Birth weight and the risk of histological subtypes of ovarian and endometrial cancers: Results from the Copenhagen School Health Records Register

Prenatal exposure to maternal smoking and adult lung cancer risk: a nested case-control study using peripheral blood leukocyte DNA methylation prediction of exposure

A prior study reported no association between prenatal smoking methylation scores and adult lung cancer risk adjusting for methylation-predicted adult smoking, without considering maternal smoking trends by birth cohort. To address this gap, we examined the association between prenatal smoking methylation scores and adult lung cancer, independent of methylation-predicted adult packyears and by birth cohort, in a study nested in CLUE II. Included were 208 incident lung cancer cases ascertained by cancer registry linkage and 208 controls matched on age, sex, and smoking. DNA methylation was measured in prediagnostic blood. We calculated two prenatal smoking scores, using 19 (Score-19) and 15 (Score-15) previously identified CpGs and a methylation-predicted adult packyears score. Conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) adjusting for adult packyears score and batch effects. Score-15 was positively associated with lung cancer (per standard deviation, OR = 1.40, 95% CI = 1.10-1.79, P-trend = .006), especially in the 1930-1938 birth cohort (OR = 3.43, 95% CI = 1.55-7.60, P-trend = .002). Score-19 was associated only in the 1930-1938 birth cohort (OR = 2.12, 95% CI = 1.15-3.91). Participants with both prenatal scores below the median (vs all other combinations) had lower risk (OR = 0.44, 95% CI = 0.27-0.72), especially in the 1930-1938 birth cohort (OR = 0.16, 95% CI = 0.04-0.62). Among ever smokers, participants with higher prenatal smoking scores had higher risk, irrespective of adult packyears (low: OR = 2.81, 95% CI = 1.38-5.72, high: OR = 2.67, 95% CI = 1.03-6.95). This prospective study suggests a positive association between prenatal smoking exposure and adult lung cancer risk, especially in the 1930-1938 birth cohort, independent of active smoking. Future studies with multiple birth cohorts are needed.

Performance of whole-genome promoter nucleosome profiling of maternal plasma cell-free DNA for prenatal noninvasive prediction of fetal macrosomia: a retrospective nested case-control study in mainland China

Background

Fetal macrosomia is common occurrence in pregnancy, which is associated with several adverse prognosis both of maternal and neonatal. While, the accuracy of prediction of fetal macrosomia is poor. The aim of this study was to develop a reliable noninvasive prediction classifier of fetal macrosomia.

Methods

A total of 3600 samples of routine noninvasive prenatal testing (NIPT) data at 12^+ 0–27^+ 6 weeks of gestation, which were subjected to low-coverage whole-genome sequencing of maternal plasma cell-free DNA (cfDNA), were collected from three independent hospitals. We identified set of genes with significant differential coverages by comparing the promoter profiling between macrosomia cases and controls. We selected genes to develop classifier for noninvasive predicting, by using support vector machine (SVM) and logistic regression models, respectively. The performance of each classifier was evaluated by area under the curve (AUC) analysis.

Results

According to the available follow-up results, 162 fetal macrosomia pregnancies and 648 matched controls were included. A total of 1086 genes with significantly differential promoter profiling were found between pregnancies with macrosomia and controls (p < 0.05). With the AUC as a reference，the classifier based on SVM (C_MA-A2) had the best performance, with an AUC of 0.8256 (95% CI: 0.7927–0.8586).

Conclusions

Our study provides that assessing the risk of fetal macrosomia by whole-genome promoter nucleosome profiling of maternal plasma cfDNA based on low-coverage next-generation sequencing is feasible.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-05027-w.

Childhood Overweight, Tallness, and Growth Increase Risks of Ovarian Cancer

BACKGROUND

Adult body size is related to ovarian cancer risks, but size in childhood may also influence risks. We investigated if childhood body mass index (kg/m2), height, and growth patterns were associated with ovarian cancer overall and by histologic subtypes, including effects of birthweight.

METHODS

A cohort of 155,958 girls from the Copenhagen School Health Records Register, born 1930 to 1989 with measured weights and heights from 7 to 13 years, were included. During follow-up, 1,041 ovarian cancers were recorded. Overweight was defined using International Obesity Task Force criteria. Cox regressions were performed.

RESULTS

Compared with non-overweight girls, at most ages girls with overweight had increased risks of ovarian cancer overall (HR range: 1.24-1.34), mucinous, endometrioid, and clear cell ovarian cancers, but not serous and other ovarian cancers. Childhood height had positive and significant associations with ovarian cancer overall (HR range: 1.07-1.10 per z-score) and the endometrioid subtype but not with the other subtypes. Adjusting for birthweight minimally altered the associations with childhood body size. In growth analyses, girls with overweight or who were tall at 7 and 13 years had increased risks of ovarian cancer overall compared with average-sized girls at both ages.

CONCLUSIONS

Ovarian carcinogenesis is linked to childhood overweight, tallness, and growth, with variations across histological subtypes, suggesting that early life plays a role in the origins of this disease.

IMPACT

These findings emphasize that healthy body size and growth during childhood are important as they may contribute to reducing ovarian cancer risks.