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The Utility of Nucleolar Organizer Regions Quantitation in Early Prediction of Lung Neoplastic Transformation

Background: Cancer burden can be reduced by early detection of early neoplastic changes applying suitable screening methods. This study aimed to assess the utility of nucleolar organizer regions (NORs) quantitation in early prediction of lung neoplastic transformation. Methodology: This study invest...

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Autores principales: Ahmed, Hussain G, El Hag, Amel B, Binsaleh, Naif K, Elhussein, Gamal Eldin Mohamed O, Hussain, Malik Asif, Bealy, Mohamed Ahmed Babikir I, Abboh, Emad Abboh A, Sherfi, Hisham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707122/
https://www.ncbi.nlm.nih.gov/pubmed/33269177
http://dx.doi.org/10.7759/cureus.11738
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author Ahmed, Hussain G
El Hag, Amel B
Binsaleh, Naif K
Elhussein, Gamal Eldin Mohamed O
Hussain, Malik Asif
Bealy, Mohamed Ahmed Babikir I
Abboh, Emad Abboh A
Sherfi, Hisham
author_facet Ahmed, Hussain G
El Hag, Amel B
Binsaleh, Naif K
Elhussein, Gamal Eldin Mohamed O
Hussain, Malik Asif
Bealy, Mohamed Ahmed Babikir I
Abboh, Emad Abboh A
Sherfi, Hisham
author_sort Ahmed, Hussain G
collection PubMed
description Background: Cancer burden can be reduced by early detection of early neoplastic changes applying suitable screening methods. This study aimed to assess the utility of nucleolar organizer regions (NORs) quantitation in early prediction of lung neoplastic transformation. Methodology: This study investigated 200 apparently healthy individuals categorized into two groups; smoking exposed individuals (N=100), and were categorized as cases, and smoking nonexposed (N=100), and were ascertained as controls. Sputum specimen was attained from each participant (paying all indispensable safety precautions and sample adequacy processes).  Results: Out of the 200 volunteers assessed in the present study, mean NORs counts of >2.00 were identified in 16/200(8%) of the study subjects. All 16/16(100%) cases were found with lung epithelial metaplasia (squamous metaplasia). Out of the 100 cases, mean NORs counts of >2.00 were identified in 16/100(16%), hence, all the controls were identified with mean NORs counts of <2.00. The risk of lung cellular proliferative changes associated with smoking exposure are odds ratio (OR) (95% confidence interval, CI) = 39.2485 (2.3199-664.0052), p = 0.0110, z statistic = 2.543. Conclusion: NORs count is a simple, specific, cost-effective, and reliable method that can give a quantitative measurement for the risk of lung neoplastic transformation. For at risk-population (tobacco users), it is recommended to perform the argyrophilic NORs (AgNORs) method beside sputum cytology.
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spelling pubmed-77071222020-12-01 The Utility of Nucleolar Organizer Regions Quantitation in Early Prediction of Lung Neoplastic Transformation Ahmed, Hussain G El Hag, Amel B Binsaleh, Naif K Elhussein, Gamal Eldin Mohamed O Hussain, Malik Asif Bealy, Mohamed Ahmed Babikir I Abboh, Emad Abboh A Sherfi, Hisham Cureus Pathology Background: Cancer burden can be reduced by early detection of early neoplastic changes applying suitable screening methods. This study aimed to assess the utility of nucleolar organizer regions (NORs) quantitation in early prediction of lung neoplastic transformation. Methodology: This study investigated 200 apparently healthy individuals categorized into two groups; smoking exposed individuals (N=100), and were categorized as cases, and smoking nonexposed (N=100), and were ascertained as controls. Sputum specimen was attained from each participant (paying all indispensable safety precautions and sample adequacy processes).  Results: Out of the 200 volunteers assessed in the present study, mean NORs counts of >2.00 were identified in 16/200(8%) of the study subjects. All 16/16(100%) cases were found with lung epithelial metaplasia (squamous metaplasia). Out of the 100 cases, mean NORs counts of >2.00 were identified in 16/100(16%), hence, all the controls were identified with mean NORs counts of <2.00. The risk of lung cellular proliferative changes associated with smoking exposure are odds ratio (OR) (95% confidence interval, CI) = 39.2485 (2.3199-664.0052), p = 0.0110, z statistic = 2.543. Conclusion: NORs count is a simple, specific, cost-effective, and reliable method that can give a quantitative measurement for the risk of lung neoplastic transformation. For at risk-population (tobacco users), it is recommended to perform the argyrophilic NORs (AgNORs) method beside sputum cytology. Cureus 2020-11-28 /pmc/articles/PMC7707122/ /pubmed/33269177 http://dx.doi.org/10.7759/cureus.11738 Text en Copyright © 2020, Ahmed et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Pathology
Ahmed, Hussain G
El Hag, Amel B
Binsaleh, Naif K
Elhussein, Gamal Eldin Mohamed O
Hussain, Malik Asif
Bealy, Mohamed Ahmed Babikir I
Abboh, Emad Abboh A
Sherfi, Hisham
The Utility of Nucleolar Organizer Regions Quantitation in Early Prediction of Lung Neoplastic Transformation
title The Utility of Nucleolar Organizer Regions Quantitation in Early Prediction of Lung Neoplastic Transformation
title_full The Utility of Nucleolar Organizer Regions Quantitation in Early Prediction of Lung Neoplastic Transformation
title_fullStr The Utility of Nucleolar Organizer Regions Quantitation in Early Prediction of Lung Neoplastic Transformation
title_full_unstemmed The Utility of Nucleolar Organizer Regions Quantitation in Early Prediction of Lung Neoplastic Transformation
title_short The Utility of Nucleolar Organizer Regions Quantitation in Early Prediction of Lung Neoplastic Transformation
title_sort utility of nucleolar organizer regions quantitation in early prediction of lung neoplastic transformation
topic Pathology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707122/
https://www.ncbi.nlm.nih.gov/pubmed/33269177
http://dx.doi.org/10.7759/cureus.11738
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