Mary Caffrey is the Executive Editor for The American Journal of Managed Care® (AJMC®). She joined AJMC® in 2013 and is the primary staff editor for Evidence-Based Oncology, the multistakeholder publication that reaches 22,000+ oncology providers, policy makers and formulary decision makers. She is also part of the team that oversees speaker recruitment and panel preparations for AJMC®'s premier annual oncology meeting, Patient-Centered Oncology Care®. For more than a decade, Mary has covered ASCO, ASH, ACC and other leading scientific meetings for AJMC readers.
Mary has a BA in communications and philosophy from Loyola University New Orleans. You can connect with Mary on LinkedIn.
Finding the Right Biomarker Is Key to the TIGIT Puzzle, Experts Say
May 12th 2025Data for SKYSCRAPER-01, involving the anti-TIGIT antibody tiragolumab, seem to align with recent bad news for this once-promising therapeutic target. But investigators involved in TIGIT studies say the problem is finding the right biomarker.
AACR Results Seek Solutions to Precision Medicine Challenges
April 30th 2025Results presented on Tuesday at the American Association for Cancer Research annual meeting include data on the combined use of tissue and liquid biopsy, as well as a framework for evaluating multicancer early detection testing.
Orca-T Shows Efficacy, Reduced GVHD Risk in Acute Leukemia, MDS: Caspian Oliai, MD
April 2nd 2025Caspian Oliai, MD, MS, medical director of the UCLA Bone Marrow Transplantation Stem Cell Processing Center, discusses findings from the phase 3 Precision-T trial of Orca-T in acute leukemia and myelodysplastic syndrome (MDS).
Cancer Labels on Alcohol? Ireland, Where Pubs Still Rule, Will Have Them by Next Year
March 17th 2025As St. Patrick's Day brings global celebrations involving alcohol, Ireland looks forward to rethinking excess consumption with a new tool set to arrive next year: the world's most comprehensive alcohol warning label.
Use of AI Lets Health System Find Lung Cancer at Early Stages
March 8th 2025Artificial intelligence (AI) helps a Sarasota, Florida, health system catch lung nodules that appear on CT scans for patients treated for scores of conditions, allowing them to be referred for a possible lung cancer diagnosis.