Kotlyar, Mischa J. and Krebs, Markus and Solimando, Antonio Giovanni and Marquardt, Andre and Burger, Maximilian and Kuebler, Hubert and Bargou, Ralf and Kneitz, Susanne and Otto, Wolfgang and Breyer, Johannes and Vergho, Daniel C. and Kneitz, Burkhard and Kalogirou, Charis (2023) Critical Evaluation of a microRNA-Based Risk Classifier Predicting Cancer-Specific Survival in Renal Cell Carcinoma with Tumor Thrombus of the Inferior Vena Cava. CANCERS, 15 (7): 1981. ISSN , 2072-6694
Full text not available from this repository. (Request a copy)Abstract
(1) Background: Clear cell renal cell carcinoma extending into the inferior vena cava (ccRCC(IVC)) represents a clinical high-risk setting. However, there is substantial heterogeneity within this patient subgroup regarding survival outcomes. Previously, members of our group developed a microRNA(miR)-based risk classifier-containing miR-21-5p, miR-126-3p and miR-221-3p expression-which significantly predicted the cancer-specific survival (CSS) of ccRCC(IVC) patients. (2) Methods: Examining a single-center cohort of tumor tissue from n = 56 patients with ccRCC(IVC), we measured the expression levels of miR-21, miR-126, and miR-221 using qRT-PCR. The prognostic impact of clinicopathological parameters and miR expression were investigated via single-variable and multivariable Cox regression. Referring to the previously established risk classifier, we performed Kaplan-Meier analyses for single miR expression levels and the combined risk classifier. Cut-off values and weights within the risk classifier were taken from the previous study. (3) Results: miR-21 and miR-126 expression were significantly associated with lymphonodal status at the time of surgery, the development of metastasis during follow-up, and cancer-related death. In Kaplan-Meier analyses, miR-21 and miR-126 significantly impacted CSS in our cohort. Moreover, applying the miR-based risk classifier significantly stratified ccRCC(IVC) according to CSS. (4) Conclusions: In our retrospective analysis, we successfully validated the miR-based risk classifier within an independent ccRCC(IVC) cohort.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ADJUVANT PEMBROLIZUMAB; SURGICAL-MANAGEMENT; INVASION; SUNITINIB; PROLIFERATION; NEPHRECTOMY; ASSOCIATION; METASTASIS; EXTENSION; MIR-221; kidney cancer; RCC; venous infiltration; biomarker; miR; risk stratification |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Urologie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 26 Mar 2024 13:50 |
| Last Modified: | 26 Mar 2024 13:50 |
| URI: | https://pred.uni-regensburg.de/id/eprint/60604 |
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