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Prediction of Distant Metastases in Patients with Kidney Cancer Based on Gene Expression and Methylation Analysis
Clear cell renal cell carcinoma (ccRCC) is the most common and aggressive histological type of cancer in this location. Distant metastases are present in approximately 30% of patients at the time of first examination. Therefore, the ability to predict the occurrence of metastases in patients at earl...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340761/ https://www.ncbi.nlm.nih.gov/pubmed/37443682 http://dx.doi.org/10.3390/diagnostics13132289 |
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author | Apanovich, Natalya Matveev, Alexey Ivanova, Natalia Burdennyy, Alexey Apanovich, Pavel Pronina, Irina Filippova, Elena Kazubskaya, Tatiana Loginov, Vitaly Braga, Eleonora Alimov, Andrei |
author_facet | Apanovich, Natalya Matveev, Alexey Ivanova, Natalia Burdennyy, Alexey Apanovich, Pavel Pronina, Irina Filippova, Elena Kazubskaya, Tatiana Loginov, Vitaly Braga, Eleonora Alimov, Andrei |
author_sort | Apanovich, Natalya |
collection | PubMed |
description | Clear cell renal cell carcinoma (ccRCC) is the most common and aggressive histological type of cancer in this location. Distant metastases are present in approximately 30% of patients at the time of first examination. Therefore, the ability to predict the occurrence of metastases in patients at early stages of the disease is an urgent task aimed at personalized treatment. Samples of tumor and paired histologically normal kidney tissue from patients with metastatic and non-metastatic ccRCC were studied. Gene expression was analyzed using real-time PCR. The level of gene methylation was evaluated using bisulfite conversion followed by quantitative methylation-specific PCR. Two groups of genes were analyzed in this study. The first group includes genes whose expression is significantly reduced during metastasis: CA9, NDUFA4L2, EGLN3, and BHLHE41 (p < 0.001, ROC analysis). The second group includes microRNA genes: MIR125B-1, MIR137, MIR375, MIR193A, and MIR34B/C, whose increased methylation levels are associated with the development of distant metastases (p = 0.002 to <0.001, ROC analysis). Based on the data obtained, a combined panel of genes was formed to identify patients whose tumors have a high metastatic potential. The panel can estimate the probability of metastasis with an accuracy of up to 92%. |
format | Online Article Text |
id | pubmed-10340761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103407612023-07-14 Prediction of Distant Metastases in Patients with Kidney Cancer Based on Gene Expression and Methylation Analysis Apanovich, Natalya Matveev, Alexey Ivanova, Natalia Burdennyy, Alexey Apanovich, Pavel Pronina, Irina Filippova, Elena Kazubskaya, Tatiana Loginov, Vitaly Braga, Eleonora Alimov, Andrei Diagnostics (Basel) Article Clear cell renal cell carcinoma (ccRCC) is the most common and aggressive histological type of cancer in this location. Distant metastases are present in approximately 30% of patients at the time of first examination. Therefore, the ability to predict the occurrence of metastases in patients at early stages of the disease is an urgent task aimed at personalized treatment. Samples of tumor and paired histologically normal kidney tissue from patients with metastatic and non-metastatic ccRCC were studied. Gene expression was analyzed using real-time PCR. The level of gene methylation was evaluated using bisulfite conversion followed by quantitative methylation-specific PCR. Two groups of genes were analyzed in this study. The first group includes genes whose expression is significantly reduced during metastasis: CA9, NDUFA4L2, EGLN3, and BHLHE41 (p < 0.001, ROC analysis). The second group includes microRNA genes: MIR125B-1, MIR137, MIR375, MIR193A, and MIR34B/C, whose increased methylation levels are associated with the development of distant metastases (p = 0.002 to <0.001, ROC analysis). Based on the data obtained, a combined panel of genes was formed to identify patients whose tumors have a high metastatic potential. The panel can estimate the probability of metastasis with an accuracy of up to 92%. MDPI 2023-07-06 /pmc/articles/PMC10340761/ /pubmed/37443682 http://dx.doi.org/10.3390/diagnostics13132289 Text en © 2023 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 Apanovich, Natalya Matveev, Alexey Ivanova, Natalia Burdennyy, Alexey Apanovich, Pavel Pronina, Irina Filippova, Elena Kazubskaya, Tatiana Loginov, Vitaly Braga, Eleonora Alimov, Andrei Prediction of Distant Metastases in Patients with Kidney Cancer Based on Gene Expression and Methylation Analysis |
title | Prediction of Distant Metastases in Patients with Kidney Cancer Based on Gene Expression and Methylation Analysis |
title_full | Prediction of Distant Metastases in Patients with Kidney Cancer Based on Gene Expression and Methylation Analysis |
title_fullStr | Prediction of Distant Metastases in Patients with Kidney Cancer Based on Gene Expression and Methylation Analysis |
title_full_unstemmed | Prediction of Distant Metastases in Patients with Kidney Cancer Based on Gene Expression and Methylation Analysis |
title_short | Prediction of Distant Metastases in Patients with Kidney Cancer Based on Gene Expression and Methylation Analysis |
title_sort | prediction of distant metastases in patients with kidney cancer based on gene expression and methylation analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340761/ https://www.ncbi.nlm.nih.gov/pubmed/37443682 http://dx.doi.org/10.3390/diagnostics13132289 |
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