Kidney Cancer

2006 ◽  
Vol 4 (10) ◽  
pp. 1072 ◽  
Author(s):  
_ _
Keyword(s):  
United States ◽  
Risk Factors ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Kidney Cancer ◽  
Renal Cell ◽  
Tumor Grade ◽  
The United States ◽  
Nodal Metastases ◽  
Recent Version

An estimated 38,890 Americans will be diagnosed with kidney cancer and 12,840 will die of this disease in the United States in 2006. Renal cell carcinoma (RCC) constitutes approximately 2% of all malignancies, with a median age at diagnosis of 65 years. Smoking and obesity are among the risk factors for RCC development, and tumor grade, local extent of the tumor, presence of regional nodal metastases, and evidence of metastatic disease at presentation are the most important prognostic determinants of 5-year survival. These guidelines discuss evaluation, staging, treatment, and management after treatment. For the most recent version of the guidelines, please visit NCCN.org

scholarly journals Advanced and metastatic renal cell carcinoma – Ain Shams Clinical Oncology Department Experience

2020 ◽  
Vol 10 (1) ◽  
pp. 18
Author(s):  
Ahmed Nagy ◽  
Mona Kamal ◽  
Hesham El Halawani
Keyword(s):  
Risk Factors ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Clinical Oncology ◽  
Renal Cell ◽  
Older Patients ◽  
Treatment Options ◽  
Tumor Grade ◽  
Kaplan Meier ◽  
Younger Age

Background: Renal cell carcinoma is a rare tumor and till recently few treatment options were available. It is poorly understood why people develop RCC since only a few etiologic factors have been clinically identified as risk factors for RCC.Purpose: To analyze our experience at Ain Shams University Clinical Oncology department in Egypt with patients presenting with advanced renal cell carcinoma to provide a correlations between clinic-pathological factors, treatment and survival outcomes.Methodology: Retrospective review of the data of 54 patients who were diagnosed as RCC and presented to Ain Shams University Clinical Oncology department in Egypt from 1 May 2013 till 1 May 2015. Descriptive and clinic-pathological data were described using simple and relative frequencies. Survival outcome for the patients will be described using Kaplan Meier curves stratified according to morphology, age group and treatment received.Results: The sample included 54 patients (53.7% were males) of whom 14.3% were less than 40 years and 3.7% were elderly (≥ 70 years old). The median age was 55.5 years (SD ± 13.6 , range 19-71). Median PFS was 6.5 months (SD ± 12.3846 Range 43) while the median OS was 13 months (SD ± 12.161 Range 46). PFS in patients aged below 55.5 years was 9 months (95% CI=6.509-11.491) compared to 4 months (95% CI=2.704-5.296) in older patients (p = .004). PFS in patients who achieved PR after sunitinb was 17 months (95% CI=6.916-27.084) compared to 5 months (95% CI=3.699-6.301) in patients who didn’t achieved PR (p < .001). OS in patients aged below 55.5 years was 15 months (95% CI=9.131-20.869) compared to 11 months (95% CI=8.947-13.053) in older patients (p = .012). Favorable pathology status was associated with prolonged OS of 14 months (95% CI= 9.403-18.597) versus 11 months (95% CI=8.363-13.637) for unfavourable pathology status (p = .11). Low grades histopathogy was associated with prolonged OS of 44 months (95% CI= 38.456-49.544) versus 12 months (95% CI=10.077-13.923) for higher grades (p = < .001).Conclusion: Multivariate analyses supported a conclusion that younger age was an independent prognostic factor for survival along with other known risk factors such as tumor grade and pathology status.

scholarly journals Gender Disparities among Japanese Renal Cell Carcinoma Patients Residing In the United States

2019 ◽  
Vol 30 ◽  
pp. vi94
Author(s):  
Anas M. Saad ◽  
Mahmad Wafa Khoudeir ◽  
Muneer J. Al-Husseini ◽  
Inas A. Ruhban ◽  
Khalid A. Jazieh ◽  
...  
Keyword(s):  
United States ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
The United States ◽  
Gender Disparities

scholarly journals Contemporary Trends in Nephrectomy for Renal Cell Carcinoma in the United States: Results From a Population Based Cohort

2011 ◽  
Vol 186 (5) ◽  
pp. 1779-1785 ◽  
Author(s):  
Simon P. Kim ◽  
Nilay D. Shah ◽  
Christopher J. Weight ◽  
R. Houston Thompson ◽  
James P. Moriarty ◽  
...  
Keyword(s):  
United States ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
The United States ◽  
Population Based

A consensus prognostic factor model for survival in patients with metastatic renal cell carcinoma: A Kidney Cancer Association’s International Kidney Cancer Working Group (IKCWG) study

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 5109-5109 ◽  
Author(s):  
P. Royston ◽  
J. Bacik ◽  
P. Elson ◽  
J. B. Manola ◽  
M. Mazumdar
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Kidney Cancer ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Interleukin 2 ◽  
Multivariable Analysis ◽  
Prognostic Index ◽  
The United States ◽  
Model Complexity

5109 Background: Numerous well-designed retrospective studies of prognostic factors (pf) for survival (S) in metastatic renal cell carcinoma (mRCC) patients (pts) have been conducted since 1986. However, no single model for describing S in this population has been universally accepted. Methods: Authors of several existing prognostic indices, and others, formed the IKCWG to develop a single validated S model. The IKCWG has established a comprehensive database of previously reported clinical pf from 3748 previously untreated mRCC pts entered on institution review board approved clinical trials conducted by 11 centers in Europe and the United States from 1975–2002. Results: Median age at study entry was 58, 70% of pts were male, 89% had ECOG performance status (PS) 0 or 1; 75% had prior nephrectomy. 72%, 30%, and 19% of pts had lung, bone, and liver metastases (mets), respectively. 72% received interferon-a and/or interleukin-2 based treatments (tx); 25% were txd with chemotherapy/hormones only; 3% received other tx. 88% of pts have died; median S was 11.1 months (m). All examined factors except sex, age, and histology impacted S at p<.001 in univariable analysis. Multivariable analysis using a log-logistic model stratified by center and multivariable fractional polynomials was performed to identify independent predictors of S. Missing data were handled using multiple imputation methods. Using p=.0044 as the criterion for variable selection to avoid overly complex models, a model comprising tx, PS, number of met sites, interval from diagnosis to tx, and pre-tx hemoglobin, WBC, LDH, alkaline phosphatase and calcium was identified. The 25th and 75th percentiles of the prognostic index formed by multiplying each factor by its regression coefficient were used as cutpoints to form three risk (r) groups with median S times (SE) of: favorable r (n=937; 27.8 (0.4) m), intermediate r (n=1874; 11.4 (0.2) m), and poor r (n=937; 4.1 (0.1) m). Conclusions: 9 clinical factors can be used to model S in mRCC and form 3 distinct prognostic groups. Additional model building to determine if model complexity can be reduced further, validation in independent data and comparison to existing prognostic models are underway. No significant financial relationships to disclose.

1082 RATE AND DETERMINANTS OF PARTIAL NEPHRECTOMY (PN) IN THE TREATMENT OF T1A RENAL CELL CARCINOMA (RCC) IN THE UNITED STATES

2011 ◽  
Vol 185 (4S) ◽  
Author(s):  
Sundeep Deorah ◽  
Rachna Raman ◽  
Krishnanath Gaitonde ◽  
Robert B. Bracken ◽  
James F. Donovan
Keyword(s):  
United States ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Partial Nephrectomy ◽  
Renal Cell ◽  
The United States

A Population-based Analysis of the Rate of Cytoreductive Nephrectomy for Metastatic Renal Cell Carcinoma in the United States

Urology ◽  
2009 ◽  
Vol 74 (4) ◽  
pp. 837-841 ◽  
Author(s):  
Claudio Jeldres ◽  
Sara Baillargeon-Gagne ◽  
Daniel Liberman ◽  
Hendrik Isbarn ◽  
Umberto Capitanio ◽  
...  
Keyword(s):  
United States ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
The United States ◽  
Population Based ◽  
Cytoreductive Nephrectomy
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