Catharina E. Jacobi

Clinical correlates of low-risk variants in FGFR2, TNRC9, MAP3K1, LSP1 and 8q24 in a Dutch cohort of incident breast cancer cases

IntroductionSeven SNPs in five genomic loci were recently found to confer a mildly increased risk of breast cancer.MethodsWe have investigated the correlations between disease characteristics and the patient genotypes of these SNPs in an unselected prospective cohort of 1,267 consecutive patients with primary breast cancer.ResultsHeterozygote carriers and minor allele homozygote carriers for SNP rs889312 in the MAP3K1 gene were less likely to be lymph node positive at breast cancer diagnosis (P = 0.044) relative to major allele homozygote carriers. Heterozygote carriers and minor allele homozygote carriers for SNP rs3803662 near the TNCR9 gene were more likely to be diagnosed before the age of 60 years (P = 0.025) relative to major allele homozygote carriers. We also noted a correlation between the number of minor alleles of rs2981582 in FGFR2 and the average number of first-degree and second-degree relatives with breast cancer and/or ovarian cancer (P = 0.05). All other disease characteristics, including tumour size and grade, and oestrogen or progesterone receptor status, were not significantly associated with any of these variants.ConclusionSome recently discovered genomic variants associated with a mildly increased risk of breast cancer are also associated with breast cancer characteristics or family history of breast cancer and ovarian cancer. These findings provide interesting new clues for further research on these low-risk susceptibility alleles.

Differences and similarities in breast cancer risk assessment models in clinical practice: which model to choose?

Abstract To show differences and similarities between risk estimation models for breast cancer in healthy women from BRCA1/2-negative or untested families. After a systematic literature search seven models were selected: Gail-2, Claus Model, Claus Tables, BOADICEA, Jonker Model, Claus-Extended Formula, and Tyrer–Cuzick. Life-time risks (LTRs) for developing breast cancer were estimated for two healthy counsellees, aged 40, with a variety in family histories and personal risk factors. Comparisons were made with guideline thresholds for individual screening. Without a clinically significant family history LTRs varied from 6.7% (Gail-2 Model) to 12.8% (Tyrer–Cuzick Model). Adding more information on personal risk factors increased the LTRs and yearly mammography will be advised in most situations. Older models (i.e. Gail-2 and Claus) are likely to underestimate the LTR for developing breast cancer as their baseline risk for women is too low. When models include personal risk factors, surveillance thresholds have to be reformulated. For current clinical practice, the Tyrer–Cuzick Model and the BOADICEA Model seem good choices.

Health care utilization among rheumatoid arthritis patients referred to a rheumatology center: unequal needs, unequal care?

OBJECTIVE To quantify the utilization of health care by rheumatoid arthritis (RA) patients and to estimate the contribution of patient characteristics to the explanation of the use of care, in order to evaluate whether those in need of care actually receive care. METHODS A questionnaire survey and a clinical examination were conducted among patients with RA referred to a rheumatology center. Health care utilization was assessed for medical care, allied health care, psychosocial care, and home care. The influence of sociodemographic variables and clinical and health characteristics on health care utilization was assessed by means of logistic regression. RESULTS Multivariate analyses showed that, for all types of services, disease-related factors explained most of the utilization. However, some sociodemographic variables (age, sex, and living situation) were also related to the utilization of care. CONCLUSION Most patients received the care they needed. However, for the elderly with RA, problems in access to allied health care and psychosocial care exist.

Prediction of BRCA1/2 mutation status in patients with ovarian cancer from a hospital-based cohort

Purpose: To describe patient, tumor, and family histories of cancer in a hospital-based cohort of patients with ovarian cancer and to identify the predictive value of these characteristics for (non)carrying a BRCA1 or BRCA2 mutation.Methods: Women diagnosed with invasive ovarian cancer between 1999 and 2003 in the west region of The Netherlands and unselected for age at diagnosis or cancer family history were included. Information was gathered on patient and tumor characteristics; p53; HER-2/neu, and KI-67 protein-expression; BRCA1/2 mutations; and family histories of cancer. Prediction tests were constructed using multivariate analyses.Results: Our study included 85 women (mean age at diagnosis, 57.6 years; standard deviation, 11.0 years). Six of these women had been previously or concurrently diagnosed with another tumor. Of the ovarian cancers, 41 (48.2%) were in an early stage (FIGO I or II). Five pathogenic mutations (6.1%) and six unclassified variants (7.3%) were identified in BRCA1/2; when the total sensitivity of the mutation scanning was taken into account, it was estimated to reflect seven pathogenic mutations (8.5%) and eight unclassified variants (9.8%). Sixty-nine women (81.2%) had at least one relative with cancer. A personal history of breast cancer and a family history of breast, ovarian, or uterine/endometrioid cancer were found to predict the presence of pathogenic mutations.Conclusion: As the combination of a personal history of breast cancer and a family history of breast, ovarian, or uterine/endometrioid cancer had good predictive value for the presence of a pathogenic BRCA1/2 mutation, the presented prediction test is a useful instrument to identify those women eligible for DNA testing.

A family history of breast cancer will not predict female early onset breast cancer in a population-based setting

BackgroundAn increased risk of breast cancer for relatives of breast cancer patients has been demonstrated in many studies, and having a relative diagnosed with breast cancer at an early age is an indication for breast cancer screening. This indication has been derived from estimates based on data from cancer-prone families or from BRCA1/2 mutation families, and might be biased because BRCA1/2 mutations explain only a small proportion of the familial clustering of breast cancer. The aim of the current study was to determine the predictive value of a family history of cancer with regard to early onset of female breast cancer in a population based setting.MethodsAn unselected sample of 1,987 women with and without breast cancer was studied with regard to the age of diagnosis of breast cancer.ResultsThe risk of early-onset breast cancer was increased when there were: (1) at least 2 cases of female breast cancer in first-degree relatives (yes/no; HR at age 30: 3.09; 95% CI: 128-7.44), (2) at least 2 cases of female breast cancer in first or second-degree relatives under the age of 50 (yes/no; HR at age 30: 3.36; 95% CI: 1.12–10.08), (3) at least 1 case of female breast cancer under the age of 40 in a first- or second-degree relative (yes/no; HR at age 30: 2.06; 95% CI: 0.83–5.12) and (4) any case of bilateral breast cancer (yes/no; HR at age 30: 3.47; 95%: 1.33–9.05). The positive predictive value of having 2 or more of these characteristics was 13% for breast cancer before the age of 70, 11% for breast cancer before the age of 50, and 1% for breast cancer before the age of 30.ConclusionApplying family history related criteria in an unselected population could result in the screening of many women who will not develop breast cancer at an early age.