Molecular profile and clinical outcomes of renal cell carcinoma brain metastases treated with stereotactic radiosurgery.

Authors

null

Jennifer Ma

Memorial Sloan Kettering Cancer Center, New York, NY

Jennifer Ma , Luke del Balzo , Sari Safaa Khaleel , Jessica Flynn , Zhigang Zhang , Martin H Voss , Benjamin Freeman , A. Ari Hakimi , Chung-Han Lee , Jordan Eichholz , Daniel W. Kelly , Jonathan T. Yang , Boris Mueller , Maria Isabel Carlo , Robert J. Motzer , Brandon S. Imber , Kathryn Beal , Nelson S. Moss , Ritesh Kotecha , Luke Roy George Pike

Organizations

Memorial Sloan Kettering Cancer Center, New York, NY, Medical College of Georgia, Augusta, GA, Memorial Sloan-Kettering Cancer Center-Fellowship (GME Office), New York, NY, Memorial Sloan-Kettering Cancer Center, Tarrytown, NY, Massachusetts General Hospital, Boston, MA

Research Funding

No funding received

Background: Molecular profiles of renal cell carcinoma (RCC) tumors are associated with systemic treatment (ST) responses and clinical outcomes. However, the molecular profiles of RCC brain metastases (BM) and their correlation with ST response and clinical outcomes are not well characterized. Effective management of BM with locoregional therapies including stereotactic radiosurgery (SRS) is critical as ST advances have improved overall survival (OS). Therefore, we sought to identify the clinical and genomic features of RCC BM in a large cohort of patients treated with SRS. Methods: We performed an institutional retrospective analysis of RCC BM patients treated with SRS and evaluated corresponding genomic next generation sequencing (NGS) data via a targeted sequencing panel (MSK-IMPACT). A comparison cohort of all institutional patients with available NGS data was utilized to investigate genes enriched in our BM cohort using Fisher exact testing. Kaplan Meier analyses were performed for OS and intracranial progression-free survival (iPFS). Clinical factors and genes mutated in ≥ 10% of samples were assessed per patient using Cox proportional hazards models, and per individual BMs using clustered competing risks regression with a competing risk of death. Results: From 2010-2021, 91 RCC BM patients underwent SRS for 212 BMs, including 86% clear cell and 14% non-clear cell RCC. NGS data was available for 76 patients (84%), including 18 resected BMs, 26 extra-cranial metastatic lesions (EM), and 32 primary kidney tumors (Table 1). Median follow-up was 3.2 years with median OS of 21 months (m) and median iPFS of 7.8m. Karnofsky performance status ≥80 and extracranial disease control were significantly associated with improved OS on multivariable analyses (MVA; p=0.049 and 0.01, respectively). No clinical variables were significantly associated with iPFS on MVA. At the BM level, SETD2 alterations approached significance for improved iPFS (HR=0.35; 95%CI 0.11, 1.05; p=0.06). Enrichment in SMARCA4 alterations was seen in the BM cohort as compared to primary kidney and EM samples from patients without BM (17% vs 1% vs 2%, p<0.05). Conclusions: To our knowledge, this is the largest study investigating mutational profiles of RCC BM. SMARCA4 alterations were enriched in BM samples and a trend towards improved iPFS was seen in SETD2 variant BMs, warranting further investigation.

Targeted sequencing results of the five most frequently mutated genes in our BM cohort compared to an institutional cohort of genomic NGS data of all patients with primary RCC or with extracranial lesions without BM.

Gene
Brain Metastases Cohort (n=76)
Non-BM Comparison Cohort: Primary Kidney (n=468)
Non-BM Comparison Cohort: Extracranial Metastases (n=260)
VHL
72%
74%
84%
PBRM1
56%
39%
32%
SETD2
39%
21%
20%
SMARCA4
17%
1%*
2%*
BAP1
22%
16%
8%

*statistically significant (p≤0.05) by Fisher exact testing.

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Abstract Details

Meeting

2022 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Genitourinary Cancer—Kidney and Bladder

Track

Genitourinary Cancer—Kidney and Bladder

Sub Track

Kidney Cancer

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr 4526)

DOI

10.1200/JCO.2022.40.16_suppl.4526

Abstract #

4526

Poster Bd #

17

Abstract Disclosures

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