Irregular menses predicts ovarian cancer: Prospective evidence from the Child Health and Development Studies

Syphilis susceptibility factors atlas: A wide-angled Mendelian randomization study

OBJECTIVE

The pathogenic mechanisms of syphilis and the host defense mechanisms against syphilis remain poorly understood. Exploration of the susceptibility factors of syphilis may provide crucial clues for unraveling its underlying mechanisms.

METHODS

A two-sample Mendelian Randomization framework was utilized, and the inverse-variance weighted method was used as the main analysis. All data was sourced from Genome-wide association studies datasets from 2015 to 2022 in Europe, and all participants were of European descent. Only summary-level statistics were used. Sensitivity analyses were conducted to evaluate the heterogeneity and pleiotropy of the datasets.

RESULTS

Our study established 18 exposure factors (12 risk factors and 6 protective factors) for syphilis susceptibility. Twelve factors encompassing body mass index, waist circumference, darker natural skin, cooked vegetable intake, processed meat intake, diabetes mellitus, glucose regulation disorders, gout, autoimmune diseases, rheumatoid arthritis, diverticulitis, and longer menstrual cycles were found to increase susceptibility to syphilis. In contrast, 6 factors including easier skin tanning, blonde natural hair color, irritability, higher neuroticism scores, extended sleep duration, and delayed age at first sexual intercourse were connected to a reduced risk of syphilis infection (all P < 0.05).

CONCLUSIONS

This study identified 18 influencing factors of syphilis susceptibility. These findings offered novel insights for further probing into the underlying pathogenic mechanisms of syphilis and underscored the importance of multifaceted prevention strategies against syphilis.

The Associations and Causal Relationships of Ovarian Cancer - Construction of a Prediction Model

Purpose

To explore the risk and protective factors for developing ovarian cancer and construct a risk prediction model.

Methods

Information related to patients diagnosed with ovarian cancer on the electronic medical record data platform of three tertiary hospitals in Guangdong Province from May 2018 to September 2023 was collected as the case group. Patients with non-ovarian cancer who attended the clinic during the same period were included in the control group. Logistic regression analysis was used to screen the independent variables and explore the factors associated with the development of ovarian cancer. An ovarian cancer risk prediction model was constructed using a decision tree C4.5 algorithm. The ROC and calibration curves were plotted, and the model was validated.

Results

Logistic regression analysis identified independent risk and protective factors for ovarian cancer. The sample size was divided into training and test sets in a ratio of 7:3 for model construction and validation. The AUC of the training and test sets of the decision tree model were 0.961 (95% CI:0.944-0.978) and 0.902 (95% CI:0.840-0.964), respectively, and the optimal cut-off values and their coordinates were 0.532 (0.091, 0.957), and 0.474 (0.159, 0.842) respectively. The accuracies of the training and test sets were 93.3% and 84.2%, respectively, and their sensitivities were 95.7% and 84.2%, respectively.

Conclusion

The constructed ovarian cancer risk prediction model has good predictive ability, which is conducive to improving the efficiency of early warning of ovarian cancer in high-risk groups.

Menstrual and reproductive factors associated with risk of breast cancer among Indian women: a cross sectional study from National Family Health Survey, 2019-21

BACKGROUND

The breast cancer is common cancer in women globally. The risk of breast cancer is strongly associated with women's menstrual and reproductive factors that have been established in different countries. Therefore present study was aim to explore the association between menstrual and reproductive factors and the risk of breast cancer screening in Indian women.

METHODS

The present study data has been used fifth round of the National Family Health Survey (NFHS-V) with 724,115 women in aged 15-49 in 2019-21. The self-reported ever screened of breast cancer for women aged 30-49 was the main outcome variable of the study. Logistic regression models were used to estimate odds ratios and 95% confidence intervals for breast cancer by menstrual and reproductive factors adjusted for potential confounders.

RESULTS

Late menarche (OR = 2.20, 95% CI: 1.48-3.28), irregular menstrual cycle (OR = 1.29, 95% CI: 1.08-3.53)), delay age at first birth (OR = 1.93, 95% CI: 1.11-3.04) and contraceptive pill used (OR = 1.11, 95% CI: 0.74-2.10) were significantly associated to increases the uptake of screening breast cancer. While, a higher number of birth (OR = 0.52, 95% CI: 0.10-1.03), and long duration of breast-feeding practice (OR = 0.75, 95% CI: 0.63-0.91) were reduced to participate for screening breast cancer.

CONCLUSION

The results of the study confirm the role of menstrual and reproductive factors in breast cancer in Indian women. Therefore, our findings are imperative for developing breast cancer prevention strategies and better preparedness. Creating awareness and providing knowledge on cancer could be key strategies for the reduction of breast cancer in Indian reproductive age group women.

Menstruation and social inequities in Spain: a cross-sectional online survey-based study

BACKGROUND

Available research suggests that menstrual inequity has an impact on (menstrual) health outcomes and emotional wellbeing. It is also a significant barrier to achieve social and gender equity and compromises human rights and social justice. The aim of this study was to describe menstrual inequities and their associations with sociodemographic factors, among women and people who menstruate (PWM) aged 18-55 in Spain.

METHODS

A cross-sectional survey-based study was conducted in Spain between March and July 2021. Descriptive statistical analyses and multivariate logistic regression models were performed.

RESULTS

A total of 22,823 women and PWM were included in the analyses (Mean age = 33.2, SD = 8.7). Over half of the participants had accessed healthcare services for menstruation (61.9%). The odds for accessing menstrual-related services were significantly higher among participants with university education (aOR: 1.48, 95% CI, 1.13-1.95). Also, 57.8% reported having had partial or no menstrual education pre-menarche, with odds being higher among participants born in non-European or Latin American countries (aOR: 0.58, 95% CI, 0.36-0.93). Lifetime self-reported menstrual poverty was between 22.2-39.9%. Main risk factors for menstrual poverty were identifying as non-binary (aOR: 1.67, 95% CI, 1.32-2.11), being born in non-European or Latin American countries (aOR: 2.74, 95% CI, 1.77-4.24), and not having a permit to reside in Spain (aOR: 4.27, 95% CI, 1.94-9.38). Completed university education (aOR: 0.61, 95% CI, 0.44-0.84) and no financial hardship < 12 months (aOR: 0.06, 95% CI, 0.06-0.07) were protective factors for menstrual poverty. Besides, 75.2% reported having overused menstrual products due to lack of access to adequate menstrual management facilities. Menstrual-related discrimination was reported by 44.5% of the participants. Non-binary participants (aOR: 1.88, 95% CI, 1.52-2.33) and those who did not have a permit to reside in Spain (aOR: 2.11, 95% CI, 1.10-4.03) had higher odds of reporting menstrual-related discrimination. Work and education absenteeism were reported by 20.3% and 62.7% of the participants, respectively.

CONCLUSIONS

Our study suggests that menstrual inequities affect a high number of women and PWM in Spain, especially those more socioeconomically deprived, vulnerabilised migrant populations and non-binary and trans menstruators. Findings from this study can be valuable to inform future research and menstrual inequity policies.

Abnormal uterine bleeding patterns determined through menstrual tracking among participants in the Apple Women's Health Study

BACKGROUND

Use of menstrual tracking data to understand abnormal bleeding patterns has been limited because of lack of incorporation of key demographic and health characteristics and confirmation of menstrual tracking accuracy.

OBJECTIVE

This study aimed to identify abnormal uterine bleeding patterns and their prevalence and confirm existing and expected associations between abnormal uterine bleeding patterns, demographics, and medical conditions.

STUDY DESIGN

Apple Women's Health Study participants from November 2019 through July 2021 who contributed menstrual tracking data and did not report pregnancy, lactation, use of hormones, or menopause were included in the analysis. Four abnormal uterine bleeding patterns were evaluated: irregular menses, infrequent menses, prolonged menses, and irregular intermenstrual bleeding (spotting). Monthly tracking confirmation using survey responses was used to exclude inaccurate or incomplete digital records. We investigated the prevalence of abnormal uterine bleeding stratified by demographic characteristics and used logistic regression to evaluate the relationship of abnormal uterine bleeding to a number of self-reported medical conditions.

RESULTS

There were 18,875 participants who met inclusion criteria, with a mean age of 33 (standard deviation, 8.2) years, mean body mass index of 29.3 (standard deviation, 8.0), and with 68.9% (95% confidence interval, 68.2-69.5) identifying as White, non-Hispanic. Abnormal uterine bleeding was found in 16.4% of participants (n=3103; 95% confidence interval, 15.9-17.0) after accurate tracking was confirmed; 2.9% had irregular menses (95% confidence interval, 2.7-3.1), 8.4% had infrequent menses (95% confidence interval, 8.0-8.8), 2.3% had prolonged menses (95% confidence interval, 2.1-2.5), and 6.1% had spotting (95% confidence interval, 5.7-6.4). Black participants had 33% higher prevalence (prevalence ratio, 1.33; 95% confidence interval, 1.09-1.61) of infrequent menses compared with White, non-Hispanic participants after controlling for age and body mass index. The prevalence of infrequent menses was increased in class 1, 2, and 3 obesity (class 1: body mass index, 30-34.9; prevalence ratio, 1.31; 95% confidence interval, 1.13-1.52; class 2: body mass index, 35-39.9; prevalence ratio, 1.25; 95% confidence interval, 1.05-1.49; class 3: body mass index, >40; prevalence ratio, 1.51; 95% confidence interval, 1.21-1.88) after controlling for age and race/ethnicity. Those with class 3 obesity had 18% higher prevalence of abnormal uterine bleeding compared with healthy-weight participants (prevalence ratio, 1.18; 95% confidence interval, 1.02-1.38). Participants with polycystic ovary syndrome had 19% higher prevalence of abnormal uterine bleeding compared with participants without this condition (prevalence ratio, 1.19; 95% confidence interval, 1.08-1.31). Participants with hyperthyroidism (prevalence ratio, 1.34; 95% confidence interval, 1.13-1.59) and hypothyroidism (prevalence ratio, 1.17; 95% confidence interval, 1.05-1.31) had a higher prevalence of abnormal uterine bleeding, as did those reporting endometriosis (prevalence ratio, 1.28; 95% confidence interval, 1.12-1.45), cervical dysplasia (prevalence ratio, 1.20; 95% confidence interval, 1.03-1.39), and fibroids (prevalence ratio, 1.14; 95% confidence interval, 1.00-1.30).

CONCLUSION

In this cohort, abnormal uterine bleeding was present in 16.4% of those with confirmed menstrual tracking. Black or obese participants had increased prevalence of abnormal uterine bleeding. Participants reporting conditions such as polycystic ovary syndrome, thyroid disease, endometriosis, and cervical dysplasia had a higher prevalence of abnormal uterine bleeding.

Bioinformatics and In silico approaches to identify novel biomarkers and key pathways for cancers that are linked to the progression of female infertility: A comprehensive approach for drug discovery

Despite modern treatment, infertility remains one of the most common gynecologic diseases causing severe health effects worldwide. The clinical and epidemiological data have shown that several cancerous risk factors are strongly linked to Female Infertility (FI) development, but the exact causes remain unknown. Understanding how these risk factors affect FI-affected cell pathways might pave the door for the discovery of critical signaling pathways and hub proteins that may be targeted for therapeutic intervention. To deal with this, we have used a bioinformatics pipeline to build a transcriptome study of FI with four carcinogenic risk factors: Endometrial Cancer (EC), Ovarian Cancer (OC), Cervical Cancer (CC), and Thyroid Cancer (TC). We identified FI sharing 97, 211, 87 and 33 differentially expressed genes (DEGs) with EC, OC, CC, and TC, respectively. We have built gene-disease association networks from the identified genes based on the multilayer network and neighbour-based benchmarking. Identified TNF signalling pathways, ovarian infertility genes, cholesterol metabolic process, and cellular response to cytokine stimulus were significant molecular and GO pathways, both of which improved our understanding the fundamental molecular mechanisms of cancers associated with FI progression. For therapeutic intervention, we have targeted the two most significant hub proteins VEGFA and PIK3R1, out of ten proteins based on Maximal Clique Centrality (MCC) value of cytoscape and literature analysis for molecular docking with 27 phytoestrogenic compounds. Among them, sesamin, galangin and coumestrol showed the highest binding affinity for VEGFA and PIK3R1 proteins together with favourable ADMET properties. We recommended that our identified pathway, hub proteins and phytocompounds may be served as new targets and therapeutic interventions for accurate diagnosis and treatment of multiple diseases.

Effect of COVID-19 vaccine on menstrual experience among females in six Arab countries: A cross sectional study

BACKGROUND

There have been varying reports on the potential occurrence and severity of changes to menstruation including the median cycle length, days of bleeding, bleeding heaviness, and menstrual pain, following receipt of COVID-19 vaccinations. We aimed to assess potential postvaccination menstrual changes in women residing in the Middle East.

METHODS

We implemented a cross-sectional online survey-based study. Data about the participants' demographic characteristics, menstruation experience, and vaccination status were collected and analyzed among six Arab countries.

RESULTS

Among 4942 menstruating females included in this study, females who had received one or more doses of COVID-19 vaccination reported a higher frequency of back pain, nausea, tiredness, pelvic pain with periods, unprescribed analgesics use, and passage of loose stools. They also reported higher scores describing average and worst menstrual pain. Fully vaccinated females reported heavier flow and more days of bleeding.

CONCLUSION

Our findings indicate that COVID-19 vaccine may have an effect on menstruation in terms of menstrual pain and bleeding heaviness. The evidence needs to be further investigated in longitudinal studies.

Factors associated with regularity and length of menstrual cycle: Korea Nurses’ Health Study

Background

Menstrual cycle characteristics are linked to reproductive function and long-term health outcomes. This study aimed to evaluate menstrual cycle patterns, characterized by regularity and length, and associated factors among women in the Korea Nurses’ Health Study.

Methods

A total of 9335 premenopausal women aged 22–45 years were included in this cross-sectional study. Regularity and length of menstrual cycles were self-reported, and their associations with reproductive, lifestyle, and occupational factors were examined using binomial and multinomial logistic regression models. Adjusted least-square means of menstrual distress, depressive symptoms, stress, fatigue, anxiety, and sleep problems were estimated according to menstrual cycle characteristics using generalized linear models.

Results

Twenty-one percent of nurses reported having irregular menstrual cycles (variability > 7 days). Ten percent, 64%, and 26% had menstrual cycle length of < 26, 26–31, and 32–50 days, respectively. Variability and length of cycles decreased with age and increased with age at menarche. Parous women showed low tendency of irregular cycles. Women with body mass index (BMI) > 25 kg/m² had higher odds of irregular (odds ratio [OR] 1.68; 95% confidence interval [CI] 1.40–2.03) and long cycles (OR 1.31; 95% CI 1.08–1.58) than those with BMI 18.5– < 23 kg/m². Irregular cycles were less common in women performing vigorous physical activity, but more common in those with prolonged standing or frequent heavy lifting at work. Frequent rotating night shift was associated with irregular cycles among nulliparous women. Levels of menstrual and premenstrual distress, depressive symptoms, perceived stress, physical and mental fatigue, anxiety, and sleep problems were higher in women with irregular cycles than in those with regular cycles (p < 0.001, each).

Conclusions

The study suggests that irregular and long menstrual cycles are associated with reproductive, lifestyle, and occupational factors; also with menstrual distress and perceived health status. Our findings contribute to a better understanding of potential risk factors for menstrual dysfunction, and thus, may help improve women’s health.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12905-022-01947-z.

Race Differences in the Associations between Menstrual Cycle Characteristics and Epithelial Ovarian Cancer

BACKGROUND

Menstrual cycle characteristics-including age at menarche and cycle length- have been associated with ovarian cancer risk in White women. However, the associations between menstrual cycle characteristics and ovarian cancer risk among Black women have been sparsely studied.

METHODS

Using the Ovarian Cancer in Women of African Ancestry (OCWAA) Consortium that includes 1,024 Black and 2,910 White women diagnosed with epithelial ovarian cancer (EOC) and 2,325 Black and 7,549 White matched controls, we investigated associations between menstrual cycle characteristics (age at menarche, age at menstrual regularity, cycle length, and ever missing three periods) and EOC risk by race and menopausal status. Multivariable logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI).

RESULTS

Black women were more likely to be <11 years at menarche than White women (controls: 9.9% vs. 6.0%). Compared with ≥15 years at menarche, <11 years was associated with increased EOC risk for White (OR = 1.25; 95% CI, 0.99-1.57) but not Black women (OR = 1.10; 95% CI, 0.80-1.55). Among White women only, the association was greater for premenopausal (OR = 2.20; 95% CI, 1.31-3.68) than postmenopausal women (OR = 1.06; 95% CI, 0.82-1.38). Irregular cycle length was inversely associated with risk for White (OR = 0.78; 95% CI, 0.62-0.99) but not Black women (OR = 1.06; 95% CI, 0.68-1.66).

CONCLUSIONS

Earlier age at menarche and cycle irregularity are associated with increased EOC risk for White but not Black women.

IMPACT

Associations between menstrual cycle characteristics and EOC risk were not uniform by race.

Self-Reported Menstrual Alterations During the COVID-19 Syndemic in Spain: A Cross-Sectional Study

Introduction

Available evidence suggests that there might be an association between the stressors experienced during the COVID-19 syndemic and changes in menstrual patterns. The aim of this study was to assess self-reported menstrual alterations during the COVID-19 syndemic among women and people who menstruate aged 18-55 in Spain.

Materials and Methods

A cross-sectional online survey-based study was conducted (March-July 2021). Descriptive statistics were calculated and multivariate logistic regression models were constructed. This study was conducted as part of the "Equity and Menstrual Health in Spain" research project.

Results

Among participants (N=17,455), 39.4% reported menstrual alterations since the start of the syndemic. Participants self-reporting long COVID-19 presented higher odds of menstrual alterations (aOR: 1.34, 95% CI, 1.15-1.57). In participants with no history of COVID-19, the risk for self-reported menstrual alterations was significantly higher based on employment situation, among participants experiencing financial issues (eg, financial issues always/many times <12 months: aOR: 1.68, 95% CI, 1.48-1.90), poorer self-perceived health (eg, poor: aOR: 2.00, 95% CI, 1.31-3.07), and those diagnosed with polycystic ovary syndrome (aOR: 1.13, 95% CI, 1.02-1.26). Among participants with a self-reported COVID-19 diagnosis, factors that significantly increased the odds for menstrual alterations were experiencing financial strains (eg, financial issues always/many times <12 months: aOR: 1.53, 95% CI, 1.09-2.14), poorer self-perceived health (eg, poor: aOR: 3.09, 95% CI, 1.01-9.52). Overall, factors that decreased the odds of reporting menstrual alterations included age >25, being a carer, not having a gynecological condition and using hormonal contraception.

Discussion and conclusions

Findings suggest an impact of the COVID-19 syndemic on menstrual patterns. Social inequities in reporting menstrual alterations were identified. While the risk of reporting menstrual alterations was higher among participants with long COVID-19, evidence is not conclusive. Further research on menstrual health in the context of COVID-19 is needed, also to inform policy and practice.

Associations between drinking water disinfection byproducts and menstrual cycle characteristics: A cross-sectional study among women attending an infertility clinic

Disinfection byproducts (DBPs) have been shown to alter ovarian steroidogenesis and cause estrous cyclicity disturbance and prolongation in experimental studies, however human studies are lacking. We aimed to evaluate the cross-sectional associations between drinking water DBPs and menstrual cycle characteristics. A total of 1078 women attending an infertility clinic in Wuhan, China were included between December 2018 and January 2020. Characteristics of menstrual cycle were collected by questionnaires. Concentrations of dichloroacetic acid (DCAA) and trichloroacetic acid (TCAA) were measured in urine as biomarkers of drinking water DBPs. Multivariate logistic and linear regression models were used to evaluate the associations between urinary DCAA and TCAA concentrations and menstrual cycle characteristics. Higher urinary DCAA concentrations were associated with increased odds ratios (ORs) of irregular menstrual cycle (OR = 1.80; 95% CI: 0.97, 3.33 for the highest vs. lowest quartile; P for trend = 0.05) and long menstrual cycle (OR = 1.62; 95% CI: 0.97, 2.70 for the highest vs. lowest quartile; P for trend = 0.06), as well as prolonged variation in cycle length (β = 1.27 days; 95% CI: -0.11, 2.66 for the highest vs. lowest quartile; P for trend = 0.04). Higher urinary TCAA concentrations were associated with prolonged bleeding duration (β = 0.23 days; 95% CI: -0.06, 0.51 for the highest vs. lowest quartile; P for trend = 0.07). These results suggest that exposure to drinking water DBPs is associated with menstrual cycle disturbances. These findings are warranted to confirm in other studies.

The impact of COVID-19-related mental health issues on menstrual cycle characteristics of female healthcare providers

Aim

To investigate the association between menstrual cycle regularity in healthcare providers and COVID‐19 pandemic‐related anxiety, depression, stress.

Methods

A cross‐sectional study was conducted by administrating online questionnaires to female healthcare workers in Turkey. Women aged 18–40 years with regular menstrual cycles for more than 1 year before the beginning of the pandemic were included in the study and they were divided into two groups according to menstrual cycle regularity during the pandemic. The questionnaires included sociodemographic characteristics, medical and reproductive history, lifestyle information of participants, COVID‐19 Stress Scales (CSS), and a short version of the Depression Anxiety Stress Scale (DASS‐21).

Results

A total of 952 women were included in the study, 679 had regular menstrual cycles, and 273 had irregular menstrual cycles. The prevalence of irregular menses among Turkish women healthcare workers aged 18–40 years was 28.7%. The CSS subdimensions and total scores were significantly higher in the irregular menstruation group than in women with regular menstruation (p < 0.001). The DASS‐21 depression, anxiety, and stress subdimensions were likewise significantly higher in women with irregular menstruation (p < 0.001). Besides, both the univariable and the multivariable logistic regression results showed the relationship between irregular menstruation and CSS total score.

Conclusion

The current study showed the association between the COVID‐19 pandemic‐induced anxiety, perceived stress, depressive symptoms, and increased prevalence of menstrual cycle irregularity among healthcare providers.

Menstrual cycle regularity and length across the reproductive lifespan and risk of premature mortality: prospective cohort study

OBJECTIVE

To evaluate whether irregular or long menstrual cycles throughout the life course are associated with all cause and cause specific premature mortality (age <70 years).

DESIGN

Prospective cohort study.

SETTING

Nurses' Health Study II (1993-2017).

PARTICIPANTS

79 505 premenopausal women without a history of cardiovascular disease, cancer, or diabetes and who reported the usual length and regularity of their menstrual cycles at ages 14-17 years, 18-22 years, and 29-46 years.

MAIN OUTCOME MEASURES

Hazard ratios and 95% confidence intervals for all cause and cause specific premature mortality (death before age 70 years) were estimated from multivariable Cox proportional hazards models.

RESULTS

During 24 years of follow-up, 1975 premature deaths were documented, including 894 from cancer and 172 from cardiovascular disease. Women who reported always having irregular menstrual cycles experienced higher mortality rates during follow-up than women who reported very regular cycles in the same age ranges. The crude mortality rate per 1000 person years of follow-up for women reporting very regular cycles and women reporting always irregular cycles were 1.05 and 1.23 for cycle characteristics at ages 14-17 years, 1.00 and 1.37 for cycle characteristics at ages 18-22 years, and 1.00 and 1.68 for cycle characteristics at ages 29-46 years. The corresponding multivariable adjusted hazard ratios for premature death during follow-up were 1.18 (95% confidence interval 1.02 to 1.37), 1.37 (1.09 to 1.73), and 1.39 (1.14 to 1.70), respectively. Similarly, women who reported that their usual cycle length was 40 days or more at ages 18-22 years and 29-46 years were more likely to die prematurely than women who reported a usual cycle length of 26-31 days in the same age ranges (1.34, 1.06 to 1.69; and 1.40, 1.17 to 1.68, respectively). These relations were strongest for deaths related to cardiovascular disease. The higher mortality associated with long and irregular menstrual cycles was slightly stronger among current smokers.

CONCLUSIONS

Irregular and long menstrual cycles in adolescence and adulthood are associated with a greater risk of premature mortality (age <70 years). This relation is slightly stronger among women who smoke.

DDT and Breast Cancer: Prospective Study of Induction Time and Susceptibility Windows

BACKGROUND

In a previous Child Health and Development Studies report, p, p'-DDT was associated with a fivefold increased risk of premenopausal (before age 50 years) breast cancer for women first exposed before puberty. Here we extend our observation to breast cancer diagnosed during early postmenopause (ages 50-54 years) to determine whether age at diagnosis modifies the interaction of DDT with age at exposure.

METHODS

We conducted a second prospective, nested case-control study in the Child Health and Development Studies (153 incident breast cancer cases diagnosed at ages 50-54 years and 432 controls matched to cases on birth year). These were analyzed separately and pooled with our previous study (129 breast cancer cases diagnosed at ages 31-49 years and 129 controls matched on birth year). Blood samples were obtained during pregnancy (median age, 26 years), 1-3 days after delivery from 1959 to 1967 in Oakland, California. Serum was assayed for p, p'-DDT, o, p'-DDT, and p, p'-DDE. Odds ratios (ORs) below are given for doubling of serum p, p'-DDT. All statistical tests were two-sided.

RESULTS

For early postmenopausal breast cancer, p, p'-DDT was associated with risk for all women (ORDDT 50-54 = 1.99, 95% CI = 1.48 to 2.67). This association was accounted for by women first exposed to DDT after infancy (ORDDT 50-54 for first exposure after infancy = 2.83, 95% CI = 1.96 to 4.10 vs ORDDT 50-54 for first exposure during infancy = 0.56, 95% CI = 0.26 to 1.19; Pinteraction DDT x age at first exposure = .01). In contrast, for premenopausal breast cancer, p, p'-DDT was associated with risk among women first exposed during infancy through puberty, but not after (ORDDT<50 for first exposure during infancy = 3.70, 95% CI = 1.22 to 11.26, Pinteraction DDT x age at first exposure x age at diagnosis = .03).

CONCLUSIONS

p, p'-DDT was associated with breast cancer through age 54 years. Risk depended on timing of first exposure and diagnosis age, suggesting susceptibility windows and an induction period beginning in early life. DDT appears to be an endocrine disruptor with responsive breast targets from in utero to menopause.

The polycystic ovary syndrome and gynecological cancer risk

This review updates the knowledge regarding the association between the polycystic ovary syndrome (PCOS) and the risk of gynecological cancer. We performed a literature review of clinical and epidemiological studies concerning PCOS and the risk of breast, endometrial and ovarian cancer after selecting information by quality of scientific methodology. It was found that evidence does not support a link between PCOS and breast cancer risk. There is an increased risk of endometrial cancer, while data concerning ovarian cancer are contradictory. Regarding PCOS and its association to cervical, fallopian tube, and vulvar cancer, the quality of evidence is heterogeneous. In conclusion, women with PCOS should be screened for endometrial cancer and more research is warranted to determine in this population the true risk of developing other gynecological cancers such as breast and ovarian.

Gestational biomarkers of daughter's breast cancer in the Child Health and Development Studies

We examined the link between gestational biomarkers and breast cancer in 9169 daughters born into the Child Health and Development Studies from 1959 to 1967. We identified 137 breast cancer cases diagnosed by age 52 as of 2012. Markers of increased risk included higher placental volume and rapid 2nd trimester gestational weight gain. Protective markers were placental hemorrhage and fibrin deposition, indicators of resistance to placental trophoblast invasion. Paradoxically, higher ponderal index at birth was protective suggesting that fetal and placental pathways to breast cancer are multiple and distinct. Results link placental and fetal phenotypes to breast cancer, characterizing some as restrictive and others as permissive markers of tumor development. We found new biomarkers of breast cancer risk that can be mined to discover 'omic correlates in the pregnancy exposome using archived and contemporary pregnancy samples. This line of investigation may discover new pathways to risk and new opportunities for prevention.

Assisted reproductive technology and risk of ovarian cancer and borderline tumors in parous women: a population-based cohort study

The study aimed to investigate if assisted reproductive technology (ART) treatment or a diagnosis of infertility were associated with the risk of ovarian cancer or borderline ovarian tumors (BOT) in parous women. In a population-based register study of 1,340,097 women with a first live birth in Sweden 1982–2012, the relationship between ART treatments, infertility and incidence of ovarian cancer or BOT were investigated using Cox regression analysis. In the cohort, 38,025 women gave birth following ART, 49,208 following an infertility diagnosis but no ART and 1,252,864 without infertility diagnosis or ART. During follow-up, 991 women were diagnosed with ovarian cancer and 747 with BOT. Women who gave birth following ART had higher incidence of both ovarian cancer (adjusted hazard ratio [aHR] 2.43, 95% confidence interval [CI] 1.73–3.42) and BOT (aHR 1.91, 95% CI 1.27–2.86), compared to women without infertility. Compared to women with infertility diagnoses and non-ART births, women with ART births also had a higher incidence of ovarian cancer (aHR 1.79, 95% CI 1.18–2.71) and BOT (aHR 1.48, 95% CI 0.90–2.44). Our results suggest that women who have gone through ART have a higher risk of ovarian cancer and BOT. At least part of that risk seems to be due to the underlying infertility and not the treatment per se, since the increased risk was smaller when comparing to other infertile women. As ART treatments are becoming more common and ovarian cancer usually occur in women of advanced age, larger studies with longer follow-up are needed in order to confirm or refute our findings.

In utero and postnatal programing of dehydroepiandrosterone sulfate (DHEAS) in young adult women

Fetal adrenal-derived OH-DHEAS is the primary precursor for maternal estriol, an abundant, human, placental estrogen. We measured maternal pregnancy estriol as a marker of fetal adrenal function + placenta capacity to synthesize estriol. We hypothesized that maternal estriol is directly correlated with the adrenal hormone, DHEAS, in young adult women. We tested this hypothesis in a subset of women in the Child Health and Development Studies (351 of 470 eligible). 176 of these had serum samples collected at ages 27-30 for DHEAS assays, archived maternal pregnancy serum for estriol assays, and childhood growth data. In regression analyses, both maternal estriol and accelerated growth in middle childhood were independently, directly associated with DHEAS (+19% for quartile 4 versus quartile 1 of estriol, 95%CI=+ 2%, +36% and +12% for quartile 4 versus quartile 1 for middle childhood growth, 95%CI= +3%, +21%). Adrenal function may be programmed in utero and middle childhood with long-term consequences.

Menstrual disorders and occupational exposures among female nurses: A nationwide cross-sectional study

BACKGROUND

The regularity of menstrual cycles is one of the important indicators of female reproductive health. However, the current evidence on the association of occupational exposures and menstrual disorders is scarce.

OBJECTIVES

This study aims to elucidate the relationship between occupational hazards and menstrual characteristics in female nurses and non-nurse health care workers in China.

DESIGN

We conducted a national cross-sectional study on the reproductive health of female nurses in China.

SETTINGS

A total of 1, 300 medical institutions in 15 provincial administrative regions in China participated in the study.

PARTICIPANTS

There were 8, 904 nurses and 3, 977 non-nurse health care workers who were selected using simple random sampling method.

METHODS

All participants were administered a face-to-face standardized questionnaire, including personal socio-demographic information, occupational activities, and self-reported menstrual characteristics. Univariate and multivariate logistic regressions were used for statistical analyses.

RESULTS

The results demonstrated that 41% of nurses experienced menstrual disorders. We found handling disinfectants was the most significant risk factor for menstrual disorders (OR = 1.53, 95% CI: 1.39-1.68), followed by abnormal workload (OR = 1.28, 95% CI: 1.19-1.39), and occupation as a nurse (OR = 1.28, 95% CI: 1.18-1.40). Noise, prolonged standing or frequent heavy lifting, night work, anti-cancer drug exposure, and overtime work were moderately associated with the occurrence of menstrual disorder (OR > 1).

CONCLUSIONS

This national-wide cross-sectional study has revealed the significant association between menstrual disorders and occupational hazards among female nurses in China.

Genetic and epigenetic characteristics in ovarian tissues from polycystic ovary syndrome patients with irregular menstruation resemble those of ovarian cancer

BACKGROUND

Irregular menstruation is clinically associated with an increased risk for ovarian cancer and disease-related mortality. This relationship remains poorly understood, and a mechanism explaining it has yet to be described.

METHODS

Ovarian tissues from women with polycystic ovary syndrome (PCOS) and regular menstruation (n = 10) or irregular menstruation (n = 10) were subjected to DNA methylation sequencing, real-time PCR array, whole-exome sequencing, and bioinformatics analysis.

RESULTS

We demonstrated that ovarian tissue from PCOS patients with irregular menstruation displayed global DNA hypomethylation, as well as hypomethylation at several functionally and oncologically significant regions. Furthermore, we showed that several cancer-related genes were aberrantly expressed in ovarian tissue from patients with irregular menstruation, and that their mRNA and microRNA profiles shared appreciable levels of coincidence with those from ovarian cancer tissue. We identified multiple point mutations in both the BRCA1 and MLH1 genes in patients with irregular menstruation, and predicted the potential pathogenicity of these mutations using bioinformatics analyses.

CONCLUSIONS

Due to the nature of ovarian cancer, it is important to broaden our understanding of the pathogenesis and risk factors of the disease. Herein, we provide the first description of a genetic and epigenetic basis for the clinical relationship between irregular menstruation and an increased risk for ovarian cancer.

Urologic conditions associated with malignancy

INTRODUCTION

Recent advances in cancer research have highlighted the role of genetics in malignancy. Genetic dysregulation of core cellular functions similarly influences benign conditions. These common genetic factors have led researchers to identify an association between certain urologic conditions and malignancy. The objective of this review is to evaluate the literature linking benign urologic conditions including male infertility, Peyronie's disease, cryptorchidism, and hypospadias, to malignancy.

METHODS

A search of PubMed was performed using the following search terms and their combinations: male infertility, female infertility, cancer, malignancy, mortality, male urologic conditions, azoospermia, Peyronie's disease, cryptorchidism, hypospadias, and genetics. Studies were assessed for quality and included or excluded based on study design and relevance to the topic of urologic conditions and malignancy.

RESULTS

A total of 52 studies were evaluated, of which 38 were included. Associations between male infertility and testicular cancer, prostate cancer, and other cancers including melanoma, bladder cancer, and thyroid cancer were examined. Several genetic alterations were found to be common in the pathogenesis of both male infertility and carcinogenesis. Associations between female infertility and breast, ovarian, and endometrial cancer are also assessed, as are the relationships between Peyronie's disease, cryptorchidism, and hypospadias and malignancy.

CONCLUSIONS

Recent work has identified associations between a number of malignancies and benign urologic conditions including male infertility, Peyronie's disease, cryptorchidism, and hypospadias. Molecular and genetic mechanisms have been proposed, but no definitive causal relationships have been identified to date. Future work will continue to better define the links between malignancy and benign urologic conditions and ultimately facilitate risk stratification, screening, and treatment of affected men.

A Large-Cohort, Longitudinal Study Determines Precancer Disease Routes across Different Cancer Types

Although many diseases are associated with cancer, the full spectrum of temporal disease correlations across cancer types has not yet been characterized. A population-wide study of longitudinal disease trajectories is needed to interrogate the general medical histories of patients with cancer. Here we performed a retrospective study covering a 20-year period, using 6.9 million patients from the Danish National Patient Registry linked to 0.7 million patients with cancer from the Danish Cancer Registry. Statistical analysis identified all significant disease associations occurring prior to cancer diagnoses. These associations were used to build frequently occurring, longitudinal disease trajectories. Across 17 cancer types, a total of 648 significant diagnoses correlated directly with a cancer, while 168 diagnosis trajectories of time-ordered steps were identified for seven cancer types. The most common diseases across cancer types involved cardiovascular, obesity, and genitourinary diseases. A comprehensive, publicly available web tool of interactive illustrations for all cancer disease associations is provided. By exploring the precancer landscape using this large dataset, we identify disease associations that can be used to derive mechanistic hypotheses for future cancer research. SIGNIFICANCE: This study offers an innovative approach to examine prediagnostic disease and cancer development in a large national population-based setting and provides a publicly available tool to foster additional cancer surveillance research.

Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium

Background: Polycystic ovary syndrome (PCOS), and one of its distinguishing characteristics, oligomenorrhea, have both been associated with ovarian cancer risk in some but not all studies. However, these associations have been rarely examined by ovarian cancer histotypes, which may explain the lack of clear associations reported in previous studies.Methods: We analyzed data from 14 case-control studies including 16,594 women with invasive ovarian cancer (n = 13,719) or borderline ovarian disease (n = 2,875) and 17,718 controls. Adjusted study-specific ORs were calculated using logistic regression and combined using random-effects meta-analysis. Pooled histotype-specific ORs were calculated using polytomous logistic regression.Results: Women reporting menstrual cycle length >35 days had decreased risk of invasive ovarian cancer compared with women reporting cycle length ≤35 days [OR = 0.70; 95% confidence interval (CI) = 0.58-0.84]. Decreased risk of invasive ovarian cancer was also observed among women who reported irregular menstrual cycles compared with women with regular cycles (OR = 0.83; 95% CI = 0.76-0.89). No significant association was observed between self-reported PCOS and invasive ovarian cancer risk (OR = 0.87; 95% CI = 0.65-1.15). There was a decreased risk of all individual invasive histotypes for women with menstrual cycle length >35 days, but no association with serous borderline tumors (Pheterogeneity = 0.006). Similarly, we observed decreased risks of most invasive histotypes among women with irregular cycles, but an increased risk of borderline serous and mucinous tumors (Pheterogeneity < 0.0001).Conclusions: Our results suggest that menstrual cycle characteristics influence ovarian cancer risk differentially based on histotype.Impact: These results highlight the importance of examining ovarian cancer risk factors associations by histologic subtype. Cancer Epidemiol Biomarkers Prev; 27(2); 174-82. ©2017 AACR.

Third Trimester Estrogens and Maternal Breast Cancer: Prospective Evidence

Context

Full-term pregnancy is associated with a transient increase and life-time decrease in maternal breast cancer risk. Estrone (E1), estradiol (E2), and estriol (E3) are in high concentration during the third trimester. E1 and E2 metabolism produces carcinogenic intermediaries, and E3 metabolism does not.

Objective

We tested the hypothesis that higher E3 in pregnancy is protective while higher E1 plus E2 increases risk.

Design

Prospective case-cohort study (n = 620; 204 cases) nested in a 38-year follow-up of 15,528 pregnant women in the Child Health and Development Studies. We measured E1, E2, and E3 in archived third trimester serum and estimated associations with breast cancer.

Setting

Northern California Kaiser members receiving obstetric care from 1959 to 1967.

Main Outcome Measure

Breast cancer diagnosed through 1997.

Results

Doubling of E1+E2 was associated with greater risk [hazard ratio (HR), 1.7; 95% confidence interval (CI), 1.2 to 2.4]. In contrast, doubling of E3 or the E3/E1+E2 ratio was associated with protection (HR, 0.7; 95% CI, 0.5 to 1.0; HR, 0.6; 95% CI, 0.4 to 0.8, respectively). Associations were stronger for diagnoses within 15 years after delivery compared with 16 to 38 years (Pinteraction = 0.0002) for gravidas >27 years at delivery vs ≤27 (Pinteraction = 0.01) and for primiparas vs multiparas (Pinteraction = 0.02).

Conclusions

Relatively high third trimester E3 levels might protect parous women from breast cancer and E1 and E2 might enhance the risk. If findings are confirmed, third trimester pregnancy estrogens could help explain how parity affects breast cancer.

Environmental influences on ovarian dysgenesis - developmental windows sensitive to chemical exposures

A woman's reproductive health and ability to have children directly affect numerous aspects of her life, from personal well-being and socioeconomic standing, to morbidity and lifespan. In turn, reproductive health depends on the development of correctly functioning ovaries, a process that starts early during fetal life. Early disruption to ovarian programming can have long-lasting consequences, potentially manifesting as disease much later in adulthood. A growing body of evidence suggests that exposure to chemicals early in life, including endocrine-disrupting chemicals, can cause a range of disorders later in life, such as those described in the ovarian dysgenesis syndrome hypothesis. In this Review, we discuss four specific time windows during which the ovary is particularly sensitive to disruption by exogenous insults: gonadal sex determination, meiotic division, follicle assembly and the first wave of follicle recruitment. To date, most evidence points towards the germ cell lineage being the most vulnerable to chemical exposure, particularly meiotic division and follicle assembly. Environmental chemicals and pharmaceuticals, such as bisphenols or mild analgesics (including paracetamol), can also affect the somatic cell lineages. This Review summarizes our current knowledge pertaining to environmental chemicals and pharmaceuticals, and their potential contributions to the development of ovarian dysgenesis syndrome. We also highlight knowledge gaps that need addressing to safeguard female reproductive health.

Major clinical research advances in gynecologic cancer in 2016: 10-year special edition

In 2016, 13 topics were selected as major research advances in gynecologic oncology. For ovarian cancer, study results supporting previous ones regarding surgical preventive strategies were reported. There were several targeted agents that showed comparable responses in phase III trials, including niraparib, cediranib, and nintedanib. On the contrary to our expectations, dose-dense weekly chemotherapy regimen failed to prove superior survival outcomes compared with conventional triweekly regimen. Single-agent non-platinum treatment to prolong platinum-free-interval in patients with recurrent, partially platinum-sensitive ovarian cancer did not improve and even worsened overall survival (OS). For cervical cancer, we reviewed robust evidences of larger-scaled population-based study and cost-effectiveness of nonavalent vaccine for expanding human papillomavirus (HPV) vaccine coverage. Standard of care treatment of locally advanced cervical cancer (LACC) was briefly reviewed. For uterine corpus cancer, new findings about appropriate surgical wait time from diagnosis to surgery were reported. Advantages of minimally invasive surgery over conventional laparotomy were reconfirmed. There were 5 new gene regions that increase the risk of developing endometrial cancer. Regarding radiation therapy, Post-Operative Radiation Therapy in Endometrial Cancer (PORTEC)-3 quality of life (QOL) data were released and higher local control rate of image-guided adaptive brachytherapy was reported in LACC. In addition, 4 general oncology topics followed: chemotherapy at the end-of-life, immunotherapy with reengineering T-cells, actualization of precision medicine, and artificial intelligence (AI) to make personalized cancer therapy real. For breast cancer, adaptively randomized trials, extending aromatase inhibitor therapy, and ribociclib and palbociclib were introduced.

Female infertility, infertility-associated diagnoses, and comorbidities: a review

PURPOSE

The purpose of the study is to evaluate existing literature for possible associations between female infertility, infertility-associated diagnoses, and the following areas of disease: psychiatric disorders, breast cancer, ovarian cancer, endometrial cancer, cardiovascular disease, and metabolic dysfunction.

METHODS

The design of the study is a literature review. The patients were women included in 26 selected studies due to a diagnosis of infertility or a reproductive disorder associated with infertility. This study has no interventions, and the main outcome measure is the association between female infertility or a related diagnosis and psychiatric disorders, breast cancer, ovarian cancer, endometrial cancer, cardiovascular disease, and metabolic dysfunction.

RESULTS

Female infertility and related reproductive disorders may have ramifications for women beyond reproductive health. An analysis of publications shows that women with infertility had higher rates of psychiatric disorders and endometrial cancer than the general population [1-10]. Data is conflicting about whether infertile women are at increased risk for breast cancer and ovarian cancer [7, 8, 10-20]. A generalized diagnosis of infertility was not clearly associated with an increased risk of cardiovascular disease or metabolic dysfunction, but women with infertility related to polycystic ovarian syndrome (PCOS) do appear more likely to develop cardiovascular disease and metabolic disorders such as diabetes than the general population [16, 21-26].

CONCLUSIONS

Female infertility and associated diagnoses have overall health implications. Beyond treatment of patients' immediate reproductive needs, healthcare professionals must be aware of the broader health impact of specific causes of infertility in order to provide accurate counseling regarding long-term risk.

Long and irregular menstrual cycles, polycystic ovary syndrome, and ovarian cancer risk in a population-based case-control study

Long and irregular menstrual cycles, a hallmark of polycystic ovary syndrome (PCOS), have been associated with higher androgen and lower sex hormone binding globulin levels and this altered hormonal environment may increase the risk of specific histologic subtypes of ovarian cancer. We investigated whether menstrual cycle characteristics and self-reported PCOS were associated with ovarian cancer risk among 2,041 women with epithelial ovarian cancer and 2,100 controls in the New England Case-Control Study (1992-2008). Menstrual cycle irregularity, menstrual cycle length, and PCOS were collected through in-person interview. Unconditional logistic regression models were used to calculate odds ratios (OR) and 95% confidence intervals (95% CIs) for ovarian cancer risk overall, and polytomous logistic regression to evaluate whether risk differed between histologic subtypes. Overall, we observed no elevation in ovarian cancer risk for women who reported periods that were never regular or for those reporting a menstrual cycle length of >35 days with ORs of 0.87 (95% CI = 0.69-1.10) and 0.83 (95% CI = 0.44-1.54), respectively. We observed no overall association between self-reported PCOS and ovarian cancer (OR = 0.97; 95% CI = 0.61-1.56). However, we observed significant differences in the association with menstrual cycle irregularity and risk of ovarian cancer subtypes (p_{heterogeneity}  = 0.03) as well as by BMI and OC use (p_interaction  < 0.01). Most notable, menstrual cycle irregularity was associated with a decreased risk of high grade serous tumors but an increased risk of serous borderline tumors among women who had never used OCs and those who were overweight. Future research in a large collaborative consortium may help clarify these associations.