Validation and clinicopathologic associations of a urine-based bladder cancer biomarker signature

Ge Zhang, Evan Gomes-Giacoia, Yunfeng Dai, Adrienne Lawton, Makito Miyake, Hideki Furuya, Steve Goodison, Charles J. Rosser

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

BACKGROUND: To validate the expression of a urine-based bladder cancer associated diagnostic signature comprised of 10 targets; ANG, CA9, MMP9, MMP10, SERPINA1, APOE, SDC1, VEGFA, SERPINE1 and IL8 in bladder tumor tissues.

METHODS: Immunohistochemical analyses were performed on tumor specimens from 213 bladder cancer patients (transitional cell carcinoma only) and 74 controls. Staining patterns were digitally captured and quantitated (Aperio, Vista, CA), and expression was correlated with tumor stage, tumor grade and outcome measures.

RESULTS: We revealed a positive association of 9 of the 10 proteins (excluding VEGF) in bladder cancer. Relative to control cases, a reduction in SDC1 and overexpression of MMP9, MMP10, SERPINE1, IL8, APOE, SERPINA1, ANG were associated with high stage bladder cancer. Reduced VEGF and increased SERPINA1 were associated with high-grade bladder cancer. Disease-specific survival was significantly reduced in tumors with high expression of SERPINE1 and/or IL8.

VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/13000_2014_200.

CONCLUSIONS: These findings confirm that the proteins in a urine-based diagnostic signature are aberrantly expressed in bladder tumor tissues, and support the potential additional utility of selected biomarkers for the clinicopathological evaluation of excised tissue or biopsy material.

Original languageEnglish (US)
Article number200
Pages (from-to)200
Number of pages1
JournalDiagnostic pathology
Volume9
DOIs
StatePublished - 2014

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Histology

Fingerprint Dive into the research topics of 'Validation and clinicopathologic associations of a urine-based bladder cancer biomarker signature'. Together they form a unique fingerprint.

  • Cite this

    Zhang, G., Gomes-Giacoia, E., Dai, Y., Lawton, A., Miyake, M., Furuya, H., Goodison, S., & Rosser, C. J. (2014). Validation and clinicopathologic associations of a urine-based bladder cancer biomarker signature. Diagnostic pathology, 9, 200. [200]. https://doi.org/10.1186/s13000-014-0200-1