Epidemiologist Erin Bowles is looking at cancer and aging from many different perspectives. Her research brings new insight into breast cancer risk factors and treatment, while also helping improve cancer care for patients and families.
As a key member of two large cancer collaborations—the National Cancer Institute (NCI)'s Breast Cancer Surveillance Consortium and the HMO Cancer Research Network (CRN)—Ms.Bowles has developed diverse expertise that includes reading mammograms for breast density and doing statistical analyses. Her past work with Group Health Research Institute (GHRI) investigators Diana Buist, PhD, and Diana Miglioretti, PhD, confirmed that breast density is a key breast cancer risk factor. Her work with Ed Wagner, MD, MPH, resulted in a key publication showing that certain breast cancer treatments increase the risk of heart failure beyond what had been shown in clinical trials. Ms. Bowles is also passionate about doing research to help improve the quality of cancer care. She and CRN colleagues were funded through an NCI challenge grant to develop a national breast cancer surgical quality database and evaluate variation in surgical margins across facilities and providers.
Ms. Bowles' experience working with large cancer cohorts has provided her with expertise in data collection and management. She has worked with natural language processing programmers to successfully obtain findings from breast pathology and radiology reports. She has worked extensively with administrative data and published several papers on the validity of using health plan data for cancer treatment research. Recently she joined the Adult Changes in Thought study team, and is overseeing their large data repository and data sharing for aging research. She is especially interested in enhancing the efficiency of data collection on these large projects, which has been increasingly important in an era of limited funding.
Breast cancer; colorectal cancer; biostatistics; epidemiology; mammography; mammographic breast density; cancer treatment; cancer screening and surveillance; automated data collection; quality of care; medication use; natural language processing; care coordination; administrative data
Access to care; health disparities; health outcomes research; quality of life; measurement of change in health care systems; practice variation
Menopause; hormone replacement therapy (HRT); breast cancer
Cognitive health and dementia; biostatistics; epidemiology; medication use
Pharmacoepidemiology; observational study research methods; chemotherapy
Gard CC, Aiello Bowles EJ, Miglioretti DL, Taplin SH, Rutter CM. Misclassification of Breast Imaging Reporting And Data System (BI-RADS) mammographic density and implications for breast density reporting legislation. Breast J. 2015 Jul 1. doi: 10.1111/tbj.12443. [Epub ahead of print]. PubMed
Carroll NM, Delate T, Menter A, Hornbrook MC, Kushi L, Aiello Bowles EJ, Loggers ET, Ritzwoller DP. Use of bevacizumab in community settings: toxicity profile and risk of hospitalization in patients with advanced non-small-cell lung cancer. J Oncol Pract. 2015 Jun 9. pii: JOP.2014.002980. [Epub ahead of print]. PubMed
Nyante SJ, Sherman ME, Pfeiffer RM, Berrington de Gonzalez A, Brinton LA, Aiello Bowles EJ, Hoover RN, Glass A, Gierach GL. Prognostic significance of mammographic density change after initiation of tamoxifen for ER-positive breast cancer. J Natl Cancer Inst. 2015 Feb 6;107(3). pii: dju425. doi: 10.1093/jnci/dju425. Print 2015. PubMed
Ludman EJ, McCorkle R, Bowles EA, Rutter CM, Chubak J, Tuzzio L, Jones S, Reid RJ, Penfold R, Wagner EH. Do depressed newly diagnosed cancer patients differentially benefit from nurse navigation? Gen Hosp Psychiatry. 2015 Feb 28. pii: S0163-8343(15)00038-9. doi: 10.1016/j.genhosppsych.2015.02.008 [Epub ahead of print]. PubMed
Gao H, Aiello Bowles EJ, Carrell D, Buist DS. Using natural language processing to extract mammographic findings. J Biomed Inform. 2015 Feb 3. pii: S1532-0464(15)00012-X. doi: 10.1016/j.jbi.2015.01.010. [Epub ahead of print]. PubMed
Wieneke AE, Bowles EJ, Cronkite D, Wernli KJ, Gao H, Carrell D, Buist DS. Validation of natural language processing to extract breast cancer pathology procedures and results. J Pathol Inform. 2015 Jun 23;6:38. doi: 10.4103/2153-3539.159215. eCollection 2015. PubMed