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News Archive

Date: 12/01/2016
Max S. Wicha, M.D., will receive the ninth annual Distinguished Lectureship in Breast Cancer Research from the American Association for Cancer Research. Wicha will present a special lecture as part of the 2016 San Antonio Breast Cancer Symposium.
Date: 11/30/2016
When faced with potentially life-threatening diseases such as cancer, people often seek information about the disease and support from peers.
Date: 11/02/2016
Researchers have identified a protein that helps ovarian cancer cells multiply and spread. By blocking it with a new antibody agent, they could slow the cancer’s growth and stop it from metastasizing.
Date: 10/24/2016
One of the earliest widespread applications of precision medicine in cancer care is helping patients and physicians decide whether chemotherapy is needed, a new study finds.
Date: 10/18/2016
A transcription factor known as Snail1 can act as a “molecular bypass” that diminishes the natural tumor suppressing action of a gene called p53 in breast cancer patients, a new study finds.
Date: 10/17/2016
As part of the Cancer Moonshot, representatives from government, academic, pharmaceutical and diagnostic companies are launching a new partnership in pursuit of creating an open database for liquid biopsies to potentially accelerate the development of safe and effective blood profiling diagnostic technologies for patient benefit.
Date: 10/14/2016
Julie C. Brabbs, MBA, was named Cancer Center chief administrative officer. She will also serve as associate director for administration for the center’s National Cancer Institute Cancer Center Support Grant.
Date: 10/04/2016
The University of Michigan Comprehensive Cancer Center is one of 12 sites to join Precision Promise, the first large-scale precision medicine trial designed to transform outcomes for patients with pancreatic cancer.
Date: 09/27/2016
The University of Michigan Comprehensive Cancer Center has appointed four new leaders to oversee the direction and operation of its research enterprise.
Date: 09/23/2016
The technique could one day help screen potential cancer treatments based on an individual patient's tumor and help researchers better understand cancer stem cells.

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