Sheila A. Prindiville

The Prioritization of Cancer Antigens: A National Cancer Institute Pilot Project for the Acceleration of Translational Research

The purpose of the National Cancer Institute pilot project to prioritize cancer antigens was to develop a well-vetted, priority-ranked list of cancer vaccine target antigens based on predefined and preweighted objective criteria. An additional aim was for the National Cancer Institute to test a new approach for prioritizing translational research opportunities based on an analytic hierarchy process for dealing with complex decisions. Antigen prioritization involved developing a list of “ideal” cancer antigen criteria/characteristics, assigning relative weights to those criteria using pairwise comparisons, selecting 75 representative antigens for comparison and ranking, assembling information on the predefined criteria for the selected antigens, and ranking the antigens based on the predefined, preweighted criteria. Using the pairwise approach, the result of criteria weighting, in descending order, was as follows: (a) therapeutic function, (b) immunogenicity, (c) role of the antigen in oncogenicity, (d) specificity, (e) expression level and percent of antigen-positive cells, (f) stem cell expression, (g) number of patients with antigen-positive cancers, (h) number of antigenic epitopes, and (i) cellular location of antigen expression. None of the 75 antigens had all of the characteristics of the ideal cancer antigen. However, 46 were immunogenic in clinical trials and 20 of them had suggestive clinical efficacy in the “therapeutic function” category. These findings reflect the current status of the cancer vaccine field, highlight the possibility that additional organized efforts and funding would accelerate the development of therapeutically effective cancer vaccines, and accentuate the need for prioritization. (Clin Cancer Res 2009;15(17):5323–37)

The influence of a Gene expression profile on breast cancer decisions

The Oncotype Dx® Recurrence Score (RS), is often employed in patients with estrogen receptor‐positive, node negative (ER+LN−) breast cancer. We investigated the impact of the RS on actual chemotherapy administration and the effect of the assay on a panel of breast oncology experts.

Single-cell genetic analysis of ductal carcinoma in situ and invasive breast cancer reveals enormous tumor heterogeneity yet conserved genomic imbalances and gain of MYC during progression.

Ductal carcinoma in situ (DCIS) is a precursor lesion of invasive ductal carcinoma (IDC) of the breast. To understand the dynamics of genomic alterations in this progression, we used four multicolor fluorescence in situ hybridization probe panels consisting of the oncogenes COX2, MYC, HER2, CCND1, and ZNF217 and the tumor suppressor genes DBC2, CDH1, and TP53 to visualize copy number changes in 13 cases of synchronous DCIS and IDC based on single-cell analyses. The DCIS had a lower degree of chromosomal instability than the IDC. Despite enormous intercellular heterogeneity in DCIS and IDC, we observed signal patterns consistent with a nonrandom distribution of genomic imbalances. CDH1 was most commonly lost, and gain of MYC emerged during progression from DCIS to IDC. Four of 13 DCISs showed identical clonal imbalances in the IDCs. Six cases revealed a switch, and in four of those, the IDC had acquired a gain of MYC. In one case, the major clone in the IDC was one of several clones in the DCIS, and in another case, the major clone in the DCIS became one of the two major clones in the IDC. Despite considerable chromosomal instability, in most cases the evolution from DCIS to IDC is determined by recurrent patterns of genomic imbalances, consistent with a biological continuum.

Randomized Comparison of Group Versus Individual Genetic Education and Counseling for Familial Breast and/or Ovarian Cancer

PURPOSE An efficient approach to education and counseling before BRCA1 and BRCA2 mutation testing is necessary for effective utilization of testing in the community. Education and counseling, when delivered individually, are limited by a shortage of trained health care providers as well as by financial and time constraints. The purpose of this study was to determine whether pretest education and counseling for breast cancer genetics in a group setting is equivalent to that provided on an individual basis. PATIENTS AND METHODS One hundred forty-two patients at high risk for harboring a BRCA mutation were randomly assigned to group or individual education and counseling sessions. Group education was followed by brief individual counseling. Knowledge and Impact of Events Scales (IES) were administered at baseline and after education and counseling and at 1 week and 3, 6, and 12 months. Satisfaction with education and counseling was measured at completion of the session. Preferred method of education and counseling was solicited at 3 months. RESULTS There was no difference in knowledge or IES scores between groups. When stratified by genetic test results, knowledge scores showed no difference. Regardless of group, post-test IES scores in patients with positive results were higher than patients with negative or uninformative results but returned to baseline by 12 months. Participants were equally satisfied with either method they were assigned. Significantly more time was spent per patient in individual sessions (1.25 hours) than in group education (0.74 hours). CONCLUSION Our data suggest that group education and counseling may confer similar benefits compared with traditional individual sessions. Additional investigation of this approach in larger numbers of patients is warranted.

Effect of Raloxifene on Mammographic Density and Breast Magnetic Resonance Imaging in Premenopausal Women at Increased Risk for Breast Cancer

Background: Mammographic density is a risk factor for breast cancer. Mammographic density and breast magnetic resonance imaging (MRI) volume (MRIV) assess the amount of fibroglandular tissue in the breast. Mammographic density and MRIV can be modulated with hormonal interventions, suggesting that these imaging modalities may be useful as surrogate endpoint biomarkers for breast cancer chemoprevention trials. We evaluated the effect of raloxifene on mammographic density and MRIV in premenopausal women at increased risk for breast cancer. Methods: Mammograms and MRI were obtained at baseline and after 1 and 2 years of 60 mg raloxifene by mouth daily for 27 premenopausal women. Mammographic percent dense area was calculated using a semiquantitative thresholding technique. T1-weighted spoiled gradient-echo MRI with fat suppression was used to determine breast MRIV using a semiautomatic method. Mean change in mammographic density and median change in MRIV were assessed by the Wilcoxon signed-rank test. Results: No significant change in mammographic density was seen after treatment with raloxifene. Mean change after 1 year was 1% [95% confidence interval (95% CI), −3 to +5] and after 2 years was 1% (95% CI, −2 to +5). MRIV decreased on raloxifene. Median relative change in MRIV after 1 year was -17% (95% CI, -28 to -9; P = 0.0017) and after 2 years was -16% (95% CI, -31 to -4; P = 0.0004). Conclusions: In high-risk premenopausal women, mammographic density did not change on raloxifene, whereas MRIV significantly declined. Our findings suggest that MRIV is a promising surrogate biomarker in premenopausal women at increased risk for breast cancer and should be investigated further in breast cancer prevention trials. (Cancer Epidemiol Biomarkers Prev 2008;17(7):1696–701)

Randomized comparison of phone versus in-person BRCA1/2 predisposition genetic test result disclosure counseling

Purpose: This study evaluated whether phone results were equivalent to in-person result disclosure for individuals undergoing BRCA1/2 predisposition genetic testing.Methods: A total of 111 of 136 subjects undergoing education and counseling for BRCA1/2 predisposition genetic testing agreed to randomization to phone or in-person result disclosure. Content and format for both sessions were standardized. Data from the State-Trait Anxiety Inventory and the Psychological General Well-Being index were collected at baseline and then again at 1 week and 3 months after disclosure of test results. Baseline measures were administered after the following had occurred: counseling/education session had been conducted, informed consent had been obtained, and decision to be tested had been made. Satisfaction and cost assessments were administered after the result session. At 1 week, participants were asked their preferred method of result disclosure.Results: There were no differences in anxiety and general well-being measures between 50 phone and 52 in-person results disclosure. Both groups reported similar rates of satisfaction with services. Among those with a preference, 77% preferred the notification method assigned. There was a statistically significant preference for phone results among the 23% who did not prefer the method assigned. Greater costs were associated with in-person result disclosure.Conclusions: These data suggest that phone results are a reasonable alternative to traditional in-person BRCA1/2 genetic test disclosure without any negative psychologic outcomes or compromise in knowledge. However, further study is needed in a more clinically representative population to confirm these findings.

Classification and calculation of breast fibroglandular tissue volume on SPGR fat suppressed MRI

This paper presents an automatic method to classify and quantify breast fibroglandular tissues on T1 weighted spoiled gradient-echo (SPGR) fat suppressed MRI. The breast region is segmented from the image using mathematical morphology, region growing, and active contour models. The breast-air and breast-chest wall boundaries are located using smooth and continuous curves. Three tissue types are defined: fatty tissue, fibroglandular tissue, and skin. We then employ a fuzzy C-means (FCM) method for tissue classification. For each pixel inside the breast region, the normalized pixel intensity and normalized distance to the breast-air boundary are computed. These two values form a two-dimensional feature space. A fuzzy class is defined for each tissue type. The initial centroid for each class is obtained from training images. The pixel membership values indicate the possibility of a pixel belonging to a certain tissue class. Pixels with highest membership in the fibroglandular class are then classified as fibroglandular tissue. We have tested our method on 29 patients. We automatically segmented the breasts and computed the volume percentage of fibroglandular tissue for both left and right breasts. We then compared the calculated tissue classification with manually generated tissue classification by two experienced radiologists. The two results agreed on 94.95% of breast segmentation, and the average fibroglandular percentage difference is about 3%. This method is useful in research studies assessing breast cancer risk.

Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study

IntroductionMammographic density is similar among women at risk of either sporadic or BRCA1/2-related breast cancer. It has been suggested that digitized mammographic images contain computer-extractable information within the parenchymal pattern, which may contribute to distinguishing between BRCA1/2 mutation carriers and non-carriers.MethodsWe compared mammographic texture pattern features in digitized mammograms from women with deleterious BRCA1/2 mutations (n = 137) versus non-carriers (n = 100). Subjects were stratified into training (107 carriers, 70 non-carriers) and testing (30 carriers, 30 non-carriers) datasets. Masked to mutation status, texture features were extracted from a retro-areolar region-of-interest in each subject’s digitized mammogram. Stepwise linear regression analysis of the training dataset identified variables to be included in a radiographic texture analysis (RTA) classifier model aimed at distinguishing BRCA1/2 carriers from non-carriers. The selected features were combined using a Bayesian Artificial Neural Network (BANN) algorithm, which produced a probability score rating the likelihood of each subject’s belonging to the mutation-positive group. These probability scores were evaluated in the independent testing dataset to determine whether their distribution differed between BRCA1/2 mutation carriers and non-carriers. A receiver operating characteristic analysis was performed to estimate the model’s discriminatory capacity.ResultsIn the testing dataset, a one standard deviation (SD) increase in the probability score from the BANN-trained classifier was associated with a two-fold increase in the odds of predicting BRCA1/2 mutation status: unadjusted odds ratio (OR) = 2.00, 95% confidence interval (CI): 1.59, 2.51, P = 0.02; age-adjusted OR = 1.93, 95% CI: 1.53, 2.42, P = 0.03. Additional adjustment for percent mammographic density did little to change the OR. The area under the curve for the BANN-trained classifier to distinguish between BRCA1/2 mutation carriers and non-carriers was 0.68 for features alone and 0.72 for the features plus percent mammographic density.ConclusionsOur findings suggest that, unlike percent mammographic density, computer-extracted mammographic texture pattern features are associated with carrying BRCA1/2 mutations. Although still at an early stage, our novel RTA classifier has potential for improving mammographic image interpretation by permitting real-time risk stratification among women undergoing screening mammography.

Ductal Lavage in Women from BRCA1/2 Families: Is There a Future for Ductal Lavage in Women at Increased Genetic Risk of Breast Cancer?

Purpose: Ductal lavage has been used for risk stratification and biomarker development and to identify intermediate endpoints for risk-reducing intervention trials. Little is known about patient characteristics associated with obtaining nipple aspirate fluid (NAF) and adequate cell counts (≥10 cells) in ductal lavage specimens from BRCA mutation carriers. Methods: We evaluated patient characteristics associated with obtaining NAF and adequate cell counts in ductal lavage specimens from the largest cohort of women from BRCA families yet studied (BRCA1/2 = 146, mutation-negative = 23, untested = 2). Fishers exact test was used to evaluate categorical variables; Wilcoxon nonparametric test was used to evaluate continuous variables associated with NAF or ductal lavage cell count adequacy. Logistic regression was used to identify independent correlates of NAF and ductal lavage cell count adequacy. Results: From 171 women, 45 (26%) women had NAF and 70 (41%) women had ductal lavage samples with ≥10 cells. Postmenopausal women with intact ovaries compared with premenopausal women [odds ratio (OR), 4.8; P = 0.03] and women without a prior breast cancer history (OR, 5.2; P = 0.04) had an increased likelihood of yielding NAF. Having breast-fed (OR, 3.4; P = 0.001), the presence of NAF before ductal lavage (OR, 3.2; P = 0.003), and being premenopausal (OR, 3.0; P = 0.003) increased the likelihood of ductal lavage cell count adequacy. In known BRCA1/2 mutation carriers, only breast-feeding (OR, 2.5; P = 0.01) and the presence of NAF (OR, 3.0; P = 0.01) were independent correlates of ductal lavage cell count adequacy. Conclusions: Ductal lavage is unlikely to be useful in breast cancer screening among BRCA1/2 mutation carriers because the procedure fails to yield adequate specimens sufficient for reliable cytologic diagnosis or to support translational research activities. (Cancer Epidemiol Biomarkers Prev 2009;18(4):1243–51)

Evolution of the Colored Eco-Genetic Relationship Map (CEGRM) for Assessing Social Functioning in Women in Hereditary Breast-Ovarian (HBOC) Families

The CEGRM was initially conceived as a simple, concise, visual representation of the social interaction domains of information, tangible services and emotional exchanges (Kenen, R., & Peters, J. (2001). J Genet Counsel, 10, 289–309). A blend of the genetic pedigree, genogram, and ecomap, the CEGRM was developed to facilitate contemporary genetic counseling goals. An exploratory pilot study of 20 subjects showed that it was feasible, comfortable and efficiently accomplished, and that the process was useful both for assessment and as an intervention with study participants (Peters, J. A., Kenen, R., Giusti, R., Loud, J., Weissman, N., & Greene, M. H. (2004). Am J Med Genet Part A, 130A, 258–264). Subsequently, we have extended the CEGRM to 150 women from hereditary breast/ovarian cancer (HBOC) families; three different investigators have successfully administered this tool. The preliminary findings from the exploratory study were confirmed in the larger sample. Engaging in the interactive, insight-promoting CEGRM process provides a novel tool for assessing the social context of genetic testing, and helping high-risk women better understand and integrate genetic information into their personal and family identities, health beliefs, and decisions.