Cargando…

Molecular Noninvasive Diagnosis of Hepatocellular Carcinoma Using Microsatellite Instability

OBJECTIVE: Hepatocellular carcinoma (HCC) accounts for more than 80% of primary liver cancers. Moreover, in the next 10 years, more than one million patients are expected to die from liver cancer as estimated by the World Health Organization. The aim of the present study is to define the microsatell...

Descripción completa

Detalles Bibliográficos
Autores principales: Mamdouh, Samah, Aboushousha, Tarek, Abdelraouf, Amr, Hamdy, Hussam, Seleem, Mohamed, Hassan, Hanem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858233/
https://www.ncbi.nlm.nih.gov/pubmed/34711011
http://dx.doi.org/10.31557/APJCP.2021.22.10.3337
_version_ 1784654206203854848
author Mamdouh, Samah
Aboushousha, Tarek
Abdelraouf, Amr
Hamdy, Hussam
Seleem, Mohamed
Hassan, Hanem
author_facet Mamdouh, Samah
Aboushousha, Tarek
Abdelraouf, Amr
Hamdy, Hussam
Seleem, Mohamed
Hassan, Hanem
author_sort Mamdouh, Samah
collection PubMed
description OBJECTIVE: Hepatocellular carcinoma (HCC) accounts for more than 80% of primary liver cancers. Moreover, in the next 10 years, more than one million patients are expected to die from liver cancer as estimated by the World Health Organization. The aim of the present study is to define the microsatellite phenotype in the blood, tumor and nontumor tissue samples from hepatocellular carcinoma cases to develop a simple non-invasive method for diagnosis and detection of the disease. METHODS: A total of 100 patients with histologically-proven HCC were enrolled in this study, blood samples and tissue specimens from tumor and nontumor tissue were obtained from each patient. DNA was extracted and microsatellite instability MSI status was determined by polymerase chain reaction (PCR) using 5 mononucleotide and 5 dinucleotide repeats. RESULTS: Among the 100 HCC tumors analyzed, (8%) considered as displaying a typical MSI-H phenotype as defined by instability in at least 3 of the 10 repeats analyzed, (61%) tumors displayed MSI-L and (31%) displayed MSS while in plasma the instability was (40%) for MSI-H, (44%) for MSI-L and (16%) for MSS. CONCLUSION: our findings could point to the achievement that HCC patients could be diagnosed by MSI analysis using blood sample as non-invasive way and this conclusion achieved our aim as the study shows impressive and promising results.
format Online
Article
Text
id pubmed-8858233
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher West Asia Organization for Cancer Prevention
record_format MEDLINE/PubMed
spelling pubmed-88582332022-04-04 Molecular Noninvasive Diagnosis of Hepatocellular Carcinoma Using Microsatellite Instability Mamdouh, Samah Aboushousha, Tarek Abdelraouf, Amr Hamdy, Hussam Seleem, Mohamed Hassan, Hanem Asian Pac J Cancer Prev Research Article OBJECTIVE: Hepatocellular carcinoma (HCC) accounts for more than 80% of primary liver cancers. Moreover, in the next 10 years, more than one million patients are expected to die from liver cancer as estimated by the World Health Organization. The aim of the present study is to define the microsatellite phenotype in the blood, tumor and nontumor tissue samples from hepatocellular carcinoma cases to develop a simple non-invasive method for diagnosis and detection of the disease. METHODS: A total of 100 patients with histologically-proven HCC were enrolled in this study, blood samples and tissue specimens from tumor and nontumor tissue were obtained from each patient. DNA was extracted and microsatellite instability MSI status was determined by polymerase chain reaction (PCR) using 5 mononucleotide and 5 dinucleotide repeats. RESULTS: Among the 100 HCC tumors analyzed, (8%) considered as displaying a typical MSI-H phenotype as defined by instability in at least 3 of the 10 repeats analyzed, (61%) tumors displayed MSI-L and (31%) displayed MSS while in plasma the instability was (40%) for MSI-H, (44%) for MSI-L and (16%) for MSS. CONCLUSION: our findings could point to the achievement that HCC patients could be diagnosed by MSI analysis using blood sample as non-invasive way and this conclusion achieved our aim as the study shows impressive and promising results. West Asia Organization for Cancer Prevention 2021-10 /pmc/articles/PMC8858233/ /pubmed/34711011 http://dx.doi.org/10.31557/APJCP.2021.22.10.3337 Text en https://creativecommons.org/licenses/by/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mamdouh, Samah
Aboushousha, Tarek
Abdelraouf, Amr
Hamdy, Hussam
Seleem, Mohamed
Hassan, Hanem
Molecular Noninvasive Diagnosis of Hepatocellular Carcinoma Using Microsatellite Instability
title Molecular Noninvasive Diagnosis of Hepatocellular Carcinoma Using Microsatellite Instability
title_full Molecular Noninvasive Diagnosis of Hepatocellular Carcinoma Using Microsatellite Instability
title_fullStr Molecular Noninvasive Diagnosis of Hepatocellular Carcinoma Using Microsatellite Instability
title_full_unstemmed Molecular Noninvasive Diagnosis of Hepatocellular Carcinoma Using Microsatellite Instability
title_short Molecular Noninvasive Diagnosis of Hepatocellular Carcinoma Using Microsatellite Instability
title_sort molecular noninvasive diagnosis of hepatocellular carcinoma using microsatellite instability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858233/
https://www.ncbi.nlm.nih.gov/pubmed/34711011
http://dx.doi.org/10.31557/APJCP.2021.22.10.3337
work_keys_str_mv AT mamdouhsamah molecularnoninvasivediagnosisofhepatocellularcarcinomausingmicrosatelliteinstability
AT aboushoushatarek molecularnoninvasivediagnosisofhepatocellularcarcinomausingmicrosatelliteinstability
AT abdelraoufamr molecularnoninvasivediagnosisofhepatocellularcarcinomausingmicrosatelliteinstability
AT hamdyhussam molecularnoninvasivediagnosisofhepatocellularcarcinomausingmicrosatelliteinstability
AT seleemmohamed molecularnoninvasivediagnosisofhepatocellularcarcinomausingmicrosatelliteinstability
AT hassanhanem molecularnoninvasivediagnosisofhepatocellularcarcinomausingmicrosatelliteinstability