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Updated: Feb 3, 2026

Modeling Spontaneous Metastatic Renal Cell Carcinoma mRCC in Mice Following Nephrectomy
Published on: April 29, 2014
Potential clinical applications of microRNAs as biomarkers for renal cell carcinoma
Yulian Mytsyk1, Victor Dosenko2, Michał Andrzej Skrzypczyk3
1Department of Urology, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine.
Introduction:
Renal cell carcinoma (RCC) accounts for 3% of adult malignancies and more than 90% of kidney neoplasms. High rates of undiagnostic percutaneous kidney biopsies and difficulties in reliable pre-operative differentiation between malignant and benign renal tumors using contemporary imaging techniques result in large numbers of redundant surgeries. Absence of specific biomarkers for early detection and monitoring complicates on-time diagnosis of the disease and relapse. For the patients followed up after having a nephrectomy, a noninvasive and sensitive biomarker enabling early detection of disease relapse would be extremely useful.
Material And Methods:
The study is a review of recent knowledge regarding potential clinical applications of microRNAs (miRNAs) as biomarkers of RCC.
Results:
MicroRNAs are essential regulators of various processes such as cell proliferation, differentiation, development and death; they have been implicated in diverse biological and pathological processes in RCC. There is a class of miRNAs that promote RCC development (oncomirs) and a class of miRNAs that negatively regulate oncogenes, suppress tumor growth and invasion, and thus could be considered treatment agents (anti-oncomirs). Separate miRNAs and specific miRNAs expression profiles have been identified, enabling early detection of the disease, prediction of response to systemic therapy, or prognostication of biological behavior of the disease.
Conclusions:
The miRNA network analysis and gene profiling may help to identify the most sensible molecular signatures of RCC that can be used for diagnostic purposes, as well as poor prognosis signatures and poor therapeutic response signatures in patients who undergo systemic therapy.
Insights
MicroRNAs show promise as biomarkers for renal cell carcinoma (RCC) detection and monitoring. Identifying specific microRNA profiles can aid in early diagnosis, predict treatment response, and detect disease recurrence in RCC patients.
Area of Science:
- Oncology
- Molecular Biology
- Biomarker Discovery
Background:
- Renal cell carcinoma (RCC) constitutes a significant portion of adult malignancies, with challenges in accurate pre-operative diagnosis leading to unnecessary surgeries.
- The lack of specific biomarkers for early detection and monitoring complicates timely diagnosis and relapse identification in RCC.
- A non-invasive biomarker is crucial for detecting disease relapse in patients post-nephrectomy.
Purpose of the Study:
- To review current knowledge on the clinical applications of microRNAs (miRNAs) as biomarkers for renal cell carcinoma (RCC).
Main Methods:
- Literature review of recent studies on microRNAs in the context of RCC.
- Analysis of the role of miRNAs in cellular processes relevant to RCC development and progression.
Main Results:
- MicroRNAs are key regulators in cell proliferation, differentiation, and apoptosis, playing roles in RCC pathogenesis.
- Specific microRNAs (oncomirs) promote RCC, while others (anti-oncomirs) can suppress tumor growth.
- Distinct miRNA expression profiles are identified for early RCC detection, predicting treatment response, and prognostication.
Conclusions:
- miRNA network analysis and gene profiling can identify sensitive molecular signatures for RCC diagnosis.
- These signatures can also predict poor prognosis and therapeutic response in patients undergoing systemic therapy.
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