Literature DB >> 23021913

Retinoic acid-induced protein 3: identification and characterisation of a novel prognostic colon cancer biomarker.

Alexandre Zougman1, Gordon G Hutchins, David A Cairns, Eldo Verghese, Sarah L Perry, David G Jayne, Peter J Selby, Rosamonde E Banks.   

Abstract

AIM OF THE STUDY: Validated molecular biomarkers are urgently required in colon cancer (CC) to accurately define prognosis and, ideally, to predict response to therapeutic modalities such as adjuvant chemotherapy. We aimed to identify and characterise a novel membrane-associated protein in CC tissues which may offer diagnostic and, potentially, therapeutic targeting opportunities.
METHODS: Label-free mass spectrometric (MS) quantitation was employed to profile matched colon tissues for malignancy-associated proteins. The putative diagnostic utility of a chosen marker was evaluated using immunohistochemistry (IHC) on 367 CC tissue samples contained within the NCI Progression Colon Cancer tissue microarray (TMA) set.
RESULTS: Retinoic acid-induced protein 3 (RAI3) was initially identified as a plasma membrane protein overexpressed in CC. Cancer-associated RAI3 over-expression was confirmed by RAI3 IHC. Although RAI3 IHC expression patterns were variable within neoplastic epithelium, 76% (n=236) of interpretable CC cases (n=312) displayed diffuse cytoplasmic expression. Of note, a sub-set of CC tissues (n=23, 7.4%) displayed very strong cytoplasmic expression, a feature significantly associated with disease recurrence in Dukes' A-C (stage I-III) patients (hazard ratio (HR)=3.076, [95%confidence interval (CI)=1.738-5.445]; p<0.001) when compared to low or negative expression of RAI3. This association retained univariate significance in Dukes' B/stage II patients only (HR=3.494, [95%CI=1.197-10.20]; p<0.022). Significantly, the prognostic capacity of RAI3 was maintained in the stage I-III cohort following multivariate modelling (HR=2.11, [95%CI 1.109-4.017], p=0.023).
CONCLUSION: RAI3 is a putative prognostic marker that identifies a small subset of CC patients with high recurrence risk. This study demonstrates the potential value of modern proteomic technology in clinically relevant applications.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23021913     DOI: 10.1016/j.ejca.2012.07.031

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  19 in total

1.  Discovery of colorectal cancer biomarker candidates by membrane proteomic analysis and subsequent verification using selected reaction monitoring (SRM) and tissue microarray (TMA) analysis.

Authors:  Hideaki Kume; Satoshi Muraoka; Takahisa Kuga; Jun Adachi; Ryohei Narumi; Shio Watanabe; Masayoshi Kuwano; Yoshio Kodera; Kazuyuki Matsushita; Junya Fukuoka; Takeshi Masuda; Yasushi Ishihama; Hisahiro Matsubara; Fumio Nomura; Takeshi Tomonaga
Journal:  Mol Cell Proteomics       Date:  2014-03-31       Impact factor: 5.911

2.  RAI3 is overexpressed in gastric adenocarcinoma but unrelated to prognosis.

Authors:  Nathaniel Melling; Kai Bachmann; Maximillian Bockhorn; Oliver Mann; Jakob Robert Izbicki; Katharina Grupp
Journal:  Int J Clin Exp Pathol       Date:  2019-02-01

3.  GPRC5A overexpression predicted advanced biological behaviors and poor prognosis in patients with gastric cancer.

Authors:  Honggen Liu; Yunchao Zhang; Xuwen Hao; Fanming Kong; Xiaojiang Li; Jianchun Yu; Yingjie Jia
Journal:  Tumour Biol       Date:  2015-07-31

4.  Overexpression of retinoic acid-induced protein 3 predicts poor prognosis for hepatocellular carcinoma.

Authors:  J Zheng; X Guo; X Gao; H Liu; Y Tu; Y Zhang
Journal:  Clin Transl Oncol       Date:  2013-04-30       Impact factor: 3.405

Review 5.  Circulating microRNA biomarkers for glioma and predicting response to therapy.

Authors:  Charlotte A Tumilson; Robert W Lea; Jane E Alder; Lisa Shaw
Journal:  Mol Neurobiol       Date:  2014-04-03       Impact factor: 5.590

Review 6.  The emerging roles of GPRC5A in diseases.

Authors:  Honglei Zhou; Isidore Rigoutsos
Journal:  Oncoscience       Date:  2014-11-25

Review 7.  Future directions for the early detection of colorectal cancer recurrence.

Authors:  Avery S Walker; Eric K Johnson; Justin A Maykel; Alex Stojadinovic; Aviram Nissan; Bjorn Brucher; Bradley J Champagne; Scott R Steele
Journal:  J Cancer       Date:  2014-03-16       Impact factor: 4.207

8.  The G Protein-Coupled Receptor RAI3 Is an Independent Prognostic Factor for Pancreatic Cancer Survival and Regulates Proliferation via STAT3 Phosphorylation.

Authors:  Elisabeth Jahny; Hai Yang; Bin Liu; Beatrix Jahnke; Franziska Lademann; Thomas Knösel; Petra Rümmele; Robert Grützmann; Daniela E Aust; Christian Pilarsky; Axel Denz
Journal:  PLoS One       Date:  2017-01-23       Impact factor: 3.240

Review 9.  Beyond Colonoscopy: Exploring New Cell Surface Biomarkers for Detection of Early, Heterogenous Colorectal Lesions.

Authors:  Saleh Ramezani; Arianna Parkhideh; Pratip K Bhattacharya; Mary C Farach-Carson; Daniel A Harrington
Journal:  Front Oncol       Date:  2021-07-05       Impact factor: 6.244

10.  Quantitative analysis of gene expression in fixed colorectal carcinoma samples as a method for biomarker validation.

Authors:  Beata Ostasiewicz; Paweł Ostasiewicz; Kamila Duś-Szachniewicz; Katarzyna Ostasiewicz; Piotr Ziółkowski
Journal:  Mol Med Rep       Date:  2016-04-27       Impact factor: 2.952

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