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Moffitt Cancer Center is one of 41 NCI-designated comprehensive cancer centers in the country and the only one based in Florida. The designation is bestowed upon institutions that have significant peer-reviewed research funding; high-quality programs in basic, translational and population research; are dedicated to developing more effective approaches to cancer prevention, diagnosis and therapy; educate health care professionals and the public; and reach out to underserved populations.

Moffitt's impact on cancer research spans basic science, prevention and clinical research with a focus on translating discoveries into better care.

Research Disciplines | Clinical Trials | Research Cores & Technology | Find a Researcher | Conflict of Interest

Moffitt Research News

Moffitt Cancer Center Researchers Analyze How Spanish Smoking Relapse Booklets Are Distributed

TAMPA, Fla. (May 16, 2013) – Researchers from Moffitt Cancer Center and the University of South Florida have evaluated how Florida health care and social service agencies distribute “Libres para Siempre” (“Forever Free®”), a Spanish smoking relapse prevention booklet series. Learn more...

Cancer Biorepository Speeds Clinical Trials, Drug Development, Moffitt Analysis Shows

TAMPA, Fla. (May 7, 2013) – Researchers at Moffitt Cancer Center say identifying and selecting participants for phase II cancer clinical trials from a centralized warehouse of patient-donated biological data expedites participant accrual, reduces trial size, saves money, and may speed test drugs through the drug development pipeline. Learn more...

Moffitt Cancer Center Researchers Find New, More Accurate Way of Imaging Lung Cancer Tumors

TAMPA, Fla. (May 1, 2013) – Moffitt Cancer Center and the University of South Florida have collaborated with researchers in China, the United Kingdom, the Netherlands and Germany to devise a new computational method for assessing lung cancer tumors using CT, PET or MRI diagnostic technologies. The method, called single click ensemble segmentation (SCES), uses a new computer algorithm developed by the researchers to help segment and extract features of a tumor. The new approach not only improves diagnosis and prognosis assessments, but also saves time and health care dollars. Learn more...