Association of Ovarian Tumor β2-Adrenergic Receptor Status with Ovarian Cancer Risk Factors and Survival

Expression of β1- and β2-adrenergic receptors in oral squamous cell carcinoma and their association with psychological and clinical factors

BACKGROUND

Psychological stressors have been related to tumor progression through the activation of beta-adrenergic receptors (β-AR) in several types of cancer.

PURPOSE

This study aimed to investigate the expressions of β1- and β2-AR and their association with psychological and clinicopathological variables in patients with oral squamous cell carcinoma.

METHODS

Tumor samples from 99 patients diagnosed with OSCC were subjected to immunohistochemical reaction to detect the expression of β1-AR and β2-AR. Anxiety and depression symptoms were assessed using the Beck Anxiety Inventory and Beck Depression Inventory (BDI), respectively. The Brunel Mood Scale was used for measuring affective mood states.

RESULTS

Univariate analyzes revealed that higher expression of β1-AR was associated with increased alcohol consumption (p = 0.032), higher education (p = 0.042), worse sleep quality (p = 0.044) and increased levels of pain related to the primary tumor (p < 0.001). Higher expression of β2-AR was related with regional metastasis (p = 0.014), increased levels of pain related to the primary tumor (p = 0.044), anxiety (p < 0.001) and depressive (p = 0.010) symptoms and higher mood scores of angry (p = 0.010) and fatigue (p = 0.010). Multivariate analysis identified that patients with advanced clinical stage had lower β1-AR expression (OR=0.145, 95% CI=0.025-0.828, p = 0.003). Higher anxiety symptoms and higher mood fatigue are independent factors for increased β2-AR expression (OR=4256, 95% CI=1439-12606, p = 0.009; OR=3816, 95% CI=1258-11,573, p = 0.018, respectively).

CONCLUSION

This study reveal that anxiety, fatigue symptoms, and clinical staging are associated with tumor expression of beta-adrenergic receptors in patients with oral cancer.

The relationship of lifetime history of depression on the ovarian tumor immune microenvironment

BACKGROUND

Depression is associated with a higher ovarian cancer risk. Prior work suggests that depression can lead to systemic immune suppression, which could potentially alter the anti-tumor immune response.

METHODS

We evaluated the association of pre-diagnosis depression with features of the anti-tumor immune response, including T and B cells and immunoglobulins, among women with ovarian tumor tissue collected in three studies, the Nurses' Health Study (NHS; n = 237), NHSII (n = 137) and New England Case-Control Study (NECC; n = 215). Women reporting depressive symptoms above a clinically relevant cut-point, antidepressant use, or physician diagnosis of depression at any time prior to diagnosis of ovarian cancer were considered to have pre-diagnosis depression. Multiplex immunofluorescence was performed on tumor tissue microarrays to measure immune cell infiltration. In pooled analyses, we estimated odds ratios (OR) and 95% confidence intervals (CI) for the positivity of tumor immune cells using a beta-binomial model comparing those with and without depression. We used Bonferroni corrections to adjust for multiple comparisons.

RESULTS

We observed no statistically significant association between depression status and any immune markers at the Bonferroni corrected p-value of 0.0045; however, several immune markers were significant at a nominal p-value of 0.05. Specifically, there were increased odds of having recently activated cytotoxic (CD3+CD8+CD69+) and exhausted-like T cells (CD3+Lag3+) in tumors of women with vs. without depression (OR = 1.36, 95 %CI = 1.09-1.69 and OR = 1.24, 95 %CI = 1.01-1.53, respectively). Associations were comparable when considering high grade serous tumors only (comparable ORs = 1.33, 95 %CI = 1.05-1.69 and OR = 1.25, 95 %CI = 0.99-1.58, respectively). There were decreased odds of having tumor infiltrating plasma cells (CD138+) in women with vs. without depression (OR = 0.54, 95 %CI = 0.33-0.90), which was similar among high grade serous carcinomas, although not statistically significant. Depression was also related to decreased odds of having naïve and memory B cells (CD20+: OR = 0.54, 95 %CI = 0.30-0.98) and increased odds of IgG (OR = 1.22, 95 %CI = 0.97-1.53) in high grade serous carcinomas.

CONCLUSION

Our results provide suggestive evidence that depression may influence ovarian cancer outcomes through changes in the tumor immune microenvironment, including increasing T cell activation and exhaustion and reducing antibody-producing B cells. Further studies with clinical measures of depression and larger samples are needed to confirm these results.

Metabolic pathways of potential miRNA biomarkers derived from liquid biopsy in epithelial ovarian cancer

Epithelial ovarian cancer (EOC) is the type of OC with the highest mortality rate. Due to the asymptomatic nature of the disease and few available diagnostic tests, it is mostly diagnosed at the advanced stage. Therefore, the present study aimed to discover predictive and/or early diagnostic novel circulating microRNAs (miRNAs or miRs) for EOC. Firstly, microarray analysis of miRNA expression levels was performed on 32 samples of female individuals: Eight plasma samples from patients with pathologically confirmed EOC (mean age, 45 (30-54) years), eight plasma samples from matched healthy individuals (HIs) (mean age, 44 (30-65) years), eight EOC tissue samples (mean age, 45 (30-54) years) and eight benign ovarian (mean age, 35 (17-70) years) neoplastic tissue samples A total of 31 significantly dysregulated miRNAs in serum and three miRNAs in tissue were identified by microarray. The results were validated using reverse transcription-quantitative PCR on samples from 10 patients with pathologically confirmed EOC (mean age, 47(30-54) years), 10 matched His (mean age, 40(26-65) years], 10 EOC tissue samples (mean age, 47(30-54) years) and 10 benign ovarian neoplastic tissue samples (mean age, 40(17-70) years). The 'Kyoto Encyclopedia of Genes and Genomes' (KEGG) database was used for target gene and pathway analysis. A total of three miRNAs from EOC serum (hsa-miR-1909-5p, hsa-miR-885-5p and hsa-let-7d-3p) and one microRNA from tissue samples (hsa-miR-200c-3p) were validated as significant to distinguish patients with EOC from HIs. KEGG pathway enrichment analysis showed seven significant pathways, which included 'prion diseases', 'proteoglycans in cancer', 'oxytocin signaling pathway', 'hippo signaling pathway', 'adrenergic signaling in cardiomyocytes', 'oocyte meiosis' and 'thyroid hormone signaling pathway', in which the validated miRNAs served a role. This supports the hypothesis that four validated miRNAs, have the potential to be a biomarker of EOC diagnosis and target for treatment.

Genomic Interplay between Neoneurogenesis and Neoangiogenesis in Carcinogenesis: Therapeutic Interventions

Angiogenesis, the generation of new blood vessels, is one of the hallmarks of cancer. The growing tumor requires nutrients and oxygen. Recent evidence has shown that tumors release signals to attract new nerve fibers and stimulate the growth of new nerve fibers. Neurogenesis, neural extension, and axonogenesis assist in the migration of cancer cells. Cancer cells can use both blood vessels and nerve fibers as routes for cells to move along. In this way, neurogenesis and angiogenesis both contribute to cancer metastasis. As a result, tumor-induced neurogenesis joins angiogenesis and immunosuppression as aberrant processes that are exacerbated within the tumor microenvironment. The relationship between these processes contributes to cancer development and progression. The interplay between these systems is brought about by cytokines, neurotransmitters, and neuromodulators, which activate signaling pathways that are common to angiogenesis and the nervous tissue. These include the AKT signaling pathways, the MAPK pathway, and the Ras signaling pathway. These processes also both require the remodeling of tissues. The interplay of these processes in cancer provides the opportunity to develop novel therapies that can be used to target these processes.

Neuroepithelial Interactions in Cancer

Nerves not only regulate the homeostasis and energetic metabolism of normal epithelial cells but also are critical for cancer, as cancer recapitulates the biology of neural regulation of epithelial tissues. Cancer cells rarely develop in denervated organs, and denervation affects tumorigenesis, in vivo and in humans. Axonogenesis occurs to supply the new malignant epithelial growth with nerves. Neurogenesis happens later, first in ganglia around organs or the spinal column and subsequently through recruitment of neuroblasts from the central nervous system. The hallmark of this stage is regulation of homeostasis and energetic metabolism. Perineural invasion is the most efficient interaction between cancer cells and nerves. The hallmark of this stage is increased proliferation and decreased apoptosis. Finally, carcinoma cells transdifferentiate into a neuronal profile in search of neural independence. The latter is the last stage in neuroepithelial interactions. Treatments for cancer must address the biology of neural regulation of cancer.

Predictors of residual disease after debulking surgery in advanced stage ovarian cancer

Objective

Optimal debulking with no macroscopic residual disease strongly predicts ovarian cancer survival. The ability to predict likelihood of optimal debulking, which may be partially dependent on tumor biology, could inform clinical decision-making regarding use of neoadjuvant chemotherapy. Thus, we developed a prediction model including epidemiological factors and tumor markers of residual disease after primary debulking surgery.

Methods

Univariate analyses examined associations of 11 pre-diagnosis epidemiologic factors (n=593) and 24 tumor markers (n=204) with debulking status among incident, high-stage, epithelial ovarian cancer cases from the Nurses' Health Studies and New England Case Control study. We used Bayesian model averaging (BMA) to develop prediction models of optimal debulking with 5x5-fold cross-validation and calculated the area under the curve (AUC).

Results

Current aspirin use was associated with lower odds of optimal debulking compared to never use (OR=0.52, 95%CI=0.31-0.86) and two tissue markers, ADRB2 (OR=2.21, 95%CI=1.23-4.41) and FAP (OR=1.91, 95%CI=1.24-3.05) were associated with increased odds of optimal debulking. The BMA selected aspirin, parity, and menopausal status as the epidemiologic/clinical predictors with the posterior effect probability ≥20%. While the prediction model with epidemiologic/clinical predictors had low performance (average AUC=0.49), the model adding tissue biomarkers showed improved, but weak, performance (average AUC=0.62).

Conclusions

Addition of ovarian tumor tissue markers to our multivariable prediction models based on epidemiologic/clinical data slightly improved the model performance, suggesting debulking status may be in part driven by tumor characteristics. Larger studies are warranted to identify those at high risk of poor surgical outcomes informing personalized treatment.

A systematic assessment of stress insomnia as the high-risk factor for cervical cancer and interplay of cervicovaginal microbiome

Cervical cancer is a dreaded form of cancer in women, the fourth most common cancer, with around 0.3 million females suffering from this disease worldwide. Over the past several decades, global researches have focused on the mitigation of cervical lesions and cancers and have explored the impact of physiological and psychological stress and insomnia on cervical pathogenesis. Furthermore, disruption of the cervicovaginal microbiome profiles is identified as an added high-risk factor for the occurrence of cervical cancer. The physiological regulation of stress has an underlying mechanism controlled via hypothalamic pituitary adrenal (HPA) and sympatho-adrenal medullary (SAM) axes. Disruptions in these axes have been identified as the factors responsible for maintaining the homeostasis balance. Recent studies on microbiomes have offered novel ways to combat cervical cancer and cervix infection by exploring the interplay of the cervicovaginal microbiome. Moreover, the integration of various immune cells and microbiome diversity is known to act as an effective strategy to decipher the cervix biological activity. Cytokine profiling and the related immune competence, and physiological stress and insomnia impart to the regulatory networks underlying the mechanism which may be helpful in designing mitigation strategies. This review addressed the current progress in the research on cervical cancer, HPV infection, immune cell interaction, and physiological stress and insomnia with the cervicovaginal microbiome to decipher the disease occurrence and therapeutic management.

Advances in understanding cancer-associated neurogenesis and its implications on the neuroimmune axis in cancer

Nerves and immunologic mediators play pivotal roles in body homeostasis by interacting with each other through diverse mechanisms. The spread of nerves in the tumor microenvironment increases tumor cell proliferation and disease progression, and this correlates with poor patient outcomes. The effects of sympathetic and parasympathetic nerves on cancer regulation are being investigated. Recent findings demonstrate the possibility of developing therapeutic strategies that target the tumor microenvironment and its components such as immune cells, neurotransmitters, and extracellular vesicles. Therefore, examining and understanding the mechanisms and pathways associated with the sympathetic and parasympathetic nervous systems, neurotransmitters, cancer-derived mediators and their interactions with the immune system in the tumor microenvironment may lead to the development of new cancer treatments. This review discusses the effects of nerve cells, immune cells, and cancer cells have on each other that regulate neurogenesis, cancer progression, and dissemination.

Neurotransmitter release cycle-related genes predict the prognosis of lung adenocarcinoma

Because of the limitations of therapeutic approaches, patients suffering from lung adenocarcinoma (LUAD) have unsatisfactory prognoses. Studies have shown that neurotransmitters participated in tumorigenesis and development. In LUAD, the expression of neurotransmitter release cycle-related genes (NRCRGs) has been reported to be disordered. This study aimed to study the correlation between NRCRGs and LUAD. In this study, based on the Cancer Genome Atlas cohort, consensus clustering analyses were performed on ten neurotransmitter release cycle-related (NRCR) differentially expressed genes. Neurotransmitter release cycle (NRC) scores were derived by the Least Absolute Shrinkage and Selection Operator-Cox regression model constituted by 3 NRCRGs. Univariate and multivariate Cox regression analyses were performed to evaluate the prognosis value of the NRC score. In addition, single-Sample Gene Set Enrichment Analysis and CIBERSORT were conducted in the Cancer Genome Atlas cohort. Finally, gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses were also performed. As a result, the NRC-low group showed a good prognosis instead of the NRC-high group. NRC score was identified to be an independent prognosis factor for LUAD. In general, the NRC score based on the prognostic model was found to be closely correlated with immunotherapy-related anti-cancer immunity and inflamed tumor microenvironment. Functional enrichment results demonstrated that differentially expressed genes between 2 NRC groups were closely correlated with DNA replication, cell-substrate adhesion, Golgi vesicle transport, MAPK signal pathway, and many others. Novel biomarkers were offered for predicting the prognoses of LUAD patients. The NRC score might contribute to guiding LUAD patients with immunotherapy selection.

Network Pharmacology, Integrated Bioinformatics, and Molecular Docking Reveals the Anti-Ovarian Cancer Molecular Mechanisms of Cinnamon (Cinnamomum cassia (L.) J. Presl)

Cinnamon ( Cinnamomum cassia (L.) J. Presl) is a popular natural spice with various pharmacological properties. This study was based on network pharmacology integrating bioinformatics and molecular docking to explore the potential molecular mechanisms of cinnamon in the treatment of ovarian cancer (OC). The chemical composition of cinnamon was collected from the TCMSP database to predict its targets and construct a “cinnamon active component target” network. OC-related genes were retrieved from Genecards and DisGeNET databases. The “disease-target” network was established, and the drug targets were mapped to the disease targets, and the key targets obtained from the mapping were subjected to DAVID analysis to construct a “component-target-pathway” network diagram. The active ingredients of cinnamon were molecularly docked to the core targets to predict the molecular mechanism of cinnamon in the treatment of ovarian cancer. From cinnamon, 105 chemical components were screened and de-duplicated to obtain 15 active components and 74 drug target proteins, and 26 common targets were obtained after mapping drug targets to disease targets. 368 entries were identified by GO enrichment analysis, mainly including biological progresses such as regulation of smooth muscle contraction and regulation of tube diameter, and molecular functions such as antioxidant activity, and peroxidase activity. The KEGG pathway enrichment analysis identified 4 signaling pathways, neuroactive ligand-receptor interaction, HIF-1 signaling pathway, regulation of lipolysis in adipocytes, and complement and coagulation cascades. Molecular docking analysis showed good affinity of these key targets with representative components of OC. There was a stable interaction between DIBP and ADRB2 and NR3C1. There is a stable interaction between oleic acid and C2K, EDN1, ERBB2, PLAU, PLG, PRSS3, PTGS1, PTGS2, SERPINE1 and SLC2A1. Cinnamon exerted its therapeutic effects on OC through multiple pathways and targets.

Antihypertensive medication use and ovarian cancer survival

OBJECTIVE

Although experimental models suggest that use of beta-blockers, a common antihypertensive agent, may improve survival in ovarian cancer patients, results from clinical studies have been mixed.

METHODS

We evaluated the associations of pre-diagnostic (n = 950) and post-diagnostic (n = 743) use of antihypertensive medications with survival among patients with invasive, epithelial ovarian cancer in the Nurses' Health Study (NHS; 1994-2016) and NHSII (2001-2017), with follow-up until 2018 and 2019, respectively. Cox proportional hazards models were used to estimate hazard ratios (HR) for ovarian cancer mortality according to antihypertensive medication use before and after diagnosis, considering multiple drug classes (beta-blockers, calcium-channel blockers, thiazide diuretics, angiotensin-converting enzyme [ACE] inhibitors).

RESULTS

After adjusting for age, BMI, smoking status and tumor characteristics, pre-diagnostic use versus non-use of calcium-channel blockers was associated with higher ovarian cancer mortality (HR: 1.49; 95% CI: 1.13, 1.96), which was primarily due to polytherapy involving calcium-channel blockers (HR: 1.61; 95% CI: 1.15, 2.26). Pre-diagnostic use of beta-blockers, thiazide diuretics, or ACE inhibitors was not associated with ovarian cancer mortality. No association was observed for post-diagnostic antihypertensive medication use individually or in combination, except for lower mortality associated with polytherapy involving ACE inhibitors (HR: 0.53; 95% CI: 0.31, 0.91).

CONCLUSION

Overall, we did not find clear relationships between antihypertensive medication use and ovarian cancer mortality. However, given the limitation of the data, we cannot determine whether the association may differ by type of beta-blockers. The reasons underlying the observed associations with pre-diagnostic calcium-channel blocker use and post-diagnostic ACE inhibitor use require further investigation.

Effects of long-term norepinephrine treatment on normal immortalized ovarian and fallopian tube cells

Sustained adrenergic stimulation by norepinephrine (NE) contributes to ovarian carcinoma metastasis and impairment of chemotherapy response. Although the effect of sustained NE stimulation in cancer progression is well established, less is known about its role in cancer initiation. To determine the extent to which stress hormones influence ovarian cancer initiation, we conducted a long-term (> 3 months; > 40 population doublings) experiment in which normal immortalized fallopian tube secretory (iFTSEC283) and ovarian surface epithelial (iOSE11) cell lines and their isogenic pairs containing a p53 mutation (iFTSEC283p53R175H; iOSE11p53R175H), were continuously exposed to NE (100 nM, 1 μM, 10 μM). Fallopian tube cells displayed a p53-independent increase in proliferation and colony-forming ability in response to NE, while ovarian surface epithelial cells displayed a p53-independent decrease in both assays. Fallopian tube cells with mutant p53 showed a mild loss of chromosomes and TP53 status was also a defining factor in transcriptional response of fallopian tube cells to long-term NE treatment.

Stress Hormones: Emerging Targets in Gynecological Cancers

In the past decade, several discoveries have documented the existence of innervation in ovarian cancer and cervical cancer. Notably, various neurotransmitters released by the activation of the sympathetic nervous system can promote the proliferation and metastasis of tumor cells and regulate immune cells in the tumor microenvironment. Therefore, a better understanding of the mechanisms involving neurotransmitters in the occurrence and development of gynecological cancers will be beneficial for exploring the feasibility of using inexpensive β-blockers and dopamine agonists in the clinical treatment of gynecological cancers. Additionally, this article provides some new insights into targeting tumor innervation and neurotransmitters in the tumor microenvironment.

Overexpression of β-Adrenergic Receptors and the Suppressive Effect of β2-Adrenergic Receptor Blockade in Oral Squamous Cell Carcinoma

PURPOSE

The purpose of this project was to investigate the expression of β-adrenergic receptors in oral squamous cell carcinoma (OSCC) and the tumor suppressive activity of β₂-adrenergic receptor (β₂-AR) blockade.

MATERIALS AND METHODS

Samples of 15 normal oral mucosal epithelial tissues, 60 surgically resected OSCC tissues, and 60 adjacent para-carcinoma tissues were collected. The expression of β₁-adrenergic receptor and β₂-AR was detected by real-time quantitative polymerase chain reaction and the Western blot test. SCC9 and Cal27 cell lines and primary OSCC cells also were included and treated with ICI-118,551 (MedChemExpress, Monmouth Junction, NJ), a selective β₂-AR blocker. In addition, the Cal27 cell line was treated with propranolol (a nonselective β-adrenergic receptor blocker) to verify the suppressive effect of β₂-AR blockade. For in vivo assays, Cal27 cells were subcutaneously injected in the tongue flank of nude mice. ICI-118,551 was orally administered to the mice in the treatment group daily. High-throughput sequencing was used to screen for changes in gene expression.

RESULTS

Real-time quantitative polymerase chain reaction and the Western blot test both showed that β₁-adrenergic receptor and β₂-AR were overexpressed in OSCC tissues and cells. A relationship was found between β₂-AR and a more advanced clinical stage, as well as preoperative lymphatic metastasis. After treatment with ICI-118,551 or propranolol, the capacities for proliferation, invasion, and metastasis of OSCC cells were significantly inhibited. Tumor size was significantly different between the ICI-118,551 and control groups. The survival time in the ICI-118,551 group also was prolonged significantly. Moreover, high-throughput sequencing identified 19 affected signaling pathways, including mitogen-activated protein kinase and PI3K-Akt. We confirmed a significant change to the expression of several genes closely related to the progression of cancer.

CONCLUSION

This study showed that β₂-AR is related to a more advanced clinical stage and preoperative lymphatic metastasis. Additionally, a β₂-AR blocker has a significant suppressive effect in OSCC.

Monteiro A, N. Armaiz-Pena G. Norepinephrine-Induced DNA Damage in Ovarian Cancer Cells

Multiple studies have shown that psychological distress in epithelial ovarian cancer (EOC) patients is associated with worse quality of life and poor treatment adherence. This may influence chemotherapy response and prognosis. Moreover, although stress hormones can reduce cisplatin efficacy in EOC treatment, their effect on the integrity of DNA remains poorly understood. In this study, we investigated whether norepinephrine and epinephrine can induce DNA damage and modulate cisplatin-induced DNA damage in three EOC cell lines. Our data show that norepinephrine and epinephrine exposure led to increased nuclear γ-H2AX foci formation in EOC cells, a marker of double-strand DNA breaks. We further characterized norepinephrine-induced DNA damage by subjecting EOC cells to alkaline and neutral comet assays. Norepinephrine exposure caused DNA double-strand breaks, but not single-strand breaks. Interestingly, pre-treatment with propranolol abrogated norepinephrine-induced DNA damage indicating that its effects may be mediated by β-adrenergic receptors. Lastly, we determined the effects of norepinephrine on cisplatin-induced DNA damage. Our data suggest that norepinephrine reduced cisplatin-induced DNA damage in EOC cells and that this effect may be mediated independently of β-adrenergic receptors. Taken together, these results suggest that stress hormones can affect DNA integrity and modulate cisplatin resistance in EOC cells.

G Protein-Coupled Receptors (GPCRs)-Mediated Calcium Signaling in Ovarian Cancer: Focus on GPCRs activated by Neurotransmitters and Inflammation-Associated Molecules

G-coupled protein receptors (GCPR) involve several signaling pathways, some of them being coupled with intracellular calcium (Ca²⁺) mobilization. GPCRs were involved in migration, invasion and metastasis of different types of cancers, including ovarian cancer. Many studies have discussed the essential contribution of GPCRs activated by steroid hormones in ovarian cancer. However, ovarian cancer is also associated with altered signals coming from the nervous system, the immune system or the inflammatory environment, in which GPCRs are ‘sensing’ these molecular signals. Many studies have been oriented so far on ovarian cell lines (most of them being of human cell lines), and only few studies based on animal models or clinical studies have been devoted to the expression changes or functional role of GPCRs in ovarian cancer. In this paper, we review the alterations of GPCRs activated by neurotransmitters (muscarinic receptors, serotonin receptors, dopamine receptors, adrenoceptors) or inflammation-associated molecules (bradykinin receptors, histamine receptors, chemokine receptors) in ovarian cancer and we discuss their potential as histological biomarkers.

Posttraumatic Stress Disorder Is Associated with Increased Risk of Ovarian Cancer: A Prospective and Retrospective Longitudinal Cohort Study

Ovarian cancer is the deadliest gynecologic cancer. Chronic stress accelerates tumor growth in animal models of ovarian cancer. We therefore postulated that posttraumatic stress disorder (PTSD) may be associated with increased risk of ovarian cancer. We used data from the Nurses' Health Study II, a longitudinal cohort study with 26 years of follow-up, conducted from 1989 to 2015 with 54,710 subjects. Lifetime PTSD symptoms were measured in 2008. Self-reported ovarian cancer was validated with medical records. Risk of ovarian cancer was estimated with Cox proportional hazards models and further adjusted for known ovarian cancer risk factors (e.g., hormonal factors) and health risk factors (e.g., smoking). Fully prospective secondary analyses examined incident ovarian cancer occurring after PTSD assessment in 2008. In addition, we examined associations by menopausal status. During follow-up, 110 ovarian cancers were identified. Women with high PTSD symptoms had 2-fold greater risk of ovarian cancer versus women with no trauma exposure [age-adjusted HR = 2.10; 95% confidence interval (CI), 1.12-3.95]. Adjustment for health and ovarian cancer risk factors moderately attenuated this association (HR = 1.86; 95% CI, 0.98-3.51). Associations were similar or moderately stronger in fully prospective analyses (age-adjusted HR = 2.38; 95% CI, 0.98-5.76, N cases = 50) and in premenopausal women (HR = 3.42; 95% CI, 1.08-10.85). In conclusion, we show that PTSD symptoms are associated with increased risk of ovarian cancer. Better understanding of the underlying molecular mechanisms could lead to interventions that reduce ovarian cancer risk in women with PTSD and other stress-related mental disorders. SIGNIFICANCE: PTSD is associated with ovarian cancer risk, particularly in premenopausal women. Understanding the underlying molecular mechanisms will aid in formulating ways to reduce ovarian cancer risk associated with chronic stress.

Social Integration, Marital Status, and Ovarian Cancer Risk: A 20-Year Prospective Cohort Study

OBJECTIVE

Low social integration and divorce/widowhood are chronic psychosocial stressors that may affect health. When assessed after cancer diagnosis, they have been associated with poorer survival, but their role in cancer development, particularly ovarian cancer (OvCA), is less understood. We investigated whether social integration and marital status were related to OvCA risk in a large population-based study.

METHODS

Women from the Nurses' Health Study completed the Berkman-Syme Social Network Index and reported their marital status every 4 years starting in 1992 (N = 72,206), and were followed up until 2012 (20-year follow-up period). Multivariate Cox regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of OvCA risk, considering relevant potential confounders, in lagged analyses whereby psychosocial indicators were assessed 4 to 8 years (n = 436 cases) and 8 to 12 years (n = 306 cases) before diagnosis to account for the effects of prediagnostic symptoms on social measures. Secondary analyses evaluated the stability of and cumulative exposure to these social factors on OvCA risk.

RESULTS

Being socially isolated versus integrated was related to an increased OvCA risk 8 to 12 years later (HR = 1.51, 95% CI = 1.07-2.13), but not 4 to 8 years later. Compared with married women, OvCA risk was significantly higher in widowed but not in separated/divorced individuals, with both time periods (e.g., 8-12 years later: HRwidowed = 1.57 [95% CI = 1.15-2.14] versus HRseparated/divorced = 1.13 [95% CI = 0.74-1.72]). Estimates were comparable or stronger when investigating stability in and cumulative effects of social indicators.

CONCLUSIONS

Results suggest higher OvCA risk among socially isolated and widowed women, particularly when such psychosocial stressors were experienced a decade before diagnosis or were sustained over time.

Social support and ovarian cancer incidence - A Swedish prospective population-based study

OBJECTIVE

Low social support is associated with worse prognosis for epithelial ovarian cancer (EOC) patients. However, few studies have explored the relation between low social support and incidence of EOC. The aim of this prospective nested case-control study was to examine whether self-perceived low social support was associated with the incidence of EOC.

METHODS

The Swedish Cancer Registry was used to identify participants in the Västerbotten Intervention Programme (VIP) comprising 58,000 women, who later developed EOC. Each case was matched to four cancer free controls. The VIP uses the Social Support questionnaire, a modified version of the validated questionnaire "The Interview Schedule for Social Interaction" (ISSI) measuring quantitative (AVSI) and qualitative (AVAT) aspects of social support.

RESULTS

The risk of EOC in relation to AVSI and AVAT was similar between the 239 cases and the 941 controls after adjustment for educational level, smoking, BMI, Cambridge Physical Activity Index and age (aOR 0.85, 95% CI 0.72-1.01 and aOR 0.54, 95% CI 0.16-1.81). Lagtime was found to have no impact. A decreased risk of serous ovarian cancer was seen in women with fewer persons available for informal socializing (aOR 0.75, 95% CI 0.59-0.95). Adjusted analyses showed non-significant odds ratios below 1.0 in the vast majority of histotypes.

CONCLUSIONS

A general trend towards a decreased risk of ovarian cancer associated with low AVSI and AVAT was identified. Solely the serous subtype was significantly associated with low scores of AVSI. Prospective pathophysiological and epidemiological studies regarding social support are needed.

Current Gaps in Ovarian Cancer Epidemiology: The Need for New Population-Based Research

With recent ovarian cancer screening studies showing no clinically significant mortality benefit, preventing this disease, identifying high-risk populations, and extending survival remain priorities. However, several challenges are impeding progress in ovarian cancer research. With most studies capturing exposure information from 10 or more years ago, evaluation of how changing patterns of exposures, such as new oral contraceptive formulations and increased intrauterine device use, might influence ovarian cancer risk and survival is difficult. Risk factors for ovarian cancer should be evaluated in the context of tumor histotypes, which have unique molecular features and cells of origin; this is a task that requires large collaborative studies to achieve meaningful sample sizes. Importantly, identification of novel modifiable risk factors, in addition to those currently known to reduce risk (eg, childbearing, tubal ligation, oral contraceptive use), is needed; this is not feasibly implemented at a population level. In this Commentary, we describe important gaps in knowledge and propose new approaches to advance epidemiologic research to improve ovarian cancer prevention and survival, including updated classification of tumors, collection of data on changing and novel exposures, longer follow-up on existing studies, evaluation of diverse populations, development of better risk prediction models, and collaborating prospectively with consortia to develop protocols for new studies that will allow seamless integration for future pooled analyses.

The Association of Work Characteristics With Ovarian Cancer Risk and Mortality

OBJECTIVE

Ovarian cancer (OvCA) is a leading cause of cancer death for women. Depression and social isolation have been associated with a higher OvCA risk and poorer survival, but other forms of chronic psychosocial stress, including work-related characteristics, remain understudied.

METHODS

Women from three prospective cohorts (Nurses' Health Study: n = 31,754; Nurses' Health Study II: n = 74,260; Northern Sweden Health and Disease Study: nnested case-control study = 196) completed a job questionnaire, assessing demand and control at work, social support provided by coworkers and supervisor, and job security. Multivariate Cox and conditional logistic regression models estimated hazard ratios (Nurses' Health Study/Nurses' Health Study II) and odd ratios (Northern Sweden Health and Disease Study) of OvCA risk and mortality among cases. Random coefficient models were used for meta-analyses.

RESULTS

There were 396 OvCA cases and 186 deaths during follow-up. Overall, job strain, strain chronicity, social support, and job security were not significantly associated with OvCA risk (e.g., pooled relative risk [RR]high demand/low control = 1.06, confidence interval [CI] = 0.72-1.55) or mortality (e.g., pooled RRhigh demand/low control = 1.08, CI = 0.64-1.82). When considered individually, compared with low levels, only moderate levels of demand were associated with a reduced OvCA risk (pooled RR = 0.66, CI = 0.49-0.90). Social support provided by the coworker or the supervisor did not moderate the association of job strain with either OvCA risk or overall mortality.

CONCLUSIONS

We did not observe clear associations between work characteristics and OvCA incidence or mortality, but further research with diverse populations is warranted.