Exosomal miRNA-146a and miRNA-424 as possible predictors of immune checkpoint inhibitors therapy response in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is a malignant kidney tumor with a poor prognosis and difficult to treat. Despite significant advances in the treatment of ccRCC, immune checkpoint in-hibitors (ICI) still have limited therapeutic efficacy. A growing body of work has demonstrated that exosomal microRNAs are key modulators of tumor signaling and determinants of the tumor microenvironment. Disruption of microRNA regulation may affect ccRCC immunogenicity and response to ICI therapy, making them attractive for use as prognostic molecular genetic bi-omarkers. We evaluated exosomal miRNAs (miRNA-424,-146a,-503, -144) expression levels before and after ICI therapy in plasma samples obtained from 42 ccRCC patients. Expression analysis was performed by real-time PCR method. The results showed that the expression levels of miRNA-424 and miRNA-146a were upregulated after ICI therapy treatment (miRNA-424 = Mean ± SEM 1.202 ± 0.15 and miRNA-146a = 12.22 ± 1.45) compared expression levels before therapy (miRNA-424=Mean±SEM 0.63 ± 0.17; p-value = 0.03 and miRNA-146a = 7.03 ± 0.90; p-value = 0.006). miRNA-424 and miRNA-146a can be used to create a panel of molecular markers for evaluating the effectiveness of immune checkpoint inhibitors therapy. Even though this is very preliminary and requires further studying on a larger sample, it further increases the interest in using microRNAs, as additional ICI therapeutic markers capable of modulating immune tolerance.

Authors

Institutions

Publication Details

Journal
Генетика
Published
2024-08-26
DOI
https://doi.org/10.31857/s0016675824030107
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exosomal miRNA-146a and miRNA-424 as possible predictors of immune checkpoint inhibitors therapy response in clear cell renal cell carcinoma

С. М. Измайлова, I. R. Gilyazova, Э. К. Хуснутдинова, Gulshat Gilyazova et al.
Генетика
Extracellular vesicles in disease
article

Exosomal miRNA-146a and miRNA-424 as possible predictors of immune checkpoint inhibitors therapy response in clear cell renal cell carcinoma

С. М. Измайлова, I. R. Gilyazova, Э. К. Хуснутдинова, Gulshat Gilyazova, В. Н. Павлов, Dilara Asadullina, Elizaveta A. Ivanova
article en

Abstract

Clear cell renal cell carcinoma (ccRCC) is a malignant kidney tumor with a poor prognosis and difficult to treat. Despite significant advances in the treatment of ccRCC, immune checkpoint in-hibitors (ICI) still have limited therapeutic efficacy. A growing body of work has demonstrated that exosomal microRNAs are key modulators of tumor signaling and determinants of the tumor microenvironment. Disruption of microRNA regulation may affect ccRCC immunogenicity and response to ICI therapy, making them attractive for use as prognostic molecular genetic bi-omarkers. We evaluated exosomal miRNAs (miRNA-424,-146a,-503, -144) expression levels before and after ICI therapy in plasma samples obtained from 42 ccRCC patients. Expression analysis was performed by real-time PCR method. The results showed that the expression levels of miRNA-424 and miRNA-146a were upregulated after ICI therapy treatment (miRNA-424 = Mean ± SEM 1.202 ± 0.15 and miRNA-146a = 12.22 ± 1.45) compared expression levels before therapy (miRNA-424=Mean±SEM 0.63 ± 0.17; p-value = 0.03 and miRNA-146a = 7.03 ± 0.90; p-value = 0.006). miRNA-424 and miRNA-146a can be used to create a panel of molecular markers for evaluating the effectiveness of immune checkpoint inhibitors therapy. Even though this is very preliminary and requires further studying on a larger sample, it further increases the interest in using microRNAs, as additional ICI therapeutic markers capable of modulating immune tolerance.

ГенетикаVol. 60(3)
Russian Academy of Sciences (RU), Ministry of Health of the Russian Federation (RU), Bashkir State Medical University (RU)
Good health and well-being
Openalex Percentile: Top 88%
Extracellular vesicles in disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.