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Abstract A30: Affordability of screening, race and marital status predict early detection of breast cancer: Analysis of cancer registry data
Conclusion: Affordability of cancer screening services plays an important role in early detection of breast cancer. Hence, the coverage of preventive services through the Affordable Care Act is likely to be a positive policy change leading to higher screening rates and thereby, higher rates of early detection of breast cancer. Further, there exist racial disparities in early diagnosis of breast cancer that may be due to differential access to screening services. Targeted policy efforts will be needed to address these disparities to improve outcomes of breast cancer for all race groups.Citation Format: Aastha Chandak, Preet...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Chandak, A., Nayar, P., Kan, G., Gupta, N. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract B29: Terahertz spectral imaging and scanning for early detection of skin cancer
A terahertz diagnosis tool has been developed to identify early stage skin cancer at the cellular level. Here, three different techniques are used where each technique independently identifies a given disease condition compared to healthy skin specimen; thus, collectively forms a diagnostic procedure with minimal falls alarm. Namely, terahertz sub-surface spectral imaging, terahertz absorbance spectroscopy and skin thickness profiling have been used. Terahertz radiation is non-ionizing, therefore, save for in-vivo investigations. It is also more sensitive than other forms of probing energies. In the present work, biopsies ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Rahman, A., Rahman, A. K., Rao, B. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A29: Mathematical models are not the be-all and end-all for breast cancer risk assessment
Conclusions: Our institutional high-risk database includes women who are at high risk based on well-established risk factors for developing breast cancer (FH, BRCA mutations, AH, LCIS). Current mathematical models including the Gail and Tyrer-Cuzick models did not capture the increased risk of breast cancer in 8% of our population. While the models are helpful, in clinical practice they are not necessarily the be-all and end-all. Using heuristic risk factors is more time efficient and comprehensive risk assessment allows the clinicians and patients to better understand risk. Identifying patients as high risk and enrolling ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Schnabel, F., Chun, J., Schwartz, S., Guth, A., Axelrod, D., Shapiro, R., Hiotis, K., Smith, J. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract B28: Clinicopathological features associated with late recurrence of gastric cancer
Conclusion: Late recurrence of gastric cancer is possibly not influenced by advanced stage of primary disease. More attempts to find high risk groups for late recurrence of gastric cancer are needed.Citation Format: Ji Soo Park, Chu Ree Won, Taeil Son, Hyoung-Il Kim, Woo Jin Hyung, Sung Hoon Noh, Tae Il Kim. Clinicopathological features associated with late recurrence of gastric cancer. [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):Abstra...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Park, J. S., Won, C. R., Son, T., Kim, H.-I., Hyung, W. J., Noh, S. H., Kim, T. I. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A28: Risk model for clinical management of HPV-infected women
Conclusions: Based on our preliminary results, the fate of most HPV infections is determined within a few years of first detection, based mainly on characteristics of the virus. MRS summarizes the average risk discrimination of the prediction model compared to pre-test probability, permitting estimation of its expected benefit. We hypothesize and will test whether multivariate calculations of absolute risks and the use of mean risk stratification can lead to improved risk-based clinical management of HPV-infected women.Citation Format: Maria Demarco, Noorie Hyun, Hormuzd Katki, Brian Befano, Li Cheung, Tina R. Raine-Bennet...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Demarco, M., Hyun, N., Katki, H., Befano, B., Cheung, L., Raine-Bennett, T. R., Fetterman, B., Lorey, T., Poitras, N., Gage, J. C., Castle, P. E., Wentzensen, N., Schiffman, M. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract B27: Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes
Conclusion: Mammographic density phenotypes were more strongly associated with aggressive cancer (having two or more of the following: size ≥2cm, grade 2 or 3, or positive nodes) vs. non-aggressive types of breast cancer across categories of menopause and hormone therapy types.Citation Format: Lusine Yaghjyan, Rulla Tamimi, Kimberly Bertrand, Christopher G. Scott, Matthew R. Jensen, Shane Pankratz, Kathleen Brandt, Daniel Visscher, Aaron Norman, Fergus Cough, John Shepherd, Bo Fan, Yunn-Yi Chen, Lin Ma, Andrew H. Beck, Steven R. Cummings, Karla Kerlikowske, Celine Vachon. Interaction of mammographic breast density with ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Yaghjyan, L., Tamimi, R., Bertrand, K., Scott, C. G., Jensen, M. R., Pankratz, S., Brandt, K., Visscher, D., Norman, A., Cough, F., Shepherd, J., Fan, B., Chen, Y.-Y., Ma, L., Beck, A. H., Cummings, S. R., Kerlikowske, K., Vachon, C. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A27: Timing of pregnancies and oral contraceptive use and risk of ovarian cancer
Background: Parity and use of oral contraceptive (OC) are associated with reduced risk of ovarian cancer. However, it is not clear whether these exposures have similar risk effects during different periods of life. In a large consortial analysis, we seek to evaluate the risk reductions associated with pregnancy and with OC use in different periods during the lifetime of a woman.Methods: We combined data from 17 population-based case-control studies of ovarian cancer that are part of the Ovarian Cancer Association Consortium (OCAC). Odds ratios (ORs) and 95% confidence intervals (CI) for associations between age of pregnanc...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Bodelon, C., Risch, H., Modugno, F., Webb, P., Pearce, C. L., Pike, M., Wentzensen, N. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract B26: Pre- and post-diagnostic use of nonsteroidal anti-inflammatory drugs and prostate cancer mortality among men diagnosed with prostate cancer in the NIH-AARP and PLCO cohorts
Conclusions: This analysis suggests a modest delayed survival benefit of aspirin use before prostate cancer diagnosis and highlights the importance of comorbidity prevention among prostate cancer survivors.Citation Format: Cindy Ke Zhou, Sarah E. Daugherty, Amanda Black, Linda M. Liao, Neal D. Freedman, Christian C. Abnet, Ruth Pfeiffer, Michael B. Cook. Pre- and post-diagnostic use of nonsteroidal anti-inflammatory drugs and prostate cancer mortality among men diagnosed with prostate cancer in the NIH-AARP and PLCO cohorts. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Pr...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Zhou, C. K., Daugherty, S. E., Black, A., Liao, L. M., Freedman, N. D., Abnet, C. C., Pfeiffer, R., Cook, M. B. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A26: Body fatness and adipose tissue subtypes are associated with circulating biomarkers of inflammation and angiogenesis in colorectal cancer patients: The ColoCare Study
Conclusions: We demonstrated a link between specifically visceral adiposity and biomarkers of inflammation in colorectal cancer patients. In addition, we showed that visceral adiposity also affects circulating VEGF-A levels. This protein has various effects, including the induction of angiogenesis, vasculogenesis and endothelial cell growth, as well as the promotion of cell migration, and the inhibition of apoptosis. Our findings support a mechanistic role of visceral adipose tissue in colorectal cancer risk and potentially prognosis.Citation Format: Cornelia M. Ulrich, Jürgen Böhm, Christy Warby, Tengda Lin, Mariam Sa...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Ulrich, C. M., Böhm, J., Warby, C., Lin, T., Salou, M., Gigic, B., Scherer, D., Nattenmueller, J., Ose, J., Zielske, L., Schrotz-King, P., Kölsch, T., Siegel, E., Li, C., Ulrich, A., Glimm, H., Samadder, J., Hursting, S., Kauczor, H.-U. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract IA25: Implementation of risk prediction to improve health: The promises and challenges of precision
Advances in the understanding of risk factors have transformed oncology, providing leads for prevention and, in particular, screening. Part of this transformation has been fueled by studies of molecular changes and genetic mutations that are inherited or that precede cancer by years, potentially leading the way to a new era of precision screening and prevention. However, these new leads bring important challenges that demand caution. As Sean Carroll has pointed out, it turns out that life from the molecular scale all the way up to the ecological scale is usually governed by longer chains of interactions than we first imagi...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Kramer, B. S. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B25: Association of variations in HLA-class II and other loci with susceptibility to EGFR-mutated lung adenocarcinoma
Background: Lung adenocarcinoma (LADC) driven by somatic EGFR mutations is more prevalent in East Asians (30-50%) than in European/Americans (10-20%). Understanding the genetic factors underlying such LADC is required to elucidate disease etiology and to identify effective methods of prevention.Methods: We investigate genetic factors underlying the risk of this disease by conducting a genome-wide association study, followed by two validation studies, in 3,173 Japanese patients with EGFR mutation-positive lung adenocarcinoma and 15,158 controls.Results: Four loci, 5p15.33 (TERT), 6p21.3 (BTNL2, HLA-class II), 3q28 (TP63) an...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Shiraishi, K., Okada, Y., Takahashi, A., Kamatani, Y., Ashikawa, K., Momozawa, Y., Kunitoh, H., Matsumoto, S., Takano, A., Shimizu, K., Goto, A., Tsuta, K., Watanabe, S.-i., Ohe, Y., Watanabe, Y., Goto, Y., Nokihara, H., Furuta, K., Yoshida, A., Goto, K., Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A25: Benign breast disease and subsequent breast cancer risk: The Detroit cohort
Introduction: Atypical hyperplasia (also known as proliferative disease with atypia), while categorized as a benign finding, has been consistently associated with an increased risk of subsequent breast cancer that persists for decades after initial diagnosis. There are various other lesions that are classified as benign breast disease (BBD) that are routinely identified by pathologists that may also increase risk and be of use to inform breast cancer risk models. We sought to identify which BBD lesions were associated with increased risk of breast cancer in an African American (AA) cohort.Methods: Benign breast biopsies fr...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Cote, M. L., Chen, W., Ruterbusch, J. J., Abdulfatah, E., Pardeshi, V., Shaik, A. N., Ghanim, M. T., Daaboul, M. F., Visscher, D. W., Bandyopadhyay, S., Ali-Fehmi, R. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract IA24: Developing and evaluating cancer risk assessment tools for primary care
Numerous risk assessment tools have been developed which predict either current or future risk of a cancer diagnosis yet very few are used in routine clinical practice. These tools could be used for tailored disease prevention, more efficient use of cancer screening tests and to promote behavioural change to reduce cancer risk. We have a growing number of cancer risk-prediction models which incorporate phenotypic, behavioural and, increasingly, genomic variables; these models require simple-to-use risk assessment tools for their implementation into clinical practice, and in particular ones which can be incorporated into pr...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Emery, J. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract A24: BRM polymorphisms, part of a novel epigenetic mechanism, are predictive of cancer risk and clinic outcome in multiple cancer types
BRM polymorphisms lie with the promoter region of the anticancer gene and SWI/SNF catalytic subunit, Brahma (SMARCA2). These polymorphisms statistically correlate with loss of BRM expression in both cell lines and primary lung tumors and function as part of an epigenetic mechanism which underlies BRM reversible silencing. Specifically, these polymorphisms function as the binding site of at least two transcription factors (MEF2D and GATA3) and two HDACs (HDAC3 and HDAC9). These proteins form a complex which drives the reversible silencing of the BRM protein. As BRM can serve as an anticancer protein, in part because BRM and...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Rai, S., Wang, J., Wong, K. M., Qiu, X., Liu, G., Reisman, D. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract IA23: Reducing cancer risk by enabling women to breastfeed
In reproductive physiology, lactation follows pregnancy. In traditional populations, children continue to breastfeed for 3 to 4 years, suggesting that sustained lactation is the biological norm. However, cultural norms are markedly different; while breastfeeding rates in the US have risen dramatically over the past 40 years, just 22.3% of US mothers are able meet consensus medical recommendations for 6 months of exclusive breastfeeding, and only 30.7% continue to breastfeeding through one year. Evidence continues to accrue that this disruption of normal physiology is associated with adverse health outcomes for mothers and ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Stuebe, A. M. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B23: Detection of susceptibility to childhood Acute Lymphoblastic Leukemia (ALL)
Currently, there are no known methods to predict of susceptibility to, and means for prevent Acute Lymphoblastic Leukemia (ALL). We have evaluated and patented a group of proteins dubbed Protein X from a certain strain of Aspergillus Flavus (AF) and developed methods for screening and identifying totally asymptomatic patients in remission of ALL, including long term survivors of this disease, distinguishing them from normal controls. Subject to institutional approved consents/assents, 15-20 ml of blood was obtained from 40 cases of ALL in children and young adults, including long term survivors of ALL. Controls were normal...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Tebbi, C. K. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A23: Plasma osteoprotegerin and breast cancer risk in BRCA1 and BRCA2 mutation carriers
Background: There is emerging evidence to suggest that progesterone-mediated upregulation of the receptor activator of nuclear factor β (RANK)/RANK ligand (RANKL) signaling pathway plays a critical role in mammary gland epithelial cell proliferation, mammary stem cell expansion and carcinogenesis. Of relevance for women at a high risk of developing breast cancer due to an inherited BRCA mutation, are recent findings showing that circulating levels of osteoprotegerin (OPG) (an endogenous decoy receptor for RANKL and thus inhibitor of RANK/RANKL-mediated signaling) are lower in women with a BRCA1 or BRCA2 mutation compa...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Salmena, L., Oden, L., Kim, S., Akbari, M., Sun, P., Narod, S., Kotsopoulos, J. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract IA22: Using risk assessment tools to motivate behavior change
Epidemiology identifies risk factors for cancer and other diseases based on the idea that conveying such information to healthcare providers, the general public, and policy makers will result in population-wide improvements in healthy behaviors and, consequently, population-wide improvements in health outcomes. These actions assume that the audience understands and uses the information to make health-related decisions. However, the language of epidemiology, which is steeped in probabilistic thinking, is not necessarily the language of the general public. Furthermore, growing evidence suggests that the language of epidemiol...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Waters, E. A. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract A22: Association of breast cancer risk and concentrations of tissue estrogens to single strand breaks in DNA
Conclusions: The most likely mechanism by which 4-OHE2 or 2-OHE1 could protect against formation of SSBs in the breast is by their antioxidative properties. 4-OHE2 and other catechol estrogens are capable of undergoing redox reactions, cycling between the catechol structure, semiquinone radical, and o-quinone. They are also capable of forming metal complexes, sequestering metals, preventing them from undergoing redox reactions. In addition, 4-OHE2 has a binding affinity relative to that of estradiol of 1.51; that of 2-OHE1 is 1.02 Therefore, the catechol estrogens have activity similar to or greater than that of estradiol ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Sahadevan, M., Lee, O., Muzzio, M., Phan, B., Jacobs, L., Khouri, N., Wang, J., Hu, H., Stearns, V., Chatterton, R. T. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract IA21: Translating evidence to action: Yourdiseaserisk.wustl.edu
Not very long ago scientific publication was viewed as the primary dissemination goal of scientific discovery. This viewpoint, however, has evolved substantially over the past 10 - 20 years. While scientific discovery and publication remain key to dissemination of findings, it is now often viewed as a single stage in the spectrum from discovery to the application of research results. The view of effective dissemination must now also include the practical world of policy makers, clinicians, health care organizations, and the public – groups that need good data and good tools to make informed decisions that drive indiv...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Colditz, G. A. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B21: The study of {beta}-glucan on the release of nitric oxide by macrophages stimulated with lipopolysaccharide
This research analyzed the effect of β-glucan that is expected to alleviate the production of the inflammatory mediator in a macrophagocyte, which was processed by the lipopolysaccharide (LPS) of Escherichia, a pathogen related to allergy. The incubated layer was used for a nitric oxide (NO) analysis. The DNA-binding activation of the small unit of NF-B was measured using the ELISA-based kit. In the RAW264.7 cells that were vitalized by E.coli LPS, the β-glucan inhibited both the combatant and rendering phases of the inducible NO synthase (iNOS)-derived NO. β-glucan increased the expression of the heme oxyge...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Cho, K. K. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract IA20: Maximizing the impact of risk prediction models: Leveraging lessons learned from risk communication research
The most promising new medications are doomed to be ineffective if not adequately prescribed and taken as directed by patients, highlighting the grave importance of understanding the vicissitudes of human behavior. The same might be said of risk prediction tools. Irrespective of their quality and validity, the successful use and impact of such tools hinges firmly on a thorough understanding of human motivation, emotion, and cognition – the building blocks of human behavior and decision-making. In general, people desire to minimize loss, uncertainty, and ambiguity, and they hold defensive self-serving beliefs about th...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Klein., W. M. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B20: Portinari: Communicating personalized risk in cervical cancer screening using data exploration
Background: Cervical cancer incidence rate has significantly decreased in countries that established organized screening programs. The program invites women in the age group 25 to 69 years for screening exams based on a set of guidelines. The guidelines aim to reduce over-screening of individuals at a very low-risk while effectively detecting and treating individuals at a high-risk of developing cervical cancer. However, risk determined by the screening program for a woman is often different from perception of their own risk. This contributes to a wide range of screening behavior as seen in the data collected by the Cancer...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Sen, S., Ribeiro, M. H., Nygard, M. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract IA19: Can biomarkers be used to improve risk prediction models on lung cancer?
Lung cancer kills over 1.6 million people every year, making it the chief cause of cancer death worldwide. The US National Lung Cancer Screening Trial (NLST) demonstrated in 2011 that screening with computed tomography (CT) scans could reduce lung cancer mortality by 20% and total mortality by 7%. As a result, the US Preventive Services Task Force (USPSTF) has recommended LDCT-screening for lung cancer in ever-smokers aged 55-80 years who have smoked 30 pack-years with no more than 15 years since quitting.However, the NLST study also highlighted several important negative aspects of CT screening in terms of morbidity assoc...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Johansson, M. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B19: Effect of cancer risk and patient preferences on net benefit of lung cancer screening: A Personalized Lung Cancer Screening Model
This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR16) of the Conference Proceedings.Citation Format: Pianpian Cao, Tanner Caverly, Rodney Hayward, Rafael Meza. Effect of cancer risk and patient preferences on net benefit of lung cancer screening: A Personalized Lung Cancer Screening Model. [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 B1...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Cao, P., Caverly, T., Hayward, R., Meza, R. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract IA18: Development and validation of risk models to select ever-smokers for CT lung-cancer screening
The US Preventive Services Task Force (USPSTF) recommends computed-tomography (CT) lung-cancer screening for ever-smokers ages 55-80 years who smoked at least 30 pack-years with no more than 15 years since quitting. However, selecting ever-smokers for screening using individualized lung-cancer risk calculations may be more effective and efficient than current USPSTF recommendations. We compare of modeled outcomes from risk-based CT lung-screening strategies versus USPSTF recommendations. We developed empirical risk models for lung-cancer incidence and death in the absence of CT screening using data on ever-smokers from the...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Katki, H. A., Kovalchik, S. A., Berg, C. D., Cheung, L. C., Chaturvedi, A. K. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B18: Improving pancreatic cancer risk prediction through early detection
Introduction: It is estimated that by 2030 pancreatic cancer will be the second leading cause of cancer deaths in the US. Currently, only 9% of newly diagnosed pancreatic cancer is localized and 5-year survival is 7%. Due to most pancreatic cancers (PC) presenting at a later stage with poor overall survival, early detection methods must be implemented to improve treatment outcomes. Yet, effective early screening guidelines do not exist for pancreatic cancer. Our Early Detection Program (EDP) provides personalized early detection including risk assessment, screening, and genetic testing. We aim to evaluate risk assessment c...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Snyder, C., Haag, S. G., Adams, N., Hess, J., Paskett, B., Borazanci, E. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A18: Using frailty models to improve familial cancer risk prediction
This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR06) of the Conference Proceedings.Citation Format: Theodore Huang, Danielle Braun, Malka Gorfine, Giovanni Parmigiani. Using frailty models to improve familial cancer risk prediction. [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 A18. (Source: Cancer Epidemiology Biomarkers and Prevention)
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Huang, T., Braun, D., Gorfine, M., Parmigiani, G. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR17: Comprehensive colorectal cancer risk prediction to inform personalized screening and intervention
Background and Aims: Colorectal cancer (CRC) is one of the most preventable and treatable cancers when detected early via screening. The current screening guidelines for CRC recommend exams only based on age, family history, and previous screening results. Multiple environmental and lifestyle risk factors, however, have been established or suspected for CRC, as have many common genetic susceptibility loci. It is critical to utilize this information to better stratify individuals into low- and high-risk groups for optimized and personalized screening and intervention recommendations.Methods: Using data from two large consor...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Jeon, J., Berndt, S. I., Brenner, H., Campbell, P. T., Chan, A. T., Chang-Claude, J., Du, M., Giles, G., Gong, J., Gruber, S. B., Harrison, T. A., Hoffmeister, M., LeMarchand, L., Li, L., Potter, J. D., Rennert, G., Schoen, R. E., Slattery, M. L., White, Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research

Abstract IA17: Risk prediction modeling in lung cancer: How can we improve?
Screening for lung cancerThe results of the US National Lung Screening Trial (NLST) were published in 2011 and are considered a landmark event in lung cancer research. This randomised study of 53,454 individuals showed that computed tomography (CT) scans are able to reduce lung cancer mortality by 20% through early detection, although with important cost and morbidity due to overdiagnosis and treatment of benign nodule. A number of European pilot trials have reported, we await the NELSON, which is the only statistically powered screening trial in Europe. There are now discussions on how to implement lung cancer screening t...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Field, J. K., Marcus, M. W. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B17: Comprehensive colorectal cancer risk prediction to inform personalized screening and intervention
This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR17) of the Conference Proceedings.Citation Format: Jihyoun Jeon, Sonja I. Berndt, Hermann Brenner, Peter T. Campbell, Andrew T. Chan, Jenny Chang-Claude, Mengmeng Du, Graham Giles, Jian Gong, Stephen B. Gruber, Tabitha A. Harrison, Michael Hoffmeister, Loic LeMarchand, Li Li, John D. Potter, Gad Rennert, Robert E. Schoen, Martha L. Slattery, Emily White, Michael O. Woods, Ulrike Peters, Li Hsu. Comprehensive colorectal cancer risk prediction to inform personalized screening and interv...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Jeon, J., Berndt, S. I., Brenner, H., Campbell, P. T., Chan, A. T., Chang-Claude, J., Du, M., Giles, G., Gong, J., Gruber, S. B., Harrison, T. A., Hoffmeister, M., LeMarchand, L., Li, L., Potter, J. D., Rennert, G., Schoen, R. E., Slattery, M. L., White, Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR16: Effect of cancer risk and patient preferences on net benefit of lung cancer screening: A personalized lung cancer screening model
Conclusion: Results from our Personalized Lung Cancer Screening Model demonstrate the importance of an individual's estimated baseline lung cancer risk in determining net benefit from LDCT screening. In addition, we found that patient preferences play an important role to determine the extent of net benefit. These findings support the use of a decision-support tool through shared decision making, rather than recommending screening uniformly.This abstract is also being presented as Poster B19.Citation Format: Pianpian Cao, Tanner Caverly, Rodney Hayward, Rafael Meza. Effect of cancer risk and patient preferences on net bene...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Cao, P., Caverly, T., Hayward, R., Meza, R. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research

Abstract B16: Development of breast cancer risk prediction for the UK population using the UK Biobank dataset
In conclusion, we are developing an individualised breast cancer risk prediction model for the UK population based on the modifiable risk factors. The model will enable us to educate and to design appropriate interventions tailored to the individual with the aim of assisting them to make appropriate changes to modify their cancer risk profile.Citation Format: Kawthar Alajmi, Artitaya Lophatananon, Kenneth Muir. Development of breast cancer risk prediction for the UK population using the UK Biobank dataset. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Alajmi, K., Lophatananon, A., Muir, K. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A16: Fibroadenomas on benign breast biopsy and subsequent breast cancer risk in an African American cohort
Introduction: The majority of the 1.6 million breast biopsies performed annually in the United States are benign; however, several breast cancer risk models consider a benign biopsy a factor that increases risk of subsequent breast cancer. Fibroadenomas (FA), benign tumors of epithelial and stromal tissue, occur frequently in premenopausal women and more frequently in African American (AA) women than European American (EA) women. A small increased risk of subsequent breast cancer due to FA has been reported in some studies of EA women. We sought to investigate whether the risk of this lesion differs for AA women.Methods: B...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Shaik, A. N., Ruterbusch, J. J., Abdulfatah, E., Ghanim, M. T., Daaboul, M. F., Pardeshi, V., Ali-Fehmi, R., Visscher, D. W., Bandyopadhyay, S., Cote, M. L. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR15: Projecting individualized absolute risk of developing gastric cancer in Koreans
Conclusions: To our knowledge this is the first study to estimate the absolute risk of gastric cancer in Korean population. The mathematical models developed in the present study will help predict the occurrence of gastric cancer for an individual considering combined risk factors which will help at a personalized level by enabling early detection and preventive efforts. A further development of a model incorporating biomarkers can provide strategies to select individuals at high risk, for screening for gastric cancer.This abstract is also being presented as Poster B11.Citation Format: Minkyo Song, Jae Jeong Yang, Hyuna Su...
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: Oral Presentations - Proffered Abstracts Source Type: research

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
Background: Periodontal disease, a common disorder of the tissue surrounding and supporting the teeth, is a major cause of tooth loss in adults. Periodontal infection by oral microorganisms may have systemic effects and has been associated with several types of cancer. However, its association with liver cancer has only been examined in two prospective studies, both of which had very small number of liver cancer cases (n
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
Background: Family history is an important risk factor for CRC, but there is still confusion about the appropriate guidelines councilors should recommend to people depending on the specifics of their family history. Most previous studies that have estimated familial relative risk (FRR) of CRC have based this on first-degree relatives (FDRs), whereas information on second- or third-degree relatives (SDRs or TDRs) has been of poor quality or non-existent. The most notable exception to this is a publication by Taylor et al that utilized the Utah Population Database (UPDB), a population-based resource with a computerized genea...
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
Aim: We aimed to develop a comprehensive Colorectal cancer Risk Prediction Tool (CRiPT). To achieve this, it is necessary to incorporate germline mutations in the DNA mismatch repair genes and MUTYH to account for a proportion of the familial aggregation of colorectal cancer. Population prevalence of these mutations and the genetic and environmental causes of the remaining familial aggregation, however, are not known.Methods: We studied the families of 5,744 colorectal cancer cases (probands) recruited from population cancer registries in the USA, Canada and Australia, and screened probands for mutations in the mismatch re...
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