Complimentary transcriptomic-metallomic analysis identifies risk of relapse for clear-cell renal cell carcinoma (ccRCC) patients.

Abstract

378 Background: Patients with localized or locally advanced ccRCC undergo surgical resection by partial or radical nephrectomy. Approximately 50% of tumors recur within five years after surgery. Currently the only FDA approved drug in the adjuvant setting is sunitinib. However, the absence of an overall survival benefit and the prevalence of side effects limit widespread use of sunitinib. Accurate identification of patients at high risk of recurrence would enhance targeted adjuvant therapy, while sparing low-risk patients from side effects. A single scoring system, transcriptomic signature or genomic classifier, is unlikely to accurately define prognosis. Here, we describe an integrated transcriptomic-metallomic classifier to assess the risk of relapse in localized ccRCC. Methods: We investigated the transcriptomic landscape of Caucasian male patients with stage III ccRCCs who remained disease free (S3DF) or relapsed (S3RL) within 24 months after surgery using the TCGA Firehose Legacy cohort. In a separate cohort of S3RL and S3DF ccRCCs, copper (Cu) content and molecular distribution were analyzed by size exclusion chromatography coupled to inductively coupled plasma mass spectrometry (SEC-ICP-MS). Results: Transcriptomic analysis identified that S3RL tumors were enriched for genes encoding subunits of mitochondrial electron transport chain (ETC) and mitochondrial ribosomal proteins (MRPs), an indication that mitochondrial activity may contribute to the relapse. In contrast, S3DF tumors were enrichedfor genes related to immune responses, including genes encoding members ofMHC-II, suggesting tumor control by the immune system. We established a setof 23 genes (23G) as a signature that stratified ccRCCsinto distinct groups characterized by low, intermediateand high risk of relapse after surgery. Importantly, SEC-ICP-MS analysis identified augmented distribution of Cu to the Cu cytochrome c oxidase complex (Cu-COX) in tumor mitochondria from S3RL, consistent with the prediction of increased ETC activity in the transcriptomic analysis. Conclusions: Integration of the 23G transcriptomic signature and Cu-COX complex measurements in locoregional ccRCC can serve as a prognostic biomarker for recurrence, and as a predictive classifier for novel treatments, including inhibitors of ETC for the S3RL tumors. In particular, a combination classifier using both measurements may have a stronger prognostic/predictive power as compared to either biomarker alone.