Targeted long-read sequencing of the Ewing sarcoma 6p25.1 susceptibility locus identifies germline-somatic interactions with EWSR1-FLI1 binding.

Ewing sarcoma (EwS) is a rare bone and soft tissue malignancy driven by chromosomal translocations encoding chimeric transcription factors, such as EWSR1-FLI1, that bind GGAA motifs forming novel enhancers that alter nearby expression. We propose that germline microsatellite variation at the 6p25.1 EwS susceptibility locus could impact downstream gene expression and EwS biology. We performed targeted long-read sequencing of EwS blood DNA to characterize variation and genomic features important for EWSR1-FLI1 binding. We identified 50 microsatellite alleles at 6p25.1 and observed that EwS-affected individuals had longer alleles (>135 bp) with more GGAA repeats. The 6p25.1 GGAA microsatellite showed chromatin features of an EWSR1-FLI1 enhancer and regulated expression of RREB1, a transcription factor associated with RAS/MAPK signaling. RREB1 knockdown reduced proliferation and clonogenic potential and reduced expression of cell cycle and DNA replication genes. Our integrative analysis at 6p25.1 details increased binding of longer GGAA microsatellite alleles with acquired EWSR-FLI1 to promote Ewing sarcomagenesis by RREB1-mediated proliferation.

Implementing personalized pathways for cancer follow-up care in the United States: Proceedings from an American Cancer Society-American Society of Clinical Oncology summit.

A new approach to cancer follow-up care is necessary to meet the needs of cancer survivors while dealing with increasing volume and provider shortages, knowledge gaps, and costs to both health care systems and patients. An approach that triages patients to personalized follow-up care pathways, depending on the type(s) and level(s) of resources needed for patients' long-term care, is in use in the United Kingdom and other countries and has been shown to meet patients' needs, more efficiently use the health care system, and reduce costs. Recognizing that testing and implementing a similar personalized approach to cancer follow-up care in the United States will require a multipronged strategy, the American Cancer Society and the American Society of Clinical Oncology convened a summit in January 2018 to identify the needed steps to move this work from concept to implementation. The summit identified 4 key strategies going forward: 1) developing a candidate model (or models) of care delivery; 2) building the case for implementation by conducting studies modeling the effects of personalized pathways of follow-up care on patient outcomes, workforce and health care resources, and utilization and costs; 3) creating consensus-based guidelines to guide the delivery of personalized care pathways; and 4) identifying and filling research gaps to develop and implement needed care changes. While these national strategies are pursued, oncology and primary care providers can lay the groundwork for implementation by assessing their patients' risk of recurrence and the chronic and late effects of cancer as well as other health care needs and resources available for care and by considering triaging patients accordingly, referring patients to appropriate specialized survivorship clinics as these are developed, helping to support patients who are capable of self-managing their health, setting expectations with patients from diagnosis onward for the need for follow-up in primary care and/or a survivorship clinic, and improving coordination of care between oncology and primary care.

Poverty and relapse risk in children with acute lymphoblastic leukemia: a Children's Oncology Group study AALL03N1 report.

The association between individual-level poverty and relapse in children receiving maintenance treatment for acute lymphoblastic leukemia (ALL) remains unclear. In a secondary analysis of COG-AALL03N1, we used data from US Census Bureau to categorize patients living below year-specific federal poverty thresholds, calculated using self-reported annual household income and size of household. Participants with federal poverty thresholds above 120% of their yearly household income were categorized as living in extreme poverty. Hazard of relapse was estimated using multivariable proportional subdistributional hazards regression for patients living in extreme poverty while receiving ALL maintenance therapy after adjusting for relevant predictors. Among 592 patients in this analysis, 12.3% of the patients were living in extreme poverty. After a median follow-up of 7.9 years, the cumulative incidence of relapse at 3 years from study enrollment among those living in extreme poverty was significantly higher (14.3%) than those not living in extreme poverty (7.6%). Multivariable analysis demonstrated that children living in extreme poverty had a 1.95-fold greater hazard of relapse than those not living in extreme poverty; this association was mitigated after the inclusion of race/ethnicity in the model, likely because of collinearity between race/ethnicity and poverty. A greater proportion of children living in extreme poverty were nonadherent to mercaptopurine (57.1% vs 40.9%); however, poor adherence did not completely explain the association between poverty and relapse risk. Future studies need to understand the mechanisms underlying the association between extreme poverty and relapse risk. This trial was registered at www.clinicaltrials.gov as #NCT00268528.

Effect of carvedilol versus placebo on cardiac function in anthracycline-exposed survivors of childhood cancer (PREVENT-HF): a randomised, controlled, phase 2b trial.

BACKGROUND: Carvedilol improves cardiac function in patients with heart failure but remains untested as cardioprotective therapy in long-term childhood cancer survivors (ie, those who have completed treatment for childhood cancer and are in remission) at risk for heart failure due to high-dose anthracycline exposure. We aimed to evaluate the activity and safety of low-dose carvedilol for heart failure risk reduction in childhood cancer survivors at highest risk for heart failure. METHODS: PREVENT-HF was a randomised, double-blind, phase 2b trial done at 30 hospitals in the USA and Canada. Patients were eligible if they had any cancer diagnosis that resulted in at least 250 mg/m2 cumulative exposure to anthracycline by age 21 years; completed their cancer treatment at least 2 years previously; an ejection fraction of at least 50% or fractional shortening of at least 25%, or both; and bodyweight of at least 40 kg. Patients were randomly assigned (1:1) with automated computer-generated permuted block randomisation (block size of 4), stratified by age at diagnosis, time since diagnosis, and history of chest-directed radiotherapy, to carvedilol (up-titrated from 3·125 g per day to 12·5 mg per day) or placebo orally for 2 years. Participants, staff, and investigators were masked to study group allocation. The primary endpoint was to establish the effect of carvedilol on standardised left ventricular wall thickness-dimension ratio Z score (LVWT/Dz). Treatment effects were analysed with a linear mixed-effects model for normally distributed data with a linear time effect and testing the significance of treatment*time interaction in the modified intention-to-treat (mITT) cohort (ie, all randomly assigned participants who had a baseline and at least one subsequent echocardiogram measurement). Safety was assessed in the ITT population (ie, all randomly assigned participants). This trial was registered with ClinicalTrials.gov, NCT027175073, and enrolment and follow-up are complete. FINDINGS: Between July 3, 2012, and June 22, 2020, 196 participants were enrolled, of whom 182 (93%) were eligible and randomly assigned to either carvedilol (n=89) or placebo (n=93; ITT population). Median age was 24·7 years (IQR 19·6-36·6), 91 (50%) participants were female, 91 (50%) were male, and 119 (65%) were non-Hispanic White. As of data cutoff (June 10, 2022), median follow-up was 725 days (IQR 378-730). 151 (n=75 in the carvedilol group and n=76 in the placebo group) of 182 participants were included in the mITT population, among whom LVWT/Dz was similar between the two groups (-0·14 [95% CI -0·43 to 0·16] in the carvedilol group vs -0·45 [-0·77 to -0·13] in the placebo group; difference 0·31 [95% CI -0·10 to 0·73]; p=0·14). Two (2%) of 89 patients in the carvedilol group two adverse events of grade 2 or higher (n=1 shortness of breath and n=1 arthralgia) and none in the placebo group. There were no adverse events of grade 3 or higher and no deaths. INTERPRETATION: Low-dose carvedilol appears to be safe in long-term childhood cancer survivors at risk for heart failure, but did not result in significant improvement of LVWT/Dz compared with placebo. These results do not support the use of carvedilol for secondary heart failure prevention in anthracycline-exposed childhood cancer survivors. FUNDING: National Cancer Institute, Leukemia & Lymphoma Society, St Baldrick's Foundation, Altschul Foundation, Rally Foundation, American Lebanese Syrian Associated Charities.

Understanding racial differences in financial hardship among older adults surviving cancer.

BACKGROUND: Despite Medicare coverage, financial hardship is a prevalent issue among those diagnosed with cancer at age 65 years and older, particularly among those belonging to a racial or ethnic minority group. Sociodemographic, clinical, and area-level factors may mediate this relationship; however, no studies have assessed the extent to which these factors contribute to the racial/ethnic disparities in financial hardship. METHODS: Surveys assessing financial hardship were completed by 721 White (84%) or Black (16%) patients (aged 65 years and older) who were diagnosed with breast (34%), prostate (27%), lung (17%), or colorectal (14%) cancer or lymphoma (9%) at the University of Alabama at Birmingham between 2000 and 2019. Financial hardship included material, psychological, and behavioral domains. Nonlinear Blinder-Oaxaca effect decomposition methods were used to evaluate the extent to which individual and area-level factors contribute to racial disparities in financial hardship. RESULTS: Black patients reported lower income (65% vs. 34% earning <$50,000) and greater scores on the Area Deprivation Index (median, 93.0 vs. 55.0). Black patients reported significantly higher rates of overall (39% vs. 18%), material (29% vs. 11%), and psychological (27% vs. 11%) hardship compared with White patients. Overall, the observed characteristics explained 51% of racial differences in financial hardship among cancer survivors, primarily because of differences in income (23%) and area deprivation (11%). CONCLUSIONS: The current results identify primary contributors to racial disparities in financial hardship among older cancer survivors, which can be used to develop targeted interventions and allocate resources to those at greatest risk for financial hardship.

Health care utilization by long-term survivors of blood or marrow transplantation-A Bone Marrow Transplant Survivor Study report.

BACKGROUND: Blood or marrow transplantation (BMT) survivors carry a high burden of morbidity, yet health care utilization by this vulnerable population remains understudied. Patterns and predictors of various domains of health care utilization in long-term BMT survivors were evaluated. METHODS: Study participants were drawn from the Bone Marrow Transplant Survivor Study (BMTSS). Patients transplanted between 1974 and 2014 at one of three transplant centers who had survived ≥2 years after BMT and were aged ≥18 years at the time of the study were included. A BMTSS survey served as the source of data for health care utilization, sociodemographics, and chronic health conditions. Domains of health care utilization in the 2 years preceding study participation included routine checkups, BMT-related visits, transplant/cancer center visits, emergency room (ER) visits, hospitalizations, and high health care utilization (≥7 physician visits during the 2 years before the study). Clinical characteristics and therapeutic exposures were abstracted from medical records. RESULTS: In this cohort of 3342 BMT survivors (52% allogeneic), the prevalence of health care utilization declined over time since BMT for both allogeneic and autologous BMT survivors, such that among those who had survived ≥20 years, only 49%-53% had undergone routine checkups, 37%-38% reported BMT-related visits, and 28%-29% reported transplant/cancer center visits. The presence of severe/life-threatening conditions and chronic graft-vs-host disease increased the odds of health care utilization across all domains. Lower education, lack of insurance, and Hispanic ethnicity were associated with a lower prevalence of routine checkups and/or transplant/cancer center visits. Lower income increased the odds of ER visits but reduced the odds of hospitalizations or high health care utilization. CONCLUSIONS: This study identified vulnerable populations of long-term BMT survivors who would benefit from specialized risk-based anticipatory care to reduce high health care utilization, ER visits, and hospitalizations.

Body composition and late-occurring chronic health conditions after autologous stem cell transplantation for lymphoma.

BACKGROUND: Autologous peripheral blood stem cell transplantation (aPBSCT) is the standard of care for adults with relapsed lymphoma, yet recipients remain at risk of developing chronic health conditions (CHCs). It was hypothesized that body composition measurements of skeletal muscle and fat are associated with late-onset CHCs and nonrelapse mortality after aPBSCT. METHODS: Leveraging the Blood or Marrow Transplant Survivor Study, we examined association between pre-aPBSCT body composition and new-onset grade 3-5 CHCs among 187 adults with lymphoma treated with aPBSCT (2011-2014) surviving ≥2 years after aPBSCT. Using computed tomography scans at the L3 level, skeletal muscle mass (skeletal muscle area and skeletal muscle density [SMD]) and body fat (subcutaneous adipose tissue and visceral adipose tissue) were measured and quantified as sex-specific z-scores. Competing risk models were built to study the impact of body composition on incident grade 3 through 5 CHCs and nonrelapse mortality (NRM) adjusting for confounders. RESULTS: The study cohort had a median age at aPBSCT of 57 years with 63% males, 77% non-Hispanic Whites and 81% with non-Hodgkin lymphoma. The 5-year cumulative incidence of grade 3 through 5 CHCs was 47% (95% Confidence Interval, CI, 38%-56%). Each SD increase in SMD was associated with 30% reduced risk of grade 3 through 5 CHCs (95% CI, 0.50-0.96). The 10-year cumulative incidence of NRM was 16% (95% CI, 10-22). No body composition measure was associated with NRM. CONCLUSIONS: The association between SMD and grade 3 through 5 CHCs following aPBSCT could inform development of prognostic models to identify adults with lymphoma at greatest risk of morbidity following aPBSCT.

Roadmap for the next generation of Children's Oncology Group rhabdomyosarcoma trials.

Clinical trials conducted by the Intergroup Rhabdomyosarcoma (RMS) Study Group and the Children's Oncology Group have been pivotal to establishing current standards for diagnosis and therapy for RMS. Recent advancements in understanding the biology and clinical behavior of RMS have led to more nuanced approaches to diagnosis, risk stratification, and treatment. The complexities introduced by these advancements, coupled with the rarity of RMS, pose challenges to conducting large-scale phase 3 clinical trials to evaluate new treatment strategies for RMS. Given these challenges, systematic planning of future clinical trials in RMS is paramount to address pertinent questions regarding the therapeutic efficacy of drugs, biomarkers of response, treatment-related toxicity, and patient quality of life. Herein, the authors outline the proposed strategic approach of the Children's Oncology Group Soft Tissue Sarcoma Committee to the next generation of RMS clinical trials, focusing on five themes: improved novel agent identification and preclinical to clinical translation, more efficient trial development and implementation, expanded opportunities for knowledge generation during trials, therapeutic toxicity reduction and quality of life, and patient engagement.

Charting the Course: Insights into Neuroendocrine Tumor Dynamics in the United States.

OBJECTIVE: To explore changing trends and characteristics in neuroendocrine tumors (NETs) epidemiology, focusing on demographics, clinical aspects, and survival, including the impact of social determinants of health (SDOH) on outcomes. BACKGROUND: The escalating incidence and prevalence of NETs underscore the pressing need for updated epidemiologic data to reveal the evolving landscape of this condition. Access to current information is imperative for informing clinical strategies and public health initiatives targeting NETs. METHODS: A retrospective, population-based study analyzed NET patient data from 1975 to 2020, using the Surveillance, Epidemiology, and End Results (SEER 8, 12, 18) program. We calculated annual age-adjusted incidence, prevalence, and 5-year overall survival (OS) rates. Survival trends from 2000 to 2019 were examined, employing the Fine-Gray model to evaluate cancer-specific mortality. RESULTS: NETs' age-adjusted incidence rate quadrupled from 1.5 per 100,000 in 1975 to 6.0 per 100,000 in 2020. A decline in incidence occurred from 6.8 per 100,000 in 2019 to 6.0 per 100,000 in 2020. All-cause survival multivariable analysis demonstrated high grade (HR: 2.95, 95% CI: 2.63-3.09, P<0.001), single patients (HR: 1.49, 95% CI: 1.45-1.54, P<0.001), and Black patients (HR: 1.17, 95% CI:1.13-1.22, P<0.001) all had worse survival than their controls. CONCLUSION: In conclusion, our study shows a steady increase in NETs incidence until 2019, with a decline in 2020. Understanding the reasons behind this trend is vital for improved management and public health planning. Further research should focus on the factors driving these changes to enhance our understanding of NET epidemiology.

A randomized controlled trial of shared decision-making treatment planning process to enhance shared decision-making in patients with MBC.

PURPOSE: Opportunities exist for patients with metastatic breast cancer (MBC) to engage in shared decision-making (SDM). Presenting patient-reported data, including patient treatment preferences, to oncologists before or during a treatment plan decision may improve patient engagement in treatment decisions. METHODS: This randomized controlled trial evaluated the standard-of-care treatment planning process vs. a novel treatment planning process focused on SDM, which included oncologist review of patient-reported treatment preferences, prior to or during treatment decisions among women with MBC. The primary outcome was patient perception of shared decision-making. Secondary outcomes included patient activation, treatment satisfaction, physician perception of treatment decision-making, and use of treatment plans. RESULTS: Among the 109 evaluable patients from December 2018 to June 2022, 28% were Black and 12% lived in a highly disadvantaged neighborhood. Although not reaching statistical significance, patients in the intervention arm perceived SDM more often than patients in the control arm (63% vs. 59%; Cramer's V = 0.05; OR 1.19; 95% CI 0.55-2.57). Among patients in the intervention arm, 31% were at the highest level of patient activation compared to 19% of those in the control arm (V = 0.18). In 82% of decisions, the oncologist agreed that the patient-reported data helped them engage in SDM. In 45% of decision, they reported changing management due to patient-reported data. CONCLUSIONS: Oncologist engagement in the treatment planning process, with oncologist review of patient-reported data, is a promising approach to improve patient participation in treatment decisions which should be tested in larger studies. TRIAL REGISTRATION: NCT03806738.

Defining the Denominator for Measuring Quality of End-of-Life Care in Children with Cancer: Results of a Nominal Group Technique.

OBJECTIVE: To determine which groups of children with cancer for whom to apply the newly developed quality measures (QMs) for end-of-life (EOL) care. STUDY DESIGN: In a series of nominal groups, panelists answered the question: "Which children, diagnoses, conditions, or prognoses should be included when examining the quality of EOL care for children with cancer?" In each group, individual panelists proposed answers to the question. After collating individual responses, each panelist ranked their 5 top answers and points were assigned (5 pts for the best answer, 4 pts the second best, etc.). A team of pediatric oncology and palliative care clinician-scientists developed and applied a coding structure for responses and associated themes and subthemes for responses. RESULTS: We conducted 5 nominal groups with a total of 44 participants. Most participants identified as female (88%) and non-Hispanic White (86%). Seventy-nine percent were clinicians, mainly in pediatric palliative care, pediatric oncology, or hospice; 40% were researchers and 12% were bereaved parents. Responses fell into 5 themes: (1) poor prognosis cancer; (2) specific treatment scenarios; (3) certain populations; (4) certain symptoms; and (5) specific utilization scenarios. Poor prognosis cancer and specific treatment scenarios received the most points (320 pts [49%] and 147 pts [23%], respectively). CONCLUSIONS: Participants developed a framework to identify which children should be included in EOL QMs for children with cancer. The deliberate identification of the denominator for pediatric QMs serves as a potent tool for enhancing quality, conducting research, and developing clinical programs.

Understanding Barriers to Guideline-Concordant Treatment in Foregut Cancer: From Data to Solutions.

BACKGROUND: A large proportion of patients with foregut cancers do not receive guideline-concordant treatment (GCT). This study sought to understand underlying barriers to GCT through a root cause analysis approach. METHODS: A single-institution retrospective review of 498 patients with foregut (gastric, pancreatic, and hepatobiliary) adenocarcinoma from 2018 to 2022 was performed. Guideline-concordant treatment was defined based on National Comprehensive Cancer Network guidelines. The Ishikawa cause and effect model was used to establish main contributing factors to non-GCT. RESULTS: Overall, 34% did not receive GCT. Root causes of non-GCT included Patient, Physician, Institutional Environment and Broader System-related factors. In decreasing order of frequency, the following contributed to non-GCT: receipt of incomplete therapy (N = 28, 16.5%), deconditioning on chemotherapy (N = 26, 15.3%), delays in care because of patient resource constraints followed by loss to follow-up (N = 19, 11.2%), physician factors (N = 19, 11.2%), no documentation of treatment plan after referral to oncologic expertise (N = 19, 11.2%), loss to follow-up before oncology referral (N = 17, 10%), nonreferral to medical oncologic expertise (N = 16, 9.4%), nonreferral to surgical oncology in patients with resectable disease (N = 15, 8.8%), and complications preventing completion of treatment (N = 11, 6.5%). Non-GCT often was a function of multiple intersecting patient, physician, and institutional factors. CONCLUSIONS: A substantial percentage of patients with foregut cancer do not receive GCT. Solutions that may improve receipt of GCT include development of automated systems to improve patient follow-up; institutional prioritization of resources to enhance staffing; financial counseling and assistance programs; and development and integration of structured prehabilitation programs into cancer treatment pathways.

COVID-19 infection in children, adolescents, and young adults with Down syndrome and hematologic malignancies.

INTRODUCTION: Children, adolescents, and young adults (CAYAs) with Down syndrome (DS) and hematologic malignancies are particularly vulnerable to infections and related complications. There are limited data regarding COVID-19 infections in this group. We aimed to understand the clinical course of COVID-19 in this population. METHODS: This observational study leverages the de-identified clinical and sociodemographic data captured by the Pediatric Oncology COVID-19 Case Report Registry (POCC) regarding CAYAs with cancer and COVID-19. We evaluated CAYAs (≤21 years at COVID-19 infection) with hematologic malignancies and COVID-19 reported from April 1, 2020 to May 2, 2023, comparing those with and without DS. Using multivariable logistic regression, we examined rates of hospitalization, intensive care unit (ICU) admission, respiratory support, and changes in cancer-directed therapy. RESULTS: Among 1408 CAYAs with hematologic malignancies, 55 had DS (CAYA-DS). CAYA-DS had higher rates of hospitalization, ICU admission, and respiratory support (p < .001) than CAYAs without DS. Similarly, multivariable analyses found higher odds of hospitalization (odds ratio [OR] = 2.8, 95% confidence interval [CI]: 1.5-5.1), ICU admission (OR = 4.2, 95% CI: 1.9-9.1), and need for respiratory support (OR = 4.2, 95% CI: 2.0-8.8) among CAYA-DS. Modifications to cancer-directed therapy were more common among CAYA-DS when related to neutropenia (p = .001), but not when unrelated to neutropenia (p = .88); CAYA-DS did not have higher odds of changes to cancer-directed therapy (OR = 1.20, 95% CI: 0.7-2.1). CONCLUSIONS: We identify CAYA-DS with hematologic malignancies as a vulnerable subpopulation at greater risk for severe COVID-19 infection. This can inform conversations with patients and families regarding therapeutic and preventive measures, as well as the risks and benefits of modifying chemotherapy in the setting of COVID-19.

Development and validation of age-specific risk prediction models for primary ovarian insufficiency in long-term survivors of childhood cancer: a report from the Childhood Cancer Survivor Study and St Jude Lifetime Cohort.

BACKGROUND: Female survivors of childhood cancer are at risk for primary ovarian insufficiency (POI), defined as the cessation of gonadal function before the age of 40 years. We aimed to develop and validate models to predict age-specific POI risk among long-term survivors of childhood cancer. METHODS: To develop models to predict age-specific POI risk for the ages of 21-40 years, we used data from the Childhood Cancer Survivor Study (CCSS). Female survivors aged 18 years or older at their latest follow-up, with self-reported menstrual history information and free of subsequent malignant neoplasms within 5 years of diagnosis, were included. We evaluated models that used algorithms based on statistical or machine learning to consider all predictors, including cancer treatments. Cross-validated prediction performance metrics (eg, area under the receiver operating characteristic curve [AUROC]) were compared to select the best-performing models. For external validation of the models, we used data from 5-year survivors in the St Jude Lifetime Cohort (SJLIFE) with ovarian status clinically ascertained using hormone measurements (menopause defined by follicle stimulating hormone >30 mIU/mL and oestradiol <17 pg/mL) and medical chart or questionnaire review. We also evaluated an SJLIFE-based polygenic risk score for POI among 1985 CCSS survivors with genotype data available. FINDINGS: 7891 female CCSS survivors (922 with POI) were included in the development of the POI risk prediction model, and 1349 female SJLIFE survivors (101 with POI) were included in the validation study. Median follow-up from cancer diagnosis was 23·7 years (IQR 18·3-30·0) in CCSS and 15·1 years (10·4-22·9) in SJLIFE. Between the ages of 21 and 40 years, POI prevalence increased from 7·9% (95% CI 7·3-8·5) to 18·6% (17·3-20·0) in CCSS and 7·3% (5·8-8·9) to 14·9% (11·6-19·1) in SJLIFE. Age-specific logistic regression models considering ovarian radiation dosimetry or prescribed pelvic and abdominal radiation dose, along with individual chemotherapy predictors, performed well in CCSS. In the SJLIFE validation, the prescribed radiation dose model performed well (AUROC 0·88-0·95), as did a simpler model that considered any exposures to pelvic or abdominal radiotherapy or alkylators (0·82-0·90). Addition of the polygenic risk predictor significantly improved the average positive predictive value (from 0·76 [95% CI 0·63-0·89] to 0·87 [0·80-0·94]; p=0·029) among CCSS survivors treated with ovarian radiation and chemotherapy. INTERPRETATION: POI risk prediction models using treatment information showed robust prediction performance in adult survivors of childhood cancer. FUNDING: Canadian Institutes of Health Research, US National Cancer Institute.

Cancer germline predisposing variants and late mortality from subsequent malignant neoplasms among long-term childhood cancer survivors: a report from the St Jude Lifetime Cohort and the Childhood Cancer Survivor Study.

BACKGROUND: Carriers 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). METHODS: In 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. FINDINGS: 12 469 (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). INTERPRETATION: Identifying 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. FUNDING: American Lebanese Syrian Associated Charities and US National Institutes of Health.

Reasons for refusal of the human papillomavirus vaccine among young cancer survivors.

BACKGROUND: Cancer survivors are at risk for developing subsequent human papillomavirus (HPV)-related malignancies. HPV vaccination rates among survivors remain low, and the reasons for refusal of the vaccine are unclear in this population. METHODS: The authors conducted a secondary analysis of data from an open-label clinical trial evaluating the immunogenicity and safety of the HPV vaccine among vaccine-naive cancer survivors who were 9-26 years old and 1-5 years from the completion of their cancer treatment. Survivors/parents who declined trial participation were asked their reasons for declining. Refusal reasons were categorized, and multivariable logistic regression models were developed to identify associations between survivor characteristics and primary refusal reasons. RESULTS: Among the 301 survivors who refused participation in the clinical trial, 215 (71.4%) refused for reasons related to the HPV vaccine. Reasons for vaccine-related refusal included safety concerns, vaccine hesitancy/disinterest, external influences, vaccine-related information deficits, and health beliefs/family decisional processes. Compared with males, females were more likely to refuse for reasons related to health beliefs/family decisional processes (odds ratio [OR], 2.08; 95% confidence interval [CI], 1.12-3.93; p = .022) and were less likely to do so because of external influences (OR, 0.43; 95% CI, 0.19-0.92; p = .035). Survivors approached about participation during the latter years of the trial were more likely to refuse because of safety concerns (OR, 3.33; 95% CI, 1.55-7.69; p = .003). CONCLUSIONS: Cancer survivors refused participation in an open-label trial evaluating the immunogenicity and safety of the HPV vaccine primarily because of vaccine-related concerns that were unrelated to the research study. Many of these concerns are potentially addressable by health care providers using evidence-based messages tailored to the cancer survivor population.

Assessment of longitudinal changes in body composition of children with lymphoma and rhabdomyosarcoma.

BACKGROUND: Studies examining changes in skeletal muscle and adipose tissue during treatment for cancer in children, adolescents, and young adults and their effect on the risk of chemotherapy toxicity (chemotoxicity) are limited. METHODS: Among 78 patients with lymphoma (79.5%) and rhabdomyosarcoma (20.5%), changes were measured in skeletal muscle (skeletal muscle index [SMI]; skeletal muscle density [SMD]) and adipose tissue (height-adjusted total adipose tissue [hTAT]) between baseline and first subsequent computed tomography scans at the third lumbar vertebral level by using commercially available software. Body mass index (BMI; operationalized as a percentile [BMI%ile]) and body surface area (BSA) were examined at each time point. The association of changes in body composition with chemotoxicities was examined by using linear regression. RESULTS: The median age at cancer diagnosis of this cohort (62.8% male; 55.1% non-Hispanic White) was 12.7 years (2.5-21.1 years). The median time between scans was 48 days (range, 8-207 days). By adjusting for demographics and disease characteristics, this study found that patients undergo a significant decline in SMD (ß ± standard error [SE] = -4.1 ± 1.4; p < .01). No significant changes in SMI (ß ± SE = -0.5 ± 1.0; p = .7), hTAT (ß ± SE = 5.5 ± 3.9; p = .2), BMI% (ß ± SE = 4.1 ± 4.8; p = .3), or BSA (ß ± SE = -0.02 ± 0.01; p = .3) were observed. Decline in SMD (per Hounsfield unit) was associated with a greater proportion of chemotherapy cycles with grade ≥3 nonhematologic toxicity (ß ± SE = 1.09 ± 0.51; p = .04). CONCLUSIONS: This study shows that children, adolescents, and young adults with lymphoma and rhabdomyosarcoma undergo a decline in SMD early during treatment, which is associated with a risk of chemotoxicities. Future studies should focus on interventions designed at preventing the loss of muscle during treatment. PLAIN LANGUAGE SUMMARY: We show that among children, adolescents, and young adults with lymphoma and rhabdomyosarcoma receiving chemotherapy, skeletal muscle density declines early during treatment. Additionally, a decline in skeletal muscle density is associated with a greater risk of nonhematologic chemotoxicities.

Body mass index during maintenance therapy and relapse risk in children with acute lymphoblastic leukemia: A Children's Oncology Group report.

BACKGROUND: Obesity at diagnosis of childhood acute lymphoblastic leukemia (ALL) is associated with greater risk of relapse; whether this association extends to obesity during maintenance is unstudied. METHODS: This study used data from AALL03N1 to calculate median body mass index (BMI) for 676 children over 6 consecutive months during maintenance therapy; BMI percentile (BMI%ile) were operationalized as normal/underweight (<85%ile), overweight/obese (85%-98%ile), and extreme obesity (≥99%ile). Hazard of relapse was estimated using multivariable proportional subdistributional hazards regression after adjusting for all relevant demographic and clinical predictors. RESULTS: Median age at study enrollment was 6 years and median length of follow-up was 7.9 years. Overall, 43.3% of the cohort was underweight/normal weight, 44.8% was overweight/obese, and 11.8% had extreme obesity. Cumulative incidence of relapse at 4 years from study enrollment was higher among those with extreme obesity (13.6% ± 4.5%) compared to those with underweight/normal weight (9.0% ± 2.1%). Multivariable analysis revealed that children with extreme obesity had a 2.4-fold (95% confidence interval [CI], 1.1-5.0; p = .01) greater hazard of relapse compared to those who were underweight/normal weight. Overweight/obese patients were at comparable risk to those who were underweight/normal weight (hazard ratio, 0.8; 95% CI, 0.4-1.6). Erythrocyte thioguanine nucleotide (TGN) levels were significantly lower among children with extreme obesity compared to those with underweight/normal weight (141.6 vs. 168.8 pmol/8 × 108 erythrocytes; p = .0002), however, the difference in TGN levels did not explain the greater hazard of relapse among those with extreme obesity. CONCLUSIONS: Extreme obesity during maintenance therapy is associated with greater hazard of relapse in children with ALL. Underlying mechanisms of this association needs further investigation. LAY SUMMARY: Findings from this study demonstrate that extreme obesity during maintenance therapy is associated with a greater hazard of relapse among children with acute lymphoblastic leukemia. We show that children with obesity have lower levels of erythrocyte thioguanine nucleotides even after adjusting for adherence to oral chemotherapy. However, these lower levels do not explain the greater hazard of relapse, paving the way for future studies to explore this association.

Severe, life-threatening, and fatal chronic health conditions after allogeneic blood or marrow transplantation in childhood.

BACKGROUND: A comprehensive assessment of morbidity after allogeneic bone marrow transplantation (BMT) performed in childhood remains understudied. METHODS: Seven hundred eighty-nine allogeneic BMT recipients who had survived ≥2 years after BMT performed between 1974 and 2014 at age <22 years and 690 siblings completed a 255-item survey self-reporting sociodemographics and chronic health conditions. A severity score (grade 3 [severe], 4 [life-threatening], or 5 [fatal]) was assigned to the conditions using Common Terminology Criteria for Adverse Events, version 5.0. For the BMT cohort, the cumulative incidence of chronic health conditions was calculated as a function of time from BMT. Proportional subdistribution hazards models were used to determine predictors of grade 3-5 conditions. Logistic regression was used to estimate the risk of grade 3-4 conditions in BMT recipients who were alive at the time of this study compared with siblings. RESULTS: The median age at transplantation was 11.3 years (range, 0.4-22.0 years), and the median length of follow-up was 11.7 years (range, 2.0-45.3 years). The most prevalent primary diagnoses were acute lymphoblastic leukemia (30.7%), and acute myeloid leukemia/myelodysplastic syndrome (26.9%). At age 35 years, the cumulative incidence of a grade 3-4 condition was 53.8% (95% CI, 46.7%-60.3%). The adjusted odds ratio of a grade 3-4 condition was 15.1 in survivors (95% CI, 9.5-24.0) compared with siblings. The risk of a grade 3-5 condition increased with age at BMT (hazard ratio [HR], 1.03; 95% CI, 1.01-1.05) and was higher among females (HR, 1.27; 95% CI, 1.02-1.59), patients who received total body irradiation (HR, 1.71; 95% CI, 1.27-2.31), and those reporting chronic graft-versus-host disease (HR, 1.38; 95% CI, 1.09-1.74). CONCLUSIONS: Two-year survivors of allogeneic BMT in childhood have an increased risk of grade 3-4 chronic health conditions compared with siblings, suggesting the need for long-term follow-up.

Potentially inappropriate medications in geriatric blood or marrow transplantation (BMT) survivors: A BMT Survivor Study report.

BACKGROUND: Blood or marrow transplantation (BMT) is increasingly offered to older individuals with hematologic malignancies. The high prevalence of chronic health conditions in such individuals necessitates use of multiple medications. Beers Criteria represent a list of potentially inappropriate medications (PIMs) shown to increase the risk of health problems in the elderly. We sought to determine the prevalence and predictors of PIM use in older BMT survivors and identify associations with health problems. METHODS: Study participants were drawn from the BMT Survivor Study, a cohort study of patients transplanted at three US transplant centers between 1974 and 2014 and surviving ≥2 years. For this report, the survivors were aged ≥65 years. Siblings served as a comparison group. Participants self-reported sociodemographics, chronic health conditions, and medication use. Logistic regression analyses identified predictors of PIM use and associations with health problems. RESULTS: Overall, PIM use was comparable between BMT survivors (49.4%) and siblings (49.3%) (odds ratio [OR] = 0.9; 95% CI, 0.7-1.2); however, BMT survivors were more likely to use >1 PIM (17.4% vs. 12.4%; OR = 1.5; 95% CI, 1.01-2.4) and central nervous system-related PIMs (8.3% vs. 4.3%; OR = 2.18; 95% CI, 1.17-4.09). Predictors of PIM use included presence of severe/life-threatening chronic health conditions (OR = 1.5; 95% CI, 1.1-2.0), and chronic graft versus host disease (OR = 1.7; 95% CI, 1.1-2.7). Survivors taking >1 PIM reported more issues with vertigo (OR = 2.3; 95% CI, 1.1-4.7), balance (OR = 2.6; 95% CI, 1.7-4.1), faintness/dizziness (OR = 2.8; 95% CI, 1.8-4.6), and personal care (OR = 4.5; 95% CI, 1.4-14.8). CONCLUSIONS: This study shows the health problems associated with PIM use and identifies vulnerable populations at higher risk for PIM use, providing evidence for caution in using PIMs in high-risk populations.