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Tissue-Based Proteomic Profiling in Patients with Hyperplasia and Endometrial Cancer
Uterine cancers are among the most prevalent gynecological malignancies, and endometrial cancer (EC) is the most common in this group. This study used tissue-based proteomic profiling analysis in patients with endometrial cancer and hyperplasia, and control patients. Conventional 2D gel electrophore...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265283/ https://www.ncbi.nlm.nih.gov/pubmed/35805203 http://dx.doi.org/10.3390/cells11132119 |
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author | Akkour, Khalid Alanazi, Ibrahim O. Alfadda, Assim A. Alhalal, Hani Masood, Afshan Musambil, Mohthash Rahman, Anas M. Abdel Alwehaibi, Moudi A. Arafah, Maria Bassi, Ali Benabdelkamel, Hicham |
author_facet | Akkour, Khalid Alanazi, Ibrahim O. Alfadda, Assim A. Alhalal, Hani Masood, Afshan Musambil, Mohthash Rahman, Anas M. Abdel Alwehaibi, Moudi A. Arafah, Maria Bassi, Ali Benabdelkamel, Hicham |
author_sort | Akkour, Khalid |
collection | PubMed |
description | Uterine cancers are among the most prevalent gynecological malignancies, and endometrial cancer (EC) is the most common in this group. This study used tissue-based proteomic profiling analysis in patients with endometrial cancer and hyperplasia, and control patients. Conventional 2D gel electrophoresis, followed by a mass spectrometry approach with bioinformatics, including a network pathway analysis pipeline, was used to identify differentially expressed proteins and associated metabolic pathways between the study groups. Thirty-six patients (twelve with endometrial cancer, twelve with hyperplasia, and twelve controls) were enrolled in this study. The mean age of the participants was 46–75 years. Eighty-seven proteins were significantly differentially expressed between the study groups, of which fifty-three were significantly differentially regulated (twenty-eight upregulated and twenty-five downregulated) in the tissue samples of EC patients compared to the control (Ctrl). Furthermore, 26 proteins were significantly dysregulated (8 upregulated and 18 downregulated) in tissue samples of hyperplasia (HY) patients compared to Ctrl. Thirty-two proteins (nineteen upregulated and thirteen downregulated) including desmin, peptidyl prolyl cis-trans isomerase A, and zinc finger protein 844 were downregulated in the EC group compared to the HY group. Additionally, fructose bisphosphate aldolase A, alpha enolase, and keratin type 1 cytoskeletal 10 were upregulated in the EC group compared to those in the HY group. The proteins identified in this study were known to regulate cellular processes (36%), followed by biological regulation (16%). Ingenuity pathway analysis found that proteins that are differentially expressed between EC and HY are linked to AKT, ACTA2, and other signaling pathways. The panels of protein markers identified in this study could be used as potential biomarkers for distinguishing between EC and HY and early diagnosis and progression of EC from hyperplasia and normal patients. |
format | Online Article Text |
id | pubmed-9265283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92652832022-07-09 Tissue-Based Proteomic Profiling in Patients with Hyperplasia and Endometrial Cancer Akkour, Khalid Alanazi, Ibrahim O. Alfadda, Assim A. Alhalal, Hani Masood, Afshan Musambil, Mohthash Rahman, Anas M. Abdel Alwehaibi, Moudi A. Arafah, Maria Bassi, Ali Benabdelkamel, Hicham Cells Article Uterine cancers are among the most prevalent gynecological malignancies, and endometrial cancer (EC) is the most common in this group. This study used tissue-based proteomic profiling analysis in patients with endometrial cancer and hyperplasia, and control patients. Conventional 2D gel electrophoresis, followed by a mass spectrometry approach with bioinformatics, including a network pathway analysis pipeline, was used to identify differentially expressed proteins and associated metabolic pathways between the study groups. Thirty-six patients (twelve with endometrial cancer, twelve with hyperplasia, and twelve controls) were enrolled in this study. The mean age of the participants was 46–75 years. Eighty-seven proteins were significantly differentially expressed between the study groups, of which fifty-three were significantly differentially regulated (twenty-eight upregulated and twenty-five downregulated) in the tissue samples of EC patients compared to the control (Ctrl). Furthermore, 26 proteins were significantly dysregulated (8 upregulated and 18 downregulated) in tissue samples of hyperplasia (HY) patients compared to Ctrl. Thirty-two proteins (nineteen upregulated and thirteen downregulated) including desmin, peptidyl prolyl cis-trans isomerase A, and zinc finger protein 844 were downregulated in the EC group compared to the HY group. Additionally, fructose bisphosphate aldolase A, alpha enolase, and keratin type 1 cytoskeletal 10 were upregulated in the EC group compared to those in the HY group. The proteins identified in this study were known to regulate cellular processes (36%), followed by biological regulation (16%). Ingenuity pathway analysis found that proteins that are differentially expressed between EC and HY are linked to AKT, ACTA2, and other signaling pathways. The panels of protein markers identified in this study could be used as potential biomarkers for distinguishing between EC and HY and early diagnosis and progression of EC from hyperplasia and normal patients. MDPI 2022-07-05 /pmc/articles/PMC9265283/ /pubmed/35805203 http://dx.doi.org/10.3390/cells11132119 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Akkour, Khalid Alanazi, Ibrahim O. Alfadda, Assim A. Alhalal, Hani Masood, Afshan Musambil, Mohthash Rahman, Anas M. Abdel Alwehaibi, Moudi A. Arafah, Maria Bassi, Ali Benabdelkamel, Hicham Tissue-Based Proteomic Profiling in Patients with Hyperplasia and Endometrial Cancer |
title | Tissue-Based Proteomic Profiling in Patients with Hyperplasia and Endometrial Cancer |
title_full | Tissue-Based Proteomic Profiling in Patients with Hyperplasia and Endometrial Cancer |
title_fullStr | Tissue-Based Proteomic Profiling in Patients with Hyperplasia and Endometrial Cancer |
title_full_unstemmed | Tissue-Based Proteomic Profiling in Patients with Hyperplasia and Endometrial Cancer |
title_short | Tissue-Based Proteomic Profiling in Patients with Hyperplasia and Endometrial Cancer |
title_sort | tissue-based proteomic profiling in patients with hyperplasia and endometrial cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265283/ https://www.ncbi.nlm.nih.gov/pubmed/35805203 http://dx.doi.org/10.3390/cells11132119 |
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