| Title |
Determinants of genetic counseling uptake and its impact on breast cancer outcome: a population-based study
|
|---|---|
| Published in |
Breast Cancer Research and Treatment, February 2014
|
| DOI | 10.1007/s10549-014-2864-3 |
| Pubmed ID | |
| Authors |
Aurélie Ayme, Valeria Viassolo, Elisabetta Rapiti, Gérald Fioretta, Hyma Schubert, Christine Bouchardy, Pierre O. Chappuis, Simone Benhamou |
| Abstract |
Genetic counseling and BRCA1/BRCA2 genes testing are routinely offered in a clinical setting. However, no data are available on the proportion of breast cancer patients with a positive family history undergoing genetic counseling. By linking databases of the Oncogenetics and Cancer Prevention Unit at the Geneva University Hospitals and the population-based Geneva Cancer Registry, we evaluated the uptake of genetic counseling among 1709 breast cancer patients with familial risk of breast cancer and the determinants of such a consultation process. We also studied the impact of genetic counseling on contralateral breast cancer occurrence and survival. Overall, 191 (11.2 %) breast cancer patients had genetic counseling; this proportion was 25.1 % within the high familial risk group. Recent period of diagnosis, early-onset breast cancer, female offspring, high familial risk, tumor size, and chemotherapy treatment were statistically significantly associated with genetic counseling uptake in multivariate analysis. More than 2 % of patients had developed contralateral metachronous breast cancer. An increased risk of contralateral breast cancer of borderline significance was found for patients who had genetic counseling versus those who had not (Cox model adjusted hazard ratio 2.2, 95 % confidence intervals 1.0-5.2, P = 0.063). Stratification by BRCA1/BRCA2 mutation status showed that the occurrence of contralateral breast cancer was 8-fold higher among mutation carriers compared with non-carriers. Age-adjusted overall survival and breast cancer-specific survival were not significantly different between patients who underwent genetic counseling and those who did not. In conclusion, we observed a significant increase in the use of genetic counseling over time and found that breast cancer patients with high familial risk had more often genetic counseling than those with moderate familial risk. A more thorough evaluation of sociodemographic and clinical predictors to attend the cancer genetic unit may help improving the use of genetic counseling services for at-risk individuals at a population level. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 21% |
| Researcher | 9 | 15% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 28% |
| Agricultural and Biological Sciences | 10 | 16% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Psychology | 4 | 7% |
| Social Sciences | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 16 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 February 2014.
All research outputs
#14,189,417
of 22,745,803 outputs
Outputs from Breast Cancer Research and Treatment
#3,078
of 4,651 outputs
Outputs of similar age
#175,715
of 313,178 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#33
of 51 outputs
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