2015
DOI: 10.1016/j.urolonc.2015.04.001
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Small renal masses in the era of personalized medicine: Tumor heterogeneity, growth kinetics, and risk of metastasis

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Cited by 17 publications
(7 citation statements)
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References 58 publications
(62 reference statements)
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“…Tumor heterogeneity is a well-recognized factor for histology, grade, and mutation status, especially in CCRCC. [43][44][45] Grade agreement decreased with size (Table 4), suggesting intratumoral heterogeneity to be a dominant factor. The higher concordance rates in SRMs may also be influenced by their tendency to be low grade and lack intratumoral heterogeneity.…”
Section: Discussionmentioning
confidence: 99%
“…Tumor heterogeneity is a well-recognized factor for histology, grade, and mutation status, especially in CCRCC. [43][44][45] Grade agreement decreased with size (Table 4), suggesting intratumoral heterogeneity to be a dominant factor. The higher concordance rates in SRMs may also be influenced by their tendency to be low grade and lack intratumoral heterogeneity.…”
Section: Discussionmentioning
confidence: 99%
“…Multiple cores likely increase the accuracy of the biopsy beyond the 93%. New studies suggest that clear cell renal cell carcinomas (ccRCC) have intratumor heterogeneity and RMB may underestimate the grade that the mass truly presents [ 11 , 28 , 35 ]. A recent study showed that 93% of high-grade specimens (Fuhrman score 3-4) also had low-grade components (Fuhrman score 1-2) [ 11 ].…”
Section: Biopsymentioning
confidence: 99%
“…Although conservative management of suspected RCC is growing in popularity, it should be emphasized that progression is still a possibility and thus close follow-up is indicated, because the tumor may not be necessarily at a 100% secure tumor size and some SRMs may albergate high-grade necrosis or other unfavorable features [ 28 , 35 ]. While AS represents a reasonable alternative to primary curative intervention such as nephrectomy or ablation, this type of treatment still necessitates careful patient selection, careful management, patient compliance, and ongoing follow-up.…”
Section: Active Surveillancementioning
confidence: 99%
“…Predictors of growth and progression in SRMs on active surveillance remain poorly defined mainly due to a dearth of good quality longitudinal observational data (1)(2)(3)(4). The universal healthcare model in the National Health Services (NHS) of the United Kingdom has the advantage of studying longitudinal observational data, especially through linkage methodology using a common identifier such as unique Community Health Care Index (CHI) number.…”
Section: Introductionmentioning
confidence: 99%