Ovarian Cancer Risk Factor Associations by Primary Anatomic Site: The Ovarian Cancer Cohort Consortium

Exploring vimentin expression and its protein interactors across diverse cancer types via the cancer genome atlas datasets: a comprehensive analysis

Background

The global burden of cancer is escalating, with millions of individuals diagnosed and succumbing to the disease each year. Early detection is crucial for improving patient outcomes, yet many cancers are identified at advanced stages. Vimentin (VIM) has emerged as a promising biomarker with significant diagnostic and prognostic potential.

Materials and methods

This study investigates VIM expression and promoter methylation across various cancers using The Cancer Genome Atlas (TCGA) datasets. Additionally, we analyze protein-protein interactions and mutation frequencies using advanced bioinformatics tools.

Results

Our findings reveal that VIM is overexpressed in seven cancer types, including cholangiocarcinoma, glioblastoma multiforme, and breast invasive carcinoma. Notably, VIM expression is correlated with promoter methylation in specific cancers. Furthermore, we identify complex protein interactions involving VIM, highlighting its role in critical cellular processes such as proliferation and apoptosis.

Conclusion

These insights emphasize Vimentin's multifaceted role in cancer, suggesting its potential as both a therapeutic target and a diagnostic marker.

Body fatness across the adult life course and ovarian cancer risk

Excess body fatness in late adulthood has been observed to increase ovarian cancer risk, but the association is relatively weak. Body fatness can change over time, and timing may differently influence risk. We used a life course epidemiology approach to identify whether the relation between body fatness and ovarian cancer risk is best described by a critical period, accumulation or sensitive period hypothesis. In a population-based case-control study of ovarian cancer in Montreal, Canada (2011-16), data on body mass index (BMI) at each decade starting at age 20 was available. Among 363 cases and 707 controls aged ≥ 50 years, we used a Bayesian relevant life course exposure model to estimate the relative importance of BMI for three pre-specified periods across the adult life course, i.e., early childbearing years, late childbearing years, and peri/postmenopause, on ovarian cancer risk. The accumulation hypothesis best described BMI in relation to ovarian cancer overall, with an odds ratio (OR) for the lifetime effect of BMI (per 5 kg/m2 increase) of 1.10 (95% credible interval [CrI]: 0.90-1.35). For invasive ovarian cancer, the OR (95% CrI) for the lifetime effect was 1.16 (0.92-1.48), with BMI during early childbearing years showing the highest relative importance, suggesting this may be a sensitive period. For borderline cancer, the lifetime effect OR was not strongly supportive of an association (OR: 0.90, 95% CrI: 0.53-1.32). The results suggest that a sensitive period of early childbearing years is a candidate hypothesis for further investigation.

Predicted 25-hydroxyvitamin D over the adult lifetime and the risk of ovarian cancer

The evidence from previous studies of serum 25-hydroxyvitamin D (25(OH)D) and ovarian cancer risk is not conclusive. However, the 25(OH)D levels were generally only measured in late adulthood, which may not capture the etiologically relevant exposure periods. We investigated predicted 25(OH)D over the adult lifetime in relation to ovarian cancer risk in a population-based case-control study conducted from 2011 to 2016 in Montreal, Canada (n = 490 cases and 896 controls). Predicted 25(OH)D was computed using previously validated regression models. Unconditional multivariable logistic regression models were used to estimate adjusted odds ratios (aORs) and 95% CIs for average predicted 25(OH)D over the adult lifetime and ovarian cancer risk. In addition, the relative importance of different periods of past 25(OH)D exposure was explored using a weighted cumulative exposure (WCE) model. For each 20-nmol/L increase in average predicted 25(OH)D over the adult lifetime, the aOR (95% CI) was 0.73 (0.55-0.96). In WCE analyses, the inverse association was strongest for exposures 5 to 20 years and 35 to 55 years prior to diagnosis, with aORs (95% CIs) of 0.82 (0.69-0.94) and 0.79 (0.66-1.02), respectively, for each 20-nmol/L increase in predicted 25(OH)D. These results support an inverse association between 25(OH)D levels in adulthood and ovarian cancer risk. This article is part of a Special Collection on Gynecological Cancers.

Differences in cancer presentation, treatment, and mortality between rural and urban patients diagnosed with kidney cancer in the United States

INTRODUCTION

Rural-urban discrepancies in care and outcomes for kidney cancer (KCa) in the United States remains poorly understood. Our study aims to improve our understanding of the influence of rurality on KCa outcomes in the United States by analyzing differences in presentation, treatment, and mortality between urban areas (UAs) and rural areas (RAs) in the Surveillance, Epidemiology, and End Results (SEERs) database.

METHODS

SEERs data was queried from 2000 to 2019 for KCa patients. Patient counties were classified as UAs, rural adjacent areas (RAAs), or rural nonadjacent areas (RNAs) using Rural Urban Continuum Codes. Demographic, tumor characteristics, and treatment variables were compared. Propensity score matching was performed to create matched UA-RAA and UA-RNA cohorts. Multivariate regression evaluated rural-urban status as a predictor of treatment selection. Multivariate cox regression assessed the predictive value of rural-urban status for overall survival (OS) and cancer-specific survival (CSS). Kaplan-Meier analysis was used to generate survival curves for OS and CSS.

RESULTS

179,509 KCa patients were identified (UA = 87.0%, RAA = 7.7%, RNA = 5.3%). Patients in RAs were more likely to present with tumors of higher grade and stage than UAs. Following multivariate analysis, rural residency predicted undergoing nephrectomy (RAA: OR = 1.177, RNA: OR = 1.210) but was a negative predictor of receiving partial nephrectomy (RAA: OR = 0.744, RNA: OR = 0.717), all P < 0.001. Multivariate cox regression demonstrated that RAA or RNA residency was predictive of overall and cause-specific mortality. After matching, median OS was 151, 124, and 118 months for UA, RAA, and RNA cohorts respectively; mean CSS was 152, 147, and 144 months for UA, RAA, and RNA cohorts, respectively, all P < 0.001. Stage-specific analysis of CSS demonstrated significantly poorer CSS among RNA patients for localized, regionalized, and distant KCa after matching. Only RAA patients with localized KCa experienced significantly lower CSS than UA patients.

CONCLUSIONS

Patients in RAs are more likely to present with advanced KCa at diagnosis compared to those in UAs and may also experience different treatment options including a lesser likelihood of undergoing partial nephrectomy. Rural patients with KCa also demonstrated significantly worse OS and CSS compared to their urban counterparts. Further patient-level studies are required to better understand the discrepancy in CSS between urban and rural patients diagnosed with KCa.

Menopausal hormone therapy use and risk of ovarian cancer by race: the ovarian cancer in women of African ancestry consortium

BACKGROUND

Most studies examining post-menopausal menopausal hormone therapy (MHT) use and ovarian cancer risk have focused on White women and few have included Black women.

METHODS

We evaluated MHT use and ovarian cancer risk in Black (n = 800 cases, 1783 controls) and White women (n = 2710 cases, 8556 controls), using data from the Ovarian Cancer in Women of African Ancestry consortium. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association of MHT use with ovarian cancer risk, examining histotype, MHT type and duration of use.

RESULTS

Long-term MHT use, ≥10 years, was associated with an increased ovarian cancer risk for White women (OR = 1.38, 95%CI: 1.22-1.57) and the association was consistent for Black women (OR = 1.20, 95%CI: 0.81-1.78, pinteraction = 0.4). For White women, the associations between long-term unopposed estrogen or estrogen plus progesterone use and ovarian cancer risk were similar; the increased risk associated with long-term MHT use was confined to high-grade serous and endometroid tumors. Based on smaller numbers for Black women, the increased ovarian cancer risk associated with long-term MHT use was apparent for unopposed estrogen use and was predominately confined to other epithelial histotypes.

CONCLUSION

The association between long-term MHT use and ovarian cancer risk was consistent for Black and White women.

Prevention of Epithelial Ovarian Cancer

Given the challenges with achieving effective and durable treatment for epithelial ovarian cancer, primary prevention is highly desirable. Fortunately, decades of research have provided evidence for several strategies that can be deployed to optimize risk reduction. These include surgery, chemoprevention, and lifestyle factor modifications. These broad categories vary in terms of the magnitude of risk reduction possible, the possible short-term and long-term side effects, the degree of difficulty, and acceptability. Thus, the concept of a risk-based model to personalize preventive interventions is advocated to guide discussion between care providers and women at risk. For women with inherited major gene mutations that greatly increase risk of ovarian cancer, surgical approaches have favorable risk to benefit ratios. Chemoprevention and lifestyle factor modifications portend a lower degree of risk reduction but confer lower risk of undesirable side effects. Since complete prevention is not currently possible, better methods for early detection remain a high priority.

Obesity and gynecological cancers: A toxic relationship

Despite the evidence supporting the relevance of obesity and obesity‐associated disorders in the development, management, and prognosis of various cancers, obesity rates continue to increase worldwide. Growing evidence supports the involvement of obesity in the development of gynecologic malignancies. This article explores the molecular basis governing the alteration of hallmarks of cancer in the development of obesity‐related gynecologic malignancies encompassing cervical, endometrial, and ovarian cancers. We highlight specific examples of how development, management, and prognosis are affected for each cancer, incorporate current knowledge on complementary approaches including lifestyle interventions to improve patient outcomes, and highlight how new technologies are helping us better understand the biology underlying this neglected pandemic.

This review focuses on how obesity impacts cancer hallmarks in gynecologic malignancies, thus affecting the diagnosis, management, treatment, and prognosis of these diseases.