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Candidate Molecular Biomarkers for the Non- Invasive Detection of Colorectal Cancer using Gene Expression Profiling
BACKGROUND & OBJECTIVE: olorectal Cancer (CRC) is the third most common cancer after prostate (breast in women) and lung cancer; it is also the third cause of cancer deaths reported in both men and women in 2020. Currently, the most commonly used diagnostic tools for CRC are colonoscopy, serolog...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iranian Society of Pathology
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085285/ https://www.ncbi.nlm.nih.gov/pubmed/33936232 http://dx.doi.org/10.30699/IJP.2021.132385.2475 |
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author | Shafiei, Mohammad Alemrajabi, Mahdi Najafi, Ali Keihan, Amir Homayoun Sohrabi, Masoud Reza |
author_facet | Shafiei, Mohammad Alemrajabi, Mahdi Najafi, Ali Keihan, Amir Homayoun Sohrabi, Masoud Reza |
author_sort | Shafiei, Mohammad |
collection | PubMed |
description | BACKGROUND & OBJECTIVE: olorectal Cancer (CRC) is the third most common cancer after prostate (breast in women) and lung cancer; it is also the third cause of cancer deaths reported in both men and women in 2020. Currently, the most commonly used diagnostic tools for CRC are colonoscopy, serological methods, and other imaging techniques. Despite the benefits and abilities of these methods, each of them has disadvantages that reduce its functionality and acceptance. The aim of this study was identifying specific and non-invasive genetic biomarkers to diagnose colorectal cancer. METHODS: In this study, changes in the expression of HLTF and SEPT9 genes were evaluated by Real Time PCR in blood and tissue samples of CRC patients. A total of 100 samples (50 Blood and 50 Tissue samples) were evaluated with a definite diagnosis of CRC in Firoozgar Hspital, Tehran, Iran, in 2018. The QPCR method was used to compare the expression of candidate genes between the patients group and control group in both samples. Sensitivity and specificity of the test were examined using ROC curve analysis. RESULTS: The results showed a significant down-regulation in the expression of both selected genes in tissue and peripheral blood in the various stages of the CRC. The sensitivity and specifity of both genes was about 80%. CONCLUSION: The findings showed that the two candidate genes can be suggested as specific biomarkers for diagnosis of CRC using the peripheral blood as a non-invasive method. For a definite conclusion, more research is needed. |
format | Online Article Text |
id | pubmed-8085285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Iranian Society of Pathology |
record_format | MEDLINE/PubMed |
spelling | pubmed-80852852021-04-30 Candidate Molecular Biomarkers for the Non- Invasive Detection of Colorectal Cancer using Gene Expression Profiling Shafiei, Mohammad Alemrajabi, Mahdi Najafi, Ali Keihan, Amir Homayoun Sohrabi, Masoud Reza Iran J Pathol Original Article BACKGROUND & OBJECTIVE: olorectal Cancer (CRC) is the third most common cancer after prostate (breast in women) and lung cancer; it is also the third cause of cancer deaths reported in both men and women in 2020. Currently, the most commonly used diagnostic tools for CRC are colonoscopy, serological methods, and other imaging techniques. Despite the benefits and abilities of these methods, each of them has disadvantages that reduce its functionality and acceptance. The aim of this study was identifying specific and non-invasive genetic biomarkers to diagnose colorectal cancer. METHODS: In this study, changes in the expression of HLTF and SEPT9 genes were evaluated by Real Time PCR in blood and tissue samples of CRC patients. A total of 100 samples (50 Blood and 50 Tissue samples) were evaluated with a definite diagnosis of CRC in Firoozgar Hspital, Tehran, Iran, in 2018. The QPCR method was used to compare the expression of candidate genes between the patients group and control group in both samples. Sensitivity and specificity of the test were examined using ROC curve analysis. RESULTS: The results showed a significant down-regulation in the expression of both selected genes in tissue and peripheral blood in the various stages of the CRC. The sensitivity and specifity of both genes was about 80%. CONCLUSION: The findings showed that the two candidate genes can be suggested as specific biomarkers for diagnosis of CRC using the peripheral blood as a non-invasive method. For a definite conclusion, more research is needed. Iranian Society of Pathology 2021 2021-03-02 /pmc/articles/PMC8085285/ /pubmed/33936232 http://dx.doi.org/10.30699/IJP.2021.132385.2475 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution- 4.0 International License, (https://creativecommons.org/licenses/by/4.0/) which permits Share, copy and redistribution of the material in any medium or format or adapt, remix, transform, and build upon the material for any purpose, even commercially |
spellingShingle | Original Article Shafiei, Mohammad Alemrajabi, Mahdi Najafi, Ali Keihan, Amir Homayoun Sohrabi, Masoud Reza Candidate Molecular Biomarkers for the Non- Invasive Detection of Colorectal Cancer using Gene Expression Profiling |
title | Candidate Molecular Biomarkers for the Non- Invasive Detection of Colorectal Cancer using Gene Expression Profiling |
title_full | Candidate Molecular Biomarkers for the Non- Invasive Detection of Colorectal Cancer using Gene Expression Profiling |
title_fullStr | Candidate Molecular Biomarkers for the Non- Invasive Detection of Colorectal Cancer using Gene Expression Profiling |
title_full_unstemmed | Candidate Molecular Biomarkers for the Non- Invasive Detection of Colorectal Cancer using Gene Expression Profiling |
title_short | Candidate Molecular Biomarkers for the Non- Invasive Detection of Colorectal Cancer using Gene Expression Profiling |
title_sort | candidate molecular biomarkers for the non- invasive detection of colorectal cancer using gene expression profiling |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085285/ https://www.ncbi.nlm.nih.gov/pubmed/33936232 http://dx.doi.org/10.30699/IJP.2021.132385.2475 |
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