Prognostic Value of Cutaneous Disease Severity Estimates on Survival Outcomes in Patients With Chronic Graft-vs-Host Disease

Importance

Prior studies have demonstrated an association between cutaneous chronic graft-vs-host disease (cGVHD) and mortality. Assessment of the prognostic value of different measures of disease severity would assist in risk stratification.

Objective

To compare the prognostic value of body surface area (BSA) and National Institutes of Health (NIH) Skin Score on survival outcomes stratified by erythema and sclerosis subtypes of cGVHD.

Design, Setting, and Participants

Multicenter prospective cohort study from the Chronic Graft-vs-Host Disease Consortium including 9 medical centers in the US, enrolled from 2007 through 2012 and followed until 2018. Participants were adults and children with a diagnosis of cGVHD requiring systemic immunosuppression and with skin involvement during the study period, who had longitudinal follow-up. Data analysis was performed from April 2019 to April 2022.

Exposures

Patients underwent continuous BSA estimation and categorical NIH Skin Score grading of cutaneous cGVHD at enrollment and every 3 to 6 months thereafter.

Main Outcomes and Measures

Nonrelapse mortality (NRM) and overall survival (OS), compared between BSA and NIH Skin Score longitudinal prognostic models, adjusted for age, race, conditioning intensity, patient sex, and donor sex.

Results

Of 469 patients with cGVHD, 267 (57%) (105 female [39%]; mean [SD] age, 51 [12] years) had cutaneous cGVHD at enrollment, and 89 (19%) developed skin involvement subsequently. Erythema-type disease had earlier onset and was more responsive to treatment compared with sclerosis-type disease. Most cases (77 of 112 [69%]) of sclerotic disease occurred without prior erythema. Erythema-type cGVHD at first follow-up visit was associated with NRM (hazard ratio, 1.33 per 10% BSA increase; 95% CI, 1.19-1.48; P < .001) and OS (hazard ratio, 1.28 per 10% BSA increase; 95% CI, 1.14-1.44; P < .001), while sclerosis-type cGVHD had no significant association with mortality. The model with erythema BSA collected at baseline and first follow-up visits retained 75% of the total prognostic information (from all covariates including BSA and NIH Skin Score) for NRM and 73% for OS, with no statistical difference between prognostic models (likelihood ratio test χ2, 5.9; P = .05). Conversely, NIH Skin Score collected at the same intervals lost significant prognostic information (likelihood ratio test χ2, 14.7; P < .001). The model incorporating NIH Skin Score instead of erythema BSA accounted for only 38% of the total information for NRM and 58% for OS.

Conclusions and Relevance

In this prospective cohort study, erythema-type cutaneous cGVHD was associated with increased risk of mortality. Erythema BSA collected at baseline and follow-up predicted survival more accurately than the NIH Skin Score in patients requiring immunosuppression. Accurate assessment of erythema BSA may assist in identifying patients with cutaneous cGVHD at high risk for mortality.

Impact of COVID-19 in patients on active melanoma therapy and with history of melanoma

INTRODUCTION

COVID-19 particularly impacted patients with co-morbid conditions, including cancer. Patients with melanoma have not been specifically studied in large numbers. Here, we sought to identify factors that associated with COVID-19 severity among patients with melanoma, particularly assessing outcomes of patients on active targeted or immune therapy.

METHODS

Using the COVID-19 and Cancer Consortium (CCC19) registry, we identified 307 patients with melanoma diagnosed with COVID-19. We used multivariable models to assess demographic, cancer-related, and treatment-related factors associated with COVID-19 severity on a 6-level ordinal severity scale. We assessed whether treatment was associated with increased cardiac or pulmonary dysfunction among hospitalized patients and assessed mortality among patients with a history of melanoma compared with other cancer survivors.

RESULTS

Of 307 patients, 52 received immunotherapy (17%), and 32 targeted therapy (10%) in the previous 3 months. Using multivariable analyses, these treatments were not associated with COVID-19 severity (immunotherapy OR 0.51, 95% CI 0.19 - 1.39; targeted therapy OR 1.89, 95% CI 0.64 - 5.55). Among hospitalized patients, no signals of increased cardiac or pulmonary organ dysfunction, as measured by troponin, brain natriuretic peptide, and oxygenation were noted. Patients with a history of melanoma had similar 90-day mortality compared with other cancer survivors (OR 1.21, 95% CI 0.62 - 2.35).

CONCLUSIONS

Melanoma therapies did not appear to be associated with increased severity of COVID-19 or worsening organ dysfunction. Patients with history of melanoma had similar 90-day survival following COVID-19 compared with other cancer survivors.

Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci

BACKGROUND

Known risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort.

METHODS

Single nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer-related cell types.

RESULTS

We identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 (PEOC = 1.60E-21; OREOC = 8.24), RAD51C (Phigh-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 (PHGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations (P < .001) were identified for rare CNVs. Risk-associated CNVs were enriched (P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types.

CONCLUSIONS

CNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and may contribute to the spectrum of disease-causing mutations in these genes. CNVs are likely to occur in a wider set of susceptibility regions, with potential implications for clinical genetic testing and disease prevention.

Racial differences in the association of body mass index and ovarian cancer risk in the OCWAA Consortium

BACKGROUND

Obesity disproportionately affects African American (AA) women and has been shown to increase ovarian cancer risk, with some suggestions that the association may differ by race.

METHODS

We evaluated body mass index (BMI) and invasive epithelial ovarian cancer (EOC) risk in a pooled study of case-control and nested case-control studies including AA and White women. We evaluated both young adult and recent BMI (within the last 5 years). Associations were estimated using multi-level and multinomial logistic regression models.

RESULTS

The sample included 1078 AA cases, 2582 AA controls, 3240 White cases and 9851 White controls. We observed a higher risk for the non-high-grade serous (NHGS) histotypes for AA women with obesity (ORBMI 30+= 1.62, 95% CI: 1.16, 2.26) and White women with obesity (ORBMI 30+= 1.20, 95% CI: 1.02, 2.42) compared to non-obese. Obesity was associated with higher NHGS risk in White women who never used HT (ORBMI 30+= 1.40, 95% CI: 1.08, 1.82). Higher NHGS ovarian cancer risk was observed for AA women who ever used HT (ORBMI 30+= 2.66, 95% CI: 1.15, 6.13), while in White women, there was an inverse association between recent BMI and risk of EOC and HGS in ever-HT users (EOC ORBMI 30+= 0.81, 95% CI: 0.69, 0.95, HGS ORBMI 30+= 0.73, 95% CI: 0.61, 0.88).

CONCLUSION

Obesity contributes to NHGS EOC risk in AA and White women, but risk across racial groups studied differs by HT use and histotype.

Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry consortium

Black women diagnosed with epithelial ovarian cancer have poorer survival compared to white women. Factors that contribute to this disparity, aside from socioeconomic status and guideline-adherent treatment, have not yet been clearly identified. We examined data from the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium which harmonized data on 1074 Black women and 3263 white women with ovarian cancer from seven US studies. We selected potential mediators and confounders by examining associations between each variable with race and survival. We then conducted a sequential mediation analysis using an imputation method to estimate total, direct, and indirect effects of race on ovarian cancer survival. Black women had worse survival than white women (HR = 1.30; 95% CI 1.16-1.47) during study follow-up; 67.9% of Black women and 69.8% of white women died. In our final model, mediators of this disparity include college education, nulliparity, smoking status, body mass index, diabetes, diabetes/race interaction, postmenopausal hormone (PMH) therapy duration, PMH duration/race interaction, PMH duration/age interaction, histotype, and stage. These mediators explained 48.8% (SE = 12.1%) of the overall disparity; histotype/stage and PMH duration accounted for the largest fraction. In summary, nearly half of the disparity in ovarian cancer survival between Black and white women in the OCWAA consortium is explained by education, lifestyle factors, diabetes, PMH use, and tumor characteristics. Our findings suggest that several potentially modifiable factors play a role. Further research to uncover additional mediators, incorporate data on social determinants of health, and identify potential avenues of intervention to reduce this disparity is urgently needed.

Multiplex immunohistochemistry and high-throughput image analysis for evaluation of spatial tumor immune cell markers in human breast cancer

BACKGROUND

The clinicopathological significance of spatial tumor-infiltrating lymphocytes (TILs) subpopulations is not well studied due to lack of high-throughput scalable methodology for studies with large human sample sizes.

OBJECTIVE

Establishing a cyclic fluorescent multiplex immunohistochemistry (mIHC/IF) method coupled with computer-assisted high-throughput quantitative analysis to evaluate associations of six TIL markers (CD3, CD8, CD20, CD56, FOXP3, and PD-L1) with clinicopathological factors of breast cancer.

METHODS

Our 5-plex mIHC/IF staining was shown to be reliable and highly sensitive for labeling three biomarkers per tissue section. Through repetitive cycles of 5-plex mIHC/IF staining, more than 12 biomarkers could be detected per single tissue section. Using open-source software CellProfiler, the measurement pipelines were successfully developed for high-throughput multiplex evaluation of intratumoral and stromal TILs.

RESULTS

In analyses of 188 breast cancer samples from the Nashville Breast Health Study, high-grade tumors showed significantly increased intratumoral CD3+CD8+ CTL density (P= 0.0008, false discovery rate (FDR) adjusted P= 0.0168) and intratumoral PD-L1 expression (P= 0.0061, FDR adjusted P= 0.0602) compared with low-grade tumors.

CONCLUSIONS

The high- and low-grade breast cancers exhibit differential immune responses which may have clinical significances. The multiplexed imaging quantification strategies established in this study are reliable, cost-efficient and applicable in regular laboratory settings for high-throughput tissue biomarker studies, especially retrospective and population-based studies using archived paraffin tissues.

Race Differences in the Associations between Menstrual Cycle Characteristics and Epithelial Ovarian Cancer

BACKGROUND

Menstrual cycle characteristics-including age at menarche and cycle length- have been associated with ovarian cancer risk in White women. However, the associations between menstrual cycle characteristics and ovarian cancer risk among Black women have been sparsely studied.

METHODS

Using the Ovarian Cancer in Women of African Ancestry (OCWAA) Consortium that includes 1,024 Black and 2,910 White women diagnosed with epithelial ovarian cancer (EOC) and 2,325 Black and 7,549 White matched controls, we investigated associations between menstrual cycle characteristics (age at menarche, age at menstrual regularity, cycle length, and ever missing three periods) and EOC risk by race and menopausal status. Multivariable logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI).

RESULTS

Black women were more likely to be <11 years at menarche than White women (controls: 9.9% vs. 6.0%). Compared with ≥15 years at menarche, <11 years was associated with increased EOC risk for White (OR = 1.25; 95% CI, 0.99-1.57) but not Black women (OR = 1.10; 95% CI, 0.80-1.55). Among White women only, the association was greater for premenopausal (OR = 2.20; 95% CI, 1.31-3.68) than postmenopausal women (OR = 1.06; 95% CI, 0.82-1.38). Irregular cycle length was inversely associated with risk for White (OR = 0.78; 95% CI, 0.62-0.99) but not Black women (OR = 1.06; 95% CI, 0.68-1.66).

CONCLUSIONS

Earlier age at menarche and cycle irregularity are associated with increased EOC risk for White but not Black women.

IMPACT

Associations between menstrual cycle characteristics and EOC risk were not uniform by race.

Abstract 3228: Body mass index and ovarian cancer: Changes after diagnosis and associations with overall survival

Background: While excess adiposity is positively associated with ovarian cancer risk, the relationship with patient prognosis remains to be fully elucidated, especially with regard to changes over time during survivorship.

Methods: We assembled a retrospective cohort of tumor registry confirmed ovarian, fallopian tube, and primary peritoneal cancer cases and evaluated peri- and post-diagnosis (±30 days and up to 5 years after, respectively) body mass index (BMI) from electronic medical records (EMR) from the Vanderbilt University Medical Center. Associations with overall survival (OS) were quantified by Hazards Ratios (HRs) and corresponding 95% confidence intervals (CIs) from Cox proportional hazards regression; multivariable adjustment included age, stage, grade, histologic subtype, treatment, race, and year of diagnosis.

Results: We evaluated 13,676 peri- and post-diagnosis BMI observations for 616 predominantly Caucasian (87.0%) cases; the majority had serous histology (62.5%), advanced stage (58.1% Stage III or IV), high grade (52.4% poorly or undifferentiated) disease. Compared to peri-diagnosis (median =29.0), BMI was lowest 6 months post-diagnosis (median=27.4) and then gradually increased over time among survivors. In multivariable adjusted models, each 5-unit increase in mean peri-diagnosis BMI corresponded with a nonsignificant increase (HR: 1.07, 95% CI: 0.97-1.18) while higher mean post-diagnosis BMI corresponded to a significantly decreased risk of death (HR: 0.92, 95% CI: 0.84-1.00). Adjusted models that incorporated all peri- and post-diagnosis BMI observations evaluated indicated that each 5-unit increase in BMI was associated with a 15% reduced risk of death (HR: 0.85, 95% CI: 0.77-0.94).

Conclusions: Whereas lower adiposity may be beneficial in terms of risk, higher adiposity appears to benefit ovarian cancer survival. Factors including cancer cachexia, weight loss among ill patients, and weight gain among survivors may contribute to this seemingly protective association. Additional research to disentangle the influence of BMI on ovarian cancer outcomes and inform adiposity guidance for ovarian cancer survivors is needed.

Citation Format: Alicia Beeghly-Fadiel, Sharon Phillips, George Bukenya, Pranoti Pradhan, Sara Duque, Nneka Anyanwu, Deok-Soo Son, Andrew J. Wilson, Demetra H. Hufnagel, Marta A. Crispens. Body mass index and ovarian cancer: Changes after diagnosis and associations 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 3228.

Abstract 5900: Integrating prior knowledge of transcription factor occupied elements with transcriptome-wide association analysis identifies 153 breast cancer susceptibility genes

Transcriptome-wide association studies (TWAS) have been successful in uncovering large numbers of putative disease susceptibility genes. TWAS approaches such as S-PrediXcan, FUSION and TIGAR, show comparable overall performance for susceptibility gene discovery; however, integrating prior disease-specific regulatory information is lacking. To improve accuracy of gene expression prediction by integrating information on susceptible transcription factor (sTF) occupancy in target cells and tissues, we developed an analytical framework, called sTF-TWAS. We evaluated six sets of putative regulatory variants selected from sTF-occupied sites, and performed generalized Berk-Jones (GBJ) analysis to combine sets and quantify overall associations. We demonstrated that sTF-TWAS outperforms S-PrediXcan in both simulation and real data analyses. Using summary statistics data from the Breast Cancer Association Consortium (BCAC), we also incorporated alternative splicing (sp) data in TF-TWAS and identified 76 and 88 significant genes for breast cancer risk at a Bonferroni-corrected P &lt;0.05 from sTF-TWAS and sp-sTF-TWAS, respectively. Of 153 putative susceptibility genes from both sTF-TWAS and sp-sTF-TWAS, 14 genes in 12 loci had novel associations with breast cancer risk and 90 genes were previously unreported by breast cancer GWAS. We also provide strong evidence for 15 previously unreported genes, including 11 essential for breast cell proliferation and five suggested cancer predisposition or driver genes: RAD50, IGHMBP2, ATXN3, KANSL1, and IL6ST. Overall, we demonstrated that our approach has significant advantages over regular TWAS and our findings provide additional insights into the genetic susceptibility of breast cancer.

Citation Format: Xingyi Guo, Jingni He, Alicia Beeghly-Fadiel, Zhishan Chen, Chen Cao, Xiao-ou Shu, Wei Zheng, Quan Long. Integrating prior knowledge of transcription factor occupied elements with transcriptome-wide association analysis identifies 153 breast cancer susceptibility genes [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 5900.

COVID-19 in patients with gynecologic cancer: A preliminary report from the COVID-19 and Cancer Consortium (CCC19)

5508

Background: Limited information exists regarding the severity of short-term outcomes among patients with gynecologic cancer who are infected with SARS-CoV-2. Methods: Patients with gynecologic cancer and laboratory confirmed SARS-CoV-2 infection were identified from the international CCC19 registry. We estimated odds ratios (OR) from ordinal logistic regression for associations with severity of COVID-19 outcomes, defined from least to most severe as hospitalization, intensive care unit (ICU) admittance, mechanical ventilation, and 30-day mortality. Results: Of 842 patients identified, 48% had endometrial cancer, 24% had ovarian cancer, 22% had cervical cancer, and 6% had dual primary/other gynecologic cancers. The majority were from the United States (86%), most were non-Hispanic White (46%), and the median age was 62 years (IQR 52-72). The majority were diagnosed with localized disease (68%); only 18 (2%) and 15 (2%) were fully or partially vaccinated, respectively. In the 3 months prior to COVID-19, 36% had any cancer treatment, with chemotherapy the most common (23%). When diagnosed with COVID-19, most patients were in remission (50%), while 37% had active disease, including 22% with metastatic disease. Most patients presented with typical COVID-19 symptoms (76%); few had a poor ECOG performance status (PS ≥2, 14%). Outcomes included hospitalization (50%), ICU admittance (12%), mechanical ventilation (8%), and death within 30 days of testing positive for SARS-CoV-2 (10%). In unadjusted models, increasing age (OR: 1.03 1.02-1.04) and Black race (OR 1.91, 1.31-2.77) were associated with increased severity of COVID-19 outcomes. Compared to patients in remission for ≥5 years, those with progressive disease had increased severity (OR 1.88, 1.25-2.82), while those in remission for < 5 years or with stable disease had decreased severity of COVID-19 outcomes (OR 0.55, 0.39-0.76). In multivariable models that included adjustment for age, race, and cancer status, additional factors associated with increased COVID-19 outcome severity included cardiac (OR 1.57, 1.13-2.19) and renal (OR 2.00, 1.33-3.00) comorbidities, an ECOG PS ≥2 (OR 5.15, 3.21-8.27), having pneumonia or pneumonitis (OR 4.08, 2.94-5.66), venous thromboembolism (OR 4.67, 2.49-8.75), sepsis (OR 14.2, 9.05-22.1), or a co-infection within ±2 weeks of SARS-CoV-2 (OR: 4.40, 2.91-6.65); asymptomatic SARS-CoV-2 infection was associated with decreased severity of outcomes (OR: 0.25, 0.16-0.38). The overall case fatality rate was 15.7%. Conclusions: Patients with gynecologic cancer experience significant morbidity and mortality related to infection with SARS-CoV-2. Age, race, cancer status, co-morbidities, and COVID-19 complications were associated with more severe COVID-19 outcomes, along the continuum from least to most, of hospitalization, ICU admittance, mechanical ventilation, and 30-day mortality.

Evaluation of Information Theoretic Network Meta-analysis to Rank First-Line Anticancer Regimens for Hormone Receptor-Positive, ERBB2-Negative Metastatic Breast Cancer

IMPORTANCE

Hormone receptor-positive, ERBB2 (formerly HER2/neu)-negative metastatic breast cancer (HR-positive, ERBB2-negative MBC) is treated with targeted therapy, endocrine therapy, chemotherapy, or combinations of these modalities; however, evaluating the increasing number of treatment options is challenging because few regimens have been directly compared in randomized clinical trials (RCTs), and evidence has evolved over decades. Information theoretic network meta-analysis (IT-NMA) is a graph theory-based approach for regimen ranking that takes effect sizes and temporality of evidence into account.

OBJECTIVE

To examine the performance of an IT-NMA approach to rank HR-positive, ERBB2-negative MBC treatment regimens.

DATA SOURCES

HemOnc.org, a freely available medical online resource of interventions, regimens, and general information relevant to the fields of hematology and oncology, was used to identify relevant RCTs.

STUDY SELECTION

All primary and subsequent reports of RCTs of first-line systemic treatments for HR-positive, ERBB2-negative MBC that were referenced on HemOnc.org and published between 1974 and 2019 were included. Additional RCTs that were evaluated by a prior traditional network meta-analysis on HR-positive, ERBB2-negative MBC were also included.

DATA EXTRACTION AND SYNTHESIS

RCTs were independently extracted from HemOnc.org and a traditional NMA by separate observers. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline for NMA with several exceptions: the risk of bias within individual studies and inconsistency in the treatment network were not assessed.

MAIN OUTCOMES AND MEASURES

Regimen rankings generated by IT-NMA based on clinical trial variables, including primary end point, enrollment number per trial arm, P value, effect size, years of enrollment, and year of publication.

RESULTS

A total of 203 RCTs with 63 629 patients encompassing 252 distinct regimens were compared by IT-NMA, which resulted in 151 rankings as of 2019. Combinations of targeted and endocrine therapy were highly ranked, especially the combination of endocrine therapy with cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors. For example, letrozole plus palbociclib was ranked first and letrozole plus ribociclib, third. Older monotherapies that continue to be used in RCTs in comparator groups, such as anastrozole (251 of 252) and letrozole (252), fell to the bottom of the rankings. Many regimens gravitated toward indeterminacy by 2019.

CONCLUSIONS AND RELEVANCE

In this network meta-analysis study, combination therapies appeared to be associated with better outcomes than monotherapies in the treatment of HR-positive, ERBB2-negative MBC. These findings suggest that IT-NMA is a promising method for longitudinal ranking of anticancer regimens from RCTs with different end points, sparse interconnectivity, and decades-long timeframes.

Association of Leukocyte Adhesion and Rolling in Skin With Patient Outcomes After Hematopoietic Cell Transplantation Using Noninvasive Reflectance Confocal Videomicroscopy

Importance

Hematopoietic cell transplantation (HCT) is a potential cure for hematologic cancer but is associated with a risk of relapse and death. Dynamic biomarkers to predict relapse and inform treatment decisions after HCT are a major unmet clinical need.

Objective

To identify a quantitative characteristic of leukocyte-endothelial interactions after HCT and test its associations with patient outcomes.

Design, Setting, and Participants

In this prospective single-center cohort study from June 2017 to January 2020, patients of any age, sex, race, and ethnicity who had HCT for hematologic cancer were referred by health care professionals as either suspected of having symptoms or not having symptoms of acute graft-vs-host disease between 25 and 161 days after HCT. Patients underwent noninvasive skin videomicroscopy. Videos of dermal microvascular flow were recorded with a reflectance confocal microscope. Two blinded observers (J.R.P. and Z.Z.) counted leukocytes adherent to and rolling along the vessel wall per hour (A&R). Of 57 enrolled patients, 1 relapsed before imaging and was excluded, resulting in 56 patients included in analyses.

Main Outcomes and Measures

Relapse of cancer, relapse-free survival, and overall survival.

Results

Among the 56 patients (median age, 59 years; 38 [68%] male) who underwent imaging a median of 40 days after HCT, 21 had high A&R and 35 had low A&R. After correcting for the revised Disease Risk Index, patients with high A&R had higher rates of relapse (hazard ratio [HR], 4.24; 95% CI, 1.32-13.58; P = .02), reduced relapse-free survival (HR, 3.29; 95% CI, 1.26-8.55; P = .02), and reduced overall survival (HR, 3.06, 95% CI, 1.02-9.19; P = .05). These associations were preserved after correcting for possible confounders, steroid treatment, and acute graft-vs-host disease status. In the prognostic adequacy calculation by using Cox models, the new imaging biomarker (A&R) accounted for 82% to 95% of the prognostic information to predict each outcome. By contrast, the best existing clinical predictor routinely available, the revised Disease Risk Index, accounted for 10% to 28% of the prognostic information in the same model.

Conclusions and Relevance

In this cohort study, leukocyte-endothelial interactions, visualized directly in skin after HCT, were associated with the patient outcomes of relapse, relapse-free survival, and overall survival. Assessing this dynamic marker could help patients at high risk for relapse who may benefit from interventions, such as early withdrawal of immunosuppression.

Patients recently treated for B-lymphoid malignancies show increased risk of severe COVID-19: a CCC19 registry analysis

Patients with B-lymphoid malignancies have been consistently identified as a population at high risk of severe COVID-19. Whether this is exclusively due to cancer-related deficits in humoral and cellular immunity, or whether risk of severe COVID-19 is increased by anti-cancer therapy, is uncertain. Using data derived from the COVID-19 and Cancer Consortium (CCC19), we show that patients treated for B-lymphoid malignancies have an increased risk of severe COVID-19 compared to control populations of patients with non-B-lymphoid hematologic malignancies. Among patients with B-lymphoid malignancies, those who received anti-cancer therapy within 12 months of COVID-19 diagnosis experienced increased COVID-19 severity compared to patients with B-lymphoid malignancies off therapy, after adjustment for cancer status and several other prognostic factors. Our findings suggest that patients recently treated for a B-lymphoid malignancy are at uniquely high risk for severe COVID-19.

Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.

Human Papillomavirus Vaccine Impact on Cervical Precancers in a Low-Vaccination Population

INTRODUCTION

Demonstrating human papillomavirus vaccine impact is critical for informing guidelines to increase vaccination and decrease human papillomavirus‒related outcomes, particularly in states with suboptimal vaccination coverage, such as Tennessee. This study examines the trends in high-grade cervical lesion incidence among Tennessee Medicaid-enrolled women aged 18-39 years and the subset of women who were screened for cervical cancer.

METHODS

Using a validated claims-based model to identify incident cervical intraepithelial neoplasia Grades 2 or 3 or adenocarcinoma in situ events, annual age group‒specific incidence rates from Tennessee Medicaid billing data, 2008-2018, were calculated. Significant trends were determined by Joinpoint. Analyses were conducted in 2020.

RESULTS

From 2008 to 2018, high-grade cervical lesion incidence significantly declined in women aged 18-20 years (average annual percentage change= -31.9, 95% CI= -38.6, -24.6), 21-24 years (average annual percentage change= -12.9, 95% CI= -22.3, -2.4), and 25-29 years (average annual percentage change= -6.4, 95% CI= -8.1, -4.6). Among screened women, rates significantly declined for ages 18-20 years (average annual percentage change= -20.3, 95% CI= -25.3, -15.0), 21-24 years (average annual percentage change= -10.2, 95% CI= -12.6, -7.8), and 25-29 years (average annual percentage change= -2.6, 95% CI= -3.9, -1.2). Trends from 2008 to 2018 were stable for older age groups (30-34 and 35-39 years).

CONCLUSIONS

Results show reductions in high-grade cervical lesion incidence among ages most likely to have benefited from the human papillomavirus vaccine. Declines among young, screened women suggest causes other than reduction in screening. Evidence of vaccine impact in populations with low-vaccination coverage, such as Tennessee, is promising.

Learning through a Pandemic: The Current State of Knowledge on COVID-19 and Cancer

The ongoing COVID-19 pandemic has left patients with current or past history of cancer facing disparate consequences at every stage of the cancer trajectory. This comprehensive review offers a landscape analysis of the current state of the literature on COVID-19 and cancer including the immune response to COVID-19, risk factors for severe disease, and impact of anticancer therapies. We also review the latest data on treatment of COVID-19 and vaccination safety and efficacy in patients with cancer, as well as impact of the pandemic on cancer care, including the urgent need for rapid evidence generation and real-world study designs.

High-Fat Diet-Induced Obese Effects of Adipocyte-Specific CXCR2 Conditional Knockout in the Peritoneal Tumor Microenvironment of Ovarian Cancer

Obesity contributes to ovarian cancer (OC) progression via tumorigenic chemokines. Adipocytes and OC cells highly express CXCR2, and its ligands CXCL1/8, respectively, indicating that the CXCL1/8-CXCR2 axis is a molecular link between obesity and OC. Here, we investigated how the adipocyte-specific CXCR2 conditional knockout (cKO) affected the peritoneal tumor microenvironment of OC in a high-fat diet (HFD)-induced obese mouse model. We first generated adipocyte-specific CXCR2 cKO in mice: adipose tissues were not different in crown-like structures and adipocyte size between the wild-type (WT) and cKO mice but expressed lower levels of CCL2/6 compared to the obese WT mice. HFD-induced obese mice had a shorter survival time than lean mice. Particularly, obese WT and cKO mice developed higher tumors and ascites burdens, respectively. The ascites from the obese cKO mice showed increased vacuole clumps but decreased the floating tumor burden, tumor-attached macrophages, triglyceride, free fatty acid, CCL2, and TNF levels compared to obese WT mice. A tumor analysis revealed that obese cKO mice attenuated inflammatory areas, PCNA, and F4/80 compared to obese WT mice, indicating a reduced tumor burden, and there were positive relationships between the ascites and tumor parameters. Taken together, the adipocyte-specific CXCR2 cKO was associated with obesity-induced ascites despite a reduced tumor burden, likely altering the peritoneal tumor microenvironment of OC.

Identification of a Locus Near ULK1 Associated With Progression-Free Survival in Ovarian Cancer

BACKGROUND

Many loci have been found to be associated with risk of epithelial ovarian cancer (EOC). However, although there is considerable variation in progression-free survival (PFS), no loci have been found to be associated with outcome at genome-wide levels of significance.

METHODS

We carried out a genome-wide association study (GWAS) of PFS in 2,352 women with EOC who had undergone cytoreductive surgery and standard carboplatin/paclitaxel chemotherapy.

RESULTS

We found seven SNPs at 12q24.33 associated with PFS (P < 5 × 10-8), the top SNP being rs10794418 (HR = 1.24; 95% CI, 1.15-1.34; P = 1.47 × 10-8). High expression of a nearby gene, ULK1, is associated with shorter PFS in EOC, and with poor prognosis in other cancers. SNP rs10794418 is also associated with expression of ULK1 in ovarian tumors, with the allele associated with shorter PFS being associated with higher expression, and chromatin interactions were detected between the ULK1 promoter and associated SNPs in serous and endometrioid EOC cell lines. ULK1 knockout ovarian cancer cell lines showed significantly increased sensitivity to carboplatin in vitro.

CONCLUSIONS

The locus at 12q24.33 represents one of the first genome-wide significant loci for survival for any cancer. ULK1 is a plausible candidate for the target of this association.

IMPACT

This finding provides insight into genetic markers associated with EOC outcome and potential treatment options.See related commentary by Peres and Monteiro, p. 1604.

Increasing Area Deprivation Index negatively impacts ovarian cancer survival

INTRODUCTION

While individual-level measures of socioeconomic status have been well-studied in relation to ovarian cancer survival, no studies to date have examined both state and national-level Area Deprivation Indices (ADIs), which incorporate neighborhood affluence and resources.

METHODS

We abstracted clinical data from medical records for ovarian cancer cases from the Vanderbilt University Medical Center and obtained ADIs from the Neighborhood Atlas®. Associations with clinical characteristics were assessed with Spearman correlations and Kruskal-Wallis tests; associations with progression-free survival (PFS) and overall survival (OS) were assessed with Cox proportional-hazards regression.

RESULTS

Among 184 cases, state and national ADIs were highly correlated, but not related to any cancer characteristics. In multivariable adjusted regression models, both were significantly associated with OS; each decile increase in state or national ADI corresponded to a 9 % or 10 % greater risk of death, respectively.

CONCLUSIONS

Increasing area-level deprivation may negatively impact ovarian cancer survival.

Abstract 33: Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium

Purpose of Study: We used multiple mediation analysis to examine why African-American women have poorer ovarian cancer survival compared to white women.

Methods: We examined data from the OCWAA consortium which harmonized questionnaire-based data on 1,075 African-American women and 3,272 white women with ovarian cancer from seven U.S. studies. We first selected potential mediators and confounders by examining their association with race and survival and then incorporated these variables into a sequential multiple mediation analysis. We used multiple imputation and bootstrapping to fit and pool natural effects models with counterfactual exposures and survival times. In order to distinguish the effect of race through mediators and otherwise, we implemented log-normal accelerated failure time and Cox proportional hazards (PH) models.

Results: In OCWAA, 67.8% (n=729) of African-American women and 69.7% (n=2,282) of white women were deceased. The hazard ratio for African-American compared to white women was 1.29 (95%CI=1.15-1.46). In our final model (Table 1), mediators of this disparity in survival included college education, nulliparity, smoking status, body mass index, diabetes, diabetes/race interaction, postmenopausal hormone (PMH) therapy duration, PMH duration/race interaction, PMH duration/age interaction, histotype, and stage. These mediators explained 46.4% (95%CI=30.9-60.0%) of the overall racial disparity, and histotype/stage and PMH duration accounted for the largest fraction.

Conclusions: In the OCWAA consortium, almost half of the disparity in ovarian cancer survival between African-American and white women is explained by education, lifestyle factors, diabetes, PMH use, and tumor characteristics. A more complete understanding of the remaining difference in racial disparity is needed in order to ultimately improve outcomes and reduce disparities.

Table 1.Sequential multiple mediation of racial differences in ovarian cancer survival in OCWAAStepaMediator(s) AddedIndirect Effect HRbDirect Effect HRcTotal Effect HRd% Mediatede1College graduate1.015 (0.960, 1.073)1.308 (1.265, 1.351)1.327 (1.268, 1.389)4.5 (-16.9, 22.0)2Nulliparity1.018 (0.963, 1.076)1.304 (1.261, 1.347)1.327 (1.268, 1.388)5.8 (-15.6, 22.9)3Smoking1.023 (0.968, 1.082)1.296 (1.254, 1.340)1.326 (1.266, 1.387)7.5 (-13.3, 24.8)4BMI,Diabetes,Diabetes/Race Interaction1.051 (0.995, 1.111)1.263 (1.222, 1.305)1.327 (1.268, 1.389)17.0 (-2.2, 33.2)5PMH Duration,PMH Duration/Race Interaction,PMH Duration/Age Interaction1.086 (1.025, 1.149)1.195 (1.157, 1.235)1.298 (1.238, 1.359)31.0 (11.2, 47.3)6Histotype,Stage1.129 (1.073, 1.189)1.149 (1.114, 1.184)1.297 (1.243, 1.353)46.4 (30.9, 60.0)Abbreviations: OCWAA, Ovarian Cancer in Women of African Ancestry; PMH, Postmenopausal hormone; BMI, body mass index.Bold numbers reflect statistically significant values.aSequential order in which the selected mediators were added to the model. Model also includes variables in all preceding steps.bThe indirect effect is the cumulative indirect effect of the variables selected as mediators in a given step and all preceding steps.cThe direct effect is the remaining direct effect through all other non-mediated pathways.dTotal effect is calculated as log(Indirect Effect HR) + log(Direct Effect HR).ePercent (%) mediated is calculated as log(indirect effect HR)/log(total effect HR).

Citation Format: Kristin A. Guertin, Holly R. Harris, Tareq F. Camacho, Courtney E. Johnson, Anna H. Wu, Patricia G. Moorman, Evan Myers, Traci N. Bethea, Elisa V. Bandera, Charlotte E. Joslin, Heather M. Ochs-Balcom, Lauren C. Peres, Will T. Rosenow, Veronica W. Setiawan, Alicia Beeghly-Fadiel, Lauren F. Dempsey, Lynn Rosenberg, Joellen M. Schildkraut. Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 33.

Genital Powder Use and Risk of Epithelial Ovarian Cancer in the Ovarian Cancer in Women of African Ancestry Consortium

BACKGROUND

Genital powder use is more common among African-American women; however, studies of genital powder use and ovarian cancer risk have been conducted predominantly in White populations, and histotype-specific analyses among African-American populations are limited.

METHODS

We used data from five studies in the Ovarian Cancer in Women of African Ancestry consortium. Participants included 620 African-American cases, 1,146 African-American controls, 2,800 White cases, and 6,735 White controls who answered questions on genital powder use prior to 2014. The association between genital powder use and ovarian cancer risk by race was estimated using logistic regression.

RESULTS

The prevalence of ever genital powder use for cases was 35.8% among African-American women and 29.5% among White women. Ever use of genital powder was associated with higher odds of ovarian cancer among African-American women [OR = 1.22; 95% confidence interval (CI) = 0.97-1.53] and White women (OR = 1.36; 95% CI = 1.19-1.57). In African-American women, the positive association with risk was more pronounced among high-grade serous tumors (OR = 1.31; 95% CI = 1.01-1.71) than with all other histotypes (OR = 1.05; 95% CI = 0.75-1.47). In White women, a significant association was observed irrespective of histotype (OR = 1.33; 95% CI = 1.12-1.56 and OR = 1.38; 95% CI = 1.15-1.66, respectively).

CONCLUSIONS

While genital powder use was more prevalent among African-American women, the associations between genital powder use and ovarian cancer risk were similar across race and did not materially vary by histotype.

IMPACT

This is one of the largest studies to date to compare the associations between genital powder use and ovarian cancer risk, overall and by histotype, between African-American and White women.

A Pooled Case-only Analysis of Reproductive Risk Factors and Breast Cancer Subtype Among Black Women in the Southeastern United States

BACKGROUND

We investigated the association between reproductive risk factors and breast cancer subtype in Black women. On the basis of the previous literature, we hypothesized that the relative prevalence of specific breast cancer subtypes might differ according to reproductive factors.

METHODS

We conducted a pooled analysis of 2,188 (591 premenopausal, 1,597 postmenopausal) Black women with a primary diagnosis of breast cancer from four studies in the southeastern United States. Breast cancers were classified by clinical subtype. Case-only polytomous logistic regression models were used to estimate ORs and 95% confidence intervals (CI) for HER2⁺ and triple-negative breast cancer (TNBC) status in relation to estrogen receptor-positive (ER⁺)/HER2^- status (referent) for reproductive risk factors.

RESULTS

Relative to women who had ER⁺/HER2^- tumors, women who were age 19-24 years at first birth (OR, 1.78; 95% CI, 1.22-2.59) were more likely to have TNBC. Parous women were less likely to be diagnosed with HER2⁺ breast cancer and more likely to be diagnosed with TNBC relative to ER⁺/HER2^- breast cancer. Postmenopausal parous women who breastfed were less likely to have TNBC [OR, 0.65 (95% CI, 0.43-0.99)].

CONCLUSIONS

This large pooled study of Black women with breast cancer revealed etiologic heterogeneity among breast cancer subtypes.

IMPACT

Black parous women who do not breastfeed are more likely to be diagnosed with TNBC, which has a worse prognosis, than with ER⁺/HER2^- breast cancer.

Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk

We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.

First- and second-degree family history of ovarian and breast cancer in relation to risk of invasive ovarian cancer in African American and white women

Family history (FH) of ovarian cancer and breast cancer are well-established risk factors for ovarian cancer, but few studies have examined this association in African American (AA) and white women by histotype. We assessed first- and second-degree FH of ovarian and breast cancer and risk of epithelial ovarian cancer in the Ovarian Cancer in Women of African Ancestry Consortium. Analyses included 1052 AA cases, 2328 AA controls, 2380 white cases and 3982 white controls. Race-specific odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multilevel logistic regression with adjustment for covariates. Analyses were stratified by histotype (high-grade serous vs others). First-degree FH of ovarian cancer was associated with high-grade serous carcinoma in AA (OR = 2.32, 95% CI: 1.50, 3.59) and white women (OR = 2.48, 95% CI: 1.82, 3.38). First-degree FH of breast cancer increased risk irrespective of histotype in AAs, but with high-grade serous carcinoma only in white women. Associations with second-degree FH of ovarian cancer were observed for overall ovarian cancer in white women and with high-grade serous carcinoma in both groups. First-degree FH of ovarian cancer and of breast cancer, and second-degree FH of ovarian cancer is strongly associated with high-grade serous ovarian carcinoma in AA and white women. The association of FH of breast cancer with high-grade serous ovarian carcinoma is similar in white women and AA women, but may differ for other histotypes.

Prevalence of Anemia and Compliance With NCCN Guidelines for Evaluation and Treatment of Anemia in Patients With Gynecologic Cancer

BACKGROUND

NCCN recommends evaluation and treatment of all patients with cancer who have anemia. Few studies have evaluated the prevalence of anemia among patients with gynecologic cancer and compliance with the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Hematopoietic Growth Factors.

METHODS

We performed a single-institution retrospective cohort study of patients diagnosed with primary gynecologic cancer between 2008 and 2018. We identified tumor registry-confirmed patients using ICD-O codes from the Synthetic Derivative database, a deidentified copy of Vanderbilt's electronic medical records. Patients were included if they were between ages 18 and 89 years, received initial care at Vanderbilt University Medical Center, and had a hemoglobin measurement within the first 6 months of diagnosis. Anemia was defined as a hemoglobin level ≤11 g/dL and was graded using CTCAE version 5.0.

RESULTS

A total of 939 patients met inclusion criteria, with a median age of 60 years. The most common malignancy was uterine cancer. At the time of cancer diagnosis, 186 patients (20%) were noted to have anemia. Within 6 months of diagnosis, 625 patients (67%) had anemia, of whom 200 (32%) had grade 3 anemia and 209 (33%) underwent any evaluation of anemia, including 80 (38%) with iron studies performed. Of the patients with iron studies performed, 7 (9%) had absolute iron deficiency and 7 (9%) had possible functional iron deficiency. Among those with anemia within 6 months of diagnosis, 260 (42%) received treatment for anemia, including blood transfusion (n=205; 79%), oral iron (n=57; 22%), intravenous iron (n=8; 3%), vitamin B12 (n=37; 14%), and folate supplementation (n=7; 3%). Patients with ovarian cancer were significantly more likely to have anemia and undergo evaluation and treatment of anemia.

CONCLUSIONS

Anemia is pervasive among patients with gynecologic cancer, but compliance with the NCCN Guidelines is low. Our data suggest that there are opportunities for improvement in the evaluation and management of anemia.

Abstract PO-180: Genital powder use and risk of epithelial ovarian cancer in the Ovarian Cancer in Women of African Ancestry Consortium

PURPOSE: To date, the epidemiology of epithelial ovarian cancer (EOC) among African-American women has been severely understudied. It remains unclear to what extent variation in the prevalence of EOC risk factors may explain incidence disparities between African-American and white women. Genital powder use is more common among African-American women; however, studies of genital power use and EOC risk have been conducted predominantly in white populations, and histotype specific analyses among African-American populations are limited. The objective of this study was to evaluate the association between genital powder use and EOC risk among African-American and white women, overall and by histotype.

METHODS: We used data from four ovarian cancer case-control studies in the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium: the African American Cancer Epidemiology Study, the Los Angeles County Ovarian Cancer Study, the Cook County Case-Control Study, and the North Carolina Ovarian Cancer Study. Participants included 601 African-American cases, 1,012 African-American controls, 2,225 white cases, and 3,086 white controls who answered questions on genital powder use prior to 2014. The association between genital powder use and EOC risk was estimated using logistic regression. Pooled histotype specific odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using polytomous logistic regression. The population attributable risk (PAR) by race was calculated using the Bruzzi method. RESULTS: The prevalence of reporting ever genital powder use was 66% among African-American women and 44% among white women. African- American women who ever used genital powder were 29% more likely to develop EOC compared to African-American women who reported no use (OR=1.29, 95% CI=0.98-1.71). White women who ever used genital powder were 36% more likely to develop EOC compared to white women reporting no use (OR=1.36, 95% CI=1.12- 1.52). The associations were similar when examined by histotype. Among African- American women, the ORs were 1.29 (95% CI=0.94-1.76) for high grade serous (HGS) and 1.38 (95% CI=0.87-2.19) for non-HGS. For white women, the corresponding ORs were 1.27 (95% CI=1.06-1.52) and 1.21 (95% CI=0.96-1.56), respectively. The PAR for genital powder use was slightly higher, but not statistically significantly different, in African-American women (PAR=10.7, 95% CI=3.7-17.5) compared to white women (PAR=7.8, 95% CI=4.9-10.7). CONCLUSION: While the prevalence of ever genital body powder use was higher among African-American women, the associations between genital powder use and ovarian cancer risk were similar between African-American and white women, and did not materially vary by histotype. Further analyses incorporating additional OCWAA studies and using more refined exposure categories (e.g., frequency and duration of powder use, age at first application) are currently being conducted.

Citation Format: Colette P. Davis, Elisa V. Bandera, Traci N. Bethea, Tareq F. Camacho, Charlotte E. Joslin, Anna H. Wu, Alicia Beeghly-Fadiel, Emily K. Cloyd, Patricia G. Moorman, Evan Myers, Heather M. Ochs-Balcom, Lauren C. Peres, Will L. Rosenow, Veronica W. Setiawan, Lynn Rosenberg, Joellen M Schildkraut, Holly R. Harris. Genital powder use and risk of epithelial ovarian cancer in the Ovarian Cancer in Women of African Ancestry Consortium [abstract]. In: Proceedings of the AACR Virtual Conference: Thirteenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2020 Oct 2-4. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(12 Suppl):Abstract nr PO-180.

Racial Differences in Population Attributable Risk for Epithelial Ovarian Cancer in the OCWAA Consortium

BACKGROUND

The causes of racial disparities in epithelial ovarian cancer (EOC) incidence remain unclear. Differences in the prevalence of ovarian cancer risk factors may explain disparities in EOC incidence among African American (AA) and White women.

METHODS

We used data from 4 case-control studies and 3 case-control studies nested within prospective cohorts in the Ovarian Cancer in Women of African Ancestry Consortium to estimate race-specific associations of 10 known or suspected EOC risk factors using logistic regression. Using the Bruzzi method, race-specific population attributable risks (PAR) were estimated for each risk factor individually and collectively, including groupings of exposures (reproductive factors and modifiable factors). All statistical tests were 2-sided.

RESULTS

Among 3244 White EOC cases and 9638 controls and 1052 AA EOC cases and 2410 controls, AA women had a statistically significantly higher PAR (false discovery rate [FDR] P < .001) for first-degree family history of breast cancer (PAR = 10.1%, 95% confidence interval [CI] = 6.5% to 13.7%) compared with White women (PAR = 2.6%, 95% CI = 0.8% to 4.4%). After multiple test correction, AA women had a higher PAR than White women when evaluating all risk factors collectively (PAR = 61.6%, 95% CI = 48.6% to 71.3% vs PAR = 43.0%, 95% CI = 32.8% to 51.4%, respectively; FDR P = .06) and for modifiable exposures, including body mass index, oral contraceptives, aspirin, and body powder (PAR = 36.0%, 95% CI = 21.0% to 48.8% vs PAR = 13.8%, 95% CI = 4.5% to 21.8%, respectively; FDR P = .04).

CONCLUSIONS

Collectively, the selected risk factors accounted for slightly more of the risk among AA than White women, and interventions to reduce EOC incidence that are focused on multiple modifiable risk factors may be slightly more beneficial to AA women than White women at risk for EOC.

Platelets, Thrombocytosis, and Ovarian Cancer Prognosis: Surveying the Landscape of the Literature

Platelets are critical components of a number of physiologic processes, including tissue remodeling after injury, wound healing, and maintenance of vascular integrity. Increasing evidence suggests that platelets may also play important roles in cancer. In ovarian cancer, thrombocytosis, both at the time of initial diagnosis and at recurrence, has been associated with poorer prognosis. This review describes current evidence for associations between thrombocytosis and ovarian cancer prognosis and discusses the clinical relevance of platelet count thresholds and timing of assessment. In addition, we discuss several mechanisms from in vitro, in vivo, and clinical studies that may underlie these associations and recommend potential approaches for novel therapeutic targets for this lethal disease.

Development and Validation of the Gene Expression Predictor of High-grade Serous Ovarian Carcinoma Molecular SubTYPE (PrOTYPE)

PURPOSE

Gene expression-based molecular subtypes of high-grade serous tubo-ovarian cancer (HGSOC), demonstrated across multiple studies, may provide improved stratification for molecularly targeted trials. However, evaluation of clinical utility has been hindered by nonstandardized methods, which are not applicable in a clinical setting. We sought to generate a clinical grade minimal gene set assay for classification of individual tumor specimens into HGSOC subtypes and confirm previously reported subtype-associated features.

EXPERIMENTAL DESIGN

Adopting two independent approaches, we derived and internally validated algorithms for subtype prediction using published gene expression data from 1,650 tumors. We applied resulting models to NanoString data on 3,829 HGSOCs from the Ovarian Tumor Tissue Analysis consortium. We further developed, confirmed, and validated a reduced, minimal gene set predictor, with methods suitable for a single-patient setting.

RESULTS

Gene expression data were used to derive the predictor of high-grade serous ovarian carcinoma molecular subtype (PrOTYPE) assay. We established a de facto standard as a consensus of two parallel approaches. PrOTYPE subtypes are significantly associated with age, stage, residual disease, tumor-infiltrating lymphocytes, and outcome. The locked-down clinical grade PrOTYPE test includes a model with 55 genes that predicted gene expression subtype with >95% accuracy that was maintained in all analytic and biological validations.

CONCLUSIONS

We validated the PrOTYPE assay following the Institute of Medicine guidelines for the development of omics-based tests. This fully defined and locked-down clinical grade assay will enable trial design with molecular subtype stratification and allow for objective assessment of the predictive value of HGSOC molecular subtypes in precision medicine applications.See related commentary by McMullen et al., p. 5271.

Expression of p52, a non-canonical NF-kappaB transcription factor, is associated with poor ovarian cancer prognosis

BACKGROUND

The canonical and non-canonical nuclear factor-kappaB (NF-κB) signaling pathways have key roles in cancer, but studies have previously evaluated only the association of canonical transcription factors and ovarian cancer survival. Although a number of in vitro and in vivo studies have demonstrated mechanisms by which non-canonical NF-κB signaling potentially contributes to ovarian cancer progression, a prognostic association has yet to be shown in the clinical context.

METHODS

We assayed p65 and p52 (major components of the canonical and non-canonical NF-κB pathways) by immunohistochemistry in epithelial ovarian tumor samples; nuclear and cytoplasmic staining were semi-quantified by H-scores and dichotomized at median values. Associations of p65 and p52 with progression-free survival (PFS) and overall survival (OS) were quantified by Hazard Ratios (HR) from proportional-hazards regression.

RESULTS

Among 196 cases, median p52 and p65 H-scores were higher in high-grade serous cancers. Multivariable regression models indicated that higher p52 was associated with higher hazards of disease progression (cytoplasmic HR: 1.54; nuclear HR: 1.67) and death (cytoplasmic HR: 1.53; nuclear HR: 1.49), while higher nuclear p65 was associated with only a higher hazard of disease progression (HR: 1.40) in unadjusted models. When cytoplasmic and nuclear staining were combined, p52 remained significantly associated with increased hazards of disease progression (HR: 1.91, p = 0.004) and death (HR: 1.70, p = 0.021), even after adjustment for p65 and in analyses among only high-grade serous tumors.

CONCLUSIONS

This is the first study to demonstrate that p52, a major component of non-canonical NF-κB signaling, may be an independent prognostic factor for epithelial ovarian cancer, particularly high-grade serous ovarian cancer. Approaches to inhibit non-canonical NF-κB signaling should be explored as novel ovarian cancer therapies are needed.

Prognostic gene expression signature for high-grade serous ovarian cancer

BACKGROUND

Median overall survival (OS) for women with high-grade serous ovarian cancer (HGSOC) is ∼4 years, yet survival varies widely between patients. There are no well-established, gene expression signatures associated with prognosis. The aim of this study was to develop a robust prognostic signature for OS in patients with HGSOC.

PATIENTS AND METHODS

Expression of 513 genes, selected from a meta-analysis of 1455 tumours and other candidates, was measured using NanoString technology from formalin-fixed paraffin-embedded tumour tissue collected from 3769 women with HGSOC from multiple studies. Elastic net regularization for survival analysis was applied to develop a prognostic model for 5-year OS, trained on 2702 tumours from 15 studies and evaluated on an independent set of 1067 tumours from six studies.

RESULTS

Expression levels of 276 genes were associated with OS (false discovery rate < 0.05) in covariate-adjusted single-gene analyses. The top five genes were TAP1, ZFHX4, CXCL9, FBN1 and PTGER3 (P < 0.001). The best performing prognostic signature included 101 genes enriched in pathways with treatment implications. Each gain of one standard deviation in the gene expression score conferred a greater than twofold increase in risk of death [hazard ratio (HR) 2.35, 95% confidence interval (CI) 2.02-2.71; P < 0.001]. Median survival [HR (95% CI)] by gene expression score quintile was 9.5 (8.3 to -), 5.4 (4.6-7.0), 3.8 (3.3-4.6), 3.2 (2.9-3.7) and 2.3 (2.1-2.6) years.

CONCLUSION

The OTTA-SPOT (Ovarian Tumor Tissue Analysis consortium - Stratified Prognosis of Ovarian Tumours) gene expression signature may improve risk stratification in clinical trials by identifying patients who are least likely to achieve 5-year survival. The identified novel genes associated with the outcome may also yield opportunities for the development of targeted therapeutic approaches.

Abstract 1180: Estimating the contribution of epidemiologic risk factors to racial differences in epithelial ovarian cancer incidence

Purpose. Although the incidence of epithelial ovarian cancer is highest among non-Hispanic white women, African-American women have the worst survival of all racial/ethnic groups. We hypothesize that differences in the prevalence of known and suspected ovarian cancer risk factors may explain a portion of the differences in incidence of epithelial ovarian cancer between white and African-American women.

Methods. We used data from seven U.S. studies in the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium, the North Carolina Ovarian Cancer Study (NCOCS), the Los Angeles Ovarian Cancer Study (LACOCS), the African-American Cancer Epidemiology Study (AACES), the Cook County Case-Control Study (CCCCS), the Black Women's Health Study (BWHS), the Women's Health Initiative (WHI), and the Multiethnic Cohort Study (MEC). The association between each known or suspected ovarian cancer risk factor (age, parity, oral contraceptive use, tubal ligation, body mass index (BMI), family history of ovarian and breast cancer, menopausal status, education, hysterectomy, aspirin use, talcum powder applied to genital areas, endometriosis, and age at menarche) was estimated using logistic regression with study site interactions to capture heterogeneity across studies. Using the Bruzzi method, population attributable risks (PAR) were calculated by race for each risk factor individually and collectively for all risk factors.

Results. The comparison of 3,249 white ovarian cancer cases and 9,650 controls to 1,054 African-American cases and 2,410 controls revealed notable differences in the PAR of several risk factors by race. African-American women had a statistically significantly higher PAR for family history of breast cancer and BMI ≥30kg/m2compared to white women (10.0% vs. 2.5% and 8.9% vs. 0.4%, respectively). Although not statistically significant, white women had a higher PAR for oral contraceptive use (duration &lt;5 years) and not having had a tubal ligation than African-American women. When evaluating all risk factors collectively, the overall PAR was 63.9% for African-American women and 48.0% for white women. We also calculated overall PARs excluding WHI due to differences in the inclusion criteria for WHI compared to the other population-based studies in OCWAA: 65.7% for African-American women and 57.8% for white women.

Conclusions. Our findings suggest that the known and suspected ovarian cancer risk factors investigated in this study may be partially responsible for differences in ovarian cancer incidence between white and African-American women. Although important across both racial groups, collectively, the factors studied accounted for slightly more of the ovarian cancer risk among African-American women than white women.

Citation Format: Lauren C. Peres, Tareq F. Camacho, Elisa V. Bandera, Traci N. Bethea, Charlotte E. Joslin, Anna H. Wu, Alicia Beeghly-Fadiel, Emily K. Cloyd, Holly R. Harris, Patricia G. Moorman, Evan Myers, Heather M. Ochs-Balcom, Will L. Rosenow, Veronica W. Setiawan, Lynn Rosenberg, Joellen M. Schildkraut. Estimating the contribution of epidemiologic risk factors to racial differences in epithelial ovarian cancer incidence [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1180.

Abstract 5788: Area deprivation index and ovarian cancer survival: Preliminary findings for two validated measures

Objective: Individual-level measures of socioeconomic status (SES), such as income and education, have been well-studied in relation to ovarian cancer survival. Emerging evidence suggests that area-level measures, which incorporate the affluence and resources of a neighborhood, may be significant drivers of these associations. Existing studies on the role of area-level deprivation and cancer outcomes are limited; no studies to date have examined validated state and national-level area-deprivation indices in the context of ovarian cancer. We therefore undertook this study to elucidate relationships between Area Deprivation Index (ADI), clinical characteristics, and ovarian cancer progression and survival.

Methods: We abstracted clinical data from electronic medical records for epithelial ovarian cancer cases from the Vanderbilt University Medical Center (VUMC). Patient addresses at the time of treatment were used to ascertain state and national ADIs based on 17 measures from the Census and American Community Survey, including regional education, employment, and housing-quality indices. We used Pearson's coefficient to quantify correlations between continuous variables and the Wilcoxon rank-sum test to assess associations between ADI and clinical characteristics. Associations with progression-free survival (PFS) and overall survival (OS) were quantified by hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional-hazards regression. P-values ≤ 0.05 were considered statistically significant.

Results: Among 183 epithelial ovarian cancer cases from the VUMC, state and national ADIs were highly correlated (r = 0.94, p &lt; 0.001). Neither were significantly associated with race, grade, stage, histologic subtype, platinum sensitivity, or residual disease after surgical debulking. The median state ADI was 5.0 (scale: 1-10) and the median national ADI was 61.5 (scale: 1-100). Cases with higher than median state or national ADIs, indicating living in an area with more deprivation, did not have significantly different PFS in crude or multivariable models or OS in crude models. However, after adjustment for age, race, stage of disease, and grade, having a higher ADI was associated with approximately 40% shorter OS (state: HR: 1.40, CI: 1.01-1.94; national: HR: 1.44, CI: 1.03-2.00).

Conclusions: Our preliminary findings support the hypothesis that increasing area-level deprivation negatively impacts ovarian cancer survival. Additional research to include additional clinical characteristics and replicate this association in a larger study population are currently underway.

Citation Format: Demetra H. Hufnagel, Andrew J. Wilson, Fiona E. Yull, Pamela C. Hull, Joellen Schildkraut, Marta A. Crispens, Alicia Beeghly-Fadiel. Area deprivation index and ovarian cancer survival: Preliminary findings for two validated measures [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5788.

A Mendelian randomization analysis of circulating lipid traits and breast cancer risk

BACKGROUND

Conventional epidemiologic studies have evaluated associations between circulating lipid levels and breast cancer risk, but results have been inconsistent. As Mendelian randomization analyses may provide evidence for causal inference, we sought to evaluate potentially unbiased associations between breast cancer risk and four genetically predicted lipid traits.

METHODS

Previous genome-wide association studies (GWAS) have identified 164 discrete variants associated with high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), triglycerides and total cholesterol. We used 162 of these unique variants to construct weighted genetic scores (wGSs) for a total of 101 424 breast cancer cases and 80 253 controls of European ancestry from the Breast Cancer Association Consortium (BCAC). Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for associations between per standard deviation increase in genetically predicted lipid traits and breast cancer risk. Additional Mendelian randomization analysis approaches and sensitivity analyses were conducted to assess pleiotropy and instrument validity.

RESULTS

Corresponding to approximately 15 mg/dL, one standard deviation increase in genetically predicted HDL-C was associated with a 12% increased breast cancer risk (OR: 1.12, 95% CI: 1.08-1.16). Findings were consistent after adjustment for breast cancer risk factors and were robust in several sensitivity analyses. Associations with genetically predicted triglycerides and total cholesterol were inconsistent, and no association for genetically predicted LDL-C was observed.

CONCLUSIONS

This study provides strong evidence that circulating HDL-C may be associated with an increased risk of breast cancer, whereas LDL-C may not be related to breast cancer risk.

Abstract A15: Noncanonical NF-kappaB signaling is associated with poor ovarian cancer prognosis

Objective: Mediated by a family of transcription factors, the canonical and noncanonical nuclear factor-kappaB (NF-kB) signaling pathways have key roles in inflammation, innate immunity, and cancer development and progression. As prior ovarian cancer studies have evaluated only canonical NF-kB transcription factors in relation to survival, this study was undertaken to evaluate both canonical and noncanonical NF-kB pathway components in tumor samples from epithelial ovarian cancer cases from the Vanderbilt Tissue Repository for Ovarian Cancer (TROC).

Methods: We abstracted clinical data from electronic medical records and assayed p65 (representing the canonical NF-kB pathway) and p52 (representing the noncanonical NF-kB pathway) by immunohistochemistry for 197 TROC samples. Nuclear and cytoplasmic staining in tumor cells was semiquantified by H-scores and dichotomized at median values. Associations with progression-free survival (PFS) and overall survival (OS) were quantified by hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional-hazards regression.

Results: Median cytoplasmic and nuclear p65 and p52 H-scores were significantly higher among high-grade and serous cases; median p52 H-scores were also significantly higher among late-stage cases and patients treated with chemotherapy (all Wilcoxon rank sum p&lt;0.05). In unadjusted regression models, higher nuclear p65 and higher nuclear p52 were associated with approximately 40% and 70% shorter PFS and OS, respectively, but these associations were attenuated by adjustment for age, stage, tumor type, race, chemotherapy, and residual disease. In multivariable adjusted models, higher cytoplasmic p52 was associated with more than 50% shorter PFS (HR 1.68, 95% CI 1.18-2.39) and OS (HR 1.53, 95% CI 1.06-2.21). Furthermore, when cytoplasmic and nuclear staining were combined, and mutually adjusted models included both p52 and p65, only p52 remained associated with worse PFS (HR 1.57, 95% CI 1.10-2.37) and OS (HR 1.51, 95% CI 1.05-2.15).

Conclusions: This is the first study to demonstrate that p52, representing noncanonical NF-kB signaling, may be an independent prognostic factor for epithelial ovarian cancer. Approaches to inhibit noncanonical NF-kB signaling should be explored as novel therapies for ovarian cancer are needed.

Citation Format: Demetra Hufnagel, Andrew J. Wilson, Jamie Saxon, Dineo Khabele, Timothy Blackwell, Marta A. Crispens, Fiona Yull, Alicia Beeghly-Fadiel. Noncanonical NF-kappaB signaling is associated with poor ovarian cancer prognosis [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research; 2019 Sep 13-16, 2019; Atlanta, GA. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(13_Suppl):Abstract nr A15.

Abstract B54: Adipogenic chemokines, body mass index, and ovarian cancer survival

Objectives: Obesity affects more than one-third of US adults and promotes the development and progression of many cancers. One mechanism by which obesity may influence ovarian cancer is via adipocyte-tumor cell communication, including the production of chemotactic cytokines, or chemokines, in the tumor microenvironment. Our goal was to measure adipogenic chemokine expression and examine associations with body mass index (BMI) and ovarian cancer survival.

Methods: We selected 25 chemokines from laboratory experiments that modeled adipogenesis, of which 22 had expression data available for 302 high-grade serous ovarian cancer cases from The Cancer Genome Atlas (TCGA). We measured mRNA expression using Taqman quantitative real-time polymerase chain reaction (QPCR) in 50 high-grade serous tumor samples and ascertained BMI from electronic medical records (EMR) from the Vanderbilt University Medical Center (VUMC). We also evaluated peri-diagnosis BMI (± 4 weeks) from EMR for 298 tumor registry-confirmed (165 serous and 133 nonserous) cases. Expression data were log transformed and dichotomized at median values; associations with disease-free survival (DFS) and overall survival (OS) were quantified using proportional hazards regression.

Results: In TCGA analyses, two ligands and one receptor had significant associations with better (CCL8 and CXCL13) and worse (CX3CR1) OS, respectively. Higher CXCL13 expression was also associated with better DFS in VUMC tumors, but significance was attenuated after adjustment for clinical covariates. CX3CR1 was not expressed in all tumors but was positively associated with BMI (Pearson’s r=0.69, P=0.019). Finally, among all 298 tumor registry-confirmed VUMC cases, BMI was not associated with OS, although higher BMI was associated with a 4% significantly increased risk of death among 133 nonserous cases.

Conclusions: Our findings suggest that obesity impacts chemokine expression in the tumor microenvironment and ovarian cancer survival. Further, differences between serous and nonserous subtypes may influence the relationship between obesity and ovarian cancer prognosis.

Citation Format: Sara Duque, Nneka Anyanwu, George Bukenya, Shriya Karam, Deok-Soo Son, Andrew J. Wilson, Marta A. Crispens, Alicia Beeghly-Fadiel. Adipogenic chemokines, body mass index, and ovarian cancer survival [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research; 2019 Sep 13-16, 2019; Atlanta, GA. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(13_Suppl):Abstract nr B54.

Abstract C070: Racial disparities in body mass index and ovarian cancer risk in the OCWAA Consortium

Objective: Obesity disproportionately affects African American (AA) women, and there is some suggestion that its association with ovarian cancer risk may be stronger among AA compared to white women, but no study to date has been adequately powered to compare risk between the two populations. The Ovarian Cancer in Women of African Ancestry (OCWAA) Consortium provided a unique opportunity to evaluate the association between body mass index (BMI) and invasive epithelial ovarian cancer (EOC) risk in AA and white women and to estimate the contribution of obesity to ovarian cancer risk in both racial groups. Methods: The OCWAA Consortium is a collaboration of six of the largest epidemiologic studies of ovarian cancer in the United States that include AA women: four case-control and two case-control studies nested within cohort studies. The six studies are the Chicago Case-Control Study, the North Carolina Ovarian Cancer Study, the Los Angeles Ovarian Cancer Case-Control Studies, the African American Cancer Epidemiology Study, the Black Women’s Health Study, and the Multiethnic Cohort. BMI before diagnosis was available in all the studies and data on BMI and relevant confounders were harmonized for analyses. There were 1,144 AA cases, 2,910 AA controls, 3,174 white cases, and 9,160 white controls included. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were computed using random-effects multi-level logistic regression models separately by race and histotype with control for relevant covariates, which included study, age, education, parity, oral contraceptive use, age at menarche and family history of breast/ovarian cancer. Multinomial regression was used for histotype analyses. Population attributable risk (PAR) estimates were computed by race and histotype. Results: The prevalence of obesity (BMI≥30 kg/m2) was higher in AAs compared to white women for both cases (53.2% vs 21.4%) and controls (45.7% vs. 18.4%). For EOC, there was little evidence of an association with obesity for white women. For AAs, risk was elevated for BMI≥30 kg/m2 (ORBMI 30-34=1.37, 95% CI: 1.12, 1.69; ORBMI≥35 = 1.26, 95% CI: 0.74, 2.15) relative to BMI 18.5-&lt;25 kg/m2. There was an elevated risk for non-high-grade serous EOC for both AA and white women (for AA women, ORBMI 30-34=1.67, 95% CI: 1.14, 2.44 and ORBMI≥35 = 1.76; 95% CI: 0.84, 3.69; for white women, ORBMI ≥35 = 1.39; 95% CI: 1.06, 1.82), but not for high-grade serous EOC. The PAR for BMI≥30 was 7.1% (95% CI: 2.4, 15.6) for AAs and 2.6% (95% CI: -0.3, 5.4) for whites for all EOC. For non-high-grade serous EOC, the PAR was 16.5% (95% CI: 3.4, 28.2) for AAs and 6.4% (95% CI: 2.2, 10.3) for whites. Conclusions: Obesity was a contributor to overall EOC risk among AA women but not among white women. Obesity did not contribute to the risk of high-grade serous EOC for AAs or whites, but it was associated with non-high-grade serous cases among both AA and white women. The association with non-high-grade serous EOC was greater among AAs than whites.

Citation Format: Elisa V Bandera, Fabian Camacho, Deanna Chyn, Emily K Cloyd, Traci N Bethea, Alicia Beeghly-Fadiel, Charlotte E Joslin, Evan Myers, Patricia G Moorman, Heather M Ochs-Balcom, Holly R Harris, Lauren C Peres, Veronica Wendy Setiawan, Anna H Wu, Lynn Rosenberg, Joellen M Schildkraut. Racial disparities in body mass index and ovarian cancer risk in the OCWAA Consortium [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr C070.

Abstract B118: Characteristics of patients with pseudoangiomatous stromal hyperplasia (PASH): A retrospective cohort study

Background: Pseudoangiomatous stromal hyperplasia (PASH) is a proliferative mesenchymal lesion of the breast histologically defined by dense collagenous stroma with spindle-shaped myofibroblasts. Characterization of patients with PASH has largely been limited to histologic and radiographic studies with small sample sizes due to the rarity of this benign condition. Furthermore, no existing studies of PASH have yet to consider race. Objectives: We undertook this study to identify subjects with PASH from electronic medical records (EMR) at the Vanderbilt University Medical Center (VUMC) and evaluate patient characteristics, including differences by race. Approach: We used natural language processing (NLP)-assisted searches to identify 283 subjects with pathology reports containing ‘PASH’ or ‘pseudoangiomatous stromal hyperplasia’. Results: We confirmed PASH by pathology report for 229 subjects (80.9%). The majority were Caucasian women, although 24 African Americans (10.5%) and 4 males (1.7%) with PASH were also identified. A total of 27 (11.8%) had a diagnosis of cancer as some point in their EMR, most frequently breast (74.1%) or thyroid (14.8%) cancer. The median age at PASH diagnosis was 45.4 years (range: 12.9-84.6) but this seemed lower among Asians (31.4 years). PASH was found more frequently in the left breast (54.8%) and was ascertained most often by core needle biopsy (76.0%), stereotactic needle biopsy (11.8%), or excision (7.0%). Among initially biopsied patients, 20 (9.9%) and 39 (19.3%) had subsequent biopsies and excisions, respectively. No significant differences in any of these characteristics by race were identified. Conclusions: This data confirms that PASH is not exclusive to Caucasians and suggests that patient characteristics do not differ by race. Analysis of additional characteristics and patient outcomes, with inclusion of EMR time, is currently underway.

Citation Format: George Bukenya, Demetra Hufnagel, Nneka Anyawu, Stephanie Kurita, Alicia Beeghly-Fadiel. Characteristics of patients with pseudoangiomatous stromal hyperplasia (PASH): A retrospective cohort study [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr B118.

Abstract C069: Body mass index, race, and ovarian cancer: Characterizing changes after diagnosis and associations with overall survival

Background: Obesity has been implicated in the progression of ovarian cancer, but associations between body mass index (BMI) and survival outcomes are mixed. Studies evaluating pre- or peri-diagnosis BMI have generally found associations between higher BMI and worse overall survival (OS), but studies with post-diagnosis BMI measures are limited. Furthermore, no existing post-diagnosis BMI and ovarian cancer survival studies have conducted analyses stratified by race. Objective: We undertook this study to characterize changes over time in BMI among ovarian cancer cases from the Vanderbilt University Medical Center (VUMC) and to evaluate associations in relation to overall survival (OS); differences by race were examined in stratified analyses. Methods: We assembled a retrospective cohort of Tumor Registry confirmed ovarian cancer cases from VUMC EMR. BMI (kg/m2) at diagnosis, and 6, 12, 18, and 24 months after diagnosis (±8 weeks) were used to classify obesity according to the World Health Organization (WHO) guidelines as underweight (&lt;18.5), normal weight (&lt;25), overweight (&lt;30), or obese (≥30.0). BMI changes over time were determined by the ratio of the last to first available measure, and categorized as increased (&gt;1.05%), decreased (&lt;0.95), or stable (reference). Associations with OS were quantified by Hazard Ratios (HRs) and 95% Confidence Intervals (CIs) from Cox proportional-hazards regression in multivariable adjusted race-stratified analyses. Results: Among 380 ovarian cancer cases with peri- or post-diagnosis BMI measures available from EMR, the relative prevalence of WHO normal weight cases decreased over time (diagnosis: 40.4%; 6 months: 38.2%; 12 months: 35.5%; 18 months: 27.7%; 24 months: 22.8%); there were more cases who had a decreased BMI (46.6%) than increased BMI (28.4%). Neither the prevalence nor percent of patients with changes differed by race. Among Caucasians (86.8%), a BMI increase was associated with a decreased risk of death (HR: 0.62, 95% CI: 0.40-0.97) while a BMI decrease was associated with an increased risk of death (HR: 2.18, 95% CI: 1.51-3.17). However, this seemed to differ among African Americans (6.1%), where both an increased and decreased BMI tended to have worse OS. Conclusions: Changes in BMI after a diagnosis of ovarian cancer may have different associations with mortality by race. To further expand upon these preliminary findings, our next steps include conducting analysis with time-varying covariates and identifying collaborators with ovarian cancer cases who have post-diagnosis BMI measures available for additional analysis.

Citation Format: Alicia Beeghly-Fadiel, Nneka J Anyanwu, Shyria Karam, Demetra Hufnagel, George Bukenya, Sara Duque, Deok Son, Andrew J Wilson, Marta A Crispens. Body mass index, race, and ovarian cancer: Characterizing changes after diagnosis and associations with overall survival [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr C069.

CCNE1 and BRD4 co-amplification in high-grade serous ovarian cancer is associated with poor clinical outcomes

Objective.

High-grade serous ovarian cancer (HGSOC) is the most common and lethal histological subtype of epithelial ovarian cancer. HGSOC with cyclin E1 gene (CCNE1) amplification and bromodomain and extraterminal 4 (BRD4) amplification have been associated with poor outcomes. Our objective was to evaluate clinical outcomes of HGSOC with co-amplification of CCNE1 and BRD4 and high protein expression of cyclin E and BRD4.

Methods.

Copy number amplification data were extracted from The Cancer Genome Atlas (TCGA) for 579 HGSOC. Reverse phase protein array (RPPA) TCGA data were used to determine cyclin E and BRD4 protein expression in 482 HGSOC. Cyclin E and BRD4 protein expression by immunohistochemistry (IHC) was evaluated in a tissue microarray (TMA) of 110 HGSOC. Measured clinical outcomes were survival and platinum sensitivity.

Results.

Of 30% of HGSOC with amplifications in CCNE1 or BRD4, 8% have both CCNE1 and BRD4 amplification. Protein expression of cyclin E and BRD4 are positively correlated, both by RPPA (r = 0.23; p < 0.001) and by IHC (r = 0.21; p = 0.025). Patients with CCNE1 and BRD4 co-amplified HGSOC have worse overall survival than patients without amplifications, 39.94 vs 48.06 months (p = 0.029). High protein expression of cyclin E, but not BRD4, was associated with poor overall survival (HR 1.62, 1.04–2.53, p = 0.033) and platinum resistance (p = 0.016).

Conclusion.

HGSOC with CCNE1 and BRD4 co-amplification are associated with poor overall survival. Further studies are warranted to determine the use of protein expression by IHC as a surrogate marker for CCNE1 and BRD4 co-amplified HGSOC.

Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes

Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes.

Abstract NT-088: PROGNOSTIC SIGNIFICANCE OF NR4A1/TR3 EXPRESSION IN OVARIAN CANCER

BACKGROUND: A key clinical challenge in ovarian cancer is identifying new strategies to treat patients who do not respond to poly ADP-ribose polymerase (PARP) inhibitor (PARPi) therapy. We previously linked the nuclear orphan receptor NR4A1/TR3 to pro-growth and pro-survival effects in ovarian cancer cells. However, it is unknown whether inhibiting NR4A1 function has therapeutic effects alone or in combination with PARPi in vitro. Moreover, the prognostic value of NR4A1 expression in patient tumors remains ill-defined, as two prior reports had contradictory findings for associations with ovarian cancer survival.

OBJECTIVE: We undertook this study to test the therapeutic potential of inhibiting NR4A1 in ovarian cancer cells, and to clarify the prognostic value of NR4A1 expression in patient tumors.

METHODS: In a panel of established ovarian cancer cell lines (OVCAR-3, OVCAR-4, SKOV-3), we inhibited NR4A1 using the chemical antagonist, 1,1-Bis(3'-indolyl)-1-(p-hydroxyphenyl) methane (C-DIM) and siRNA targeting NR4A1 (siNR4A1). Effects of C-DIM on cell growth, alone and in combination with the PARPi, olaparib and rucaparib, were assessed in sulforhodamine B (SRB) in vitro assays. Markers of apoptosis (cleaved PARP, cleaved caspase-3) and proliferation (Ki67, PCNA, p21) were measured by western blot or immunohistochemistry (IHC). In ovarian tumors, NR4A1 was measured by IHC in 203 clinically annotated formalin-fixed paraffin-embedded (FFPE) tissue samples from the Vanderbilt University Medical Center (VUMC) Tissue Repository for Ovarian Cancer (TROC). Staining intensity (1: weak; 2: moderate; 3: strong) and percent of positive nuclei (0-100) were multiplied to yield an H score for NR4A1 expression. Associations with progression-free survival (PFS) and overall survival (OS) were quantified by Hazards Ratios (HR) and 95% Confidence Intervals (CI) from proportional hazards regression.

RESULTS: In ovarian cancer cell lines, C-DIM induced concentration-dependent decreases in cell growth and markers of proliferation, and stimulated apoptosis. These effects were mimicked in cells transfected with siNR4A1 compared to a non-targeting siRNA-transfected control. In combination with PARPi, C-DIM induced synergistic growth inhibition and apoptosis in vitro. In tumors, NR4A1 expression lower than the median (H score &lt;153.6) was more common among later stage, higher grade, serous tumors with suboptimal cytoreduction or platinum resistant disease. Higher NR4A1 expression was associated with better OS (HR: 0.52, 95% CI: 0.37–0.74) in unadjusted analyses. However, after adjustment for important prognostic covariates, including age, stage, grade, and histologic subtype, higher NR4A1 was associated with significantly shorter PFS (HR: 2.35, 95% CI: 1.29–4.28).

CONCLUSIONS: Our current results reconcile the discrepancy between prior NR4A1 reports, as associations differed due to confounding by clinical covariates. Shorter survival among cases with higher NR4A1 expression is supported by experimental evidence showing reduced ovarian cancer cell growth and increased apoptosis following NR4A1 inhibition, both alone and when combined with a PARPi. Together, our findings support further development of NR4A1 inhibition as a novel therapeutic approach that could improve response to PARPi therapy among ovarian cancer patients with chemoresistant disease.

Citation Format: Alicia Beeghly-Fadiel, Johnathan Cooks, Dajah Chase, Marta Crispens, Dineo Khabele, and Andrew J Wilson. PROGNOSTIC SIGNIFICANCE OF NR4A1/TR3 EXPRESSION IN OVARIAN CANCER [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 NT-088.

Identifying Putative Susceptibility Genes and Evaluating Their Associations with Somatic Mutations in Human Cancers

Genome-wide association studies (GWASs) have identified hundreds of genetic risk variants for human cancers. However, target genes for the majority of risk loci remain largely unexplored. It is also unclear whether GWAS risk-loci-associated genes contribute to mutational signatures and tumor mutational burden (TMB) in cancer tissues. We systematically conducted cis-expression quantitative trait loci (cis-eQTL) analyses for 294 GWAS-identified variants for six major types of cancer-colorectal, lung, ovary, prostate, pancreas, and melanoma-by using transcriptome data from the Genotype-Tissue Expression (GTEx) Project, the Cancer Genome Atlas (TCGA), and other public data sources. By using integrative analysis strategies, we identified 270 candidate target genes, including 99 with previously unreported associations, for six cancer types. By analyzing functional genomic data, our results indicate that 180 genes (66.7% of 270) had evidence of cis-regulation by putative functional variants via proximal promoter or distal enhancer-promoter interactions. Together with our previously reported associations for breast cancer risk, our results show that 24 genes are shared by at least two cancer types, including four genes for both breast and ovarian cancer. By integrating mutation data from TCGA, we found that expression levels of 33 and 66 putative susceptibility genes were associated with specific mutational signatures and TMB of cancer-driver genes, respectively, at a Bonferroni-corrected p < 0.05. Together, these findings provide further insight into our understanding of how genetic risk variants might contribute to carcinogenesis through the regulation of susceptibility genes that are related to the biogenesis of somatic mutations.

Ovarian Cancer in Women of African Ancestry (OCWAA) consortium: a resource of harmonized data from eight epidemiologic studies of African American and white women

PURPOSE

Although the incidence rate of epithelial ovarian cancer (EOC) is somewhat lower in African American (AA) than white women, survival is worse. The Ovarian Cancer in Women of African Ancestry (OCWAA) consortium will overcome small, study-specific sample sizes to better understand racial differences in EOC risk and outcomes.

METHODS

We harmonized risk factors and prognostic characteristics from eight U.S.

STUDIES

the North Carolina Ovarian Cancer Study (NCOCS), the Los Angeles County Ovarian Cancer Study (LACOCS), the African American Cancer Epidemiology Study (AACES), the Cook County Case-Control Study (CCCCS), the Black Women's Health Study (BWHS), the Women's Health Initiative (WHI), the Multiethnic Cohort Study (MEC), and the Southern Community Cohort Study (SCCS).

RESULTS

Determinants of disparities for risk and survival in 1,146 AA EOC cases and 2,922 AA controls will be compared to 3,368 white EOC cases and 10,270 white controls. Analyses include estimation of population-attributable risk percent (PAR%) by race.

CONCLUSION

OCWAA is uniquely positioned to study the epidemiology of EOC in AA women compared with white women to address disparities. Studies of EOC have been underpowered to address factors that may explain AA-white differences in the incidence and survival. OCWAA promises to provide novel insight into disparities in ovarian cancer.

Two truncating variants in FANCC and breast cancer risk

Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44-1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.

Urinary PGE-M Levels and Risk of Ovarian Cancer

BACKGROUND

Regular aspirin use may lower ovarian cancer risk by blocking the cyclooxygenase enzymes, resulting in lower expression of prostaglandins, including prostaglandin E2 (PGE2). We evaluated whether higher prediagnosis PGE-M (a urinary biomarker of PGE2) was associated with increased ovarian cancer risk in three prospective cohorts.

METHODS

We conducted a case-control study nested in the Nurses' Health Study (NHS), NHSII, and Shanghai Women's Health Study. Our analyses included 304 cases of epithelial ovarian cancer diagnosed from 1996 to 2015 and 600 matched controls. We measured urinary PGE-M using LC/MS with normalization to creatinine. Measures from each study were recalibrated to a common standard. We estimated ORs and 95% confidence intervals (CI) using conditional logistic regression, with PGE-M levels modeled in quartiles. Multivariable models were adjusted for ovarian cancer risk factors.

RESULTS

There was no evidence of an association between urinary PGE-M levels and ovarian cancer risk for women with PGE-M levels in the top versus bottom quartile (OR = 0.80; 95% CI, 0.51-1.27; P _trend = 0.37). We did not observe heterogeneity by histotype (P = 0.53), and there was no evidence of effect modification by body mass index (P _interaction = 0.82), aspirin use (P _interaction = 0.59), or smoking (P _interaction = 0.14).

CONCLUSIONS

Prediagnosis urinary PGE-M levels were not significantly associated with ovarian cancer risk. Larger sample sizes are needed to consider a more modest association and to evaluate associations for specific tumor subtypes.

IMPACT

Systemic prostaglandin levels do not appear strongly associated with ovarian cancer risk. Future research into aspirin use and ovarian cancer risk should consider local prostaglandins and prostaglandin-independent mechanisms.

Abstract 5114: Deep phenotype extraction to facilitate cancer research: Extending DeepPhe to ovarian cancer

Introduction: To facilitate research on personalized cancer medicine, we developed the DeepPhe system for deep phenotype extraction of computable longitudinal summaries from electronic medical records (EMR). DeepPhe provides an advanced natural language processing (NLP) pipeline capable of extracting cancer details from clinical notes, storage and export of the resulting details, and a visualization tool with interactive graphical capabilities at both the cohort and individual patient levels. Our initial software release included training and evaluation of breast cancer specific attributes (Savova et al. Cancer Research 2017). As part of our iterative process of testing and improving DeepPhe, we have recently expanded to ovarian cancer.

Methods: We used DeepPhe to extract ovarian cancer characteristics from EMR, including tumor location(s), laterality, temporality, and clinical and pathologic components of stage of disease at diagnosis. Tool performance was quantified by F1 scores, defined as the harmonic mean between precision and recall, with F1=1.00 indicating perfect performance, compared to the gold standard of information from manual data abstraction.

Results: Among a test set of 26 primary epithelial ovarian cancer cases with 1,675 annotated notes from UPMC, the overall F1 was 0.9327. F1 scores for attributes of tumor location, laterality, and temporality were 0.8621, 0.5000, and 1.000, respectively. Performance was perfect for all clinical stage of disease components (T, N, and M), while pathologic components scored 0.7879, 0.7692, and 0.9200, respectively. Evaluation of 16 additional UPMC cases is currently underway and ovarian cancer specific attributes are being expanded to include degree of surgical cytoreduction (debulking) and presence of residual disease. Generalizability will be further assessed by evaluating DeepPhe’s performance on EMR for 427 ovarian cancer cases from the Vanderbilt University Medical Center.

Conclusions: Our results demonstrate that DeepPhe can be adapted to additional cancer types without losing good-to-excellent performance characteristics. While some concepts, such as laterality, remain challenging for extraction, current results are considered adequate for semi-automated abstraction approaches. Further refinement and expansion to additional clinical and tumor characteristics, including genomics, tumor biomarkers, treatments, and patient outcomes are currently underway. Open-source and freely available for research use, DeepPhe tools (https://github.com/DeepPhe/DeepPhe-Release) can facilitate large-scale extraction of detailed information from EMR systems for research on cancer.

Citation Format: Alicia Beeghly-Fadiel, Jeremy L. Warner, Sean Finan, James Masanz, Harry Hochheiser, Guergana Savova. Deep phenotype extraction to facilitate cancer research: Extending DeepPhe to ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 5114.