Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Apanovich, Natalya, Matveev, Alexey, Ivanova, Natalia, Burdennyy, Alexey, Apanovich, Pavel, Pronina, Irina, Filippova, Elena, Kazubskaya, Tatiana, Loginov, Vitaly, Braga, Eleonora, Alimov, Andrei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1785072156884860928
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
work_keys_str_mv AT apanovichnatalya predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis
AT matveevalexey predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis
AT ivanovanatalia predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis
AT burdennyyalexey predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis
AT apanovichpavel predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis
AT proninairina predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis
AT filippovaelena predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis
AT kazubskayatatiana predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis
AT loginovvitaly predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis
AT bragaeleonora predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis
AT alimovandrei predictionofdistantmetastasesinpatientswithkidneycancerbasedongeneexpressionandmethylationanalysis