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Ed Reznik

Publications and source records attributed to Ed Reznik.

2 recordsLinked to original sources

Long-term oncologic outcomes of metastatic clear-cell renal cell carcinoma after local therapy alone.

PURPOSE: Oligometastatic clear-cell renal cell carcinoma (ccRCC) represents a heterogeneous entity that can, in select cases, be managed with primary tumor resection and complete local treatment at all metastatic sites, rendering a patient metastatic with no evidence of disease (M1 NED). M1 NED patients have improved overall survival, although previous cohorts are relatively small and heterogeneous. We sought to identify the natural history of M1 NED ccRCC to clinical trial findings and to optimize management strategies. MATERIALS AND METHODS: Patients with synchronous metastatic ccRCC treated with local therapy alone and considered radiographically M1 NED at our institution between 1989 and 2023 were retrospectively evaluated. Survival probabilities used a combination of Kaplan-Meier estimator, log-rank test, and multivariable Cox proportional hazards regression. When available, limited genomic data obtained using the MSK-IMPACT targeted panel was correlated with outcomes. RESULTS: 85 patients met inclusion criteria. One-year disease free survival (DFS) was 53% (95% CI: 42 to 63%). Sarcomatoid features predicted shorter DFS (HR 2.62, CI: 1.08, 6.34, P = 0.03). Time from first disease recurrence to second recurrence was longer among patients with initial DFS ≥2 years (median 42 vs. 15 months, log-rank P = 0.005). A total of 18 patients (21%) underwent targeted genomic sequencing; higher fraction of genome altered and CDKN2A copy number loss were associated with shorter DFS. Findings were limited by cohort size. CONCLUSIONS: Most M1 NED ccRCC patients will experience disease recurrence, although certain baseline risk factors appear to predict earlier recurrence. Prognostic biomarkers are needed to predict outcomes and facilitate patient management.

Humans

Pan-cancer analysis of biallelic inactivation in tumor suppressor genes identifies KEAP1 zygosity as a predictive biomarker in lung cancer.

The canonical model of tumor suppressor gene (TSG)-mediated oncogenesis posits that loss of both alleles is necessary for inactivation. Here, through allele-specific analysis of sequencing data from 48,179 cancer patients, we define the prevalence, selective pressure for, and functional consequences of biallelic inactivation across TSGs. TSGs largely assort into distinct classes associated with either pan-cancer (Class 1) or lineage-specific (Class 2) patterns of selection for biallelic loss, although some TSGs are predominantly monoallelically inactivated (Class 3/4). We demonstrate that selection for biallelic inactivation can be utilized to identify driver genes in non-canonical contexts, including among variants of unknown significance (VUSs) of several TSGs such as KEAP1. Genomic, functional, and clinical data collectively indicate that KEAP1 VUSs phenocopy established KEAP1 oncogenic alleles and that zygosity, rather than variant classification, is predictive of therapeutic response. TSG zygosity is therefore a fundamental determinant of disease etiology and therapeutic sensitivity.

Kelch-Like ECH-Associated Protein 1