NCI Cohort Consortium Events
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Annual Meetings
View information about past meetings:
NCI Cohort Consortium Webinar Series
Overview:
The purpose of this new webinar series is to share best practices for cancer epidemiology cohorts, identify challenges and share possible solutions, foster career development, and provide an opportunity to test out new ideas in a supportive environment. The idea for a webinar series, which emanated from the consortium’s two-year strategic planning process, was one of several strategies to help advance the mission of the consortium. Learn more about the NCI Cohort Consortium Strategic Initiatives.
Any interested individual is invited to participate; however, pre-registration is required. Each presentation will be about 30-40 minutes in length and allow for 30 minutes of discussion. Instructions for connecting to the webinars will be sent via e-mail to individuals who register.
Suggestions for webinar topic ideas can be submitted using the webinar proposal form, which will be reviewed by the Steering Committee.
Upcoming Topics and Speakers
There are currently no upcoming webinars scheduled.
Note: Additional speakers and topics may be added in the future.
Past Webinar Topics and Speakers
The Value of Tumor Immune Analyses in Population Studies
1:00 p.m. to 2:00 p.m. ET
Shuji Ogino, M.D., Ph.D., M.S.
Chief of Molecular Pathological Epidemiology (MPE) Program, Department of Pathology, Brigham & Women's Hospital
Professor, Harvard Medical School (Pathology) and Harvard T.H. Chan School of Public Health (Epidemiology)
Moderators:
Melissa Merritt, Ph.D.
Associate Member, Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaiʻi Cancer Center
Assistant Professor (Assistant Researcher), University of Hawaiʻi Cancer Center, University of Hawaiʻi at Mānoa
Stephanie Schmit, Ph.D., M.P.H.
Associate Staff, Genomic Medicine Institute, Cleveland Clinic
Member, Cancer Prevention Control & Population Research Program, Case Comprehensive Cancer Center
Tumor pathologic features are routinely examined in every cancer case and inform clinical decision making. Across many cancer types, there is a growing interest in immune cells within the tumor microenvironment, which are often strongly associated with patient survival. This webinar will discuss various strategies of immune analyses (including use of routine pathology slides) in population studies. Participants will learn how to incorporate and utilize tumor characteristics data, especially immune cell infiltrates, in population studies. Studies of the associations between exposures and tumor pathology subtypes may provide insight into the etiology of cancer and mechanisms of cancer development.
Push Button Data Sharing: Web-Based Self-Service and Automated Data Delivery in the California Teachers Study
1:00 p.m. to 2:00 p.m. ET
James V. Lacey, Jr., Ph.D., M.P.H.
Professor and Director, Division of Health Analytics, Department of Computational and Quantitative Medicine
City of Hope
Emma Spielfogel, B.A.
Data Analyst, California Teachers Study (CTS)
City of Hope
Moderators:
Samuel Antwi, Ph.D.
Associate Professor of Epidemiology, College of Medicine and Science
Associate Consultant, Department of Health Sciences Research
Mayo Clinic
Michael Jones, Ph.D., Ms.C.
Senior Staff Scientist, Division of Genetics and Epidemiology
Institute of Cancer Research, London
The California Teachers Study (CTS), a cancer risk cohort study, has developed tools to automate data sharing. This webinar provided a demonstration of those tools as well as an overview of the data and technology that those tools use. The promotion of data sharing is a goal area of the Cohort Consortium. Cohort investigators and research teams will gain a better understanding of how they can request and use CTS data in their individual or Consortium projects and take steps to share their data in similar ways.
Supporting Early Career Investigators in Cancer: Building Professional Resilience and Supportive Networks in Uncertain Times
1:00 p.m. to 2:00 p.m. ET
Moderators:
Katie O’Brien, Ph.D., M.S.P.H.
Staff Scientist, Chronic Disease Epidemiology Group
National Institute of Environmental Health Sciences
Erika Rees-Punia, Ph.D., M.P.H.
Principal Scientist, Epidemiology and Behavioral Research
American Cancer Society
Speakers:
Kimberly Bertrand, Sc.D., M.P.H.
Assistant Professor of Medicine, Slone Epidemiology Center
Boston University
Julianne Lunde, M.A.
Program Manager, Lymphoma Epidemiology Laboratory
Mayo Clinic
Lauren McCullough, Ph.D., M.S.P.H.
Assistant Professor of Epidemiology, Rollins School of Public Health
Member, Winship Cancer Institute
Emory University
Rosalie Waller, Ph.D.
Research Associate, Biomedical Statistics and Informatics, Health Sciences Research
Mayo Clinic
The NCI Cohort Consortium Associate Member Council (AMC) is the representative body of early career investigators within the NCI Cohort Consortium. It serves to engage and support early career investigators through professional development, career networking opportunities, and research collaborations within the NCI Cohort Consortium and to position members of the next generation of investigators to attain leadership roles within the Consortium. This webinar included a panel discussion in which speakers addressed skills for navigating work and productivity during the pandemic. Strategies included goal setting, saying “no” and protecting your time (and sanity), networking and leading teams remotely, and starting a new position during the pandemic.
COronavirus Pandemic Epidemiology (COPE) Consortium: An Update
1:00 p.m. to 2:00 p.m. ET
Andrew T. Chan, M.D., M.P.H.
Professor, Medicine, Harvard Medical School
Vice chair, Gastroenterology, Massachusetts General Hospital
Chief, Clinical and Translational Epidemiology Unit, Massachusetts General Hospital
In March 2020, Dr. Andrew T. Chan organized the COronavirus Pandemic Epidemiology (COPE) consortium, which includes over 20 cohorts that have deployed a mobile app to collect real-time data about COVID-19 across three countries. In this webinar, Dr. Chan provided an update on the progress of COPE, lessons learned so far, and implementation in cancer cohorts.