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 IA10: Targeted imaging of the serrated pathway for early detection of colorectal cancer
Conclusions: We have identified a fluorescently-labeled peptide that is safe for clinical use, and is specific for detecting SSAs in the proximal colon with wide-field imaging. This targeted imaging methodology may be useful for early detection of pre-malignant serrated lesions on routine colonoscopy.Citation Format: Thomas D. Wang. Targeted imaging of the serrated pathway for early detection of colorectal 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 ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Wang, T. D. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract B10: Development of a cancer risk prediction tool for use in the Risk Estimation For Lifestyle Enhancement Combined Trial (REFLECT)
This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR14) of the Conference Proceedings.Citation Format: Artitaya Lophatananon, Kawthar Alajmi, Emma Thorpe, John Hughes, Joanna Blodgett, Bernadette Fisher, Simon Rogers, Erika K. Waters, Kenneth R. Muir. Development of a cancer risk prediction tool for use in the Risk Estimation For Lifestyle Enhancement Combined Trial (REFLECT). [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Ph...
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: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A10: Analysis of gene expression and DNA methylation profiles of Notch signaling pathway genes in human glioblastoma
This study for the first time provides gene expression and DNA methylation profiles of Notch pathway genes from glioblastoma patient samples. We have identified genes whose expression may be regulated by epigenetic mechanisms and thus can be used as markers that may guide treatment decisions.Note: This abstract was not presented at the conference.Citation Format: Madhuri G S Aithal, Rajeswari Narayanappa. Analysis of gene expression and DNA methylation profiles of Notch signaling pathway genes in human glioblastoma. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention ...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Aithal, M. G. S., Narayanappa, R. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR09: Prostate cancer prognostication based on an actionable metabolic pathway
Conclusions: SQLE performs well as a single biomarker of prostate cancer lethality after primary therapy, in contrast to other markers of intratumoral cholesterol regulation. Improvements in prognostication are minimal when SQLE is added to a model that contains a centrally re-reviewed Gleason grade. Most importantly, SQLE may be an actionable, predictive biomarker of benefit from statin therapy, which addresses the cholesterol synthesis pathway regulated by SQLE.Citation Format: Konrad H. Stopsack, Travis A. Gerke, Lorelei A. Mucci, Jennifer R. Rider. Prostate cancer prognostication based on an actionable metabolic pathwa...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Stopsack, K. H., Gerke, T. A., Mucci, L. A., Rider, J. R. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research

Abstract B09: Serum vitamin D levels in breast cancer patients to assess its risk prediction to improve health
Conclusion: Invariably almost all patients with breast cancer were vitamin D deficient. Tumor characteristics and BMI did not show any significant associations with serum levels of vitamin D.Note: This abstract was not presented at the conference.Citation Format: Vinit Mehrotra, Ashutosh Sharma. Serum vitamin D levels in breast cancer patients to assess its risk prediction to improve health. [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):A...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Mehrotra, V., Sharma, A. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A09: A next generation sequencing based microsatellite instability assay suitable for routine risk stratification in colorectal cancer
In this study, we tested 17 short (7-12bp) mononucleotide markers (previously identified by our team via an in silico analyses of whole genome sequencing data). These 17 markers were able to discriminate between MSI-high (MSI-H) and microsatellite stable (MSS) cases. To define the optimal parameters to discriminate between MSI-H and MSS samples, we tested these 17 markers across a panel of 141 CRC samples. This allowed us to define a scoring scheme for the 17 markers using allelic imbalance based on a linked SNP (called weighted scoring scheme), which achieved 96% sensitivity and 100% specificity. This scoring scheme was t...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Alhilal, G., Redford, L., Alonso, A., Moreno, S., Arends, M., Oniscu, A., O'Brien, O., Needham, S., Burn, J., Jackson, M., Santibanez-Koref, M. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR07: Comparison of risk model recommendations for women at high-risk of breast cancer based on clinical thresholds using the Prospective Family Study Cohort (ProF-SC)
Conclusion: These results suggest that there is a considerable discordancy between two commonly used risk models to determine high risk classification for MRI and chemoprevention. There is a greater concordancy between the two models when using a shorter time-horizon, especially for women over the age of 50 years. However, as MRI and chemoprevention for high-risk women often needs to start before the age of 50 years, there is a great need to enhance risk assessment for these younger high risk women.Citation Format: Mary Beth Terry, Kelly-Anne Phillips, Yuyan Liao, Robert J. MacInnis, Gillian S. Dite, Mary B. Daly, Esther M...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Terry, M. B., Phillips, K.-A., Liao, Y., MacInnis, R. J., Dite, G. S., Daly, M. B., John, E. M., Andrulis, I. L., Buys, S. S., Buchsbaum, R., Hopper, J. L. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research

Abstract IA07: Using genetic information in screening and prevention: Perspective of clinicians and policy-makers
How can genetic information be effectively used in screening and prevention?The conceptual framework and rules of evidence for answering this question - widely used by clinicians, policy-makers, and payors - has been developed over decades in the field of Evidence-Based Medicine, exemplified by the approach of the USPSTF (US Preventive Services Task Force) and EGAPP (Evaluation of Genomic Applications in Practice and Prevention). The framework's principles include using the best evidence (clinical trials where available, and observational data where necessary) assessed in systematic searches that consider quality of each s...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Ransohoff, D. F. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract PR06: Using frailty models to improve familial cancer risk prediction
There are numerous statistical models used to identify individuals at high risk of cancer due to inherited mutations. We focus on models using Mendelian laws of inheritance to calculate the probability that a counselee is a mutation carrier and their future risk of cancer based on family history and known mutation prevalence and penetrance (the probability of having a disease at a certain age given the person's genotype). Mendelian risk prediction models for various cancers have previously been developed. These models include BRCAPRO, which identifies individuals at high risk for breast or ovarian cancer by calculatin...
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: Oral Presentations - Proffered Abstracts Source Type: research

Abstract B06: Utah familial colorectal cancer risk model
This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR11) of the Conference Proceedings.Citation Format: Robert J. MacInnis, Mark A. Jenkins, John L. Hopper, Lisa A. Cannon-Albright. Utah familial colorectal cancer risk 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 B06. (Source: Cancer Epidemiology Biomarkers and Prevention)
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: Poster Presentations - Proffered Abstracts Source Type: research

Abstract A06: Association of environmental risk factors, family history, and polygenic risk scores with chronic lymphocytic leukemia
This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR03) of the Conference Proceedings.Citation Format: Geffen Kleinstern, Dennis Robinson, Tim G. Call, Mark Liebow, Silvia de Sanjosé, Yolanda Benavente, James R. Cerhan, Susan L. Slager. Association of environmental risk factors, family history, and polygenic risk scores with chronic lymphocytic leukemia. [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):...
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: Poster Presentations - Proffered Abstracts Source Type: research

Abstract PR05: Does a comprehensive family history of colorectal cancer improve risk prediction?
Conclusion: Our CRC prediction model that incorporates more comprehensive family history of CRC can provide improved calibration and discrimination of risks compared with the simple FH model, especially in populations with higher underlying risk. The models developed may potentially further improve screening decision making among subgroups with elevated CRC risk.References:1. Freedman AN, Slattery ML, Ballard-Barbash R, et al. Colorectal cancer risk prediction tool for white men and women without known susceptibility . J Clin Oncol 2009;27(5):686-693.2. Antoniou AC, Pharoah PDP, McMullan G, et al. A comprehensive model for...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Zheng, Y., Hua, X., Win, A. K., Jenkins, M., Macinnis, R., Newcomb, P. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research

Abstract IA05: Modeling genetic susceptibility to breast cancer
Several breast cancer genetic susceptibility variants have been identified to date. These include mutations in the high risk BRCA1 and BRCA2 genes, other rare genetic variants conferring intermediate to high risks (e.g. PALB2, CHEK2, ATM and others) and >150 common alleles (SNPs) conferring low risks. The presentation will provide an overview of the latest developments and challenges in understanding the penetrance of mutations in BRCA1, BRCA2 and PALB2. Genetic counseling of women with BRCA1 and BRCA2 mutations currently relies on average cancer risk estimates obtained from retrospective penetrance studies. The talk wi...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Antoniou, A. C. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research

Abstract A05: Validation of breast cancer risk prediction model using Nurses Health and Nurse Health II Studies
This abstract is being presented as a short talk in the scientific program. A full abstract is printed in the Proffered Abstracts section (PR02) of the Conference Proceedings.Citation Format: Chi Gao, Parichoy Pal Choudhury, Paige Maas, Rulla Tamimi, Heather Eliassen, Nilanjan Chatterjee, Montserrat Garcia-Closas, Peter Kraft. Validation of breast cancer risk prediction model using Nurses Health and Nurse Health II Studies. [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 B...
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: Poster Presentations - Proffered Abstracts Source Type: research

Abstract IA04: Validation of a simplified Rosner-Colditz breast cancer incidence model in the California Teachers' Study
Conclusion: The simplified RC model based on baseline risk factors is practical to use in a clinical setting and has a significantly higher AUC than the Gail model when validated in an external sample. AUC is better for short-term (4-year) vs. long-term risk prediction. Calibration is slightly off using both models and indicates that expected risks are slightly higher than observed risks for both short-term and long-term models.Citation Format: Bernard A. Rosner. Validation of a simplified Rosner-Colditz breast cancer incidence model in the California Teachers' Study. [abstract]. In: Proceedings of the AACR Special Confere...
Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Rosner, B. A. Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Invited Abstracts Source Type: research