Literature DB >> 29950347

Quantitative Proteomic Analysis Identifies AHNAK (Neuroblast Differentiation-associated Protein AHNAK) as a Novel Candidate Biomarker for Bladder Urothelial Carcinoma Diagnosis by Liquid-based Cytology.

Hyebin Lee1, Kwangsoo Kim2, Jongmin Woo3, Joonho Park3, Hyeyoon Kim4,5, Kyung Eun Lee6, Hyeyeon Kim4, Youngsoo Kim3, Kyung Chul Moon5, Ji Young Kim5, In Ae Park5, Bo Bae Shim5, Ji Hye Moon5, Dohyun Han7,4, Han Suk Ryu8.   

Abstract

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. We performed mass spectrometry-based proteomic analysis of urine samples of ten patients with BLCA and ten paired patients with benign urothelial lesion (BUL) to identify ancillary proteomic markers for use in liquid-based cytology (LBC). A total of 4,839 proteins were identified and 112 proteins were confirmed as expressed at significantly different levels between the two groups. We also performed an independent proteomic profiling of tumor tissue samples where we identified 7,916 proteins of which 758 were differentially expressed. Cross-platform comparisons of these data with comparative mRNA expression profiles from The Cancer Genome Atlas identified four putative candidate proteins, AHNAK, EPPK1, MYH14 and OLFM4. To determine their immunocytochemical expression levels in LBC, we examined protein expression data from The Human Protein Atlas and in-house FFPE samples. We further investigated the expression of the four candidate proteins in urine cytology samples from two independent validation cohorts. These analyses revealed 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. To our knowledge, the present study provides the first identification of a clinical biomarker for LBC based on in-depth proteomics.
© 2018 Lee et al.

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Year:  2018        PMID: 29950347      PMCID: PMC6126387          DOI: 10.1074/mcp.RA118.000562

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  43 in total

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Journal:  Proteomics       Date:  2014-05-28       Impact factor: 3.984

Review 3.  The Paris System for Reporting Urinary Cytology: The Quest to Develop a Standardized Terminology.

Authors:  Güliz A Barkan; Eva M Wojcik; Ritu Nayar; Spasenija Savic-Prince; Marcus L Quek; Daniel F I Kurtycz; Dorothy L Rosenthal
Journal:  Acta Cytol       Date:  2016-06-18       Impact factor: 2.319

4.  Institutional variability in the accuracy of urinary cytology for predicting recurrence of transitional cell carcinoma of the bladder.

Authors:  Pierre I Karakiewicz; Serge Benayoun; Craig Zippe; Gerson Lüdecke; Hans Boman; Marta Sanchez-Carbayo; Roberto Casella; Christine Mian; Martin G Friedrich; Sanaa Eissa; Hideyuki Akaza; Hartwig Huland; Hans Hedelin; Raina Rupesh; Naoto Miyanaga; Arthur I Sagalowsky; Michael J Marberger; Shahrokh F Shariat
Journal:  BJU Int       Date:  2006-03-17       Impact factor: 5.588

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Authors:  Y Hieda; S Tsukita; S Tsukita
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Authors:  Sally J Deeb; Stefka Tyanova; Michael Hummel; Marc Schmidt-Supprian; Juergen Cox; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2015-08-26       Impact factor: 5.911

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Journal:  JAMA Oncol       Date:  2017-04-01       Impact factor: 31.777

9.  Ahnak functions as a tumor suppressor via modulation of TGFβ/Smad signaling pathway.

Authors:  I H Lee; M Sohn; H J Lim; S Yoon; H Oh; S Shin; J H Shin; S-H Oh; J Kim; D K Lee; D Y Noh; D S Bae; J K Seong; Y S Bae
Journal:  Oncogene       Date:  2014-03-24       Impact factor: 9.867

10.  AHNAK is downregulated in melanoma, predicts poor outcome, and may be required for the expression of functional cadherin-1.

Authors:  Hilary M Sheppard; Vaughan Feisst; Jennifer Chen; Cris Print; P Rod Dunbar
Journal:  Melanoma Res       Date:  2016-04       Impact factor: 3.599

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3.  In-Depth, Proteomic Analysis of Nasal Secretions from Patients With Chronic Rhinosinusitis and Nasal Polyps.

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4.  Moesin (MSN) as a Novel Proteome-Based Diagnostic Marker for Early Detection of Invasive Bladder Urothelial Carcinoma in Liquid-Based Cytology.

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5.  Construction of an Immune-Associated Gene-Based Signature in Muscle-Invasive Bladder Cancer.

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9.  Identification of TUBB2A by quantitative proteomic analysis as a novel biomarker for the prediction of distant metastatic breast cancer.

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10.  Identification and Validation of an Individualized Prognostic Signature of Bladder Cancer Based on Seven Immune Related Genes.

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