scholarly journals Growth Rates of Genetically Defined Renal Tumors: Implications for Active Surveillance and Intervention

2020 ◽  
Vol 38 (11) ◽  
pp. 1146-1153 ◽  
Author(s):  
Mark W. Ball ◽  
Julie Y. An ◽  
Patrick T. Gomella ◽  
Rabindra Gautam ◽  
Christopher J. Ricketts ◽  
...  

PURPOSE Published series of growth rates of renal tumors on active surveillance largely consist of tumors without pathologic or genetic data. Growth kinetics of genetically defined renal tumors are not well known. Here, we evaluate the growth of genetically defined renal tumors and their association with patient clinical and genetic characteristics. PATIENTS AND METHODS We evaluated patients with an inherited kidney cancer susceptibility syndrome as a result of a pathologic germline alteration of VHL, MET, FLCN, or BAP1 with at least 1 solid renal mass managed with active surveillance at our institution. Tumor growth rates (GR) were calculated and patients were stratified by genetic alteration and other clinical and genetic factors to analyze differences in growth rates using linear regression and comparative statistics. RESULTS A total of 292 patients with 435 genetically defined tumors were identified, including 286 VHL-deficient, 91 FLCN-deficient, 52 MET-activated, and 6 BAP1-deficient tumors. There were significant differences in GRs when stratified by genetic alteration. BAP1-deficient tumors had the fastest median GR (0.6 cm/y; interquartile range [IQR], 0.57-0.68 cm/y), followed by VHL-deficient tumors (GR, 0.37 cm/y; IQR, 0.25-0.57 cm/y), FLCN-deficient tumors (GR, 0.10 cm/y; IQR, 0.04-0.24 cm/y), and tumors with MET activation (GR, 0.15 cm/y; IQR, 0.053-0.32 cm/y; P < .001). Tumors from the same patient had similar GRs. Younger age was independently associated with higher GR ( P = .005). CONCLUSION In a cohort of genetically defined tumors, tumor growth rates varied in a clinically and statistically different manner according to genetic subtype. Rapid growth of BAP1-deficient tumors indicates that these patients should be managed with caution. The faster growth of tumors in younger patients may support more frequent imaging, whereas the slower growth of other tumors may support extended surveillance beyond annual imaging in some instances.

2019 ◽  
Vol 201 (Supplement 4) ◽  
Author(s):  
Mark Ball* ◽  
Rabindra Gautam ◽  
Christopher Ricketts ◽  
Cathy Vocke ◽  
Laura Schmidt ◽  
...  

2008 ◽  
Vol 179 (4S) ◽  
pp. 329-329 ◽  
Author(s):  
Christopher K Hwang ◽  
Kenneth Ogan ◽  
John G Pattaras ◽  
Viraj A Master

Author(s):  
Hiten D. Patel ◽  
Phillip M. Pierorazio

Author(s):  
Paul L. Crispen ◽  
Sameer N. Chawla ◽  
Robert G. Uzzo

1995 ◽  
Vol 32 (3) ◽  
pp. 591-608 ◽  
Author(s):  
Chinsan Lee ◽  
Grace L. Yang

Asymptotic formulas for means and variances of a multitype decomposable age-dependent supercritical branching process are derived. This process is a generalization of the Kendall–Neyman–Scott two-stage model for tumor growth. Both means and variances have exponential growth rates as in the case of the Markov branching process. But unlike Markov branching, these asymptotic moments depend on the age of the original individual at the start of the process and the life span distribution of the progenies.


2018 ◽  
Vol 74 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Andrew G. McIntosh ◽  
Benjamin T. Ristau ◽  
Karen Ruth ◽  
Rachel Jennings ◽  
Eric Ross ◽  
...  

2021 ◽  
Vol 238 (07) ◽  
pp. 773-780
Author(s):  
Aline Isabel Riechardt ◽  
Emine Kilic ◽  
Antonia M. Joussen

AbstractOver the last ten years, much has been learnt about the genetic characteristics and genetic evolution of uveal melanoma. It has been shown that uveal melanoma differs fundamentally from non-uveal melanoma and is an independent genetic subtype. Compared to other tumours, uveal melanoma has a low mutational burden. There are recurring chromosomal aberrations with losses of 1p, 6q, 8p and 16q, gains of 6p and 8q, and the presence of monosomy 3. GNAQ, GNA11, PLCB4, CYSLTR2, MAPKAPK5, as well as mutations in BAP1, SF3B1, SRSF2 and EIF1AX, the latter being linked to a higher risk of metastasis, have been identified as significantly mutated genes. In rare cases, a BAP1 germline mutation may also be present. In addition to higher risk of uveal melanoma, this variant is also linked with other tumours. In this case, additional work-up, genetic counselling and screening of family members should be offered. While the knowledge about the genetic characteristics of uveal melanoma is already routinely used for diagnostic and prognostic purposes, targeted genotype-dependent therapy of uveal melanoma is currently still missing.


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