Background: Young survivors of cancer are at increased risk for cancers that are related to human papillomavirus (HPV), primarily caused by oncogenic HPV types 16 and 18. We aimed to examine the immunogenicity and safety of the three-dose series of HPV vaccine in young survivors of cancer. Methods: We conducted an investigator-initiated, phase 2, single-arm, open-label, non-inferiority trial at five National Cancer Institute-designated comprehensive cancer centres in the USA. Eligible participants were survivors of cancer who were HPV vaccine-naive, were aged 9–26 years, in remission, and had completed cancer therapy between 1 and 5 years previously. Participants received three intramuscular doses of either quadrivalent HPV vaccine (HPV4; enrolments on or before March 1, 2016) or nonavalent HPV vaccine (HPV9; enrolments after March 1, 2016) over 6 months (on day 1, at month 2, and at month 6). We also obtained data from published clinical trials assessing safety and immunogenicity of HPV4 and HPV9 in 9–26-year-olds from the general population, as a comparator group. The primary endpoint was antibody response against HPV types 16 and 18 at month 7 in the per-protocol population. A response was deemed non-inferior if the lower bound of the multiplicity-adjusted 95% CI was greater than 0·5 for the ratio of anti-HPV-16 and anti-HPV-18 geometric mean titres (GMTs) in survivors of cancer versus the general population. Responses were examined separately in male and female participants by age group (ie, 9–15 years and 16–26 years). Safety was assessed in all participants who received at least one vaccine dose and for whom safety data were available. This study is registered with ClinicalTrials.gov, NCT01492582. This trial is now completed. Findings: Between Feb 18, 2013, and June 22, 2018, we enrolled 453 survivors of cancer, of whom 436 received one or more vaccine doses: 203 (47%) participants had survived leukaemia, 185 (42%) were female, and 280 (64%) were non-Hispanic white. Mean age at first dose was 15·6 years (SD 4·6). 378 (83%) of 453 participants had evaluable immunogenicity data; main reasons for exclusion from per-protocol analysis were to loss to follow-up, patient reasons, and medical reasons. Data were also obtained from 26 486 general population controls. The ratio of mean GMT for anti-HPV types 16 and 18 in survivors of cancer versus the general population was more than 1 for all subgroups (ie, aged 9–15 years, aged 16–26 years, male, and female groups) in both vaccine cohorts (ranging from 1·64 [95% CI 1·12–2·18] for anti-HPV type 16 in female participants aged 9–15 years who received HPV9, to 4·77 [2·48–7·18] for anti-HPV type 18 in male participants aged 16–26 years who received HPV4). Non-inferiority criteria were met within each age and sex subgroup, except against HPV type 18 in female participants aged 16–26 years receiving HPV9 (4·30 [0·00–9·05]). Adverse events were reported by 237 (54%) of 435 participants; injection site pain was most common (174 [40%] participants). One serious adverse event (ie, erythema nodosum) was possibly related to vaccine (HPV9; 16–26 year female cohort). Interpretation: Immunogenicity and safety of HPV vaccine three-dose series in survivors of cancer is similar to that in the general population, providing evidence for use in this clinically vulnerable population. Funding: US National Cancer Institute, Merck, Sharp & Dohme, and American Lebanese Syrian Associated Charities.

Background: Young adult cancer survivors are at risk for subsequent human papillomavirus (HPV)-related malignancies. High-risk sexual behavior increases risk for HPV acquisition; HPV vaccination protects against infection. We aimed to determine the prevalence of sexual behaviors, factors related to high-risk sexual behaviors, and the relationship between sexual behaviors and HPV vaccine non-initiation among survivors. Methods: Survivors at comprehensive cancer centers, aged 18–26 years and 1–5 years post-treatment, reported sexual behaviors and HPV vaccine initiation (i.e., ≥ 1 dose). Multivariable logistic regression was performed to calculate odds ratios (OR) and 95% confidence intervals (95%CI) for factors associated with high-risk sexual behaviors (age at first intercourse < 16 years, ≥ 3 lifetime sexual partners, or condom use ≤ 50% of the time) and to explore the relationship between sexual behaviors and vaccine non-initiation. Results: Of the 312 participants (48.1% female, median age at cancer diagnosis 17.2 years and at survey 20.9 years), sexual intercourse was reported by 63.1%. Of those reporting intercourse, 74.6% reported high-risk sexual behavior. Factors related to high-risk sexual behavior included currently dating/partnered (OR = 4.39, 95%CI 2.5–7.7, P < 0.001) and perceived susceptibility to HPV (OR = 1.76, 95%CI 1.3-2.5, P < 0.001). Most survivors (75.3%) reported HPV vaccine non-initiation; sexual behaviors were not associated with vaccine non-initiation (P = 0.4). Conclusions: Many survivors participate in high-risk sexual behaviors, yet HPV vaccine initiation rates are low. Factors related to high-risk sexual behaviors can inform interventions to reduce risk for HPV acquisition among survivors. Implications for Cancer Survivors: Cancer survivors participate in sexual behaviors that increase risk for HPV acquisition and would benefit from vaccination.

Features associated with malnutrition are poorly elucidated in pediatric cancer care. We aimed to better understand characteristics associated with weight-for-height (WHZ) and height-for-age (HAZ) changes for infants and young children during cancer treatment. This retrospective study included 434 patients diagnosed <3 years old from 2007 to 2015 at a large pediatric cancer center. Patients starting treatment outside our center, those with relapsed or secondary malignancies, or with inaccurate information were excluded. Abstracted weights and heights for a 24-month period after treatment initiation were converted to sex-specific and age-specific z scores. Although not statistically different at baseline, patients with hematologic malignancies gained weight over time, while other tumor types did not. Higher treatment intensity and younger age at diagnosis increased odds of clinically significant weight loss. Older children had higher HAZ at diagnosis and HAZ also significantly decreased over time for all examined risk factors, which is distinctly different from patterns in WHZ over time. In conclusion, WHZ and HAZ are affected differently by cancer treatment in infants and young children. We identify key risk factors for weight loss and growth stunting which will be necessary to develop prospective trials to examine anthropometric, biochemical, and patient recorded outcomes around nutrition.

Background: Various measures and definitions for undernutrition are used in pediatrics. Younger children treated for cancer are at high risk, but lack well-defined risk-based screening and intervention. Methods: A retrospective study collected weight longitudinally for patients less than three years-old over two years after initiating cancer treatment. We included those diagnosed 2007–2015 at a large pediatric cancer center. Exclusion criteria included treatment starting outside our system, secondary or relapsed malignancy, or incomplete information. A decrease ≥1 in weight-for-age or weight-for-height z-score signified clinically significant weight loss. Univariate and multivariate models assessed hazards for developing first episode of clinically significant weight loss. Results: Of 372 patients, only 24.6% of patients lost 10% of weight, but 58.6% lost weight-for-age z-score ≥1 and 64.8% lost ≥1 weight-for-height z-score within two years of treatment initiation. Patients who lost weight were younger (median age 15 vs. 24 months, p < 0.001). Compared to patients diagnosed in the first year of life, those diagnosed 24–35 months were less likely to lose weight (HR 0.62, p < 0.001) and lost weight later (median time to weight loss 144 vs. 35 days). Higher treatment intensity increased weight loss risk (HR 2.30, p < 0.001) and decreased time to weight loss (35 vs. 154 days). No differences were found based on sex, diagnosis, enteral or parenteral nutrition, gastroenterology consults, or intensive care admissions. Conclusions: Using normalized z-scores is more sensitive for identifying weight loss. Younger children are more likely to lose weight with higher intensity cancer therapy. Patient and treatment specific information should be used in risk stratifying weight loss screening and nutritional interventions.

Purpose To estimate the prevalence of sperm banking among adolescent males newly diagnosed with cancer and to identify factors associated with banking outcomes. Patients and Methods A prospective, single-group, observational study design was used to test the contribution of sociodemographic, medical, psychological/health belief, communication, and developmental factors to fertility preservation outcomes. At-risk adolescent males (N = 146; age 13.00 to 21.99 years; Tanner stage $ 3), their parents, and medical providers from eight leading pediatric oncology centers across the United States and Canada completed self-report questionnaires within 1 week of treatment initiation. Multivariable logistic regression was used to calculate odds ratios (ORs) and 95% CIs for specified banking outcomes (collection attempt v no attempt and successful completion of banking v no banking). Results Among adolescents (mean age, 16.49 years; standard deviation, 2.02 years), 53.4% (78 of 146) made a collection attempt, with 43.8% (64 of 146) successfully banking sperm (82.1% of attempters). The overall attempt model revealed adolescent consultation with a fertility specialist (OR, 29.96; 95% CI, 2.48to 361.41;P =.007), parent recommendation tobank (OR, 12.30; 95% CI, 2.01 to75.94; P =.007), and higher Tanner stage (OR, 5.42; 95% CI, 1.75 to 16.78; P =.003) were associated with anincreased likelihood of acollection attempt. Adolescent history of masturbation (OR, 5.99; 95% CI, 1.25 to 28.50; P =.025), banking self-efficacy (OR, 1.23; 95% CI, 1.05 to 1.45; P =.012), and parent (OR, 4.62; 95% CI, 1.46 to 14.73; P =.010) or medical team (OR, 4.26; 95% CI, 1.45 to 12.43; P =.008) recommendation to bank were associated with increased likelihood of sperm banking completion. Conclusion Although findings suggest that banking is underutilized, modifiable adolescent, parent, and provider factors associated with banking outcomes were identified and should be targeted in future intervention efforts.

Background: The proportion of pediatric and adolescent cancer patients surviving 5 years has increased during the past four decades. This growing population of survivors remains at risk for disease- and treatment-associated late mortality. Methods: A total of 20 483 five-year survivors of childhood and adolescent cancer diagnosed between January 1, 1970, and December 31, 1986, and enrolled in the Childhood Cancer Survivor Study (CCSS) were included in a National Death Index search for deaths occurring between January 1, 1979, and December 31, 2002. Treatment information was abstracted from primary medical records. Survival probabilities, standardized mortality ratios (SMRs), and absolute excess risks were calculated for overall and cause-specific deaths. Diagnosis- and sex-specific survival probabilities were estimated by the product-limit method. All statistical tests were two-sided. Results: Among the CCSS cohort, 2821 (13.8%) 5-year survivors had died by the end of the follow-up period. The cause of death was obtained for 2534 individuals, with 57.5% of deaths attributed to recurrent disease. Estimated probability of survival 30 years from diagnosis was 82%. When compared with the US population, the absolute excess risk of death from any cause was 7.36 deaths per 1000 person-years. The overall SMR was 8.4 (95% confidence interval [CI] = 8.0 to 8.7). Increases in cause-specific mortality were seen for deaths due to subsequent malignancy (SMR = 15.2, 95% CI = 13.9 to 16.6) and cardiac (SMR = 7.0, 95% CI = 5.9 to 8.2), pulmonary (SMR = 8.8, 95% CI = 6.8 to 11.2), and other medical (SMR = 2.6, 95% CI = 2.3 to 3.0) causes. At 20 years of follow-up (25 years after first cancer diagnosis), the death rate due to a subsequent malignancy exceeded that due to all other causes. Conclusion: Our extended follow-up of 5-year survivors of pediatric and adolescent cancer indicates that excess mortality persists long after diagnosis. Continued observation is needed to further define lifetime risk and to determine the potential contribution of chronic health conditions and modifiable health behaviors.

Despite favorable prognoses, pediatric patients with hematologic malignancies experience significant challenges that may lead to diminished quality of life or family stress. They are less likely to receive subspecialty palliative care (PC) consultation and often undergo intensive end‐of‐life (EOL) care. We examined “palliative opportunities,” or events when the integration of PC would have the greatest impact, present during a patient's hematologic malignancy course and relevant associations.

Purpose: The purpose of this study was to assess the prevalence of male infertility and treatment-related risk factors in childhood cancer survivors. Methods: Within the Childhood Cancer Survivor Study, 1,622 survivors and 274 siblings completed the Male Health Questionnaire. The analysis was restricted to survivors (938/1,622; 57.8 %) and siblings (174/274; 63.5 %) who tried to become pregnant. Relative risks (RR) and 95 % confidence intervals (CI) for the prevalence of self-reported infertility were calculated using generalized linear models for demographic variables and treatment-related factors to account for correlation among survivors and siblings of the same family. All statistical tests were two-sided. Results: Among those who provided self-report data, the prevalence of infertility was 46.0 % in survivors versus 17.5 % in siblings (RR = 2.64, 95 % CI 1.88-3.70, p < 0.001). Of survivors who met the definition for infertility, 37 % had reported at least one pregnancy with a female partner that resulted in a live birth. In a multivariable analysis, risk factors for infertility included an alkylating agent dose (AAD) score ≥3 (RR = 2.13, 95 % CI 1.69-2.68 for AAD ≥3 versus AAD <3), surgical excision of any organ of the genital tract (RR = 1.63, 95 % CI 1.20-2.21), testicular radiation ≥4 Gy (RR = 1.99, 95 % CI 1.52-2.61), and exposure to bleomycin (RR = 1.55, 95 % CI 1.20-2.01). Conclusion: Many survivors who experience infertility father their own children, suggesting episodes of both fertility and infertility. This and the novel association of infertility with bleomycin warrant further investigation. Implications for Cancer Survivors: Though infertility is common, male survivors reporting infertility often father their own children. Bleomycin may pose some fertility risk.

Purpose: To report the influence of radiation therapy (RT) dose and surgical pathology variables on disease control and overall survival (OS) in patients treated for high-risk neuroblastoma at a single institution. Methods and Materials: We conducted a retrospective study of 67 high-risk neuroblastoma patients who received RT as part of definitive management from January 2003 until May 2014. Results: At a median follow-up of 4.5 years, 26 patients (38.8%) failed distantly; 4 of these patients also failed locally. One patient progressed locally without distant failure. Local control was 92.5%, and total disease control was 59.5%. No benefit was demonstrated for RT doses over 21.6 Gy with respect to local relapse–free survival (P=.55), disease-free survival (P=.22), or OS (P=.72). With respect to local relapse–free survival, disease-free survival, and OS, no disadvantage was seen for positive lymph nodes on surgical pathology, positive surgical margins, or gross residual disease. Of the patients with gross residual disease, 75% (6 of 8) went on to have no evidence of disease at time of last follow-up, and the 2 patients who failed did so distantly. Conclusions: Patients with high-risk neuroblastoma in this series maintained excellent local control, with no benefit demonstrated for radiation doses over 21.6 Gy, and no disadvantage demonstrated for gross residual disease after surgery, positive surgical margins, or pathologic lymph node positivity. Though the limitations of a retrospective review for an uncommon disease must be kept in mind, with small numbers in some of the subgroups, it seems that dose escalation should be considered only in exceptional circumstances.

Background: We aimed to identify demographic and health-related predictors of declining physical activity levels over a four-year period among participants in the Childhood Cancer Survivor Study. Methods: Analyses included 7,287 ≥5-year childhood cancer survivors and 2,107 siblings who completed multiple follow-up questionnaires. Participants were classified as active if they met the Centers for Disease Control and Prevention guidelines for physical activity. Generalized linear models were used to compare participants whose physical activity levels declined from active to inactive over the study to those who remained active. In addition, selected chronic conditions (CTCAE v4.03 Grade 3 and 4) were evaluated as risk factors in an analysis limited to survivors only. Results: The median age at last follow-up among survivors and siblings was 36 (range, 21-58) and 38 (range, 21-62) years, respectively. The rate of decline did not accelerate over time among survivors when compared with siblings. Factors that predicted declining activity included body mass index >30 kg/m² [RR = 1.32; 95% confidence interval (CI), 1.19-1.46, P < 0.01], not completing high school (RR = 1.31; 95% CI, 1.08-1.60, P < 0.01), and female sex (RR = 1.33; 95% CI, 1.22-1.44, P < 0.01). Declining physical activity levels were associated with the presence of chronic musculoskeletal conditions (P = 0.034), but not with the presence of cardiac (P = 0.10), respiratory (P = 0.92), or neurologic conditions (P = 0.21). Conclusions: Interventions designed to maximize physical activity should target female, obese, and less educated survivors. Survivors with chronic musculoskeletal conditions should be monitored, counseled, and/or referred for physical therapy. Impact: Clinicians should be aware of low activity levels among subpopulations of childhood cancer survivors, which may heighten their risk for chronic illness.