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Impact of miR-21, miR-126 and miR-221 as Prognostic Factors of Clear Cell Renal Cell Carcinoma with Tumor Thrombus of the Inferior Vena Cava

Please always quote using this URN: urn:nbn:de:bvb:20-opus-113633
  • Clear cell renal cell carcinoma (ccRCC) characterized by a tumor thrombus (TT) extending into the inferior vena cava (IVC) generally indicates poor prognosis. Nevertheless, the risk for tumor recurrence after nephrectomy and thrombectomy varies. An applicable and accurate prediction system to select ccRCC patients with TT of the IVC (ccRCC/TT) at high risk after nephrectomy is urgently needed, but has not been established up to now. To our knowledge, a possible role of microRNAs (miRs) for the development of ccRCC/TT or their impact asClear cell renal cell carcinoma (ccRCC) characterized by a tumor thrombus (TT) extending into the inferior vena cava (IVC) generally indicates poor prognosis. Nevertheless, the risk for tumor recurrence after nephrectomy and thrombectomy varies. An applicable and accurate prediction system to select ccRCC patients with TT of the IVC (ccRCC/TT) at high risk after nephrectomy is urgently needed, but has not been established up to now. To our knowledge, a possible role of microRNAs (miRs) for the development of ccRCC/TT or their impact as prognostic markers in ccRCC/TT has not been explored yet. Therefore, we analyzed the expression of the previously described onco-miRs miR-200c, miR-210, miR-126, miR-221, let-7b, miR-21, miR-143 and miR-141 in a study collective of 74 ccRCC patients. Using the expression profiles of these eight miRs we developed classification systems that accurately differentiate ccRCC from non-cancerous renal tissue and ccRCC/TT from tumors without TT. In the subgroup of 37 ccRCC/TT cases we found that miR-21, miR-126, and miR-221 predicted cancer related death (CRD) accurately and independently from other clinico-pathological features. Furthermore, a combined risk score based on the expression of miR-21, miR-126 and miR-221 was developed and showed high sensitivity and specificity to predict cancer specific survival (CSS) in ccRCC/TT. Using the combined risk score we were able to classify ccRCC/TT patients correctly into high and low risk cases. The risk stratification by the combined risk score (CRS) will benefit from further cohort validation and might have potential for clinical application as a molecular prediction system to identify high- risk ccRCC/TT patients.show moreshow less

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Metadaten
Author: Daniel Claudius Vergho, Susanne Kneitz, Charis Kalogirou, Maximilian Burger, Markus Krebs, Andreas Rosenwald, Martin Spahn, Andreas Löser, Arkadius Kocot, Hubertus Riedmiller, Burkhard Kneitz
URN:urn:nbn:de:bvb:20-opus-113633
Document Type:Journal article
Faculties:Medizinische Fakultät / Urologische Klinik und Poliklinik
Medizinische Fakultät / Pathologisches Institut
Medizinische Fakultät / Theodor-Boveri-Institut für Biowissenschaften
Language:English
Year of Completion:2014
Source:PLoS ONE 9(10): e109877. doi:10.1371/journal.pone.0109877
DOI:https://doi.org/10.1371/journal.pone.0109877
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:forecasting; kidneys; metastasis; regression analysis; renal cancer; renal cell carcinoma; surgical and invasive medical procedures; surgical oncology
Release Date:2015/06/23
Collections:Open-Access-Publikationsfonds / Förderzeitraum 2014
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung