Expression of ribosomal proteins in normal and cancerous human prostate tissue

Few quantifiable tissue biomarkers for the diagnosis and prognosis of prostate cancer exist. Using an unbiased, quantitative approach, this study evaluates the potential of three proteins of the 40S ribosomal protein complex as putative biomarkers of malignancy in prostate cancer. Prostate tissue ar...

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Published in:PloS one 2017-10, Vol.12 (10), p.e0186047-e0186047
Main Authors: Arthurs, Callum, Murtaza, Bibi Nazia, Thomson, Calum, Dickens, Kerry, Henrique, Rui, Patel, Hitendra R H, Beltran, Mariana, Millar, Michael, Thrasivoulou, Christopher, Ahmed, Aamir
Format: Article
Language:English
Subjects:
Aged
Anemia
Antibodies
Biology and Life Sciences
Biomarkers
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Biopsy
Cancer
Cores
Development and progression
Fluorescent Antibody Technique
Gene Expression Regulation, Neoplastic
Genes
Genetic aspects
Hospitals
Humans
Image Interpretation, Computer-Assisted
Immunofluorescence
Localization
Male
Malignancy
Mathematical analysis
Medical diagnosis
Medical research
Medicine
Medicine and Health Sciences
Middle Aged
Neoplasm Staging
Pathology
Patients
Permutations
Physiological aspects
Prostate - metabolism
Prostate - pathology
Prostate cancer
Prostatic Neoplasms - diagnosis
Prostatic Neoplasms - genetics
Prostatic Neoplasms - metabolism
Prostatic Neoplasms - pathology
Protein expression
Proteins
Research and Analysis Methods
Retrospective Studies
Ribosomal DNA
Ribosomal proteins
Ribosomal Proteins - genetics
Ribosomal Proteins - metabolism
Ribosomes - genetics
Ribosomes - metabolism
Ribosomes - pathology
ROC Curve
Stem cells
Surgery
Tissue Array Analysis
Tissues
Urology
Womens health
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container_issue 10
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creator Arthurs, Callum
Murtaza, Bibi Nazia
Thomson, Calum
Dickens, Kerry
Henrique, Rui
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Beltran, Mariana
Millar, Michael
Thrasivoulou, Christopher
Ahmed, Aamir
description Few quantifiable tissue biomarkers for the diagnosis and prognosis of prostate cancer exist. Using an unbiased, quantitative approach, this study evaluates the potential of three proteins of the 40S ribosomal protein complex as putative biomarkers of malignancy in prostate cancer. Prostate tissue arrays, constructed from 82 patient samples (245 tissue cores, stage pT3a or pT3b), were stained for antibodies against three ribosomal proteins, RPS19, RPS21 and RPS24. Semi-automated Ox-DAB signal quantification using ImageJ software revealed a significant change in expression of RPS19, RPS21 and RPS24 in malignant vs non-malignant tissue (p
doi_str_mv 10.1371/journal.pone.0186047
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Using an unbiased, quantitative approach, this study evaluates the potential of three proteins of the 40S ribosomal protein complex as putative biomarkers of malignancy in prostate cancer. Prostate tissue arrays, constructed from 82 patient samples (245 tissue cores, stage pT3a or pT3b), were stained for antibodies against three ribosomal proteins, RPS19, RPS21 and RPS24. Semi-automated Ox-DAB signal quantification using ImageJ software revealed a significant change in expression of RPS19, RPS21 and RPS24 in malignant vs non-malignant tissue (p&lt;0.0001). Receiver operating characteristics curves were calculated to evaluate the potential of each protein as a biomarker of malignancy in prostate cancer. Positive likelihood ratios for RPS19, RPS21 and RPS24 were calculated as 2.99, 4.21, and 2.56 respectively, indicating that the overexpression of the protein is correlated with the presence of disease. 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Using an unbiased, quantitative approach, this study evaluates the potential of three proteins of the 40S ribosomal protein complex as putative biomarkers of malignancy in prostate cancer. Prostate tissue arrays, constructed from 82 patient samples (245 tissue cores, stage pT3a or pT3b), were stained for antibodies against three ribosomal proteins, RPS19, RPS21 and RPS24. Semi-automated Ox-DAB signal quantification using ImageJ software revealed a significant change in expression of RPS19, RPS21 and RPS24 in malignant vs non-malignant tissue (p&lt;0.0001). Receiver operating characteristics curves were calculated to evaluate the potential of each protein as a biomarker of malignancy in prostate cancer. Positive likelihood ratios for RPS19, RPS21 and RPS24 were calculated as 2.99, 4.21, and 2.56 respectively, indicating that the overexpression of the protein is correlated with the presence of disease. 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language eng
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source PubMed Central (Open Access); Publicly Available Content Database (Proquest) (PQ_SDU_P3)
subjects Aged
Anemia
Antibodies
Biology and Life Sciences
Biomarkers
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Biopsy
Cancer
Cores
Development and progression
Fluorescent Antibody Technique
Gene Expression Regulation, Neoplastic
Genes
Genetic aspects
Hospitals
Humans
Image Interpretation, Computer-Assisted
Immunofluorescence
Localization
Male
Malignancy
Mathematical analysis
Medical diagnosis
Medical research
Medicine
Medicine and Health Sciences
Middle Aged
Neoplasm Staging
Pathology
Patients
Permutations
Physiological aspects
Prostate - metabolism
Prostate - pathology
Prostate cancer
Prostatic Neoplasms - diagnosis
Prostatic Neoplasms - genetics
Prostatic Neoplasms - metabolism
Prostatic Neoplasms - pathology
Protein expression
Proteins
Research and Analysis Methods
Retrospective Studies
Ribosomal DNA
Ribosomal proteins
Ribosomal Proteins - genetics
Ribosomal Proteins - metabolism
Ribosomes - genetics
Ribosomes - metabolism
Ribosomes - pathology
ROC Curve
Stem cells
Surgery
Tissue Array Analysis
Tissues
Urology
Womens health
title Expression of ribosomal proteins in normal and cancerous human prostate tissue
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