Poster display - Cocktail Poster Display

234P - Quantitative proteomic analysis identifies AHNAK as a novel candidate biomarker for bladder urothelial carcinoma diagnosis

Presentation Number
234P
Lecture Time
06:00 PM - 06:00 PM
Session Name
Poster display - Cocktail
Speakers
  • Changlim Hyun
Location
Exhibition area, Singapore, Singapore, Singapore
Date
24.11.2018
Time
06:00 PM - 07:00 PM
Authors
  • Changlim Hyun
  • Min seung Park

Abstract

Background

Cytological examination of urine is the most widely used noninvasive pathologic screen for bladder urothelial carcinoma (BLCA); however, inadequate diagnostic accuracy remains a major challenge.

Methods

We performed high-throughput proteomic analysis of ten paired BLCA and benign urothelial lesion (BUL) samples to identify ancillary proteomic markers for use in liquid-based cytology (LBC). Samples were analyzed mass spectrometry to identify differentially expressed proteins (DEP) between the two groups. A total of 4,839 proteins were identified and 111 DEP were confirmed as expressed at significantly different levels between the BLCA and BUL groups. Independent proteomic data generated from tissue samples (7,916 identified proteins and 784 DEP), along with comparative mRNA expression profiles from The Cancer Genome Atlas were analyzed for biomarker discovery. Six proteins, AHNAK, EPPK1, HSP90AB1, MYH14, OLFM4, and TUBB, were thereby identified as putative candidate and analyzed by immunostaining. To determine their immunocytochemical expression levels in LBC, protein expression was screened using data from The Human Protein Atlas and five proteins were finally selected for immunoreactivity validation in two independent LBC cohorts.

Results

These analyses confirmed AHNAK as a unique intracellular protein differing in immunohistochemical expression and subcellular localization between tumor and non-tumor cells. In conclusion, this study identified a new biomarker, AHNAK, applicable to discrimination between BLCA and BUL by LBC.

Conclusions

To our knowledge, the present study provides the first identification of a clinical biomarker for LBC based on in-depth proteomics.

Legal entity responsible for the study

Chnglim Hyun.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

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