Sex differences in osteosarcoma survival across the age spectrum: A National Cancer Database analysis (2004-2016).

BACKGROUND: Osteosarcoma displays a bimodal peak in incidence in adolescence and later adulthood. Males are more frequently diagnosed with osteosarcoma in both periods. Males have worse survival than females, which is generally poor at 30-70% 5-years post diagnosis, depending on age, but treatment received is often unaccounted for in survival analyses. METHODS: Therefore, we estimated sex differences in survival for children and adults stratifying by treatment received and other disease characteristics using the National Cancer Database (2004-2016, n=9017). We estimated sex differences in long-term survival using Kaplan Meier survival curves and Log-Rank p-values. We also estimated hazard ratios (HR) and 95% confidence intervals (CIs) as the measure of association between sex and death using Cox regression. RESULTS: In all age groups, cases were predominantly male (52-58%). In Kaplan-Meier analyses, males had worse overall survival than females for 0-19, 20-39, and ≥60-year-olds (Log-Rank p<0.05). Females had higher 5- and 10-year survival percentages in all age groups. In adjusted Cox models, males had a higher risk of death among 0-19-year-olds (HRoverall: 1.24, 95% CI: 1.06-1.44; HRnon-metastatic disease: 1.35, 95% CI: 1.12, 1.63, HRlower limb tumors: 1.31, 95% CI: 1.09-1.59). Among 20-39-year-olds, males had an increased risk of death when receiving surgery only (HR: 4.67, 95% CI: 1.44, 15.09). Among those ≥60-year-olds, males had a suggestive increased risk of death overall (HR: 1.17, 95% CI: 0.99-1.39) and a higher risk of death based on some tumor locations, (HRupper limb: 2.52, 95% CI: 1.24, 5.11; HRmidline: 1.36, 95% CI: 1.02, 1.82). CONCLUSIONS: Our findings suggest that the worse survival among young males compared to females with osteosarcoma persisted after accounting for many major disease characteristics, including treatment received. Collectively, our work points toward other unexplored mechanisms beyond treatment, potentially biologic or otherwise, which may be driving the observed sex differences in long-term survival.

PM2.5, vegetation density, and childhood cancer: a case-control registry-based study from Texas 1995-2011.

BACKGROUND: Air pollution is positively associated with some childhood cancers while greenness is inversely associated with some adult cancers. The interplay between air pollution and greenness in childhood cancer etiology is unclear. We estimated the association between early life air pollution and greenness exposure and childhood cancer in Texas (1995-2011). METHODS: We included 6,101 cancer cases and 109,762 controls (aged 0-16 years). We linked residential birth address to census tract annual average particulate matter ≤2.5 µg/m³ (PM2.5) and Normalized Difference Vegetation Index (NDVI). We estimated odds ratios (OR) and 95% confidence intervals (95% CI) between PM2.5/NDVI interquartile range increases and cancer. We assessed statistical interaction between PM2.5 and NDVI (likelihood ratio tests). RESULTS: Increasing residential early life PM2.5 exposure was associated with all childhood cancers (OR 1.10, 95% CI: 1.06-1.15), lymphoid leukemias (OR: 1.15, 95% CI: 1.07-1.23), Hodgkin lymphomas (OR: 1.27, 95% CI: 1.02-1.58), non-Hodgkin lymphomas (OR: 1.24, 95% CI: 1.02-1.51), ependymoma (OR: 1.27, 95% CI: 1.01-1.60) and others. Increasing NDVI exposure was inversely associated with ependymoma (0-4-year-old OR: 0.75, 95% CI: 0.58-0.97) and medulloblastoma (OR: 0.75, 95% CI: 0.62-0.91), but positively associated with malignant melanoma (OR: 1.75, 95% CI: 1.23-2.47) and Langerhans cell histiocytosis (OR: 1.56, 95% CI: 1.07-2.28). There was evidence of statistical interaction between NDVI and PM2.5 (p < .04) for all cancers. DISCUSSION: Increasing early life exposure to PM2.5 increased the risk of childhood cancers. NDVI decreased risk of two cancers yet increased risk of others. These findings highlight the complexity between PM2.5 and NDVI in cancer etiology.

Factors associated with infant sex and preterm birth status for selected birth defects from the National Birth Defects Prevention Study, 1997-2011.

BACKGROUND: Birth defects and preterm birth co-occur, with some overlapping risk factors. Many birth defects and preterm births tend to have a male preponderance. We explored potential risk factors impacting sex and preterm (<37 weeks of gestation) birth differences among infants with selected birth defects delivered from 1997 to 2011 using data from the National Birth Defects Prevention Study (NBDPS). METHODS: The NBDPS was a large multisite, population-based case-control study. Using random forests, we identified important predictors of male preterm, female preterm, and male term, each compared with female term births for each birth defect. Using logistic regression, we estimated odds ratios for associations between important predictors and sex-preterm birth status by birth defect. RESULTS: We examined 11,379 infants with nine specific birth defects. The top 10 most important predictors of sex-preterm birth status from the random forests varied greatly across the birth defects and sex-preterm comparisons within a given defect group, with several being novel factors. However, one consistency was that short interpregnancy interval was associated with sex-preterm birth status for many of the studied birth defects. Although obesity has been identified as a risk factor for preterm birth and birth defects in other research, it was not associated with sex-preterm birth status for any of the examined defects. CONCLUSIONS: We confirmed expected associations for sex-preterm birth status differences and found new potential risk factors for further exploration among the studied birth defects.

Women's desires for mental health support following a pregnancy loss, termination of pregnancy for medical reasons, or abortion: A report from the STRONG Women Study.

OBJECTIVE: We report on women's mental health care desires following a miscarriage, medical termination, or abortion. METHOD: 689 women completed a questionnaire on reproductive history, health care following miscarriage/medical termination/abortion, and current mental health. Descriptive statistics and logistic regression analyses examined: miscarriage/termination/abortion incidence, desires for mental health support following miscarriages/terminations/abortions, and current mental health. RESULTS: Of 365 women with a pregnancy history, 37% reported ≥1 miscarriage, 9% ≥1 medical termination, 16% ≥1 abortion, and 3% endorsed all three. Current mental health did not differ between women with a history of miscarriage/termination/abortion and those with only live births (p = 0.82). Following miscarriage, 68% of women discussed options for the medical management of pregnancy loss with their provider, 32% discussed grief/loss, and 25% received mental health care recommendations. Engagement in mental health services was reported by 16% of women with a history of miscarriage, 38% after medical termination, and 19% following an abortion. Of women who became pregnant after their most recent miscarriage/termination/abortion and did not receive mental health care, 55% wished they had received services during the subsequent pregnancy. CONCLUSIONS: Women desire mental health care after miscarriages, medical terminations, or abortions, warranting improved access to mental health care for these individuals.

Influence of alcohol consumption and alcohol metabolism variants on breast cancer risk among Black women: results from the AMBER consortium.

BACKGROUND: Moderate to heavy alcohol consumption is associated with an increased risk of breast cancer. The etiologic role of genetic variation in genes involved in ethanol metabolism has not been established, with little information available among women of African ancestry. METHODS: Our analysis from the African American Breast Cancer Epidemiology and Risk (AMBER) Consortium included 2889 U.S. Black women who were current drinkers at the time of breast cancer diagnosis (N cases = 715) and had available genetic data for four ethanol metabolism genomic regions (ADH, ALDH, CYP2E1, and ALDH2). We used generalized estimating equations to calculate genetic effects, gene* alcohol consumption (≥ 7drinks/week vs. < 7/week) interactions, and joint main plus interaction effects of up to 23,247 variants in ethanol metabolism genomic regions on odds of breast cancer. RESULTS: Among current drinkers, 21% of cases and 14% of controls reported consuming ≥ 7 drinks per week. We identified statistically significant genetic effects for rs79865122-C in CYP2E1 with odds of ER- breast cancer and odds of triple negative breast cancer, as well as a significant joint effect with odds of ER- breast cancer (≥ 7drinks per week OR = 3.92, < 7 drinks per week OR = 0.24, pjoint = 3.74 × 10-6). In addition, there was a statistically significant interaction of rs3858704-A in ALDH2 with consumption of ≥ 7 drinks/week on odds of triple negative breast cancer (≥ 7drinks per week OR = 4.41, < 7 drinks per week OR = 0.57, pint = 8.97 × 10-5). CONCLUSIONS: There is a paucity of information on the impact of genetic variation in alcohol metabolism genes on odds of breast cancer among Black women. Our analysis of variants in four genomic regions harboring ethanol metabolism genes in a large consortium of U.S. Black women identified significant associations between rs79865122-C in CYP2E1 and odds of ER- and triple negative breast cancer. Replication of these findings is warranted.

Sex differences in methylation profiles are apparent in medulloblastoma, particularly among SHH tumors.

Background: Medulloblastoma, the most common malignant pediatric brain tumor, displays marked sex differences in prevalence of the four main molecular subgroups: SHH, WNT, Group 3 and Group 4. Males are more frequently diagnosed with SHH, Group 3 and 4 tumors, which have worse prognoses than WNT tumors. Little is known about sex differences in methylation profiles within subgroups. Methods: Using publicly available methylation data (Illumina HumanMethylation450K array), we compared beta values for males versus females. Differentially methylated positions (DMP) by sex within medulloblastoma subgroups were identified on the autosomes. DMPs were mapped to genes and Reactome pathway analysis was run by subgroup. Kaplan-Meier survival curves (Log-Rank p-values) were assessed for each sex within subgroup. MethylCIBERSORT was used to investigate the tumor microenvironment using deconvolution to estimate the abundances of immune cell types using DNA methylation data. Results: There were statistically significant differences in sex by medulloblastoma subgroups (chi-squared p-value=0.00004): Group 3 (n=144; 65% male), Group 4 (n=326; 67% male), SHH (n=223; 57% male) and WNT (n=70; 41% male). Females had worse survival than males for SHH (p-value=0.02). DMPs by sex were identified within subgroups: SHH (n=131), Group 4 (n=29), Group 3 (n=19), and WNT (n=16) and validated in an independent dataset. Unsupervised hierarchical clustering showed that sex-DMPs in SHH did not correlate with other tumor attributes. Ten genes with sex DMPs (RFTN1, C1orf103, FKBP1B, COL25A1, NPDC1, B3GNT1, FOXN3, RNASEH2C, TLE1, and PHF17) were shared across subgroups. Significant pathways (p<0.05) associated with DMPs were identified for SHH (n=22) and Group 4 (n=4) and included signaling pathways for RET proto-oncogene, advanced glycosylation end product receptor, regulation of KIT, neurotrophic receptors, NOTCH, and TGF-ß. In SHH, we identified DMPs in four genes (CDK6, COL25A1, MMP16, PRIM2) that encode proteins which are the target of therapies in clinical trials for other cancers. There were few sex differences in immune cell composition within tumor subgroups. Conclusion: There are sexually dimorphic methylation profiles for SHH medulloblastoma where survival differences were observed. Sex-specific therapies in medulloblastoma may impact outcomes.

Evaluation of the Association Between Congenital Cytomegalovirus Infection and Pediatric Acute Lymphoblastic Leukemia.

Importance: Acute lymphoblastic leukemia (ALL) is the most common form of pediatric cancer, and a leading cause of death in children. Understanding the causes of pediatric ALL is necessary to enable early detection and prevention; congenital cytomegalovirus (cCMV) has recently been identified as a potential moderate-to-strong factor associated with risk for ALL. Objective: To compare the prevalence of cCMV infection between ALL cases and matched controls. Design, Setting, and Participants: In this population-based case-control study of ALL cases and matched controls, cases consisted of children aged 0 to 14 years between 1987 and 2014 with an ALL diagnosis identified through the Michigan Cancer Surveillance Program and born in Michigan on or after October 1, 1987. Cancer-free controls were identified by the Michigan BioTrust for Health and matched on age, sex, and mother's race and ethnicity. Data were analyzed from November to May 2022. Exposures: cCMV infection measured by quantitative polymerase chain reaction in newborn dried blood spots. Main Outcomes and Measures: ALL diagnosed in children aged 0 to 14 years. Results: A total of 1189 ALL cases and 4756 matched controls were included in the study. Bloodspots were collected from participants at birth, and 3425 (57.6%) participants were male. cCMV was detected in 6 ALL cases (0.5%) and 21 controls (0.4%). There was no difference in the odds of cCMV infection comparing ALL cases with controls (odds ratio, 1.30; 95% CI, 0.52-3.24). Immunophenotype was available for 536 cases (45.1%) and cytogenetic data for 127 (27%). When stratified by subtype characteristics, hyperdiploid ALL (74 cases) was associated with 6.26 times greater odds of cCMV infection compared with unmatched controls (95% CI, 1.44-27.19). Conclusions and Relevance: In this case-control study of cCMV and pediatric ALL, cCMV was associated with increased risk of hyperdiploid ALL. These findings encourage continued research.

Genetic ancestry, differential gene expression, and survival in pediatric B-cell acute lymphoblastic leukemia.

BACKGROUND: Black children have lower incidence yet worse survival than White and Latinx children with B-cell acute lymphoblastic leukemia (B-ALL). It is unclear how reported race/ethnicity (RRE) is associated with death in B-ALL after accounting for differentially expressed genes associated with genetic ancestry. METHODS: Using Phase 1 and 2 NCI TARGET B-ALL cases (N = 273; RRE-Black = 21, RRE-White = 162, RRE-Latinx = 69, RRE-Other = 9, RRE-Unknown = 12), we estimated proportions of African (AFR), European (EUR), and Amerindian (AMR) genetic ancestry. We estimated hazard ratios (HR) and 95% confidence intervals (95% CI) between ancestry and death while adjusting for RRE and clinical measures. We identified genes associated with genetic ancestry and adjusted for them in RRE and death associations. RESULTS: Genetic ancestry varied within RRE (RRE-Black, AFR proportion: Mean: 78.5%, Range: 38.2%-93.6%; RRE-White, EUR proportion: Mean: 94%, Range: 1.6%-99.9%; RRE-Latinx, AMR proportion: Mean: 52.0%, Range: 1.2%-98.7%). We identified 10, 1, and 6 differentially expressed genes (padjusted  <0.05) associated with AFR, AMR, and EUR ancestry proportion, respectively. We found AMR and AFR ancestry were statistically significantly associated with death (AMR each 10% HR: 1.05, 95% CI: 1.03-1.17, AFR each 10% increase HR: 1.03, 95% CI:1.01-1.19). RRE differences in the risk of death were larger in magnitude upon adjustment for genes associated with genetic ancestry for RRE-Black, but not RRE-Latinx children (RRE-Black HR: 3.35, 95% CI: 1.31, 8.53; RRE-Latinx HR: 1.47, 0.88-2.45). CONCLUSIONS: Our work highlights B-ALL survival differences by RRE after adjusting for ancestry differentially expressed genes suggesting other factors impacting survival are important.

Survival disparities for childhood cancers exist when defined by race/ethnicity and sex.

BACKGROUND: There are documented racial/ethnic and sex differences in pediatric cancer survival; however, it is unknown whether pediatric cancer survival disparities exist when race/ethnicity and sex are considered jointly. METHODS: Using SEER data (2000-2017), we estimated survival differences by race/ethnicity within sexes and by sex within race/ethnicity (White, Black, Hispanic, and Asian/Pacific Islander [API]) for 17 cancers in children aged (0-19 years). Kaplan-Meier curves (Log-Rank p-values) were assessed. Cox regression was used to estimate hazards ratios (HRs) and 95 % confidence intervals (95 % CIs) between race/ethnicity/sex and cancer. RESULTS: We included 51,759 cases (53.6 % male, 51.9 % White). There were statistically significant differences in 18-year survival by race/ethnicity-sex for 12/17 cancers. Within sexes, minorities had an increased risk of death compared to Whites for various cancers including acute lymphoblastic leukemia (ALL) (females: HispanicHR: 1.78, 95 % CI: 1.52, 2.10; BlackHR: 1.70, 95 % CI: 1.29, 2.24; APIHR: 1.42, 95 % CI: 1.07-1.89; males ALL: HispanicHR: 1.58, 95 % CI: 1.39,1.79; BlackHR: 1.57, 95 % CI: 1.26,1,95; API-HR: 1.39, 95 % CI: 1.11, 1.75) and astrocytoma (females: HispanicHR: 1.49, 95 % CI: 1.19, 1.85; BlackHR: 1.67, 95 % CI: 1.29, 2.17; API-HR: 1.51, 95 % CI: 1.05, 2.15; males: HispanicHR:1.27, 95 % CI: 1.04, 1.56; BlackHR: 1.69, 95 % CI: 1.32, 2.17; API-HR: 1.92, 95 % CI: 1.43, 2.58). Sex differences in survival within racial/ethnic groups were observed for White (ALL, osteosarcoma), Hispanic (medulloblastoma), and API (Primitive Neuro-Ectodermal Tumor [PNET]) children. CONCLUSIONS: There are disparities in survival by both race/ethnicity and sex highlighting the societal and biologic influences these features have on survival in children with cancer.

Global variation in young adult central nervous system tumor incidence by region, age, and sex from 1988 to 2012.

BACKGROUND: Central nervous system (CNS) tumors result in tremendous morbidity and mortality. Incidence of CNS tumors in young adults is less studied. It is unknown how young adult CNS tumor incidence has changed globally in recent decades. METHODS: We used Cancer Incidence in Five Continents (CI5) data (1988-2012) to estimate incidence rates (IR), average annual percent change in incidence (AAPC; 95% confidence intervals [95% CI]), and male-to-female incidence rate ratios (IRR; 95% CI) by six histologies and age at diagnosis (20-29years, 30-39years). Tumors were classified as astrocytic, medulloblastoma, ependymal, oligodendroglial, meninges, and other embryonal. Geographic regions were defined using the United Nations Statistics Division geoscheme. RESULTS: There were 78,240 CNS tumor cases included. 20-29-year-old (yo) rates were lower than 30-39 yo in most regions for astrocytic, oligodendroglial and ependymal tumors. Globally, astrocytic tumor incidence decreased (20-29 yo AAPC: - 0.70; 95% CI: - 1.32, - 0.08) while incidence increased for oligodendroglial (20-29 yo AAPC: 3.03; 95% CI: 1.57-4.51; 30-39 yo AAPC: 2.67; 95% CI: 0.79-4.58), ependymal (20-29 yo AAPC: 1.16; 95% CI: 0.31-2.03; 30-39 yo AAPC: 2.29; 95% CI: 1.14-3.46), medulloblastoma (30-39 yo AAPC: 0.6; 95% CI: 0.04-1.24) and tumors of the meninges (20-29 yo AAPC: 1.55; 95% CI: 0.04-3.07). There was a 20-40% male incidence excess in all histologies except for meninge tumors (30-39 yo IRR: 0.71; 95% CI: 0.61, 0.84). CONCLUSIONS: Incidence of oligodendroglial and ependymal tumors increased globally in 20-39 yo suggesting better diagnoses or changes in risk factors. Males had a higher incidence of CNS tumors for most tumors studied and in most regions.

Minority children experience a higher risk of death from many central nervous system tumor types even after accounting for treatment received: A National Cancer Database analysis.

BACKGROUND: Brain tumors are the leading cause of death from disease in children. Racial/ethnic minority children have poorer outcomes than White children; however, it is not clear whether this association is mediated by treatment received. METHODS: Children (aged 0-19 years) diagnosed with brain tumors in the National Cancer Database (2004-2016) were identified. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) between race/ethnicity (Black, Hispanic, Asian/Pacific Islander, American Indian/Alaska Native, or White [reference]) and death. An inverse odds weighted mediation analysis was performed with treatment received as the mediator. RESULTS: Among 22,469 cases, White children (69% of the sample) had significantly better overall 12.5-year survival (P < .01). Black children (13% of the sample) and Hispanic children (14% of the sample) had an increased risk of death overall and for glioblastoma and oligodendroglioma. Compared with Whites, Asian/Pacific Islander children had a higher risk of death from choroid plexus tumors and a lower risk of death from medulloblastoma. There were no statistically significant meditating effects by treatment received, although the estimate was borderline in Hispanic children (indirect HR, 1.08; 95% CI, 0.99-1.18). A treatment-independent association between race/ethnicity and death remained for Hispanic children (direct HR, 1.18; 95% CI, 1.04-1.33) and Black children (direct HR, 1.28; 95% CI, 1.13-1.45). If deaths in minorities had equaled those in White children, 5% fewer total deaths and 15% fewer minority deaths would have occurred. CONCLUSIONS: Survival disparities exist in pediatric brain tumors and are largely independent of treatment received, but other mechanisms linked to race/ethnicity remain important.

Young adult males have worse survival than females that is largely independent of treatment received for many types of central nervous system tumors: A National Cancer Database analysis.

BACKGROUND: Central nervous system (CNS) tumors rank among the top 5 cancers diagnosed in young adults aged 20 to 39 years at diagnosis and show a clear male excess in incidence. It is unknown whether sex differences in survival persist across histologic types and depend on the treatment received. METHODS: From the National Cancer Database (2004-2016), young adults (aged 20-39 years) who had been diagnosed with CNS tumors were identified. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated as measures of association between sex and death via Cox regression. An inverse odds weighting mediation analysis was performed with treatment received as a mediator. RESULTS: There were 47,560 cases (47% male). Males had worse overall survival than females for 9 of 16 histologic types, including diffuse astrocytoma, glioblastoma, and meningioma (all P < .05). Males had an increased risk of death after a brain tumor diagnosis overall (HR, 1.47; 95% CI, 1.41-1.53) and for 8 histologies. There was a significant association between male sex and death overall that was mediated by treatment received (indirect-effect HR, 1.17; 95% CI, 1.15-1.18), but no single histology had a significant indirect effect. All histologies examined in mediation analyses had significant direct effects for sex. The excess mortality due to sex was 20% for all CNS tumors combined and 34% among males with CNS tumors. CONCLUSIONS: Overall, treatment received may mediate a portion of the association between sex and death after a CNS tumor, but sex itself appears to be a stronger risk factor for death in this study.

Quantitative analysis of breast cancer tissue composition and associations with tumor subtype.

The tumor microenvironment is an important determinant of breast cancer progression, but standard methods for describing the tumor microenvironment are lacking. Measures of microenvironment composition such as stromal area and immune infiltrate are labor-intensive and few large studies have systematically collected this data. However, digital histologic approaches are becoming more widely available, allowing high-throughput, quantitative estimation. We applied such methods to tissue microarrays of tumors from 1687 women (mean 4 cores per case) in the Carolina Breast Cancer Study Phase 3. Tumor composition was quantified as percentage of epithelium, stroma, adipose, and lymphocytic infiltrate (with the latter as presence/absence using a ≥1% cutoff). Composition proportions and presence/absence were evaluated in association with clinical and molecular features of breast cancer (intrinsic subtype and RNA-based risk of recurrence [ROR] scores) using multivariable linear and logistic regression. Lower stromal content was associated with aggressive tumor phenotypes, including triple-negative (31.1% vs. 41.6% in HR+/HER2-; RFD [95% CI]: -10.5%, [-13.1, -7.9]), Basal-like subtypes (29.0% vs. 44.0% in Luminal A; RFD [95% CI]: -14.9%, [-17.8, -12.0]), and high RNA-based PAM50 ROR scores (27.6% vs. 48.1% in ROR low; RFD [95% CI]: -20.5%, [24.3, 16.7]), after adjusting for age and race. HER2+ tumors also had lower stromal content, particularly among RNA-based HER2-enriched (35.2% vs. 44.0% in Luminal A; RFD [95% CI]: -8.8%, [-13.8, -3.8]). Similar associations were observed between immune infiltrate and tumor phenotypes. Quantitative digital image analysis of the breast cancer microenvironment showed significant associations with demographic characteristics and biological indicators of aggressive behavior.

Racial/ethnic and sex differences in young adult malignant brain tumor incidence by histologic type.

BACKGROUND: Brain tumors are among the top four cancers in young adults. We assessed important windows of tumor development and examined the interplay of race/ethnicity, age, and sex in young adult brain tumor incidence. METHODS: Using SEER 18 data (2000-2017), incidence rates were estimated by Poisson regression in individuals aged 20-39 years at diagnosis. Incidence rate ratios (IRR) and 95% confidence intervals (95% CI) were estimated by race/ethnicity, sex and age for 12 malignant histologies. RESULTS: White incidence for all histologies was higher (White vs. Black IRR: 2.09, 95% CI: 1.94, 2.24; White vs Asian Pacific Islander IRR: 1.88, 95% CI: 1.75, 2.03; White vs Hispanic IRR: 1.70, 95% CI: 1.62, 1.78; White vs American Indian IRR: 1.40, 95% CI: 1.14, 1.73). Minority groups had higher lymphoma incidence (White vs Black IRR: 0.32, 95% CI: 0.25, 0.40, White vs Hispanic HR: 0.55, 95% CI: 0.44, 0.68). Males had higher incidence than females for all histologies (IRR: 1.36, 95% CI: 1.31, 1.41). Male rates were highest for lymphoma (male-to-female [MF] IRR: 2.00, 95% CI: 1.65, 2.42) and glioblastoma (MF IRR: 1.61, 95% CI: 1.48, 1.75). The male excess in incidence was similar by race/ethnicity and increased with age (20-24-year-old IRR: 1.18, 95% CI: 1.07, 1.29; 35-39-year-old IRR: 1.44, 95% CI: 1.35, 1.54). CONCLUSIONS: A White race and male incidence excess was observed among brain tumors. IMPACT: The male excess was similar by race/ethnicity and increased with age suggesting male sex may be an intrinsic risk factor for brain tumor development.

Impact of fetal expression quantitative trait loci on transcriptome-wide association study of childhood leukemia.

Transcriptome-wide association studies increase the yield of loci associated with disease phenotypes by focusing on expression quantitative trait loci (eQTL). The major source of eQTL data for is the Gene and Tissue Expression (GTEx) project, which is comprised entirely of adults, mainly those >50 years of age at death. Since gene expression levels differ by developmental stage, it is not clear whether eQTLs derived from adult data sources are best suited for use in young-onset diseases such as pediatric cancers. To fill in this knowledge gap, we performed a large-scale eQTL mapping analysis in the GenCord study with newborn samples and compared it with GTEx. Under matched conditions, we found around 80% of the eQTLs in one study can be replicated in the other. However, among all eQTLs identified in GenCord (GTEx), 584 (1045) showed statistically significant differences in effect sizes in GTEx (GenCord). We further investigated how using fetal eQTL data can facilitate the genetic association study of acute lymphoblastic leukemia. GenCord and GTEx identified the same genetic loci with statistical significance; however, the overall association pattern was only weakly correlated. Our paper demonstrates age-differential eQTLs and shows their potential influence on childhood leukemia research.

Sex differences in associations between birth characteristics and childhood cancers: a five-state registry-linkage study.

BACKGROUND: There is a well-recognized male excess in childhood cancer incidence; however, it is unclear whether there is etiologic heterogeneity by sex when defined by epidemiologic risk factors. METHODS: Using a 5-state registry-linkage study (cases n = 16,411; controls n = 69,816), we estimated sex-stratified odds ratios (OR) and 95% confidence intervals (95% CI) between birth and demographic characteristics for 16 pediatric cancers. Evidence of statistical interaction (p-interaction < 0.01) by sex was evaluated for each characteristic in each cancer. RESULTS: Males comprised > 50% of cases for all cancers, except Wilms tumor (49.6%). Sex interacted with a number of risk factors (all p-interaction < 0.01) including gestational age for ALL (female, 40 vs. 37-39 weeks OR: 0.84, 95% CI 0.73-0.97) and ependymoma (female, 40 vs. 37-39 OR: 1.78, 95% CI 1.14-2.79; female, ≥ 41 OR: 2.01. 95% CI 1.29-3.14), birth order for AML (female, ≥ 3rd vs. 1st OR: 1.39, 95% CI 1.01-1.92), maternal education for Hodgkin lymphoma (male, any college vs. < high school[HS] OR: 1.47, 95% CI 1.03-2.09) and Wilms tumor (female, any college vs. HS OR: 0.74, 95% CI 0.59-0.93), maternal race/ethnicity for neuroblastoma (male, black vs. white OR: 2.21, 95% CI 1.21-4.03; male, Hispanic vs. white OR: 1.86, 95% CI 1.26-2.75; female, Asian/Pacific Islander vs. white OR: 0.28, 95% CI 0.12-0.69), and paternal age (years) for hepatoblastoma in males (< 24 vs. 25-29 OR: 2.17, 95% CI 1.13-4.19; ≥ 35 vs. 25-29 OR: 2.44, 95% CI 1.28-4.64). CONCLUSIONS: These findings suggest etiologic heterogeneity by sex for childhood cancers for gestational age, maternal education, and race/ethnicity and paternal age.

Trends in pediatric lymphoma incidence by global region, age and sex from 1988-2012.

BACKGROUND: Global variation in lymphoma incidence by type and age at diagnosis, region, sex, and Human Development Index (HDI) categories has not been reported, may shed light on potential biologic mechanisms and identify areas for targeted interventions. METHODS: Using the Cancer Incidence in Five Continents data from 1988 to 2012, we identified Hodgkin (HL), non-Hodgkin (NHL), and Burkitt lymphoma (BL) diagnosed in children aged 0-19 years. We estimated incidence rates (IRs; cases/million) and average annual percent change in incidence (AAPC; 95 % CI) by geographic region, sex, and HDI for each age group (0-9years and 10-19 years). RESULTS: There were 42,440 NHL, 38,683 H L, and 7703 included. Southern European (SE) 10-19-year-olds (yo) had the highest IR of NHL (19.6 cases/million) in 2008-2012. HL IRs for 0-9yo were <6 cases/million and >25 cases/million for 10-19yo in European regions and Oceania (OC). BL IRs were generally <5cases/million. Northern Europe (NE), SE, and OC 10-19yo had significantly increased APPCs in incidence for all lymphomas with the largest increases in BL (NE AAPC: 7.69 %; 95 % CI: 5.27, 10.16; SE AAPC: 5.21 %; 95 % CI: 3.26, 7.19; OC AAPC: 3.97 %; 95 % CI: 3.26, 4.70). BL incidence increased among males of all ages by approximately 2 %. NHL and BL incidence increased significantly among 10-19yo in very high HDI countries by approximately 3 %. CONCLUSIONS: Southern and Northern Europe and Oceania displayed increased incidence of all lymphomas studied from 1988 to 2012. BL incidence significantly increased in 8 of 15 global regions, males, and higher HDI countries over the study period. Mechanisms underlying these increases remain to be elucidated.

Cesarean Section Is Associated with an Increased Risk of Acute Lymphoblastic Leukemia and Hepatoblastoma in Children from Minnesota.

BACKGROUND: In recent decades, Cesarean section (C-section) rates have increased. C-section is hypothesized to negatively impact the developing immune system by altering activation of the hypothalamic-pituitary-adrenal axis and the infant microbiome, among other mechanisms, thereby potentially modulating childhood cancer risk. METHODS: Using linked birth and cancer registry data from Minnesota (1976-2014), we included individuals ages 0-14 at diagnosis with one of 19 cancers. Cases and controls were frequency matched by birth year. We used logistic regression to estimate ORs and 95% confidence intervals (95% CI) as the measure of association between C-section and cancer. We assessed sex-C-section interactions for each cancer and conducted stratified analyses in acute lymphoblastic leukemia (ALL) for birth year, age at diagnosis, and maternal race. RESULTS: There were 3,166 cases and 20,589 controls. One third (n = 1,174) of controls born during 2004-2014 were delivered via C-section compared with 42.2% of cases (n = 285). C-section was associated with ALL (n = 819; OR: 1.20; 95% CI: 1.01-1.43) and hepatoblastoma (n = 50; OR: 1.89; 95% CI: 1.03-3.48), particularly among females (ALL OR: 1.34; 95% CI: 1.04-1.72; hepatoblastoma OR: 3.87; 95% CI: 1.30-11.57). The risk of ALL was highest during 2005-2014 (OR: 1.62; 95% CI: 1.11-2.34) and among children ages 1-5 years (OR: 1.28; 95% CI: 1.02-1.61). CONCLUSIONS: C-section was associated with an increased risk of ALL and hepatoblastoma. IMPACT: These associations require investigation to determine causality and rule out confounding by indication or reverse causality. The mechanisms underlying these associations may depend on neonatal immune system processes altered during C-section deliveries.

Sex differences in expression of immune elements emerge in children, young adults and mice with osteosarcoma.

BACKGROUND: Males < 40 years old are more likely to be diagnosed with and die from osteosarcoma (OS). The underlying mechanisms may depend on sex differences in immune response. METHODS: We used SEER data to estimate survival differences between males and females aged < 40 years at OS diagnosis. In NCI TARGET-OS cases, we determined sex differences in gene expression, conducted Gene Set Enrichment Analysis (GSEA), and applied the LM22 signature to identify biologic sex differences. We compared sex differences in gene expression profiles in TARGET-OS to those observed in Sleeping Beauty (SB) transposon mutagenesis accelerated Trp53R270H-mutant mouse-OS and healthy adult osteoblasts. RESULTS: Males had worse 17-year overall survival than females (SEER p < 0.0001). From 87 TARGET-OS cases, we observed 1018 genes and 69 pathways that differed significantly by sex (adjusted p < 0.05). Pathway and gene lists overlapped with those from mice (p = 0.03) and healthy osteoblasts (p = 0.017), respectively. Pathways that differed significantly by sex were largely immune-based and included the PD-1/PD-L1 immunotherapy pathway. We observed sex differences in M2 macrophages (LM22; p = 0.056) and M1-M2 macrophage transition (GSEA; p = 0.037) in TARGET-OS. LM22 trends were similar in mice. Twenty-four genes differentially expressed by sex in TARGET-OS had existing cancer therapies. CONCLUSIONS: Sex differences in OS gene expression were similar across species and centered on immune pathways. Identified sex-specific therapeutic targets may improve outcomes in young individuals with OS.

Genetic variants in anti-Müllerian hormone-related genes and breast cancer risk: results from the AMBER consortium.

PURPOSE: Circulating anti-Müllerian hormone (AMH) levels are positively associated with time to menopause and breast cancer risk. We examined breast cancer associations with single nucleotide polymorphisms (SNPs) in the AMH gene or its receptor genes, ACVR1 and AMHR2, among African American women. METHODS: In the AMBER consortium, we tested 65 candidate SNPs, and 1130 total variants, in or near AMH, ACVR1, and AMHR2 and breast cancer risk. Overall, 3649 cases and 4230 controls contributed to analyses. Odds ratios (OR) and 95% confidence intervals (CI) for breast cancer were calculated using multivariable logistic regression. RESULTS: After correction for multiple comparisons (false-discovery rate of 5%), there were no statistically significant associations with breast cancer risk. Without correction for multiple testing, four candidate SNPs in ACVR1 and one near AMH were associated with breast cancer risk. In ACVR1, rs13395576[C] was associated with lower breast cancer risk overall (OR 0.84; 95% CI 0.72, 0.97) and for ER+ disease (OR 0.75; CI 0.62, 0.89) (p < 0.05). Rs1220110[A] and rs1220134[T] each had ORs of 0.89-0.90 for postmenopausal and ER+ breast cancer (p ≤ 0.03). Conversely, rs1682130[T] was associated with higher risk of ER+ breast cancer (OR 1.17; 95% CI 1.04, 1.32). Near AMH, rs6510652[T] had ORs of 0.85-0.90 for breast cancer overall and after menopause (p ≤ 0.02). CONCLUSIONS: The present results, from a large study of African American women, provide limited support for an association between AMH-related polymorphisms and breast cancer risk and require replication in other studies.