Impact of National Cancer Institute Comprehensive Cancer Centers on ovarian cancer treatment and survival

BACKGROUND

The regional impact of care at a National Cancer Institute Comprehensive Cancer Center (NCI-CCC) on adherence to National Comprehensive Cancer Network (NCCN) ovarian cancer treatment guidelines and survival is unclear.

STUDY DESIGN

We performed a retrospective population-based study of consecutive patients diagnosed with epithelial ovarian cancer between January 1, 1996 and December 31, 2006 in southern California. Patients were stratified according to care at an NCI-CCC (n = 5), non-NCI high-volume hospital (≥ 10 cases/year, HVH, n = 29), or low-volume hospital (<10 cases/year, LVH, n = 158). Multivariable logistic regression and Cox-proportional hazards models were used to examine the effect of NCI-CCC status on treatment guideline adherence and ovarian cancer-specific survival.

RESULTS

A total of 9,933 patients were identified (stage I, 22.8%; stage II, 7.9%; stage III, 45.1%; stage IV, 24.2%), and 8.1% of patients were treated at NCI-CCCs. Overall, 35.7% of patients received NCCN guideline adherent care, and NCI-CCC status (odds ratio [OR] 1.00) was an independent predictor of adherence to treatment guidelines compared with HVHs (OR 0.83, 95% CI 0.70 to 0.99) and LVHs (OR 0.56, 95% CI 0.47 to 0.67). The median ovarian cancer-specific survivals according to hospital type were: NCI-CCC 77.9 (95% CI 61.4 to 92.9) months, HVH 51.9 (95% CI 49.2 to 55.7) months, and LVH 43.4 (95% CI 39.9 to 47.2) months (p < 0.0001). National Cancer Institute Comprehensive Cancer Center status (hazard ratio [HR] 1.00) was a statistically significant and independent predictor of improved survival compared with HVH (HR 1.18, 95% CI 1.04 to 1.33) and LVH (HR 1.30, 95% CI 1.15 to 1.47).

CONCLUSIONS

National Cancer Institute Comprehensive Cancer Center status is an independent predictor of adherence to ovarian cancer treatment guidelines and improved ovarian cancer-specific survival. These data validate NCI-CCC status as a structural health care characteristic correlated with superior ovarian cancer quality measure performance. Increased access to NCI-CCCs through regional concentration of care may be a mechanism to improve clinical outcomes.

Prediction of breast cancer risk based on profiling with common genetic variants

BACKGROUND

Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking.

METHODS

We investigated the value of using 77 breast cancer-associated single nucleotide polymorphisms (SNPs) for risk stratification, in a study of 33 673 breast cancer cases and 33 381 control women of European origin. We tested all possible pair-wise multiplicative interactions and constructed a 77-SNP polygenic risk score (PRS) for breast cancer overall and by estrogen receptor (ER) status. Absolute risks of breast cancer by PRS were derived from relative risk estimates and UK incidence and mortality rates.

RESULTS

There was no strong evidence for departure from a multiplicative model for any SNP pair. Women in the highest 1% of the PRS had a three-fold increased risk of developing breast cancer compared with women in the middle quintile (odds ratio [OR] = 3.36, 95% confidence interval [CI] = 2.95 to 3.83). The ORs for ER-positive and ER-negative disease were 3.73 (95% CI = 3.24 to 4.30) and 2.80 (95% CI = 2.26 to 3.46), respectively. Lifetime risk of breast cancer for women in the lowest and highest quintiles of the PRS were 5.2% and 16.6% for a woman without family history, and 8.6% and 24.4% for a woman with a first-degree family history of breast cancer.

CONCLUSIONS

The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer. The observed level of risk discrimination could inform targeted screening and prevention strategies. Further discrimination may be achievable through combining the PRS with lifestyle/environmental factors, although these were not considered in this report.

Socioeconomic status as a predictor of adherence to treatment guidelines for early-stage ovarian cancer

OBJECTIVE

Investigate the impact of socioeconomic status and other demographic variables on adherence to the National Comprehensive Cancer Network ovarian cancer treatment guidelines among patients with stage I/II disease.

METHODS

Patients diagnosed with stage I/II epithelial ovarian cancer between 1/1/96-12/31/06 were identified from the California Cancer Registry. Univariate analysis and multivariate logistic regression models were used to evaluate differences in surgical procedures, chemotherapy regimens, and overall adherence to the NCCN guidelines according to increasing SES quintiles (SES-1 to SES-5).

RESULTS

A total of 5445 stage I and II patients were identified. The median age at diagnosis was 54.0years (range=18-99years); 72.5% of patients had stage I disease, while 27.5% had stage II disease. With a median follow-up time of 5years, the 5-year ovarian cancer-specific survival for all patients was 82.7% (SE=0.6%). Overall, 23.7% of patients received care that was adherent to the NCCN guidelines. Compared to patients in the highest SES quintile (SES-5), patients in the lowest SES quintile (SES-1) were significantly less likely to receive proper surgery (27.3% vs 47.9%, p<0.001) or chemotherapy (42.4% vs 53.6%, p<0.001). There were statistically significant trends between increasing SES and the likelihood of overall treatment plan adherence to the NCCN guidelines: SES-1=16.4%, SES-2=19.0%, SES-3=22.4%, SES-4=24.2% and SES-5=31.6% (p<0.001). Multivariate logistic regression analysis revealed that compared to SES-5, decreasing SES was independently predictive of a higher risk of non-standard overall care.

CONCLUSIONS

For patients with early-stage ovarian cancer, low SES is a significant and independent predictor of deviation from the NCCN guidelines for surgery, chemotherapy, and overall treatment.

Costs of treatment for elderly women with advanced ovarian cancer in a Medicare population

OBJECTIVE

To analyze the cost of treating women with advanced stage epithelial ovarian cancer (EOC) undergoing primary debulking surgery (PDS) or neo-adjuvant chemotherapy (NACT).

METHODS

The Surveillance, Epidemiology, and End Results (SEER) - Medicare database (1992 to 2009) was used to evaluate the 7-month cost of care following PDS and NACT for advanced EOC. Multivariate analyses were used to evaluate differences between women treated by PDS and NACT on cost and survival.

RESULTS

Of the 4506 women eligible for analysis, 82.4% underwent PDS and 17.6% received NACT. Eighty-five percent with stage IIIC and 78.5% with stage IV EOC underwent PDS (p<0.0001). No significant difference in the median cost of care between PDS and NACT existed in women with stage IIIC EOC ($59,801 vs. $59,905). There was a 12% increase in adjusted cost of care for stage IV patients ($63,131 vs. $55,302) who received PDS (p<0.0001). Increasing Charlson score was associated with an increase in 7-month cost of care in both stages. NACT was associated with a decreased 5-year overall survival in women with stage IIIC EOC (HR=1.27, 95% CI: 1.10-1.47) and stage IV EOC (HR=1.19, 95% CI: 1.03-1.37) compared to PDS.

CONCLUSION

NACT and PDS are comparable in cost for women with stage IIIC EOC, and PDS is minimally more expensive for women with stage IV EOC. PDS was associated with an increase 5-year overall survival. Future investigations should include cost-effectiveness analyses where additional measures such as quality adjusted life years and propensity scored survival are included.

Impact of race, socioeconomic status, and the health care system on the treatment of advanced-stage ovarian cancer in California

OBJECTIVE

We sought to investigate the impact of race, socioeconomic status (SES), and health care system characteristics on receipt of specific components of National Comprehensive Cancer Network guideline care for stage IIIC/IV ovarian cancer.

STUDY DESIGN

Patients diagnosed with stage IIIC/IV epithelial ovarian cancer between Jan. 1, 1996, through Dec. 31, 2006, were identified from the California Cancer Registry. Multivariate logistic regression analyses evaluated differences in surgery, chemotherapy, and treatment sequence according to race, increasing SES (SES-1 to SES-5), and provider annual case volume.

RESULTS

A total of 11,865 patients were identified. Median age at diagnosis was 65.0 years. The overall median cancer-specific survival was 28.2 months. African American race (odds ratio [OR], 2.04; 95% confidence interval [CI], 1.45-2.87) and care by a low-volume physician (OR, 19.72; 95% CI, 11.87-32.77) predicted an increased risk of not undergoing surgery. Patients with SES-1 (OR, 0.71; 95% CI, 0.60-0.85) and those treated at low-volume hospitals (OR, 0.88; 95% CI, 0.77-0.99) or by low-volume physicians (OR, 0.80; 95% CI, 0.70-0.92) were less likely to undergo debulking surgery. African American race (OR, 1.55; 95% CI, 1.24-1.93) and SES-1 (OR, 1.80; 95% CI, 1.35-2.39) were both significant predictors of not receiving chemotherapy. African American patients were also more likely than whites to receive no treatment (OR, 2.08; 95% CI, 1.45-2.99) or only chemotherapy (OR, 1.55; 95% CI, 1.10-2.18). Patients with low SES were more likely to receive no treatment (OR, 1.95; 95% CI, 1.44-2.64) or surgery without chemotherapy (OR, 1.67; 95% CI, 1.38-2.03).

CONCLUSION

Among patients with advanced-stage ovarian cancer, African American race, low SES, and treatment by low-volume providers are significant and independent predictors of receiving no surgery, no debulking surgery, no chemotherapy, and nonstandard treatment sequences.

Evaluating the ovarian cancer gonadotropin hypothesis: a candidate gene study

OBJECTIVE

Ovarian cancer is a hormone-related disease with a strong genetic basis. However, none of its high-penetrance susceptibility genes and GWAS-identified variants to date are known to be involved in hormonal pathways. Given the hypothesized etiologic role of gonadotropins, an assessment of how variability in genes involved in the gonadotropin signaling pathway impacts disease risk is warranted.

METHODS

Genetic data from 41 ovarian cancer study sites were pooled and unconditional logistic regression was used to evaluate whether any of the 2185 SNPs from 11 gonadotropin signaling pathway genes was associated with ovarian cancer risk. A burden test using the admixture likelihood (AML) method was also used to evaluate gene-level associations.

RESULTS

We did not find any genome-wide significant associations between individual SNPs and ovarian cancer risk. However, there was some suggestion of gene-level associations for four gonadotropin signaling pathway genes: INHBB (p=0.045, mucinous), LHCGR (p=0.046, high-grade serous), GNRH (p=0.041, high-grade serous), and FSHB (p=0.036, overall invasive). There was also suggestive evidence for INHA (p=0.060, overall invasive).

CONCLUSIONS

Ovarian cancer studies have limited sample numbers, thus fewer genome-wide susceptibility alleles, with only modest associations, have been identified relative to breast and prostate cancers. We have evaluated the majority of ovarian cancer studies with biological samples, to our knowledge, leaving no opportunity for replication. Using both our understanding of biology and powerful gene-level tests, we have identified four putative ovarian cancer loci near INHBB, LHCGR, GNRH, and FSHB that warrant a second look if larger sample sizes and denser genotype chips become available.

The association between circulating total folate and folate vitamers with overall survival after postmenopausal breast cancer diagnosis

We studied the relationship between plasma total folate and folate vitamer concentrations [5-methyltetrahydrofolic acid, pteroylglutamic acid (folic acid) and tetrahydrofolic acid] with overall survival after breast cancer diagnosis. A secondary aim was to assess the relationship between folic acid supplement use with circulating total folate and folate vitamer concentrations. Participants were postmenopausal women diagnosed with breast cancer (n = 498) with an average follow-up of 6.7 yr. Plasma total folate and folate vitamers were measured by isotope-dilution LC-MS/MS in samples collected at or postdiagnosis. Cox proportional multivariate hazards models (controlled for stage, age at diagnosis, body mass index, parity, hormone replacement therapy use, treatment, alcohol use, folic acid use, and energy intake), were used to assess overall survival after breast cancer diagnosis. We found that the relative risk of dying for women with plasma total folate concentrations in the highest quartile was 59% lower (hazard ratio: 0.41, 95% confidence interval: 0.19-0.90) compared with the lowest quartile. Data on supplement use showed that women taking folic acid supplements had significantly higher circulating total folate and folate vitamer concentrations (P < 0.0001), suggesting that increased folate consumption through diet and/or supplementation may improve prognosis after breast cancer diagnosis.

Identification of six new susceptibility loci for invasive epithelial ovarian cancer

Genome-wide association studies (GWAS) have identified 12 epithelial ovarian cancer (EOC) susceptibility alleles. The pattern of association at these loci is consistent in BRCA1 and BRCA2 mutation carriers who are at high risk of EOC. After imputation to 1000 Genomes Project data, we assessed associations of 11 million genetic variants with EOC risk from 15,437 cases unselected for family history and 30,845 controls and from 15,252 BRCA1 mutation carriers and 8,211 BRCA2 mutation carriers (3,096 with ovarian cancer), and we combined the results in a meta-analysis. This new study design yielded increased statistical power, leading to the discovery of six new EOC susceptibility loci. Variants at 1p36 (nearest gene, WNT4), 4q26 (SYNPO2), 9q34.2 (ABO) and 17q11.2 (ATAD5) were associated with EOC risk, and at 1p34.3 (RSPO1) and 6p22.1 (GPX6) variants were specifically associated with the serous EOC subtype, all with P < 5 × 10(-8). Incorporating these variants into risk assessment tools will improve clinical risk predictions for BRCA1 and BRCA2 mutation carriers.

Human Nail Clippings as a Source of DNA for Genetic Studies

Blood samples have traditionally been used as the main source of DNA for genetic analysis. However, this source can be difficult in terms of collection, transportation, and long-term storage. In this study, we investigated whether human nail clippings could be used as a source of DNA for SNP genotyping, null-allele detection, and whole-genome amplification. From extracted nail DNA, we achieved amplicons up to a length of ~400 bp and >96% concordance for SNP genotyping and 100% concordance for null-allele detection compared to DNA derived from matched blood samples. For whole-genome amplification, OmniPlex performed better than Multiple Displacement Amplification with a success rate of 89.3% and 76.8% for SNP genotyping and null-allele detection, respectively. Concordance was ~98% for both methods. When combined with OmniPlex whole-genome amplification, human nail clippings could potentially be used as an alternative to whole blood as a less invasive and more convenient source of DNA for genotyping studies.

Refined histopathological predictors of BRCA1 and BRCA2 mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia

INTRODUCTION

The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling.

METHODS

Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the likelihood of mutation status by histopathological markers were derived using a Mantel-Haenszel approach.

RESULTS

ER-positive phenotype negatively predicted BRCA1 mutation status, irrespective of grade (LRs from 0.08 to 0.90). ER-negative grade 3 histopathology was more predictive of positive BRCA1 mutation status in women 50 years or older (LR = 4.13 (3.70 to 4.62)) versus younger than 50 years (LR = 3.16 (2.96 to 3.37)). For BRCA2, ER-positive grade 3 phenotype modestly predicted positive mutation status irrespective of age (LR = 1.7-fold), whereas ER-negative grade 3 features modestly predicted positive mutation status at 50 years or older (LR = 1.54 (1.27 to 1.88)). Triple-negative tumor status was highly predictive of BRCA1 mutation status for women younger than 50 years (LR = 3.73 (3.43 to 4.05)) and 50 years or older (LR = 4.41 (3.86 to 5.04)), and modestly predictive of positive BRCA2 mutation status in women 50 years or older (LR = 1.79 (1.42 to 2.24)).

CONCLUSIONS

These results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2 variant classification and inform patient mutation testing and clinical management.

Genetic variation in mitotic regulatory pathway genes is associated with breast tumor grade

Mitotic index is an important component of histologic grade and has an etiologic role in breast tumorigenesis. Several small candidate gene studies have reported associations between variation in mitotic genes and breast cancer risk. We measured associations between 2156 single nucleotide polymorphisms (SNPs) from 194 mitotic genes and breast cancer risk, overall and by histologic grade, in the Breast Cancer Association Consortium (BCAC) iCOGS study (n = 39 067 cases; n = 42 106 controls). SNPs in TACC2 [rs17550038: odds ratio (OR) = 1.24, 95% confidence interval (CI) 1.16-1.33, P = 4.2 × 10(-10)) and EIF3H (rs799890: OR = 1.07, 95% CI 1.04-1.11, P = 8.7 × 10(-6)) were significantly associated with risk of low-grade breast cancer. The TACC2 signal was retained (rs17550038: OR = 1.15, 95% CI 1.07-1.23, P = 7.9 × 10(-5)) after adjustment for breast cancer risk SNPs in the nearby FGFR2 gene, suggesting that TACC2 is a novel, independent genome-wide significant genetic risk locus for low-grade breast cancer. While no SNPs were individually associated with high-grade disease, a pathway-level gene set analysis showed that variation across the 194 mitotic genes was associated with high-grade breast cancer risk (P = 2.1 × 10(-3)). These observations will provide insight into the contribution of mitotic defects to histological grade and the etiology of breast cancer.

Evaluation of 30-day hospital readmission after surgery for advanced-stage ovarian cancer in a medicare population

PURPOSE

To analyze rate, risk factors, and costs associated with 30-day readmission after ovarian cancer surgery.

PATIENTS AND METHODS

The SEER-Medicare linked database (1992 to 2010) was used to evaluate readmission rates within 30 days of index surgery in patients with stage IIIC/IV ovarian, primary peritoneal, or fallopian tube cancer. Multivariable logistic regression was used to identify factors associated with readmission.

RESULTS

Of 5,152 eligible patients, 1,003 (19.5%) were readmitted within 30 days of discharge. Mean patient age was 75 years. Diagnoses associated with readmission included infection (34.7%), dehydration (34.3%), ileus/obstruction (26.2%), metabolic/electrolyte derangements (23.1%), and anemia (12.3%). In multivariable analysis, year of discharge was significantly associated with 30-day readmission (1996 to 2000: odds ratio [OR], 1.32; 95% CI, 1.01 to 1.71; 2001 to 2005: OR, 1.58; 95% CI, 1.24 to 2.0; 2006 to 2010: OR, 1.73; 95% CI, 1.35 to 2.21; referent years 1992 to 1995), as were length of index hospital stay more than 8 days (OR, 1.39; 95% CI, 1.18 to 1.64) and discharge to a skilled nursing facility (OR, 1.3; 95% CI, 1.04 to 1.63). Patients readmitted within 30 days had a significantly greater 1-year mortality rate compared with patients not readmitted (41.1% v 25.1%, respectively; P < .001). The median cost of readmission hospital stay was $9,220 in year 2010 dollars, with a total cost of $9.3 million over the study period.

CONCLUSION

Early readmission after surgery for ovarian cancer is common. There is a significant association between 30-day readmission and 1-year mortality. These findings may catalyze development of targeted interventions to decrease early readmission, improve patient outcomes, and control health care costs.

Evaluation and selection of indicators for land degradation and desertification monitoring: types of degradation, causes, and implications for management

Indicator-based approaches are often used to monitor land degradation and desertification from the global to the very local scale. However, there is still little agreement on which indicators may best reflect both status and trends of these phenomena. In this study, various processes of land degradation and desertification have been analyzed in 17 study sites around the world using a wide set of biophysical and socioeconomic indicators. The database described earlier in this issue by Kosmas and others (Environ Manage, 2013) for defining desertification risk was further analyzed to define the most important indicators related to the following degradation processes: water erosion in various land uses, tillage erosion, soil salinization, water stress, forest fires, and overgrazing. A correlation analysis was applied to the selected indicators in order to identify the most important variables contributing to each land degradation process. The analysis indicates that the most important indicators are: (i) rain seasonality affecting water erosion, water stress, and forest fires, (ii) slope gradient affecting water erosion, tillage erosion and water stress, and (iii) water scarcity soil salinization, water stress, and forest fires. Implementation of existing regulations or policies concerned with resources development and environmental sustainability was identified as the most important indicator of land protection.

Evaluation and selection of indicators for land degradation and desertification monitoring: methodological approach

An approach to derive relationships for defining land degradation and desertification risk and developing appropriate tools for assessing the effectiveness of the various land management practices using indicators is presented in the present paper. In order to investigate which indicators are most effective in assessing the level of desertification risk, a total of 70 candidate indicators was selected providing information for the biophysical environment, socio-economic conditions, and land management characteristics. The indicators were defined in 1,672 field sites located in 17 study areas in the Mediterranean region, Eastern Europe, Latin America, Africa, and Asia. Based on an existing geo-referenced database, classes were designated for each indicator and a sensitivity score to desertification was assigned to each class based on existing research. The obtained data were analyzed for the various processes of land degradation at farm level. The derived methodology was assessed using independent indicators, such as the measured soil erosion rate, and the organic matter content of the soil. Based on regression analyses, the collected indicator set can be reduced to a number of effective indicators ranging from 8 to 17 in the various processes of land degradation. Among the most important indicators identified as affecting land degradation and desertification risk were rain seasonality, slope gradient, plant cover, rate of land abandonment, land-use intensity, and the level of policy implementation.

Consortium analysis of gene and gene-folate interactions in purine and pyrimidine metabolism pathways with ovarian carcinoma risk

SCOPE

We reevaluated previously reported associations between variants in pathways of one-carbon (1-C) (folate) transfer genes and ovarian carcinoma (OC) risk, and in related pathways of purine and pyrimidine metabolism, and assessed interactions with folate intake.

METHODS AND RESULTS

Odds ratios (OR) for 446 genetic variants were estimated among 13,410 OC cases and 22,635 controls, and among 2281 cases and 3444 controls with folate information. Following multiple testing correction, the most significant main effect associations were for dihydropyrimidine dehydrogenase (DPYD) variants rs11587873 (OR = 0.92; p = 6 × 10⁻⁵) and rs828054 (OR = 1.06; p = 1 × 10⁻⁴). Thirteen variants in the pyrimidine metabolism genes, DPYD, DPYS, PPAT, and TYMS, also interacted significantly with folate in a multivariant analysis (corrected p = 9.9 × 10⁻⁶) but collectively explained only 0.2% of OC risk. Although no other associations were significant after multiple testing correction, variants in SHMT1 in 1-C transfer, previously reported with OC, suggested lower risk at higher folate (p(interaction) = 0.03-0.006).

CONCLUSION

Variation in pyrimidine metabolism genes, particularly DPYD, which was previously reported to be associated with OC, may influence risk; however, stratification by folate intake is unlikely to modify disease risk appreciably in these women. SHMT1 SNP-by-folate interactions are plausible but require further validation. Polymorphisms in selected genes in purine metabolism were not associated with OC.

Abstract 3243: A pilot study comparing breast cancer risk scores using models with and without breast density among women of different race/ethnicities undergoing breast screening in the University of California, Irvine Athena Breast Health Network cohort

The USPSTF recommends that women who are at increased risk for breast cancer and at low risk for adverse medication effects should be offered risk-reducing medications, such as tamoxifen or raloxifene, by their clinicians. The NCCN also recommends risk counseling for women with a 5-year risk of ≥1.7% as calculated by the NCI-developed Breast Cancer Risk Assessment Tool (BCRAT, based on the Gail model) or other risk model. The integration of risk assessment into clinical breast screening holds promise in reducing breast cancer risk for many women; however, the criteria that contribute to elevated risk status are different according to different risk models. The University of California, Irvine (UCI) Athena Breast Health Network has integrated a computerized risk assessment largely based on the BCRAT into the screening mammography process at UCI mammography centers. Women identified to be at elevated risk are provided with personalized risk counseling by a Breast Health Specialist. In recent years, breast density has been increasingly recognized as a risk factor for breast cancer; however, it is not part of the BCRAT. In this pilot analysis, we sought to determine if incorporating breast density into the risk assessment program would affect the % of women in our cohort who have a 5-year risk of ≥1.7%. We hypothesized that an increased % of Asian women would reach this threshold since breast density is known to be higher in Asians. We used the BCSC model, which includes density as a variable, to calculate risk scores for a subset of our screening population (n=309), age-matched for three race/ethnic groups, and compared them to their scores according to the BCRAT. Our results showed that while Asians did exhibit significantly higher breast density (30.3% had BIRADS breast density classification 4, extremely dense) than White and Hispanic women (8.7% and 5.6%, respectively), their BCRAT and BCSC scores were significantly lower than in White women but higher than in Hispanic women, with 14.1% of Asians having a BCSC score ≥1.7% compared to 43.7% of Whites and 10.3% in Hispanics, and 17.2% of Asians having a BCRAT score of ≥1.7% compared to 34.0% of Whites and 6.5% of Hispanics. Interestingly, when differences were explored between BCRAT and BCSC scores within the same sub-group of women, the scores were not statistically different among White or Hispanic women but were approaching statistical significance in Asian women. Contrary to our hypothesis, in Asian women, BCSC-calculated risk was actually lower than according to the BCRAT. These findings suggest that, despite higher breast density, Asian women still exhibit lower breast cancer risk scores than White women; thus, a smaller proportion of Asian women in our cohort will be recommended for high risk counseling and chemoprevention.

Citation Format: Hannah Lui Park, Stephanie M. Tran, Jennifer Lee, Deborah Goodman, Argyrios Ziogas, Richard Kelly, Kathryn M. Larsen, Andrea Alvarez, Chris Tannous, Julie Strope, Wendy Lynch, Hoda Anton-Culver. A pilot study comparing breast cancer risk scores using models with and without breast density among women of different race/ethnicities undergoing breast screening in the University of California, Irvine Athena Breast Health Network cohort. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3243. doi:10.1158/1538-7445.AM2014-3243

Abstract LB-294: Growth factor genes, interaction with hormone therapy use and breast cancer risk in the California Teachers Study

Background: Growth factor and angiogenesis pathway genes are important candidate genes in breast carcinogenesis. Breast cell proliferation is modified by exogenous hormone therapy (HT) use, particularly estrogen plus progestin therapy (EPT). Estrogen-dependent cell proliferation requires activation of growth factor pathways, such as IGF-1, and potential interactions between a few FGFR2 single nucleotide polymorphisms (SNPs) and EPT have been reported. Further, angiogenesis genes such as VEGF and EGR3 were shown to be induced by steroid hormones. Therefore, we investigated SNPs in growth factor and angiogenesis genes and their interaction with HT in relation to breast cancer risk.

Methods: We analyzed data from a breast cancer case-control study nested within the California Teachers Study. We genotyped 202 tagging SNPs in 12 growth factor and angiogenesis genes in 2746 non-Hispanic white women: 1351 cases and 1395 controls. We used conditional logistic regression models to estimate odds ratios (ORs) per minor allele and 95% confidence intervals (CI), and we repeated the analyses separately by HT use at cohort enrollment. P values were corrected for multiple testing using the Bonferroni method (Padj).

Results: The most significant associations were observed for rs6899540 in VEGFA and 3 other VEGFA SNPs that are not in linkage disequilibrium with rs6899540. After Bonferroni correction within this gene, only rs6899540, located 4kb distal of the 3’end of the gene, remained statistically significant: OR per C allele=1.27 (95% CI=1.10-1.47), P=0.001, Padj=0.020. Additional SNPs nominally associated with breast cancer risk included rs2072454 in EGFR, rs4970503 in RPS6KA1, and rs9580185 in FGF9. Analyses among postmenopausal EPT users identified nominal associations with 5 VEGFR3 SNPs including rs6889643 and rs2290983 (ORs per risk allele ranging from 1.28 to 1.46; P-values range 0.008-0.015). Although none of these associations were statistically significant after Bonferroni correction, P values for interaction with EPT use (vs. never-HT use) were 0.03 for both rs6889643 and rs2290983. Among ET users, rs308441 in FGF2 was significantly associated with breast cancer risk (OR=1.69, Padj=0.019).

Conclusions: Our results suggest that SNPs in growth factor and VEGF pathways may be associated with breast cancer risk, and these associations may be modified by ET or EPT use. Of particular interest are potential gene-HT interactions for SNPs in VEGFA, a key player in angiogenesis, and FGF2, a gene involved in VEGF signaling. Our results provide a strong rationale for further exploring these pathways and potential gene-environment interactions in pooled analyses.

Citation Format: Eunjung Lee, Fredrick Schumacher, Susan L. Neuhausen, Hoda Anton Culver, Argyrios Ziogas, David Van Den Berg, Leslie Bernstein, Giske Ursin. Growth factor genes, interaction with hormone therapy use and breast cancer risk in the California Teachers Study. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr LB-294. doi:10.1158/1538-7445.AM2014-LB-294

Spatial analysis of adherence to treatment guidelines for advanced-stage ovarian cancer and the impact of race and socioeconomic status

OBJECTIVE

To determine the impact of geographic location on advanced-stage ovarian cancer care adherence to the National Comprehensive Cancer Network (NCCN) guidelines in relation to race and socioeconomic status (SES).

METHODS

Patients diagnosed with stage IIIC/IV epithelial ovarian cancer (1/1/96-12/31/06) were identified from the California Cancer Registry. Generalized additive models were created to assess the effect of spatial distributions of geographic location, proximity to a high-volume hospital (≥20 cases/year), distance traveled to receive care, race, and SES on adherence to NCCN guidelines, with simultaneous smoothing of geographic location and adjustment for confounding variables. Disparities in geographic predictors of treatment adherence were analyzed with the x(2) test for equality of proportions.

RESULTS

Of the 11,770 patients identified, 45.4% were treated according to NCCN guidelines. Black race (OR=1.49, 95%CI=1.21-1.83), low-SES (OR=1.46, 95%CI=1.24-1.72), and geographic location ≥80 km/50 mi from a high-volume hospital (OR=1.88, 95%CI=1.61-2.19) were independently associated with an increased risk of non-adherent care, while high-volume hospital treatment (OR=0.59, 95%CI=0.53-0.66) and travel distance to receive care ≥32 km/20 mi (OR=0.80, 95%CI=0.69-0.92) were independently protective. SES was inversely associated with location ≥80 km/50 mi from a high-volume hospital, ranging from 6.3% (high-SES) to 33.0% (low-SES) (p<0.0001). White patients were significantly more likely to travel ≥32 km/20 mi to receive care (21.8%) compared to Blacks (14.4%), Hispanics (15.9%), and Asian/Pacific Islanders (15.5%) (p<0.0001).

CONCLUSION

Geographic proximity to a high-volume hospital and travel distance to receive treatment are independently associated with NCCN guideline adherent care for advanced-stage ovarian cancer. Geographic barriers to standard ovarian cancer treatment disproportionately affect racial minorities and women of low-SES.

Variation in NF-κB signaling pathways and survival in invasive epithelial ovarian cancer

Survival in epithelial ovarian cancer (EOC) is influenced by the host immune response, yet the key genetic determinants of inflammation and immunity that affect prognosis are not known. The nuclear factor-κB (NF-κB) transcription factor family plays an important role in many immune and inflammatory responses, including the response to cancer. We studied common inherited variation in 210 genes in the NF-κB family in 10,084 patients with invasive EOC (5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous) from the Ovarian Cancer Association Consortium. Associations between genotype and overall survival were assessed using Cox regression for all patients and by major histology, adjusting for known prognostic factors and correcting for multiple testing (threshold for statistical significance, P < 2.5 × 10(-5)). Results were statistically significant when assessed for patients of a single histology. Key associations were with caspase recruitment domain family, member 11 (CARD11) rs41324349 in patients with mucinous EOC [HR, 1.82; 95% confidence interval (CI), 1.41-2.35; P = 4.13 × 10(-6)] and tumor necrosis factor receptor superfamily, member 13B (TNFRSF13B) rs7501462 in patients with endometrioid EOC (HR, 0.68; 95% CI, 0.56-0.82; P = 2.33 × 10(-5)). Other associations of note included TNF receptor-associated factor 2 (TRAF2) rs17250239 in patients with high-grade serous EOC (HR, 0.84; 95% CI, 0.77-0.92; P = 6.49 × 10(-5)) and phospholipase C, gamma 1 (PLCG1) rs11696662 in patients with clear cell EOC (HR, 0.43; 95% CI, 0.26-0.73; P = 4.56 × 10(-4)). These associations highlight the potential importance of genes associated with host inflammation and immunity in modulating clinical outcomes in distinct EOC histologies.