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Figure 1.  Sites of Renal Cell Carcinoma (RCC) Metastasis by Histologic Subtype
Sites of Renal Cell Carcinoma (RCC) Metastasis by Histologic Subtype

The percentage of patients with involved site of metastasis at the time of first systemic therapy initiation for metastatic disease are presented. The 5 most frequent sites of metastasis across all histologic profiles are highlighted in bold type.

Figure 2.  Survival by Site of Metastatic Involvement in Clear Cell Renal Cell Carcinoma (RCC)
Survival by Site of Metastatic Involvement in Clear Cell Renal Cell Carcinoma (RCC)

Survival time is presented in descending order (error bars indicate 95% CIs) for: pancreas (353 patients), thyroid (48 patients), bowel (46 patients), adrenal (678 patients), lung (6189 patients), peritoneum (117 patients), lymph nodes (3874 patients), spleen (55 patients), bone (2847 patients), liver (1560 patients), brain (705 patients), and pleura (295 patients). Overall survival was calculated from time of first systemic therapy initiation for metastatic disease to death from any cause or censored at the time of last follow-up.

aComparing involved vs noninvolved site of metastasis, adjusted by number of International mRCC Database Consortium criteria, number of sites of metastasis, sarcomatoid features, and year started systemic therapy. Hazard ratio greater than 1 denotes worse overall survival.

Table 1.  Baseline Characteristics
Baseline Characteristics
Table 2.  Survival by Histologic Subtype and Site of Metastatic Involvement
Survival by Histologic Subtype and Site of Metastatic Involvement
Table 3.  Studies Reporting on Sites of Metastasis in mRCC
Studies Reporting on Sites of Metastasis in mRCC
1.
Srigley  JR, Delahunt  B, Eble  JN,  et al; ISUP Renal Tumor Panel.  The International Society of Urological Pathology (ISUP) Vancouver classification of renal neoplasia.   Am J Surg Pathol. 2013;37(10):1469-1489. doi:10.1097/PAS.0b013e318299f2d1 PubMedGoogle ScholarCrossref
2.
Patard  JJ, Leray  E, Rioux-Leclercq  N,  et al.  Prognostic value of histologic subtypes in renal cell carcinoma: a multicenter experience.   J Clin Oncol. 2005;23(12):2763-2771. doi:10.1200/JCO.2005.07.055 PubMedGoogle ScholarCrossref
3.
Choueiri  TK, Motzer  RJ.  Systemic therapy for metastatic renal-cell carcinoma.   N Engl J Med. 2017;376(4):354-366. doi:10.1056/NEJMra1601333 PubMedGoogle ScholarCrossref
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Cancer Genome Atlas Research Network.  Comprehensive molecular characterization of clear cell renal cell carcinoma.   Nature. 2013;499(7456):43-49. doi:10.1038/nature12222 PubMedGoogle ScholarCrossref
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Linehan  WM, Spellman  PT, Ricketts  CJ,  et al; Cancer Genome Atlas Research Network.  Comprehensive molecular characterization of papillary renal-cell carcinoma.   N Engl J Med. 2016;374(2):135-145. doi:10.1056/NEJMoa1505917 PubMedGoogle ScholarCrossref
6.
Davis  CF, Ricketts  CJ, Wang  M,  et al; The Cancer Genome Atlas Research Network.  The somatic genomic landscape of chromophobe renal cell carcinoma.   Cancer Cell. 2014;26(3):319-330. doi:10.1016/j.ccr.2014.07.014 PubMedGoogle ScholarCrossref
7.
Malouf  GG, Joseph  RW, Shah  AY, Tannir  NM.  Non-clear cell renal cell carcinomas: biological insights and therapeutic challenges and opportunities.   Clin Adv Hematol Oncol. 2017;15(5):409-418.PubMedGoogle Scholar
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Leibovich  BC, Lohse  CM, Crispen  PL,  et al.  Histological subtype is an independent predictor of outcome for patients with renal cell carcinoma.   J Urol. 2010;183(4):1309-1315. doi:10.1016/j.juro.2009.12.035 PubMedGoogle ScholarCrossref
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Teloken  PE, Thompson  RH, Tickoo  SK,  et al.  Prognostic impact of histological subtype on surgically treated localized renal cell carcinoma.   J Urol. 2009;182(5):2132-2136. doi:10.1016/j.juro.2009.07.019 PubMedGoogle ScholarCrossref
10.
Connor Wells  J, Donskov  F, Fraccon  AP,  et al.  Characterizing the outcomes of metastatic papillary renal cell carcinoma.   Cancer Med. 2017;6(5):902-909. doi:10.1002/cam4.1048 PubMedGoogle ScholarCrossref
11.
Yip  SM, Ruiz Morales  JM, Donskov  F,  et al.  Outcomes of metastatic chromophobe renal cell carcinoma (chrRCC) in the targeted therapy era: results from the International Metastatic Renal Cell Cancer Database Consortium (IMDC).   Kidney Cancer. 2017;1(1):41-47. doi:10.3233/KCA-160002 PubMedGoogle ScholarCrossref
12.
Bianchi  M, Sun  M, Jeldres  C,  et al.  Distribution of metastatic sites in renal cell carcinoma: a population-based analysis.   Ann Oncol. 2012;23(4):973-980. doi:10.1093/annonc/mdr362 PubMedGoogle ScholarCrossref
13.
Chandrasekar  T, Klaassen  Z, Goldberg  H, Kulkarni  GS, Hamilton  RJ, Fleshner  NE.  Metastatic renal cell carcinoma: Patterns and predictors of metastases—a contemporary population-based series.   Urol Oncol. 2017;35(11):661.e7-661.e14. doi:10.1016/j.urolonc.2017.06.060PubMedGoogle ScholarCrossref
14.
Grassi  P, Doucet  L, Giglione  P,  et al.  Clinical impact of pancreatic metastases from renal cell carcinoma: a multicenter retrospective analysis.   PLoS One. 2016;11(4):e0151662. doi:10.1371/journal.pone.0151662 PubMedGoogle Scholar
15.
Gravis  G, Chanez  B, Derosa  L,  et al; Renal Cross Channel Group.  Effect of glandular metastases on overall survival of patients with metastatic clear cell renal cell carcinoma in the antiangiogenic therapy era.   Urol Oncol. 2016;34(4):167.e17-167.e23. doi:10.1016/j.urolonc.2015.10.015PubMedGoogle ScholarCrossref
16.
Gong  J, Maia  MC, Dizman  N, Govindarajan  A, Pal  SK.  Metastasis in renal cell carcinoma: biology and implications for therapy.   Asian J Urol. 2016;3(4):286-292. doi:10.1016/j.ajur.2016.08.006 PubMedGoogle ScholarCrossref
17.
Beuselinck  B, Oudard  S, Rixe  O,  et al.  Negative impact of bone metastasis on outcome in clear-cell renal cell carcinoma treated with sunitinib.   Ann Oncol. 2011;22(4):794-800. doi:10.1093/annonc/mdq554 PubMedGoogle ScholarCrossref
18.
Heng  DY, Xie  W, Regan  MM,  et al.  Prognostic factors for overall survival in patients with metastatic renal cell carcinoma treated with vascular endothelial growth factor-targeted agents: results from a large, multicenter study.   J Clin Oncol. 2009;27(34):5794-5799. doi:10.1200/JCO.2008.21.4809PubMedGoogle ScholarCrossref
19.
Motzer  RJ, Tannir  NM, McDermott  DF,  et al; CheckMate 214 Investigators.  Nivolumab plus ipilimumab versus sunitinib in advanced renal-cell carcinoma.   N Engl J Med. 2018;378(14):1277-1290. doi:10.1056/NEJMoa1712126 PubMedGoogle ScholarCrossref
20.
Rini  BI, Plimack  ER, Stus  V,  et al; KEYNOTE-426 Investigators.  Pembrolizumab plus axitinib versus sunitinib for advanced renal-cell carcinoma.   N Engl J Med. 2019;380(12):1116-1127. doi:10.1056/NEJMoa1816714 PubMedGoogle ScholarCrossref
21.
Rini  BI, Powles  T, Atkins  MB,  et al; IMmotion151 Study Group.  Atezolizumab plus bevacizumab versus sunitinib in patients with previously untreated metastatic renal cell carcinoma (IMmotion151): a multicentre, open-label, phase 3, randomised controlled trial.   Lancet. 2019;393(10189):2404-2415. doi:10.1016/S0140-6736(19)30723-8 PubMedGoogle ScholarCrossref
22.
Escudier  B, Molinie  V, Bracarda  S,  et al.  Open-label phase 2 trial of first-line everolimus monotherapy in patients with papillary metastatic renal cell carcinoma: RAPTOR final analysis.   Eur J Cancer. 2016;69:226-235. doi:10.1016/j.ejca.2016.08.004PubMedGoogle ScholarCrossref
23.
Choueiri  TK, Vaishampayan  U, Rosenberg  JE,  et al.  Phase II and biomarker study of the dual MET/VEGFR2 inhibitor foretinib in patients with papillary renal cell carcinoma.   J Clin Oncol. 2013;31(2):181-186. doi:10.1200/JCO.2012.43.3383 PubMedGoogle ScholarCrossref
24.
Ged  Y, Chen  YB, Knezevic  A,  et al.  Metastatic chromophobe renal cell carcinoma: presence or absence of sarcomatoid differentiation determines clinical course and treatment outcomes.   Clin Genitourin Cancer. 2019;17(3):e678-e688. doi:10.1016/j.clgc.2019.03.018 PubMedGoogle ScholarCrossref
25.
Kalra  S, Atkinson  BJ, Matrana  MR,  et al.  Prognosis of patients with metastatic renal cell carcinoma and pancreatic metastases.   BJU Int. 2016;117(5):761-765. doi:10.1111/bju.13185 PubMedGoogle ScholarCrossref
26.
Beutner  U, Leowardi  C, Bork  U,  et al.  Survival after renal cell carcinoma metastasis to the thyroid: single center experience and systematic review of the literature.   Thyroid. 2015;25(3):314-324. doi:10.1089/thy.2014.0498 PubMedGoogle ScholarCrossref
27.
Turajlic  S, Xu  H, Litchfield  K,  et al; PEACE; TRACERx Renal Consortium.  Tracking cancer evolution reveals constrained routes to metastases: TRACERx renal.   Cell. 2018;173(3):581-594.e12. doi:10.1016/j.cell.2018.03.057PubMedGoogle ScholarCrossref
28.
Singla  N, Xie  Z, Zhang  Z,  et al.  Pancreatic tropism of metastatic renal cell carcinoma.   JCI Insight. 2020;5(7):134564. doi:10.1172/jci.insight.134564 PubMedGoogle Scholar
29.
Cagney  DN, Martin  AM, Catalano  PJ,  et al.  Incidence and prognosis of patients with brain metastases at diagnosis of systemic malignancy: a population-based study.   Neuro Oncol. 2017;19(11):1511-1521. doi:10.1093/neuonc/nox077 PubMedGoogle ScholarCrossref
30.
Sun  M, De Velasco  G, Brastianos  PK,  et al.  The development of brain metastases in patients with renal cell carcinoma: epidemiologic trends, survival, and clinical risk factors using a population-based cohort.   Eur Urol Focus. 2019;5(3):474-481. doi:10.1016/j.euf.2017.12.007 PubMedGoogle ScholarCrossref
31.
Beck  SD, Patel  MI, Snyder  ME,  et al.  Effect of papillary and chromophobe cell type on disease-free survival after nephrectomy for renal cell carcinoma.   Ann Surg Oncol. 2004;11(1):71-77. doi:10.1007/BF02524349 PubMedGoogle ScholarCrossref
32.
Albiges  L, Flippot  R, Rioux-Leclercq  N, Choueiri  TK.  Non-clear cell renal cell carcinomas: from shadow to light.   J Clin Oncol. 2018;JCO2018792531. doi:10.1200/JCO.2018.79.2531 PubMedGoogle Scholar
Original Investigation
Oncology
January 21, 2021

Evaluation of Clear Cell, Papillary, and Chromophobe Renal Cell Carcinoma Metastasis Sites and Association With Survival

Author Affiliations
  • 1Tom Baker Cancer Centre, University of Calgary, Calgary, Alberta, Canada
  • 2Department of Medical Oncology, University Hospital 12 de Octubre, Madrid, Spain
  • 3Department of Oncology,Aarhus University Hospital, Aarhus, Denmark
  • 4Department of Internal Medicine, University of Pavia, Pavia, Italy
  • 5Now with Department of Oncology, University of Bari Aldo Moro, Bari, Italy
  • 6CDC Pererzoli, Peschiera del Garda, Italy
  • 7Oncologia Medica Ospedale Santa Maria della Misericordia, Rovigo, Italy
  • 8Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
  • 9Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
  • 10Division of Medical Oncology, Sunnybrook Research Institute, Toronto, Ontario, Canada
  • 11Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
  • 12City of Hope Comprehensive Cancer Center, Duarte, California
  • 13Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
  • 14Department of Urology, University Medicine Greifswald, Greifswald, Germany
  • 15Department of Medical Oncology, National Cancer Centre Singapore, Singapore
  • 16The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa, Ontario, Canada
  • 17Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
JAMA Netw Open. 2021;4(1):e2021869. doi:10.1001/jamanetworkopen.2020.21869
Key Points

Question  In metastatic renal cell carcinoma (RCC), do patterns of metastasis differ between histologic subtypes and are sites of metastasis associated with survival?

Findings  In this cohort studyincluding 10 105 patients, patterns of metastasis varied significantly between metastatic clear cell RCC, papillary RCC, and chromophobe RCC. Sites of metastasis were associated with survival in all histologic subtypes.

Meaning  These data highlight the clinical and biological variability between metastatic RCC histologic subtypes and suggest that patterns of metastasis may reflect differences in underlying disease biology.

Abstract

Importance  There exists considerable biological and clinical variability between histologic variants of metastatic renal cell carcinoma (mRCC). Data reporting on patterns of metastasis in histologic variants of mRCC are sparse.

Objective  To characterize sites of metastasis and their association with survival across the 3 most common histologic variants of mRCC: clear cell (ccRCC), papillary (pRCC), and chromophobe (chrRCC).

Design, Setting, and Participants  In this multicenter, international cohort study, the International mRCC Database Consortium (IMDC) database was used to identify consecutive patients starting systemic therapy for mRCC between 2002 and 2019. Patients with mixed histologic subtype were excluded. Statistical analysis was performed from February to June 2020.

Exposures  Data regarding histologic subtype and sites of metastatic involvement at the time of first systemic therapy initiation were collected.

Main Outcomes and Measures  The primary outcomes were prevalence of metastatic site involvement and overall survival (OS) from time of systemic therapy initiation. Patients with multiple sites of metastatic involvement were included in analyses of all groups to which they had metastases.

Results  A total of 10 105 patients were eligible for analysis. Median (interquartile range) age at diagnosis was 60 (53-67) years, 7310 (72.4%) were men and 8526 (84.5%) underwent nephrectomy. Of these, 9252 (92%) had ccRCC, 667 (7%) had pRCC, and 186 (2%) had chrRCC. The median number of sites of metastasis was 2 (range, 0-7). In ccRCC, the most common sites of metastasis were lung (70%; 6189 of 8804 patients [448 missing]), lymph nodes (45%; 3874 of 8655 patients [597 missing]), bone (32%; 2847 of 8817 patients [435 missing]), liver (18%; 1560 of 8804 [448 missing]), and adrenal gland (10%; 678 of 6673 patients [2579 missing]). Sites of metastasis varied between subtypes. Lung, adrenal, brain, and pancreatic metastases were more frequent in ccRCC, lymph node involvement was more common in pRCC, and liver metastases were more frequent in chrRCC. Median OS for ccRCC varied by site of metastatic involvement, ranging between 16 months (95% CI, 13.7-18.8 months) for the pleura and 50 months (95% CI, 41.1-55.5 months) for the pancreas. Compared with ccRCC, patients with pRCC tended to have lower OS, regardless of metastatic site.

Conclusions and Relevance  Sites of metastatic involvement differ according to histologic subtype in mRCC and are associated with OS. These data highlight the clinical and biological variability between histologic subtypes of mRCC. Patterns of metastatic spread may reflect differences in underlying disease biology. Further work to investigate differences in immune, molecular, and genetic profiles between metastatic sites and histologic subtypes is encouraged.

Introduction

Renal cell carcinomas (RCC) comprise a heterogeneous group of malignant neoplasms arising from the nephron. With more than a dozen recognized histologic variants of renal cell tumors,1 RCCs may vary widely in their genetic, pathologic, and clinical characteristics. The 3 most common histologic variants of RCC include clear cell RCC (ccRCC), papillary RCC (pRCC), and chromophobe RCC (chrRCC), representing 75% to 85%, 10% to 15% and 5% to 10% of all kidney cancers, respectively.2,3 Comprehensive molecular and genetic analyses conducted through The Cancer Genome Atlas (TCGA) program have demonstrated that these subtypes of RCC are biologically distinct.4-6 Expectedly, the clinical behavior of RCC subtypes is similarly heterogeneous, which is likely a result of the differences in underlying disease biology between histologic variants.7-11

One manifestation of the divergent biological underpinnings and ensuing clinical behavior includes the pattern of disease spread in patients with metastatic RCC (mRCC). The most common sites of metastatic involvement in ccRCC are well characterized and include the lung, lymph nodes, bone, and liver.12,13 However, the rates of involvement for less common metastatic sites are not well described for this subtype. In addition, sites of metastasis in pRCC and chrRCC have not been as well characterized in the literature, and how the pattern of spread in these histologic variants compares with ccRCC is unclear.

Because sites of metastatic involvement may reflect differences in underlying disease biology, the clinical behavior of mRCC may vary on the basis of the pattern of organ involvement, even within a single histologic subtype. Indeed, it has been reported in select series that patients with mRCC that has metastasized to endocrine organs, such as the pancreas, may have extraordinary clinical outcomes, which may be a result of favorable underlying disease biology.14,15 Alternatively, metastases to other organs, such as the liver, bone, and/or brain, are associated with poor outcomes in patients with mRCC.13,16,17

Using the International mRCC Database Consortium (IMDC) clinical database—a large international database consisting of more than 11 000 patients from more than 40 institutions worldwide—we sought to characterize and compare the frequency of metastatic site involvement across the 3 major histologic subtypes of RCC and to assess for associations between site of metastatic involvement and survival.

Methods
Study Design and Patient Selection

Using the IMDC database, we performed an analysis of consecutive patients with mRCC from 40 international centers. Data were collected from hospital and pharmacy records between January 1, 2005 and December 31, 2019, using uniform database software and templates. All participating centers received approval from the local research ethics board prior to initiation of data collection. Waivers of consent were approved by the local research ethics boards of all participating institutions in order to facilitate maximal capture of the local patient populations and minimize bias. All patient data was deidentified. Results are presented in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

All patients with metastatic ccRCC, pRCC, and chrRCC who began systemic therapy between 2002 and 2019 were included. Sites of metastatic involvement known at the time of first systemic therapy initiation for metastatic disease were collected. Patients with mixed histologic profile (ie, 2 or more histologic subtypes on histopathologic evaluation) were excluded.

Outcome Measurements

Data regarding patient demographic characteristics, baseline characteristics, IMDC risk factors (hemoglobin less than the lower limit of normal, platelet count greater than the upper limit of normal, neutrophil count greater than the upper limit of normal, corrected calcium greater than the upper limit of normal, Karnofsky Performance Status <80%, and time from diagnosis to treatment < 1 year),18 tumor and treatment details, sites of metastatic involvement, and survival were extracted from the IMDC. Outcome measures of interest were prevalence of metastatic site involvement and overall survival (OS). OS was calculated from the time of initiation of first-line systemic therapy to death from any cause or censored at the time of last follow-up.

Statistical Analysis

Patient demographic characteristics and baseline characteristics are described using proportions (%) for categorical variables and medians (range or interquartile range [IQR]) for continuous variables. Differences in categorical and continuous variables were assessed using χ2 testing and Kruskal-Wallis testing, respectively. OS was evaluated using the Kaplan-Meier method. χ2 testing and log-rank testing were used to assess for differences in sites of metastasis and OS, respectively. Hazard ratios (HRs) were calculated using multivariable Cox regression analyses and adjusted to control for imbalances in individual IMDC risk factors. All OS HRs are reported comparing involved vs noninvolved sites of metastasis (HR > 1 denotes worse OS). Patients with multiple sites of metastatic involvement were included in analyses of all groups to which they had metastases.

P <.05 was considered significant. All statistical testing was 2-sided. The case deletion method was used when missing data were encountered. SAS statistical software version 9.4 (SAS Institute) was used to perform statistical analyses from February to June 2020.

Results
Patients

Of 11 514 total patients, 10 105 (88%) were eligible for analysis and had available data. Of these, median (IQR) age at diagnosis was 60 (53-67) years, 7310 (72.4%) were men, 8526 (84.5%) underwent nephrectomy, and 1034 (12.6%) had sarcomatoid features. There were 9252 patients with ccRCC (92%), 667 patients with pRCC (7%) and 186 patients with chrRCC (2%). Patients with chrRCC were less likely to be male (54%; 101 of 186 patients) and more likely to have sarcomatoid features (21%; 37 of 176 patients). Most patients were treated in North America (50%; 5072 patients) or Europe (35%; 3515 patients). Across the entire cohort, IMDC risk groups were: 19% favorable (1530 patients), 57% intermediate (4621 patients), and 25% poor (2002 patients). Patients with pRCC were least likely to have IMDC favorable-risk disease (14%; 71 patients) and most likely to have IMDC poor-risk disease (29%; 150 patients). Most patients received VEGF targeted therapy in the first line (88%; 8895 patients). Patients with pRCC and chrRCC were less likely to receive first-line VEGF targeted therapy (71% [475 of 667 patients] and 72% [134 of 186 patients], respectively). Baseline characteristics are summarized in Table 1.

Sites of Metastasis

The median number of sites of metastasis was 2 (range, 0-7 sites). (Patients with 0 documented sites of metastasis may have had recurrent and/or metastatic disease to areas not captured within the IMDC database [eg, locoregional recurrence, skin and soft tissue, parotid gland, other atypical sites].) The most common sites of metastasis across the entire cohort were lung, lymph nodes, bone, liver, adrenal, and brain. Less frequent sites of metastasis (<5%) included pancreas, pleura, peritoneum, spleen, thyroid, and bowel.

Sites of metastasis by histologic variant are shown in Figure 1. Sites of metastasis varied significantly between histologic subtypes (eTable 1 in the Supplement). Lung, adrenal, brain, and pancreatic metastases were more frequent in ccRCC, lymph node and peritoneal metastases were more frequent in pRCC, and liver metastases were more common in chrRCC. Approximately one-third of patients had bone metastases in all 3 histologic subtypes. The rates of brain metastases were 8% in ccRCC, 3% in pRCC, and 2% in chrRCC (Figure 1).

IMDC risk groups by site of metastatic involvement in ccRCC are presented in the eFigure in the Supplement. Patients with metastases to the pancreas and thyroid had the highest rates of favorable-risk disease (34% and 37%, respectively) and lowest rates of poor-risk disease (12% and 17%, respectively). Sites with a tendency toward higher-risk disease (favorable risk <20% and poor risk >30%) were bone, liver, pleura, and bowel.

Patients with metastatic disease involving only 1 site were observed in 3047 patients with ccRCC (33%), 248 patients with pRCC (37%), and 80 patients with chrRCC (43%) (P = .001). In ccRCC, the most common sites of solitary metastasis were lung (54%; 1652 of 3036 patients [11 missing]), bone (18%; 557 of 3038 patients [9 missing]), lymph nodes (16%; 481 of 2955 patients [92 missing]), and liver (6%; 193 of 3033 patients [14 missing]). All other sites were less than 3%. The pancreas and brain were the solitary metastatic site in 2.3% (51 of 2186 patients [861 missing]) and 1.4% (43 of 3030 patients [17 missing]), respectively.

The median number of concurrently involved sites for each site of metastasis is shown in eTable 2 in the Supplement. There was no significant association between age at diagnosis of mRCC and number of metastatic sites.

We performed a post hoc exploratory analysis of rates of sarcomatoid differentiation in patients with chrRCC. We found rates of sarcomatoid differentiation among patients with metastatic chrRCC and involvement of lung, lymph nodes, bone and liver to be 38%, 23%, 14% and 18%, respectively.

Survival

Survival varied substantially based on site of metastatic involvement. OS results by site of metastatic involvement in patients with ccRCC are illustrated in Figure 2. For these patients, median OS ranged between 16 months (pleura) and 50 months (pancreas). Metastases to liver, brain, and pleura were associated with the shortest median OS times (<18 months).

Because of smaller patient numbers in the pRCC and chrRCC cohorts, OS was calculated for only the 4 most common sites of metastases (lung, lymph nodes, bone, and liver). Compared with patients with ccRCC, patients with pRCC had inferior survival across all sites of metastasis. Conversely, patients with chrRCC generally had prolonged OS times compared with those with ccRCC, with the notable exception of those with lung involvement. Among patients with lung metastases, median survival was inferior for those with chrRCC compared with ccRCC (14.1 months [95% CI, 8.2-23.8 months] vs 25.1 months [24.1-26.0 months]; P < .001). The differences in OS did not reach significance in patients with liver metastases. OS results by site of metastasis and histologic profile are shown in Table 2.

Discussion

The results of our cohort study suggest that patterns of metastasis vary considerably among the 3 most common histologic subtypes of RCC and that sites of metastatic involvement are associated with survival. To our knowledge, these represent the largest cohorts to characterize sites of metastasis and report on outcomes specific to metastatic ccRCC, pRCC, and chrRCC.

For all 3 histologic variants, the 5 most common sites of metastatic involvement were the same: lungs, lymph nodes, bone, liver, and adrenals. However, the proportion of patients with metastases to each organ site often differed substantially between subtypes. For example, patients with metastatic ccRCC were nearly twice as likely to have lung metastases than patients with chrRCC, whereas the opposite was true in the case of liver metastases.

Our results are largely consistent with prior data reported for each histologic subtype. Table 3 summarizes rates of metastatic site involvement from a range of prospective and retrospective series of patients with metastatic ccRCC,12,13,19-21 pRCC,22,23 and chrRCC.24 There is notable consistency of our data with that of previously reported randomized clinical trials and retrospective studies.

Of these prior studies, 2 retrospective observational studies conducted by Chandrasekar et al13 and Bianchi et al12 were least in keeping with our data, particularly when considering the reported rates of lung metastases. However, we note several key differences in study design that may explain these discrepancies. Namely, both studies were not specific to patients with ccRCC, used population-level administrative databases (Surveillance, Epidemiology and End Results and the Nationwide Inpatient Sample, respectively) reliant on diagnostic codes to identify metastatic sites, and did not specifically collect data at the time of initiating first-line systemic therapy for metastatic disease. Additionally, in the latter study,12 metastatic disease in the retroperitoneum and/or mediastinum was recorded separately from other lymph node metastases, which may at least partially explain the unusually low lymph node metastasis rate. We are encouraged that our data appear to align well with results from landmark prospective randomized clinical trials in ccRCC.19-21

In this study, patients with metastases to pleura, brain, liver, and bone were associated with the shortest median OS values. The latter 3 sites are well-known to be associated with inferior survival in mRCC,16 with the pleural site of metastasis representing a new finding. Conversely, although relatively infrequent, metastases to endocrine organs (pancreas, thyroid, adrenal) were noted to be associated with favorable OS outcomes. This result is consistent with prior data from smaller select cohorts.14,25,26 The prolonged OS times seen especially in patients with pancreas and thyroid metastases suggest favorable disease biology in this cohort of patients.

Indeed, elegant work from the TRACERx Renal Consortium has demonstrated that the clinical diversity of mRCC is underpinned by varied patterns of cancer evolution.27 Here, patients with pancreatic metastases were noted to have a significantly lower genome instability index compared with all other metastatic tissue sites, which may be related to their excellent clinical outcomes. Other groups have also reported on the unique biological profile of ccRCC that has metastasized to the pancreas.28

We were surprised to note the striking difference in OS for patients with metastatic chrRCC with metastases to the lungs (14 months) vs lymph nodes, bone and liver (26-28 months) (Table 2). This was especially notable given that patients with ccRCC or pRCC and metastases to the lungs in our study in fact had the longest median OS of these sites. These findings may be in part due to methodologic limitations, true differences in underlying disease biology, or both. From a study design perspective, patients with indolent chrRCC tumors involving the lungs may have been preferentially selected for local therapies (eg, metastasectomy), resulting in a bias toward patients with poorer prognosis starting systemic therapy. However, there are also data suggesting that patients with chrRCC and lung metastases may have unique disease biology compared with other sites of metastases. A recent study of 109 patients with metastatic chrRCC found that patients with pulmonary metastases had a higher rate of sarcomatoid differentiation (49%) than other sites of metastasis, including lymph nodes, bone, and liver (29%, 15% and 20%, respectively).24 To evaluate these findings, we performed a similar post-hoc exploratory analysis of our own cohort of patients with chrRCC and found similar results, with rates of sarcomatoid differentiation among patients with metastatic chrRCC and involvement of lung, lymph nodes, bone and liver to be 38%, 23%, 14% and 18%, respectively. Further efforts to investigate whether these preliminary and unexpected results are supported by data from other cohorts are recommended.

Brain metastases represent a specific site of interest because they are generally associated with a very poor prognosis, high degree of morbidity, require dedicated assessment (ie, are not captured on routine cross-sectional body imaging), and are relatively unresponsive to conventional systemic therapy. The 8% rate of brain involvement in ccRCC, as well as the lower rate of brain metastasis in pRCC and chrRCC noted in our study, are consistent with prior data.12,13,29,30 The very low rate of brain metastasis in pRCC (3%) and chrRCC (2%) suggests that screening asymptomatic patients for brain metastasis in these groups may be of less value than in patients with ccRCC. However, it should be noted that the actual rate of brain metastasis may be higher than what is reported here, as small or asymptomatic brain metastases may not have been detected if routine brain imaging was not performed.

Compared with our anticipated proportions of histologic variants based on data from localized RCC, our observed rates of pRCC (7%) and chrRCC (2%) were lower than expected. This finding may in part be explained by the previously demonstrated tendency of localized nonclear cell histologic variants to have a lower risk of recurrence and/or death following surgical resection, resulting in skewed proportions in our cohort consisting exclusively of patients with metastatic disease.8,9,31 In addition, the smaller proportions of patients with pRCC and chrRCC in our study could also in part be impacted by the fact that our cohort only included those who initiated systemic therapy. Patients with these histologic subtypes may have been less likely to receive systemic therapy as the efficacy of current standard of care treatments for mRCC is generally thought to be inferior in non–clear cell variants.32

Strengths and Limitations

Strengths of our study include the very large sample size, international multicenter nature, consistency of results with previously reported figures, and detailed individual medical record review for each patient resulting in highly granular and reliable data. Furthermore, given the large sample size we were able to report on outcomes for rare cohorts including patients with pRCC and chrRCC, in addition to less common sites of metastasis in ccRCC. This is also the first study, to our knowledge, to compare rates of metastatic site involvement across histologic variants from a single cohort.

There are several important limitations to our study. First, the IMDC database only includes patients with mRCC who have started systemic treatment for metastatic disease. Thus, patients who have metastatic disease managed by alternate strategies, including active surveillance, metastasis-directed therapy (eg, metastasectomy, stereotactic body radiotherapy), and/or best supportive care alone, and never start systemic therapy are not captured. Therefore, there are likely minor groups of patients with relatively indolent disease (active surveillance and metastasis-directed therapy groups) or highly aggressive disease (best supportive care group) that were not included. In particular, this limitation could result in a bias toward underestimating the rates of highly favorable sites of metastasis (eg, pancreas, thyroid) and those with very poor prognosis (eg, brain). Second, there were some sites of metastasis that were not captured, including soft tissue (skin, muscle, adipose tissue) and parotid gland metastases, as well as perinephric locoregional recurrences. Third, although the number of sites of metastatic involvement were collected and presented, the total number of metastatic lesions per patient were not captured. Fourth, we were unable to separate pRCC into its known pathologically and genetically distinct subtypes, type 1 and type 2.32 Fifth, we were not able to report on which baseline staging investigations were performed in each patient. Given that the routine use of certain baseline staging investigations likely varies between practitioners and institutions (eg, cross-sectional brain imaging and dedicated bone imaging), there were likely inconsistencies in practice patterns that might have resulted in the underestimation of rates of metastatic site involvement.

Conclusions

In this cohort study, sites of metastatic involvement differed on the basis of histologic subtype in mRCC and were associated with OS. These data highlight the clinical and biological variability between histologic subtypes of mRCC. Metastases to endocrine organs are infrequent but are associated with the longest median OS, whereas metastases to pleura, brain, liver, and bone are associated with poor OS. These benchmark values are useful for patient counseling and study design. Further research to characterize differences in immune, molecular, and genetic profiles between metastatic sites and histologic subtypes is encouraged.

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Article Information

Accepted for Publication: August 12, 2020.

Published: January 21, 2021. doi:10.1001/jamanetworkopen.2020.21869

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Dudani S et al. JAMA Network Open.

Corresponding Author: Daniel Y. C. Heng, MD, MPH, FRCPC, Tom Baker Cancer Centre, University of Calgary, 1331 29th St NW, Calgary, Alberta T2N 4N2, Canada (daniel.heng@albertahealthservices.ca).

Author Contributions: Drs Dudani and Heng had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Dudani, de Velasco, Wells, Pasini, Pal, Heng.

Acquisition, analysis, or interpretation of data: Dudani, de Velasco, Wells, Gan, Donskov, Porta, Fraccon, Pasini, Lee, Hansen, Bjarnason, Beuselinck, Yuasa, Kroger, Kanesvaran, Reaume, Canil, Choueiri, Heng.

Drafting of the manuscript: Dudani, Pasini, Pal, Heng.

Critical revision of the manuscript for important intellectual content: Dudani, de Velasco, Wells, Gan, Donskov, Porta, Fraccon, Lee, Hansen, Bjarnason, Beuselinck, Pal, Yuasa, Kroger, Kanesvaran, Reaume, Canil, Choueiri, Heng.

Statistical analysis: Dudani, Wells, Heng.

Administrative, technical, or material support: Dudani, de Velasco, Gan, Porta, Yuasa, Kroger, Kanesvaran, Choueiri, Heng.

Supervision: Lee, Hansen, Choueiri, Heng.

Conflict of Interest Disclosures: Dr de Velasco reported receiving grants and personal fees from Pfizer, Roche, and Ipsen; and personal fees from Bristol-Myers Squibb, Astellas, Janssen, Bayer, Merck, and MSD outside the submitted work. Dr Wells reported receiving personal fees from Pfizer outside the submitted work. Dr Donskov receiving reported grants from Pfizer, Ipsen, and MSD outside the submitted work. Dr Porta reported receiving personal fees from Bristol-Myers Squibb, MSD, Astra Zeneca, Pfizer, Novartis, Ipsen, EUSA, Eisai, General Electric, and Roche outside the submitted work. Dr Hansen reported receiving grant/research support from Novartis, Bristol-Myers Squibb, Genetech, AstraZeneca/Medimmune, Merck, Karyopharm, GSK, Boerhinger-Ingelheim, Pfizer, and Roche; and receiving consultant/advisory arrangements from Merck (compensated), GSK (compensated), Bristol-Myers Squibb (uncompensated), and Eisai (compensated) outside the submitted work. Dr Beuselinck reported receiving consultancy fees from Bristol-Myers Squibb, Pfizer, Merck, and AstraZeneca; speaker fees from Bristol-Myers Squibb, Merck; and research grants from Bristol-Myers Squibb, all outside the submitted work. Dr Pal reported receiving personal fees from Genentech, Aveo, Eisai, Roche, Pfizer, Novartis, Exelixis, BMS, Ipsen, and Astellas outside the submitted work. Dr Kanesvaran reported receiving grants and personal fees from MSD, Bristol-Myers Squibb, Eisai, Ipsen, and Pfizer outside the submitted work. Dr Reaume reported receiving personal fees from Bayer, Pfizer, Bristol-Myers Squibb, Astra Zeneca, Novartis, Eisai, Ipsen, Merck, and Roche during the conduct of the study. Dr Canil reported receiving personal fees from Bayer, Janssen, Pfizer, Ipsen, Bristol-Myers Squibb, Roche, Eisai, and AstraZeneca; and education travel grants from Sanofi Genzyme, Janssen, Pfizer, and Amgen. Dr Choueiri reported receiving grants and personal fees from AstraZeneca, Bristol-Myers Squibb, Merck, Exelixis, Roche, Pfizer, and Novartis during the conduct of the study; grants, personal fees, and nonfinancial support from Pfizer, grants from Exelixis, Bristol-Myers Squibb, Merck, Roche/Genentech, and grants, personal fees from Novartis outside the submitted work. Dr Heng reported receiving grants from Pfizer, Novartis, Bristol-Myers Squibb, Ipsen, Merck, and Eisai outside the submitted work. No other disclosures were reported.

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