scholarly journals The impact of phosphatidylinositol phosphate and its associated enzyme levels on clinical outcomes in patients with renal cell carcinoma who underwent surgery

2020 ◽  
Vol 19 ◽  
pp. e1951
Author(s):  
N.S. Narita ◽  
H. Nakanishi ◽  
Y. Matsuda ◽  
M. Huang ◽  
A. Koizumi ◽  
...  
2010 ◽  
Vol 106 (11) ◽  
pp. 1638-1642 ◽  
Author(s):  
Matthew K. Tollefson ◽  
Stephen A. Boorjian ◽  
Christine M. Lohse ◽  
Michael L. Blute ◽  
Bradley C. Leibovich

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 414-414 ◽  
Author(s):  
Richard Wayne Joseph ◽  
Payal Kapur ◽  
Daniel Serie ◽  
Jeanette Eckel-Passow ◽  
Thai Huu Ho ◽  
...  

414 Background: While mutations in PBRM1 (~40%) and BAP1(~10%) are associated with clinical outcomes and pathologic features in clear cell renal cell carcinoma (ccRCC), the impact of protein expression of these genes remains unknown. Herein, we quantify PBRM1/BAP1 protein expression in a large cohort of patients with localized ccRCC and associate expression with cancer-specific survival (CSS) and pathologic features. Methods: We utilized the Mayo Clinic Renal Registry and identified 1,416 patients who underwent nephrectomy to treat clinically localized ccRCC between 1/3/1990 and 4/14/2009. We used immunohistochemistry (IHC) to detect PBRM1/BAP1 expression, and a central pathologist blinded to the outcomes scored tumors as either positive or negative. Tumors with heterogeneous or equivocal staining were excluded from this analysis. We generated Cox proportional hazard regression models for associations with ccRCC-SS, and we employed Mann-Whitney U tests for associations with pathologic features. Results: Of the 1,416 samples, 1,232 (87%) were PBRM1/BAP1 positive or negative, 163 (11%) had heterogeneous staining, and 21 (1%) could not be assessed. The distribution and association of PBRM1/BAP1 phenotypes with clinical outcomes are listed in the table below. PBRM1+/BAP1+ tumors have the best CSS, and PBRM1-/BAP1- have the worst. In addition, PBRM1/BAP1 expression strongly associated with the tumor size, stage, grade, and tumor necrosis (p<0.0001). Conclusions: This study is the first and largest to quantify PRBM1/BAP1 protein expression in ccRCC tumors. We were able to quantify PBRM1/BAP1 through IHC in the vast majority of tumors (87%), and PRBM1/BAP1 expression strongly associates with both CSS and pathologic tumor characteristics. Our data confirms our previous findings of the importance of PRBM1/BAP1 in the molecular pathogenesis of ccRCC. [Table: see text]


Life Sciences ◽  
2021 ◽  
Vol 275 ◽  
pp. 119396
Author(s):  
Yuan-Chin Tsai ◽  
Chao-Yuan Huang ◽  
Yu-Mei Hsueh ◽  
Yu-Ching Fan ◽  
Yu-Cin Fong ◽  
...  

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A242-A242
Author(s):  
T Anders Olsen ◽  
Dylan Martini ◽  
Subir Goyal ◽  
Yuan Liu ◽  
Sean Evans ◽  
...  

BackgroundImmune checkpoint inhibitors (ICIs) have increased in prevalence for the treatment of metastatic clear-cell renal cell carcinoma (mccRCC) in recent years given their efficacy and favorable toxicity profile. However, there has been insufficient investigation in the literature of how clinical outcomes differ on the basis of race. In this paper, we investigated differences in clinical outcomes between African American (AA) and Caucasian mRCC patients treated with ICI therapy.MethodsWe performed a retrospective study of 198 patients with mRCC who received ICI at the Emory Winship Cancer Institute from 2015–2020. Clinical outcomes were measured by overall survival (OS), progression-free survival (PFS), and clinical benefit (CB). OS and PFS were calculated from ICI-initiation to date of death and radiographic or clinical progression, respectively. CB was defined as a best radiographic response of complete response, partial response, or stable disease maintained for at least 6 months per response evaluation criteria in solid tumors version 1.1. The association of self-identified race with OS and PFS was generally modeled by Cox proportional hazards model. Univariable and multivariable logistic regression models were used for binary outcomes of CB. The univariate association of immune-related adverse events (irAEs) and non-clear-cell RCC (nccRCC) with race was assessed using Chi-square test.ResultsOur cohort was made up of 38 AA (19%) and 160 Caucasian (81%) patients. Most of the patients were diagnosed with ccRCC (78%) and more than half received PD-1 monotherapy (57%). Most patients were international mRCC database consortium (IMDC) intermediate (57%) or poor-risk (25%) groups. AA patients displayed significantly shorter PFS (HR=1.52, 95% CI: 1.01–2.3, p=0.045) and trended towards decreased CB (OR=0.51, 95% CI: 0.22–1.17, p=0.111) in MVA (table 1). There was no difference in OS (HR=1.09, 95% CI: 0.61–1.95, p=0.778) between the two racial groups in MVA (table 1). On Kaplan-Meier method, AA patients had shorter median OS (17 vs 25 months, p=0.3676) and median PFS (3.1 vs 4.4 months, p=0.0676) relative to Caucasian patients (figure 1). Additionally, AA patients more commonly had nccRCC compared to Caucasian patients (41.7% vs 17.5% nccRCC, p-0.002). AA patients also trended towards a lower incidence of irAEs compared to Caucasian patients in UVA (23.7% vs 35.8%, p=0.153).Abstract 223 Table 1*MVA controlled for age, race, gender, IMDC risk group, number of prior lines of therapy, PD-1 monotherapy, and ccRCC**statistical significance at alpha < 0.05Abstract 223 Figure 1African-American (black) and Caucasian (white) for OS (left panel) and PFS (right panel)ConclusionsIn this group of mRCC patients treated with ICI, African American patients had significantly shorter PFS compared to Caucasian patients. These findings suggest race could play a role in the management of late-stage mRCC. Larger, prospective studies are needed to validate these findings.AcknowledgementsResearch reported in this publication was supported in part by the Breen Foundation and the Biostatistics Shared Resource of Winship Cancer Institute of Emory University and NIH/NCI under award number P30CA138292. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.Trial RegistrationNot applicable.Ethics ApprovalThis retrospective study was approved by the Emory University Institutional Review Board.ConsentNot applicable.ReferencesNot applicable


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2574
Author(s):  
Jee Soo Park ◽  
Myung Eun Lee ◽  
Won Sik Jang ◽  
Koon Ho Rha ◽  
Seung Hwan Lee ◽  
...  

Genes associated with the DEAD-box helicase DDX11 are significant biomarkers of aggressive renal cell carcinoma (RCC), but their molecular function is poorly understood. We analyzed the molecular pathways through which DDX11 is involved in RCC cell survival and poly (ADP-ribose) polymerase (PARP) inhibitor sensitivity. Immunohistochemistry and immunoblotting determined DDX11 expression in normal kidney tissues, benign renal tumors, and RCC tissues and cell lines. Quantitative polymerase chain reaction validated the downregulation of DDX11 in response to transfection with DDX11-specific small interfering RNA. Proliferation analysis and apoptosis assays were performed to determine the impact of DDX11 knockdown on RCC cells, and the relevant effects of sunitinib, olaparib, and sunitinib plus olaparib were evaluated. DDX11 was upregulated in high-grade, advanced RCC compared to low-grade, localized RCC, and DDX11 was not expressed in normal kidney tissues or benign renal tumors. DDX11 knockdown resulted in the inhibition of RCC cell proliferation, segregation defects, and rapid apoptosis. DDX11-deficient RCC cells exhibited significantly increased sensitivity to olaparib compared to sunitinib alone or sunitinib plus olaparib combination treatments. Moreover, DDX11 could determine PARP inhibitor sensitivity in RCC. DDX11 could serve as a novel therapeutic biomarker for RCC patients who are refractory to conventional targeted therapies and immunotherapies.


2017 ◽  
Vol 197 (4S) ◽  
Author(s):  
Suguru Shirotake ◽  
Hideyuki Kondo ◽  
Yota Yasumizu ◽  
Koshiro Nishimoto ◽  
Nobuyuki Tanaka ◽  
...  

2019 ◽  
Vol 201 (Supplement 4) ◽  
Author(s):  
Florian Janisch ◽  
Constantin Fühner ◽  
Christian P. Meyer ◽  
Tobias Hillemacher ◽  
Thomas Klotzbücher ◽  
...  

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