metastatic renal cell carcinoma
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2022 ◽  
Author(s):  
Teruo Inamoto ◽  
Haruhito Azuma ◽  
Masatoshi Adachi ◽  
Yutaka Okayama ◽  
Toshiyuki Sunaya ◽  
...  

Aim: To assess sorafenib survival outcomes in renal cell carcinoma patients using standard International Metastatic Renal Cell Carcinoma Data Consortium (IMDC) risk criteria. Patients & methods: The authors restratified a real-world cohort of 3255 advanced renal cell carcinoma patients, obtained from Japanese sorafenib postmarketing surveillance, to assess survival outcomes using IMDC criteria; intermediate risk was subdivided into Int-1 and Int-2 (one and two risk factors, respectively). Results: Overall, 2225 (68%) IMDC-evaluable patients were reclassified as favorable (17%), intermediate (62%) and poor (21%) risk, with median progression-free survival of 10.4, 8.1 and 3.4 months, respectively. Int-1 (36%) and Int-2 (26%) subgroups had median progression-free survival of 10.1 and 6.0 months, respectively. Sorafenib had acceptable safety/tolerability. Conclusion: Sorafenib effectiveness was promising for IMDC intermediate risk, particularly Int-1, warranting further investigation.


2022 ◽  
Author(s):  
qiwei yang ◽  
wei yang ◽  
yijun tian ◽  
da xu ◽  
chuanmin chu ◽  
...  

Abstract Backgrounds: The incidence of renal cancer is relatively insidious, and some patients have been metastatic renal cancer at the initial visit. Sunitinib is the first-line systemic therapy for patients with metastatic renal cell carcinoma, however, there is scant analysis of its effect on genes and microRNAs.Methods: In this study, 8 differentially expressed microRNAs and 112 differentially expressed genes were designated by analyzing mRNA and microRNA data sets and weighted correlation network analysis (WGCNA).Results: NIPSNAP1 gene showed the most co-expression with other genes. Through the intersection of the microRNA target gene with our differentially expressed genes, we got 26 genes. KEGG and GO analysis showed that these genes were predominantly concentrated in Pathways in cancer, Sphingolipid metabolism and Glycosaminoglycan degradation. After we set the 26 genes and gene of WGCNA do intersection, received six genes, respectively is NIPSNAP1, SDC4, TBC1D9, NEU1, STK40 and PLAUR. Conclusion: Through subsequent cell, molecular and flow cytometry experiments, we found the PLAUR would play a crucial role in renal cell carcinoma (RCC) resistant to sunitinib, which will be available for new ideas to forecast sunitinib resistance and reverse sunitinib resistance.


2022 ◽  
Author(s):  
Adrian Capilnean, MD ◽  
Andreea M. Domsa, MD ◽  
Dan G. Duma, MD

2022 ◽  
Vol 11 (3) ◽  
pp. 23-35
Author(s):  
N.  V. Karpova ◽  
M.  V. Ivanov ◽  
V.  A. Mileiko ◽  
A.  A. Rumyantsev ◽  
T.  A. Titova ◽  
...  

Abstract: Nivolumab was registered in Russia in December 2016 as a monotherapy for advanced renal cell carcinoma (RCC) and it remains a second‑line treatment choice for patients with disease progression after the use of tyrosine kinase inhibitors. Even though immunotherapy has already proven to be an effective approach for the treatment of RCC, predictive biomarkers for the rational selection of patients remain unidentified.Seventy‑five patients with metastatic renal cell carcinoma (mRCC) who received nivolumab in the 2nd and subsequent lines of therapy from 2015 to 2020 under the expanded access program were enrolled in this study. The objective response rate was 21,3 %. Median progression‑free survival (PFS) was 5,5 months. Median overall survival (OS) was not reached.To analyze molecular biomarkers correlated with the response to immunotherapeutic treatment, we performed whole‑transcriptome RNA sequencing of 16 samples (FFPE) in 15 patients with the assessment of the expression level for individual genes (PDCD1, CD274, CD8A, CD8B, CD4) and gene signatures (Angio, Teff, Myeloid Inflammation).Disease control rates were not different for the subgroups of patients with high and low expression of any of the signatures examined, and further principal component analysis did not reveal clustering of patients with and without objective response.Further studies on a larger sample of patients will help confirm or deny the predictive role of biomarkers selected for analysis in a heterogeneous population of RCC patients.


2022 ◽  
Vol 2 (1) ◽  
pp. 25-30
Author(s):  
RYO FUJIWARA ◽  
YOSHINOBU KOMAI ◽  
TOMOHIKO OGUCHI ◽  
NOBORU NUMAO ◽  
SHINYA YAMAMOTO ◽  
...  

Background/Aim: To evaluate the relationship between treatment period and overall survival (OS) and to identify clinical factors associated with OS in patients with metastatic renal cell carcinoma (mRCC). Patients and Methods: Two hundred thirteen consecutive patients with mRCC receiving systemic therapy between 2008 and 2020 were divided into two groups: those starting first-line therapy in 2008-2015 (n=133) and those in 2016-2020 (n=80). Clinical factors associated with OS were retrospectively and statistically analyzed. Results: Median OS and one-, three- and five-year OS rates were not reached and 88.7%, 64.9%, and 64.9% in patients treated in 2016-2020; 31.4 months and 78.5%, 42.8% and 34.2% in 2008-2015 (p=0.0013). Multivariate analysis identified the period in which first-line therapy was started as the strongest predictor for OS (p=0.0002). Conclusion: OS was significantly better in mRCC patients treated in 2016-2020 than in 2008-2015. Treatment period was the strongest predictor for OS.


Author(s):  
Hiren V. Patel ◽  
Sinae Kim ◽  
Arnav Srivastava ◽  
Brian M. Shinder ◽  
Joshua Sterling ◽  
...  

2022 ◽  
Vol 35 ◽  
pp. 54-58
Author(s):  
Aafke Meerveld-Eggink ◽  
Niels Graafland ◽  
Sofie Wilgenhof ◽  
Johannes V. Van Thienen ◽  
Ferry Lalezari ◽  
...  

Author(s):  
Samuel M. Miller ◽  
Lauren E. Wilson ◽  
Melissa A. Greiner ◽  
Jessica E. Pritchard ◽  
Tian Zhang ◽  
...  

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