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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Cancer Epidemiol Biomarkers Prev. Author manuscript; available in PMC 2011 January 1.
Published in final edited form as:
PMCID: PMC2805162
NIHMSID: NIHMS152144

Cardiovascular Risk Factors in Adult Survivors of Pediatric Cancer – a report from the Childhood Cancer Survivor Study

Abstract

Background

Childhood cancer survivors are at higher risk of morbidity and mortality from cardiovascular (CV) disease compared with the general population.

Methods

8,599 survivors (52% male) and 2,936 siblings (46% male).from the Childhood Cancer Survivor Study (CCSS), a retrospectively ascertained – prospectively followed study of persons who survived 5 years after childhood cancer diagnosed from 1970–1986 were evaluated for BMI ≥30 kg/m2 based on self reported heights and weights and self-reported use of medications for hypertension, dyslipidemia, and impaired glucose metabolism. The presence of ≥3 of the above constituted Cardiovascular Risk Factor Cluster (CVRFC) a surrogate for Metabolic Syndrome

Results

Survivors were more likely than siblings to take medications for hypertension (OR 1.9 95% CI 1.6–2.2), dyslipidemia (OR 1.6 95% CI 1.3–2.0) or diabetes (OR 1.7 95% CI 1.2–2.3). Among these young adults (mean age 32 years for survivors and 33 years for siblings) survivors were not more likely than siblings to be obese or have CVRFC. In a multivariable logistic regression analysis, factors associated with having CVRFC included: older age at interview (≥ 40 vs. < 30 years of age [OR 8.2 95% CI 3.5–19.9]), exposure to total body irradiation (OR 5.5 95% CI 1.5–15.8) or radiation to the chest and abdomen (OR 2.3 95% CI 1.2–2.4), and physical inactivity (OR 1.7 95% CI 1.1–2.6).

Conclusions

Among adult survivors of pediatric cancer, older attained age, exposure to TBI or abdominal plus chest radiation, and a sedentary lifestyle are associated with CVRFC.

Keywords: survivor, cardiovascular risk factors, metabolic syndrome

Introduction

As childhood cancer survivors are being followed long-term, chronic health conditions directly related to their cancer therapies are being observed. Oeffinger et al. recently reported that, thirty years after diagnosis, almost three-fourths of survivors followed through the Childhood Cancer Survivor Study (CCSS) were found to have at least one chronic health condition (1). Of interest, the risk of cardiovascular (CV) disease was approximately 10 times higher in cancer survivors than in siblings. In the general adult population, the risk of CV disease is significantly increased among individuals who have the cardiovascular disease risk factors (CVRF) that comprise the metabolic syndrome (2). Metabolic syndrome (MetS) is a clustering of physiologic disturbances defined in slightly different ways by different medical and healthcare associations; however, each definition includes measures of obesity, hypertension, dyslipidemia and insulin resistance (Table 1) (36). Early diagnosis of MetS or its component risk factors has been advocated so that both medical and behavioral interventions may be employed to prevent or reduce the associated CV sequelae.

Table 1
Definition of Metabolic Syndrome / Cardiovascular Risk Factor Cluster

There is a growing body of evidence that indicates that pediatric cancer survivors are at a greater risk of developing MetS or MetS-component traits than are members of the general population (712). The Children’s Oncology Group Long-Term Follow-Up Guidelines for Survivors of Pediatric, Adolescent and Young Adult Cancers (COG Guidelines) delineate risk of late effects based on cancer therapeutic exposures (13). In the COG guidelines, MetS is a potential late effect after total body and cranial irradiation (7). Among component traits, obesity has been most thoroughly studied. It is observed more commonly among leukemia and central nervous system tumor survivors, particularly among females exposed to cranial irradiation at a young age (1416). Dyslipidemia is described in adults treated with platinum agents (17). Hypertension is associated with renal damage secondary to either chemotherapy or radiation (1719). Cardiac disease is seen after treatment with anthracycline antibiotics or cardiac radiation (20, 21). In addition to the increased risk of MetS components, survivors of childhood cancers are reported to be at increased risk for CV morbidity/mortality when compared to non-cancer controls (22, 23).

Because of the growing awareness that childhood cancer survivors are likely to be at increased risk of developing MetS and to suffer increased morbidity/mortality as a result of CV disease, the objectives of this study are to utilize the large CCSS cohort to determine the prevalence of and factors associated with the development of Cardiovascular Risk Factor Cluster (CVRFC).

Methods

Subject selection and contact

The CCSS is a multi-institutional study of individuals who survived five or more years following treatment for cancer diagnosed during childhood or adolescence. Eligibility criteria for this study were: a) diagnosis of leukemia, CNS tumors (excluding craniopharyngiomas), Hodgkin lymphoma, non-Hodgkin lymphoma, kidney tumor, neuroblastoma, soft tissue sarcoma, or bone tumor; b) diagnosis and initial treatment at one of the 26 collaborating CCSS institutions; c) diagnosis date between 1970 and 1986; d) age less than 21 years at diagnosis and e) survival five or more years from diagnosis. Survivors who had a recurrence or second malignancy were excluded from this analysis. CCSS protocol and contact documents were reviewed and approved by the Human Subjects Committee at each participating institution. Details of study design and cohort characteristics have been described elsewhere (24). Briefly, baseline data were collected for survivors and siblings using a 24-page baseline questionnaire in 1995–1996. The questionnaire was designed to capture a wide range of information including demographic characteristics, health habits, and frequency of diagnosed medical conditions. A follow-up questionnaire, Follow-Up 2000, was administered and included a request for updated information on cardiovascular disease outcomes. A second follow-up questionnaire, Follow-Up 2003, was administered between 2003–2005, updating health related questions and medication use over the previous two years. The questionnaires utilized in this analysis can be found at www.stjude.org/ccss.

Of the 20,691 eligible five-year survivors, 3,058 were lost to follow-up. Of those contacted, 14,357 (81%) agreed to participate and completed the baseline questionnaire. Figure 1 describes the participation rates for each CCSS survey. Retention in this cohort is high, with only a small percentage lost to follow-up or refusing further participation. Approximately 1% of survivors in this cohort die each year. Nearest-age siblings of randomly selected participants were also invited to participate as a non-matched comparison population. Of the 5,857 siblings invited to participate, 3,899 siblings (67%) completed the baseline survey. Of the CCSS participants, 9,308 survivors and 2,951 siblings completed the second follow-up survey. Of these, our analysis included 8,599 survivors (excluding those who had a second malignancy or recurrence after the cohort entry due to potential lack of subsequent cancer treatment data) and 2,936 sibling (excluding those who had developed cancer due to lack of cancer treatment data) are included in this analysis. A comparison of the characteristics of the participants vs. the non-participants has been described previously (24). In summary, a comparison was made of demographic and cancer-related characteristics between the participants and non-participants. The two groups were found to be very similar with regard to gender, cancer diagnosis, age at diagnosis, age at contact and type of caner treatment. There was a slightly higher non-participation rate in the next of kin of those survivors who had died 5 or more years after diagnosis compared to the rates of survivors still living.

Figure 1
CCSS Case Participation

Cancer treatment information

Information relative to the original cancer diagnosis was obtained from treating institutions for all eligible cases. For all participants who returned a signed medical release, qualitative information on original cancer treatment was abstracted from the medical record for 42 specific chemotherapeutic agents; quantitative information was abstracted on a subset of 22 of these agents. Data were also obtained on the field(s) of radiation therapy. Radiation exposure (dichotomous yes/no variable) was defined as exposure to the brain, spine, chest, abdomen, total body irradiation (TBI) or other site (extremity).

Independent variables

Information from the baseline survey includes demographic information (sex, race/ethnicity, date of birth), and previous cardiovascular events (arteriosclerosis, coronary heart disease, myocardial infarction and stroke). Information about previous cardiovascular events was obtained from the Follow-Up 2000 survey. Variables from the Follow-Up 2003 survey include current age, current medication use, height and weight, health care visits in previous two years, smoking status, physical activity, and household income.

Outcome measures

Our primary outcomes of interest for this analysis were the components and clustering of cardiovascular risk factors. CVRFC, our parallel definition for MetS, was defined as having at least three of the following four risk factors: obesity, hypertension, dyslipidemia and diabetes mellitus or impaired glucose tolerance. Because the use of medications as documentation of metabolic syndrome components is included in some definitions of MetS (Table 1), we used self report of medications from the follow-up 2003 survey to classify participants as having or not having a particular component of the CVRFC. Our survey included a series of questions regarding name and types of medicines taken regularly during the previous two year period. For this analysis we looked at responses in the questionnaire regarding medications/drugs taken regularly for 1) Pills for diabetes, 2) Insulin injections for diabetes, 3) Medications for high blood pressure or hypertension, 4) Medications to lower cholesterol or triglycerides and 5) other prescribed drugs. The manner in which these questions were asked can be found at www.stjude.org/ccss. Individuals were considered to be taking the medication regularly if they reported either taking a medication consistently for more than one month or for taking the medication 30 days or more in a year. Obesity was determined by calculating a person’s body mass index (BMI) defined as kg/m2 with a BMI ≥ 30 kg/m2 considered obese.

Data analysis

The demographic and lifestyle characteristics of the survivors and siblings, and disease and treatment characteristics of the survivors, were tabulated to describe the survivor and sibling cohorts. To assess the relative prevalence of each CVRFs and CVRFC in survivors compared to siblings, odds ratios (OR) were estimated for having each CVRF or CVRFC at the time of survey, adjusting for age, sex, and ethnicity. To account for intra-family correlation, Generalized-Estimating-Equations (GEE) with the logit link were employed (25). To assess the associations of demographic and lifestyle factors, cancer treatment parameters, and current steroid use with each CVRF and CVRFC in survivors, we performed logistic regression analysis simultaneously assessing the effects of all these covariates, adjusting for age, sex, and ethnicity. To evaluate the association of cancer types (including sibling as a separate cancer type) with each CVRF and CVRFC, the GEE analysis with the logit link adjusting for age, sex, and ethnicity was performed. The association between previously reported CV disease events and subsequent identification of CVRFC was explored using Chi-square tests. All analyses were performed using SAS software, version 9.1. All confidence intervals and statistical significance tests reported here are two-sided.

Role of the funding Source

The CCSS is funded through the National Cancer Institute (NCI) (U24 CA55727). NCI played no role in the design of the study; the collection, analysis, and interpretation of the data; the decision to submit the manuscript for publication, nor the writing of the manuscript.

Results

Characteristics of the study population

The demographic and lifestyle characteristics of the cancer survivors and the siblings, and the treatment characteristics of the cancer survivors, are shown in Table 2. Survivors were more likely than the siblings to be male (51.5% vs. 46.4%) and to have annual household incomes of <$20,000 (11.4 vs. 6.6%). Siblings were older and more likely to report participation in physical activity over the past month. The majority of the cohort members, both survivors and siblings, were white. Almost all of the survivors (89.8%) and siblings (89.0%) reported seeing a physician at some time during the previous two years. Prior CV events, defined as hardening of the arteries or arteriosclerosis, coronary heart disease or myocardial infarction, were rare among both cancer survivors (1.0%) and siblings (0.3%). Radiation was included as part of the initial cancer treatment for 59.2% of the survivors, while 33.5% received anthracyclines > 100 mg/m2 and 4.7% received platinum therapy

Table 2
Characteristics of the study population

Cardiovascular disease risk factors among survivors and siblings

The distribution of each of the CV risk factors, individually and in three cluster combinations, is shown in Table 3 for both survivors and siblings. There was no difference in the prevalence of obesity in survivors (20.6%) compared to siblings (20.8%). However, hypertension, dyslipidemia and diabetes were all more common among survivors than among siblings. After adjusting for age, ethnicity, and sex, survivors were approximately 1.9 (95% CI 1.6–2.2) times more likely to be taking medication for hypertension, 1.6 (95% CI 1.3–2.0) times more likely to be taking medications for dyslipidemia, and 1.7 (95% CI 1.2–2.3) times more likely to be taking medications for diabetes than were members of the sibling comparison group. Nonetheless, survivors and siblings were equally likely to meet criteria for CVRFC (OR: 1.3, 95% CI 0.9–1.9).

Table 3
Frequencies and percents, adjusted odds ratios and 95% confidence intervals comparing survivors to siblings on individual and combined cardiovascular disease risk factors

Associations between demographics, lifestyle, treatment and cardiovascular disease risk factors

The associations between CVRFs and demographic, lifestyle and treatment factors among the members of the survivor cohort are shown in Table 4, adjusted for all covariates in the table. In the adjusted model, when compared to white race/ethnicity, black race/ethnicity was associated with increased odds of obesity and hypertension. Older age at the time of questionnaire was associated with each CVRF and hypertension (i.e., trend p-value: obesity p=0.015; hypertension p<0.0001; dyslipidemia p<0.0001; diabetes p<0.0001; and any three risk factors p<0.001). Sedentary lifestyle was associated with CVRFC and each CVRF except dyslipidemia.

Table 4
Odds ratios and 95% confidence intervals of having individual or combined cardiovascular disease risk factors for adult survivors of childhood cancer by demographic and lifestyle factors, cancer treatment parameters, and current steroid use.

In terms of treatment modalities, exposure to more than 100 milligrams/meter squared of an anthracycline was associated with a 50% increase in the odds of hypertension. When compared to those who did not receive radiation, those who received cranial radiation were more likely to be obese and those that received > 300 mg/m2 of anthracyclines were less likely to be obese. Individuals who received either abdomen or chest radiation or were currently on steroid therapy showed increased risk for hypertension. Treatment for dyslipidemia was associated with TBI, and radiation to the craniospinal axis, abdomen with chest and chest alone. Diabetes was associated with TBI and radiation to the abdomen and radiation to both abdomen and chest.. CVRFC was associated with TBI and combined abdominal-chest radiation.

Associations between diagnoses and cardiovascular disease risk factors

Although treatment exposures and their association with CVRFs and CVRFC was the main focus of this analysis, in many non-oncology clinical settings specific cancer treatment data is often not available and only the cancer diagnosis is known. Therefore, the relative odds of the individual and clustered CVRF outcomes by cancer diagnosis, comparing survivors to the sibling comparison group were estimated (Table 5). Most of these associations are driven by exposure to key treatment modalities or demographic/lifestyle factors. After adjusting for age, sex, and ethnicity survivors of acute lymphoblastic leukemia (ALL) and astrocytoma were more likely than siblings to be obese. In contrast, survivors of Hodgkin lymphoma, kidney tumor, neuroblastoma, soft tissue sarcoma, and osteosarcoma were less likely than siblings to be obese. Survivors of many of the diagnostic groups (10 of the 14 diagnostic groups) were more likely than siblings to be taking medication for hypertension, with the greatest risk of reporting antihypertensive medication use among survivors of kidney tumors and osteosarcomas. Increased risk of dyslipidemia was found in survivors of medulloblastoma, Hodgkin and non-Hodgkin lymphoma. ALL, acute myeloid leukemia (AML), and neuroblastoma were associated with an increased risk for diabetes. Hodgkin lymphoma was the only diagnostic group significantly associated with meeting CVRFC criteria.

Table 5
Odds ratios and 95% confidence intervals of having individual or combined cardiovascular disease risk factors for adult survivors of childhood cancer by diagnosis, adjusted for sex, ethnicity and age at questionnaire completion

Associations between previously reported cardiovascular events and cardiovascular disease risk factors

The associations between previously reported CV disease events (Follow-Up 2000) and current CVRFs (Follow-Up 2003) were evaluated for events reported at baseline and on the first follow-up survey. Among survivors, 83 reported cardiac events (coronary artery disease, atherosclerosis or myocardial infarction) and 151 a history of stroke at either the baseline or the first follow-up questionnaire. All of these previously reported cardiac events, except for stroke, were associated with an increased risk of reporting CVRFC (3 or 4 CVRFs) subsequently at second follow-up (p= 0.003).

Discussion

The primary focus of this study was to determine the risk of development of CVRFs and CVRFC after exposure to various cancer therapeutic modalities. Radiation therapy as opposed to chemotherapy was more strongly associated with the development of CVRFs, even after adjusting for other treatment exposures and demographic/lifestyle factors. In particular, exposure of large amounts of the torso to radiation, as in TBI and abdominal plus chest radiation, was strongly associated with many of the subsequent self-reported CVRFs and CVRFC. This may be due to radiation effects on either individual organs or the combined effects on multiple chest and abdominal organs.

In regards to chemotherapeutic exposures, moderate doses of anthracyclines were independently associated with hypertension, even after adjusting for other treatment exposures and demographic/lifestyle factors. In analysis of demographic and lifestyle factors adjusted for treatment exposures, a striking progressive increase in prevalence of each CVRF and CVRFC was noted with older attained age at time of completing the questionnaire. Self-reported sedentary lifestyle remained associated with most CVRFs and CVRFC, independent of other demographic and treatment factors. These findings suggest that, although factors known to be associated with CVRFs in the general population (i.e. age, sedentary lifestyle) remain important in cancer survivors, risk of developing CVRF/CVRFC is also increased by selected prior therapeutic exposures. However, because many primary care clinicians do not know the specific cancer treatment modalities their patients received, CVRF and CVRFC was reported by cancer diagnoses and compared to siblings. The associations of cancer diagnoses with CVRFs were not independent findings. Rather, these associations were likely dictated by the key cancer treatment exposures and underlying demographic data, such as older age at follow-up.

In the general U.S. population, the prevalence of obesity and other adverse cardiovascular traits that make up the metabolic syndrome have increased dramatically among both adults and children in recent years (26, 27). Development of any of these traits during childhood or adolescence tracks into adulthood (2830), and the presence of such traits increases the risk of future cardiovascular morbidity. A search of the literature (MEDLINE search terms “cancer survivor/survivorship”, “metabolic syndrome”, and/or “cardiovascular risk”, English-language through December 2008; and selected bibliographies) identifies a variety of reports featuring both national survey data (31)as well as single institutional studies (3235)including those that recruited a subset of CCSS participants (8). These studies suggest that cancer survivors may be at particularly increased risk of developing components of the metabolic syndrome, though not all demonstrated an increased risk of meeting the criteria for a diagnosis of MetS. Similarly, our study did not show an overall significantly increased risk of our metabolic syndrome surrogate (i.e. CVRFC), although most survivor groups were at increased risk of one or more component traits compared with siblings. However, given the heterogeneity of childhood cancer cohorts, one advantage of our study compared with prior reports is our much larger sample size, which allowed more meaningful stratification by treatment, and demographic characteristics. The underlying pathophysiology that predisposes towards development of CVRFs in the cancer survivor and the general population may be different. For example, obesity, considered by many to be the pathophysiologic driver of CV risk in the general population, was not more common overall in survivors compared with siblings, at least when determined using BMI. Other measures of central adiposity such as waist circumference and visceral fat content were not available to us, but have been noted to be increased in some, but not all, cancer survivor populations (8, 27, 34). However, even in the absence of obesity, other exposures and outcomes unique to cancer survivors may predispose towards the development of CVRFs. Chest and abdominal radiation may lead to an increased risk of cardiac and renal dysfunction including hypertension, possibly secondary to direct vascular injury and fibrosis (36). Growth hormone deficiency, often seen following cranial radiation and TBI, is associated with dyslipidemia, central adiposity, and altered carbohydrate metabolism (8, 37, 38). Many of these metabolic changes are inter-related and complex. For example, the growth hormone deficient state has been associated with both increased and reduced insulin sensitivity (37). Interpretation of the data can be difficult as obesity per se blunts the growth hormone response to provocative testing in otherwise normal individuals. These exposures, along with selected chemotherapy effects (e.g. acute pancreatitis following asparaginase; insulin resistance associated with chronic high-dose steroid therapy) may ultimately contribute to an increased risk of diabetes (39, 40). Other chemotherapy agents, such as anthracyclines, have long been associated with an increased risk of cardiac dysfunction (13, 20), although anthracyclines specifically have not previously been associated with hypertension. Some studies of adult cancer patients have reported an association between platinum agents and hypertension (41), although this was not observed in our analysis.

This study has several methodological limitations. The first is the creation of a definition for MetS that paralleled other definitions but accommodates the data available in the CCSS cohort. We tried to remain true to the four basic categories of risk: obesity, hypertension, abnormal lipids and impaired glucose metabolism. MetS and its components are often under-recognized since these traits can be silent medical problems that require a visit to a physician, a physical exam and laboratory analysis to be diagnosed. Although 89% of survivors and siblings reported a healthcare visit in the two years preceding completing the questionnaire, we are unable to ascertain if blood pressure, lipid analysis and glucose metabolism tests were done at the time of the visit. Also our method of ascertainment required treatment for a CVRF and many survivors and siblings might have unrecognized or untreated CVRFs. There is potential bias in that survivors may have been more closely screened for CVRF and treated at a lower threshold because of their healthcare providers’ awareness of their risk for CV disease. Another limitation is the self-reported heights and weights used for the calculation of BMI. However, because height and weight values were self- reported by both the survivors and siblings in this analysis, the likelihood of differential measurement bias is reduced (42). Self-reported medication histories obtained through questionnaires may be subject to misclassification and recall bias, but previous studies have demonstrated reasonable agreement between medication self-report and medical records or pharmacy records. Better recall accuracy has been associated with anti-hypertensive medications, statins and other chronic care medications compared with analgesics or antidepressants (4347). In addition questionnaires designed to ask about medications for a specific indication, such as the CCSS questionnaire, are more sensitive than those with open-ended questions (44, 45). Accuracy was improved through confirmation that self reported medications were correctly classified in the designated drug categories (e.g., medication for high blood pressure or hypertension, pills or insulin injection for diabetes and medication to lower cholesterol or triglycerides, as well as review of all medications listed under other prescribed drugs). However, the use of self report of medications as a proxy for disease is not standard and may result in underestimates and overestimates of the component traits of MetS.

Data on cardiovascular events were available from the baseline and first follow-up questionnaires. Realizing that the MetS components are often insidious diseases that can be present for months or years prior to diagnosis, there is likelihood that CVRFs ascertained in the Follow-Up 2003 questionnaire may have been present at the time of baseline and Follow-Up 2000 questionnaire. We analyzed the association of CVRFs ascertained at the Follow-Up 2003 questionnaire with the self report of cardiovascular events at earlier time points and found a significant association. At the time of this evaluation, the CCSS cohort is still a relatively young adult cohort. We anticipate that the frequency of CVRFs, CVRFC and CV events will increase with age. As the CCSS cohort ages, it will be important to continue to ascertain these outcomes to assess for stronger associations of demographic, lifestyle and treatment factors with CVRFs and clustering. It will also be important to ascertain the risk for subsequent development of CV events in survivors who a priori are identified to have CVRFC.

The presence of metabolic syndrome and its component parts are associated with significant morbidity and mortality from cardiovascular disease in the general population (48), (49), (50). Many of the recognized risk factors for the development of CV disease: obesity, hypertension, dyslipidemia and physical inactivity are amenable to behavioral/lifestyle and pharmacologic interventions. Ongoing follow-up in this cohort will show if the prevalence and severity of chronic health conditions remains disproportionately high in cancer survivors compared to the general population. It is hoped that the results of this study will encourage clinicians to emphasize to pediatric cancer survivors the importance of maintaining regular healthcare. In light of the high prevalence of chronic health conditions including cardiac disease and associated increased rates of death, it behooves all healthcare providers to be proactive in the early recognition and treatment of CV risk factors in this population. (1), (51), (23).

Acknowledgments

Financial Support: The Childhood Cancer Survivor Study is funded by the National Cancer Institute (U24 CA55727, PI: L.L. Robison)

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, TNLeslie L. Robison, PhD#‡, Melissa Hudson, MD*‡
Greg Armstrong, MD, MSCE, Daniel M. Green, MD
Kevin R. Krull, Ph.D.
Children’s Healthcare of Atlanta/Emory University Atlanta, GALillian Meacham, MD*, Ann Mertens, PhD
Children’s Hospitals and Clinics of Minnesota Minneapolis St. Paul, MNJoanna Perkins, MD, MS*
Children’s Hospital and Medical Center, Seattle, WADouglas Hawkins, MD*, Eric Chow, MD, MPH
Children’s Hospital, Denver, COBrian Greffe, MD*
Children’s Hospital Los Angeles, CAKathy Ruccione, RN, MPH*
Children’s Hospital, Oklahoma City, OKJohn Mulvihill, MD*‡
Children’s Hospital of Orange County, Orange, CALeonard Sender, MD*
Children’s Hospital of Philadelphia, Philadelphia, PAJill Ginsberg, MD*, Anna Meadows, MD
Children’s Hospital of Pittsburgh, Pittsburgh, PAJean Tersak, MD*
Children’s National Medical Center, Washington, DCGregory Reaman, MD*, Roger Packer, MD
Cincinnati Children’s Hospital Medical Center Cincinnati, OHStella Davies, MD, PhD*‡
City of Hope Medical Center, Los Angeles, CASmita Bhatia, MD*‡
Cook Children’s Medical Center, Ft. Worth, TXPaul Bowman, MD, MPH*
Dana-Farber Cancer Institute/Children’s Hospital Boston, MALisa Diller, MD*‡
Fred Hutchinson Cancer Research Center, Seattle, WAWendy Leisenring, ScD*‡
Hospital for Sick Children, Toronto, ONMark Greenberg, MBChB*, Paul C. Nathan, MD*‡
International Epidemiology Institute, Rockville, MDJohn Boice, ScD*‡
Mayo Clinic, Rochester, MNVilmarie Rodriguez, MD*
Memorial Sloan-Kettering Cancer Center, New York, NYCharles Sklar, MD*‡, Kevin Oeffinger, MD
Miller Children’s Hospital, Long Beach, CAJerry Finklestein, MD*
National Cancer Institute, Bethesda, MDRoy Wu, PhD, Nita Seibel, MD, Preetha Rajaraman, PhD
Nationwide Children’s Hospital, Columbus, OhioAmanda Termuhlen, MD*, Sue Hammond, MD
Northwestern University, Chicago, ILKimberley Dilley, MD, MPH*
Riley Hospital for Children, Indianapolis, INTerry A. Vik, MD*
Roswell Park Cancer Institute, Buffalo, NYMartin Brecher, MD*
St. Louis Children’s Hospital, St. Louis, MORobert Hayashi, MD*
Stanford University School of Medicine, Stanford, CANeyssa Marina, MD*, Sarah S. Donaldson, MD
Texas Children’s Hospital, Houston, TXZoann Dreyer, MD*
University of Alabama, Birmingham, ALKimberly Whelan, MD, MSPH*
University of Alberta, Edmonton, ABYutaka Yasui, PhD*‡
University of California-Los Angeles, CAJacqueline Casillas, MD, MSHS*, Lonnie Zeltzer, MD
University of California-San Francisco, CARobert Goldsby, MD*
University of Chicago, Chicago, ILTara Henderson, MD, MPH*
University of Michigan, Ann Arbor, MIRaymond Hutchinson, MD*
University of Minnesota, Minneapolis, MNJoseph Neglia, MD, MPH*‡
University of Southern California, Los Angeles, CADennis Deapen, DrPH*‡
UT-Southwestern Medical Center, Dallas, TXDaniel Bowers, MD*
U.T.M.D. Anderson Cancer Center, Houston, TXLouise Strong, MD*‡, Marilyn Stovall, MPH, PhD
*Institutional Principal Investigator
#Project Principal Investigator (U24 CA55727)
Member CCSS Steering Committee

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