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  • American Association for Cancer Research (AACR)  (2)
  • Espinoza, David  (2)
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  • American Association for Cancer Research (AACR)  (2)
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  • 1
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2017
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 26, No. 5_Supplement ( 2017-05-01), p. B15-B15
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 26, No. 5_Supplement ( 2017-05-01), p. B15-B15
    Abstract: Background: It is anticipated that cancer risk prediction tools, including those with genomic risk information, will increasingly be used to communicate personalised cancer risk to the public. Receiving information on personal genomic risk of cancer might encourage conversations about cancer prevention and early detection with family, friends and health professionals, but few studies have examined this. Aims: To explore participant communication about personal genomic risk of melanoma to family, friends and health professionals, using a mixed-methods approach, and to examine results according to participants' genomic risk category (low, average, high). Methods: We conducted a study examining the impact of giving information on personalised genomic risk of melanoma to the public. Participants (n=101) received a personalised booklet presenting their melanoma genomic risk based on variants in 21 genes, together with telephone-based genetic counselling and generic educational materials. They completed a questionnaire 3-months after receiving their personal genomic risk of melanoma. To further contextualise these data, we conducted semi-structured qualitative interviews with 30 participants. Results: Participants' communication with health professionals according to melanoma genomic risk category was 41% for high-risk, 16% for average-risk and 13% for low-risk (P=0.02). Communication with family was 83% for high-risk, 65% for average-risk, 79% for low-risk participants (P=0.19); and communication with friends was 55% for high-risk, 43% for average-risk, 54% for low-risk participants (P=0.49). Preliminary thematic analysis found that preventive behaviours and early detection were raised by participants in discussions with family and doctors. Reasons for not communicating genomic risk included: concern about causing worry and not feeling a need to share the information. Conclusions: Genomic risk information prompted conversations about melanoma risk and prevention, most frequently with family. When stratified by genomic risk, comparable numbers of participants discussed their genomic risk with family and friends, but communication with health professionals was more frequent among participants in a high-risk category. Citation Format: Anne E. Cust, Amelia K. Smit, David Espinoza, Keogh Louise, Phyllis N. Butow, Kate Dunlop, Judy Kirk, Ainsley J. Newson. Communicating information about personalised genomic risk of melanoma to family, friends, and health professionals. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr B15.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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  • 2
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 26, No. 2 ( 2017-02-01), p. 212-221
    Abstract: Background: Communication of personalized melanoma genomic risk information may improve melanoma prevention behaviors. Methods: We evaluated the feasibility and acceptability of communicating personalized genomic risk of melanoma to the public and its preliminary impact on behaviors and psychosocial outcomes. One hundred eighteen people aged 22 to 69 years provided a saliva sample and were randomized to the control (nonpersonalized educational materials) or intervention (personalized booklet presenting melanoma genomic risk as absolute and relative risks and a risk category based on variants in 21 genes, telephone-based genetic counseling, and nonpersonalized educational materials). Intention-to-treat analyses overall and by-risk category were conducted using ANCOVA adjusted for baseline values. Results: Consent to participate was 41%, 99% were successfully genotyped, and 92% completed 3-month follow-up. Intervention participants reported high satisfaction with the personalized booklet (mean = 8.6, SD = 1.6; on a 0–10 scale) and genetic counseling (mean = 8.1, SD = 2.2). No significant behavioral effects at 3-month follow-up were identified between intervention and control groups overall: objectively measured standard erythemal doses per day [−16%; 95% confidence interval (CI), −43% to 24%] and sun protection index (0.05; 95% CI, −0.07 to 0.18). There was increased confidence identifying melanoma at 3 months (0.40; 95% CI, 0.10–0.69). Stratified by risk category, effect sizes for intentional tanning and some individual sun protection items appeared stronger for the average-risk group. There were no appreciable group differences in skin cancer–related worry or psychologic distress. Conclusions: Our results demonstrate feasibility and acceptability of providing personalized genomic risk of melanoma to the public. Impact: Genomic risk information has potential as a melanoma prevention strategy. Cancer Epidemiol Biomarkers Prev; 26(2); 212–21. ©2016 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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