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Published in final edited form as: Fertil Steril. 2011 Mar 3;95(6):1922–1927.e1. doi: 10.1016/j.fertnstert.2011.02.002

DECREASED FERTILITY AMONG FEMALE CHILDHOOD CANCER SURVIVORS WHO RECEIVED 22 TO 27 Gy HYPOTHALAMIC/PITUITARY IRRADIATION. A REPORT FROM THE CHILDHOOD CANCER SURVIVOR STUDY

Daniel M Green a, Vikki G Nolan a, Toana Kawashima b, Marilyn Stovall c, Sarah S Donaldson d, DeoKumar Srivastava e, Wendy Leisenring b, Leslie L Robison a, Charles A Sklar f
PMCID: PMC3080448  NIHMSID: NIHMS273748  PMID: 21376314

Abstract

Objective

To evaluate the effect of hypothalamic/pituitary radiation dose on the occurrence of first pregnancy

Design

Retrospective cohort study of childhood cancer five-year survivors (CCS) diagnosed between 1970 and 1986 prior to 21 years of age at one of 26 North American pediatric cancer treatment centers

Setting

Self-administered questionnaire

Patient(s)

3619 female CCS who participated in the Childhood Cancer Survivor Study and received no/scatter (≤ 0.1 Gy) radiation to the ovaries and 2081 female siblings (Sibs) of the participants

Intervention(s)

None

Main Outcome Measure(s)

Self-reported pregnancy events

Result(s)

As a group CCS were as likely to report being pregnant as Sibs (Hazard Ratio (HR), 1.07; 95% Confidence Interval (95%CI), 0.97 to 1.19). Multivariable models showed a significant decrease in the risk of pregnancy with HPT RT doses ≥ 22 Gy compared with those CCS receiving no HPT RT.

Conclusion(s)

These results support the hypothesis that exposures of 22 to 27 Gy HPT RT may be a contributing factor to infertility among female CCS.

Keywords: childhood cancer survivor, hypothalamic irradiation, pituitary irradiation, alkylating agent, pregnancy

INTRODUCTION

Survivors of childhood cancer are less likely to report pregnancy than their siblings (1, 2) or population controls (3). Factors associated with decreased pregnancy and/or live birth rates have included testicular radiation dose > 7.5 Gy (2), ovarian radiation dose > 5 Gy (1), treatment with higher doses of alkylating agents (1, 2) and, for females only, hypothalamic/pituitary (HPT) irradiation dose ≥ 30 Gy (1).

Bath et al. reported that luteininzing hormone (LH) excretion, evaluated using daily early morning urine samples from day 1 of a menstrual cycle for a minimum of two cycles, was decreased in acute lymphoblastic leukemia (ALL) patients treated with 24 Gy cranial radiation therapy (CRT) compared to controls. Moreover, the luteal phase was significantly shorter in ALL patients than non-cancer controls, with a high frequency of short (≤ 11 days) luteal phases in the ALL patients (4). These data demonstrated that luteal phase deficiency occurred in some menstrual cycles of some female ALL survivors who received prophylactic CRT.

Luteal phase deficiency (LPD) is a controversial syndrome and is considered as causal or contributory in cases of failed implantation, infertility and early pregnancy loss (5). The pathophysiological basis of LPD is reported to involve disorders including those where the luteal phase is short and lasts less than 10 days. Patients diagnosed with LPD exhibit lower circulating progesterone concentrations in the 14 days following ovulation if pregnancy does not occur (5, 6). In light of recent studies on the reliability and reproducibility of endometrial histology (7, 8), a shortened luteal phase may be the only objective evidence of LPD.

The present analysis was conducted to determine if HPT radiation therapy (RT) < 30 Gy was associated with a lower risk of pregnancy in women who had received no or very low (< 0.10 Gy) RT doses to the ovaries.

PATIENTS AND METHODS

A cohort of 20,720 previously untreated patients (females − 9,253) who were less than 21 years of age at diagnosis, survived for at least 5 years after the date of diagnosis, and were diagnosed with an eligible cancer between January 1, 1970 and December 31, 1986 was identified at the 26 participating institutions of the Childhood Cancer Survivor Study (CCSS). The study design, cohort characteristics and baseline data collection are presented in detail elsewhere (911).

The CCSS collected data for all surgical procedures performed for cancer treatment. In addition, participants and siblings were asked about additional surgical procedures performed and the methods employed for contraception, including tubal ligation and vasectomy. Those participants or their partners who underwent an operation that resulted in sterilization (eg, tubal ligation, hysterectomy, vasectomy) prior to pregnancy were classified as surgically sterile as a result of contraceptive or non-contraceptive reasons and were excluded from this analysis. Because this is a questionnaire-based study, values for biological markers such as follicle stimulating hormone or anti-Mullerian hormone were not obtained.

Permission was requested from a random sample of the cohort to contact their nearest age sibling (11). Four thousand twenty-three (83%) participated among 4848 eligible siblings. These siblings were used as controls for comparisons to survivors in the CCSS cohort.

This study was approved by the Institutional Review Board at each participating institution, and informed consent for participation was obtained from all subjects who were 18 or more years of age, or their parents, if the subject was less than 18 years of age.

EXPOSURE ASSESSMENT

Detailed data regarding the chemotherapeutic agents administered to the patient for treatment of the original cancer, and for any recurrences of the cancer, the cumulative dose of drug administered for several drugs of interest, and the doses, volumes and dates of administration of all RT were abstracted from medical records for 12,954 of those who completed the baseline questionnaire (11). The distribution of cumulative doses for each of the agents was divided into tertiles. The alkylating agent dose (AAD) score was calculated by adding the tertile score (1, 2 or 3) (1) for each of the alkylating agents given to a particular patient (12). An AAD score of 0 was assigned to non-exposed patients.

RT dose to the ovaries and pituitary was determined for each patient (1). Details of the dosimetry methods are described in Stovall et al (13, 14). The present analysis included only CCSS participants whose ovarian radiation dose was < 0.1 Gy.

STATISTICAL METHODS

Cox proportional hazard models with age as the time-scale were used to compare hazards of a pregnancy between same age subjects as previously described in Yasui et al.(15). Subjects entered the risk set for regression analyses at the age at which they entered the CCSS cohort (5 years after date of diagnosis of primary cancer), and were followed until the minimum age of first pregnancy, death, or completion of baseline questionnaire, whichever came first. To create a similar age-based follow-up period, siblings were assigned a pseudo diagnosis date corresponding to the age of their survivor sibling at diagnosis of their primary cancer and identical methods were used to define their time-to-event variables. Within family correlation was accounted for with the use of sandwich standard-error estimates (16). Multiple-imputation methodology for event-time imputations (17, 18) was employed for those who reported one or more pregnancies, but did not report their age at first pregnancy. Age at first pregnancy was available for 89% (904/1019) of CCS and for 93% (908/979) of siblings, and was imputed for the remaining 11% (115/1019) of female CCS and for the remaining 7% (71/979) of female siblings. As spontaneous abortion might also be expected with luteal phase deficiency, we studied time to first miscarriage as an outcome. Unfortunately we were missing age at first miscarriage for one-third of the women who reported a miscarriage. When more than 20% of the values are missing, imputation is unreliable. Therefore we could not analyze the miscarriage data using the same methods that were used for the overall analysis – i.e. looking at time to first miscarriage.

Two sets of models were evaluated. The first compared fertility for CCS versus siblings, controlling for education level, marital status, age at diagnosis (or pseudo age at diagnosis), race/ethnicity and smoking status. A second set of models among CCS only, evaluated the impact of demographic and treatment variables. Candidate treatment variables evaluated included summed AAD score, HPT RT dose, and the following individual chemotherapy agents - actinomycin D, BCNU, CCNU, cyclophosphamide, cis-platinum, cytosine arabinoside, daunorubicin, doxorubicin, DTIC, nitrogen mustard, procarbazine, vinblastine, vincristine, VM-26 (Teniposide), VP-16 (Etoposide), thio-tepa, ifosfamide, and melphalan. Univariable and multivariable analyses were carried out, with final treatment variables included in the multivariable model that were significant at the 0.1 level or that markedly influenced (>10% change) the effect of another factor in the model (confounder).

RESULTS

We evaluated the occurrence of pregnancy in 3619 female CCS and 2081 females in the sibling cohorts. The CCS cohort was younger (p < 0.001), less likely to have a bachelor’s degree or higher (p < 0.001), more likely to have never been married (p < 0.001) and more likely to have never smoked (p < 0.001) than the sibling cohort (Table 1).

Table 1.

Demographic and Treatment Characteristics of Female Survivors and Siblings

Survivors (n = 3619) Siblings (n = 2081)
N % N % p-value
Race/Ethnicity
 Non-Hispanic White 3160 88 1802 89 <0.156
 Hispanic 189 5 86 4
 Non-Hispanic Black 145 4 65 3
 Other 113 3 61 3
Smoking Status
 Never smoked 2739 80 1314 65 < 0.001
 Current smoker 417 12 396 20
 Former smoker 276 8 304 15
Marital Status
 Never married 2226 65 850 42 <0.001
 Currently married 977 29 1014 50
 Formerly married 197 6 148 7
Education Level
 No High School or GED 1345 39 462 23 <0.001
 High School or GED 495 15 294 15
 Some college no bachelor’s degree 871 25 588 29
 Bachelor’s degree or higher 703 21 660 33
Age at Baseline in years
 5–19 1554 43 526 25 <0.001
 20–24 778 22 357 17
 25–29 623 17 409 20
 30–34 418 12 343 16
 35–39 193 5 260 12
 40–44 51 1 127 6
 45–49 2 <1 48 2
 50–54 0 0 11 1
Age at Diagnosis in years
 0–4 1614 45
 5–9 764 21
 10–14 713 20
 15–19 467 13
 20 61 2
Primary Diagnosis
 Leukemia 1669 46
 CNS 451 12
 HD 167 5
 NHL 169 5
 Wilms 198 5
 Neuroblastoma 266 7
 Soft tissue sarcoma 318 9
 Osteosarcoma 381 11
Radiation – Hypothalamic/pituitary dose
 0 1960 54
 > 0 to < 1500 cGy 399 11
 ≥1500 to < 2200 cGy 526 15
 ≥ 2200 to < 2700 cGy 462 13
 ≥ 2700 cGy 258 7
Oophoropexy
 No 3591 99
 Yes 28 1
Summed AAD **
 0 1851 54
 1 458 13
 2 444 13
 3 452 13
 4 100 3
 5 77 2
 6–11 53 2
Actinomycin D#
 No 3018 84
 Yes 579 16
BCNU#
 No 3476 97
 Yes 121 3
CCNU#
 No 3531 98
 Yes 66 2
Chlorambucil#
 No 3587 99
 Yes 10 < 1
Cis-Platinum#
 No 3302 92
 Yes 295 8
Cyclophosphamide#
 No 1639 46
 Yes 1958 54
Cytosine arabinoside#
 No 2421 67
 Yes 1176 33
Daunorubicin#
 No 3058 85
 Yes 539 15
Doxorubicin#
 No 2518 70
 Yes 1079 30
DTIC#
 No 3481 97
 Yes 116 3
Ifosfamide#
 No 3572 99
 Yes 25 1
Melphalan#
 No 3563 99
 Yes 34 1
Nitrogen mustard#
 No 3487 97
 Yes 110 3
Procarbazine#
 No 3439 96
 Yes 158 4
Thiotepa#
 No 3582 99
 Yes 15 < 1
Vinblastine#
 No 3527 98
 Yes 70 2
Vincristine#
 No 1012 28
 Yes 2585 72
VM-26#
 No 3391 94
 Yes 206 6
VP-16#
 No 3368 94
 Yes 229 6
**

Alkylating Agent Dose;

#

Number of missing=22.

Adjusted for age at diagnosis, marital status, educational attainment, race/ethnicity, and smoking status, the hazard ratio (HR) of a survivor ever being pregnant was 1.07 (95% CI, 0.97 to 1.19), compared to the sibling cohort. In univariable models restricted to the survivors, of the exposure variables, only the higher HPT RT categories (≥ 22 to < 27 Gy and ≥ 27 Gy), treatment with CCNU or actinomycin D were statistically significant (Table 2).

Table 2.

Univariable Hazard Ratio of Fertility among Female Survivors of Childhood Cancer Who Were Not Surgically Sterile

HR 95% CI p-value
Race/Ethnicity
 Non-Hispanic White 1.00
 Hispanic 1.46 1.14, 1.86 0.002
 Non-Hispanic Black 1.00 0.79, 1.28 0.974
 Other 1.01 0.74, 1.38 0.933
Smoking Status
 Never smoked 1.00
 Current smoker 1.98 1.76, 2.23 <0.001
 Former smoker 1.53 1.35, 1.75 <0.001
Marital Status
 Never married 1.00
 Currently married 5.46 4.66, 6.39 <0.001
 Formerly married 4.81 3.91, 5.93 <0.001
Education Level
 High School or GED 1.00
 No High School or GED 1.27 1.03, 1.57 0.027
 Some college no bachelor’s degree 0.83 0.72, 0.95 0.006
 Bachelor’s degree or higher 0.47 0.41, 0.54 <0.001
Age at Diagnosis in years
 0–4 1.00
 5–9 0.92 0.79, 1.07 0.267
 10–14 0.99 0.86, 1.14 0.915
 15–19 0.92 0.78, 1.08 0.301
 20 0.99 0.70, 1.42 0.975
Oophoropexy
 No 1.00
 Yes 0.80 0.43, 1.51 0.498
Hypothalamic/pituitary Radiation Dose
 0 1.00
 > 0 to < 1500 cGy 0.93 0.76, 1.14 0.481
 ≥ 1500 to < 2200 cGy 0.81 0.63, 1.03 0.081
 ≥ 2200 to < 2700 cGy 0.67 0.55, 0.81 <0.001
 ≥ 2700 cGy 0.49 0.36, 0.67 <0.001
Alkylating Agent Dose summed Score
 0 1.00
 1 0.98 0.77, 1.25 0.855
 2 1.07 0.87, 1.31 0.544
 3 0.92 0.74, 1.14 0.452
 4 0.67 0.43, 1.02 0.062
 5 1.33 0.88, 2.00 0.175
 6 – 11 0.75 0.45, 1.26 0.278
Actinomycin D
 No 1.00
 Yes 1.20 1.00, 1.44 0.056
BCNU
 No 1.00
 Yes 0.77 0.53, 1.12 0.172
CCNU
 No 1.00
 Yes 0.48 0.25, 0.94 0.032
Chlorambucil
 No 1.00
 Yes 0.63 0.20, 1.96 0.425
Cis-Platinum
 No 1.00
 Yes 1.15 0.91, 1.46 0.236
Cyclophosphamide
 No 1.00
 Yes 0.99 0.86, 1.13 0.859
Cytosine arabinoside
 No 1.00
 Yes 0.94 0.80, 1.10 0.418
Daunorubicin
 No 1.00
 Yes 0.92 0.74, 1.15 0.486
Doxorubicin
 No 1.00
 Yes 1.07 0.93, 1.23 0.362
DTIC
 No 1.00
 Yes 0.90 0.58, 1.38 0.617
Ifosfamide
 No 1.00
 Yes 1.15 0.46, 2.85 0.762
Melphalan
 No 1.00
 Yes 1.07 0.60, 1.91 0.815
Nitrogen mustard
 No 1.00
 Yes 0.84 0.58, 1.20 0.338
Procarbazine
 No 1.00
 Yes 0.94 0.71, 1.25 0.660
Thiotepa
 No 1.00
 Yes 0.92 0.30, 2.86 0.885
Vinblastine
 No 1.00
 Yes 1.09 0.72, 1.65 0.682
Vincristine
 No 1.00
 Yes 1.02 0.89, 1.18 0.740
VM-26
 No 1.00
 Yes 0.76 0.49, 1.18 0.219
VP-16
 No 1.00
 Yes 1.13 0.79, 1.60 0.507

Multivariable models among survivors were developed to study the effect of HPT RT adjusted for demographic and treatment variables. Variables included in the multivariable model were significant at the 0.1 level (race, smoking status, marital status, education, age at diagnosis and VP-16) or markedly influenced (>10% change) the effect of HPT RT (Actinomycin-D). CCNU, despite being significant in univariable analyses, was not included in the final model because it did not remain significant when adjusted for other treatment variables and did not substantially influence the effect of HPT RT. The final multivariable model showed adverse effect of HPT RT on the risk of pregnancy. The effect of HPT RT was not apparent until the threshold dose of 22 Gy was exceeded (> 0 to < 15 Gy - HR, 0.88; 95%CI, 0.71 to 1.10; ≥ 15 to < 22 Gy - HR, 1.04; 95%CI, 0.79 to 1.36; ≥ 22 to < 27 Gy - HR, 0.67; 95%CI, 0.53 to 0.84; ≥ 27 Gy - HR, 0.65; 95%CI, 0.46 to 0.92) (Table 3).

Table 3.

Multivariable Hazard Ratio of Fertility among Female Survivors of Childhood Cancer Who Were Not Surgically Sterile

HR* 95% CI p-value
Race/Ethnicity
 Non-Hispanic White 1.00
 Hispanic 1.00 0.70, 1.43 0.995
 Non-Hispanic Black 2.81 2.01, 3.93 <0.001
 Other 1.04 0.66, 1.65 0.857
Smoking Status
 Never smoked 1.00
 Current smoker 1.61 1.33, 1.95 <0.001
 Former smoker 1.15 0.93, 1.42 0.187
Marital Status
 Never married 1.00
 Currently married 5.98 4.83, 7.41 <0.001
 Formerly married 3.70 2.76, 4.97 <0.001
Education
 High school/GED 1.00
 No High school/GED 1.38 1.02, 1.86 0.037
 Some college 0.87 0.71, 1.06 0.164
 Bachelor or higher 0.48 0.39, 0.60 <0.001
Age at diagnosis (years)
 0 – 4 1.00
 5–9 0.76 0.60, 0.97 0.028
 10–14 0.83 0.66, 1.05 0.114
 15–19 0.63 0.47, 0.84 0.002
 20 0.96 0.55, 1.68 0.896
Hypothalamic/pituitary Radiation Dose
 0 1.00
 > 0 to < 1500 cGy 0.88 0.71, 1.10 0.261
 ≥ 1500 to < 2200 cGy 1.04 0.79, 1.36 0.793
 ≥ 2200 to < 2700 cGy 0.67 0.53, 0.84 0.001
 ≥ 2700 cGy 0.65 0.46, 0.92 0.014
Actinomycin D
 No 1.00
 Yes 1.18 0.96, 1.44 0.112
VP-16
 No 1.00
 Yes 1.54 1.06, 2.24 0.023

DISCUSSION

We undertook the present analysis to determine if there was an effect of lower dose (< 30 Gy) HPT RT on the risk of pregnancy among female participants in the CCSS who had received no or very low (< 0.1 Gy) doses of ovarian RT. We identified a decreased risk of pregnancy among those who had received HPT RT doses of ≥ 22 Gy.

The normal menstrual cycle consists of the follicular phase and the luteal phase. The onset of the luteal phase is defined by a surge of LH release which coincides with ovulation (19). When fertilization has occurred, post-ovulatory progesterone production is maintained by pituitary LH secretion until implantation occurs, at which time placental human chorionic gonadotropin (HCG) stimulation of the corpus luteum maintains progesterone levels (20, 21).

Luteal phase deficiency or delayed endometrial maturation, resulting from a subnormal mid-cycle LH ”surge” and inadequate progesterone production from the corpus luteum (2224) may be one of the causal factors for implantation failure and early pregnancy loss (5) and recurrent miscarriage (25). Horta et al. demonstrated an increased frequency of low progesterone levels in the luteal phase, based on basal body temperature records, among women with a history of habitual abortion (25). Li et al. defined the luteal phase on the basis of basal body temperature records and reported that the mid-luteal progesterone was < 30 nmol/L in 17.4% of 144 women with a history of recurrent, consecutive, first trimester miscarriages (26). Jordan et al., utilizing the integrated serum progesterone level (sum of daily serum progesterone levels from the day after the LH surge to the day before the next menstrual period), defined luteal phase deficiency as an integrated serum progesterone level < 80 ng-days/ml. The basal body temperature record was an insensitive predictor of luteal phase deficiency in this study and timed endometrial biopsy was only modestly sensitive, identifying only 57% of those with an integrated serum progesterone level < 80 ng-days/ml (7).

It is important to note however that several studies have shown that variability in the length of the luteal phase may be normal, even among fertile women (7). Furthermore detailed data concerning endometrial histology have indicated that substantial variability in the histological characteristics of secretory phase endometrium is also normal (7) and have demonstrated that traditional histological dating of the endometrium is not a valid clinical diagnostic tool. It has not been possible in the current questionnaire based study of childhood survivors to perform evaluation of endometrial histology, which would not be indicated based on these data. The delayed endometrial morphological development reported with LPD does not reflect circulating progesterone concentrations (5). Low circulating luteal phase progesterone concentrations may however have important consequences upon subtle aspects of endometrial function at the time of required receptivity.

Bath et al. reported that LH excretion, evaluated using daily early morning urine samples from day 1 of a menstrual cycle for a minimum of two cycles, was decreased in acute lymphoblastic leukemia (ALL) patients treated with 24 Gy CRT compared to controls. Moreover, the luteal phase was significantly shorter in ALL patients than normal controls (12.2 ± 0.3 days versus 13.6 ± 0.4 days; p = 0.01), with a high frequency of short (≤ 11 days) luteal phases in the ALL patients (4). These data demonstrated that luteal phase deficiency occurred in some menstrual cycles of some female ALL survivors who received prophylactic CRT.

There is some evidence that female survivors of acute leukemia are less likely to have liveborn infants. Nygaard et al. reported that the cumulative percentage of female ALL survivors who reported a pregnancy by age 25 years was 41.0% (95% CI, 21.9 to 60.1) for those treated with chemotherapy only and was 18.4% (95% CI, 3.0 to 33.8) (p = 0.043) for those whose treatment included both chemotherapy and prophylactic CRT(18 to 24 Gy) (27). Byrne at al. reported that the unadjusted fertility rate for female survivors of ALL was significantly lower than that of their siblings. They were unable to demonstrate an effect of treatment with an alkylating agent on the first pregnancy rates, but did demonstrate that the risk of first pregnancy was decreased (relative risk=, 0.27; 95% CI, 0.09 to 0.82) (p = 0.03) among those whose age at first pregnancy was 18 to 21 years and who received prophylactic CRT (18 to 24 Gy) within two years of menarche (28).

Early pregnancy loss, such as could occur in the presence of luteal phase deficiency, can be difficult to diagnose. Wilcox et al. reported that 22% (43/198) of biochemically documented pregnancies were clinically unrecognized (29). Vaginal bleeding following pregnancy loss before six weeks of gestation was 0.4 days longer than a woman’s average menstrual bleed, but was associated with less blood loss. These events are unlikely to be recognized by the women as loss of pregnancies (30). The impact of these events could only be demonstrated if the fertility of a sufficiently large population of women at risk due to lower dose (< 30 Gy) HPT RT, such as the participants in the CCSS, could be studied.

This study has a number of strengths. The CCSS is the largest, most thoroughly characterized cohort of survivors of cancer diagnosed during childhood or adolescence and utilizes a sibling comparison group. Thus, important questions regarding the frequency of outcomes that may be modified by treatment exposures, as well as the relationship of these exposures to significant, though uncommon, late events can be evaluated with substantial statistical power.

There are certain limitations that must be taken into account when interpreting our data. The subjects were ascertained retrospectively, with 15% of the eligible subjects lost to follow-up and 16% declining participation. Participants, however, did not differ from non-participants with regard to demographics or cancer and treatment characteristics (11). The CCSS utilized self-administered questionnaires for ascertainment of pregnancy-related outcomes.

We have demonstrated that fertility is impaired in female CCS who received modest doses (22 to 27 Gy) of HPT RT and no or very low (< 0.1 Gy) doses of ovarian RT. The results suggest that an additional mechanism, luteal phase deficiency, may contribute to infertility. These data may be utilized to counsel patients and their parents prior to initiation of treatment and to guide evaluation of infertility in female CCS who received low-dose HPT irradiation.

Acknowledgments

Supported in part by United States Public Health Service grant no. CA-55727 (L.L. Robison, Principal Investigator) and CA-21765 (M.B. Kastan, Principal Investigator), support provided to the University of Minnesota Cancer Center from the Children’s Cancer Research Fund and support provided to St. Jude Children’s Research Hospital by the American Lebanese Syrian Associated Charities (ALSAC). We thank Hillary O. Critchley, MD and Bruce Lessey, PhD, MD for their review and comments on this manuscript.

Appendix

The Childhood Cancer Survivor Study (CCSS) is a collaborative, multi-institutional project, funded as a resource by the National Cancer Institute, of individuals who survived five or more years after diagnosis of childhood cancer.

CCSS is a retrospectively ascertained cohort of 20,346 childhood cancer survivors diagnosed before age 21 between 1970 and 1986 and approximately 4,000 siblings of survivors, who serve as a control group. The cohort was assembled through the efforts of 26 participating clinical research centers in the United States and Canada. The study is currently funded by a U24 resource grant (NCI grant # U24 CA55727) awarded to St. Jude Children’s Research Hospital. Currently, we are in the process of expanding the cohort to include an additional 14,000 childhood cancer survivors diagnosed before age 21 between 1987 and 1999. For information on how to access and utilize the CCSS resource, visit www.stjude.org/ccss

CCSS Institutions and Investigators
St. Jude Children’s Research Hospital, Memphis, TN Leslie L. Robison, PhD#, Melissa Hudson, MD*
Greg T. Armstrong, MD, MSCE , Daniel M. Green, MD
Kevin R. Krull, PhD
Children’s Healthcare of Atlanta/Emory University Atlanta, GA Lillian Meacham, MD*, Ann Mertens, PhD
Children’s Hospitals and Clinics of Minnesota Minneapolis St. Paul, MN Joanna Perkins, MD, MS*
Seattle Children’s Hospital, Seattle, WA Scott Baker, MD*, Eric Chow, MD, MPH
Children’s Hospital, Denver, CO Brian Greffe, MD*
Children’s Hospital Los Angeles, CA Kathy Ruccione, RN, MPH*
Children’s Hospital, Oklahoma City, OK John Mulvihill, MD*
Children’s Hospital of Orange County, Orange, CA Leonard Sender, MD*
Children’s Hospital of Philadelphia, Philadelphia, PA Jill Ginsberg, MD*, Anna Meadows, MD
Children’s Hospital of Pittsburgh, Pittsburgh, PA Jean Tersak, MD *
Children’s National Medical Center, Washington, DC Gregory Reaman, MD*, Roger Packer, MD
Cincinnati Children’s Hospital Medical Center Cincinnati, OH Stella Davies, MD, PhD*
City of Hope Medical Center, Los Angeles, CA Smita Bhatia, MD *
Cook Children’s Medical Center, Ft. Worth, TX Paul Bowman, MD, MPH*
Dana-Farber Cancer Institute/Children’s Hospital Boston, MA Lisa Diller, MD*
Fred Hutchinson Cancer Research Center, Seattle, WA Wendy Leisenring, ScD*
Hospital for Sick Children, Toronto, ON Mark Greenberg, MBChB*, Paul C. Nathan, MD*
International Epidemiology Institute, Rockville, MD John Boice, ScD*
Mayo Clinic, Rochester, MN Vilmarie Rodriguez, MD*
Memorial Sloan-Kettering Cancer Center, New York, NY Charles Sklar, MD*, Kevin Oeffinger, MD
Miller Children’s Hospital, Long Beach, CA Jerry Finklestein, MD*
National Cancer Institute, Bethesda, MD Roy Wu, PhD, Nita Seibel, MD, Preetha Rajaraman, PhD, Peter Inskip, ScD Julia Rowland, PhD
Nationwide Children’s Hospital, Columbus, Ohio Amanda Termuhlen, MD*, Sue Hammond, MD
Northwestern University, Chicago, IL Kimberley Dilley, MD, MPH*
Riley Hospital for Children, Indianapolis, IN Terry A. Vik, MD*
Roswell Park Cancer Institute, Buffalo, NY Denise Rokitka, MD, MPH*
St. Louis Children’s Hospital, St. Louis, MO Robert Hayashi, MD*
Stanford University School of Medicine, Stanford, CA Neyssa Marina, MD *, Sarah S. Donaldson, MD
Texas Children’s Hospital, Houston, TX Zoann Dreyer, MD*
University of Alabama, Birmingham, AL Kimberly Whelan, MD, MSPH*
University of Alberta, Edmonton, AB Yutaka Yasui, PhD*
University of California-Los Angeles, CA Jacqueline Casillas, MD, MSHS*, Lonnie Zeltzer, MD
University of California-San Francisco, CA Robert Goldsby, MD*
University of Chicago, Chicago, IL Tara Henderson, MD, MPH*
University of Michigan, Ann Arbor, MI Raymond Hutchinson, MD*
University of Minnesota, Minneapolis, MN Daniel Mulrooney, MD, MS*, Joseph Neglia, MD, MPH
University of Southern California, Los Angeles, CA Dennis Deapen, DrPH *
UT-Southwestern Medical Center, Dallas, TX Daniel C. Bowers, MD*
U.T.M.D. Anderson Cancer Center, Houston, TX Louise Strong, MD*, Marilyn Stovall, MPH, PhD
*

Institutional Principal Investigator

Member CCSS Steering Committee

#

Project Principal Investigator (U24 CA55727)

Footnotes

Drs. Green, Nolan, Kawashima, Stovall, Donaldson, Srivastava, Leisenring, Robison and Sklar, have no potential conflicts of interest, including specific financial interests, relationships or affiliations relevant to the subject of this manuscript.

The data in this report were presented in part at the 2010 Annual Meeting of the American Society of Clinical Oncology, June 4 – 8, 2010 in Chicago, Illinois

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