The genomic landscape of metastatic clear cell renal cell carcinoma (ccRCC) after treatment with systemic therapy.

Authors

Johannes van der Mijn

Johannes Van Der Mijn

Weill Cornell Medicine, New York City, NY

Johannes Van Der Mijn , Kenneth Eng , Evan Fernandez , Clara Oromendia , Tuo Zhang , Rohan Bareja , Sinan Ramazanoglu , Aram Vosoughi , Lorraine J. Gudas. , Olivier Elemento , Scott T. Tagawa , Bishoy Morris Faltas , David M. Nanus , Himisha Beltran , Juan Miguel Mosquera , Andrea Sboner , Ana M. Molina

Organizations

Weill Cornell Medicine, New York City, NY, Weill Cornell Medicine, New York, NY, Department of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medical College, New York, NY, Weill Cornell Graduate School of Medical Sciences, New York, NY, Sandra and Edward Meyer Cancer Center, New York, NY, Weill Cornell Medical College, New York, NY, Department of Pathology & Laboratory Medicine, Englander Institute for Precision Medicine, Weill Cornell Medical College & New York-Presbyterian Hospital, New York, NY, Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY

Research Funding

Other Foundation

Background: The most frequent genomic alterations in patients (pts) with ccRCC have been identified in primary tumors. Here we investigated the genomic landscape of ccRCC in a cohort enriched for metastatic tumors after treatment with systemic therapy. Methods: We prospectively enrolled pts with ccRCC in a clinical study in which Whole-Exome Sequencing (WES) of normal and tumor tissue was performed. Clinical features, treatment outcome and survival were evaluated. Results: Forty-five pts with ccRCC with a median age of 65 years (range 38–86) were enrolled. According to the Heng risk criteria, 15 pts (33.3%) were classified as favorable-risk 23 pts (51.1%) were intermediate-risk and 7 pts (15.6%) were poor-risk. Pts received a median number of 3 lines (range 0–9) of therapy including cytokines (n=7), anti-VEGF (n=36), mTOR inhibitors (n=10) and/or immune checkpoint inhibitors (n=23). The median progression free survival (PFS) after treatment was 3.5 months (0.7-13.1), 11.1 months (1.1–54.2), 2.7 months (0.7-36.2) and 4.9 months (1.4–29.2) after cytokines, VEGF-, mTOR- and immune checkpoint inhibitors, respectively. The median overall survival (OS) from start of treatment to last follow up was 2.2 years (range 0.2–14.9 years). A total of 68 samples were sequenced. These included 9 (12.5%) primary tumors, 38 (55.9%) collected after treatment with anti-VEGF, 16 (23.5%) after mTOR- and 8 (11.8%) after immune checkpoint inhibitor. VHL, KDM5C, SETD2 and PBRM1 were the most frequent somatic mutations detected in this cohort. In two cases with a short and long response to VEGF targeted therapy (PFS 2.8 versus 50.3 months) rapid autopsies were performed which allowed multiregional (n=7, n=4) sampling. The multiregional sequencing in the rapid autopsy case with a prolonged response to VEGF targeted therapy revealed recurrent KDM5C mutations. Conclusions: We present the genomic landscape of metastatic ccRCC after treatment with systemic therapy. We report an increased frequency of KDM5C mutations, previously described to be associated with a favorable response to VEGF-inhibitors.

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Abstract Details

Meeting

2019 Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session C: Renal Cell Cancer

Track

Renal Cell Cancer

Sub Track

Renal Cell Cancer

Citation

J Clin Oncol 37, 2019 (suppl 7S; abstr 675)

DOI

10.1200/JCO.2019.37.7_suppl.675

Abstract #

675

Poster Bd #

K6

Abstract Disclosures