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

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 anticancer 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 with control populations of patients with non–B-lymphoid malignancies. Among patients with B-lymphoid malignancies, those who received anticancer therapy within 12 months of COVID-19 diagnosis experienced increased COVID-19 severity compared with patients with non–recently treated B-lymphoid malignancies, 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.Significance:Our study suggests that recent therapy for a B-lymphoid malignancy is an independent risk factor for COVID-19 severity. These findings provide rationale to develop mitigation strategies targeted at the uniquely high-risk population of patients with recently treated B-lymphoid malignancies.This article is highlighted in the In This Issue feature, p. 171

Supplementary Figure from Patients Recently Treated for B-lymphoid Malignancies Show Increased Risk of Severe COVID-19

Association results between minor alleles of 467 variants incorportated in cross tissue gene expression prediction model for the gene of CRHR1.

PDF file, 199KB, Supplementary Table 1. TGF-β signaling pathway SNPs and breast cancer risk, Stage I. Supplementary Table 2. TGF-β signaling pathway variants showing an association with breast cancer risk (P value ≤0.05) in at least one genetic model, Stage 1. Supplementary Table 3. Results for TGF-β signaling pathway SNPs selected for Stage II evaluation (not presented in Table 3).

Summary results for all SNPs at the 4q24 locus associated with breast cancer risk at P

Background: A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored.Methods: We conducted a fine-mapping analysis in 55,540 breast cancer cases and 51,168 controls from the Breast Cancer Association Consortium.Results: Conditional analyses identified two independent association signals among women of European ancestry, represented by rs9790517 [conditional P = 2.51 × 10−4; OR, 1.04; 95% confidence interval (CI), 1.02–1.07] and rs77928427 (P = 1.86 × 10−4; OR, 1.04; 95% CI, 1.02–1.07). Functional annotation using data from the Encyclopedia of DNA Elements (ENCODE) project revealed two putative functional variants, rs62331150 and rs73838678 in linkage disequilibrium (LD) with rs9790517 (r2 ≥ 0.90) residing in the active promoter or enhancer, respectively, of the nearest gene, TET2. Both variants are located in DNase I hypersensitivity and transcription factor–binding sites. Using data from both The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), we showed that rs62331150 was associated with level of expression of TET2 in breast normal and tumor tissue.Conclusion: Our study identified two independent association signals at 4q24 in relation to breast cancer risk and suggested that observed association in this locus may be mediated through the regulation of TET2.Impact: Fine-mapping study with large sample size warranted for identification of independent loci for breast cancer risk. Cancer Epidemiol Biomarkers Prev; 24(11); 1680–91. ©2015 AACR.

Online Supplementary Documents

Background: As breast and ovarian cancers may have similar etiologies, this study aimed to evaluate the hypothesis that breast cancer shares common genetic susceptibility variants with ovarian cancer.Methods: Ten genetic variants in nine loci were previously identified to be associated with ovarian cancer risk among Caucasian women; an additional 353 variants in high-linkage disequilibrium (r2 ≥ 0.6) among Han Chinese were identified. Data were available from the Affymetrix Genome-Wide Array (6.0) or MACH imputation for 25 and 78 common genetic variants [minor allele frequency (MAF) ≥0.05], respectively. Associations with breast cancer risk were evaluated by additive logistic regression models among 2,918 breast cancer cases and 2,324 controls.Results: No associations with breast cancer risk were evident for 103 ovarian cancer susceptibility variants in five loci. Four loci were not evaluated, as they included only rare variants (MAF < 0.05).Conclusions: Ovarian cancer susceptibility variants identified in Caucasian women were not associated with breast cancer risk among 5,242 Chinese women.Impact: These findings suggest that breast and ovarian cancer may not share common susceptibility variants among Chinese women. Cancer Epidemiol Biomarkers Prev; 22(3); 467–9. ©2013 AACR.

PDF file - 99K, LocusZoom plots of the top two loci using stage 1 P values.

Large-scale genome-wide association studies (GWAS) have identified approximately 35 loci associated with epithelial ovarian cancer (EOC) risk. The majority of GWAS-identified disease susceptibility variants are located in noncoding regions, and causal genes underlying these associations remain largely unknown. Here, we performed a transcriptome-wide association study to search for novel genetic loci and plausible causal genes at known GWAS loci. We used RNA sequencing data (68 normal ovarian tissue samples from 68 individuals and 6,124 cross-tissue samples from 369 individuals) and high-density genotyping data from European descendants of the Genotype-Tissue Expression (GTEx V6) project to build ovarian and cross-tissue models of genetically regulated expression using elastic net methods. We evaluated 17,121 genes for their cis-predicted gene expression in relation to EOC risk using summary statistics data from GWAS of 97,898 women, including 29,396 EOC cases. With a Bonferroni-corrected significance level of P < 2.2 × 10−6, we identified 35 genes, including FZD4 at 11q14.2 (Z = 5.08, P = 3.83 × 10−7, the cross-tissue model; 1 Mb away from any GWAS-identified EOC risk variant), a potential novel locus for EOC risk. All other 34 significantly associated genes were located within 1 Mb of known GWAS-identified loci, including 23 genes at 6 loci not previously linked to EOC risk. Upon conditioning on nearby known EOC GWAS-identified variants, the associations for 31 genes disappeared and three genes remained (P < 1.47 × 10−3). These data identify one novel locus (FZD4) and 34 genes at 13 known EOC risk loci associated with EOC risk, providing new insights into EOC carcinogenesis.Significance: Transcriptomic analysis of a large cohort confirms earlier GWAS loci and reveals FZD4 as a novel locus associated with EOC risk. Cancer Res; 78(18); 5419–30. ©2018 AACR.

Supplementary Table 1 from Genetic Variation in VEGF Family Genes and Breast Cancer Risk: A Report from the Shanghai Breast Cancer Genetics Study

PDF file - 70K, Candidate inflammation genes selected for stage 1 study, Annotation of potentially functional SNPs in linkage disequilibrium (r2 > 0.2) with rs352038 (CXCL3) or rs3918249 (MMP9)

PDF file - 79K, Supplemental Table 1. Ovarian Cancer Susceptibility Variants and Breast Cancer Risk among Chinese Women

PDF file - 48K

Background: Experimental and epidemiologic evidence have suggested that chronic inflammation may play a critical role in endometrial carcinogenesis.Methods: To investigate this hypothesis, a two-stage study was carried out to evaluate single-nucleotide polymorphisms (SNP) in inflammatory pathway genes in association with endometrial cancer risk. In stage I, 64 candidate pathway genes were identified and 4,542 directly genotyped or imputed SNPs were analyzed among 832 endometrial cancer cases and 2,049 controls, using data from the Shanghai Endometrial Cancer Genetics Study. Linkage disequilibrium of stage I SNPs significantly associated with endometrial cancer (P < 0.05) indicated that the majority of associations could be linked to one of 24 distinct loci. One SNP from each of the 24 loci was then selected for follow-up genotyping. Of these, 21 SNPs were successfully designed and genotyped in stage II, which consisted of 10 additional studies including 6,604 endometrial cancer cases and 8,511 controls.Results: Five of the 21 SNPs had significant allelic odds ratios (ORs) and 95% confidence intervals (CI) as follows: FABP1, 0.92 (0.85–0.99); CXCL3, 1.16 (1.05–1.29); IL6, 1.08 (1.00–1.17); MSR1, 0.90 (0.82–0.98); and MMP9, 0.91 (0.87–0.97). Two of these polymorphisms were independently significant in the replication sample (rs352038 in CXCL3 and rs3918249 in MMP9). The association for the MMP9 polymorphism remained significant after Bonferroni correction and showed a significant association with endometrial cancer in both Asian- and European-ancestry samples.Conclusions: These findings lend support to the hypothesis that genetic polymorphisms in genes involved in the inflammatory pathway may contribute to genetic susceptibility to endometrial cancer.Impact statement: This study adds to the growing evidence that inflammation plays an important role in endometrial carcinogenesis. Cancer Epidemiol Biomarkers Prev; 22(2); 216–23. ©2012 AACR.

Background: In addition to mediating aspects of physiologic and pathologic angiogenesis, the VEGF family also contributes to carcinogenesis.Methods: We comprehensively characterized genetic variation across four VEGF family genes and evaluated associations with breast cancer risk with odds ratios (OR) and 95% CIs for participants of the two-stage case–control Shanghai Breast Cancer Genetics Study (SBCGS). Stage 1 evaluated 200 single nucleotide polymorphisms (SNP) across two VEGF ligands (VEGFA and VEGFC) and two VEGF receptors (FLT1/VEGFR1 and KDR/VEGFR2) among 2,079 cases and 2,148 controls. Five SNPs with promising associations were assessed in stage 2 among 4,419 cases and 1,851 controls.Results: Two SNPs were consistently associated with breast cancer risk across our two study stages and were significant in combined analyses. Compared with FLT1 rs9551471 major allele homozygotes (AA), reduced risks were associated with AG (OR = 0.92, 95% CI: 0.84–1.00) and GG (OR = 0.78, 95% CI: 0.64–0.95) genotypes (Ptrend = 0.005). Compared with VEGFA rs833070 major allele carriers (CC or CT), increased risk was associated with TT genotypes (OR = 1.26, 95% CI: 1.05–1.52, P = 0.016).Conclusion: Results from our study indicate that common genetic variation in VEGFA and FLT1 (VEGFR1) may contribute to breast cancer susceptibility.Impact: Our findings provide clues for future studies on VEGF family genes in relation to cancer susceptibility and survival. Cancer Epidemiol Biomarkers Prev; 20(1); 33–41; ©2011 AACR.

Background: The TGF-β signaling pathway plays a significant role in the carcinogenic process of breast cancer.Methods: We systematically evaluated associations of common variants in TGF-β signaling pathway genes with breast cancer risk using a multistage, case–control study among Asian women.Results: In the first stage, 341 single-nucleotide polymorphisms with minor allele frequencies ≥ 0.05 across 11 genes were evaluated among 2,926 cases and 2,380 controls recruited as a part of the Shanghai Breast Cancer Genetics Study (SBCGS). In the second stage, 20 SNPs with promising associations were evaluated among an additional 1,890 cases and 2,000 controls from the SBCGS. One variant, TGFBR2 rs1078985, had highly consistent and significant associations with breast cancer risk among participants in both study stages, as well as promising results from in silico analysis. Additional genotyping was carried out among 2,475 cases and 2,343 controls from the SBCGS, as well as among 5,077 cases and 5,384 controls from six studies in the Asian Breast Cancer Consortium (stage III). Pooled analysis of all data indicated that minor allele homozygotes (GG) of TGFBR2 rs1078985 had a 24% reduced risk of breast cancer compared with major allele carriers (AG or AA; OR, 0.76; 95% CI, 0.65–0.89; P = 8.42 × 10−4).Conclusion: These findings support a role for common genetic variation in TGF-β signaling pathway genes, specifically in TGFBR2, in breast cancer susceptibility.Impact: These findings may provide new insights into the etiology of breast cancer as well as future potential therapeutic targets. Cancer Epidemiol Biomarkers Prev; 21(7); 1176–84. ©2012 AACR.

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.

PURPOSE. To evaluate the association between obesity and the relative prevalence of tumor subtypes among Black women with breast cancer (BC). METHODS: We conducted a pooled case-only analysis of 1,793 Black women with invasive BC recruited through three existing studies in the southeastern US. Multivariable case-only polytomous logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between obesity, measured by pre-diagnostic body mass index (BMI), and human epidermal growth factor receptor 2+ (HER2+) and triple negative BC (TNBC) subtype relative to hormone receptor (HR)+/HER2− status (referent). RESULTS. Among 359 premenopausal women, 55.4% of cases were HR+/HER2−, 20.1% were HER2+, and 24.5% were TNBC; corresponding percentages among 1,434 postmenopausal women were 59.3%, 17.0%, and 23.6%. Approximately 50–60% of both pre- and postmenopausal women were obese (BMI>30 kg/m(2)), regardless of BC subtype. We did not observe a significant association between obesity and BC subtype. Among postmenopausal women, class I obesity (BMI 35+ kg/m(2)) was not associated with the development of HER2+ BC (OR 0.69; 95% CI 0.42–1.14) or TNBC (OR 0.93; 95% CI 0.60–1.45) relative to HR+/HER2− tumors. Corresponding estimates among premenopausal women were 1.03 (95% CI 0.43–2.48) and 1.13 (95% CI 0.48–2.64). CONCLUSION. In this large study of Black women with BC, there was no evidence of heterogeneity of BMI by BC subtype.

The ongoing coronavirus disease 2019 (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 the impact of the pandemic on cancer care, including the urgent need for rapid evidence generation and real-world study designs. SIGNIFICANCE: Patients with cancer have faced severe consequences at every stage of the cancer journey due to the COVID-19 pandemic. This comprehensive review offers a landscape analysis of the current state of the field regarding COVID-19 and cancer. We cover the immune response, risk factors for severe disease, and implications for vaccination in patients with cancer, as well as the impact of the COVID-19 pandemic on cancer care delivery. Overall, this review provides an in-depth summary of the key issues facing patients with cancer during this unprecedented health crisis.

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+ cytotoxic T lymphocyte 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 significance. 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.

ImportancePrior 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.ObjectiveTo 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 ParticipantsMulticenter 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.ExposuresPatients 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 MeasuresNonrelapse 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.ResultsOf 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 P 2, 5.9; P = .05). Conversely, NIH Skin Score collected at the same intervals lost significant prognostic information (likelihood ratio test χ2, 14.7; P Conclusions and RelevanceIn 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.

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.

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.

Funder: Funding details are provided in the Supplementary Material, 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 ancestry; 7,669 women of East Asian ancestry; 1,072 women of African ancestry, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestry. 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 ancestry; 1.14(95%CI:1.08���1.19,AUC:0.538) in women of East Asian ancestry; 1.38(95%CI:1.21-1.58,AUC:0.593) in women of African ancestry; hazard ratios of 1.37(95%CI:1.30���1.44,AUC:0.592) in BRCA1 pathogenic variant carriers and 1.51(95%CI:1.36-1.67,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.

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 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.

PURPOSE: Women with endometriosis have a 2 to 3-fold greater risk of endometrioid and clear cell ovarian cancer than other women, based on estimates from studies predominantly of White women. Fibroids have not been consistently associated with ovarian cancer risk but are the most common indication for hysterectomies in the U.S. Hysterectomy has been associated with lower ovarian cancer risk in subgroups of women including those with fibroids; thus fibroids may indirectly impact ovarian cancer risk. We evaluated the association of endometriosis and fibroids with ovarian cancer risk among Black and White women, taking into consideration the impact of hysterectomy. METHODS: We used data from six studies in the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium. Participants included 2,995 Black women and 5,281 White women. Logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between endometriosis and fibroids with ovarian cancer risk, overall, by race, and stratified by histotype. We also assessed effect modification by hysterectomy. RESULTS: Overall the prevalences of endometriosis and fibroids were 6.4% and 43.2% among Black women and 7.0% and 21.5% among White women, respectively. Endometriosis was associated with an increased risk of endometrioid and clear cell ovarian cancer in Black and White women. Among Black women the association was strongest for endometrioid tumors (OR=7.06; 95% CI=3.86-12.91) compared to White women (OR=2.17; 95% CI=1.36-3.45) with a significant difference by race (phetereogeneity=0.003). When stratified by hysterectomy the association between endometriosis and ovarian cancer risk in White women was stronger in those who did not report a hysterectomy. However, in Black women, the elevated risk of ovarian cancer among women with endometriosis was present among those with and without hysterectomy. Fibroids were associated with a slightly elevated risk of ovarian cancer in Black (OR=1.34; 95% CI=1.11-1.62) and White women (OR=1.22; 95% CI=1.05-1.41). For both groups, the association was present only in those who did not report a hysterectomy. Black women who had a history of fibroids and no hysterectomy had a 53% greater odds of ovarian cancer (95% CI=1.23-1.89) compared to those without fibroids, while there was no association with fibroids in the hysterectomy group (OR=0.92, 95% CI=0.62-1.36) (pinteraction=0.05). A similar pattern was observed among White women, but the interaction was not significant (pinteraction=0.21). CONCLUSION: Both Black and White women with endometriosis had a higher risk of ovarian cancer, and hysterectomy modified this association only among White women. Fibroids were associated with modestly increased risk of ovarian cancer among Black and White women, with hysterectomy modifying the risk in both groups. Further research is needed to understanding how racial differences in diagnoses of these conditions, and differential access to care and treatment options, impact or modify ovarian cancer risk. Citation Format: Holly Harris, Lauren Peres, Courtney Johnson, Kristin Guertin, Alicia Beeghly-Fadiel, Elisa Bandera, Traci Bethea, Charlotte Joslin, Anna Wu, Patricia Moorman, Heather Ochs-Balcom, Jessica Petrick, Veronica Setiawan, Lynn Rosenberg, Joellen Schildkraut, Evan Myers. Racial differences in the association of endometriosis and fibroids with risk of ovarian cancer [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr C105.

Background: Patients with sarcoma often require individualized treatment strategies and are likely to receive aggressive immunosuppressive therapies, which may place them at higher risk for severe COVID-19. We aimed to describe demographics, risk factors, and outcomes for patients with sarcoma and COVID-19. Methods: We performed a retrospective cohort study of patients with sarcoma and COVID-19 reported to the COVID-19 and Cancer Consortium (CCC19) registry (NCT04354701) from 17 March 2020 to 30 September 2021. Demographics, sarcoma histologic type, treatments, and COVID-19 outcomes were analyzed. Results: of 281 patients, 49% (n = 139) were hospitalized, 33% (n = 93) received supplemental oxygen, 11% (n = 31) were admitted to the ICU, and 6% (n = 16) received mechanical ventilation. A total of 23 (8%) died within 30 days of COVID-19 diagnosis and 44 (16%) died overall at the time of analysis. When evaluated by sarcoma subtype, patients with bone sarcoma and COVID-19 had a higher mortality rate than patients from a matched SEER cohort (13.5% vs 4.4%). Older age, poor performance status, recent systemic anti-cancer therapy, and lung metastases all contributed to higher COVID-19 severity. Conclusions: Patients with sarcoma have high rates of severe COVID-19 and those with bone sarcoma may have the greatest risk of death.

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.

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 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.

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