Dataset Information

Germline Genetic and Treatment-Related Risk Factors for Diabetes Mellitus in Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study and St Jude Lifetime Cohorts.

ABSTRACT:

Purpose

To characterize germline genetic risk factors of diabetes mellitus among long-term survivors of childhood cancer.

Methods

Adult survivors of childhood cancer from the Childhood Cancer Survivor Study (CCSS) Original Cohort (n = 5,083; 383 with diabetes) were used to conduct a discovery genome-wide association study. Replication was performed using the CCSS Expansion (n = 2,588; 40 with diabetes) and the St Jude Lifetime (SJLIFE; n = 3,351; 208 with diabetes) cohorts. Risk prediction models, stratified on exposure to abdominal radiation, were calculated using logistic regression including attained age, sex and body mass index, diagnosis, alkylating chemotherapy, age at cancer diagnosis, and a polygenic risk score (PRS) on the basis of 395 diabetes variants from the general population. Area under the receiver operating characteristic curve (AUC) was calculated for models on the basis of traditional risk factors, clinical risk factors, and PRS.

Results

There was a genome-wide significant association of rs55849673-A with diabetes among survivors (odds ratio, 2.9; 95% CI, 2.0 to 4.2; P = 3.7 × 10^-8), which is related to expression of ERCC6L2 in the Genotype-Tissue Expression project. The association of rs55849673-A was observed largely among survivors not exposed to abdominal radiation (odds ratio = 3.5, P = 1.1 × 10^-7) and the frequency of rs55849673-A was consistently higher among diabetic survivors in the CCSS Expansion and SJLIFE cohorts. Risk prediction models including traditional diabetes risk factors, clinical risk factors and PRS had an optimism-corrected AUC of 0.801, with an AUC of 0.751 in survivors treated with abdominal radiation versus 0.813 in survivors who did not receive abdominal radiation.

Conclusion

There is evidence for a novel locus of diabetes among survivors not exposed to abdominal radiation. Further refinement and validation of clinic-based risk prediction models for diabetes among long-term survivors of childhood cancer is warranted.

SUBMITTER: Richard MA

PROVIDER: S-EPMC10166479 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Publications

Germline Genetic and Treatment-Related Risk Factors for Diabetes Mellitus in Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study and St Jude Lifetime Cohorts.

Richard Melissa A MA Mostoufi-Moab Sogol S Rathore Nisha N Baedke Jessica J Brown Austin L AL Chanock Stephen J SJ Friedman Danielle N DN Gramatges M Monica MM Howell Rebecca M RM Kamdar Kala Y KY Leisenring Wendy M WM Meacham Lillian R LR Morton Lindsay M LM Oeffinger Kevin K Robison Leslie L LL Sapkota Yadav Y Sklar Charles A CA Armstrong Gregory T GT Bhatia Smita S Lupo Philip J PJ

JCO precision oncology 20221201

<h4>Purpose</h4>To characterize germline genetic risk factors of diabetes mellitus among long-term survivors of childhood cancer.<h4>Methods</h4>Adult survivors of childhood cancer from the Childhood Cancer Survivor Study (CCSS) Original Cohort (n = 5,083; 383 with diabetes) were used to conduct a discovery genome-wide association study. Replication was performed using the CCSS Expansion (n = 2,588; 40 with diabetes) and the St Jude Lifetime (SJLIFE; n = 3,351; 208 with diabetes) cohorts. Risk p ...[more]

PMID: 36480781

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Project description:BackgroundCarriers of cancer predisposing variants are at an increased risk of developing subsequent malignant neoplasms among those who have survived childhood cancer. We aimed to investigate whether cancer predisposing variants contribute to the risk of subsequent malignant neoplasm-related late mortality (5 years or more after diagnosis).MethodsIn this analysis, data were included from two retrospective cohort studies, St Jude Lifetime Cohort (SJLIFE) and the Childhood Cancer Survivor Study (CCSS), with prospective follow-up of patients who were alive for at least 5 years after diagnosis with childhood cancer (ie, long-term childhood cancer survivors) with corresponding germline whole genome or whole exome sequencing data. Cancer predisposing variants affecting 60 genes associated with well-established autosomal-dominant cancer-predisposition syndromes were characterised. Subsequent malignant neoplasms were graded using the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE) version 4.03 with modifications. Cause-specific late mortality was based on linkage with the US National Death Index and systematic cohort follow up. Fine-Gray subdistribution hazard models were used to estimate subsequent malignant neoplasm-related late mortality starting from the first biospecimen collection, treating non-subsequent malignant neoplasm-related deaths as a competing risk, adjusting for genetic ancestry, sex, age at diagnosis, and cancer treatment exposures. SJLIFE (NCT00760656) and CCSS (NCT01120353) are registered with ClinicalTrials.gov.Findings12 469 (6172 male and 6297 female) participants were included, 4402 from the SJLIFE cohort (median follow-up time since collection of the first biospecimen 7·4 years [IQR 3·1-9·4]) and 8067 from the CCSS cohort (median follow-up time since collection of the first biospecimen 12·6 years [2·2-16·6]). 641 (5·1%) of 12 469 participants carried cancer predisposing variants (294 [6·7%] in the SJLIFE cohort and 347 [4·3%] in the CCSS cohort), which were significantly associated with an increased severity of subsequent malignant neoplasms (CTCAE grade ≥4 vs grade <4: odds ratio 2·15, 95% CI 1·18-4·19, p=0·0085). 263 (2·1%) subsequent malignant neoplasm-related deaths (44 [1·0%] in the SJLIFE cohort; and 219 [2·7%] in the CCSS cohort) and 426 (3·4%) other-cause deaths (103 [2·3%] in SJLIFE; and 323 [4·0%] in CCSS) occurred. Cumulative subsequent malignant neoplasm-related mortality at 10 years after the first biospecimen collection in carriers of cancer predisposing variants was 3·7% (95% CI 1·2-8·5) in SJLIFE and 6·9% (4·1-10·7) in CCSS versus 1·5% (1·0-2·1) in SJLIFE and 2·1% (1·7-2·5) in CCSS in non-carriers. Carrying a cancer predisposing variant was associated with an increased risk of subsequent malignant neoplasm-related mortality (SJLIFE: subdistribution hazard ratio 3·40 [95% CI 1·37-8·43]; p=0·0082; CCSS: 3·58 [2·27-5·63]; p<0·0001).InterpretationIdentifying participants at increased risk of subsequent malignant neoplasms via genetic counselling and clinical genetic testing for cancer predisposing variants and implementing early personalised cancer surveillance and prevention strategies might reduce the substantial subsequent malignant neoplasm-related mortality burden.FundingAmerican Lebanese Syrian Associated Charities and US National Institutes of Health.

Project description:BackgroundCancer treatment can cause gonadal impairment. Acute ovarian failure is defined as the permanent loss of ovarian function within 5 years of cancer diagnosis. We aimed to develop and validate risk prediction tools to provide accurate clinical guidance for paediatric patients with cancer.MethodsIn this cohort study, prediction models of acute ovarian failure risk were developed using eligible female US and Canadian participants in the Childhood Cancer Survivor Study (CCSS) cohort and validated in the St Jude Lifetime Cohort (SJLIFE) Study. 5-year survivors from the CCSS cohort were included if they were at least 18 years old at their most recent follow-up and had complete treatment exposure and adequate menstrual history (including age at menarche, current menstrual status, age at last menstruation, and menopausal aetiology) information available. Participants in the SJLIFE cohort were at least 10-year survivors. Participants were excluded from the prediction analysis if they had an ovarian hormone deficiency, had missing exposure information, or had indeterminate ovarian status. The outcome of acute ovarian failure was defined as permanent loss of ovarian function within 5 years of cancer diagnosis or no menarche after cancer treatment by the age of 18 years. Logistic regression, random forest, and support vector machines were used as candidate methods to develop the risk prediction models in the CCSS cohort. Prediction performance was evaluated internally (in the CCSS cohort) and externally (in the SJLIFE cohort) using the areas under the receiver operating characteristic curve (AUC) and the precision-recall curve (average precision [AP; average positive predictive value]).FindingsData from the CCSS cohort were collected for participants followed up between Nov 3, 1992, and Nov 25, 2016, and from the SJLIFE cohort for participants followed up between Oct 17, 2007, and April 16, 2012. Of 11 336 female CCSS participants, 5886 (51·9%) met all inclusion criteria for analysis. 1644 participants were identified from the SJLIFE cohort, of whom 875 (53·2%) were eligible for analysis. 353 (6·0%) of analysed CCSS participants and 50 (5·7%) of analysed SJLIFE participants had acute ovarian failure. The overall median follow-up for the CCSS cohort was 23·9 years (IQR 20·4-27·9), and for SJLIFE it was 23·9 years (19·0-30·0). The three candidate methods (logistic regression, random forest, and support vector machines) yielded similar results, and a prescribed dose model with abdominal and pelvic radiation doses and an ovarian dose model with ovarian radiation dosimetry using logistic regression were selected. Common predictors in both models were history of haematopoietic stem-cell transplantation, cumulative alkylating drug dose, and an interaction between age at cancer diagnosis and haematopoietic stem-cell transplant. External validation of the model in the SJLIFE cohort produced an estimated AUC of 0·94 (95% CI 0·90-0·98) and AP of 0·68 (95% CI 0·53-0·81) for the ovarian dose model, and AUC of 0·96 (0·94-0·97) and AP of 0·46 (0·34-0·61) for the prescribed dose model. Based on these models, an online risk calculator has been developed for clinical use.InterpretationBoth acute ovarian failure risk prediction models performed well. The ovarian dose model is preferred if ovarian radiation dosimetry is available. The models, along with the online risk calculator, could help clinical discussions regarding the need for fertility preservation interventions in girls and young women newly diagnosed with cancer.FundingCanadian Institutes of Health Research, Women and Children's Health Research Institute, National Cancer Institute, and American Lebanese Syrian Associated Charities.

Project description:IntroductionThere is a growing population of childhood cancer survivors at risk for adverse outcomes, including sexual dysfunction.AimTo estimate the prevalence of and risk factors for sexual dysfunction among adult female survivors of childhood cancer and evaluate associations between dysfunction and psychological symptoms/quality of life (QOL).MethodsFemale survivors (N = 936, mean 7.8 ± 5.6 years at diagnosis; 31 ± 7.8 years at evaluation) and noncancer controls (N = 122) participating in the St. Jude Lifetime Cohort Study completed clinical evaluations, Sexual Functioning Questionnaires (SFQ), and Medical Outcomes Survey Short Forms 36 (SF-36). Linear models compared SFQ scores between sexually active survivors (N = 712) and controls; survivors with scores <10th percentile of controls were classified with sexual dysfunction. Logistic regression evaluated associations between survivor characteristics and sexual dysfunction, and between sexual dysfunction and QOL.OutcomesSexual dysfunction was defined by scores <10th percentile of noncancer controls on the SFQ overall, as well as the domains of arousal, interest, orgasm, and physical problems, while QOL was measured by scores on the SF-36 with both physical and mental summary scales.ResultsSexual dysfunction was prevalent among 19.9% (95% CI 17.1, 23.1) of survivors. Those diagnosed with germ cell tumors (OR = 8.82, 95% CI 3.17, 24.50), renal tumors (OR = 4.49, 95% CI 1.89, 10.67), or leukemia (OR = 3.09, 95% CI 1.50, 6.38) were at greater risk compared to controls. Age at follow-up (45-54 vs 18-24 years; OR = 5.72, 95% CI 1.87, 17.49), pelvic surgery (OR = 2.03, 95% CI 1.18, 3.50), and depression (OR = 1.96, 95% CI 1.10, 3.51) were associated with sexual dysfunction. Hypogonadism receiving hormone replacement (vs nonmenopausal/nonhypogonadal; OR = 3.31, 95% CI 1.53, 7.15) represented an additional risk factor in the physical problems (eg, vaginal pain and dryness) subscale. Survivors with sexual dysfunction, compared to those without sexual dysfunction, were more likely to score <40 on the physical (21.1% vs 12.7%, P = .01) and mental health (36.5% vs 18.2%, P < .01) summary scales of the SF-36. Only 2.9% of survivors with sexual dysfunction reported receiving intervention.Clinical implicationsHealth care providers should be aware of the increased risk of sexual dysfunction in this growing population, inquire about symptomology, and refer for appropriate intervention.Strengths & limitationsStrengths of this study include the use of a validated tool for evaluating sexual function in a large population of clinically assessed female childhood cancer survivors. Limitations include potential for selection bias, and lack of clinically confirmed dysfunction.ConclusionSexual dysfunction is prevalent among female childhood cancer survivors and few survivors receive intervention; further research is needed to determine if those with sexual dysfunction would benefit from targeted interventions. Bjornard KL, Howell CR, Klosky JL, et al. Psychosexual Functioning of Female Childhood Cancer Survivors: A Report From the St. Jude Lifetime Cohort Study. J Sex Med 2020;17:1981-1994.

Project description:BackgroundSuicide is a serious public health concern. An increased risk of suicide ideation previously has been reported among survivors of childhood cancer.MethodsSuicide mortality was assessed for all potentially eligible survivors (those aged ≥18 years who were ≥5 years after their cancer diagnosis; 7312 survivors). Risk factors for acute suicidal ideation were assessed among clinically evaluated survivors (3096 survivors) and the prevalence of acute ideation was compared with that of community controls (429 individuals). The prevalence of 12-month suicidality was assessed among survivors who could be compared with population data (1255 survivors). Standardized mortality ratios compared rates of suicide mortality among survivors with those of the general population. Risk ratios (RRs) and 95% confidence intervals (95% CIs) derived from generalized linear models identified risk factors associated with acute suicidal ideation. Standardized incidence ratios (SIRs) compared the prevalence of 12-month suicidality among survivors with that of a matched sample from the general population.ResultsSurvivors reported a similar 12-month prevalence of ideation compared with the general population (SIR, 0.68; 95% CI, 0.35-1.01) and a lower prevalence of suicidal behaviors (planning: SIR, 0.17 [95% CI, 0.07-0.27]; attempts: SIR, 0.07 [95% CI, 0.00-0.15]) and mortality (standardized mortality ratio, 0.60; 95% CI, 0.34-0.86). Among survivors, depression (RR, 12.30; 95% CI, 7.89-19.11), anxiety (RR, 2.19; 95% CI, 1.40-3.40), and financial stress (RR, 1.47; 95% CI, 1.00-2.15) were found to be associated with a higher prevalence of acute suicidal ideation.ConclusionsSurvivors of childhood cancer were found to be at a lower risk of suicidal behaviors and mortality, yet endorsed a prevalence of ideation similar to that of the general population. These results are in contrast to previous findings of suicidal ideation among survivors and support the need for further research to inform screening strategies and interventions.Lay summaryThe purpose of the current study was to compare the risk of suicidal ideation, behaviors, and mortality in adult survivors of childhood cancer with those of the general population. Risk factors associated with suicidal ideation among survivors of childhood cancer also were examined. Survivors of childhood cancer reported a similar risk of ideation compared with the general population, but a lower risk of suicidal behaviors and mortality. Psychological health and financial stressors were found to be risk factors associated with suicidal ideation. Although adult survivors of childhood cancer did not report a greater risk of suicidality compared with the general population, psychosocial care in survivorship remains essential.

Project description:BackgroundThere is limited understanding of associations between a combination of health behaviors (physical activity, sedentary/screen-time, diet) and cardiometabolic health risk factors, physical performance, and emotional health among young (<18) childhood cancer survivors (CCS). The aims of this research were to address this gap by 1) deriving health behavior adherence profiles among CCS, and 2) examining associations among demographic, diagnosis and/or treatment exposures, cardiometabolic, physical performance, and emotional functioning with health behavior profile membership.MethodsParticipants included 397 CCS (≥5 years post-diagnosis; 10-17 years old) enrolled in the St. Jude Lifetime Cohort Study who completed physical health evaluations and questionnaires assessing health behaviors and psychological functioning. Latent profile analysis was used to derive profiles of health behavior adherence. Logistic regression and t-tests were used to examine mean-level differences and associations between profile membership with demographic, diagnosis, treatment exposures, cardiometabolic health, psychological functioning, and physical performance.ResultsTwo profiles emerged: inactive-unhealthy-diet ("IU") and active-sedentary-unhealthy-diet ("ASU") to guidelines. More participants in IU demonstrated higher resting heart rate (mean [M], 76.54; SD = 12.00) and lower motor proficiency scores (M = 34.73; SD = 29.15) compared to ASU (resting heart rate, M = 71.95, SD = 10.74; motor proficiency, M = 50.40, SD = 31.02).ConclusionsCCS exhibited low adherence to multiple health behavior guidelines, with adherence patterns differentially associated with cardiometabolic health (i.e., resting heart rate) and physical performance. However, robust protection against all health variables was not observed. Findings suggest interventions designed to improve health outcomes should target multiple health behaviors simultaneously.Plain language summaryPediatric cancer survivors are at-risk for detrimental health outcomes associated with cancer and treatment. Engagement in healthy lifestyle behaviors serves to reduce health vulnerabilities among adult survivors but less is known about associations with lifestyle behaviors on young survivors. This study documents patterns of lifestyle behaviors among survivors of pediatric cancer, factors that increase susceptibility to nonadherence, and associations among lifestyle behaviors and health indicators.

Dataset Information

Germline Genetic and Treatment-Related Risk Factors for Diabetes Mellitus in Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study and St Jude Lifetime Cohorts.

Purpose

Methods

Results

Conclusion

Publications

Germline Genetic and Treatment-Related Risk Factors for Diabetes Mellitus in Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study and St Jude Lifetime Cohorts.

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