.3)
 
5 (8.8)
    
91 (7.3)
 
  Neuroblastoma
 
46 (3.9)
 
1 (1.8)
    
47 (3.8)
 
  Retinoblastoma
 
23 (1.9)
 
-
    
23 (1.9)
 
  Renal tumors
 
70 (5.9)
 
4 (7.0)
    
74 (6.9)
 
  Hepatic tumors
 
3 (0.3)
 
-
    
3 (0.2)
 
  Bone tumors
 
112 (9.5)
 
6 (10.5)
    
118 (9.5)
 
  Soft tissue tumors
 
114 (9.7)
 
1 (1.8)
    
115 (9.3)
 
  Germ cell tumors
 
38 (3.2)
 
3 (5.3)
    
41 (3.3)
 
  Other malignant epithelial neoplasm
 
21 (1.8)
 
-
    
21 (1.7)
 
  Other neoplasm (unspecified)
 
-
 
-
    
-
 
ART, assisted reproductive technologies; SD, standard deviation; IQR, interquartile range; ICCC-3, International Classification of Childhood Cancer, third revision (https://​seer.​cancer.​gov/​iccc/​)
aMatching variables for paired analysis
Table 2
ART characteristics (telephone interview)
Characteristics
Offspring born to survivors using ART
 
Female survivor (parent)
Male survivor (parent)
 
Missing data (n)
n (%)
Missing data (n)
n (%)
p
Total of offspring born after ARTa
 
26 (100.0)
 
18 (100.0)
 
Gender of offspring
-
 
-
 
0.179
  Female
 
12 (46.2)
 
12 (66.7)
 
  Male
 
14 (53.8)
 
6 (33.3)
 
Infertility diagnosed in survivor
1
10 (40.0)
-
14 (77.8)
0.014
  Female factor
 
7 (28.0)
 
2 (22.2)
 
  Male factor
 
15 (60.0)
 
13 (72.2)
 
  Both female and male factor
 
3 (12.0)
 
1 (5.6)
 
ART
-
 
-
 
-
  IVF
 
3 (11.5)
 
4 (22.2)
 
  ICSI
 
17 (65.4)
 
10 (55.5)
 
  ICSI and TESEa
 
3 (11.5)
 
-
 
  ICSI (with donor sperm)
 
-
 
1 (5.5)
 
  IUI
 
3 (11.5)
 
1 (5.5)
 
  IUI (with donor sperm)
 
-
 
2 (11.1)
 
Use of sperm or oocytes
-
 
-
 
0.025
  Fresh
 
23 (88.5)
 
10 (55.6)
 
  Cryopreserved before cancer treatment
 
-
 
3 (16.7)
 
  Cryopreserved after cancer treatment
 
3 (11.5)
 
5 (27.8)
 
Number of IVF/ICSI treatment cycles
1
 
-
 
0.187
  1
 
10 (45.5)
 
8 (50.0)
 
  2 to 3
 
8 (36.4)
 
8 (50.0)
 
  ≥ 4
 
4 (18.2)
 
-
 
Pregnancy complications
-
8 (30.8)
-
-
0.009
  Gestational diabetes (non-insulin dependent)
 
3 (11.5)
 
-
 
  Gestational diabetes (insulin dependent)
 
3 (11.5)
 
-
 
  Premature contractions
 
1 (3.8)
 
-
 
  Vanishing twin syndrome
 
1 (3.8)
 
-
 
Birth mode
-
 
-
 
-
  Vaginal delivery
 
17 (65.4)
 
12 (66.7)
 
  Vacuum extraction
 
1 (3.8)
 
1 (5.5)
 
  Elective cesarean section
 
3 (11.5)
 
4 (22.2)
 
  Cesarean section with medical indication
 
4 (15.4)
 
-
 
  Emergency cesarean section
 
1 (3.8)
 
1 (5.5)
 
Year of birth (survivor parent)
    
0.140
  1960 to 1969
 
2 (7.7)
 
3 (16.7)
 
  1970 to 1979
 
9 (34.6)
 
10 (55.6)
 
  ≥ 1980
 
15 (57.7)
 
5 (27.8)
 
Age at diagnosis (survivor parent)
-
   
0.434
  Mean age (SDF)
 
9.0 [4.5]
 
10.2 [4.3]
 
  Median age (IQR)
 
9.5 [9.0]
 
12.5 [6.5]
 
Diagnosis (grouped)
-
   
0.565
  Leukemia/lymphomas
 
18 (69.2)
 
15 (83.3)
 
  Brain tumors
 
3 (11.5)
 
1 (5.6)
 
  Solid tumors
 
5 (19.2)
 
2 (11.1)
 
Treatment including radiotherapy
3
11 (47.8)
1
7 (41.2)
0.676
  Chemotherapy only
 
12 (52.2)
 
10 (58.8)
 
  Chemo- and radiotherapy
 
11 (47.8)
 
5 (29.4)
 
  Chemotherapy, radiotherapy and BMT
 
-
 
2 (11.8)
-
Age at birth of offspring (in total)
-
 
-
 
0.001
  Mean age (SDF)
 
31.1 [2.5
 
35.0 [3.7]
 
  Median age (IQR)
 
31 [3.3
 
34 [6.5]
 
Partner’s age at birth of offspring (in total)
-
 
-
 
0.032
  Mean age (SDF)
 
35.6 [4.9]
 
32.6 [2.3]
 
  Median age (IQR)
 
36 [9.25]
 
32 [3.0]
 
ART, assisted reproductive technologies; IVF, in vitro fertilization; ICSI, intracytoplasmic sperm injection; TESE, testicular sperm extraction; IUI, intrauterine insemination; BMT, bone marrow transplant; SD, standard deviation; IQR, interquartile range

Perinatal outcomes

We evaluated the prevalence of preterm birth, low birth weight, and small for gestational age in survivor offspring from the survey responses. Children born to survivors, whether following ART or spontaneous conception, were born to term (37 to < 42 weeks of gestation, Table 3). The offspring born following ART, however, were delivered slightly but significantly earlier (mean 38.5 vs. 39.1 weeks of gestation, p = 0.028; Cohen’s d 0.127). While using ART did not significantly increase the risk for premature birth among childhood cancer survivors, bivariate analysis revealed that birth weight below 2500 g (low birth weight) was statistically more prevalent (p = 0.008; OR = 2.659, 95% CI = 1.258–5.621, Table 3). In multivariate analyses, however, differences in the prevalence of low birth weight between groups were no longer apparent (Supplementary Table 2). Preterm birth (p < 0.001; OR = 38.306, 95% CI = 21.044–69.727) and congenital heart defects (p = 0.046; OR = 5.616, 95% CI = 1.030–30.610) were confirmed to be confounding variables affecting the prevalence of low birth weight in our cohort. When birth weight was related to the respective gestational age to identify children born too small for gestational age (< 10th percentile), no differences were detected between survivor offspring born after ART or spontaneous conception (Table 3). Paired analysis with the general population (KiGGS children) revealed that survivor offspring were delivered at term, although marginally earlier (mean 39.0 vs. 39.3 weeks of gestation, p = 0.036; Cohen’s d = 0.065, Table 3). Among survivor offspring, the risk of prematurity (< 37 weeks of gestation, p = 0.008; OR = 1.701, 95% CI = 1.253–2.308) and low birth weight (< 2500 g, p = 0.047; OR = 1.431, 95% CI = 1.020–2.007) was slightly but significantly elevated compared with the general population. Multivariate analyses confirmed group differences for prematurity (p < 0.001; OR = 2.002, 95% CI = 1.395–2.874), but not for low birth weight which was instead shown to be influenced by the epidemiologically known confounders, prematurity, and multiple sibling births [33] (Supplementary Table 2). The prevalence of being born too small for gestational age did not differ between survivor offspring and children in the general population.
Table 3
Perinatal outcomes in offspring (bivariate analyses)
Objectives
Childhood cancer survivor offspring
Effect size (95% CI)
p
Paired analysis (matched 1:1)
Effect size (95% CI)
p
Conceived spontaneously
Conceived by ART
Children from the KiGGS collective
Childhood cancer survivor offspring
Missing data (n)
n (%)
Missing data (n)
n
Missing data (n)
n (%)
Missing data (n)
n (%)
Total
 
1,182 (100.0)
 
57 (100.0)
   
1,239 (100.0)
 
1,239 (100.0)
  
Gestational age
39
 
1
 
Cohen’s d 0.127
0.028
137
 
40
 
Cohen’s d 0.065
0.036
  Mean gestational age (SD)
 
39.1 [2.2]
 
38.5 [2.2]
   
39.3 [1.9]
 
39 [2.2]
  
  Median gestational age (IQR)
 
40 [2]
 
39 [2]
   
40 [1]
 
39 [2]
  
Preterm birth (< 37 weeks gestation)a
 
115 (10.1)
 
9 (16.1)
 
0.149
 
70 (6.4)
 
124 (10.3)
OR 1.701 (1.253–2.308)
0.008
  Extremely preterm (< 28 weeks gestation)
 
6 (0.5)
 
-
   
6 (0.5)
 
6 (0.5)
  
  Very preterm (28 to < 32 weeks gestation)
 
10 (0.9)
 
-
   
4 (0.4)
 
10 (0.8)
  
  Moderate preterm (32 to < 37 weeks gestation)
 
99 (8.7)
 
9 (16.1)
   
60 (5.4)
 
108 (9.0)
  
  Term (37 to < 42 weeks gestation)
 
958 (83.8)
 
45 (80.4)
   
971 (88.1)
 
1003 (83.7)
  
  Post term (42 weeks gestation or more)
 
70 (6.1)
 
2 (3.6)
   
61 (5.5)
 
72 (6.0)
  
Birth weight
13
 
-
  
0.075
21
 
13
  
0.069
  Mean birth weight in grams (SD)
 
3,340 [582.9]
 
3,90 [599.3]
   
3,410 [576.5]
 
3,334 [584.3]
  
  Median birth weight in grams (IQR)
 
3350 [685]
 
3310 [775]
   
3420 [670]
 
3350 [691]
  
Low birth weight (< 2500 g)a
 
77 (6.6)
 
9 (15.8)
OR 2.659 (1.258–5.621)
0.008
 
61 (5)
 
86 (7)
OR 1.431 (1.020–2.007)
0.047
  Extremely low birth weight (< 1000 g)
 
5 (0.4)
 
-
   
5 (0.4)
 
5 (0.4)
  
  Very low birth weight (1000 to < 1500 g)
 
7 (0.6)
 
-
   
5 (0.4)
 
7 (0.6)
  
  Moderately low birth weight (1500 to < 2500 g)
 
65 (5.6)
 
9 (15.8)
   
51 (4.2)
 
74 (6.0)
  
  Normal birth weight (2500 to < 4000 g)
 
957 (81.9)
 
43 (75.4)
   
983 (80.7)
 
1000 (81.6)
  
  High birth weight (4000 g or more)
 
135 (11.5)
 
5 (8.8)
   
174 (14.3)
 
140 (11.4)
  
Small for gestational ageb
48
81 (7.1)
1
7 (12.5)
 
0.135
139
74 (6.7)
49
88 (7.4)
-
0.616
ART, assisted reproductive technologies; CI, confidence interval; SD, standard deviation; IQR, interquartile range; OR, odds ratio
aWorld Health Organization definitions were employed (https://​www.​who.​int)
bSmall for gestational age was defined as a birth weight below the 10th percentile for the average at the respective gestational age

Prevalence of childhood cancer

All childhood cancer survivors surveyed submitted information about cancer occurrences in their children. Although eight children born to survivors (0.6%) were diagnosed with cancer before the age of 18 (including two retinoblastomas in children with hereditary predispositions), none of the affected children were born following ART (Table 4). Among the children from the KiGGS cohort used in paired analysis, one child was diagnosed with a brain tumor and a second child with renal tumor (0.2%, p = 0.180). This comparison indicates that childhood cancer prevalence is no different in survivor offspring than in the general German population.
Table 4
Health outcomes in offspring (bivariate analyses)
Objectives
Childhood cancer survivor offspring
Effect size (95% CI)
p
Paired analysis (matched 1:1)
Effect size (95% CI)
p
Conceived spontaneously
Conceived by ART
Children from the KiGGS collective
Childhood cancer survivor offspring
Missing data (n)
n (%)
Missing data (n)
n (%)
Missing data (n)
n (%)
Missing data (n)
n (%)
Total
 
1,182 (100.0)
 
57 (100.0)
   
1,239 (100.0)
 
1,239 (100.0)
  
Childhood cancer (ICCC-3 2008)
-
8 (0.7)
 
-
 
0.533
168
2 (0.2)
-
8 (0.6)
 
0.180
Non-hereditary childhood cancera
1
5 (0.4)
-
-
 
0.623
-
2 (0.2)
1
5 (0.4)
 
0.687
Diagnosis of childhood cancer
      
-
 
1
   
  Leukemia
 
-
     
-
 
-
  
  Lymphomas
 
1d
     
-
 
1d
  
  Brain tumors
 
1d
     
1d
 
1d
  
  Neuroblastoma
 
1d
     
-
 
1d
  
  Retinoblastomaa
 
2d
     
-
 
2d
  
  Renal tumors
 
1d
     
1d
 
1d
  
  Hepatic tumors
 
-
     
-
 
-
  
  Bone tumors
 
-
     
-
 
-
  
  Soft tissue tumors
 
1d
     
-
 
1d
  
  Germ cell tumors
 
-
     
-
 
-
  
  Other malignant epithelial neoplasm
 
-
     
-
 
-
  
  Other neoplasm (unspecified)
 
-
     
-
 
-
  
Congenital malformations (Q00-Q99, ICD-10 2016)
15
69 (5.9)
-
2 (3.5)
 
0.448
168
119 (11.1)
15
71 (5.8)
OR 0.393 (0.284 to 0.544)
< 0.001
Diagnosis
4
 
-
   
-
 
4
   
  Nervous system
 
1 (1.4)
 
1d
   
2 (1.5)
 
2 (2.7)
  
  Eye, ear, face, and neck
 
3 (4.2)
 
-
   
7 (5.4)
 
3 (4.0)
  
  Circulatory systemb
 
28 (38.9)
 
1d
   
38 (29.2)
 
29 (38.7)
  
  Respiratory system
 
-
 
-
   
-
 
-
  
  Cleft lip and cleft palate
 
4 (5.6)
 
-
   
3 (2.3)
 
4 (5.3)
  
  Digestive system
 
3 (4.2)
 
1d
   
3 (2.3)
 
4 (5.3)
  
  Genital organs
 
5 (6.9)
 
-
   
11 (8.5)
 
5 (6.7)
  
  Urinary system
 
6 (8.3)
 
-
   
11 (8.5)
 
6 (8.0)
  
  Musculoskeletal system
 
20 (27.8)
 
-
   
48 (36.9)
 
20 (26.7)
  
  Other congenital malformations
 
1 (1.4)
 
-
   
6 (4.6)
 
1 (1.3)
  
  Chromosomal abnormalities (not elsewhere classified)
 
1 (1.4)
 
-
   
1 (0.8)
 
1 (1.3)
  
  Number of congenital malformations reportedc
 
72 (6.2)
 
3 (5.3)
   
130 (12.1)
 
75 (6.1)
  
  Number of children with congenital malformations
 
65 (5.6)
 
2 (3.5)
   
119 (11.1)
 
67 (5.5)
  
Congenital heart defects (Q20-28, ICD-10 2016)
15
23 (2.0)
-
1d
 
0.908
168
35 (3.3)
15
24 (2.0)
OR 0.592 (0.350 to 1.002)
0.049
Diagnosis
-
 
-
   
-
 
-
   
  Cardiac chambers and connections
 
-
 
-
   
1 (2.6)
 
-
  
  Cardiac septa
 
13 (46.4)
 
1d
   
28 (73.7)
 
14 (48.3)
  
  Pulmonary, tricuspid valves, aortic and mitral valves
 
5 (17.9)
 
-
   
2 (5.3)
 
5 (17.2)
  
  Other congenital malformations of heart
 
1 (3.6)
 
-
   
1 (2.6)
 
1 (3.4)
  
  Great arteries and great veins
 
9 (32.1)
 
-
   
5 (13.2)
 
9 (31.0)
  
  Other malformations of peripheral vascular system
 
-
 
-
   
1 (2.6)
 
-
  
  Other malformations of circulatory system
 
-
 
-
   
-
 
-
  
  Number of reported congenital heart defectsc
 
28
 
1d
   
38 (3.5)
 
29 (2.4)
  
  Numbers of children with congenital heart defects
 
23 (2.0)
 
1d
   
35 (3.3)
 
24 (2.0)
  
ART, assisted reproductive technologies; CI, confidence interval; ICCC-3, International Classification of Childhood Cancer, third revision (https://​seer.​cancer.​gov/​iccc/​); SD, standard deviation; IQR, interquartile range; ICD-10, International Statistical Classification of Diseases, 10th revision; OR, odds ratio
aTwo diagnoses (retinoblastomas) with hereditary predispositions were excluded
bDiagnoses of congenital malformations of the circulatory system are reported in detail in congential heart defects
cChildren with multiple diagnoses appear more than once in the table
dNumbers (n) were too small to report meaningful percentages

Prevalence of congenital malformations and heart defects

The childhood cancer survivors surveyed also submitted information about the occurrence of congenital malformations and heart defects in their offspring. Neither congenital malformations nor heart defects were more prevalent in survivor offspring born following ART compared with those spontaneously conceived (Table 4). The surveyed survivors reported 75 diagnoses of congenital malformations in 71 offspring of the 1224 offspring informed on in the survey (5.8%). In the paired analysis for children from the general German population (KiGGS cohort), 130 diagnoses of congenital malformations were reported in 119 children, yielding an even higher prevalence for congenital malformations (11.1%, p < 0.001; OR = 0.393, 95% CI = 0.284–0.544, Table 4). The slightly higher prevalence for congenital malformations in the KiGGS cohort remained significant (p = 0.002, OR = 0.538, 95% CI = 0.364–0.796) in multivariate analyses (Supplementary Table 3). Congenital malformations were shown to be associated with a lower parental estimation of the child’s overall health (“very good” p < 0.001; OR = 0.312, 95% CI = 0.161–0.604). Significantly more congenital heart defects (bivariate analysis: p = 0.049; OR = 0.592, 95% CI = 0.350–1.002) occurred in the general population, with 38 diagnoses in 35 KiGGS children reported (total = 1071, 3.3%) in comparison with 29 diagnoses in 24 survivor offspring (total = 1224, 2.0%, Table 4). Multivariate analysis, however, did not confirm this higher prevalence for congenital heart defects in KiGGS children (Supplementary Table 3). The prevalence of congenital malformations or heart defects was not increased in offspring of childhood cancer survivors in the surveyed cohort in any group comparisons conducted.

Discussion

Here, we specifically investigate the impact of ART on the health of offspring born to childhood cancer survivors using the only survey information published to date that was tailored to this question. Nearly twice the childhood cancer survivors used ART in our surveyed cohort (4.6%) compared with numbers reported by the German In Vitro Fertilization Registry (2.6%) [34]. This distribution parallels findings from Melin et al., who compared fertility treatments among female survivors of adult cancer and their siblings (5.2% vs. 2.8%) [35]. While current guidelines recommend fertility preservation before cancer treatment [36], patients in our cohort were treated (1980–1999) before its routine implementation. Only few patients cryopreserved oocytes/sperm prior to cancer treatment. In line with results from a recent European study [37], more male survivors cryopreserved, likely because sperm collection is less invasive and costly, but possibly also due to differences in counseling [38]. Our data showed that even in cases lacking pretreatment oocytes/sperm cryopreservation, successful ART pregnancies occurred in childhood cancer survivors. The increasing numbers of childhood cancer survivors who turn to ART [34] stress the importance of establishing an information base from which to counsel childhood cancer patients and survivors.
Our analyses revealed that the prevalence of multiple sibling births after ART was nearly tenfold higher than for children conceived spontaneously (28.1% vs. 3%). The higher prevalence of multiple sibling births after ART parallels the 34% reported for the general population in 2016 by the German In Vitro Fertilization Registry [34] and is in line with the 31.5% prevalence reported in 2016 in the USA [39]. Recent studies describe a mediating effect of multiple sibling births after ART on adverse obstetric outcomes [4, 5], indicating relevance for health also reflected in our findings from multivariate analyses on perinatal outcomes (p < 0.001; OR = 3.902, 95% CI = 1.804 to 8.441, Supplementary Table 1). When known confounders including multiple sibling birth were taken into account [4, 5, 4043], perinatal outcomes were no different in survivor offspring, whether conceived after ART or spontaneously. We detected a modest increase in the prevalence for moderate preterm birth (32 to < 37 weeks of gestation) in childhood cancer survivors compared to the KiGGS cohort, as a representative for the general German population. These findings are reassuring, since most medical consequences occur in very (28 to < 32 weeks of gestation) or extremely (< 28 weeks of gestation) preterm infants [44]. Recent studies have cited long-term treatment effects as a possible source for their detected increased prevalence of adverse pregnancy outcomes in childhood cancer survivors. Van de Loo et al. and van Dorp et al. both found that childhood cancer survivors exposed to radiation were at higher risk for preterm delivery and low birth weight [24, 45]. The majority of survivors in our collective (58.7%) were treated in the 1980s, typically receiving higher doses of radiation and alkylating agents (in multiagent chemotherapy schedules) than are currently used [46]. Against this backdrop of progressively reduced toxicity regimens, our findings appear particularly reassuring for patients treated with the less toxic protocols for childhood cancer today. Our study confirms the known increase in multiple sibling births following ART and indicates that prevalence was no higher in childhood cancer survivors than in the general German population. Adverse obstetric outcomes in survivors, as described by preceding studies, were only reflected by a small increase of moderate preterm births in our survivor cohort.
We found that ART did not raise the prevalence of childhood cancer among survivor offspring. In this respect, currently available data collected for the general population are not consistent. Williams et al. reported no increase in the overall risk for cancer among 106,013 children conceived through ART in the British general population, while the risk for hepatoblastoma and rhabdomyosarcoma appeared slightly increased [47]. Likewise, Spaan et al. reported no increase in the overall cancer risk among 24,269 children conceived after ART in the general Dutch population after a median follow-up of 21 years [48]. A meta-analysis of 25 cohort and case-control studies published in 2013, however, calculated a slightly elevated overall risk for cancer in children born after ART (RR = 1.33, 95%CI = 1.08–1.63) [49]. The authors pointed out that subfertility and potential epigenetic defects in the gametes, rather than the ART procedure itself, might be the most important predisposing factor for childhood cancer underlying these data [49]. While a meta-analysis by Hoorsan et al. from 2017 arrived at a 53% higher risk for congenital malformations following ART in the general population [50], our data showed no increased risk for congenital malformations or heart defects among offspring born to childhood cancer survivors who used ART. Hoorsan et al. discuss genetic characteristics and conditions specifically occurring in infertile couples as causative, which may differ from characteristics of our study population. When comparing the prevalence of childhood cancer and congenital malformations in survivor offspring with children from the KiGGS Study, whether conceived by ART or spontaneous conception, our study confirmed findings from large studies [2224], that showed no higher prevalence for childhood cancer in survivor offspring than in children in the general population. Similarly, the prevalence of congenital malformations, including heart defects, was not elevated in offspring born to our survivor cohort than the reported prevalence in the general population, in line with currently available data [5155]. Our findings in the survivor cohort and in comparisons with the general German population support that the use of ART by childhood cancer survivors does not put offspring at additional risk for adverse health outcomes including childhood cancer or congenital malformations.
The study setting and conduct feasibility among childhood cancer survivors in Germany posed certain limitations. Recruitment was based on previous surveys identifying survivors with biological children, potentially causing a selection bias. This approach was necessary to reduce the study burden for survivors, as required by the German Society for Pediatric Oncology and Hematology. The questionnaire-based setting could produce recall bias that could reduce data accuracy. However, all survivor parents had been treated according to standardized trial protocols, for which detailed treatment information was available through the German Society for Pediatric Oncology and Hematology. Although we were able to examine a number of potential mediating factors, we had no information on maternal age, body mass index, and infections during pregnancy, which are further factors influencing perinatal events [46, 5658]. Missing data of the main outcomes were rare in survivor offspring: 1.79% (0.08–3.95%) but more prevalent in the KiGGS cohort: 10.78% (1.70%–13.56%). Although we have no indication of this, it cannot be ruled out with certainty that these were not completely at random. Despite the explorative character of this study, which does not allow for confirmatory conclusions, our analyses offer new insights into health issues in offspring born to childhood cancer survivors, and the high response rate reflects the strong interest shown by survivors in these issues. The small sample size of 57 survivor offspring born after ART was adequate to detect medium effects (d 0.5 or higher). Future studies are needed to further explore the effect of ART within a larger population. Our study delivers encouraging results for survivors of childhood cancer that demonstrate that the vast majority of offspring born to survivors do not experience adverse perinatal outcomes or later health problems, independently of whether conception was spontaneous or required ART.

Acknowledgments

The authors thank the participants of our FeCt Multicenter Offspring Study for participation, as well as the Robert Koch Institute (Berlin), and the German Childhood Cancer Registry for the good cooperation. The FeCt Multicenter Offspring Study was supported by the Madeleine Schickedanz Kinderkrebsstiftung, KINDerLEBEN e.V. Berlin, the (Junior) Clinician-Scientist Program of Charité-Universitätsmedizin Berlin, and Berlin Institute of Health and by a doctoral grant from the Deutsche Stiftung für junge Erwachsene mit Krebs.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethics approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee, Charité local ethics committee (EA2/237/05, EA2/103/11), and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.
Informed consent was obtained from all individual participants included in the study.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

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Metadaten
Titel
Health outcomes in offspring born to survivors of childhood cancers following assisted reproductive technologies
verfasst von
Greta Sommerhäuser
Anja Borgmann-Staudt
Kathy Astrahantseff
Katja Baust
Gabriele Calaminus
Ralf Dittrich
Marta J. Fernández-González
Heike Hölling
Charlotte J. König
Ralph Schilling
Theresa Schuster
Laura Lotz
Magdalena Balcerek
Publikationsdatum
26.08.2020
Verlag
Springer US
Erschienen in
Journal of Cancer Survivorship / Ausgabe 2/2021
Print ISSN: 1932-2259
Elektronische ISSN: 1932-2267
DOI
https://doi.org/10.1007/s11764-020-00929-0

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