TY  - JOUR
A1  - Argentiero, Antonella
A1  - Solimando, Antonio Giovanni
A1  - Krebs, Markus
A1  - Leone, Patrizia
A1  - Susca, Nicola
A1  - Brunetti, Oronzo
A1  - Racanelli, Vito
A1  - Vacca, Angelo
A1  - Silvestris, Nicola
T1  - Anti-angiogenesis and immunotherapy: novel paradigms to envision tailored approaches in renal cell-carcinoma
JF  - Journal of Clinical Medicine
N2  - 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.
KW  - renal cell carcinoma
KW  - angiogenesis
KW  - immune-checkpoint inhibitor
KW  - tumor microenvironment
KW  - molecular subtypes
KW  - prognostic-biomarkers
KW  - predictive factors
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-205846
SN  - 2077-0383
VL  - 9
IS  - 5
ER  - 
TY  - JOUR
A1  - Vergho, Daniel Claudius
A1  - Kneitz, Susanne
A1  - Kalogirou, Charis
A1  - Burger, Maximilian
A1  - Krebs, Markus
A1  - Rosenwald, Andreas
A1  - Spahn, Martin
A1  - Löser, Andreas
A1  - Kocot, Arkadius
A1  - Riedmiller, Hubertus
A1  - Kneitz, Burkhard
T1  - 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
N2  - 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.
KW  - forecasting
KW  - metastasis
KW  - renal cancer
KW  - renal cell carcinoma
KW  - kidneys
KW  - surgical oncology
KW  - surgical and invasive medical procedures
KW  - regression analysis
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-113633
ER  -