AI Article Synopsis

  • The study analyzed the prognostic score from the Memorial Sloan Kettering Cancer Center (MSKCC) in relation to blood mRNA expression in metastatic clear cell renal cell carcinoma (mCCRCC) patients.
  • In a discovery phase with 19 patients, researchers identified 18 candidate genes associated with overall survival through RNA sequencing, and further validated their findings in an independent group of 47 patients using a customized probeset.
  • The analysis revealed that two specific genes significantly improved survival predictions alongside the MSKCC score, indicating that whole blood mRNA profiling could enhance prognostic assessments for mCCRCC and warrants further research.

Article Abstract

The Memorial Sloan Kettering Cancer Center (MSKCC) prognostic score is based on clinical parameters. We analyzed whole blood mRNA expression in metastatic clear cell renal cell carcinoma (mCCRCC) patients and compared it to the MSKCC score for predicting overall survival. In a discovery set of 19 patients with mRCC, we performed whole transcriptome RNA sequencing and selected eighteen candidate genes for further evaluation based on associations with overall survival and statistical significance. In an independent validation of set of 47 patients with mCCRCC, transcript expression of the 18 candidate genes were quantified using a customized NanoString probeset. Cox regression multivariate analysis confirmed that two of the candidate genes were significantly associated with overall survival. Higher expression of [hazard ratio (HR) of 0.14, < 0.0001, 95% confidence interval (CI) 0.04-0.36] and (HR 0.13, < 0.0001, 95% CI 0.05-0.34) were associated with better prognosis. A prognostic model incorporating expression of and into the MSKCC score improved prognostication significantly over a model using the MSKCC prognostic score only ( < 0.0001). Prognostic value of using whole blood mRNA gene profiling in mCCRCC is feasible and should be prospectively confirmed in larger studies.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713295PMC
http://dx.doi.org/10.3390/ijms18112326DOI Listing

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