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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2020
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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. |
format | Online Article Text |
id | pubmed-7707122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
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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