title: Rapid bladder cancer cell detection from clinical urine samples using an ultra-thin silicone membrane.
abstract: Early detection of initial onset, as well as recurrence, of cancer is paramount for improved patient prognosis and human health. Cancer screening is enhanced by rapid differentiation of cancerous from non-cancerous cells which employs the inherent differences in biophysical properties. Our preliminary testing demonstrates that cell-line derived bladder cancer cells deform our <30 nm silicone membrane within an hour and induce visually distinct wrinkle patterns while cell-line derived non-cancerous cells fail to induce these wrinkle patterns. Herein, we report a platform for the rapid detection of cancerous cells from human clinical urine samples. We performed a blinded study with cells extracted from the urine of human patients suspected to have bladder cancer alongside healthy controls. Wrinkle patterns were induced specifically by the five cancer patient samples within 12 hours and not by the healthy controls. These results were independently validated by the standard diagnostic techniques cystoscopy and cytology. Thus, our ultra-thin membrane approach for cancer diagnosis appears as accurate as standard diagnostic methods while vastly more rapid, less invasive, and requiring limited expertise.
authors.affiliation: School of Electrical, Computer and Energy Engineering, Arizona State University, USA. Junseok.Chae@asu.edu.
authors.forename: Jennie H
authors.initials: JH
authors.lastname: Appel
authors.affiliation: School of Electrical, Computer and Energy Engineering, Arizona State University, USA. Junseok.Chae@asu.edu.
authors.forename: Hao
authors.initials: H
authors.lastname: Ren
authors.affiliation: Department of Urology, Stanford University School of Medicine, Stanford, USA.
authors.forename: Mandy L Y
authors.initials: ML
authors.lastname: Sin
authors.affiliation: Department of Urology, Stanford University School of Medicine, Stanford, USA.
authors.forename: Joseph C
authors.initials: JC
authors.lastname: Liao
authors.affiliation: School of Electrical, Computer and Energy Engineering, Arizona State University, USA. Junseok.Chae@asu.edu.
authors.forename: Junseok
authors.initials: J
authors.lastname: Chae
mesh_terms: D045744:Cell Line, Tumor; D002469:Cell Separation / Q000379:methods*; D006801:Humans; D008567:Membranes, Artificial; D012828:Silicones / Q000737:chemistry*; D013997:Time Factors; D001749:Urinary Bladder Neoplasms / Q000473:pathology* / Q000652:urine
chemical_list: D008567:Membranes, Artificial; D012828:Silicones