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Therapy-related pulmonary complications are among the leading causes of morbidity among long-term survivors of childhood cancer. Restrictive ventilatory defects (RVD) are prevalent, with risks increasing after exposures to chest radiotherapy and radiomimetic chemotherapies. Using whole-genome sequencing data from 1,728 childhood cancer survivors in the St. Jude Lifetime Cohort Study, we developed and validated a composite RVD risk prediction model that integrates clinical profiles and polygenic risk scores (PRS), including both published lung phenotype PRSs and a novel survivor-specific pharmaco/radiogenomic PRS (surPRS) for RVD risk reflecting gene-by-treatment (GxT) interaction effects. Overall, this new therapy-specific polygenic risk prediction model showed multiple indicators for superior discriminatory accuracy in an independent data set. The surPRS was significantly associated with RVD risk in both training (OR = 1.60, P = 3.7 × 10−10) and validation (OR = 1.44, P = 8.5 × 10−4) data sets. The composite model featuring the surPRS showed the best discriminatory accuracy (AUC = 0.81; 95% CI, 0.76–0.87), a significant improvement (P = 9.0 × 10−3) over clinical risk scores only (AUC = 0.78; 95% CI: 0.72–0.83). The odds of RVD in survivors in the highest quintile of composite model-predicted risk was ∼20-fold higher than those with median predicted risk or less (OR = 20.01, P = 2.2 × 10−16), exceeding the comparable estimate considering nongenetic risk factors only (OR = 9.20, P = 7.4 × 10−11). Inclusion of genetic predictors also selectively improved risk stratification for pulmonary complications across at-risk primary cancer diagnoses (AUCclinical = 0.72; AUCcomposite = 0.80, P = 0.012). Overall, this PRS approach that leverages GxT interaction effects supports late effects risk prediction among childhood cancer survivors. Significance: This study develops a therapy-specific polygenic risk prediction model to more precisely identify childhood cancer survivors at high risk for pulmonary complications, which could help improve risk stratification for other late effects.

Background Adult survivors of childhood cancer are at increased risk of cardiac late effects. Methods Using whole-genome sequencing data from 1870 survivors of European ancestry in the St. Jude Lifetime Cohort (SJLIFE) study, genetic variants were examined for association with ejection fraction (EF) and clinically assessed cancer therapy–induced cardiac dysfunction (CCD). Statistically significant findings were validated in 301 SJLIFE survivors of African ancestry and 4020 survivors of European ancestry from the Childhood Cancer Survivor Study. All statistical tests were 2-sided. Results A variant near KCNK17 showed genome-wide significant association with EF (rs2815063-A: EF reduction = 1.6%; P = 2.1 × 10-8) in SJLIFE survivors of European ancestry, which replicated in SJLIFE survivors of African ancestry (EF reduction = 1.5%; P = .004). The rs2815063-A also showed a 1.80-fold (P = .008) risk of severe or disabling or life-threatening CCD and replicated in 4020 Childhood Cancer Survivor Study survivors of European ancestry (odds ratio = 1.40; P = .04). Notably, rs2815063-A was specifically associated among survivors exposed to doxorubicin only, with a stronger effect on EF (3.3% EF reduction) and CCD (2.97-fold). Whole blood DNA methylation data in 1651 SJLIFE survivors of European ancestry showed statistically significant correlation of rs2815063-A with dysregulation of KCNK17 enhancers (false discovery rate Conclusions Leveraging the 2 largest cohorts of childhood cancer survivors in North America and survivor-specific polygenomic functional data, we identified a novel risk locus for CCD, which showed specificity with doxorubicin-induced cardiac dysfunction and highlighted dysregulation of KCNK17 as the likely molecular mechanism underlying this genetic association.

Adverse cardiovascular outcomes such as coronary artery disease (CAD) are the leading noncancer causes of morbidity and mortality among childhood cancer survivors.The aim of this study was to assess the role of a genome-wide polygenic score (GPS) for CAD, well validated in the general population, and its interplay with cancer-related risk factors among childhood cancer survivors.In a cohort study of 2,472 5-year childhood cancer survivors from the St. Jude Lifetime Cohort, the association between the GPS and the risk of CAD was performed using Cox regression models adjusted for age at cancer diagnosis, sex, cumulative dose of anthracyclines, and mean heart radiation dose.Among survivors of European ancestry, the GPS was significantly associated with the risk of CAD (HR per 1 SD of the GPS: 1.25; 95% CI: 1.04-1.49;Childhood cancer survivors are at risk for premature CAD. A GPS may help identify those who may benefit from targeted screening and personalized preventive interventions.

Figure S1: Age distribution of the cohort. Figure S2: The distribution of bleomycin 3rd tertile. Figure S3: Distribution of cancer types treated without alkylating agents, platinum, anthracyclines, bleomycin, dactinomycin, epipodophyllotoxins, methotrexate, vinca alkaloids. Figure S4: Conceptual illustration for age- and therapy-related clonal hematopoiesis. Figure S5: Distribution of cell phenotypes harboring STAT3 Y640F mutation. Figure S6: Regression analysis on public dataset to reproduce the clone expansion pattern in main Figure 4A. Figure S7: Longitudinal view of the serial samples. Figure S8: Simulation analysis to reproduce the pattern in main Figure 4B. Figure S9: Comparison of clone growth rates and clone sizes between age- and therapy-related CH. Figure S10: Additional sequencing for PPM1D. Table S1: Gene panel. Table S3: Comparison between CH and sex, race and age. Table S4: Comparison between CH status and pathogenic germline mutations. Separately analyzed for cancer predisposition genes and DNA damage repair genes. Table S5: Enrichment of STAT3 mutations in Hodgkin lymphoma survivors. Table S6: Association between procarbazine exposure and mutation pattern in Hodgkin lymphoma survivors.

Table S2: List of CH mutations identified. Table S7: Mutations analyzed in serial analysis. Table S8: Clinical features of the survivors. Table S9: List of primers used in ddPCR validation.

We present the first comprehensive investigation of clonal hematopoiesis (CH) in 2,860 long-term survivors of pediatric cancer with a median follow-up time of 23.5 years. Deep sequencing over 39 CH-related genes reveals mutations in 15% of the survivors, significantly higher than the 8.5% in 324 community controls. CH in survivors is associated with exposures to alkylating agents, radiation, and bleomycin. Therapy-related CH shows significant enrichment in STAT3, characterized as a CH gene specific to survivors of Hodgkin lymphoma, and TP53. Single-cell profiling of peripheral blood samples revealed STAT3 mutations predominantly present in T cells and contributed by SBS25, a mutational signature associated with procarbazine exposure. Serial sample tracking reveals that larger clone size is a predictor for future expansion of age-related CH clones, whereas therapy-related CH remains stable decades after treatment. These data depict the distinct dynamics of these CH subtypes and support the need for longitudinal monitoring to determine the potential contribution to late effects. Significance: This first comprehensive CH analysis in long-term survivors of pediatric cancer presents the elevated prevalence and therapy exposures/diagnostic spectrum associated with CH. Due to the contrasting dynamics of clonal expansion for age-related versus therapy-related CH, longitudinal monitoring is recommended to ascertain the long-term effects of therapy-induced CH in pediatric cancer survivors. See related commentary by Collord and Behjati, p. 811. This article is highlighted in the In This Issue feature, p. 799

We present the first comprehensive investigation of clonal hematopoiesis (CH) in 2,860 long-term survivors of pediatric cancer with a median follow-up time of 23.5 years. Deep sequencing over 39 CH-related genes reveals mutations in 15% of the survivors, significantly higher than the 8.5% in 324 community controls. CH in survivors is associated with exposures to alkylating agents, radiation, and bleomycin. Therapy-related CH shows significant enrichment in STAT3, characterized as a CH gene specific to survivors of Hodgkin lymphoma, and TP53. Single-cell profiling of peripheral blood samples revealed STAT3 mutations predominantly present in T cells and contributed by SBS25, a mutational signature associated with procarbazine exposure. Serial sample tracking reveals that larger clone size is a predictor for future expansion of age-related CH clones, whereas therapy-related CH remains stable decades after treatment. These data depict the distinct dynamics of these CH subtypes and support the need for longitudinal monitoring to determine the potential contribution to late effects.Significance:This first comprehensive CH analysis in long-term survivors of pediatric cancer presents the elevated prevalence and therapy exposures/diagnostic spectrum associated with CH. Due to the contrasting dynamics of clonal expansion for age-related versus therapy-related CH, longitudinal monitoring is recommended to ascertain the long-term effects of therapy-induced CH in pediatric cancer survivors.See related commentary by Collord and Behjati, p. 811.This article is highlighted in the In This Issue feature, p. 799

Effective data sharing is key to accelerating research to improve diagnostic precision, treatment efficacy, and long-term survival in pediatric cancer and other childhood catastrophic diseases. We present St. Jude Cloud (https://www.stjude.cloud), a cloud-based data-sharing ecosystem for accessing, analyzing, and visualizing genomic data from >10,000 pediatric patients with cancer and long-term survivors, and >800 pediatric sickle cell patients. Harmonized genomic data totaling 1.25 petabytes are freely available, including 12,104 whole genomes, 7,697 whole exomes, and 2,202 transcriptomes. The resource is expanding rapidly, with regular data uploads from St. Jude's prospective clinical genomics programs. Three interconnected apps within the ecosystem—Genomics Platform, Pediatric Cancer Knowledgebase, and Visualization Community—enable simultaneously performing advanced data analysis in the cloud and enhancing the Pediatric Cancer knowledgebase. We demonstrate the value of the ecosystem through use cases that classify 135 pediatric cancer subtypes by gene expression profiling and map mutational signatures across 35 pediatric cancer subtypes.Significance:To advance research and treatment of pediatric cancer, we developed St. Jude Cloud, a data-sharing ecosystem for accessing >1.2 petabytes of raw genomic data from >10,000 pediatric patients and survivors, innovative analysis workflows, integrative multiomics visualizations, and a knowledgebase of published data contributed by the global pediatric cancer community.This article is highlighted in the In This Issue feature, p. 995

Involves Supplementary Table Legends and Supplementary Figures and associated legends

Exposure to high doses of alkylating agents is associated with increased risk of impaired spermatogenesis among nonirradiated male survivors of childhood cancer, but there is substantial variation in this risk. Here we conducted a genetic study for impaired spermatogenesis utilizing whole-genome sequencing data from 167 nonirradiated male childhood cancer survivors of European ancestry from the St. Jude Lifetime Cohort treated with cyclophosphamide equivalent dose (CED) ≥4,000 mg/m2. Sperm concentration from semen analysis was assessed as the primary outcome. Common variants (MAF > 0.05) were adjusted for age at cancer diagnosis, CED, and top principal components. Rare/low-frequency variants (MAF ≤ 0.05) were evaluated jointly by various functional annotations and 4-kb sliding windows. A novel locus at 7q21.3 containing TAC1/ASNS was associated with decreased sperm concentration (rs7784118: P = 3.5 × 10−8). This association was replicated in two independent samples of SJLIFE survivors of European ancestry, including 34 nonirradiated male survivors treated with 0 < CED < 4,000 mg/m2 (P = 3.1 × 10−4) and 24 male survivors treated with CED ≥4,000 mg/m2 and radiotherapy P = 0.012). No association was observed among survivors not exposed to alkylating agents included in the CED (P > 0.29). rs7784118 conferred 3.48- and 9.73-fold increases in risk for clinically defined oligospermia and azoospermia and improved prediction of normospermic, oligospermic, and azoospermic states by 13.7%, 5.3%, and 21.7%. rs7784118 was associated with decreased testosterone level, increased levels of follicle stimulating and luteinizing hormones, and 8.52-fold increased risk of Leydig cell failure. Additional research is warranted to determine how this SNP influences spermatogenesis and to assess its clinical utility in characterizing high-risk survivors and guiding intervention strategies.Significance:The identified genetic markers harbor potential clinical utility in characterizing high-risk survivors and guiding intervention strategies including pretreatment patient counseling and use of fertility preservation services.

Figure S1. Population Admixture Revealed by STRUCTURE Analysis Figure S2. Distribution of Polygenic Risk Score among Female Survivors of European Ancestry Figure S3. Cumulative Incidence of Subsequent Breast Cancer Differs by Polygenic Risk Score after Excluding Breast Cancer Predisposing Mutation Carriers Table S1. Previously Reported Loci Associated with Overall Breast Cancer Table S2. Polygenic Risk Score for 1133 Female Childhood Cancer Survivors of European Ancestry Table S3. Quintile Cutoffs for Polygenic Risk Score Based on 1133 Female Survivors or Estimated with Minor Allele Frequencies within OncoArray Control Population Table S4. Pathogenic or Likely Pathogenic Mutations in 11 Breast Cancer Predisposition Genes for 1133 Female Survivors of European Ancestry Table S5. Baseline Risk Model for Subsequent Breast Cancer Table S6. Association of Polygenic Risk Score with Rate of Subsequent Breast Cancer in Survivors of Childhood Cancer after Excluding Predisposing Mutation Carriers Table S7. Association of Polygenic Risk Score with Rate of Subsequent Breast Cancer in Survivors of Childhood Cancer after Excluding Predisposing Mutation Carriers (top 10% of PRS)

Sup Table 1: Age-adjusted testosterone, FSH and LH levels in community controls. Sup Table 2: Non-genetic model for sperm concentration (millions/mL) among 201 unirradiated male survivors who were exposed to CED. Sup Table 3: Sperm characteristics in oligospermic and normospermic semen analysis participants in the discovery sample. Sup Table 4: Rare variant associations for sperm concentration (millions/mL) showing statistical significance in standard burden and SKAT tests and their results based on permutation-based analyses. Sup Table 5: Meta-analysis of discovery and replications results for the chromosome 7q21.3 locus associated with sperm concentration. Sup Table 6: The association of rs7784118 with sperm concentration in the discovery sample, stratified by endocrine parameters. Sup Table 7: Consistency of two different semen analyses for the 16 male survivors in the discovery sample. Sup Figure 1: Principal component analysis (PCA) of survivors in the SJLIFE WGS dataset. Sup Figure 2: Quantile-quantile plot for the common variant analysis of sperm concentration in the discovery sample. Sup Figure 3: Distribution of sperm concentration (millions/mL) with respect to genotypes of rs7784118 in the discovery cohort.

Supplementary Fig. S1-S3, Supplementary Table S1-S9 Supplementary Fig. S1. A flow diagram of the study population. Supplementary Fig. S2. Dynamics of telomere length differs between individuals with no history of cancer and survivors of childhood cancer due to exposures to chemotherapy and/or radiation treatment. Supplementary Fig. S3. Theoretical framework of relationships among telomere length, health behaviors and chronic health conditions.

Characterization of toxicity associated with cancer and its treatment is essential to quantify risk, inform optimization of therapeutic approaches for newly diagnosed patients, and guide health surveillance recommendations for long-term survivors. The NCI Common Terminology Criteria for Adverse Events (CTCAE) provides a common rubric for grading severity of adverse outcomes in cancer patients that is widely used in clinical trials. The CTCAE has also been used to assess late cancer treatment-related morbidity but is not fully representative of the spectrum of events experienced by pediatric and aging adult survivors of childhood cancer. Also, CTCAE characterization does not routinely integrate detailed patient-reported and medical outcomes data available from clinically assessed cohorts. To address these deficiencies, we standardized the severity grading of long-term and late-onset health events applicable to childhood cancer survivors across their lifespan by modifying the existing CTCAE v4.03 criteria and aligning grading rubrics from other sources for chronic conditions not included or optimally addressed in the CTCAE v4.03. This article describes the methods of late toxicity assessment used in the St. Jude Lifetime Cohort Study, a clinically assessed cohort in which data from multiple diagnostic modalities and patient-reported outcomes are ascertained. Cancer Epidemiol Biomarkers Prev; 26(5); 666–74. ©2016 AACR.

Supplementary Methods

Purpose:The risk of subsequent breast cancer among female childhood cancer survivors is markedly elevated. We aimed to determine genetic contributions to this risk, focusing on polygenic determinants implicated in breast cancer susceptibility in the general population.Experimental Design:Whole-genome sequencing (30×) was performed on survivors in the St Jude Lifetime Cohort, and germline mutations in breast cancer predisposition genes were classified for pathogenicity. A polygenic risk score (PRS) was constructed for each survivor using 170 established common risk variants. Relative rate (RR) and 95% confidence interval (95% CI) of subsequent breast cancer incidence were estimated using multivariable piecewise exponential regression.Results:The analysis included 1,133 female survivors of European ancestry (median age at last follow-up = 35.4 years; range, 8.4–67.4), of whom 47 were diagnosed with one or more subsequent breast cancers (median age at subsequent breast cancer = 40.3 years; range, 24.5–53.0). Adjusting for attained age, age at primary diagnosis, chest irradiation, doses of alkylating agents and anthracyclines, and genotype eigenvectors, RRs for survivors with PRS in the highest versus lowest quintiles were 2.7 (95% CI, 1.0–7.3), 3.0 (95% CI, 1.1–8.1), and 2.4 (95% CI, 0.1–81.1) for all survivors and survivors with and without chest irradiation, respectively. Similar associations were observed after excluding carriers of pathogenic/likely pathogenic mutations in breast cancer predisposition genes. Notably, the PRS was associated with the subsequent breast cancer rate under the age of 45 years (RR = 3.2; 95% CI, 1.2–8.3).Conclusions:Genetic profiles comprised of small-effect common variants and large-effect predisposing mutations can inform personalized breast cancer risk and surveillance/intervention in female childhood cancer survivors.

Supplementary Data

Therapy-related pulmonary complications are among the leading causes of morbidity among long-term survivors of childhood cancer. Restrictive ventilatory defects (RVD) are prevalent, with risks increasing after exposures to chest radiotherapy and radiomimetic chemotherapies. Using whole-genome sequencing data from 1,728 childhood cancer survivors in the St. Jude Lifetime Cohort Study, we developed and validated a composite RVD risk prediction model that integrates clinical profiles and polygenic risk scores (PRS), including both published lung phenotype PRSs and a novel survivor-specific pharmaco/radiogenomic PRS (surPRS) for RVD risk reflecting gene-by-treatment (GxT) interaction effects. Overall, this new therapy-specific polygenic risk prediction model showed multiple indicators for superior discriminatory accuracy in an independent data set. The surPRS was significantly associated with RVD risk in both training (OR = 1.60, P = 3.7 × 10−10) and validation (OR = 1.44, P = 8.5 × 10−4) data sets. The composite model featuring the surPRS showed the best discriminatory accuracy (AUC = 0.81; 95% CI, 0.76–0.87), a significant improvement (P = 9.0 × 10−3) over clinical risk scores only (AUC = 0.78; 95% CI: 0.72–0.83). The odds of RVD in survivors in the highest quintile of composite model-predicted risk was ∼20-fold higher than those with median predicted risk or less (OR = 20.01, P = 2.2 × 10−16), exceeding the comparable estimate considering nongenetic risk factors only (OR = 9.20, P = 7.4 × 10−11). Inclusion of genetic predictors also selectively improved risk stratification for pulmonary complications across at-risk primary cancer diagnoses (AUCclinical = 0.72; AUCcomposite = 0.80, P = 0.012). Overall, this PRS approach that leverages GxT interaction effects supports late effects risk prediction among childhood cancer survivors.Significance:This study develops a therapy-specific polygenic risk prediction model to more precisely identify childhood cancer survivors at high risk for pulmonary complications, which could help improve risk stratification for other late effects.

Supplementary Data with changes

PDF file - 56K, Diagnosis and treatment-related characteristics of the cancer survivor population (participants) and non-participants.

Purpose:We aimed to analyze and compare leukocyte telomere length (LTL) and age-dependent LTL attrition between childhood cancer survivors and noncancer controls, and to evaluate the associations of LTL with treatment exposures, chronic health conditions (CHC), and health behaviors among survivors.Experimental Design:We included 2,427 survivors and 293 noncancer controls of European ancestry, drawn from the participants in St. Jude Lifetime Cohort Study (SJLIFE), a retrospective hospital-based study with prospective follow-up (2007–2016). Common nonneoplastic CHCs (59 types) and subsequent malignant neoplasms (5 types) were clinically assessed. LTL was measured with whole-genome sequencing data.Results:After adjusting for age at DNA sampling, gender, genetic risk score based on 9 SNPs known to be associated with telomere length, and eigenvectors, LTL among survivors was significantly shorter both overall [adjusted mean (AM) = 6.20 kb; SE = 0.03 kb] and across diagnoses than controls (AM = 6.69 kb; SE = 0.07 kb). Among survivors, specific treatment exposures associated with shorter LTL included chest or abdominal irradiation, glucocorticoid, and vincristine chemotherapies. Significant negative associations of LTL with 14 different CHCs, and a positive association with subsequent thyroid cancer occurring out of irradiation field were identified. Health behaviors were significantly associated with LTL among survivors aged 18 to 35 years (Ptrend = 0.03).Conclusions:LTL is significantly shorter among childhood cancer survivors than noncancer controls, and is associated with CHCs and health behaviors, suggesting LTL as an aging biomarker may be a potential mechanistic target for future intervention studies designed to prevent or delay onset of CHCs in childhood cancer survivors.See related commentary by Walsh, p. 2281

Neuropsychological Event Grading in SJLIFE

Medical Event Grading in SJLIFE

Supplemental Figure Legend

Purpose:To identify genetic factors associated with risk of stroke among survivors of childhood cancer treated with cranial radiotherapy (CRT).Experimental Design:We analyzed whole-genome sequencing (36.8-fold) data of 686 childhood cancer survivors of European ancestry [median (range), 40.4 (12.4–64.7) years old; 54% male] from the St. Jude Lifetime Cohort study treated with CRT, of whom 116 (17%) had clinically diagnosed stroke. Association analyses (single-variant and Burden/SKAT tests) were performed, adjusting for demographic characteristics and childhood cancer treatment exposures.Results:We identified a genome-wide significant association between 5p15.33 locus and stroke [rs112896372: HR = 2.55; P = 1.42 × 10–8], with a stronger association (HR = 3.68) among survivors treated with CRT dose 25–50 Gray (Gy) and weaker associations among those treated with CRT doses 50 Gy (HRs = 2.14, 2.40, and 2.28). The association was replicated in 90 CRT-exposed African survivors (HR = 3.05; P = 0.034). In CRT-exposed Europeans, rs112896372 significantly (P < 0.001) improved predictive ability (AUC = 0.717) for determining stroke risk than nongenetic factors alone (AUC = 0.663) at 30 years since diagnosis, with significant improvement among African survivors (P = 0.047). SNP rs112896372 was further evaluated in three independent datasets including 1,641 European (HR = 1.54; P = 0.055) and 316 African survivors (HR = 1.88; P = 0.283) not treated with CRT, and 166,988 males in the UK Biobank (OR = 1.0012; P = 0.042).Conclusions:A novel locus 5p15.33 is associated with stroke risk among childhood cancer survivors, with a possible CRT dose-specific effect. The locus is of potential clinical utility in characterizing individuals who may benefit from surveillance and intervention strategies.

Cardiomyopathy occurs at significantly higher rates in survivors of childhood cancer than the general population, but few studies have evaluated racial or ethnic disparities, and none have assessed potential genetic factors contributing to this outcome. In this study, childhood cancer survivors of African ancestry exposed to cardiotoxic therapies (anthracyclines and/or heart radiotherapy; n = 246) were compared with cardiotoxic-exposed survivors of European ancestry (n = 1,645) in the St. Jude Lifetime Cohort. Genetic variants were examined using whole-genome sequencing data among survivors of African ancestry, first based on ejection fraction (EF) as a continuous outcome, followed by clinical history of cardiomyopathy. Survivors of African ancestry showed 1.53- and 2.47-fold risks of CTCAE grade 2–4 and grade 3–4 cardiomyopathy than survivors of European ancestry. A novel locus at 1p13.2 showed significant association with EF (rs6689879*C: EF reduction = 4.2%; P = 2.8 × 10−8) in 246 survivors of African ancestry, which was successfully replicated in 1,645 survivors of European ancestry but with attenuated magnitude (EF reduction = 0.4%; P = 0.042). In survivors of African ancestry, rs6689879*C showed a 5.43-fold risk of cardiomyopathy and 1.31-fold risk in those of European ancestry. Among survivors of African ancestry with rs6689879*C and CTCAE grade 2–4 cardiomyopathy, the PHTF1 promoter region was hypomethylated. Similar results were observed in survivors of European ancestry, albeit with reduced magnitudes of hypomethylation among those with rs6689879*C and CTCAE grade 2–4 cardiomyopathy. PHTF1 was upregulated in human-induced pluripotent stem cell-derived cardiomyocytes from patients with doxorubicin-induced cardiomyopathy. These findings have potential implications for long-term cardiac surveillance and up-front cancer care for patients of African ancestry.Significance:Childhood cancer survivors of African ancestry are at higher risk of cardiomyopathy than those of European ancestry, and a novel locus at 1p13.2 is associated with therapy-related cardiomyopathy specifically in African-American survivors.See related commentary by Brown and Richard, p. 2272

Supplementary Data from Leveraging Therapy-Specific Polygenic Risk Scores to Predict Restrictive Lung Defects in Childhood Cancer Survivors

Background Adult childhood cancer survivors are at risk for frailty, including low muscle mass and weakness (sarcopenia). Using peripheral blood mitochondrial DNA copy number (mtDNAcn) as a proxy for functional mitochondria, this study describes cross-sectional associations between mtDNAcn and sarcopenia among survivors. Methods Among 1762 adult childhood cancer survivors (51.6% male; median age = 29.4 years, interquartile range [IQR] = 23.3-36.8), with a median of 20.6 years from diagnosis (IQR = 15.2-28.2), mtDNAcn estimates were derived from whole-genome sequencing. A subset was validated by quantitative polymerase chain reaction and evaluated cross-sectionally using multivariable logistic regression for their association with sarcopenia, defined by race-, age-, and sex-specific low lean muscle mass or weak grip strength. All statistical tests were 2-sided. Results The prevalence of sarcopenia was 27.0%, higher among female than male survivors (31.5% vs 22.9%; P Conclusions A growing body of evidence supports peripheral blood mtDNAcn as a biomarker for adverse health outcomes; however, this study is the first to report an association between mtDNAcn and sarcopenia among childhood cancer survivors.

Background Some adult survivors of childhood cancers develop frailty at higher rates than expected based on their chronological age. This study examined the incidence of frailty among survivors at 10 or more years after diagnosis, frailty prevalence 5 years later, and risk factors for becoming frail. Methods Frailty was measured at study entry and 5 years later. Logistic regression tested the associations of several factors with having frailty at 5 years for all participants and separately by sex and by study entry frailty status. Cox models evaluated the hazard of death associated with entry frailty considering covariates. Results Cancer survivors (range = 0-22 years at diagnosis, median = 7 years) were ages 18-45 years (median = 30 years) at study entry. Frailty prevalence increased from 6.2% (95% confidence interval [CI] = 5.0% to 7.5%) to 13.6% (95% CI = 11.9% to 15.4%) at 5 years. Risk factors for frailty at follow-up among all survivors included chest radiation 20 Gy or higher (odds ratio [OR] = 1.98, 95% CI = 1.29 to 3.05), cardiac (OR = 1.58, 95% CI = 1.02 to 2.46), and neurological (OR = 2.58, 95% CI = 1.69 to 3.92) conditions; lack of strength training (OR = 1.74, 95% CI = 1.14 to 2.66); sedentary lifestyle (OR = 1.75, 95% CI = 1.18 to 2.59); and frailty at study entry (OR = 11.12, 95% CI = 6.64 to 18.61). The strongest risk factor for death during follow-up was prior frailty (OR = 3.52, 95% CI = 1.95 to 6.32). Conclusions Prevalent frailty more than doubled at 5 years after study entry among adult childhood cancer survivors. Frailty at entry was the strongest risk factor for death. Because treatment exposures cannot be changed, mitigation of other risk factors for frailty, including lack of strength training and sedentary lifestyle, may decrease risk of adverse health events and improve longevity in survivors.

Survivors of childhood cancer are at risk for developing various adverse health conditions as adults that are attributable to the cancer and treatments they were exposed to as children. Cancer survivorship research relies on large-scale, longitudinal studies that generate a wide range of demographic, clinical, and genetic data on cancer survivors at multiple time points. To maximize the utility of these comprehensive datasets, we must be able to store and share these datasets in a web-based environment that can be accessed by the broader survivorship research community. Furthermore, this environment should be integrated with analytical tools for performing statistical analyses on the stored data without needing to download the data and import it into third-party analytical software. To address this need, we have created the St. Jude Survivorship Portal (https://survivorship.stjude.cloud > Clinical Data Browser), a web-based data portal for exploring, sharing, and analyzing data from survivors of pediatric cancer. The portal hosts data from two large cohorts of pediatric cancer survivors: the St. Jude Lifetime Cohort Study and the Childhood Cancer Survivor Study. The data stored on the portal consists of demographic data, clinical data, including cancer diagnosis, cancer treatment, clinical outcomes, and patient-reported data, and genetic data, including whole-genome-sequencing-derived genotypes and published polygenic risk scores computed for >500 traits. This data is organized hierarchically in a data dictionary that can be easily explored by the user. Charts and plots of variables can be quickly created, customized, and stratified with other variables, all within the portal environment. Statistical analyses, including cumulative incidence analysis and regression analysis, may also be performed within the portal. In cumulative incidence analysis, users can analyze the incidence of a variety of CTCAE-graded adverse events (e.g., cardiovascular dysfunction, neurological disorders, subsequent neoplasms) in survivors and can also compare them across different survivor populations defined by other variables. In regression analysis, users have the option to perform either a linear, logistic, or cox regression analysis and may use any of the demographic, clinical, or genetic variables on the portal as outcome or explanatory variables in the analysis. In this way, users can assess any risk factor associations within a survivor cohort and generate predictive models for outcomes of interest. Lastly, we also provide the user with the option to download the data on the portal for use in any future analyses. The St. Jude Survivorship Portal provides a comprehensive, powerful, and easy-to-use interface for sharing and analyzing childhood cancer survivorship data that will serve as a valuable research tool for the broader survivorship research community. Citation Format: Gavriel Matt, Edgar Sioson, Jaimin Patel, Jian Wang, Robin Paul, Colleen Reilly, Congyu Lu, Kyla Shelton, Qi Liu, Weiyu Qiu, Cindy Im, Zhaoming Wang, Carmen L. Wilson, Nickhill Bhakta, Kirsten Ness, Gregory T. Armstrong, Melissa M. Hudson, Leslie L. Robison, Jinghui Zhang, Yutaka Yasui, Xin Zhou. St. Jude Survivorship Portal: A data portal for storing, analyzing, and sharing large and complex cancer survivorship datasets. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4513.

Effective data sharing is key to accelerating research to improve diagnostic precision, treatment efficacy, and long-term survival in pediatric cancer and other childhood catastrophic diseases. We present St. Jude Cloud (https://www.stjude.cloud), a cloud-based data-sharing ecosystem for accessing, analyzing, and visualizing genomic data from >10,000 pediatric patients with cancer and long-term survivors, and >800 pediatric sickle cell patients. Harmonized genomic data totaling 1.25 petabytes are freely available, including 12,104 whole genomes, 7,697 whole exomes, and 2,202 transcriptomes. The resource is expanding rapidly, with regular data uploads from St. Jude's prospective clinical genomics programs. Three interconnected apps within the ecosystem—Genomics Platform, Pediatric Cancer Knowledgebase, and Visualization Community—enable simultaneously performing advanced data analysis in the cloud and enhancing the Pediatric Cancer knowledgebase. We demonstrate the value of the ecosystem through use cases that classify 135 pediatric cancer subtypes by gene expression profiling and map mutational signatures across 35 pediatric cancer subtypes. Significance: To advance research and treatment of pediatric cancer, we developed St. Jude Cloud, a data-sharing ecosystem for accessing >1.2 petabytes of raw genomic data from >10,000 pediatric patients and survivors, innovative analysis workflows, integrative multiomics visualizations, and a knowledgebase of published data contributed by the global pediatric cancer community. This article is highlighted in the In This Issue feature, p. 995

Background: Survivors of childhood cancer have an increased risk of therapy-related cardiovascular disease. It is not known whether family history of cardiovascular disease further increases risk of adverse cardiovascular outcomes among survivors. Methods: Family history of cardiovascular disease was collected from 1,260 survivors [median age at diagnosis, 8 years (range, 0–23); age at last follow-up, 35 years (range, 18–66)] of childhood cancer in the St. Jude Lifetime Cohort Study. Multivariable risk models evaluated associations with cardiovascular disease (Common Terminology Criteria for Adverse Events grade 2–4 events) and cardiovascular risk factors. Results: Among survivors exposed to chest-directed radiation and/or anthracycline chemotherapy (n = 824), 7% reported a first-degree family history of heart failure, 19% myocardial infarction, 11% stroke, 26% atherosclerotic disease (myocardial infarction and/or stroke), 62% hypertension, and 31% diabetes mellitus. Eighteen percent of exposed survivors developed heart failure, 9% myocardial infarction, 3% stroke, 11% atherosclerotic disease, 30% hypertension, and 9% diabetes mellitus. Having a first-degree family history of atherosclerotic disease was independently associated with development of treatment-related heart failure [RR, 1.38; 95% confidence interval (CI), 1.01–1.88; P = 0.04] among exposed survivors. Risk for hypertension was increased among exposed survivors with a first-degree family history of hypertension (RR, 1.55; 95% CI, 1.26–1.92; P < 0.0001) or of any cardiovascular disease [myocardial infarction, stroke, or heart failure (RR, 1.30; 95% CI, 1.06–1.59; P = 0.01)]. Conclusions: Family history of cardiovascular disease and cardiovascular risk factors independently increased risk of heart failure and hypertension among survivors of childhood cancer exposed to cardiotoxic therapies. Impact: These data show the importance of cardiovascular family history as a risk factor for cardiovascular disease in survivors of childhood cancer.

Childhood cancer survivors treated with radiation therapy (RT) and osteotoxic chemotherapies are at increased risk for fractures. However, understanding of how genetic and clinical susceptibility factors jointly contribute to fracture risk among survivors is limited. To address this gap, we conducted genome-wide association studies of fracture risk after cancer diagnosis in 2,453 participants of European ancestry from the Childhood Cancer Survivor Study (CCSS) with 930 incident fractures using Cox regression models (i.e., time-to-event analysis) and prioritized sex- and treatment-stratified genetic associations. We performed replication analyses in 1,417 survivors of European ancestry with 652 incident fractures from the St. Jude Lifetime Cohort Study (SJLIFE). In discovery, we identified a genome-wide significant (P36 Gray only: HR=3.79, 95% CI: 1.95–7.34, P=8.2×10(−5)). These head/neck RT-specific HAGHL SNP effects were replicated in female SJLIFE survivors. In silico bioinformatics analyses suggest these fracture risk alleles regulate HAGHL gene expression and related bone resorption pathways. Genetic risk profiles integrating this locus may help identify female survivors who would benefit from targeted interventions to reduce fracture risk.

Background Mounting evidence supports the occurrence of accelerating aging among long-term survivors of childhood cancer. We aimed to investigate epigenetic age acceleration (EAA) in survivors and evaluate associations between EAA, treatment exposures, health behaviors, and chronic health conditions (CHCs). Methods Genome-wide methylation data were generated with Infinium EPIC BeadChip on blood-derived DNA from 2139 survivors and 282 frequency matched controls from the St Jude Lifetime Cohort Study. EAAs were estimated as residuals from a linear regression of epigenetic age (Levine’s clock) against chronological age. Adjusted least square mean (ALSM) of EAA was calculated and compared between survivors and controls, across treatment exposures and health behaviors. Associations of EAA with 20 clinically assessed CHCs were evaluated with multivariable piecewise-exponential models. All statistical tests for P values below were 2-sided. Results EAA was statistically significantly higher in survivors than controls (ALSM = 0.63, 95% confidence interval [CI] = 0.26 to 1.01 vs −3.61, 95% CI = −4.43 to 2.80). In a multivariable model among survivors, statistically significantly higher EAA (P Conclusions EAA is statistically significantly higher in survivors of childhood cancer than in noncancer controls and is associated with specific treatment exposures, unfavorable health behaviors, and presence of specific CHCs.

Background: We aimed to characterize body composition, metabolic impairments, and physical performance among survivors of pediatric abdominal and pelvic solid tumors. Methods: Participants included 431 survivors of abdominal or pelvic tumors [median attained age = 29.9 (range: 18.7–55.1) years]. Relative lean mass and fat mass were assessed with dual X-ray absorptiometry. Metabolic outcomes [insulin resistance (IR), high-density lipoprotein (HDL), low-density lipoprotein, and triglycerides] were based on laboratory values and medication usage. General linear regression evaluated associations between treatment and lifestyle with body composition; binomial regression evaluated associations between body composition and metabolic outcomes and physical performance. Results: Lean mass was lower than values from the National Health and Nutrition Examination Survey (NHANES) in males (Z-score = −0.67 ± 1.27; P < 0.001) and females (Z-score = −0.72 ± 1.28; P < 0.001). Higher cumulative abdominal and pelvic radiation doses were associated with lower lean mass among males [abdominal: β = −0.22 (SE) ± 0.07; P = 0.002 and pelvic: β = −0.23 ± 0.07; P = 0.002] and females (abdominal: β = −0.30 ± 0.09; P = 0.001 and pelvic: β = −0.16 ± 0.08; P = 0.037). Prevalence of IR (40.6% vs. 33.8%; P = 0.006), low HDL (28.9% vs. 33.5%; P = 0.046), and high triglycerides (18.4% vs. 10.0%; P < 0.001) was increased among survivors relative to NHANES. Compared with survivors with normal/high lean mass and normal/low fat mass, survivors with normal/high lean mass and high fat mass had an increased risk of IR (P < 0.001), low HDL (P < 0.001), reduced quadriceps strength at 60°/second (P < 0.001) and 300°/second (P < 0.001), and reduced distance covered in the 6-minute walk (P < 0.01). Conclusions: Abdominal/pelvic radiotherapy is associated with body composition changes that can adversely influence metabolic outcomes and performance status among survivors. Impact: Interventions targeting body composition may facilitate management of cardiovascular disease risk in this population.

Exposure to high doses of alkylating agents is associated with increased risk of impaired spermatogenesis among nonirradiated male survivors of childhood cancer, but there is substantial variation in this risk. Here we conducted a genetic study for impaired spermatogenesis utilizing whole-genome sequencing data from 167 nonirradiated male childhood cancer survivors of European ancestry from the St. Jude Lifetime Cohort treated with cyclophosphamide equivalent dose (CED) ≥4,000 mg/m2. Sperm concentration from semen analysis was assessed as the primary outcome. Common variants (MAF > 0.05) were adjusted for age at cancer diagnosis, CED, and top principal components. Rare/low-frequency variants (MAF ≤ 0.05) were evaluated jointly by various functional annotations and 4-kb sliding windows. A novel locus at 7q21.3 containing TAC1/ASNS was associated with decreased sperm concentration (rs7784118: P = 3.5 × 10−8). This association was replicated in two independent samples of SJLIFE survivors of European ancestry, including 34 nonirradiated male survivors treated with 0 < CED < 4,000 mg/m2 (P = 3.1 × 10−4) and 24 male survivors treated with CED ≥4,000 mg/m2 and radiotherapy 0.29). rs7784118 conferred 3.48- and 9.73-fold increases in risk for clinically defined oligospermia and azoospermia and improved prediction of normospermic, oligospermic, and azoospermic states by 13.7%, 5.3%, and 21.7%. rs7784118 was associated with decreased testosterone level, increased levels of follicle stimulating and luteinizing hormones, and 8.52-fold increased risk of Leydig cell failure. Additional research is warranted to determine how this SNP influences spermatogenesis and to assess its clinical utility in characterizing high-risk survivors and guiding intervention strategies. Significance: The identified genetic markers harbor potential clinical utility in characterizing high-risk survivors and guiding intervention strategies including pretreatment patient counseling and use of fertility preservation services.

PURPOSE To investigate cancer treatment plus pathogenic germline mutations (PGMs) in DNA repair genes (DRGs) for identification of childhood cancer survivors at increased risk of subsequent neoplasms (SNs). METHODS Whole-genome sequencing was performed on blood-derived DNA from survivors in the St Jude Lifetime Cohort. PGMs were evaluated in 127 genes from 6 major DNA repair pathways. Cumulative doses of chemotherapy and body region–specific radiotherapy (RT) were abstracted from medical records. Relative rates (RRs) and 95% CIs of SNs by mutation status were estimated using multivariable piecewise exponential models. RESULTS Of 4,402 survivors, 495 (11.2%) developed 1,269 SNs. We identified 538 PGMs in 98 DRGs ( POLG, MUTYH, ERCC2, and BRCA2, among others) in 508 (11.5%) survivors. Mutations in homologous recombination (HR) genes were significantly associated with an increased rate of subsequent female breast cancer (RR, 3.7; 95% CI, 1.8 to 7.7), especially among survivors with chest RT ≥ 20 Gy (RR, 4.4; 95% CI, 1.6 to 12.4), or with a cumulative dose of anthracyclines in the second or third tertile (RR, 4.4; 95% CI, 1.7 to 11.4). Mutations in HR genes were also associated with an increased rate of subsequent sarcoma among those who received alkylating agent doses in the third tertile (RR, 14.9; 95% CI, 4.0 to 38.0). Mutations in nucleotide excision repair genes were associated with subsequent thyroid cancer for those treated with neck RT ≥ 30 Gy (RR, 12.9; 95% CI, 1.6 to 46.6) with marginal statistical significance. CONCLUSION Our study provides novel insights regarding the contribution of genetics, in combination with known treatment-related risks, for the development of SNs. These findings have the potential to facilitate identification of high-risk survivors who may benefit from genetic counseling and/or testing of DRGs, which may further inform personalized cancer surveillance and prevention strategies.

BACKGROUND The objective of this study was to characterize chronic disease, health-related quality of life (HRQOL), emotional distress, and social attainment among long-term survivors of neuroblastoma. METHODS Chronic health conditions among 136 ≥10-year neuroblastoma survivors (median age, 31.9 years; range, 20.2-54.6 years) and 272 community controls (median age, 34.7 years; range, 18.3-59.6 years) were graded with a modified version of the Common Terminology Criteria for Adverse Events (version 4.03). HRQOL and emotional distress were assessed with the Medical Outcomes Study 36-Item Short Form Health Survey and the Brief Symptom Inventory-18. Log-binomial regression and logistic regression were used to compare the prevalence of chronic conditions and the frequency of reduced HRQOL, distress, and social attainment between survivors and controls. The cumulative burden approach was used to estimate multimorbidity. RESULTS By the age of 35 years, survivors had experienced, on average, 8.5 grade 1 to 5 conditions (95% confidence interval [CI], 7.6-9.3), which was higher than the average for controls (3.3; 95% CI, 2.9-3.7). Compared with controls, survivors had a higher prevalence of any pulmonary (P = .003), auditory (P

Adult survivors of childhood cancer have high rates of obesity, which, in combination with the cardiotoxic effects of specific cancer therapies, places them at high risk for cardiovascular morbidity. Here we show the contribution of genetic risk scores (GRSs) to increase prediction of those survivors of childhood cancer who are at risk for severe obesity (body mass index ≥40 kg m

BACKGROUND Data on primary hypothyroidism and its long-term impact on the health, cognition, and quality of life (QOL) of childhood cancer survivors are limited. This study examined the prevalence of and risk factors for primary hypothyroidism and its associations with physical, neurocognitive, and psychosocial outcomes. METHODS This was a retrospective study with a cross-sectional health outcome analysis of an established cohort comprising 2965 survivors of childhood cancer (52.8% male; median current age, 30.9 years, median time since cancer diagnosis, 22.3 years). Multivariable logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs) for associations between primary hypothyroidism and cancer-related risk factors, cardiovascular disease risk factors, frailty, neurocognitive and QOL outcomes, social attainment, and subsequent thyroid carcinoma. Associations between serum free thyroxine and thyrotropin levels at assessment and health outcomes were explored. RESULTS The prevalence of primary hypothyroidism was 14.7% (95% CI, 13.5%-16.0%). It was more likely in females (OR, 1.06; 95% CI, 1.03-1.08), was less likely in non-Whites (OR, 0.96; 95% CI, 0.93-0.99), was associated with thyroid radiotherapy (higher risk at higher doses), and was more common if cancer was diagnosed at an age ≥ 15.0 years versus an age

Background: Subsequent thyroid cancer (STC) is one of the most common malignancies in childhood cancer survivors. We aimed to evaluate the polygenic contributions to STC risk and potential utility in improving risk prediction. Methods: A polygenic risk score (PRS) was calculated from 12 independent SNPs associated with thyroid cancer risk in the general population. Associations between PRS and STC risk were evaluated among survivors from St. Jude Lifetime Cohort (SJLIFE) and were replicated in survivors from Childhood Cancer Survivor Study (CCSS). A risk prediction model integrating the PRS and clinical factors, initially developed in SJLIFE, and its performance were validated in CCSS. Results: Among 2,370 SJLIFE survivors with a median follow-up of 28.8 [interquartile range (IQR) = 21.9–36.1] years, 65 (2.7%) developed STC. Among them, the standardized PRS was associated with an increased rate of STC [relative rate (RR) = 1.57; 95% confidence interval (CI) = 1.24–1.98; P < 0.001]. Similar associations were replicated in 6,416 CCSS survivors, among whom 121 (1.9%) developed STC during median follow-up of 28.9 (IQR = 22.6–34.6) years (RR = 1.52; 95% CI = 1.25–1.83; P < 0.001). A risk prediction model integrating the PRS with clinical factors showed better performance than the model considering only clinical factors in SJLIFE (P = 0.004, AUC = 83.2% vs. 82.1%, at age 40), which was further validated in CCSS (P = 0.010, AUC = 72.9% vs. 70.6%). Conclusions: Integration of the PRS with clinical factors provided a statistically significant improvement in risk prediction of STC, although the magnitude of improvement was modest. Impact: PRS improves risk stratification and prediction of STC, suggesting its potential utility for optimizing screening strategies in survivorship care.

Background Greater than one-half of children who are treated for acute lymphoblastic leukemia (ALL) develop ≥1 treatment-related medical conditions in their lifetime, many of which are known risk factors for diabetes mellitus. In the current study, the authors evaluated the prevalence and risk factors of diabetes mellitus among clinically assessed adult survivors of childhood ALL METHODS: The authors performed a retrospective evaluation of data from survivors of ALL and community controls who were enrolled in the St. Jude Lifetime Cohort Study between October 1, 2007, and June 30, 2016. Participants were adults with ≥10 years of survival of childhood ALL and community controls who completed clinical and laboratory evaluations. Data for the current analysis were abstracted from medical records. Exposures evaluated herein included chemotherapy and radiation exposures and medical history, including drug-induced diabetes mellitus. Results Of 1360 eligible adults who were ≥10-year survivors of childhood ALL, a total of 1044 completed the evaluations; these individuals had a mean age of 33.97±9.14 years and 50.86% were male. The 368 controls, 45.65% of whom were male, had a mean age of 35.33±10.21 years. Type 2 diabetes mellitus (T2DM) was found in approximately 7.47% of survivors and 3.80% of controls (odds ratio [OR], 2.07; 95% CI, 1.11-3.87). In adjusted models, among survivors, older age (OR, 1.05 for each additional year; 95% CI, 1.02-1.08), body mass index ≥30 kg/m2 (OR, 7.40; 95% CI, 2.61-20.97), and drug-induced diabetes mellitus occurring during ALL therapy (OR, 4.67; 95% CI, 2.53-8.61) were found to be associated with T2DM. Conclusions Adult survivors of childhood ALL are at an increased risk of T2DM. Adult survivors of childhood ALL who are of older age, with an overweight or obese body mass index, and/or who developed drug-induced diabetes mellitus during treatment should be closely monitored for T2DM during long-term follow-up.

Survivors of childhood cancer are at risk for a spectrum of adverse outcomes including hematological malignancies and cardiovascular diseases, which in other populations have been associated with clonal hematopoiesis (CH), an age-related clonal expansion of hematopoietic stem cells. Here we present the first comprehensive CH analysis including 2,872 pediatric cancer survivors from the St. Jude Lifetime Cohort (median follow-up of 26 years from cancer diagnosis; median age of 31 years at blood draw) using deep sequencing (10,000 ×) over 39 CH genes on DNA derived from peripheral blood. As a comparison group, 324 age-, sex- and race/ethnicity-frequency-matched community controls (median age of 35 years at blood draw) were also analyzed. To detect rare CH variants, a machine-learning approach was applied, which characterized true variants as outliers in a genomic context-specific error profile. Digital droplet PCR validation was performed for 543 variants (323 positive [allele frequency: median 0.003, range 0.001 to 0.255] and 220 negative) out of 1,450 putative variants. The 907 untested variants were inferred using the 543 experimentally validated variants’ status as a training set. Analyses considered mutation status by the 555 positive variants and clinical data including age, sex, and detailed cancer treatment exposures. CH was detected in 15% (95% Confidence Interval (CI): 13.7 to 16.3) of survivors and 8.6% (95% CI: 5.6 to 11.7) of controls in an age-dependent manner: 10.6% (survivors) vs. 6.3% (controls) for ages in year 18 - 29; 13.5% vs. 5.8% for 30 - 39; 26.3% vs. 13.2% for 40 - 49; 28.1% vs. 17.2% for > 50. We also observed that the alterations in DNMT3A, TP53, STAT3, KRAS and TET2 became more prevalent as the survivors aged: combined proportion for the 5 genes, 61% for ages in year < 30; 72% for 30 - 40; 77% for 40 - 50; 87% for > 50. Analysis of longitudinal samples available for 73 survivors with 180 time points (median interval 4.6 years [range: 2.07 to 8.0 years]) confirmed that clones with these gene mutations had a higher growth rate than those without (p=0.034), suggesting fitness advantages in hematopoietic stem cell context. Multivariable analysis adjusted for treatment indicated that CH development is associated with cumulative dose of alkylating agents (Odds Ratio (OR) for 1st tertile 1.77 [95% CI: 1.22 to 2.57], 2nd tertile 2.72 [95% CI: 1.83 to 4.04], and 3rd tertile 2.92 [95% CI: 2.03 to 4.02], relative to the unexposed) and estimated radiotherapy-dose to active bone marrow (OR for 1st tertile 0.98 [95% CI: 0.68 to 1.40], 2nd tertile 1.06 [0.77 to 1.47], and 3rd tertile 1.57 [1.15 to 2.14], relative to the unexposed), supporting the hypothesis that CH development in survivors is primarily driven by prior therapy. This study identified accelerated CH development in pediatric cancer survivors, which may represent an important genomic biomarker predictive of future adverse health risks. Citation Format: Kohei Hagiwara, Zhaoming Wang, Haseeb Zubair, John Easton, Heather L. Mulder, Xiaotu Ma, Kristen K. Ness, Zhenghong Li, Daniel A. Mulrooney, Carmen L. Wilson, Yutaka Yasui, Melissa M. Hudson, Leslie L. Robison, Jinghui Zhang. Accelerated clonal hematopoiesis in survivors of childhood cancer: A report for the St. Jude Lifetime Cohort Study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 499.

Background: Childhood cancer survivors are at elevated risk for motor and/or sensory neuropathy. The study aims to evaluate the concordance between self-report peripheral neuropathy compared with clinically ascertained peripheral neuropathy, and to identify factors associated with misclassification of peripheral neuropathy among survivors. Methods: The concordance between self-report and clinically ascertained peripheral neuropathy was evaluated among 2,933 5+ years old childhood cancer survivors (mean age 33.3, SD = 8.9). The sensitivity, specificity, and accuracy of self-report peripheral motor neuropathy (PMN) and peripheral sensory neuropathy (PSN) were calculated with reference to clinically assessed peripheral neuropathy. Results: Female survivors were more likely than male survivors to have clinically ascertained PMN (8.4% vs. 5.6%, P = 0.004). For females, having either PSN or PMN the most sensitive, specific, and accurate self-reported symptom was endorsing ≥2 symptoms on the self-report questionnaire (43.2%, 90.3%, and 85.2%, respectively), with kappa of 0.304. For males, having either PSN or PMN the most sensitive, specific, and accurate self-reported symptom was endorsing ≥2 symptoms on the self-report questionnaire (38.8%, 90.5%, and 86.3%, respectively) with kappa of 0.242. Age at diagnosis, emotional distress, and reporting pain in legs in the past 4 weeks were associated with an increased risk for false-positive reporting of peripheral neuropathy. Race (White), age at assessment, and emotional distress were associated with increased risk for false-negative reporting of peripheral neuropathy. Conclusions: Agreement between self-report and clinically ascertained peripheral neuropathy was poor in survivors. Choosing self-report versus clinical ascertained peripheral neuropathy should be carefully considered. Impact: The current study identifies the need for a self-report questionnaire that accurately assesses symptoms of peripheral neuropathy among cancer survivors.