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Abstract B04: Development of a comprehensive colorectal cancer risk prediction tool (CRiPT) incorporating known and unknown major genes and polygenes
This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR10) of the Conference Proceedings.Citation Format: Aung Ko Win, Mark A. Jenkins, James G. Dowty, Antonis C. Antoniou, Andrew Lee, Yingye Zheng, Noralane M. Lindor, Polly A. Newcomb, John L. Hopper, Robert J. MacInnis. Development of a comprehensive colorectal cancer risk prediction tool (CRiPT) incorporating known and unknown major genes and polygenes. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 1...
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: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR03: Association of environmental risk factors, family history, and polygenic risk scores with chronic lymphocytic leukemia
Conclusions: We found evidence of independent effects among the genetic and non-genetic factors with risk of CLL. Among these factors, the PRS had the largest effect size. Although we did not observe any statistical interactions, larger sample sizes are warranted to fully evaluate these effects on risk of CLL. We are currently increasing our sample size through collaboration with other research groups. Final results will be presented in the meeting.This abstract is also being presented as Poster A06.Citation Format: Geffen Kleinstern, Dennis Robinson, Tim G. Call, Mark Liebow, Silvia de Sanjosé, Yolanda Benavente, J...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Kleinstern, G., Robinson, D., Call, T. G., Liebow, M., Sanjose, S. d., Benavente, Y., Cerhan, J. R., Slager, S. L. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research

Abstract IA03: Requirements for a statistical prediction model to receive AJCC endorsement
The American Joint Committee on Cancer (AJCC) has recognizes the need for more personalized predictions than those delivered by cancer staging systems. In particular, the use of accurate risk models or calculators is seen as valuable. However, judging the quality and acceptability of a risk model is difficult. The AJCC Precision Medicine Core formed a committee to establish inclusion and exclusion criteria necessary for a risk model to potentially be endorsed by the AJCC. They identified 13 inclusion and 3 exclusion criteria for AJCC risk model endorsement. The criteria centered on performance metrics, implementation clari...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Kattan, M. W. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract A03: Risk prediction for gastric cancer using the GWAS-identified SNPs, Helicobacter pylori infection and lifestyle-related risk factors in a Japanese population
Advances in molecular genetics have the potential to impact cancer prevention. However, the contribution of this information to determining the risk of cancer of the stomach at the population level in combination with biological and lifestyle-related factors has not been evaluated. Here, we established a risk prediction model of gastric cancer using genetic, biological, and lifestyle-related risk factors as a potential practical application in interventions for cancer prevention.We conducted two independent age- and sex-matched case-control studies, the first for model derivation (697 cases and 1,372 controls) and the seco...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Ito, H., Oze, I., Matsuo, K. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR02: Validation of breast cancer risk prediction model using Nurses Health and Nurse Health II Studies
Conclusions: These results confirm that breast cancer risk prediction models can discriminate between high-risk and low-risk women, but they also highlight that the accuracy of absolute risk estimates can vary across populations. Findings from this study can add insights into model improvement and model application. Moreover, the method of using IPW weights to approximate a full cohort analysis provides a potential solution for utilizing nested case-control studies in future validation analyses.This abstract is also being presented as Poster A05.Citation Format: Chi Gao, Parichoy Pal Choudhury, Paige Maas, Rulla Tamimi, He...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Gao, C., Choudhury, P. P., Maas, P., Tamimi, R., Eliassen, H., Chatterjee, N., Garcia-Closas, M., Kraft, P. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research

Abstract IA02: A brief overview of building and validating absolute risk models
Statistical models that predict disease incidence, disease recurrence or mortality following disease onset have broad public health and clinical applications. Of great importance are models that predict absolute risk, namely the probability of a particular outcome, e.g. breast cancer, in the presence of competing causes of mortality. Although relative risks are useful for assessing the strength of risk factors, they are not nearly as useful as absolute risks for making clinical decisions or establishing policies for disease prevention. That is because such decisions or policies often weigh the favorable effects of an inter...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Pfeiffer, R. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B02: Recreational physical activity, sedentary time and the incidence of colorectal polyps in a screening population for colon cancer
Conclusions: In this large population undergoing colonoscopy screening for colorectal cancer, rMVPA was associated with reduced prevalence of polyps at screening, particularly among females. Even low amounts of regular ST (2-5hrs/day) were associated with the presence of polyps, particularly among males. Strategies aimed at reducing the amount of pre-carcinogenic colon lesions should combine increasing rMVPA and reducing ST.Citation Format: Darren R. Brenner, Demetra H. Yannitsos, Matthew Warkentin, Eileen Shaw, Nigel T. Brockton, S. Elizabeth McGregor, Susanna Town, Robert J. Hilsden. Recreational physical activity, seden...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Brenner, D. R., Yannitsos, D. H., Warkentin, M., Shaw, E., Brockton, N. T., McGregor, S. E., Town, S., Hilsden, R. J. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract B01: Testing a multilevel risk prediction model in high risk men enrolled in a prostate cancer early detection program
Conclusion: This study is the first to investigate the role of neighborhood in PCa risk prediction. While risk prediction models show little change, significant neighborhood effects in multilevel models warrant additional study and could inform future health disparity studies.Citation Format: Shannon M. Lynch, Elizabeth Handorf, Elizabeth Blackman, Lisa Bealin, Shiju Daniel, Veda N. Giri, Elias Obeid, Camille Ragin, Mary B. Daly. Testing a multilevel risk prediction model in high risk men enrolled in a prostate cancer early detection program. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Lynch, S. M., Handorf, E., Blackman, E., Bealin, L., Daniel, S., Giri, V. N., Obeid, E., Ragin, C., Daly, M. B. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A01: Gastric cancer pre-screener project: Development of a comprehensive gastric cancer risk questionnaire
Conclusion: A valid, comprehensible, relevant and ethnically appropriate survey instrument that comprehensively assesses all validated risk factors for gastric cancer has been developed, and will be used for primary data collection in a future case-control study aimed at ultimately creating a simple pre-screening instrument that can be used for the opportunistic screening for gastric cancer.Citation Format: Haejin In, Marisa Langdon-Embry, Judith Wylie-Rosett, Bruce Rapkin. Gastric cancer pre-screener project: Development of a comprehensive gastric cancer risk questionnaire. [abstract]. In: Proceedings of the AACR Special ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: In, H., Langdon-Embry, M., Wylie-Rosett, J., Rapkin, B. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

No Association between Radiation Dose from Pediatric CT Scans and Risk of Subsequent Hodgkin Lymphoma
Conclusions: Radiation exposure from pediatric CT scans 2 or more years before diagnosis was not associated with Hodgkin lymphoma in this large UK cohort. Impact: These findings are consistent with the majority of previous studies, which do not support a link between ionizing radiation and Hodgkin lymphoma. The results contrast our previous positive findings in this cohort for brain tumors and leukemia, both of which are known to be strongly linked to radiation exposure during childhood. Cancer Epidemiol Biomarkers Prev; 26(5); 804–6. ©2017 AACR. (Source: Cancer Epidemiology Biomarkers and Prevention)
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Berrington de Gonzalez, A., Journy, N., Lee, C., Morton, L. M., Harbron, R. W., Stewart, D. R., Parker, L., Craft, A. W., McHugh, K., Little, M. P., Pearce, M. S. Tags: Null Results in Brief Source Type: research

Changes in the Glycosylation of Kininogen and the Development of a Kininogen-Based Algorithm for the Early Detection of HCC
Conclusions: An algorithm combining fucosylated kininogen, AFP, and clinical characteristics is highly accurate for early HCC detection. Impact: Our biomarker algorithm could significantly improve early HCC detection and curative treatment eligibility in patients with cirrhosis. Cancer Epidemiol Biomarkers Prev; 26(5); 795–803. ©2017 AACR. (Source: Cancer Epidemiology Biomarkers and Prevention)
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Wang, M., Sanda, M., Comunale, M. A., Herrera, H., Swindell, C., Kono, Y., Singal, A. G., Marrero, J., Block, T., Goldman, R., Mehta, A. Tags: Research Articles Source Type: research

Alcohol Intake and Breast Cancer Risk in African American Women from the AMBER Consortium
Conclusions: Among African American women, similar to women of European descent, drinking ≥7 alcoholic dpw was associated with an increased risk of breast cancer regardless of subtype. Impact: Alcohol intake is a modifiable risk factor for breast cancer, and reduced intake among African American women should be encouraged. Cancer Epidemiol Biomarkers Prev; 26(5); 787–94. ©2017 AACR. (Source: Cancer Epidemiology Biomarkers and Prevention)
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Williams, L. A., Olshan, A. F., Hong, C.-C., Bandera, E. V., Rosenberg, L., Cheng, T.-Y. D., Lunetta, K. L., McCann, S. E., Poole, C., Kolonel, L. N., Palmer, J. R., Ambrosone, C. B., Troester, M. A. Tags: Research Articles Source Type: research

Weight Fluctuation and Cancer Risk in Postmenopausal Women: The Women's Health Initiative
Conclusions: Weight gain and weight cycling were positively associated with risk of breast and endometrial cancer, respectively. Impact: These data suggest weight cycling and weight gain increase risk of prevalent cancers in postmenopausal women. Adopting ideal body-weight maintenance practices before and after weight loss should be encouraged to reduce risk of incident breast and endometrial cancers. Cancer Epidemiol Biomarkers Prev; 26(5); 779–86. ©2017 AACR. (Source: Cancer Epidemiology Biomarkers and Prevention)
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Welti, L. M., Beavers, D. P., Caan, B. J., Sangi-Haghpeykar, H., Vitolins, M. Z., Beavers, K. M. Tags: Research Articles Source Type: research

Tobacco Use and Cancer Risk in the Agricultural Health Study
Conclusions and Impact: Cigarette smokers who additionally ever used smokeless tobacco had cancer risks similar to exclusive cigarette smokers. Users of cigarettes and other combustible tobacco may have higher risks of certain cancers than exclusive cigarette users. Cancer Epidemiol Biomarkers Prev; 26(5); 769–78. ©2016 AACR. (Source: Cancer Epidemiology Biomarkers and Prevention)
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Andreotti, G., Freedman, N. D., Silverman, D. T., Lerro, C. C., Koutros, S., Hartge, P., Alavanja, M. C., Sandler, D. P., Freeman, L. B. Tags: Research Articles Source Type: research

Decreasing Black-White Disparities in Colorectal Cancer Incidence and Stage at Presentation in the United States
Conclusions: Black–white disparities in colorectal cancer incidence and stage at presentation have decreased over time. Impact: Our findings reflect the positive impact of efforts to improve colorectal cancer disparities and emphasize the need for interventions to further reduce the incidence gap. Cancer Epidemiol Biomarkers Prev; 26(5); 762–8. ©2016 AACR. (Source: Cancer Epidemiology Biomarkers and Prevention)
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: May, F. P., Glenn, B. A., Crespi, C. M., Ponce, N., Spiegel, B. M. R., Bastani, R. Tags: Research Articles Source Type: research