First-line chemotherapy for most patients with metastatic bladder cancer includes a drug called cisplatin, but overall survival with this treatment varies. To better assess outcomes and survival, Mount Sinai researchers led by Matthew Galsky, MD, Assistant Professor, Hematology and Medical Oncology at Mount Sinai developed a predictive model for metastatic bladder cancer. They conducted a retrospective analysis of data from November, 1997, to October, 2010, of 361 patients who were enrolled in Phase II and III clinical trials, and found that functional status; metastases to the lung, liver, or bone; and elevated white blood cell counts were significantly associated with poor survival. Based on this finding, Dr. Galsky and his team developed a replicable formula to help clinicians predict patient outcomes, determine treatment course, and improve clinical trial design.
"We knew some of the variables that might contribute to survival in metastatic bladder cancer patients treated with cisplatin-based chemotherapy, but we wanted to validate those findings and develop a definitive predictive model for treatment outcomes," said Dr. Galsky. "The model we have constructed confirms these variables, provides clinicians with a measuring tool to calculate survival for each individual patient, and will help design better clinical trials in this patient population."
In 2001, two major studies were published showing that removing the kidney, called cytoreductive nephrectomy (CyNx), was an effective way to treat metastatic renal cell carcinoma (mRCC) in conjunction with immunotherapy. However, in 2005, a class of drugs called VEGFR tyrosine kinase inhibitors emerged as the first line treatment f
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