Small Renal Mass Surveillance: Histology-specific Growth Rates in a Biopsy-characterized Cohort

医学 四分位间距 肾细胞癌 队列 清除单元格 活检 倍增时间 组织学 病理 内科学 放射科 泌尿科 细胞 遗传学 生物
作者
Antonio Finelli,Douglas Cheung,Ashraf Almatar,Andrew Evans,Christopher Morash,Stephen E. Pautler,D. Robert Siemens,Simon Tanguay,Ricardo Rendon,Martin Gleave,Darrel Drachenberg,Joseph L. Chin,Neil Fleshner,Masoom A. Haider,John R. Kachura,Jenna Sykes,Michael A.S. Jewett
出处
期刊:European Urology [Elsevier BV]
卷期号:78 (3): 460-467 被引量:53
标识
DOI:10.1016/j.eururo.2020.06.053
摘要

Most reports of active surveillance (AS) of small renal masses (SRMs) lack biopsy confirmation, and therefore include benign tumors and different subtypes of renal cell carcinoma (RCC). We compared the growth rates and progression of different histologic subtypes of RCC SRMs (SRMRCC) in the largest cohort of patients with biopsy-characterized SRMs on AS. Data from patients in a multicenter Canadian trial and a Princess Margaret cohort were combined to include 136 biopsy-proven SRMRCC lesions managed by AS, with treatment deferred until progression or patient/surgeon decision. Growth curves were estimated from serial tumor size measures. Tumor progression was defined by sustained size ≥4 cm or volume doubling within 1 yr. Median follow-up for patients who remained on AS was 5.8 yr (interquartile range 3.4–7.5 yr). Clear cell RCC SRMs (SRMccRCC) grew faster than papillary type 1 SRMs (0.25 and 0.02 cm/yr on average, respectively, p = 0.0003). Overall, 60 SRMRCC lesions progressed: 49 (82%) by rapid growth (volume doubling), seven (12%) increasing to ≥4 cm, and four (6.7%) by both criteria. Six patients developed metastases, and all were of clear cell RCC histology. Limitations include the use of different imaging modalities and a lack of central imaging review. Tumor growth varies between histologic subtypes of SRMRCC and among SRMccRCC, which likely reflects individual host and tumor biology. Without validated biomarkers that predict this variation, initial follow-up of histologically characterized SRMs can inform personalized treatment for patients on AS. Many small kidney cancers are suitable for surveillance and can be monitored over time for change. We demonstrate that different types of kidney cancers grow at different rates and are at different risks of progression. These results may guide better personalized treatment.

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