Jessica Chubak

Association of CYP17, CYP19, CYP1B1 , and COMT Polymorphisms with Serum and Urinary Sex Hormone Concentrations in Postmenopausal Women

Women with high circulating estrogen concentrations have an increased risk of breast cancer; thus, it is important to understand factors, including genetic variability, that influence estrogen concentrations. Several genetic polymorphisms that may influence sex hormone concentrations have been identified, including CYP17 (5′-untranslated region T→C), CYP19 [intron 4 (TTTA)n = 7–13 and a 3-bp deletion (−3)], CYP1B1 (Val432Leu), and COMT (Val108/158Met). We examined associations between these polymorphisms and serum concentrations of estrogens, androgens, and sex hormone-binding globulin and urinary concentrations of 2- and 16α-hydroxyestrone in 171 postmenopausal women, using data from the prerandomization visit of an exercise clinical trial. Participants were sedentary, not taking hormone therapy, and had a body mass index >24.0. Compared with noncarriers, women carrying two CYP19 7r(−3) alleles had 26% lower estrone (P < 0.001), 19% lower estradiol (P = 0.01), 23% lower free estradiol (P = 0.01), and 22% higher sex hormone-binding globulin concentrations (P = 0.06). Compared with noncarriers, women carrying at least one CYP19 8r allele had 20% higher estrone (P = 0.003), 18% higher estradiol (P = 0.02), and 21% higher free estradiol concentrations (P = 0.01). Women with the COMT Met/Met genotype had 28% higher 2-hydroxyestrone (P = 0.08) and 31% higher 16α-hydroxyestrone concentrations (P = 0.02), compared with Val/Val women. Few associations were found for CYP17 and CYP1B1 or with serum androgen concentrations. This study provides further evidence that genetic variation may appreciably alter sex hormone concentrations in postmenopausal women not taking hormone therapy.

Screening Colonoscopy and Risk for Incident Late-Stage Colorectal Cancer Diagnosis in Average-Risk Adults: A Nested Case–Control Study

BACKGROUND The effectiveness of screening colonoscopy in average-risk adults is uncertain, particularly for right colon cancer. OBJECTIVE To examine the association between screening colonoscopy and risk for incident late-stage colorectal cancer (CRC). DESIGN Nested case-control study. SETTING Four U.S. health plans. PATIENTS 1039 average-risk adults enrolled for at least 5 years in one of the health plans. Case patients were aged 55 to 85 years on their diagnosis date (reference date) of stage IIB or higher (late-stage) CRC during 2006 to 2008. One or 2 control patients were selected for each case patient, matched on birth year, sex, health plan, and prior enrollment duration. MEASUREMENTS Receipt of CRC screening 3 months to 10 years before the reference date, ascertained through medical record audits. Case patients and control patients were compared on receipt of screening colonoscopy or sigmoidoscopy by using conditional logistic regression that accounted for health history, socioeconomic status, and other screening exposures. RESULTS In analyses restricted to 471 eligible case patients and their 509 matched control patients, 13 case patients (2.8%) and 46 control patients (9.0%) had undergone screening colonoscopy, which corresponded to an adjusted odds ratio (AOR) of 0.29 (95% CI, 0.15 to 0.58) for any late-stage CRC, 0.36 (CI, 0.16 to 0.80) for right colon cancer, and 0.26 (CI, 0.06 to 1.11; P = 0.069) for left colon/rectum cancer. Ninety-two case patients (19.5%) and 173 control patients (34.0%) had screening sigmoidoscopy, corresponding to an AOR of 0.50 (CI, 0.36 to 0.70) overall, 0.79 (CI, 0.51 to 1.23) for right colon late-stage cancer, and 0.26 (CI, 0.14 to 0.48) for left colon cancer. LIMITATION The small number of screening colonoscopies affected the precision of the estimates. CONCLUSION Screening with colonoscopy in average-risk persons was associated with reduced risk for diagnosis of incident late-stage CRC, including right-sided colon cancer. For sigmoidoscopy, this association was seen for left CRC, but the association for right colon late-stage cancer was not statistically significant.

Nurse Navigators in Early Cancer Care: A Randomized, Controlled Trial

PURPOSE To determine whether a nurse navigator intervention improves quality of life and patient experience with care for people recently given a diagnosis of breast, colorectal, or lung cancer. PATIENTS AND METHODS Adults with recently diagnosed primary breast, colorectal, or lung cancer (n = 251) received either enhanced usual care (n = 118) or nurse navigator support for 4 months (n = 133) in a two-group cluster randomized, controlled trial with primary care physicians as the units of randomization. Patient-reported measures included the Functional Assessment of Cancer Therapy-General (FACT-G) Quality of Life scale, three subscales of the Patient Assessment of Chronic Illness Care (PACIC), and selected subscales from a cancer adaptation of the Picker Institutes patient experience survey. Self-report measures were collected at baseline, 4 months, and 12 months. Automated administrative data were used to assess time to treatment and total health care costs. RESULTS There were no significant differences between groups in FACT-G scores. Nurse navigator patients reported significantly higher scores on the PACIC and reported significantly fewer problems with care, especially psychosocial care, care coordination, and information, as measured by the Picker instrument. Cumulative costs after diagnosis did not differ significantly between groups, but lung cancer costs were

Tradeoffs between accuracy measures for electronic health care data algorithms.

6,852 less among nurse navigator patients. CONCLUSION Compared with enhanced usual care, nurse navigator support for patients with cancer early in their course improves patient experience and reduces problems in care, but did not differentially affect quality of life.

Providing Care for Cancer Survivors in Integrated Health Care Delivery Systems: Practices, Challenges, and Research Opportunities

OBJECTIVE We review the uses of electronic health care data algorithms, measures of their accuracy, and reasons for prioritizing one measure of accuracy over another. STUDY DESIGN AND SETTING We use real studies to illustrate the variety of uses of automated health care data in epidemiologic and health services research. Hypothetical examples show the impact of different types of misclassification when algorithms are used to ascertain exposure and outcome. RESULTS High algorithm sensitivity is important for reducing the costs and burdens associated with the use of a more accurate measurement tool, for enhancing study inclusiveness, and for ascertaining common exposures. High specificity is important for classifying outcomes. High positive predictive value is important for identifying a cohort of persons with a condition of interest but that need not be representative of or include everyone with that condition. Finally, a high negative predictive value is important for reducing the likelihood that study subjects have an exclusionary condition. CONCLUSION Epidemiologists must often prioritize one measure of accuracy over another when generating an algorithm for use in their study. We recommend researchers publish all tested algorithms-including those without acceptable accuracy levels-to help future studies refine and apply algorithms that are well suited to their objectives.

Effect of Exercise on Serum Sex Hormones in Men: A 12-Month Randomized Clinical Trial

PURPOSE Optimal approaches to cancer survivorship care are needed. This study sought to identify practices, barriers, and research opportunities in meeting the care needs of cancer survivors in integrated health care delivery systems. METHODS This study was conducted at 10 sites within the Cancer Research Network, a National Cancer Institute-funded consortium of integrated health care delivery systems providing care for nearly 11 million enrollees. We identified 48 clinical leaders, administrators, and providers in oncology, primary care, nursing administration, and specialty care. Forty (83%) completed semi-structured, audio-recorded, transcribed telephone interviews, which we analyzed using an immersion-crystallization approach. RESULTS Respondents were aware of the needs of cancer survivors and the difficulties they face in transitioning from treatment to follow-up care. Respondents from all sites reported that oncology and primary care are jointly responsible for the care of cancer survivors, often through the use of electronic medical records. Many respondents were not familiar with standardized survivorship care plans. Only two sites had formal cancer survivorship programs in place, and two were developing such programs. Respondents at sites with and without programs acknowledged existing gaps in evidence on the effectiveness of formal survivorship care and expressed a desire for additional research. CONCLUSION Our exploratory study suggests an awareness of cancer survivorship care in integrated health care delivery systems, although approaches to providing such care vary across systems. These settings may offer a unique opportunity to develop, test, and implement innovative models of care, which can be systematically evaluated to inform and enhance cancer survivorship care in diverse health care settings.

Using Natural Language Processing to Improve Efficiency of Manual Chart Abstraction in Research: The Case of Breast Cancer Recurrence

PURPOSE The effect of exercise on androgens in middle-aged to older men is poorly understood, and it could have implications for several aspects of health. This analysis was conducted to examine the effects of long-term aerobic exercise on serum sex hormones in middle-aged to older men. METHODS One hundred two sedentary men, ages 40-75 yr, were randomly assigned to a 12-month exercise intervention or a control group (no change in activity). The combined facility- and home-based exercise program consisted of moderate/vigorous-intensity aerobic activity for 60 min.d(-1), 6 d.wk(-1). Serum concentrations of testosterone, free testosterone, dihydrotestosterone (DHT), 3alpha-androstanediol glucuronide (3alpha-Diol-G), estradiol, free estradiol, and sex hormone-binding globulin (SHBG) were measured at baseline, 3, and 12 months. RESULTS Exercisers trained a mean of 370 min.wk(-1) (102% of goal), with only two dropouts. Cardiopulmonary fitness (.VO(2max)) increased 10.8% in exercisers and decreased by 1.8% in controls (P < 0.001). DHT increased 14.5% in exercisers versus 1.7% in controls at 3 months (P = 0.04); at 12 months, it remained 8.6% above baseline in exercisers versus a 3.1% decrease in controls (P = 0.03). SHBG increased 14.3% in exercisers versus 5.7% in controls at 3 months (P = 0.04); at 12 months, it remained 8.9% above baseline in exercisers versus 4.0% in controls (P = 0.13). There were significant trends toward increasing DHT and SHBG, with greater increases in .VO(2max) at 3 and 12 months in exercisers. No statistically significant differences were observed for testosterone, free testosterone, 3alpha-Diol-G, estradiol, or free estradiol in exercisers versus controls. CONCLUSIONS A year-long, moderate-intensity aerobic exercise program increased DHT and SHBG, but it had no effect on other androgens in middle-aged to older men.

Associations between reproductive and menstrual factors and postmenopausal androgen concentrations.

The increasing availability of electronic health records (EHRs) creates opportunities for automated extraction of information from clinical text. We hypothesized that natural language processing (NLP) could substantially reduce the burden of manual abstraction in studies examining outcomes, like cancer recurrence, that are documented in unstructured clinical text, such as progress notes, radiology reports, and pathology reports. We developed an NLP-based system using open-source software to process electronic clinical notes from 1995 to 2012 for women with early-stage incident breast cancers to identify whether and when recurrences were diagnosed. We developed and evaluated the system using clinical notes from 1,472 patients receiving EHR-documented care in an integrated health care system in the Pacific Northwest. A separate study provided the patient-level reference standard for recurrence status and date. The NLP-based system correctly identified 92% of recurrences and estimated diagnosis dates within 30 days for 88% of these. Specificity was 96%. The NLP-based system overlooked 5 of 65 recurrences, 4 because electronic documents were unavailable. The NLP-based system identified 5 other recurrences incorrectly classified as nonrecurrent in the reference standard. If used in similar cohorts, NLP could reduce by 90% the number of EHR charts abstracted to identify confirmed breast cancer recurrence cases at a rate comparable to traditional abstraction.

Administrative Data Algorithms to Identify Second Breast Cancer Events Following Early-Stage Invasive Breast Cancer

BACKGROUND Reproductive and menstrual characteristics, as well as high circulating estrogen and androgen concentrations, are associated with the risk of breast and ovarian cancer in postmenopausal women. To explore possible etiological relationships between menstrual and reproductive characteristics and cancer risk, we examined associations between menstrual and reproductive factors and serum concentrations of total testosterone, free testosterone, androstenedione, dehydroepiandrosterone (DHEA), and dehydroepiandrosterone sulfate (DHEA-S). METHODS This study was conducted in 167 postmenopausal women, using data from the pre-randomization visit of an exercise clinical trial. Participants were sedentary, overweight/ obese, and not on hormone therapy. RESULTS DHEA-S concentrations were 42% higher, total testosterone concentrations were 35% lower, and free testosterone concentrations were 23% lower in women with both ovaries removed compared with those with both remaining (p = 0.01, p = 0.01, and p = 0.03, respectively). Women who had used herbal therapy in the past had, on average, 25% higher concentrations of total and free testosterone than women who had never used these herbal therapies (p = 0.03 and p = 0.004, respectively). No other significant associations were detected. CONCLUSIONS Overall, this study does not support the hypothesis that reproductive or menstrual factors, with the exception of oophorectomy status, are associated with postmenopausal androgen concentrations.

Cost of breast-related care in the year following false positive screening mammograms.

BACKGROUND Studies of breast cancer outcomes rely on the identification of second breast cancer events (recurrences and second breast primary tumors). Cancer registries often do not capture recurrences, and chart abstraction can be infeasible or expensive. An alternative is using administrative health-care data to identify second breast cancer events; however, these algorithms must be validated against a gold standard. METHODS We developed algorithms using data from 3152 women in an integrated health-care system who were diagnosed with stage I or II breast cancer in 1993-2006. Medical record review served as the gold standard for second breast cancer events. Administrative data used in algorithm development included procedures, diagnoses, prescription fills, and cancer registry records. We randomly divided the cohort into training and testing samples and used a classification and regression tree analysis to build algorithms for classifying women as having or not having a second breast cancer event. We created several algorithms for researchers to use based on the relative importance of sensitivity, specificity, and positive predictive value (PPV) in future studies. RESULTS The algorithm with high specificity and PPV had 89% sensitivity (95% confidence interval [CI] = 84% to 92%), 99% specificity (95% CI = 98% to 99%), and 90% PPV (95% CI = 86% to 94%); the high-sensitivity algorithm had 96% sensitivity (95% CI = 93% to 98%), 95% specificity (95% CI = 94% to 96%), and 74% PPV (95% CI = 68% to 78%). CONCLUSIONS Algorithms based on administrative data can identify second breast cancer events with high sensitivity, specificity, and PPV. The algorithms presented here promote efficient outcomes research, allowing researchers to prioritize sensitivity, specificity, or PPV in identifying second breast cancer events.