Lifetime Exposure to Cigarette Smoke, B Cell Tumor Immune Infiltration, and Immunoglobulin Abundance in Ovarian Tumors

BACKGROUND

Cigarette smoke exposure has been linked to systemic immune dysfunction, including for B cell and immunoglobulin (Ig) production, and poor outcomes in ovarian cancer patients. No study has evaluated the impact of smoke exposure across the lifecourse on B cell infiltration and Ig abundance in ovarian tumors.

METHODS

We measured markers of B and plasma cells and Ig isotypes using multiplex immunofluorescence on 395 ovarian cancer tumors in the Nurses' Health Study (NHS)/NHSII. We conducted beta-binomial analyses evaluating odds ratios (OR) and 95% confidence intervals (CI) for positivity of immune markers by cigarette exposure among cases and Cox proportional hazards models to evaluate hazard ratios (HR) and 95%CI for developing tumors with low (

RESULTS

There were no associations between smoke exposure and B cell or IgM infiltration in ovarian tumors. Among cases, we observed higher odds of IgA+ among ever smokers (OR: 1.54, 95%CI: 1.14, 2.07) and ever smokers with no parental smoke exposure (OR: 2.03, 95%CI: 1.18, 3.49) versus never smokers. Women with parental cigarette smoke exposure versus not had higher risk of developing ovarian cancer with low IgG+ (HR: 1.51, 95%CI: 1.10, 2.09), while ever versus never smokers had a lower risk (HR: 0.74, 95%CI: 0.56,0.99).

CONCLUSIONS

Ever smoking was associated with increased odds of IgA in ovarian tumors.

IMPACT

IgA has been associated with improved ovarian cancer outcomes, suggesting that although smoking is associated with poor outcomes in ovarian cancer patients, it may lead to improved tumor immunogenicity.

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Grants

• P01 CA087969 NCI NIH HHS
• U01 CA176726 NCI NIH HHS

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Affiliation(s)

Cassandra A Hathaway Moffitt Cancer Center, Tampa, FL, United States
Mary K Townsend Moffitt Cancer Center, Tampa, FL, United States
Tianyi Wang Moffitt Cancer Center, Tampa, FL, United States
Christine Vinci Moffitt Cancer Center, Tampa, FL, United States
Danielle E Jake-Schoffman University of Florida, Gainesville, Florida, United States
Jonathan L Hecht Harvard Medical School, Boston, MA, United States
Daryoush Saeed-Vafa Moffitt Cancer Center, Tampa, FL, United States
Carlos Moran Segura Moffitt Cancer Center, Tampa, FL, United States
Jonathan V Nguyen Moffitt Cancer Center, Tampa, FL, United States
Jose R Conejo-Garcia Duke University School of Medicine, Durham, NC, United States
Brooke L Fridley Moffitt Cancer Center, Tampa, FL, United States
Shelley S Tworoger Oregon Health & Science University School of Medicine, Portland, OR, United States

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WITHDRAWN: Impact of spatial clustering of cytotoxic and tumor infiltrating lymphocytes on overall survival in women with high grade serous ovarian cancer

The authors have withdrawn their manuscript owing to incorrect handling of multiple measures in the survival analyses. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

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.

The Association of Kidney Function and Inflammatory Biomarkers with Epithelial Ovarian Cancer Risk

BACKGROUND

One of the mechanisms of ovarian tumorigenesis is through inflammation. Kidney dysfunction is associated with increased inflammation; thus, we assessed its relationship with ovarian cancer risk.

METHODS

In prospectively collected samples, we evaluated the association of kidney function markers and C-reactive protein (CRP) with ovarian cancer risk in the UK Biobank. We used multivariable-adjusted Cox proportional hazards models to evaluate quartiles of serum and urine markers with ovarian cancer risk overall and by histology. We assessed effect modification by CRP (≤3.0, >3.0 mg/L).

RESULTS

Among 232,908 women (1,110 ovarian cancer cases diagnosed from 2006-2020), we observed no association between estimated glomerular filtration rate and ovarian cancer risk (Q4 vs. Q1: HR, 1.00; 95% confidence intervals, 0.83-1.22). Potassium was associated with endometrioid (Q4 vs. Q1: 0.33, 0.11-0.98) and clear cell (4.74, 1.39-16.16) tumors. Poor kidney function was associated with a nonsignificant increase in ovarian cancer risk among women with CRP>3.0 mg/L (e.g., uric acid Q4 vs. Q1; 1.23, 0.81-1.86), but not CRP≤3.0 mg/L (0.83, 0.66-1.05). Other associations did not vary across CRP categories.

CONCLUSIONS

Kidney function was not clearly associated with ovarian cancer risk. Larger studies are needed to evaluate possible histology specific associations. Given the suggestive trend for increased ovarian cancer risk in women with poor kidney function and high CRP, future work is needed, particularly in populations with a high prevalence of inflammatory conditions.

IMPACT

This study provided the first evaluation of markers of kidney function in relation to ovarian cancer risk.

Relationships among Inflammatory Biomarkers and Objectively Assessed Physical Activity and Sleep during and after Chemotherapy for Gynecologic Malignancies

Little is known regarding associations between inflammatory biomarkers and objectively measured physical activity and sleep during and after chemotherapy for gynecologic cancer; thus, we conducted a longitudinal study to address this gap. Women with gynecologic cancer (patients) and non-cancer controls (controls) completed assessments before chemotherapy cycles 1, 3, and 6 (controls assessed contemporaneously), as well as at 6- and 12-month follow-ups. Physical activity and sleep were measured using wrist-worn actigraphs and sleep diaries, and blood was drawn to quantify circulating levels of inflammatory markers. Linear and quadratic random-effects mixed models and random-effects fluctuation mixed models were used to examine physical activity and sleep over time, as well as the associations with inflammatory biomarkers. On average, patients (n = 97) and controls (n = 104) were 62 and 58 years old, respectively. Compared to controls, patients were less active, more sedentary, had more time awake after sleep onset, and had lower sleep efficiency (p-values < 0.05). Across groups, higher levels of TNF-α were associated with more sedentary time and less efficient sleep (p-values ≤ 0.05). Higher levels of IL-1β, TNF-α, and IL-6 were associated with lower levels of light physical activity (p-values < 0.05). Associations between inflammatory biomarkers, physical activity, and sleep did not differ between patients and controls. Given these results, we speculate that inflammation may contribute to less physical activity and more sleep problems that persist even 12 months after completing chemotherapy.

Relationships among Inflammatory Biomarkers and Self-Reported Treatment-Related Symptoms in Patients Treated with Chemotherapy for Gynecologic Cancer: A Controlled Comparison

Previous research suggests that inflammation triggers cancer-treatment-related symptoms (i.e., fatigue, depression, and disruptions in sleep and physical activity), but evidence is mixed. This study examined relationships between inflammatory biomarkers and symptoms in patients with gynecologic cancer compared to age-matched women with no cancer history (i.e., controls). Patients (n = 121) completed assessments before chemotherapy cycles 1, 3, and 6, and 6 and 12 months later. Controls (n = 105) completed assessments at similar timepoints. Changes in inflammation and symptomatology were evaluated using random-effects mixed models, and cross-sectional differences between patients and controls in inflammatory biomarkers and symptoms were evaluated using least squares means. Associations among inflammatory biomarkers and symptoms were evaluated using random-effects fluctuation mixed models. The results indicated that compared to controls, patients typically have higher inflammatory biomarkers (i.e., TNF-alpha, TNFR1, TNFR2, CRP, IL-1ra) and worse fatigue, depression, and sleep (ps < 0.05). Patients reported lower levels of baseline physical activity (p = 0.02) that became more similar to controls over time. Significant associations were observed between CRP, depression, and physical activity (ps < 0.05), but not between inflammation and other symptoms. The results suggest that inflammation may not play a significant role in fatigue or sleep disturbance among gynecologic cancer patients but may contribute to depression and physical inactivity.

Measurement of Ovarian Tumor Immune Profiles by Multiplex Immunohistochemistry: Implications for Epidemiologic Studies

BACKGROUND

Despite the immunogenic nature of many ovarian tumors, treatment with immune checkpoint therapies has not led to substantial improvements in ovarian cancer survival. To advance population-level research on the ovarian tumor immune microenvironment, it is critical to understand methodologic issues related to measurement of immune cells on tissue microarrays (TMA) using multiplex immunofluorescence (mIF) assays.

METHODS

In two prospective cohorts, we collected formalin-fixed, paraffin-embedded ovarian tumors from 486 cases and created seven TMAs. We measured T cells, including several sub-populations, and immune checkpoint markers on the TMAs using two mIF panels. We used Spearman correlations, Fisher exact tests, and multivariable-adjusted beta-binomial models to evaluate factors related to immune cell measurements in TMA tumor cores.

RESULTS

Between-core correlations of intratumoral immune markers ranged from 0.52 to 0.72, with more common markers (e.g., CD3+, CD3+CD8+) having higher correlations. Correlations of immune cell markers between the whole core, tumor area, and stromal area were high (range 0.69-0.97). In multivariable-adjusted models, odds of T-cell positivity were lower in clear cell and mucinous versus type II tumors (ORs, 0.13-0.48) and, for several sub-populations, were lower in older tissue (sample age > 30 versus ≤ 10 years; OR, 0.11-0.32).

CONCLUSIONS

Overall, high correlations between cores for immune markers measured via mIF support the use of TMAs in studying ovarian tumor immune infiltration, although very old samples may have reduced antigenicity.

IMPACT

Future epidemiologic studies should evaluate differences in the tumor immune response by histotype and identify modifiable factors that may alter the tumor immune microenvironment.

Abstract 3008: Association between distress and the tumor immune microenvironment in women with ovarian cancer

Various forms of distress, most notably depression, increase ovarian cancer risk. Prior work suggests depression can lead to systemic immune suppression; moreover, after ovarian cancer diagnosis, ongoing depression can lower tumor T cell infiltration. Here, we evaluated the relationship between pre-diagnosis depression and the ovarian tumor immune microenvironment.

Analyses were conducted among women with ovarian cancer in the Nurses’ Health Study (NHS; n=250), NHSII (n=122) and New England Case-Control Study (NEC; n=215). Self-report of depressive symptoms, antidepressant use, or physician diagnosis were used to define depression status. Multiplex immunofluorescence assays were performed on tumor tissue microarrays to measure infiltration of T cells, immune checkpoints, B cells, and immunoglobulins in the tumor area. In pooled analyses, we estimated odds ratios (OR) and 95% confidence intervals (CI) for positivity of tumor immune cells using a beta-binomial model within a repeated measures framework comparing those with and without depression.

Depression was not associated with abundance of CD3+ T cells, CD3+CD8+ cytotoxic T cells, or CD3+CD4+ T helper cells. However, we observed significantly increased odds of having recently activated cytotoxic (CD3+CD8+CD69+) and exhausted T cells (CD3+Lag3+) in tumors of women with vs. without depression (OR=1.34, 95%CI=1.08-1.65 and OR=1.25, 95%CI=1.02-1.53, respectively). Associations were comparable considering only high grade serous tumors (comparable ORs=1.31, 95%CI=1.04-1.65 and OR=1.25, 95%CI=1.00-1.56, respectively). No associations were observed for total B cells (CD19+) and naïve or memory B cells (CD20+). However, there were significantly decreased odds of having tumor infiltrating plasma cells (CD138+) in women with vs. without depression (OR=0.54, 95%CI=0.33-0.89). Among high grade serous carcinomas, the association with plasma cells was similar, though not statistically significant, and depression was related to decreased odds of having naïve and memory B cells (OR=0.56, 95%CI=0.32-0.97) and increased odds of IgG (OR=1.26, 95%CI=1.01-1.58).

Unexpectedly, we observed that immune cells indicative of T cell activation were higher in ovarian tumors of depressed vs. non-depressed women. This may be due to increased inflammation in women with depressive symptomology. Conversely, analyses of plasma cells suggested a reduced adaptive tumor immune response for women with vs. without depression. These results suggest depression may influence ovarian cancer outcomes through changes in the tumor immune microenvironment and that interventions to improve distress in ovarian cancer patients may be a potential strategy to improve outcomes.

Citation Format: Cassandra A. Hathaway, Mary K. Townsend, Jose R. Conejo-Garcia, Brooke L. Fridley, Carlos Moran Segura, Jonathan V. Nguyen, Naoko Sasamoto, Daryoush Saeed-Vafa, Kathryn L. Terry, Laura D. Kubzansky, Shelley S. Tworoger. Association between distress and the tumor immune microenvironment in women with ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3008.

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.

Lifetime Exposure to Cigarette Smoke and Risk of Ovarian Cancer by T-cell Tumor Immune Infiltration

BACKGROUND

Exposure to cigarette smoke, particularly in early life, is modestly associated with ovarian cancer risk and may impact systemic immunity and the tumor immune response. However, no studies have evaluated whether cigarette smoke exposure impacts the ovarian tumor immune microenvironment.

METHODS

Participants in the Nurses' Health Study (NHS) and NHSII reported on early life exposure to cigarette smoke and personal smoking history on questionnaires (n = 165,760). Multiplex immunofluorescence assays were used to measure markers of T cells and immune checkpoints in tumor tissue from 385 incident ovarian cancer cases. We used Cox proportional hazards models to evaluate HRs and 95% confidence intervals (CI) for developing ovarian tumors with a low (<median) or high (≥median) immune cell percentage by cigarette exposure categories.

RESULTS

Women exposed versus not to cigarette smoke early in life had a higher risk of developing ovarian cancer with low levels of T cells overall (CD3+: HR: 1.54, 95% CI: 1.08-2.20) and recently activated cytotoxic T cells (CD3+CD8+CD69+: HR: 1.45, 95% CI: 1.05-2.00). These findings were not statistically significant at the Bonferroni-corrected P value of 0.0083. Adult smoking was not significantly associated with tumor immune markers after Bonferroni correction.

CONCLUSIONS

These results suggest early life cigarette smoke exposure may modestly increase risk of developing ovarian tumors with low abundance of total T cells and recently activated cytotoxic T cells.

IMPACT

Future research should focus on understanding the impact of exposures throughout the life course on the ovarian tumor immune microenvironment.

Modification of the Association Between Frequent Aspirin Use and Ovarian Cancer Risk: A Meta-Analysis Using Individual-Level Data From Two Ovarian Cancer Consortia

PURPOSE

Frequent aspirin use has been associated with reduced ovarian cancer risk, but no study has comprehensively assessed for effect modification. We leveraged harmonized, individual-level data from 17 studies to examine the association between frequent aspirin use and ovarian cancer risk, overall and across subgroups of women with other ovarian cancer risk factors.

METHODS

Nine cohort studies from the Ovarian Cancer Cohort Consortium (n = 2,600 cases) and eight case-control studies from the Ovarian Cancer Association Consortium (n = 5,726 cases) were included. We used Cox regression and logistic regression to assess study-specific associations between frequent aspirin use (≥ 6 days/week) and ovarian cancer risk and combined study-specific estimates using random-effects meta-analysis. We conducted analyses within subgroups defined by individual ovarian cancer risk factors (endometriosis, obesity, family history of breast/ovarian cancer, nulliparity, oral contraceptive use, and tubal ligation) and by number of risk factors (0, 1, and ≥ 2).

RESULTS

Overall, frequent aspirin use was associated with a 13% reduction in ovarian cancer risk (95% CI, 6 to 20), with no significant heterogeneity by study design (P = .48) or histotype (P = .60). Although no association was observed among women with endometriosis, consistent risk reductions were observed among all other subgroups defined by ovarian cancer risk factors (relative risks ranging from 0.79 to 0.93, all P-heterogeneity > .05), including women with ≥ 2 risk factors (relative risk, 0.81; 95% CI, 0.73 to 0.90).

CONCLUSION

This study, the largest to-date on aspirin use and ovarian cancer, provides evidence that frequent aspirin use is associated with lower ovarian cancer risk regardless of the presence of most other ovarian cancer risk factors. Risk reductions were also observed among women with multiple risk factors, providing proof of principle that chemoprevention programs with frequent aspirin use could target higher-risk subgroups.

Abstract 277: High agreement between immune profiling assays on the detection of infiltrating immune cells in ovarian tumor tissue

Detecting immune cells and estimating their heterogeneity in the tumor microenvironment (TME) is critical to inform assessments of cancer prognosis and response to immunotherapies. Many immune activity assays to detect immune cells are available, including multiplex immunofluorescence (mIF) of tissue slices to assess co-localization of immune cell markers and traditional immunohistochemistry (IHC) staining. More recently, statistical approaches to define cell types from RNAseq data (e.g., deconvolution, gene set enrichment) have been widely adopted due to the wide availability of transcriptomics profiles. Here, we interrogated the level of agreement between immune cells in the ovarian TME assessed by mIF (Vectra images processed via InForm/Halo), IHC, and deconvoluted whole exome RNAseq. We leveraged data from epithelial ovarian tumor cores embedded in tissue microarrays from participants in the Nurses’ Health Study I and II and the New England Case-Control Study (mIF, n=668 women; IHC, n=467; RNAseq, n=241). To explore agreement between technologies, we calculated the overall and compartment-specific percentages of cells positive for mIF markers CD3, CD4, CD8, CD19, CD20, CD138 and FOXP3, including cell specific phenotypes based on these markers. For IHC, a pathologist generated scores based on proportion of positive cells and/or aggregation into four levels (0, 1, 2, or 3) for markers CD8, CD68, and CD163. Deconvolution of transcriptomic profiles was performed with CIBERSORT (22 cell types) and xCell (64 cell types). Spearman correlation between technologies for cell specific markers (i.e., cytotoxic T cells, regulatory T cells (Tregs), B cells, macrophages, monocytes, among others) was used to assess agreement. We observed that detection of CD8+ and CD3+CD8+ cells from mIF (cytotoxic T cells) was consistent with the other assays (r &gt;0.25), and the highest correlation was observed with IHC CD8+ cells (r=0.52). For deconvoluted transcriptomic predictions, CD8 T cells (xCell, CIBERSORT), and memory CD8 T cells (xCell) showed high agreement with mIF CD8+ and CD3+CD8+ cells (r=0.25 to 0.48). CD4+ and CD3+CD4+ cells detected with mIF also showed correlation with xCell CD4 memory T cells (r=0.25 to 0.34). As expected, only general class B cells from xCell showed agreement with mIF CD20+ cells (r=0.35). In addition, xCell Tregs correlated with mIF FOXP3+ cells (r=0.34). These results highlight the importance of considering the predictive power of immunological assays for the study of the TME. Compared to mIF, the robustness of deconvoluted RNAseq data varies with the cell type being predicted. Finally, RNAseq should be considered a complementary technology to staining of archival tissues given that the former does conserve spatial distribution of cell types.

Citation Format: Oscar E. Ospina, Mary K. Townsend, Tianyi Wang, Naoko Sasamoto, Paul Stewart, Jose Conejo-Garcia, Kathryn Terry, Shelley S. Tworoger, B L. Fridley. High agreement between immune profiling assays on the detection of infiltrating immune cells in ovarian tumor tissue [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 277.

Abstract 5887: Association of ovarian tumor immune profiles with overall survival

Despite being immunogenic, high-grade serous ovarian carcinomas (HGSC), the most common histotype, generally are not responsive to immune checkpoint inhibitors. To understand potential reasons for this, we examined associations of tumor-infiltrating B cells and T cells, including sub-populations defined by expression of immune checkpoints and T cell exhaustion markers, with survival in three epidemiologic studies. Analyses included participants in the Nurses’ Health Study (NHS), NHSII, and New England Case-control study who were diagnosed with stage 1-3 HGSC for whom tumor tissue was obtained. B cells (CD19, CD20, CD138), T cells (CD3), and T cell subpopulations (CD3 co-localized with CD8, CD4, PD1, PDL1, LAG3, TIM3) were measured using multiplex immunofluorescence assays performed on tissue microarray slides containing 3 cores per case. For each participant, we summed counts of immune cells infiltrating the tumor and total tumor cells across cores. Counts of immune cell subpopulations were adjusted for the parent cell count using residuals from beta-binomial models. Hazard ratios (HR) and 95% confidence intervals (CI) for overall mortality according to presence/absence or quantiles of immune cells were calculated using Cox proportional hazards regression models adjusting for age at diagnosis, diagnosis year, stage, study, and total tumor cell count. Among 389 women with HGSC, presence vs. absence of CD19+ B cells was suggestively associated with lower mortality (HR 0.79, 95%CI:0.61-1.01); similar associations were observed for CD19-adjusted CD20+ B cells and CD138+ plasma cells (HRs 0.75-0.78, quintile 5 vs. 1).Higher total T cells was associated with improved survival (HR 0.67, 95%CI:0.45-0.99, quintile 5vs. 1). Similar reduced risks were observed with high levels of both CD19+ B cells and CD3+ T cells (HR 0.66) or high levels of one cell type (HRs 0.65-0.75) compared with low levels of both. For the two primary T cell subfractions, lower risk was observed with higher CD3-adjustedCD3+CD8+ cytotoxic T cells (HRs 0.68, 0.73, 0.69, 0.59 for quintiles 2-5 vs. 1), but notCD3+CD4+ helper T cells (HR 0.97, 95%CI: 0.72-1.31, tertile 3 vs. 1). T cells with immune checkpoint markers (PD1, PDL1) and/or markers of T-cell exhaustion (LAG3, TIM3) generally were not associated with mortality or tended to be associated with lower mortality risk, with a significant inverse association observed for CD3-adjusted CD3+PD1+TIM3- cells (HR 0.61,95%CI:0.41-0.92, quintile 5 vs. 1).Overall, higher levels of B cells and CD3+CD8+ T cells in tumor were associated with improved outcomes, consistent with other studies. Congruent with the apparent ineffectiveness of immune checkpoint inhibitors in ovarian cancer, our results do not support that T cells expressing immune checkpoint and/or T cell exhaustion markers are related to worse outcome among women with HGSC. Future analyses will consider multiple cell types simultaneously and the stroma compartment.

Citation Format: Shelley S. Tworoger, Mary K. Townsend, Jose Conejo-Garcia, Brooke L. Fridley, Carlos Moran Segura, Daryoush Saeed-Vafa, Naoko Sasamoto, Kathryn L. Terry. Association of ovarian tumor immune profiles with overall survival [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5887.

Prospective Analyses of Sedentary Behavior in Relation to Risk of Ovarian Cancer

We examined the association of sedentary behavior with risk of ovarian cancer overall, by tumor subtype, and by participant characteristics in the Nurses' Health Study (NHS) and Nurses' Health Study II (NHS II). A total of 69,558 NHS participants (1992-2016) and 104,130 NHS II participants (1991-2015) who reported on time spent sitting at home, at work, and while watching television were included in the analysis, which included 884 histologically confirmed ovarian cancer cases. Multivariable-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for ovarian cancer by sitting time (no mutual adjustment for individual sitting types in primary analyses). We examined potential heterogeneity by tumor histological type (type I or II), body mass index (weight (kg)/height (m)2; < 25 or ≥25), and total physical activity (<15 or ≥15 metabolic equivalent of task-hours/week). We observed an increased risk of ovarian cancer for women who sat at work for 10-19 hours/week (HR = 1.25, 95% CI: 1.04, 1.51) and ≥20 hours/week (HR = 1.40, 95% CI: 1.14, 1.71) versus <5 hours/week. This association did not vary by body mass index, physical activity, or histotype (P for heterogeneity ≥ 0.43). No associations were observed for overall sitting, sitting while watching television, or other sitting at home. Longer sitting time at work was associated with elevated risk of ovarian cancer. Further investigations are required to confirm these findings and elucidate underlying mechanisms.

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.

Early life physical activity and risk of ovarian cancer in adulthood

Emerging data suggest that exposures in early life may affect ovarian development and contribute to ovarian cancer risk. We evaluated the association between early life physical activity and risk of ovarian cancer in adulthood in two large prospective cohorts, the Nurses' Health Study (NHS) and NHSII. In total, analyses included 28 232 NHS participants (followed from 2004 to 2016) and 56 553 NHSII participants (followed from 1997 to 2017). Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of ovarian cancer overall and by early life body mass index (BMI). Neither physical activity at ages 12-13, 14-17 or 18-22 years nor average physical activity across these three periods was associated with ovarian cancer risk overall (≥78 vs <24 MET-h/wk, HRs = 1.34, 1.21, 1.08 and 1.24, respectively), or by categories of early life BMI (P_{heterogeneity}  ≥ .44). No association was observed with the risk of high-grade serous or poorly differentiated tumors or postmenopausal ovarian cancer. Overall, early life physical activity was not clearly related to ovarian cancer risk during adulthood.

Early life exposure to tobacco smoke and ovarian cancer risk in adulthood

BACKGROUND

Ovarian cancer risk in adulthood may be affected by early life exposure to tobacco smoke. We investigated this relationship in two large prospective cohorts, the Nurses' Health Study (NHS) and NHSII.

METHODS

In total, analyses included 110 305 NHS participants (1976-2016) and 112 859 NHSII participants (1989-2017). Self-reported early life smoking exposures were queried at baseline or follow-up questionnaires. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of ovarian cancer overall and by tumour histotype.

RESULTS

Overall, ovarian cancer risk was not different among participants whose mothers did versus did not smoke during pregnancy (HR = 1.05, 95% CI: 0.87-1.27); however, an increased risk was observed among women who themselves were never smokers (HR = 1.38, 95% CI: 1.05-1.81) but not among ever smokers (HR = 0.86, 95% CI: 0.66-1.14; Pheterogeneity = 0.02). Compared with women who never smoked, ovarian cancer risk was similar for women who started to smoke at age <18 (HR = 0.98, 95% CI: 0.86-1.11) or ≥18 (HR = 1.02, 95% CI: 0.93-1.12). These associations did not differ by histotype (Pheterogeneity ≥0.35). Parental smoking in the home during childhood/adolescence was related to a 15% increased risk of ovarian cancer in adulthood (HR = 1.15, 95% CI: 1.04-1.27) and this association was suggestively stronger among women with non-serous/low-grade serous tumours (HR = 1.28, 95% CI: 1.02-1.61) versus high-grade serous/poorly differentiated tumours (HR = 1.09, 95% CI: 0.93-1.28; Pheterogeneity = 0.25).

CONCLUSIONS

Exposure to parental tobacco smoke in the home, but not early initiation of smoking, was associated with a modest elevated risk of ovarian cancer. Further investigations are required to confirm these findings and elucidate underlying mechanisms.

Prolactin and Risk of Epithelial Ovarian Cancer

BACKGROUND

Prolactin is synthesized in the ovaries and may play a role in ovarian cancer etiology. One prior prospective study observed a suggestive positive association between prolactin levels and risk of ovarian cancer.

METHODS

We conducted a pooled case-control study of 703 cases and 864 matched controls nested within five prospective cohorts. We used unconditional logistic regression to calculate adjusted odds ratios (OR) and 95% confidence intervals (CI) for the association between prolactin and ovarian cancer risk. We examined heterogeneity by menopausal status at blood collection, body mass index (BMI), age, and histotype.

RESULTS

Among women with known menopausal status, we observed a positive trend in the association between prolactin and ovarian cancer risk (P _trend = 0.045; OR, quartile 4 vs. 1 = 1.34; 95% CI = 0.97-1.85), but no significant association was observed for premenopausal or postmenopausal women individually (corresponding OR = 1.38; 95% CI = 0.74-2.58; P _trend = 0.32 and OR = 1.41; 95% CI = 0.93-2.13; P _trend = 0.08, respectively; P _{heterogeneity} = 0.91). In stratified analyses, we observed a positive association between prolactin and risk for women with BMI ≥ 25 kg/m², but not BMI < 25 kg/m² (corresponding OR = 2.68; 95% CI = 1.56-4.59; P _trend < 0.01 and OR = 0.90; 95% CI = 0.58-1.40; P _trend = 0.98, respectively; P _{heterogeneity} < 0.01). Associations did not vary by age, postmenopausal hormone therapy use, histotype, or time between blood draw and diagnosis.

CONCLUSIONS

We found a trend between higher prolactin levels and increased ovarian cancer risk, especially among women with a BMI ≥ 25 kg/m².

IMPACT

This work supports a previous study linking higher prolactin with ovarian carcinogenesis in a high adiposity setting. Future work is needed to understand the mechanism underlying this association.

Prediagnosis and postdiagnosis leisure time physical activity and survival following diagnosis with ovarian cancer

Little is known about the influence of prediagnosis and postdiagnosis physical activity on ovarian cancer survival. We investigated this association in two large cohorts, the Nurses' Health Study (NHS) and NHSII. Analyses included 1461 women with confirmed invasive, epithelial ovarian cancer and data on physical activity. Cox regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for ovarian cancer-specific mortality. Ovarian cancer-specific mortality was not associated with physical activity reported 1-8 years before diagnosis overall (≥7.5 vs <1.5 MET-hours/week, HR = 0.96), for high-grade serous/ poorly differentiated tumors, or non-serous/ low-grade serous tumors (P-heterogeneity = .45). An inverse association was observed for activity 1-4 years after diagnosis (≥7.5 vs <1.5 MET-hours/week, HR = 0.67, 95%CI: 0.48-0.94), with similar results by histotype (P-heterogeneity = .53). Women who decreased their activity from ≥7.5 MET-hours/week 1-8 years before diagnosis to <7.5 MET-hours/week 1-4 years after diagnosis, compared to those with <7.5 MET-hours/week across periods, had a 49% increased risk of death (HR = 1.49, 95%CI: 1.07-2.08). Physical activity after, but not before, ovarian cancer diagnosis was associated with better prognosis.

"I think that a brief conversation from their provider can go a very long way": Patient and provider perspectives on barriers and facilitators of genetic testing after ovarian cancer

OBJECTIVE

Identify predisposing, enabling, and reinforcing factors impacting genetic counseling/testing among ovarian cancer patients guided by Green and Kreuter's PRECEDE-PROCEED model.

METHODS

Gynecologic oncology providers (N = 4), genetic counselors (N = 4), and ovarian cancer patients (N = 9) completed semi-structured qualitative interviews exploring participants' knowledge of and experiences with genetic counseling/testing. Interviews were audio recorded, transcribed verbatim, and analyzed using inductive content analysis by two independent raters.

RESULTS

Thematic analysis identified predisposing, enabling, and reinforcing factors impacting referral for and uptake of genetic counseling/testing. Predisposing factors included participant's knowledge, beliefs, and attitudes related to genetic counseling/testing. Both patients and providers also cited that insurance coverage and out-of-pocket cost are major concerns for ovarian cancer patients considering genetic testing. Finally, both patients and providers emphasized that genetic counseling/testing would provide additional information to an ovarian cancer patient. While providers emphasized that genetic testing results were useful for informing a patient's personal treatment plan, patients emphasized that this knowledge would be beneficial for their family members.

CONCLUSION

Barriers to genetic testing for ovarian cancer patients exist at multiple levels, including the patient (e.g., knowledge, attitudes), the provider (e.g., workload, availability of services), the institution (e.g., difficulty with referrals/scheduling), and the healthcare system (e.g., insurance/cost). Interventions aiming to increase genetic testing among ovarian cancer patients will likely need to target multiple levels of influence. Future quantitative studies are needed to replicate these results. This line of work will inform specific multilevel intervention strategies that are adaptable to different practice settings, ultimately improving guideline concordant care.

Prospective Analyses of Lifestyle Factors Related to Energy Balance and Ovarian Cancer Risk by Infiltration of Tumor-Associated Macrophages

BACKGROUND

Lifestyle factors related to energy balance have been associated with ovarian cancer risk and influence the tumor immune microenvironment, including tumor-associated macrophages (TAM). However, no studies have assessed whether these factors differentially impact ovarian cancer risk by TAM densities.

METHODS

We conducted a prospective analysis in the Nurses' Health Studies to examine the associations of physical activity, sitting time, and a food-based empirical dietary inflammatory pattern (EDIP) score with invasive epithelial ovarian cancer risk by TAM density assessed by immunohistochemistry. We considered density of CD68 (marker of total TAMs) and CD163 (marker of pro-carcinogenic M2-type TAMs), and their ratios. We used multivariable Cox proportional hazards regression to calculate hazard ratios (HR) and 95% confidence intervals (CI) of exposures with risk of ovarian tumors with high versus low TAMs, including analyses stratified by body mass index.

RESULTS

Analyses included 312 incident ovarian cancer cases with TAM measurements. Physical activity, sitting time, and EDIP score were not differentially associated with ovarian cancer risk by TAM densities (P heterogeneity > 0.05). Among overweight and obese women, higher EDIP score was associated with increased risk of CD163 low-density tumors (HR comparing extreme tertiles, 1.57; 95% CI, 0.88-2.80; P trend = 0.01), but not CD163 high-density tumors (comparable HR, 1.16; 95% CI, 0.73-1.86; P trend = 0.24), though this difference was not statistically significant (P heterogeneity = 0.22).

CONCLUSIONS

We did not observe differential associations between lifestyle factors and ovarian cancer risk by TAM densities.

IMPACT

Future investigations examining the interplay between other ovarian cancer risk factors and the tumor immune microenvironment may help provide insight into ovarian cancer etiology.

Early Life Exposure to Tobacco Smoke and Ovarian Cancer Risk in Adulthood

Background: Ovarian cancer risk in adulthood may be affected by early life exposure to tobacco smoke. We investigated this relationship in two large prospective cohorts, the Nurses' Health Study (NHS) and NHSII. Methods: In total, analyses included 110,305 NHS participants (1976–2016) and 112,859 NHSII participants (1989–2017). Self-reported early life smoking exposures were queried at baseline or follow-up questionnaires. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of ovarian cancer overall and by tumor histotype. Results: Compared with women who never smoked, ovarian cancer risk was similar for women who started to smoke at age &lt;18 (HR = 0.98, 95%CI: 0.86–1.11) or ≥18 (HR = 1.02, 95%CI: 0.93–1.12). Overall, ovarian cancer risk was not different among participants whose mother did versus did not smoke during pregnancy (HR = 1.05, 95%CI: 0.87–1.27); however, an increased risk was observed among women who themselves were never smokers (HR = 1.38, 95%CI: 1.05–1.81) but not ever smokers (HR = 0.86, 95%CI: 0.66–1.14; Pheterogeneity = 0.02). These associations did not differ by histotype (Pheterogeneity≥0.35). Parental smoking in the home during childhood/adolescence was related to a 15% increased risk of ovarian cancer in adulthood (HR = 1.15, 95%CI: 1.04–1.27) and this association was notably stronger among women with non-serous/ low- grade serous tumors (HR = 1.28, 95%CI: 1.02–1.61) versus high-grade serous/ poorly differentiated tumors (HR = 1.09, 95%CI: 0.93–1.28, Pheterogeneity = 0.25). Conclusions: Exposure to parental tobacco smoke, but not early initiation of smoking, was associated with a modest elevated risk of ovarian cancer. Further investigations are required to confirm these findings and elucidate underlying mechanisms.

Intrauterine device use and risk of ovarian cancer: Results from the New England Case-Control study and Nurses' Health Studies

Results of studies assessing intrauterine device (IUD) use and ovarian cancer risk are inconsistent. We examined the association between IUD use, including duration, type and timing of use, and ovarian cancer risk using three population-based studies. Data from the New England Case-Control Study (NEC) and two prospective cohort studies, the Nurses' Health Studies (NHS/NHSII), were included in the analysis. Information on IUD use was collected by in-person interview in NEC and by biennial questionnaire in NHS/NHSII. We used unconditional logistic regression to calculate odds ratios (OR) and 95% confidence intervals (CI) in NEC and Cox regression to calculate hazard ratios (HR) and 95% CI in NHS/NHSII. We used meta-analysis to combine the NEC and the pooled NHS/NHSII results. Overall, IUD use was not associated with epithelial ovarian cancer risk (OR = 0.96, 95% CI: 0.81-1.14 in NEC; HR = 0.89, 95% CI: 0.69-1.15 in NHS/NHSII; combined RR = 0.94, 95% CI: 0.81-1.08). Among IUD users, older age at first use was associated with increased ovarian cancer risk (P-trend = .03). We did not observe significant associations by IUD type or duration of use. In conclusion, IUD use was not associated with ovarian cancer risk in our study.

The association of resistance training with risk of ovarian cancer

Background

Increasing evidence, including multiple putative inflammatory risk factors (e.g., c‐reactive protein, and adiposity), supports that inflammation plays an important role in ovarian carcinogenesis. Resistance training (RT) is associated with lower levels of circulating inflammatory markers, independent of physical activity.

Methods

We evaluated the relationship between RT and risk of ovarian cancer accounting for other physical activity (e.g., walking) in two large prospective cohorts, the Nurses’ Health Study (NHS) and NHSII.

Key Results

In total, analyses included 42,005 NHS participants (2000–2016) and 67,289 NHSII participants (2001–2017) with RT assessed every 4 years. Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of RT with ovarian cancer risk overall and by tumor subtype, adjusting for known and putative ovarian cancer risk factors. We identified a total of 609 cases over 1,748,884 person‐years. No association was observed with overall ovarian cancer risk (RT ≥60 vs 0 min/wk, HR = 0.95, 95%CI: 0.74–1.22) or by histotype (comparable HR = 0.86 and 0.98 for type I and II tumors, respectively). Results did not differ by body mass index (Pinteraction = 0.97), or other physical activity (Pinteraction = 0.31).

Conclusions & Inferences

We observed no evidence that moderate levels of RT were associated with risk of ovarian cancer. Further investigations are required to confirm these findings.

Circulating Biomarkers of Inflammation and Ovarian Cancer Risk in the Nurses' Health Studies

BACKGROUND

Chronic inflammation is a well-established mechanism of ovarian carcinogenesis; however, the specific immunogenic processes influencing ovarian tumor development remain unclear. In a case-control study nested within the Nurses' Health Study (NHS) and the NHSII, we examined the association between six inflammatory chemokines and cytokines [B-cell activating factor (BAFF), C-X-C motif chemokine ligand 13 (CXCL13), IL8, soluble(s)IL2-receptor-α(Rα), sIL6Rα] and epithelial ovarian cancer risk.

METHODS

Among 299 epithelial ovarian cancer cases and 334 matched controls, six inflammatory biomarkers were measured in plasma collected 1-24 years before diagnosis or index date using two custom multiplex Luminex panels. ORs and 95% confidence intervals (CI) were estimated for the association between each biomarker and risk using multivariable conditional logistic regression with adjustment for relevant confounders. We additionally assessed heterogeneity in the risk associations by histotype [high-grade serous carcinoma (HGSC) vs. non-HGSC], body mass index, smoking status, menopausal status, and aspirin use.

RESULTS

Women with the highest versus lowest quartile (Q) levels of CXCL13 had a 72% increased ovarian cancer risk (OR = 1.72; 95% CI = 1.04-2.83; P _trend = 0.007). The positive association with CXCL13 was stronger in magnitude for non-HGSC, overweight or obese women, and postmenopausal women, although only menopausal status demonstrated statistically significant heterogeneity (P _interaction = 0.04). The remaining biomarkers were not associated with risk.

CONCLUSIONS

This first evidence that prediagnostic CXCL13, a B-cell chemoattractant, is associated with an increased risk of epithelial ovarian cancer expands current understanding of the role of inflammation in ovarian carcinogenesis.

IMPACT

CXCL13 may represent a novel biomarker for ovarian cancer.

IgA transcytosis and antigen recognition govern ovarian cancer immunity

Most ovarian cancers are infiltrated by prognostically relevant activated T cells^1–3, yet exhibit low response rates to immune checkpoint inhibitors⁴. Memory B cell and plasma cell infiltrates have previously been associated with better outcomes in ovarian cancer^5,6, but the nature and functional relevance of these responses are controversial. Here, using 3 independent cohorts that in total comprise 534 patients with high-grade serous ovarian cancer, we show that robust, protective humoral responses are dominated by the production of polyclonal IgA, which binds to polymeric IgA receptors that are universally expressed on ovarian cancer cells. Notably, tumour B-cell-derived IgA redirects myeloid cells against extracellular oncogenic drivers, which causes tumour cell death. In addition, IgA transcytosis through malignant epithelial cells elicits transcriptional changes that antagonize the RAS pathway and sensitize tumour cells to cytolytic killing by T cells, which also contributes to hindering malignant progression. Thus, tumour-antigen-specific and -antigen-independent IgA responses antagonize the growth of ovarian cancer by governing coordinated tumour cell, T cell and B cell responses. These findings provide a platform for identifying targets that are spontaneously recognized by intratumoural B-cell-derived antibodies, and suggest that immunotherapies that augment B cell responses may be more effective than approaches that focus on T cells, particularly for malignancies that are resistant to checkpoint inhibitors.

In patients with high-grade serous ovarian cancer, robust and protective humoral responses are dominated by B-cell-derived polyclonal IgA that binds to polymeric IgA receptors that are universally expressed on ovarian cancer cells.

A lipid-related metabolomic pattern of diet quality

BACKGROUND

Adherence to a healthy diet has been associated with reduced risk of chronic diseases. Identifying nutritional biomarkers of diet quality may be complementary to traditional questionnaire-based methods and may provide insights concerning disease mechanisms and prevention.

OBJECTIVE

To identify metabolites associated with diet quality assessed via the Alternate Healthy Eating Index (AHEI) and its components.

METHODS

This cross-sectional study used FFQ data and plasma metabolomic profiles, mostly lipid related, from the Nurses' Health Study (NHS, n = 1460) and Health Professionals Follow-up Study (HPFS, n = 1051). Linear regression models assessed associations of the AHEI and its components with individual metabolites. Canonical correspondence analyses (CCAs) investigated overlapping patterns between AHEI components and metabolites. Principal component analysis (PCA) and explanatory factor analysis were used to consolidate correlated metabolites into uncorrelated factors. We used stepwise multivariable regression to create a metabolomic score that is an indicator of diet quality.

RESULTS

The AHEI was associated with 83 metabolites in the NHS and 96 metabolites in the HPFS after false discovery rate adjustment. Sixty-three of these significant metabolites overlapped between the 2 cohorts. CCA identified "healthy" AHEI components (e.g., nuts, whole grains) and metabolites (n = 27 in the NHS and 33 in the HPFS) and "unhealthy" AHEI components (e.g., red meat, trans fat) and metabolites (n = 56 in the NHS and 63 in the HPFS). PCA-derived factors composed of highly saturated triglycerides, plasmalogens, and acylcarnitines were associated with unhealthy AHEI components while factors composed of highly unsaturated triglycerides were linked to healthy AHEI components. The stepwise regression analysis contributed to a metabolomics score as a predictor of diet quality.

CONCLUSION

We identified metabolites associated with healthy and unhealthy eating behaviors. The observed associations were largely similar between men and women, suggesting that metabolomics can be a complementary approach to self-reported diet in studies of diet and chronic disease.

Estrogen Receptor-β Expression of Ovarian Tumors and Its Association with Ovarian Cancer Risk Factors

BACKGROUND

Differential associations between ovarian cancer risk factors and estrogen receptor-α (ERα) ovarian tumor expression have been noted; however, no research has assessed estrogen receptor-β (ERβ) expression. Thus, in exploratory analyses, we assessed the association of several factors with ovarian cancer risk by ERβ tumor status.

METHODS

We conducted a nested case-control study within the prospective Nurses' Health Study cohorts (NHS/NHSII), with exposures collected through biennial questionnaires. Paraffin-embedded tumor blocks were requested for cases diagnosed from 1976 to 2006 (NHS) and 1989 to 2005 (NHSII) and tissue microarrays were stained for nuclear ERβ (ERβ-nuc) and cytoplasmic ERβ (ERβ-cyto), with any staining considered positive (+). We obtained odds ratios (OR) and 95% confidence intervals (CI) using multivariate polytomous logistic regression.

RESULTS

We included 245 cases [43% ERβ-cyto (+) and 71% ERβ-nuc (+)] and 1,050 matched controls. An inverse association was observed between parity and risk of ERβ-nuc (+) (OR, parous vs. nulliparous: 0.46; 95% CI, 0.26-0.81), but not ERβ-nuc (-) tumors (OR, parous vs. nulliparous: 1.51; 95% CI, 0.45-5.04; P _{heterogeneity} = 0.04). Conversely, parity was inversely associated with ERβ-cyto (-) tumors (OR, parous vs. nulliparous: 0.42; 95% CI, 0.23-0.78), but was not associated with ERβ-cyto (+) tumors (OR, parous vs. nulliparous: 1.08; 95% CI, 0.45-2.63; P _{heterogeneity} = 0.05). Associations for other exposures, including hormone therapy, did not differ by ERβ-nuc or ERβ-cyto status.

CONCLUSIONS

Our results suggest that parity may influence ovarian cancer risk, in part, through alterations in ERβ localization within tumor cells.

IMPACT

Alterations in ERβ expression and localization appear to be important for ovarian cancer etiology. Future research should confirm our results and assess potential biologic mechanisms for the observed associations.

The Risk of Ovarian Cancer Increases with an Increase in the Lifetime Number of Ovulatory Cycles: An Analysis from the Ovarian Cancer Cohort Consortium (OC3)

Repeated exposure to the acute proinflammatory environment that follows ovulation at the ovarian surface and distal fallopian tube over a woman's reproductive years may increase ovarian cancer risk. To address this, analyses included individual-level data from 558,709 naturally menopausal women across 20 prospective cohorts, among whom 3,246 developed invasive epithelial ovarian cancer (2,045 serous, 319 endometrioid, 184 mucinous, 121 clear cell, 577 other/unknown). Cox models were used to estimate multivariable-adjusted HRs between lifetime ovulatory cycles (LOC) and its components and ovarian cancer risk overall and by histotype. Women in the 90th percentile of LOC (>514 cycles) were almost twice as likely to be diagnosed with ovarian cancer than women in the 10th percentile (<294) [HR (95% confidence interval): 1.92 (1.60-2.30)]. Risk increased 14% per 5-year increase in LOC (60 cycles) [(1.10-1.17)]; this association remained after adjustment for LOC components: number of pregnancies and oral contraceptive use [1.08 (1.04-1.12)]. The association varied by histotype, with increased risk of serous [1.13 (1.09-1.17)], endometrioid [1.20 (1.10-1.32)], and clear cell [1.37 (1.18-1.58)], but not mucinous [0.99 (0.88-1.10), P-heterogeneity = 0.01] tumors. Heterogeneity across histotypes was reduced [P-heterogeneity = 0.15] with adjustment for LOC components [1.08 serous, 1.11 endometrioid, 1.26 clear cell, 0.94 mucinous]. Although the 10-year absolute risk of ovarian cancer is small, it roughly doubles as the number of LOC rises from approximately 300 to 500. The consistency and linearity of effects strongly support the hypothesis that each ovulation leads to small increases in the risk of most ovarian cancers, a risk that cumulates through life, suggesting this as an important area for identifying intervention strategies. SIGNIFICANCE: Although ovarian cancer is rare, risk of most ovarian cancers doubles as the number of lifetime ovulatory cycles increases from approximately 300 to 500. Thus, identifying an important area for cancer prevention research.

Patterns and predictors of genetic referral among ovarian cancer patients at a National Cancer Institute-Comprehensive Cancer Center

Germline mutations (eg, BRCA1/2) have prognostic and treatment implications for ovarian cancer (OVCA) patients. Thus, national guidelines recommend genetic testing for OVCA patients. The present study examines patterns and predictors of genetics referral in OVCA patients. Electronic medical record data were abstracted retrospectively from 557 OVCA patients treated from 1 January 2001 to 31 December 2015. Logistic regression models identified sociodemographic characteristics, disease/treatment characteristics, family history data, provider characteristics, and survival data that predicted genetics referral. Overall, 27.5% of patients received referral. Eleven variables predicting referral were selected during stepwise regression: younger age, White race, not having private insurance, professional school education, year of OVCA diagnosis, platinum sensitivity, female gynecologic oncologist, chemotherapy administered by a gynecologic oncologist, clinical trial enrollment, longer overall survival, and family history of OVCA. Genetics referral among OVCA patients was similar to rates reported nationwide. Unique predictive factors will contribute to quality improvement and should be validated at a multi-institutional level to ensure guideline concordant care is provided to all OVCA patients. Future research should identify both patient-level and provider-level factors associated with genetics referral.

Reproductive and Hormonal Factors and Risk of Ovarian Cancer by Tumor Dominance: Results from the Ovarian Cancer Cohort Consortium (OC3)

BACKGROUND

Laterality of epithelial ovarian tumors may reflect the underlying carcinogenic pathways and origins of tumor cells.

METHODS

We pooled data from 9 prospective studies participating in the Ovarian Cancer Cohort Consortium. Information on measures of tumor size or tumor dominance was extracted from surgical pathology reports or obtained through cancer registries. We defined dominant tumors as those restricted to one ovary or where the dimension of one ovary was at least twice as large as the other, and nondominant tumors as those with similar dimensions across the two ovaries or peritoneal tumors. Competing risks Cox models were used to examine whether associations with reproductive and hormonal risk factors differed by ovarian tumor dominance.

RESULTS

Of 1,058 ovarian cancer cases with tumor dominance information, 401 were left-dominant, 363 were right-dominant, and 294 were nondominant. Parity was more strongly inversely associated with risk of dominant than nondominant ovarian cancer (P heterogeneity = 0.004). Ever use of oral contraceptives (OC) was associated with lower risk of dominant tumors, but was not associated with nondominant tumors (P heterogeneity = 0.01). Higher body mass index was associated with higher risk of left-dominant tumors, but not significantly associated with risk of right-dominant or nondominant tumors (P heterogeneity = 0.08).

CONCLUSIONS

These data suggest that reproductive and hormonal risk factors appear to have a stronger impact on dominant tumors, which may have an ovarian or endometriosis origin.

IMPACT

Examining the associations of ovarian cancer risk factors by tumor dominance may help elucidate the mechanisms through which these factors influence ovarian cancer risk.

Prediagnosis and postdiagnosis smoking and survival following diagnosis with ovarian cancer

Little is known about the influence of prediagnosis and postdiagnosis smoking and smoking cessation on ovarian cancer survival. We investigated this relationship in two prospective cohort studies, the Nurses' Health Study (NHS) and NHSII. Analyses included 1,279 women with confirmed invasive, Stage I-III epithelial ovarian cancer. We used Cox proportional hazards regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for ovarian cancer-specific mortality by smoking status, adjusting for age and year of diagnosis, tumor stage, histologic subtype, body mass index and nonsteroidal anti-inflammatory use (postdiagnosis models only). When examining prediagnosis smoking status (assessed a median of 12 months before diagnosis), risk of death was significantly increased for former smokers (HR = 1.19, 95% CI: 1.02-1.39), and suggestively for current smokers (HR = 1.21, 95% CI: 0.96-1.51) vs. never smokers. Longer smoking duration (≥20 years vs. never, HR = 1.23, 95% CI: 1.05-1.45) and higher pack-years (≥20 pack-years vs. never, HR = 1.28, 95% CI: 1.07-1.52) were also associated with worse outcome. With respect to postdiagnosis exposure, women who smoked ≥15 cigarettes per day after diagnosis (assessed a median of 11 months after diagnosis) had increased mortality compared to never smokers (HR = 2.34, 95% CI: 1.63-3.37). Those who continued smoking after diagnosis had 40% higher mortality (HR = 1.40, 95% CI: 1.05-1.87) compared to never smokers. Overall, our results suggest both prediagnosis and postdiagnosis smoking are associated with worse ovarian cancer outcomes.

Abstract DP-014: LIFETIME NUMBER OF OVULATORY CYCLES ARE DIFFERENTIALLY ASSOCIATED WITH OVARIAN CANCER HISTOTYPES: AN ANALYSIS FROM THE OVARIAN CANCER COHORT CONSORTIUM (OC3)

BACKGROUND: Epidemiologic studies have consistently observed reduced ovarian cancer risks with higher parity and oral contraceptive use. Increased risks with younger age at menarche and older age at menopause have also been reported. Furthermore, it has been demonstrated that an acute pro-inflammatory environment is created following ovulation at the surface of the ovary and within the distal fallopian tube, whereby both are bathed in follicular fluid containing inflammatory cytokines, reactive oxygen species, and steroids, creating a DNA damage-rich environment and thereby supporting the possible role of incessant ovulation in ovarian carcinogenesis. Consistent with this, greater lifetime ovulatory cycles (LOC) have been associated with increased ovarian cancer risk in numerous studies, however the etiologic heterogeneity of this association has not been resolved. It is difficult to measure LOCs directly, but estimates of the cumulative sum of a woman's ovulatory cycles can be obtained through mathematical algorithms that calculate the time between menopause and menarche (menstrual span) and subtract anovulatory cycles, i.e., durations of oral contraceptive use and pregnancy.

AIM: To investigate the association of LOC and its components with ovarian cancer (overall and by histotype) using prospective individual-level data from the Ovarian Cancer Cohort Consortium (OC3).

METHODS: We analyzed data from 23 prospective cohort studies including 3,866 ovarian cancer cases diagnosed among 618,175 naturally menopausal women. Cases included 2288 serous, 352 endometrioid, 210 mucinous, and 137 clear cell tumors, and 879 other epithelial/unknown tumors. We evaluated associations between LOC, individual components of LOC (menstrual span, pregnancy, oral contraceptive use), and ovarian cancer using Cox regression stratified by study and adjusted for potential confounders; histotype analyses were conducted using competing-risks Cox regression.

RESULTS: In models evaluating the overall LOC effect (without adjustment for component factors), women in the 90th percentile of LOC (&gt;511) were almost twice as likely to be diagnosed with ovarian cancer during follow-up than women in the 10th percentile (&lt;295 cycles) [hazard ratio (HR) (95% confidence interval (CI): 1.92 (1.62-2.62)]. Per one-year increase in LOC (12 cycles), ovarian cancer risk was increased by 2.5% [1.025 (1.02-1.03)]. This association was heterogenous by histotype; a one-year increase in LOC was associated with increased risk of serous [1.026 (1.02-1.03)], endometrioid [1.04 (1.02-1.06)], and clear cell tumors [1.07 (1.04-1.10)], while no association was observed for mucinous tumors [1.00 (0.98-1.02), p-heterogeneity&lt;0.01]. Adjusting for LOC-components, pregnancy and oral contraceptive use, the LOC-ovarian cancer association remained but was attenuated [per year LOC: 1.014 (1.007-1.02)]. The associations were more similar across histotypes in adjusted models (1.02 serous, 1.03 endometrioid, 1.05 clear cell; p-values&lt;0.05), likely due to accounting for stronger risk reductions associated with prior pregnancy among endometrioid and clear cell tumors than serous tumors.

CONCLUSIONS: In this large prospective analysis of pooled cohort study data we observed positive associations between increased LOC and risk of serous, endometrioid, and clear cell tumors, independent of the associations with individual LOC components. Our data provide support for the hypothesis that incessant ovulation contributes to the etiology of these ovarian cancer histotypes, and further supports the etiologic heterogeneity of ovarian cancers.

Citation Format: Britton Trabert, Mary K. Townsend, Renée T. Fortner, Kala Visvanathan, Shelley S. Tworoger, Nicolas Wentzensen, on behalf of the Ovarian Cancer Cohort Consortium (OC3). LIFETIME NUMBER OF OVULATORY CYCLES ARE DIFFERENTIALLY ASSOCIATED WITH OVARIAN CANCER HISTOTYPES: AN ANALYSIS FROM THE OVARIAN CANCER COHORT CONSORTIUM (OC3) [abstract]. In: Proceedings of the 12th Biennial Ovarian Cancer Research Symposium; Sep 13-15, 2018; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2019;25(22 Suppl):Abstract nr DP-014.

High Levels of C-Reactive Protein Are Associated with an Increased Risk of Ovarian Cancer: Results from the Ovarian Cancer Cohort Consortium

Growing epidemiologic evidence supports chronic inflammation as a mechanism of ovarian carcinogenesis. An association between a circulating marker of inflammation, C-reactive protein (CRP), and ovarian cancer risk has been consistently observed, yet, potential heterogeneity of this association by tumor and patient characteristics has not been adequately explored. In this study, we pooled data from case-control studies nested within six cohorts in the Ovarian Cancer Cohort Consortium (OC3) to examine the association between CRP and epithelial ovarian cancer risk overall, by histologic subtype and by participant characteristics. CRP concentrations were measured from prediagnosis serum or plasma in 1,091 cases and 1,951 controls. Multivariable conditional logistic regression was used to estimate ORs and 95% confidence intervals (CI). When CRP was evaluated using tertiles, no associations with ovarian cancer risk were observed. A 67% increased ovarian cancer risk was found for women with CRP concentrations >10 mg/L compared with <1 mg/L (OR = 1.67; 95% CI = 1.12-2.48). A CRP concentration >10 mg/L was positively associated with risk of mucinous (OR = 9.67; 95% CI = 1.10-84.80) and endometrioid carcinoma (OR = 3.41; 95% CI = 1.07-10.92), and suggestively positive, although not statistically significant, for serous (OR = 1.43; 95% CI = 0.82-2.49) and clear cell carcinoma (OR = 2.05; 95% CI = 0.36-11.57; P heterogeneity = 0.20). Heterogeneity was observed with oral contraceptive use (P interaction = 0.03), where the increased risk was present only among ever users (OR = 3.24; 95% CI = 1.62-6.47). This study adds to the existing evidence that CRP plays a role in ovarian carcinogenesis and suggests that inflammation may be particularly implicated in the etiology of endometrioid and mucinous carcinoma. SIGNIFICANCE: C-reactive protein is involved in ovarian carcinogenesis, and chronic inflammation may be particularly implicated in the etiology of mucinous and endometrioid carcinomas.

Ovarian cancer risk factors by tumor aggressiveness: An analysis from the Ovarian Cancer Cohort Consortium

Ovarian cancer risk factors differ by histotype; however, within subtype, there is substantial variability in outcomes. We hypothesized that risk factor profiles may influence tumor aggressiveness, defined by time between diagnosis and death, independent of histology. Among 1.3 million women from 21 prospective cohorts, 4,584 invasive epithelial ovarian cancers were identified and classified as highly aggressive (death in <1 year, n = 864), very aggressive (death in 1 to < 3 years, n = 1,390), moderately aggressive (death in 3 to < 5 years, n = 639), and less aggressive (lived 5+ years, n = 1,691). Using competing risks Cox proportional hazards regression, we assessed heterogeneity of associations by tumor aggressiveness for all cases and among serous and endometrioid/clear cell tumors. Associations between parity (p_het = 0.01), family history of ovarian cancer (p_het = 0.02), body mass index (BMI; p_het ≤ 0.04) and smoking (p_het < 0.01) and ovarian cancer risk differed by aggressiveness. A first/single pregnancy, relative to nulliparity, was inversely associated with highly aggressive disease (HR: 0.72; 95% CI [0.58-0.88]), no association was observed for subsequent pregnancies (per pregnancy, 0.97 [0.92-1.02]). In contrast, first and subsequent pregnancies were similarly associated with less aggressive disease (0.87 for both). Family history of ovarian cancer was only associated with risk of less aggressive disease (1.94 [1.47-2.55]). High BMI (≥35 vs. 20 to < 25 kg/m² , 1.93 [1.46-2.56] and current smoking (vs. never, 1.30 [1.07-1.57]) were associated with increased risk of highly aggressive disease. Results were similar within histotypes. Ovarian cancer risk factors may be directly associated with subtypes defined by tumor aggressiveness, rather than through differential effects on histology. Studies to assess biological pathways are warranted.

Identification of Plasma Lipid Metabolites Associated with Nut Consumption in US Men and Women

BACKGROUND

Intake of nuts has been inversely associated with risk of type 2 diabetes and cardiovascular disease, partly through inducing a healthy lipid profile. How nut intake may affect lipid metabolites remains unclear.

OBJECTIVE

The aim of this study was to identify the plasma lipid metabolites associated with habitual nut consumption in US men and women.

METHODS

We analyzed cross-sectional data from 1099 participants in the Nurses' Health Study (NHS), NHS II, and Health Professionals Follow-up Study. Metabolic profiling was conducted on plasma by LC-mass spectrometry. Nut intake was estimated from food-frequency questionnaires. We included 144 known lipid metabolites that had CVs ≤25%. Multivariate linear regression was used to assess the associations of nut consumption with individual plasma lipid metabolites.

RESULTS

We identified 17 lipid metabolites that were significantly associated with nut intake, based on a 1 serving (28 g)/d increment in multivariate models [false discovery rate (FDR) P value <0.05]. Among these species, 8 were positively associated with nut intake [C24:0 sphingomyelin (SM), C36:3 phosphatidylcholine (PC) plasmalogen-A, C36:2 PC plasmalogen, C24:0 ceramide, C36:1 PC plasmalogen, C22:0 SM, C34:1 PC plasmalogen, and C36:2 phosphatidylethanolamine plasmalogen], with changes in relative metabolite level (expressed in number of SDs on the log scale) ranging from 0.36 to 0.46 for 1 serving/d of nuts. The other 9 metabolites were inversely associated with nut intake with changes in relative metabolite level ranging from -0.34 to -0.44. In stratified analysis, 3 metabolites were positively associated with both peanuts and peanut butter (C24:0 SM, C24:0 ceramide, and C22:0 SM), whereas 6 metabolites were inversely associated with other nuts (FDR P value <0.05).

CONCLUSIONS

A panel of lipid metabolites was associated with intake of nuts, which may provide insight into biological mechanisms underlying associations between nuts and cardiometabolic health. Metabolites that were positively associated with intake of nuts may be helpful in identifying potential biomarkers of nut intake.

Ovarian cancer risk factors by tumor aggressiveness: An analysis from the Ovarian Cancer Cohort Consortium

Ovarian cancer risk factors differ by histotype; however, within subtype, there is substantial variability in outcomes. We hypothesized that risk factor profiles may influence tumor aggressiveness, defined by time between diagnosis and death, independent of histology. Among 1.3 million women from 21 prospective cohorts, 4,584 invasive epithelial ovarian cancers were identified and classified as highly aggressive (death in <1 year, n = 864), very aggressive (death in 1 to < 3 years, n = 1,390), moderately aggressive (death in 3 to < 5 years, n = 639), and less aggressive (lived 5+ years, n = 1,691). Using competing risks Cox proportional hazards regression, we assessed heterogeneity of associations by tumor aggressiveness for all cases and among serous and endometrioid/clear cell tumors. Associations between parity (phet = 0.01), family history of ovarian cancer (phet = 0.02), body mass index (BMI; phet ≤ 0.04) and smoking (phet < 0.01) and ovarian cancer risk differed by aggressiveness. A first/single pregnancy, relative to nulliparity, was inversely associated with highly aggressive disease (HR: 0.72; 95% CI [0.58-0.88]), no association was observed for subsequent pregnancies (per pregnancy, 0.97 [0.92-1.02]). In contrast, first and subsequent pregnancies were similarly associated with less aggressive disease (0.87 for both). Family history of ovarian cancer was only associated with risk of less aggressive disease (1.94 [1.47-2.55]). High BMI (≥35 vs. 20 to < 25 kg/m2 , 1.93 [1.46-2.56] and current smoking (vs. never, 1.30 [1.07-1.57]) were associated with increased risk of highly aggressive disease. Results were similar within histotypes. Ovarian cancer risk factors may be directly associated with subtypes defined by tumor aggressiveness, rather than through differential effects on histology. Studies to assess biological pathways are warranted.

Ovarian cancer risk factors by tumor aggressiveness: An analysis from the Ovarian Cancer Cohort Consortium

Ovarian cancer risk factors differ by histotype; however, within subtype, there is substantial variability in outcomes. We hypothesized that risk factor profiles may influence tumor aggressiveness, defined by time between diagnosis and death, independent of histology. Among 1.3 million women from 21 prospective cohorts, 4,584 invasive epithelial ovarian cancers were identified and classified as highly aggressive (death in <1 year, n = 864), very aggressive (death in 1 to < 3 years, n = 1,390), moderately aggressive (death in 3 to < 5 years, n = 639), and less aggressive (lived 5+ years, n = 1,691). Using competing risks Cox proportional hazards regression, we assessed heterogeneity of associations by tumor aggressiveness for all cases and among serous and endometrioid/clear cell tumors. Associations between parity (p_het = 0.01), family history of ovarian cancer (p_het = 0.02), body mass index (BMI; p_het ≤ 0.04) and smoking (p_het < 0.01) and ovarian cancer risk differed by aggressiveness. A first/single pregnancy, relative to nulliparity, was inversely associated with highly aggressive disease (HR: 0.72; 95% CI [0.58-0.88]), no association was observed for subsequent pregnancies (per pregnancy, 0.97 [0.92-1.02]). In contrast, first and subsequent pregnancies were similarly associated with less aggressive disease (0.87 for both). Family history of ovarian cancer was only associated with risk of less aggressive disease (1.94 [1.47-2.55]). High BMI (≥35 vs. 20 to < 25 kg/m² , 1.93 [1.46-2.56] and current smoking (vs. never, 1.30 [1.07-1.57]) were associated with increased risk of highly aggressive disease. Results were similar within histotypes. Ovarian cancer risk factors may be directly associated with subtypes defined by tumor aggressiveness, rather than through differential effects on histology. Studies to assess biological pathways are warranted.

Elucidating Under-Studied Aspects of the Link Between Obesity and Multiple Myeloma: Weight Pattern, Body Shape Trajectory, and Body Fat Distribution

Background

Although obesity is an established modifiable risk factor for multiple myeloma (MM), several nuanced aspects of its relation to MM remain unelucidated, limiting public health and prevention messages.

Methods

We analyzed prospective data from the Nurses' Health Study and Health Professionals Follow-Up Study to examine MM risk associated with 20-year weight patterns in adulthood, body shape trajectory from ages 5 to 60 years, and body fat distribution. For each aforementioned risk factor, we report hazard ratios (HRs) and 95% confidence intervals (CIs) for incident MM from multivariable Cox proportional-hazards models.

Results

We documented 582 incident MM cases during 4 280 712 person-years of follow-up. Persons who exhibited extreme weight cycling, for example, those with net weight gain and one or more episodes of intentional loss of at least 20 pounds or whose cumulative intentional weight loss exceeded net weight loss with at least one episode of intentional loss of 20 pounds or more had an increased MM risk compared with individuals who maintained their weight (HR = 1.71, 95% CI = 1.05 to 2.80); the association was statistically nonsignificant after adjustment for body mass index. We identified four body shape trajectories: lean-stable, lean-increase, medium-stable, and medium-increase. MM risk was higher in the medium-increase group than in the lean-stable group (HR = 1.62, 95% CI = 1.22 to 2.14). Additionally, MM risk increased with increasing hip circumference (HR per 1-inch increase: 1.03, 95% CI = 1.01 to 1.06) but was not associated with other body fat distribution measures.

Conclusions

Maintaining a lean and stable weight throughout life may provide the strongest benefit in terms of MM prevention.

The Spectrum of Bladder Health: The Relationship Between Lower Urinary Tract Symptoms and Interference with Activities

Background: Little research to date has focused on lower urinary tract symptom (LUTS) prevention and bladder health promotion in women. To address this gap, the Prevention of LUTS Research Consortium developed the following working bladder health definition: "A complete state of physical, mental, and social well-being related to bladder function [that] permits daily activities [and] allows optimal well-being." To begin to inform and quantify this definition, we used data from the Boston Area Community Health Survey, drawing upon its rare collection of information on LUTS and LUTS-specific interference with activities. Methods: At baseline, participants reported their frequency of 15 LUTS and interference with 7 activities. Prevalence ratios (PRs) were calculated by generalized linear models with robust variance estimation, adjusting for LUTS risk factors and individual LUTS. Results: Of the 3169 eligible participants, 17.5% reported no LUTS or interference, whereas the remaining 82.5% reported some frequency of LUTS/interference: 15.1% rarely; 21.7% a few times; 22.6% fairly often/usually; and 22.9% almost always. LUTS independently associated with interference were urgency incontinence, any incontinence, urgency, nocturia, perceived frequency, and urinating again after <2 hours (PRs = 1.2-1.5, all p < 0.05). Conclusions: Our findings suggest that bladder health exists on a continuum, with approximately one in five women considered to have optimal bladder health (no LUTS/interference), the majority to have intermediate health (LUTS/interference rarely to usually), and a further one in five to have worse or poor health (LUTS/interference almost always). These findings underscore the need for LUTS prevention and bladder health promotion.

Surgical prevention strategies in ovarian cancer

Given the current lack of effective screening for ovarian cancer, surgical removal of at-risk tissue is the most successful strategy to decrease risk of cancer development. However, the optimal timing of surgery and tissues to remove, as well as the appropriate patients to undergo preventive procedures are poorly understood. In this review, we first discuss the origin and precursors of ovarian epithelial carcinomas, focusing on high-grade serous carcinomas and endometriosis-associated carcinomas, which cause the majority of the mortality and incidence of ovarian cancer. In addition, we summarize the implications of current understanding of specific pathogenic origins for surgical prevention and remaining gaps in knowledge. Secondly, we review evidence from the epidemiologic literature on the associations of various surgical prevention strategies, including endometriosis excision, tubal procedures, and bilateral salpingo-oophorectomy, with risk of future ovarian cancer development, as well as the short- and long-term consequences of these strategies on women's health and quality and life. We conclude with recommendations for surgical prevention in women with high-risk genetic mutations and average-risk women, and a brief discussion of ongoing research that will help clarify optimal surgical approaches that balance risk-reduction with maintenance of women's quality of life.

A prospective study of the natural history of urinary incontinence in women

BACKGROUND

Symptoms of urinary incontinence are commonly perceived to vary over time; yet, there is limited quantitative evidence regarding the natural history of urinary incontinence, especially over the long term.

OBJECTIVE

We sought to delineate the course of urinary incontinence symptoms over time, using 2 large cohorts of middle-aged and older women, with data collected over 10 years.

STUDY DESIGN

We studied 9376 women from the Nurses' Health Study, age 56-81 years at baseline, and 7491 women from the Nurses' Health Study II, age 39-56 years, with incident urinary incontinence in 2002 through 2003. Urinary incontinence severity was measured by the Sandvik severity index. We tracked persistence, progression, remission, and improvement of symptoms over 10 years. We also examined risk factors for urinary incontinence progression using logistic regression models.

RESULTS

Among women age 39-56 years, 39% had slight, 45% had moderate, and 17% had severe urinary incontinence at onset. Among women age 56-81 years, 34% had slight, 45% had moderate, and 21% had severe urinary incontinence at onset. Across ages, most women reported persistence or progression of symptoms over follow-up; few (3-11%) reported remission. However, younger women and women with less severe urinary incontinence at onset were more likely to report remission or improvement of symptoms. We found that increasing age was associated with higher odds of progression only among older women (age 75-81 vs 56-60 years; odds ratio, 1.84; 95% confidence interval, 1.51-2.25). Among all women, higher body mass index was strongly associated with progression (younger women: odds ratio, 2.37; 95% confidence interval, 2.00-2.81; body mass index ≥30 vs <25 kg/m²; older women: odds ratio, 1.93; 95% confidence interval, 1.62-2.22). Additionally, greater physical activity was associated with lower odds of progression to severe urinary incontinence (younger women: odds ratio, 0.86; 95% confidence interval, 0.71-1.03; highest vs lowest quartile of activity; older women: odds ratio, 0.68; 95% confidence interval, 0.59-0.80).

CONCLUSION

Most women with incident urinary incontinence continued to experience symptoms over 10 years; few had complete remission. Identification of risk factors for urinary incontinence progression, such as body mass index and physical activity, could be important for reducing symptoms over time.

Ten-Year Prevalence and Incidence of Urinary Incontinence in Older Women: A Longitudinal Analysis of the Health and Retirement Study

OBJECTIVES

To measure the incidence of urinary incontinence (UI) over 10 years in older women who did not report UI at baseline in 1998, to estimate the prevalence of female UI according to severity and type, and to explore potential risk factors for development of UI.

DESIGN

Secondary analysis of a prospective cohort.

SETTING

Health and Retirement Study.

PARTICIPANTS

Women participating in the Health and Retirement Study between 1998 and 2008 who did not have UI at baseline (1998).

MEASUREMENTS

UI was defined as an answer of "yes" to the question, "During the last 12 months, have you lost any amount of urine beyond your control?" UI was characterized according to severity (according to the Sandvik Severity Index) and type (according to International Continence Society definitions) at each biennial follow-up between 1998 and 2008.

RESULTS

In 1998, 5,552 women aged 51 to 74 reported no UI. The cumulative incidence of UI in older women was 37.2% (95% confidence interval (CI)=36.0-38.5%). The most common incontinence type at the first report of leakage was mixed UI (49.1%, 95% CI=46.5-51.7%), and women commonly reported their symptoms at first leakage as moderate to severe (46.4%, 95% CI=43.8-49.0%).

CONCLUSION

Development of UI in older women was common and tended to result in mixed type and moderate to severe symptoms.

Menopausal Hormone Therapy Is Associated With Increased Risk of Fecal Incontinence in Women After Menopause

BACKGROUND & AIMS

Low estrogen levels can contribute to development of fecal incontinence (FI) in women after menopause by altering neuromuscular continence mechanisms. However, studies have produced conflicting results on the association between menopausal hormone therapy (MHT) and risk of FI.

METHODS

We studied the association between MHT and risk of FI among 55,828 postmenopausal women (mean age, 73 years) who participated in the Nurses' Health Study, were enrolled since 2008, and with no report of FI. We defined incident FI as a report of at least 1 liquid or solid FI episode per month during 4 years of follow-up from self-administered, biennial questionnaires administered in 2010 and 2012. We used Cox proportional hazard models to calculate multivariate-adjusted hazard ratios and 95% confidence intervals (CIs) for FI risk in women receiving MHT, adjusting for potential confounding factors.

RESULTS

During more than 185,000 person-years of follow-up, there were 6834 cases of incident FI. Compared with women who never used MHT, the multivariate hazard ratio for FI was 1.26 (95% CI, 1.18-1.34) for past users of MHT and 1.32 (95% CI, 1.20-1.45) for current users. The risk of FI increased with longer duration of MHT use (P trend ≤ .0001) and decreased with time since discontinuation. There was an increased risk of FI among women receiving MHT that contained a combination of estrogen and progestin (hazard ratio, 1.37; 95% CI, 1.10-1.70) compared with estrogen monotherapy.

CONCLUSIONS

Current or past use of MHT was associated with a modestly increased risk of FI among postmenopausal women in the Nurses' Health Study. These results support a potential role for exogenous estrogens in the impairment of the fecal continence mechanism.

Risk factors for urinary incontinence among postmenopausal Mexican women

INTRODUCTION AND HYPOTHESIS

Previous studies of racial/ethnic variation in urinary incontinence (UI) suggest that population-specific studies of UI risk factors are needed to develop appropriate public health recommendations. We assessed UI risk factors among postmenopausal Mexican women enrolled in the Mexican Teachers' Cohort.

METHODS

We conducted a cross-sectional study among 15,296 postmenopausal women who completed the 2008 questionnaire. UI cases were women who reported experiencing UI during menopause. Self-reported potential UI risk factors included age, reproductive variables, smoking status, adiposity, and several health conditions. We estimated multivariate-adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) for UI using multivariable logistic regression.

RESULTS

Among these postmenopausal women, the prevalence of UI was 14 %. Odds of UI were higher among women with ≥4 children vs nulliparous women (OR 1.43, 95 % CI 1.04-1.96) or body mass index (BMI) ≥30 vs <22 kg/m² (OR 2.00, 95 % CI: 1.55-2.57). Age at first birth <20 vs 20-24 years, past or current vs never smoking, larger waist-to-hip ratio, and history of asthma, high blood pressure, or diabetes were also associated with higher odds of UI (OR 1.2-1.3). We found a trend of lower odds of UI with older age.

CONCLUSIONS

Our data suggest that information about UI and UI prevention strategies might be particularly useful for Mexican postmenopausal women with 4 or more children or higher BMI. Further studies with longitudinal UI data, in addition to data on UI severity and subtype, are needed to provide more specific information about UI risk factors to Mexican women.

Genomics, Telomere Length, Epigenetics, and Metabolomics in the Nurses' Health Studies

OBJECTIVES

To review the contribution of the Nurses' Health Study (NHS) and NHS II to genomics, epigenetics, and metabolomics research.

METHODS

We performed a narrative review of the publications of the NHS and NHS II between 1990 and 2016 based on biospecimens, including blood and tumor tissue, collected from participants.

RESULTS

The NHS has contributed to the discovery of genetic loci influencing more than 45 complex human phenotypes, including cancers, diabetes, cardiovascular disease, reproductive characteristics, and anthropometric traits. The combination of genomewide genotype data with extensive exposure and lifestyle data has enabled the evaluation of gene-environment interactions. Furthermore, data suggest that longer telomere length increases risk of cancers not related to smoking, and that modifiable factors (e.g., diet) may have an impact on telomere length. "Omics" research in the NHS continues to expand, with epigenetics and metabolomics becoming greater areas of focus.

CONCLUSIONS

The combination of prospective biomarker data and broad exposure information has enabled the NHS to participate in a variety of "omics" research, contributing to understanding of the epidemiology and biology of multiple complex diseases.

Impact of Pre-analytic Blood Sample Collection Factors on Metabolomics

BACKGROUND

Many epidemiologic studies are using metabolomics to discover markers of carcinogenesis. However, limited data are available on the influence of pre-analytic blood collection factors on metabolite measurement.

METHODS

We quantified 166 metabolites in archived plasma from 423 Health Professionals Follow-up Study and Nurses' Health Study participants using liquid chromatography-tandem mass spectrometry (LC-MS). We compared multivariable-adjusted geometric mean metabolite LC-MS peak areas across fasting time, season of blood collection, and time of day of blood collection categories.

RESULTS

The majority of metabolites (160 of 166 metabolites) had geometric mean peak areas that were within 15% comparing samples donated after fasting 9 to 12 versus ≥13 hours; greater differences were observed in samples donated after fasting ≤4 hours. Metabolite peak areas generally were similar across season of blood collection, although levels of certain metabolites (e.g., bile acids and purines/pyrimidines) tended to be different in the summer versus winter months. After adjusting for fasting status, geometric mean peak areas for bile acids and vitamins, but not other metabolites, differed by time of day of blood collection.

CONCLUSION

Fasting, season of blood collection, and time of day of blood collection were not important sources of variability in measurements of most metabolites in our study. However, considering blood collection variables in the design or analysis of studies may be important for certain specific metabolites, particularly bile acids, purines/pyrimidines, and vitamins.

IMPACT

These results may be useful for investigators formulating analysis plans for epidemiologic metabolomics studies, including determining which metabolites to a priori exclude from analyses. Cancer Epidemiol Biomarkers Prev; 25(5); 823-9. ©2016 AACR.

Circulating Metabolites and Survival Among Patients With Pancreatic Cancer

BACKGROUND

Pancreatic tumors cause changes in whole-body metabolism, but whether prediagnostic circulating metabolites predict survival is unknown.

METHODS

We measured 82 metabolites by liquid chromatography-mass spectrometry in prediagnostic plasma from 484 pancreatic cancer case patients enrolled in four prospective cohort studies. Association of metabolites with survival was evaluated using Cox proportional hazards models adjusted for age, cohort, race/ethnicity, cancer stage, fasting time, and diagnosis year. After multiple-hypothesis testing correction, a P value of .0006 or less (.05/82) was considered statistically significant. Based on the results, we evaluated 33 tagging single-nucleotide polymorphisms (SNPs) in the ACO1 gene, requiring a P value of less than .002 (.05/33) for statistical significance. All statistical tests were two-sided.

RESULTS

Two metabolites in the tricarboxylic acid (TCA) cycle--isocitrate and aconitate--were statistically significantly associated with survival. Participants in the highest vs lowest quintile had hazard ratios (HRs) for death of 1.89 (95% confidence interval [CI] = 1.06 to 3.35, Ptrend < .001) for isocitrate and 2.54 (95% CI = 1.42 to 4.54, Ptrend < .001) for aconitate. Isocitrate is interconverted with citrate via the intermediate aconitate in a reaction catalyzed by the enzyme aconitase 1 (ACO1). Therefore, we investigated the citrate to aconitate plus isocitrate ratio and SNPs in the ACO1 gene. The ratio was strongly associated with survival (P trend < .001) as was the SNP rs7874815 in the ACO1 gene (hazard ratio for death per minor allele = 1.37, 95% CI = 1.16 to 1.61, P < .001). Patients had an approximately three-fold hazard for death when possessing one or more minor alleles at rs7874851 and high aconitate or isocitrate.

CONCLUSIONS

Prediagnostic circulating levels of TCA cycle intermediates and inherited ACO1 genotypes were associated with survival among patients with pancreatic cancer.