Menopause and Cancers

Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms

Analyzed endometrial cancer (EC) genomes have allowed for the identification of molecular signatures, which enable the classification, and sometimes prognostication, of these cancers. Artificial intelligence algorithms have facilitated the partitioning of mutations into driver and passenger based on a variety of parameters, including gene function and frequency of mutation. Here, we undertook an evaluation of EC cancer genomes deposited on the Catalogue of Somatic Mutations in Cancers (COSMIC), with the goal to classify all mutations as either driver or passenger. Our analysis showed that approximately 2.5% of all mutations are driver and cause cellular transformation and immortalization. We also characterized nucleotide level mutation signatures, gross chromosomal re-arrangements, and gene expression profiles. We observed that endometrial cancers show distinct nucleotide substitution and chromosomal re-arrangement signatures compared to other cancers. We also identified high expression levels of the CLDN18 claudin gene, which is involved in growth, survival, metastasis and proliferation. We then used in silico protein structure analysis to examine the effect of certain previously uncharacterized driver mutations on protein structure. We found that certain mutations in CTNNB1 and TP53 increase protein stability, which may contribute to cellular transformation. While our analysis retrieved previously classified mutations and genomic alterations, which is to be expected, this study also identified new signatures. Additionally, we show that artificial intelligence algorithms can be effectively leveraged to accurately predict key drivers of cancer. This analysis will expand our understanding of ECs and improve the molecular toolbox for classification, diagnosis, or potential treatment of these cancers.

Differences of characteristics, influencing factors, and treatment effects on the survival in patients with first and second primary cervical cancer

To explore the characteristics, influencing factors, and effect of different treatments on the survival in patients with first primary cervical cancer (CC) and second primary CC. Data of 33,934 eligible patients with CC were extracted from the Surveillance, Epidemiology, and End Results (SEER) database in 2004-2015. We also included 176 patients with CC from the Affiliated Dongyang Hospital of Wenzhou Medical University. Univariate and multivariate Cox proportional hazard models were used to screen the potential influencing factors associated with the survival in patients with hazard ratios (HRs) and 95 % confidence intervals (CIs). Subgroup analyses of age, American Joint Committee on Cancer (AJCC) stages, tumor grades and histologic types were conducted to explore the association between different treatments and survival in different populations. The 5-year mortality was 43.08 % for patients with first primary CC and that was 58.13 % for patients with second primary CC. We found that the relationships between age, histologic type, tumor grade, tumor size, AJCC tumor-node-metastasis (TNM) stage, surgery, chemotherapy, radiotherapy and the first primary CC and second primary CC were different (all P < 0.05). Additionally, the results of subgroup analyses indicated that the choice of surgery, chemotherapy, and radiotherapy should be adjusted according to the different health conditions of the patients. In conclusion, the causal relationship between characteristics, influencing factors, and treatments and survival in patients with primary CC diagnosed as different time periods are needed further exploration.

Age at menopause is inversely related to the prevalence of common gynecologic cancers: a study based on NHANES

Background

The fluctuation or even loss of estrogen level caused by menopause in women, and most gynecological cancers often occur before and after menopause, so the age of menopause may be related to the occurrence of gynecological cancer.

Aim

To investigate whether the age at menopause is independently associated with the incidence of gynecological cancers and to analyze the possible influencing factors.

Methods

We selected the NHANES public database to conduct the study, and by excluding relevant influencing factors, we finally included 5706 NHANES participants who had full data on age at menopause and the occurrence of gynecologic cancers to analyze the relationship between the amount of age at menopause and gynecologic cancers based on univariate or multifactorial logistic regression analysis. Further, the relationship between age at menopause and the prevalence of different gynecologic cancers was investigated, and changes in the prevalence of different gynecologic cancers by age at menopause subgroups were observed. Finally, other relevant factors affecting the prevalence of gynecologic cancers were further investigated by subgroup analysis as well as subcluster analysis.

Results

Univariate logistic regression analysis between age at menopause and gynecologic tumor prevalence revealed a negative association between age at menopause and the prevalence of common gynecologic cancers ovarian and cervical cancer, and after adjusting for the effects of covariates, a higher risk of gynecologic tumors was found with statistically significant differences at earlier age at menopause. The regression results showed a negative association between age at menopause and gynecologic cancer prevalence in cervical and ovarian cancer patients (P<0.01,P<0.01). Cervical cancer (OR: 0.91, 95% CI: 0.87,0.94) and ovarian cancer (OR: 0.90, 95% CI: 0.86, 0.95) were more prevalent among those with younger age at menopause.

Conclusion

Age at menopause is negatively associated with the prevalence of cervical and ovarian cancers, and the earlier the age at menopause, the greater the risk of developing gynecological cancers.

Vaginal and tumor microbiomes in gynecological cancer (Review)

Cervical, ovarian and endometrial cancer are the three most common types of gynecologic cancer. As a hub, the vagina connects the site of gynecological cancer with the external environment. Lactobacilli participate in the formation of a healthy vaginal microenvironment as the first line of defense against pathogen invasion; a dysbiotic vaginal microenvironment loses its original protective function and is associated with the onset, metastasis, poor efficacy and poor prognosis of gynecological cancer. The early diagnosis of cancer is the key to improve the survival time of patients with cancer. The screening of Porphyromonas, Sneathia and Atopobium vaginae, and other microbial markers, can assist the diagnosis of gynecological cancer, and screen out the high-risk population as early as possible. With the in-depth study of the microbes in tumor tissues, reasearchers have analyzed the immunological associations of microorganisms in tumor tissues. Due to the structural-functional interconnection between the organ of gynecological tumorigenesis and the vagina, the present study aims to review the relationship between vaginal and tumor microorganisms and gynecological cancer in terms of occurrence, screening, treatment and prognosis.

Priorities for alleviating menopausal symptoms after cancer

OBJECTIVE

To determine treatment priorities in women cancer patients attending a dedicated Menopausal Symptoms After Cancer service.

METHODS

Cancer type and stage were abstracted from medical records. Women ranked up to three symptoms as treatment priorities from the list "hot flushes/night sweats," "mood changes," "vaginal dryness or soreness," "sleep disturbances," "feeling tired or worn out (fatigue)," "sexual problems and/or pain with intercourse," "joint pain," and "something else" with free-text response. For each prioritized symptom, patients completed standardized patient-reported outcome measures to determine symptom severity and impact.

RESULTS

Of 189 patients, most had breast cancer (48.7%, n = 92), followed by hematological (25.8%, n = 49), gynecological (18.0%, n = 34), or colorectal (2.6%, n = 5). The highest (first-ranked) treatment priority was vasomotor symptoms (33.9%, n = 64), followed by fatigue (18.0%, n = 34), vaginal dryness/soreness (9.5%, n = 18), and sexual problems/pain with intercourse (9.5%, n = 18). Symptoms most often selected in the top three ("prioritized") were fatigue (57.7%, n = 109), vasomotor symptoms (57.1%, n = 108), and sleep disturbance (49.2%, n = 93). In patients who prioritized vasomotor symptoms, medians on the "problem," "distress," and "interference" dimensions of the Hot Flash Related Daily Interference Scale were, respectively, 6.0 (interquartile range [IQR], 5.0-8.0), 5.5 (IQR, 3.0-8.0), and 5.0 (IQR, 3.-7.0), indicating moderate severity. In patients who prioritized fatigue, the median Fatigue Scale score was 28 (IQR, 19-36), 37% worse than general population.

CONCLUSIONS

Vasomotor symptoms, fatigue, sexual problems, and vaginal dryness/soreness were the leading priorities for treatment. Understanding symptom severity and patient priorities will inform better care for this growing population.

Impact of Menopause in Patients with Multiple Sclerosis: Current Perspectives

Given the aging population, with a peak age-specific prevalence that is shifting beyond the age of 50, several women currently living with MS are very close to menopause. Menopause is usually characterized by several specific symptoms with adverse impacts on different aspects of a woman's quality of life, such as fatigue, and cognitive, mood and bladder disorders, which overlap with symptoms of MS. Generally, after this biological transition, women with MS appear to be subject to less inflammatory activity. However, several studies have reported an increase of disability accumulation after menopause, suggesting that it is a turning point to a more progressive phase of the disease. This may be attributable to the hormonal and immunological changes associated with menopause, with several effects on neuroinflammation and neurodegeneration increasing due to the immunosenescence of aging. This review summarizes the hormonal and immunological changes associated with menopause, detailing the effects on MS symptoms, outcomes, and the aging process. Furthermore, possible interventions to improve patients' quality of life are evaluated. In fact, it is increasingly necessary to improve the global management of MS women, as well as their lives, at this multifaceted turning point.

The impact of ageing and menopause in women with polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a common hormonal, metabolic and reproductive disorder. Women with PCOS at reproductive age have increased risk and prevalence of prediabetes and diabetes and have multiple risk factors for cardiometabolic disease and other comorbidities such as obstructive sleep apnoea, endometrial cancer and mood disorders, which contribute to the overall health burden of the syndrome. However, little is known about the impact of PCOS on long-term health in ageing women. In this review, we aimed to give an updated overview regarding the long-term health outcomes of PCOS and their clinical implications in peri- and postmenopause. The PCOS phenotype ameliorates with ageing and limited available data suggest that there is no further deterioration in cardiometabolic profile in women with PCOS after menopause. Accordingly, the risk of cardiovascular disease in ageing women with PCOS seems to be no different from those without PCOS and lower than previously anticipated based on their risk during reproductive years. Regarding other comorbidities including sleep apnoea, mood disorders and endometrial cancer, it is difficult to determine the true risk in older women with PCOS due to the confounding factors and lack of long-term cohort studies. Large, prospective studies on community-based and well-phenotyped PCOS cohorts with extended follow-up into late menopause are needed to confirm these findings.

Cancer Susceptibility as a Cost of Reproduction and Contributor to Life History Evolution

Reproduction is one of the most energetically demanding life-history stages. As a result, breeding individuals often experience trade-offs, where energy is diverted away from maintenance (cell repair, immune function) toward reproduction. While it is increasingly acknowledged that oncogenic processes are omnipresent, evolving and opportunistic entities in the bodies of metazoans, the associations among reproductive activities, energy expenditure, and the dynamics of malignant cells have rarely been studied. Here, we review the diverse ways in which age-specific reproductive performance (e.g., reproductive aging patterns) and cancer risks throughout the life course may be linked via trade-offs or other mechanisms, as well as discuss situations where trade-offs may not exist. We argue that the interactions between host–oncogenic processes should play a significant role in life-history theory, and suggest some avenues for future research.

Survival analysis of second primary malignancies after cervical cancer using a competing risk model: implications for prevention and surveillance

Background

Previous studies have reported an increased risk for second primary malignancies (SPMs) after cervical cancer (CC). This study aims to quantify and assess the risk of developing SPMs in long-term survivors of CC.

Methods

A population-based cohort of CC patients aged 20–79 years was obtained from the Surveillance, Epidemiology, and End Results (SEER) database. A competing risk model and corresponding nomogram were constructed to predict the 3-, 5-, and 10-year cumulative risks of SPMs. A Fine-Gray plot was created to validate the model. Finally, we performed decision curve analysis (DCA) to evaluate the clinical usefulness of the model by calculating the net benefit.

Results

A total of 34,295 patients were identified, and approximately 6.3% of the study participants developed SPMs. According to the multivariable competing-risk model, older black CC survivors with localized disease who were treated with radiation therapy were more susceptible to SPMs. The 3-, 5-, and 10-year cumulative incidences of SPMs were 2.5%, 3.6%, and 6.2%, respectively. Calibration curves showed good agreement between the predicted and observed models. The DCA yielded a wide range of risk thresholds at which the net benefits could be obtained from our proposed model.

Conclusions

This study provides physicians with a practical, individualized prognostic estimate to assess the risk of SPMs among CC survivors. CC survivors remain at a high risk of developing SPMs, and further surveillance should focus especially on the patients with black race, older age, localized disease, or those having received radiation therapy.