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01.12.2017 | Research article | Ausgabe 1/2017 Open Access

BMC Cancer 1/2017

Incidence of breast cancer in Chinese women exposed to the 1959–1961 great Chinese famine

Zeitschrift:
BMC Cancer > Ausgabe 1/2017
Autoren:
Dandan He, Yuan Fang, Marc J. Gunter, Dongli Xu, Yanping Zhao, Jie Zhou, Hong Fang, Wang Hong Xu
Wichtige Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12885-017-3794-3) contains supplementary material, which is available to authorized users.
Abbreviations
BMI
body mass index
CIs
confidence intervals
HR
hazard ratios
IGF
insulin-like Growth Factor
IRB
Institutional Review Board

Background

Breast cancer, the most common malignancy in women worldwide, is responsible for nearly one-fifth of deaths in women aged 40 to 50 years [ 1]. The incidence of breast cancer has been increasing over the past decades around the world, including in China, a developing country with historically a lower incidence of the malignancy [ 2]. The upward trend of breast cancer incidence in Chinese women has been attributed to the growing impact of western lifestyles in the country [ 3]. Over-nutrition in adulthood, particularly when combined with malnutrition in early life, has been suggested to increase the risk of breast cancer in Asian populations [ 4, 5].
According to Barker’s “fetal origin” hypothesis, adverse intrauterine conditions may have a profound effect on health in later life [ 6]. Trichopoulos [ 7] proposed that breast cancer may originate in utero due to exposure to increased concentrations of maternal oestrogens. Both hypotheses were supported by a body of evidence from animal experiments and epidemiological studies. Studies in rodents have shown reductions in tumor occurrence by calorie deprivation [ 8, 9], which was suggested to modulate the expression of estrogens receptors [ 10]. However, results derived from human populations are conflicting [ 1114]. While several studies observed a lower risk of breast cancer in women with low birth weight, and found that the risk increased with increasing birth weight [ 11, 12], studies conducted in survivors of the Dutch famine observed an increased risk of breast cancer compared to women unexposed [ 1517].
The Dutch famine was a severe but short-term period of malnutrition that occurred in a previously and subsequently well-nourished population [ 18]. The Great Leap Forward famine in China, on the other hand, was a much more severe event occurring during the period of 1959 to 1961 [ 19, 20]. Despite the disastrous impact of the famine on Chinese population, its occurrence provides us an opportunity to study the health consequences of malnutrition in early life [ 21, 22]. However, there is no prior study examining the long-term effect of the Great Famine on the occurrence of breast cancer in Chinese women.
In this study, we compared the incidence of the breast cancer among Chinese women born during and after the Great Famine with those born before the event, and thus evaluated the potential effect of malnutrition in early life on breast cancer risk.

Methods

Subjects and study design

This retrospective study used data from a former breast cancer screening program provided to female permanent residents of Shanghai who were living in communities of Minhang district, Shanghai, China, at the time of interview. As described in our previous report [ 23], 149,577 women, accounting for 65% of a total of 231,069 women at age of 40–74 years old and free of breast cancer in the district, participated in the screening program during the period of 2008 and 2012.
In-person interviews were conducted for all participants using a structured questionnaire to collect information on demographic characteristics, reproductive factors, family history of breast cancer and prior diagnosis of any breast diseases (see Additional file 1). After excluding those born before 1955 and after 1966, a total of 59,060 women born between 1955 and 1966 and free of breast cancer were included in the current study.
This study was approved by the Institutional Review Board (IRB) of the Center of Disease Prevention and Control of Minhang district, Shanghai, China. Verbal consent was obtained from each participant.

Identification of incident breast cancer

All subjects of the study were followed-up by a record linkage with the Shanghai Cancer Registry and the Shanghai Vital Statistics. The start time of following-up was from the date of recruitment which was from May 23, 2008 to Sep 30, 2012 in calendar time or from 42 to 57 years old with respect to age of the subjects. In April 2016, the record linkage was conducted for all subjects using the unique ID number, a number given to each Chinese citizen by birth and remaining unchanged in whole life, to identify the incident breast cancer and obtain vital status up to June 30, 2015. Information about the Shanghai Cancer Registry system has been described in detail elsewhere [ 2426]. Briefly, the Shanghai Cancer Registry was established in 1963, covering 100% permanent residents of urban Shanghai before 2001 and of both urban and rural areas of Shanghai thereafter.
The incident breast cancer cases were identified according to ICD-10 codes of C50. Basic demographic characteristic, tumor site, pathological type and stage of the cancer were available in the system. All incident breast cancer cases identified through linkage were subsequently confirmed by medical record examination.

Statistical analysis

Since the Great Chinese Famine occurred in 1959 and continued until 1961, exposure to the Famine was defined based on birth year of our subjects. As did previous studies [ 27], women born between January 1, 1959 and December 31, 1962 were considered to have been pre-natal exposed to the Famine ( n = 17,772), while those born before 1959 were regarded post-natal exposure ( n = 25,836) and those born after 1962 were treated as unexposed group ( n = 15,452). The post-natal exposure group was used as the reference group. Time at risk started at the date of baseline survey and ended at the date of diagnosis of breast cancer, date of death, or ending date of following-up (June 30, 2015), whichever occurred first.
Chi-square tests were used to compare demographic characteristics of study participants across the three birth-year subgroups. The direct adjusted cumulative probabilities of breast cancer incidence were calculated and curved based on a stratified Cox regression model proposed by Zhang et al. [ 28]. Cox proportional hazard modelling was used to estimate the hazard ratios (HR) and 95% confidence intervals (CIs) of breast cancer related to the exposure to the Famine. Known risk factors of breast cancer such as age (as a continuous variable), educational level (Primary school or below / Middle School / Technical school / High school / College or above, as dummy variables), marital status (married / other status), regular menstrual cycle (yes / no), breastfeeding (ever / never) and family history of breast cancer (ever / never) were adjusted in the models as potential confounding factors for their unbalanced distributions among the three subgroups. A sensitivity analysis was conducted by re-defining the cohort periods as 1955–1959, 1960–1962 and 1963–1966 to minimize the potential misclassification bias since those born in early 1959 were actually conceived in 1958.
All tests were two sided, and p values less than 0.05 were considered statistically significant. All statistics were analyzed using SAS statistical package (version 9.3).

Results

Presented in Table  1 are baseline demographic characteristics and reproductive factors of our subjects. No significant difference was observed among subgroups with respect to age at menarche, infertility, age at first child’s birth and exogenous estrogen use ( p > 0.05). The post-natal exposure group, however, were more likely to have a lower level of education, later age at menopause, an irregular menstrual cycle and a family history of breast cancer ( p < 0.0001), but less likely in marriage and breast fed compared to other two groups.
Table 1
Comparison of demographic and reproductive factors by birth year in Chinese women
 
Birth year
p value
1955–1958 ( N = 25,836)
1959–1962 ( N = 17,772)
1963–1966 ( N = 15,452)
Participant rates (%)
68.7
61.2
54.6
 
Age (Mean ± SD)
52.7 ± 1.9
49.1 ± 1.9
45.2 ± 1.8
<0.0001
Educational level (N, %)
 Primary school or below
5448 (21.1)
2307 (13.0)
1521 (9.8)
 
 Junior high School
11,926 (46.2)
8669 (48.8)
9466 (61.3)
 
 Senior high school
637 (2.5)
511 (2.9)
3336 (21.6)
 
 Technical school
7334 (28.4)
5905 (33.2)
693 (4.5)
 
 College or above
491 (1.9)
380 (2.1)
436 (2.8)
<0.0001
Marriage status (N, %)
 Single
80 (0.3)
52 (0.3)
32 (0.2)
 
 Married
25,070 (97.0)
17,279 (97.2)
15,052 (97.4)
 
 Remarried
351 (1.4)
243 (1.4)
226 (1.5)
 
 Separate/divorced
163 (0.6)
119 (0.7)
111 (0.7)
 
 Widow
172 (0.7)
79 (0.4)
31 (0.2)
0.0005
Age at menarche <12 years (N, %)
66 (0.3)
50 (0.3)
46 (0.3)
0.41
Irregular cycle (N, %)
7040 (27.3)
3374 (19.0)
2488 (16.1)
<0.0001
Age at menopause ≥55 years (N, %)
96 (0.37)
32 (0.18)
12 (0.08)
<0.0001
Infertility (N, %)
446 (1.7)
282 (1.6)
241 (1.6)
0.17
Age at first birth >35 years (N, %)
122 (0.5)
90 (0.5)
42 (0.5)
0.86
Breastfeeding (N, %)
19,311 (74.7)
14,780 (83.2)
13,241 (85.7)
<0.0001
Estrogen use (N, %)
405 (1.6)
219 (1.2)
223 (1.4)
0.16
Family history of breast cancer (N, %)
297 (1.2)
136 (0.8)
101 (0.7)
<0.0001
During a total of 302, 019 person years of following-up, 373 incident breast cancer patients were identified, including 43 with cancer in situ and 330 with cancer invasive. As shown in Table  2, the incidence of breast cancer in situ and invasive were 19.2 (95%CI: 11.9–30.8) and 115.0 (95%CI: 94.7–139.6) per 100,000, respectively, in women conceived or born during the Great Famine (1959–1962), slightly higher than those in women born before (1955–1958) [13.2 (95%CI: 8.3–20.9) and 109.8 (95%CI: 93.6–128.8) per 100,000] and after the famine (1963–1966) [10.4 (95%CI: 5.2–20.8) and 101.5 (95%CI: 81.3–126.8) per 100,000].
Table 2
Incidence rates of breast cancer by birth year in Chinese women
 
All subjects
( N = 59,060)
Birth year
1955–1958 ( N = 25,836)
1959–1962 ( N = 17,772)
1963–1966 ( N = 15,452)
Cancer in situ
 Person-years
302,019
136,574
88,645
76,800
 No. of cases
43
18
17
8
 Incidence (95%CI)
14.2 (10.6, 19.2)
13.2 (8.3, 20.9)
19.2 (11.9, 30.8)
10.4 (5.2, 20.8)
 Adjusted HR (95%CI)
 
1.00
1.06 (0.73, 1.51)
0.95 (0.53, 1.71)
Invasive cancer
 Person-years
302,129
136,620
88,691
76,817
 No. of cases
330
150
102
78
 Incidence (95%CI)
109.2 (98.0, 121.7)
109.8 (93.6, 128.8)
115.0 (94.7, 139.6)
101.5 (81.3, 126.8)
 Adjusted HR (95%CI)
 
1.00
1.85 (0.69, 1.98)
1.36 (0.25, 7.34)
All breast cancer
 Person-years
302,019
136,574
88,645
76,800
 No. of cases
373
168
119
86
 Incidence (95%CI)
123.5 (111.6, 136.7)
123.0 (105.7, 143.1)
134.2 (112.2, 160.7)
111.9 (90.6, 138.3)
 Adjusted HR (95%CI)
 
1.00
1.13 (0.80, 1.58)
0.98 (0.57, 1.73)
a Adjusted for age (as a continuous variable), educational level (Primary school or below / Middle School / Technical school / High school / College or above, dummy variables), in marriage (yes /no), regular menstrual cycle (yes / no), breastfeeding (ever / never) and family history of breast cancer (yes / no)
After adjusting for potential confounders, we found that the prenatal exposure group had a slightly elevated hazard ratio (HR) of cancer invasive (HR being 1.85, 95%CI: 0.69–1.98) and cancer in situ (HR being 1.06, 95%CI: 0.73–1.51) compared to the post-natal exposure group, while those unexposed to the Famine had a moderate lower risk of cancer in situ (HR being 0.95, 95%CI: 0.53–1.71), but a slightly higher risk of invasive breast cancer (HR being 1.36, 95%CI: 0.25–7.34). However, the associations did not reach statistical significance (Table  2).
We further calculated crude breast cancer incidence by age groups (< 50, 50–52, and ≥53 years). As shown in Table  3, in age group of 50–52 years during which the three subgroups contributed to person years of observation, the incidence of invasive breast cancer was higher in pre-natal exposed women than in post-natal exposed or unexposed women. However, the incidence of cancer in situ was slightly lower in the post-natal group. In age groups of <50 years or ≥53 years, although the wide age range may lead to residual confounding effect, the incidence of breast cancer was also slightly higher in pre-natal exposed women.
Table 3
Age-specific incidence rates of breast cancer by birth year in Chinese women
 
< 50 years old
50~52 years old
≥ 53 years old
PYs
No. of cases
Incidence (95%CI)
PYs
No. of cases
Incidence (95%CI)
PYs
No. of cases
Incidence (95%CI)
Cancer in situ
By birth year
 1955–1958
172
0
0.0
16,415
3
18.3 (5.9, 56.6)
119,986
15
12.5 (7.5, 20.7)
 1959–1962
17,395
5
28.7 (11.9, 68.9)
42,818
4
9.3 (3.5, 24.8)
28,431
8
28.1 (14.0, 56.0)
 1963–1966
62,302
6
9.6 (4.3, 21.4)
14,497
2
13.8 (3.4, 54.9)
Overall
79,870
11
13.8 (7.6, 24.8)
73,731
9
12.2 (6.3, 23.4)
148,418
23
15.5 (10.3, 23.2)
Invasive cancer
By birth year
 1955–1958
172
0
0
16,418
18
109.6 (69.1, 174.0)
120,030
132
109.9 (92.7, 130.4)
 1959–1962
17,399
23
132.2 (87.8, 198.9)
42,838
53
123.7 (94.5, 161.9)
28,453
26
91.3 (62.2, 134.2)
 1963–1966
62,314
66
105.9 (83.2, 134.8)
14,503
12
82.7 (46.9, 145.7)
Overall
79,886
89
111.4 (90.5, 137.1)
73,760
83
112.5 (90.7, 139.5)
148,483
158
106.4 (91.0, 124.4)
All breast cancer
By birth year
 1955–1958
172
0
0
16,416
21
127.9 (83.4, 196.2)
119,987
147
122.5 (104.2, 144.0)
 1959–1962
17,395
28
160.9 (111.1, 233.1)
42,818
57
133.1 (102.7, 172.6)
28,431
34
119.6 (85.5, 167.4)
 1963–1966
62,302
72
115.6 (91.7, 145.6)
14,497
14
96.6 (57.2, 163.1)
Overall
79,870
100
125.2 (102.9, 152.3)
73,731
92
124.8 (101.7, 153.1)
148,418
181
121.9 (105.4, 141.1)
We curved the adjusted cumulative probabilities of breast cancer incidence along with follow-up time by birth years in Fig.  1 and Fig.  2. Women conceived or born during the Great Famine had the highest cumulative probabilities of breast cancer in situ along with the time of following-up, while the post-natal exposure group had the highest cumulative probabilities of invasive breast cancer. We further curved the incidence of breast cancer along with age by the three groups, and found that pre-natal exposure group had higher incidence of invasive cancer before 52 years old and higher incidence of cancer in situ at all ages (figure not shown).
Sensitivity analyses observed similar results. As presented in Table  4, the crude incidence of breast cancer in situ and invasive were 20.5 (95%CI: 11.9–35.3) and 115.2 (95%CI: 91.6–144.9) per 100,000, respectively, in redefined pre-natal exposure group (1960–1962), higher than those in women born before (1955–1959) and after the famine (1963–1966). In age group of 50–52 years old, a higher incidence of breast cancer was also observed in pre-natal exposure women.
Table 4
Sensitivity analysis of age-specific incidence rates of breast cancer by birth year in Chinese women
 
Incidence (95%CI)
<50 years old
50~52 years old
≥ 53 years old
PYs
No. of cases
Incidence (95%CI)
PYs
No. of cases
Incidence (95%CI)
PYs
No. of cases
Incidence (95%CI)
Cancer in situ
By birth year
 1955–1959
13.6 (8.9, 20.6)
1457
0
0
25,904
3
11.6 (3.7, 35.9)
134,518
19
14.1 (9.0, 22.1)
 1960–1962
20.5 (11.9, 35.3)
16,109
5
31.0 (12.9, 74.5)
33,330
4
12.0 (4.5, 31.9)
13,900
4
28.8 (10.8, 76.7)
 1963–1966
10.4 (5.2, 20.8)
62,302
6
9.6 (4.3, 21.4)
14,497
2
13.8 (3.4, 55.15)
Overall
14.2 (10.6, 19.2)
79,870
11
13.8 (7.6, 24.9)
73,731
9
12.2 (6.4, 23.4)
148,418
23
15.5 (10.3, 23.3)
Invasive cancer
By birth year
 1955–1959
110.5 (95.5, 127.9)
1457
1
68.6 (9.7, 487.1)
25,906
29
111.9 (77.8, 161.1)
134,564
149
110.7 (94.3, 130.0)
 1960–1962
115.2 (91.6, 144.9)
16,114
22
136.5 (89.9, 207.3)
33,351
42
125.9 (93.1, 170.4)
13,918
9
 
 1963–1966
101.5 (81.3, 126.8)
62,314
66
105.9 (83.2, 134.8)
14,503
12
82.7 (46.9, 145.7)
Overall
109.2 (98.0, 121.7)
79,885
89
111.4 (90.5, 137.3)
73,759
83
112.5 (90.7, 139.5)
148,483
158
106.4 (91.0, 124.4)
All breast cancer
By birth year
 1955–1959
124.2 (108.1, 142.6)
1457
1
68.6 (9.7, 487.1)
25,903
32
123.5 (87.4, 174.6)
134,518
168
124.9 (107.4, 145.3)
 1960–1962
135.8 (109.9, 167.7)
16,109
27
167.6 (114.9, 244.4)
33,330
46
138.0 (103.4, 184.3)
13,900
13
93.5 (54.3, 161.1)
 1963–1966
111.9 (90.6, 138.3)
62,301
72
115.6 (91.7, 145.6)
14,497
14
96.6 (51.8, 163.0)
Overall
123.5 (111.6, 136.7)
79,870
100
125.2 (102.9, 152.3)
73,731
92
124.8 (101.7, 153.1)
148,418
181
121.9 (105.4, 141.1)

Discussion

The Great Famine in China, which has been viewed as a “natural experiment” in Chinese population, provides us a unique opportunity to evaluate how energy and nutrient deprivation in early life affects the subsequent risk of breast cancer in Chinese women. In this study including 59,060 Chinese women born in 1955–1966, we found that the women exposed to famine during gestation had a slightly higher incidence of breast cancer compared to those born before and after the famine period. The elevated breast cancer incidence in exposed women was observed at age group of 50–52 years, when all participants contributed person-years of observations. However, the associations did not reach statistical significance, suggesting that the effect of extreme malnutrition in early life on subsequent risk of breast cancer may not be profound in this population.
Several biological mechanisms have been proposed to explain the effect of malnutrition in early life on subsequent risk of breast cancer. According to Barker’s “fetal origin” hypothesis, adverse intrauterine conditions may affect human health in later life [ 6], possibly through “programming”, a process that permanently changes body structures and functions during the maturation of organs and systems. The fetus may be particularly susceptible to environmental challenges due to rapidly proliferating tissue and growth pathways. Energy deficiency in early life along with lack of essential nutrients can alter gene expression, leading to slowing of growth [ 29, 30] and elevated risk of diseases in adulthood [ 22, 31, 32], including female breast cancer [ 13, 14, 17]. Another hypothesis is specifically related to breast cancer. Based on existing empirical data, Trichopoulos [ 7] proposed that increased concentrations of oestrogens in pregnancy may increase the probability of future occurrence of breast cancer in female offspring. In other words, it is possible that exposure to decreased concentrations of maternal oestrogens due to malnutrition (such as famine) may decrease subsequent risk of breast cancer in daughters. Caloric deprivation has been observed to decrease the size of ovary as well as the secretion of estrogen in animals [ 33]. Trichopoulos’s hypothesis may help to understand the potential differences in effects of the prenatal and postnatal exposures, because only those prenatal exposed to the famine may have exposed to decreased concentrations of maternal oestrogens.
Our results, although much weaker than those observed in women exposed to the 1944 to 1945 Dutch Famine in early life [ 13, 17], somewhat support the “fetal origin” hypothesis of breast cancer. Unlike the Dutch Hunger Winter which occurred in a previously and subsequently well-nourished population, the Great Famine in China happened in a population who was historically under-nourished [ 34]. Compared to the Dutch Hunger Winter, the Great Leap Forward famine lasted much longer (3 years versus 6 months), involved a far broader geographic area (the whole country of China versus some limited areas of the Netherlands), and caused much higher mortality (a mortality of over 3.0% in China versus a mortality of about 1.5% in the Netherlands during the famine) [ 20, 35, 36]. Even after the famine, a period of insufficient nutrition, but not malnutrition, persisted in China until the 1980s, [ 34, 37]. It is reported that China experienced a sharp reduction in grain production in 1959. The caloric intake in Chinese people declined drastically below the minimum threshold for basic life support during the famine, let alone fruits and vegetables [ 38]. During the Dutch Famine, however, the pregnant or lactating women as well as infants were provided extra foods, maintaining a balanced intake of protein, fat and carbohydrate [ 39]. It is possible that the persistent insufficient nutrition in Chinese population before and even after the Famine may have led to absence of “catch up growth” [ 40], resulting in a weaker positive association of malnutrition in early life with subsequent risk of breast cancer.
The changed reproductive factors may also contribute to the higher risk of breast cancer in exposed women. It has been suggested that famine exposure in early life may influence women’s reproductive performance in later life [ 16, 41]. In this study, we also found that the exposures group had a lower level of education, later age at menopause, irregular menstrual cycle, were more likely to have a family history of breast cancer but less likely in marriage and breast fed, which have been associated with breast cancer risk [ 42, 43]. It is possible that the effect of exposure to famine may partly mediated by the changed reproductive pattern. These mediators were adjusted in the analysis, possibly leading to underestimation of the risk and the swoop between the incidence rate and adjusted HR. Unfortunately, we could not make further evaluations due to lack of detailed information on menstrual and reproductive factors.
The strengths of this study include the relatively large sample size, long-term following-up, and relative homogeneity in reproductive patterns due to the “one child” family plan policy that persisted for more than 30 years from 1978 to 2016 in China.
However, the study has several limitations. First, we used the birth year rather than individual exposure data to define exposed or unexposed groups, which may have led to misclassification bias. Second, the study was not based on a birth cohort, but just included women born between 1955 and 1966. It was estimated that about 15–30 million people starved to death during the Great Famine [ 44]. Fetuses, infants, children and adults in poor health condition were more likely to die in the famine [ 45]. Survival bias cannot be excluded, which may have biased the associations between exposure to the Famine and subsequent risk of breast cancer towards null. Furthermore, women in unexposed group were much younger than those in other two subgroups. They did not reach the peak age at diagnosis with breast cancer, which was usually at 55–59 years old in Chinese women [ 46], much younger than those in western women [ 47]. Residual confounding effect of age cannot be eliminated. However, the increased age-specific incidence of breast cancer at 50–52 years in prenatal exposure group partly released our concern because at the age group all three subgroups contributed to person years of observation. Finally, we did not collect detailed information on menopausal status, number of live birth, alcohol consumption, cigarette smoking, body mass index (BMI) and some other risk factors of breast cancer, which may represent important confounding effects. Nevertheless, given low rates of alcohol consumption and cigarette smoking in Chinese women, postmenopausal status in majority of our subjects and possible mediation effects of the factors, these factors were not likely as important confounders in this study.

Conclusions

In summary, our finding of a non-statistically significant higher incidence of breast cancer in Chinese women exposed to the Great Famine suggests a potential moderate effect of malnutrition in early life on subsequent risk of breast cancer. Longer following-up of this cohort of women is warranted to confirm our results.

Acknowledgements

The authors would like to thank the study participants and the staff members of communities in Minhang district of Shanghai, China, for their contribution to the study. The work reported in this paper was undertaken while hosted as a Senior Visiting Scientist at the International Agency for Research on Cancer, Lyon, France.

Funding

This study was supported by the Shanghai Municipal Commission of Health and Family Planning (15GWZK0801) and by the Natural Science Foundation of Shanghai, China (12ZR1448700). The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Ethics approval and consent to participate

All procedures involving human participants were in accordance with the Ethical standards of and approved by the Institutional Review Board (IRB) of the Center for Disease Prevention and Control of Minhang district, Shanghai, China. Due to written consent for any subsequent health surveys and health services has been obtained from all participants when they were registered in the electronic health record system of Minhang district, verbal consent was obtained from each participant for this specific study. The Ethics committee/IRB also approved obtaining verbal consent.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interest.

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