Leading the Way
At UC San Francisco, we are driven by the idea that when the best research, the best teaching and the best patient care converge, we can deliver breakthroughs that help heal the world.
Breast Cancer
TID:
995
VID:
9
MeSH ID:
D001943
Mesh Name:
Breast Neoplasms
New Method Of Breast Reconstruction May Reduce Pain For Some Cancer Survivors
A UCSF surgeon is among a handful nationwide who are pioneering and studying the outcomes of a new approach to breast reconstruction.
‘Orphan’ RNAs Make Cancer Deadlier, But Potentially Easier to Diagnose
UCSF demonstrates that cancer is a clever engineer, capable of constructing entirely new disease-promoting networks out of raw materials readily available in the cell.
New Approach to Breast Reconstruction May Reduce Pain and Weakness for Some
Breast Cancer Surgery in Frail Elderly Women Linked to Poor Results
UCSF researchers found that 58 percent of women who resided in a nursing home for more than 90 days before breast cancer surgery experienced significant functional decline one year after surgery.
Many Breast Cancer Patients Don't Get Recommended Follow-Up, Study Finds
Breast Cancer Follow-Up Imaging Varies Widely, Study Finds
Follow-up imaging for women with non-metastatic breast cancer varies widely across the country, according to a new study led by researchers at UCSF.
Combination Therapy May Revive Prospects for ‘Embattled’ Breast Cancer Drugs
Researchers identified a protein that cancer cells use as a shield to protect the PI3K pathway against targeted drugs, and showed that blocking this protein allowed previously ineffective therapies to slow cancer cell growth and shrink tumors.
Computers Equal Radiologists in Assessing Breast Density and Associated Breast Cancer Risk
Automated breast-density evaluation was just as accurate in predicting women’s risk of breast cancer, found and not found by mammography, as subjective evaluation done by radiologists.
Gene Mapping Lays Groundwork for Precision Chemotherapy
New study could make it much easier for physicians to use the genetic profile of a patient’s tumor to pick the chemotherapy treatment with the fewest side effects and best chance of success.
