Critical evaluation of a microRNA-based risk classifier predicting cancer-specific survival in renal cell carcinoma with tumor thrombus of the inferior vena cava
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- (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(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.…
Autor(en): | Mischa J. Kotlyar, Markus Krebs, Antonio Giovanni Solimando, André Marquardt, Maximilian Burger, Hubert Kübler, Ralf Bargou, Susanne Kneitz, Wolfgang Otto, Johannes Breyer, Daniel C. Vergho, Burkhard Kneitz, Charis Kalogirou |
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URN: | urn:nbn:de:bvb:20-opus-311040 |
Dokumentart: | Artikel / Aufsatz in einer Zeitschrift |
Institute der Universität: | Medizinische Fakultät / Urologische Klinik und Poliklinik |
Fakultät für Biologie / Theodor-Boveri-Institut für Biowissenschaften | |
Medizinische Fakultät / Comprehensive Cancer Center Mainfranken | |
Sprache der Veröffentlichung: | Englisch |
Titel des übergeordneten Werkes / der Zeitschrift (Englisch): | Cancers |
ISSN: | 2072-6694 |
Erscheinungsjahr: | 2023 |
Band / Jahrgang: | 15 |
Heft / Ausgabe: | 7 |
Aufsatznummer: | 1981 |
Originalveröffentlichung / Quelle: | Cancers (2023) 15:7, 1981. https://doi.org/10.3390/cancers15071981 |
DOI: | https://doi.org/10.3390/cancers15071981 |
Allgemeine fachliche Zuordnung (DDC-Klassifikation): | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Freie Schlagwort(e): | RCC; biomarker; kidney cancer; miR; risk stratification; venous infiltration |
Datum der Freischaltung: | 18.12.2023 |
Datum der Erstveröffentlichung: | 26.03.2023 |
Lizenz (Deutsch): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |