Factors affecting outcome in renal cell carcinoma

被引:7
|
作者
Sun, Maxine [1 ]
Shariat, Shahrokh F. [2 ]
Karakiewicz, Pierre I. [1 ,3 ]
机构
[1] Univ Montreal, Ctr Hlth, Canc Prognost & Hlth Outcomes Unit, Montreal, PQ H2X 3J4, Canada
[2] Weill Cornell Med Ctr, Dept Urol, New York, NY USA
[3] Univ Montreal, Ctr Hlth, Dept Urol, Montreal, PQ H2X 3J4, Canada
关键词
outcome; prognostic factors; renal cell carcinoma; INTEGRATED STAGING SYSTEM; POSTOPERATIVE PROGNOSTIC NOMOGRAM; ENDOTHELIAL GROWTH-FACTOR; CANCER-SPECIFIC SURVIVAL; INTERFERON-ALPHA; PREDICT SURVIVAL; MULTIINSTITUTIONAL VALIDATION; SARCOMATOID DIFFERENTIATION; STRATIFICATION TOOL; SEQUENTIAL THERAPY;
D O I
10.1097/MOU.0b013e32833c7b19
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Purpose of review To review the latest status on prognostic factors in renal cell carcinoma (RCC). Recent findings Many predictive and prognostic factors can help differentiate between favorable and unfavorable RCC phenotypes. There currently exist several clinical and/or pathological, and biological factors, which have been exclusively tested and used in predictive and prognostic models. Nonetheless, the search for highly informative and reliable factors of disease characteristics and progression continues. Conclusion Over the last decade, an increase occurred in the number of models that can predict the treated natural history of RCC. Many of these novel models and previously developed models are tested in a head-to-head fashion, with the intent of identifying the most accurate and valuable tools for clinical practice. Novel prognostic factors and more upto-date models are urgently needed for patients with metastatic RCC, especially in the era of targeted therapies. This should represent the focus of contemporary prognostic modeling in RCC.
引用
收藏
页码:355 / 360
页数:6
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