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Es wurde nachgewiesen, daß Zellen des Nierenzellkarzinoms Interleukin-4 Rezeptoren exprimieren. Inwieweit dieser Umstand sich auf das biologische Verhalten des Tumors auswirkt, ist bislang jedoch nicht geklärt. Die vorliegende Arbeit beschäftigt sich mit der Frage, ob es eine Korrelation zwischen dem Ausmaß der Expression von IL-4 Rezeptoren und der Prognose der Erkrankung gibt. 198 formalinfixierte und in Paraffin eingebettete Präparate von Nierenzellkarzinomen wurden immunhistochemisch aufgearbeitet und unter dem Lichtmikroskop ausgewertet. Mittels statistischer Tests wurden die Ergebnisse dieser Untersuchung auf einen möglichen Zusammenhang zur Überlebenszeit und rezidivfreien Zeit der erkrankten Patienten geprüft. Zusätzlich untersuchten wir die Ergebnisse auf eine mögliche Abhängigkeit der IL-4 Rezeptor Expression vom Tumorstadium und Malignitätsgrad der verwendeten Präparate. Sowohl Tumorstadium als auch Malignitätsgrad, beides anerkannte Prognosefaktoren beim Nierenzellkarzinom, zeigten dabei eine signifikante Korrelation zur Interleukin-4 Rezeptor Expression. Ein Zusammenhang zwischen der Expression von Interleukin-4 Rezeptoren und dem postoperativen Krankheitsverlauf konnte jedoch nicht nachgewiesen werden.
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 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.
Although decision making strategy based on clinico-histopathological criteria is well established, renal cell carcinoma (RCC) represents a spectrum of biological ecosystems characterized by distinct genetic and molecular alterations, diverse clinical courses and potential specific therapeutic vulnerabilities. Given the plethora of drugs available, the subtype-tailored treatment to RCC subtype holds the potential to improve patient outcome, shrinking treatment-related morbidity and cost. The emerging knowledge of the molecular taxonomy of RCC is evolving, whilst the antiangiogenic and immunotherapy landscape maintains and reinforces their potential. Although several prognostic factors of survival in patients with RCC have been described, no reliable predictive biomarkers of treatment individual sensitivity or resistance have been identified. In this review, we summarize the available evidence able to prompt more precise and individualized patient selection in well-designed clinical trials, covering the unmet need of medical choices in the era of next-generation anti-angiogenesis and immunotherapy.