The following represents disclosure information provided by authors of this abstract. The ASCO Scientific Program Committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered self-held and compensated unless otherwise noted. Employment/Leadership relationships are considered compensated employment unless otherwise noted. L = Leadership, U = Uncompensated, I = Immediate Family Member, B = Both Myself and Immediate Family Member, Inst = My Institution
Defining a nine-biomarker panel for predicting bladder cancer outcome in combination with smoking intensity: A report from the Los Angeles Cancer Surveillance Program.
Anirban Pradip Mitra
No relevant relationships to disclose
Jose E Castelao
No relevant relationships to disclose
Debra Hawes
No relevant relationships to disclose
Denice D Tsao-Wei
No relevant relationships to disclose
Xuejuan Jiang
No relevant relationships to disclose
Shan Rong Shi
No relevant relationships to disclose
Lillian L Young
No relevant relationships to disclose
Ram H Datar
No relevant relationships to disclose
Eila C Skinner
No relevant relationships to disclose
John Peter Stein
No relevant relationships to disclose
Susan G. Groshen
No relevant relationships to disclose
Mimi C Yu
No relevant relationships to disclose
Ronald K Ross
No relevant relationships to disclose
Donald G Skinner
No relevant relationships to disclose
Victoria K Cortessis
No relevant relationships to disclose
Richard J Cote
No relevant relationships to disclose