Cancer Epidemiology Biomarkers and Prevention This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Abstract B15: Communicating information about personalised genomic risk of melanoma to family, friends, and health professionals
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: Proceed...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Cust, A. E., Smit, A. K., Espinoza, D., Louise, K., Butow, P. N., Dunlop, K., Kirk, J., Newson, A. J. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A15: Breast cancer subtype subsequent to a benign breast biopsy among African American women
Conclusions: The women with a previous benign breast biopsy in our cohort who develop a subsequent breast cancer have subtypes that are similar to the general African American population in the United States. Thus, our BBD cohort represents the full spectrum of invasive breast cancers with respect to subtype, including triple negative tumors.Citation Format: Julie J. Ruterbusch, Michele L. Cote, Julie Boerner, Eman Abdulfatah, Baraa Alosh, Vishakha Pardeshi, MHD Fayez Daaboul, Woodlyne Roquiz, Rouba Ali-Fehmi, Sudeshna Bandyopadhyay. Breast cancer subtype subsequent to a benign breast biopsy among African American women. [...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Ruterbusch, J. J., Cote, M. L., Boerner, J., Abdulfatah, E., Alosh, B., Pardeshi, V., Daaboul, M. F., Roquiz, W., Ali-Fehmi, R., Bandyopadhyay, S. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR14: Development of a cancer risk prediction tool for use in the Risk Estimation For Lifestyle Enhancement Combined Trial (REFLECT)
Exposure to modifiable lifestyle and environmental risk factors accounts for approximately 40% of all cancers in the UK. Therefore, primary prevention is of growing importance and an effective and engaging strategy that encourages long-term adoption of healthy lifestyle behaviours is required.Several multivariable risk prediction models have been developed to assess an individual's risk of developing specific cancers. Such models can be used in a variety of settings for prevention, screening, and guiding investigation and treatment. Models aimed at predicting future disease risk that contains modifiable factors may be of p...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Lophatananon, A., Alajmi, K., Thorpe, E., Hughes, J., Blodgett, J., Fisher, B., Rogers, S., Waters, E. K., Muir, K. R. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research

Abstract B14: Modulating effects of green and black tea on biomarkers of chronic inflammation by gender and smoking status
Conclusion: This data implies that smokers are more likely to benefit from green tea intake while the beneficial effects of black tea are observed among former smokers.Note: This abstract was not presented at the conference.Citation Format: Iman A. Hakim, Sami A. Aldaham, Janet Foote, H-H Sherry Chow. Modulating effects of green and black tea on biomarkers of chronic inflammation by gender and smoking status. [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 ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Hakim, I. A., Aldaham, S. A., Foote, J., Chow, H.-H. S. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR13: External validation of a risk prediction model for lung cancer among smokers
Early detection strategies for lung cancer may be improved by using valid risk prediction models to identify persons at highest risk for the disease. However, external validation of lung cancer risk prediction models has been limited. We sought to externally validate the PLCOM2012 model, which predicts the probability of lung cancer within six years on the basis of age, race, education, body mass index, chronic obstructive pulmonary disease, personal history of cancer, family history of lung cancer, and smoking status, quantity, duration, and quit years, in the Kaiser Permanente Northern California (KPNC) Research Program ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Sakoda, L. C., Habel, L. A., Thai, K. K., Quesenberry, C. P. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research

Abstract IA13: A practical approach to reducing the burden of ovarian cancers
Ovarian cancer has seen a modest improvement in five-year survival over the past three decades. It is well known that the lack of further success is solely due to the advanced stage at diagnosis for most women with ovarian cancers. To reduce the burden of ovarian cancer, we must decrease the incidence (primary prevention), improve early detection (secondary prevention), or develop more effective treatments for newly diagnosed disease (tertiary prevention). Large scale screening trials using traditional methods of imaging and tumor markers have not led to meaningfully stage migration, reduction in mortality, or widespread c...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: A., D. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B13: Adherence to cancer-specific prevention recommendations reduces risk of cancer in participants in Alberta's Tomorrow Project, Alberta, Canada
Conclusions: Adherence to cancer-specific prevention recommendations may reduce the risk of developing cancer. The adherence composite score constructed in this study may serve as a surrogate lifestyle indictor for predicting those at high risk of developing cancer. Future work should focus on assessing contribution of each component of the overall risk reduction within the total score.Disclosure: This study was supported by Alberta Cancer Foundation, the Alberta Cancer Prevention Legacy Fund, and the Canadian Partnership Against Cancer.Citation Format: Jian-Yi Xu, Jennifer E Vena, Heather K Whelan, Paula J Robson. Adheren...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Xu, J.-Y., Vena, J. E., Whelan, H. K., Robson, P. J. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A13: Tooth loss, liver cancer incidence, and chronic liver disease mortality in the ATBC study
Conclusions: In this study, greater number of teeth lost was associated with higher risk of primary liver cancer. Further investigations are warranted to clarify the role of periodontal infection in hepatocarcinogenesis and to determine the utility of tooth loss as a predictor of liver cancer development.Citation Format: Baiyu Yang, Jessica L. Petrick, Christian C. Abnet, Barry I. Graubard, Stephanie J. Weinstein, Satu Männistö, Demetrius Albanes, Katherine A. McGlynn. Tooth loss, liver cancer incidence, and chronic liver disease mortality in the ATBC study. [abstract]. In: Proceedings of the AACR Special C...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Yang, B., Petrick, J. L., Abnet, C. C., Graubard, B. I., Weinstein, S. J., Männistö, S., Albanes, D., McGlynn, K. A. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract IA12: Risk-assessment in HPV-based cervical cancer screening
Cervical cancer screening is rapidly evolving to incorporate highly accurate molecular methods that are able to categorize women's risk of cervical cancer and allow recommendations for follow-up or treatment. HPV nucleic acid testing provides highly sensitive and reproducible detection of HPV infection, a necessary cause of cervical cancer. Thus, virtually all women who have a cervical cancer precursor or who will develop one in the following years are HPV positive. On the other hand, the vast majority of HPV positive women have transient infections that will disappear in a few months. In this context, further evaluation o...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Herrero, R. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B12: The effect of physical activity and body size on mammographic density in high-risk, BRCA mutation-negative women
Conclusion: In this cohort of high-risk women, high BMI was associated with lower MD that was suggestively stronger for premenopausal women. Although preliminary, these findings suggest a possible mechanism by which a lifestyle factor may influence MD, and possibly breast cancer risk, in high-risk women. Further evaluation with a larger sample size is needed to elucidate the relationships between physical activity, as well as other modifiable factors, and MD in this cohort of women. This study adds to the growing evidence supporting the inclusion of MD into breast cancer risk prediction models, in order to improve individu...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Moran, O. M., Nikitina, D., Gunasekara, A., Yaffe, M. J., Metcalfe, K. A., Narod, S. A., Kotsopoulos, J. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A12: Urinary levels of PGE-M and estrogens are independently associated with postmenopausal breast cancer risk
Prostaglandin E2 (PGE2) induces aromatase expression in adipose tissue leading to increased estrogen production that may promote the development and progression of breast cancer. However, few studies have simultaneously investigated systemic levels of PGE2 and estrogen in relation to postmenopausal breast cancer risk. In a case-cohort study of postmenopausal women (295 cases and 294 subcohort) we previously reported that high levels of PGE-M, a major metabolite of PGE2, were associated with an increased risk of breast cancer among postmenopausal women who did not regularly use nonsteroidal anti-inflammatory drugs (NSAIDs)....
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Kim, S., Campbell, J., Yoo, W., Taylor, J. A., Sandler, D. P. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR11: Utah familial colorectal cancer risk model
Conclusions: This simple algorithm shows that knowing the total number of affected parents, siblings, children, SDRs and TDRs, irrespective of the age at diagnosis, is sufficient for accurate estimation of FRR. This model could be useful in the clinical and genetic counseling setting.1. Taylor DP, et al. Population-based family history-specific risks for colorectal cancer: a constellation approach. Gastroenterology. 2010 Mar;138(3):877-85.This abstract is also being presented as Poster B06.Citation Format: Robert J. MacInnis, Mark A. Jenkins, John L. Hopper, Lisa A. Cannon-Albright. Utah familial colorectal cancer risk mod...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: MacInnis, R. J., Jenkins, M. A., Hopper, J. L., Cannon-Albright, L. A. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research

Abstract IA11: Life course epidemiology and breast cancer: translating risk into prevention
Molecular histology may be conceptualized as the microscopic and molecular characteristics of normal tissues that are required for physiologic function. Over the life course, the molecular histology of the breast changes in response to physiological alterations, imparting spatial and temporal heterogeneity within the breasts of individuals and among women. These transitions contribute to the enormous range and imprecisely defined limits of what pathologists consider normal. Appreciation that molecular histology may reflect the cumulative influence of prior exposures linked to breast cancer risk, and may provide information...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Sherman, M. E. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B11: Projecting individualized absolute risk of developing gastric cancer in Koreans
This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR15) of the Conference Proceedings.Citation Format: Minkyo Song, Jae Jeong Yang, Hyuna Sung, Seong-Ho Kong, Hyuk-Joon Lee, Hyung-Ho Kim, Sang Gyun Kim, Han-Kwang Yang, Norie Sawada, Shoichiro Tsugane, Manami Inoue, Daehee Kang. Projecting individualized absolute risk of developing gastric cancer in Koreans. [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): AAC...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Song, M., Yang, J. J., Sung, H., Kong, S.-H., Lee, H.-J., Kim, H.-H., Kim, S. G., Yang, H.-K., Sawada, N., Tsugane, S., Inoue, M., Kang, D. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR10: Development of a comprehensive colorectal cancer risk prediction tool (CRiPT) incorporating known and unknown major genes and polygenes
Conclusion: CRiPT is a comprehensive prediction model that incorporates both known and unknown major genes and polygenes. CRiPT can provide the probabilities of having a mutation in a DNA mismatch repair gene or MUTYH as well as estimate future risk (e.g., 5-year risk) of developing colorectal cancer. This model is similar to the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) that calculates for women the probabilities of carrying a BRCA1 or BRCA2 mutation and their future risk of developing breast and ovarian cancer based on their family history. Further work will include meas...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Win, A. K., Jenkins, M. A., Dowty, J. G., Antoniou, A. C., Lee, A., Zheng, Y., Lindor, N. M., Newcomb, P. A., Hopper, J. L., MacInnis, R. J. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research