Systemic Immunological Determinants of Oncological Outcomes After Surgery for Localized Renal Cell Carcinoma.

INTRODUCTION & OBJECTIVES: In systemic therapy trials, a decreasing neutrophil-to-lymphocyte ratio (NLR) after treatment for metastatic renal cell carcinoma (RCC) has been associated with improved oncologic outcomes. Paradoxically, for patients with localized RCC treated with upfront surgery the opposite effect has been reported. We thus aimed to evaluate NLR dynamics on localized RCC recurrence. MATERIALS AND METHODS: Treatment naïve patients with localized RCC managed surgically between 2005 and 2020 were included. Preoperative NLR was calculated within 6-weeks prior to surgery and postoperative NLR was calculated between 4 and twelve-weeks after surgery. Patients were followed for disease recurrence, noting metastatic sites and postoperative infections. Cox regression were used to determine whether the relative change in postoperative NLR was associated with metastasis-free survival (MFS) and cancer-specific survival (CSS), adjusted for preoperative NLR. RESULTS: In the cohort of 3310 patients, 996 (30%) had postoperative NLR available. These patients generally had more advanced disease, with 100 developing metastases and 38 dying from kidney cancer. Median MFS follow-up was 4.4 years. Decreasing 2-month postoperative NLR was associated with non-statistically significant worse MFS and CSS (HR 0.79, 95% 0.50, 1.24, P = .3; HR 0.83, 95% C.I. 0.40, 1.73; P = .6). On sensitivity analysis, across all NLR measurements, with NLR as a time-dependent covariate, results were similar, with a declining NLR associated with adverse MFS (HR 0.85, 95% CI 0.69, 1.30, P-value = .10), though not meeting conventional levels of significance. CONCLUSION: In higher-risk localized RCC patients, postoperative NLR is not suitable as a biomarker for predicting recurrences.

Genomic and Metabolic Hallmarks of SDH- and FH-deficient Renal Cell Carcinomas.

BACKGROUND: Succinate dehydrogenase-deficient and fumarate hydratase-deficient renal cell carcinomas (SDHRCC and FHRCC) are rare kidney cancers driven by loss of TCA cycle enzymes. OBJECTIVE: To define and compare the genomic and metabolomic hallmarks of SDHRCC and FHRCC. DESIGN, SETTING, AND PARTICIPANTS: We analyzed SDHRCC and FHRCC tumors with either immunohistochemical evidence of loss of protein expression or genomically confirmed biallelic inactivation of SDHA/B/C/D/AF2 or FH. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Somatic alterations were identified using clinical pipelines, with allele-specific copy number alterations (CNAs) identified using FACETS. Mass spectrometry-based metabolomic profiling was performed on available SDHRCC and FHRCC tumors. RESULTS AND LIMITATIONS: Tumors were analyzed for 42 patients (25 FHRCC, 17 SDHRCC). In the germline analysis, 16/17 SDHRCCs harbored a germline alteration in SDHB, whereas only 17/22 FHRCCs had pathogenic germline FH variants. SDHRCCs had a lower mutation burden (p = 0.02) and CNA burden (p = 0.0002) than FHRCCs. All SDHRCCs presented with deletion of chromosome 1p (overlapping SDHB), whereas FHRCCs demonstrated high but not ubiquitous loss of 1q (FH locus). Both SDHRCCs and FHRCCs exhibited significant idiopathic accumulation of the metabolite guanine. FHRCC tumors had elevated levels of urea cycle metabolites (argininosuccinate, citrulline, and fumarate), whereas SDHRCC tumors had elevation of numerous acylcarnitines. These characteristic metabolic changes allowed identification of a previously unrecognized SDH-deficient RCC. CONCLUSIONS: Despite sharing similar genetic etiology, SDHRCC and FHRCC represent distinct molecular entities with unique genetic and metabolic abnormalities. PATIENT SUMMARY: Kidney cancers driven by loss of the gene encoding either the succinate dehydrogenase or fumarate hydratase enzyme are rare. We sought to define and compare the genetic and metabolic features of these cancer entities.

Resource-efficient pooled sequencing expands translational impact in solid tumors.

Intratumoral genetic heterogeneity (ITH) poses a significant challenge to utilizing sequencing for decision making in the management of cancer. Although sequencing of multiple tumor regions can address the pitfalls of ITH, it does so at a significant increase in cost and resource utilization. We propose a pooled multiregional sequencing strategy, whereby DNA aliquots from multiple tumor regions are mixed prior to sequencing, as a cost-effective strategy to boost translational value by addressing ITH while preserving valuable residual tissue for secondary analysis. Focusing on kidney cancer, we demonstrate that DNA pooling from as few as two regions significantly increases mutation detection while reducing clonality misattribution. This leads to an increased fraction of patients identified with therapeutically actionable mutations, improved patient risk stratification, and improved inference of evolutionary trajectories with an accuracy comparable to bona fide multiregional sequencing. The same approach applied to non-small-cell lung cancer data substantially improves tumor mutational burden (TMB) detection. Our findings demonstrate that pooled DNA sequencing strategies are a cost-effective alternative to address intrinsic genetic heterogeneity in clinical settings.