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Follicular lymphoma: A tale of 2 cancers

Researchers uncover disparate evolutionary trajectories and mutational profiles driving follicular lymphoma's transformation and early progression. The study highlights key genes and biological processes associated with these events, offering a basis for future research on prognostic assays and treatment strategies.

SourcePLOS·JournalPLOS Medicine·DateDec 13, 2016

No safe level of smoking

A study of over 290,000 adults found that even low-intensity smokers had a significantly higher risk of earlier death than never smokers. The risk was particularly strong for lung cancer mortality, with low-intensity smokers experiencing nearly 9 times the risk of dying from lung cancer.

SourceNIH/National Cancer Institute·JournalJAMA Internal Medicine·DateDec 5, 2016

Simple steps lengthen lives of high-risk AML patients

High-risk acute myeloid leukemia (AML) patients can live longer with quicker identification and transplantation. Researchers found that rapidly identifying genetic mutations and matching donors increased two-year survival rates from 22% to 45%. The streamlined approach could establish a new standard of care for these patients.

SourceSWOG·DateDec 5, 2016

Outreach to cirrhosis patients doubles early screening rates for deadly liver cancer

A new study from UT Southwestern Medical Center found that proactive outreach to cirrhosis patients doubled their screening rates for liver cancer. The study successfully improved early detection and survival rates among those at highest risk of adverse outcomes. Only one-fourth of cirrhosis patients are currently screened every six mo...

SourceUT Southwestern Medical Center·JournalGASTROENTEROLOGY·DateNov 18, 2016

A possible explanation for recurring breast cancer

Researchers at Texas A&M University found that breast cancer cells may evade treatment by consuming stem cells from bone marrow, making them difficult to kill. This mechanism could explain cancer recurrence and lead to new treatments, such as delivering toxic agents directly to cancer cells using stem cells as a delivery vehicle.

SourceTexas A&M University·JournalProceedings of the National Academy of Sciences·DateNov 15, 2016

Moffitt researchers predict melanoma responses through mathematical modeling

Researchers at Moffitt Cancer Center have developed a novel approach using mathematical modeling to accurately predict patient responses to cancer drugs in virtual clinical trials. This approach enables the identification of optimal treatment schedules that improve outcomes and reduce toxicities for melanoma patients.

SourceH. Lee Moffitt Cancer Center & Research Institute·JournalEuropean Journal of Cancer·DateNov 10, 2016