Lack of evidence that progesterone in ovulatory cycles causes breast cancer

A recent Perspective article asserted that progesterone secretion during ovulatory cycles is the cause of breast cancer. However, we challenge most of the evidence developed in this publication. First, there is a lack of evidence that progesterone is mutagenic for breast cells. Cause of a cancer should mean initiation by mutation, as opposed to promotion. Second, subclinical ovulatory disturbances occur rather frequently in normal-length menstrual cycles. Third, the authors attribute a potential carcinogenic effect to progesterone secreted during menstrual cycles but not to progesterone during pregnancy. They did not discuss breast cancer evidence from progesterone/progestin therapeutics. They argue that in genetic primary amenorrhea, a hypothetic lower risk of breast cancer could be due to the lack of progesterone, despite the progesterone/progestin in hormone replacements these women receive. Fourth, they advocate a regulatory effect of progesterone on several genes potentially involved in cancer genesis. In particular, they attribute a lower risk of breast cancer in women with Mayer-Rokitansky-Küster-Hauser syndrome to a defect in the progesterone-stimulated Wnt4 gene. However, this defect is only present in a small subset. Thus, the postulated progesterone breast cancer risk is unconvincing, which we discuss point by point in this commentary.

P-637 Evaluation of a digitally integrated ovulation prediction kit with proof of ovulation – a pilot study

Study question

Is a digital ovulation prediction kit (OPK) with integrated progesterone measurements a useful tool in predicting and proving ovulation?

Summary answer

The digitally integrated OPK with progesterone integration may be a helpful tool for couples to identify the woman’s fertile window and detect anovulation.

What is known already

Apart from detecting the coming fertile window (i.e. the period of the highest probability of conception during the menstrual cycle, including the 5 days previous to and the day of ovulation itself), knowledge whether the likely ovulation indeed occurs, is crucial for achieving pregnancy. As women’s hormone profiles show intra- and interindividual variations, an individual prediction of the fertile window is a promising approach for couples, particularly in early premature ovarian insufficiency and perimenopause. Information whether the presumed ovulation has actually happened is not provided by most cycle apps.

Study design, size, duration

Healthy women, aged 21 to 44 years, who had not been taking hormonal contraceptives for at least three months were recruited via social media, paper postings and hand-outs. Women with infertility for more than 24 months were excluded. Up to three cycles were measured in every woman in case of a lacking pregnancy.

Participants/materials, setting, methods

Luteinizing hormone (LH) and Follicle-stimulating hormone (FSH) in first morning urine were gaged via lateral flow immunoassay test strips (LFIA) (RunBio Biotechnology Ltd.). Three algorithms of the smartphone application Pearl Fertility (iOS 1.0.3-1.0.5, Colorimetrix GmbH) were applied to predict the day of ovulation. Photographic visual control of the LH test strips, vaginal ultrasound close to the predicted ovulation and progesterone (PdG LFIA) were used to confirm ovulation, human chorionic gonadotropin (HCG LIFA) to confirm pregnancy.

Main results and the role of chance

36 cycles of 19 women recruited for this pilot study were started. 6 participants dropped out or were excluded, leaving 25 evaluable cycles in 13 healthy women, average age 37 years (range 30 to 44), who had not been taking hormonal contraceptives for at least three months. 76 % of the analysable cycles had corresponding prediction of ovulation by algorithm and by visual control of the measured maximum value of LH (OVV). OVV corresponded with the day of ovulation determined retrospectively by length of luteal phase in 75 % (Bland-Altman plot (acceptable deviation Δ≤|2| days)). Prediction of ovulation differed by 2.12±3.13 days (mean±SD) between OVV and prospective cycle-length-based data (Wilcoxon signed-rank test (p < 0,05)). The PdG LIFA suggested ovulation in 84 % of the cycles with presumed ovulation by postovulatory PdG measurement. 6 of the participating women got pregnant during the study. Analysis of cumulative rate of pregnancy with 95 % confidence interval resulted in 25±21 %, 40±19 % and 40±17 % within the first, second and third cycle.

Limitations, reasons for caution

In order to make valid statements about the benefit of digitally integrated OPKs, further research with a larger population is needed. Perimenopausal women and patients with irregular cycles may specifically benefit from individual self-monitoring.

Wider implications of the findings

The knowledge of the fertile window is expected to help fertile couples to achieve pregnancy and proof of ovulation or anovulation may detect infertility due to anovulation sooner, thereby reducing the interval until diagnosis and treatment.

Trial registration number

'not applicable'

Integrated morphologic and molecular analysis of Trichomonas vaginalis, Mycoplasma hominis, and human papillomavirus using cytologic smear preparations

Pathogenic microbes may colonize the female genital tract via sexual transmission and cause health issues like inflammation or malignancy, summarized as sexually transmitted disease (STD). A major representative of such pathogens is Trichomonas vaginalis (T.v.), whose role in the etiology of cervical cancer remains elusive. Traditional morphologic screening of cervical smears is able to detect T.v., although its identification may be complicated by look-alikes such as degenerated granulocytes and basal cells. In addition, the parasite's endosymbiont Mycoplasma hominis (M.h.) cannot be detected in the Pap test. This investigation was aimed at designing a PCR-based method to detect specific pathogenic germs by using cervical cytology slides to overcome morphologic uncertainty and increase diagnostic accuracy. To test our molecular screening method on T.v., M.h., and HPV in archival smears, we elaborated a multiplex PCR approach based on microdissection. This assay was applied to a minute quantity of starting material which harbored or was suspected to harbor T.v.; the resulting isolated DNA was used for subsequent molecular analyses of T.v., M.h., and HPV. We clarified the diagnosis of genital T.v. infection in 88 and 1.8% of morphologically suspicious and T.v.-negative cases, respectively. We also revealed a tendency of M.h. co-infection in high-risk HPV cases. In conclusion, a microdissection-based approach to detect pathogenic microbes such as T.v., HPV, and M.h. is a molecular tool easy to implement and may help to better understand the interactivity of these germs with respect to pathogenesis.

Hormonal Smartphone Diagnostics

Mobile point-of-care diagnostics are paramount for the provision of healthcare. Hormonal diagnostics are powerful tools to monitor timely changes in human physiology. Hormone concentrations in serum directly correlate with urine excretions with minor time delays. Therefore, rapid tests for hormones in urine have been widely used for decades as means of early diagnostics, particularly in lateral flow immunoassay formats. However, the challenge of reading and interpreting these binary tests remains. Here we present a method for utilizing mobile technologies to quantitatively read and interpret hormonal test strips. The method demonstrates the detection of a urinary by-product of progesterone, pregnanediol glucuronide (PdG), and its relation to ovulation and the fertility cycle.

C-Peptide, Baseline and Postprandial Insulin Resistance after a Carbohydrate-Rich Test Meal - Evidence for an Increased Insulin Clearance in PCOS Patients?

Introduction Known characteristics of patients with PCOS include infertility, menstrual disorders, hirsutism and also often insulin resistance. These symptoms increase with increasing body weight. In the LIPCOS study (Lifestyle Intervention for Patients with Polycystic Ovary Syndrome [PCOS]) long-term changes of the PCOS in dependence on pregnancy and parenthood were systematically assessed. In the framework of the LIPCOS study, PCOS patients were given a standardised carbohydrate-rich test meal in order to examine glucose homeostasis and insulin secretion. The results were compared with those of a eumenorrhoeic control group who all had corresponding BMI values and corresponding ages. Methods and Patients 41 PCOS patients (without diabetes) and 68 controls received a standardised carbohydrate-rich test meal (260 kcal, 62 % carbohydrates, 32 % fat, 6 % proteins) in order to generate a submaximal insulin and glucose stimulation. The values were determined at baseline and postprandial after 60, 120 and 180 minutes. In addition, the corresponding C-peptide levels were recorded. Results In the PCOS patients (n = 41), the insulin secretion test after a standardised test meal showed almost identical baseline and postprandial insulin levels when compared with those of the age- and BMI-matched eumenorrhoeic controls (n = 68). In the PCOS patients, the baseline and postprandial glucose levels were significantly elevated (92.88 ± 10.28 [PCOS] vs. 85.07 ± 9.42 mg/dL [controls]; p < 0.001) so was C-peptide (p < 0.025). Conclusions In the present study we have shown for the first time that, after consumption of a standardised test meal, PCOS patients formally exhibit a higher fasting insulin resistance than controls. In spite of the higher stimulated C-peptide levels, the insulin levels did not increase more strongly with increasing glucose levels than in controls which may be indicative of a higher insulin clearance in PCOS patients.

Premenopausal Trabecular Bone Loss is Associated with a Family History of Fragility Fracture

INTRODUCTION

Although a fragility fracture family history (FFFH+) has repeatedly been shown to be associated with lower bone mineral density (BMD), its relationship to human BMD change is unclear. Animal research, however, documented that different purebred strains within rodent species have wide ranges in rates of bone acquisition during growth as well as in change post-ovariectomy. Our objective was to compare the rate of premenopausal spinal trabecular BMD change between women with and without a general family history of fragility fracture.

PARTICIPANTS AND METHODS

Healthy premenopausal community women participated in prospective observational studies at two academic medical research centres: Vancouver, Canada (n = 66) and Munich, Germany (n = 20). The primary outcome was annual spinal BMD change, measured by quantitative computed tomography (QCT). The two studies employed similar methodologies for assessing QCT and FFFH.

RESULTS

Volunteer community participants had a mean age of 36.0 (SD, 6.9) years, body mass index 22.5 (2.4) and baseline QCT of 150.2 (22.5) mg/cm³ trabecular bone. The rates of BMD change were similar in both cities: - 3.5 (5.1)/year Vancouver, - 2.0 (3.4)/year Munich (95 % CI of difference: - 3.9, 0.9). Over a third of the women (31 of the 86, 36 %) reported FFFH+. Those with and without a FFFH were similar in demographics, nutrition, exercise, menstrual cycle and luteal phase lengths and physiological measures (serum calcium, osteocalcin and estradiol). However, women with FFFH+ lost trabecular BMD more rapidly: FFFH+, - 4.9 (5.0), FFFH-, - 2.2 (4.4) mg/cm³/year (95 % CI diff - 0.7 to - 4.8, F_1.83 = 7.88, p = 0.006). FFFH+ explained 7.7 % of the variance in QCT volumetric trabecular spinal bone change/year in these healthy premenopausal women.

CONCLUSION

This study shows for the first time that having a history of a fragility fracture in a family member is associated with a greater rate of premenopausal spinal trabecular bone loss.

Breast cancer after hormone replacement therapy--does prognosis differ in perimenopausal and postmenopausal women?

Hormone replacement therapy (HRT) has been associated with higher incidence of breast cancer in postmenopausal women, but it is unclear if breast cancers developing after HRT use have different prognosis. 1053 women with hormone receptor positive non-metastasized breast cancer were analyzed in a retrospective trial, stratifying by HRT use before diagnosis. Postmenopausal HRT users had significantly more early tumor stages (p<0.001). HRT in postmenopausal patients was associated with longer time to progression (TTP) (HR 0.81, 95%CI 0.55-1.19, p=0.28) and overall survival (OS) (HR 0.68, 95%CI 0.45-1.02, p=0.059). Perimenopausal HRT users showed shorter TTP and OS (HR 1.99, 95%CI 0.57-6.91, p=0.28 and HR 4.59, 95%CI 0.91-23.25, p=0.06 respectively). Higher BMI was significantly associated with poorer prognosis in perimenopausal women only (TTP: HR=1.16; OS: HR=1.31). In this retrospective analysis postmenopausal HRT users seemed to have a better breast cancer prognosis. For perimenopausal HRT users however, a trend towards worse prognosis was found.