Assessing the clinical use of clear cell renal cell carcinoma molecular subtypes identified by RNA expression analysis

Urologic Oncology
Jeanette E Eckel-PassowAlexander S Parker


To evaluate the clinical use of recently published RNA-based molecular subtyping algorithms. Patients who undergo surgery for clinically localized clear cell renal cell carcinoma can experience very different outcomes, representing a longstanding challenge for the practicing urologist. Two recent publications suggest that molecular subtyping based on the expression of large panels of genes can help clinically localized clear cell renal cell carcinoma prognostication; however, the analyses was not adjusted for routinely collected clinicopathologic indices. We obtained level 3 RNA-seq RPKM data and corresponding clinicopathologic features from The Cancer Genome Atlas (TCGA) and assigned patients to the TCGA subtypes as well as to the ccA/ccB subtypes. To determine the prognostic ability of molecular subtyping after adjusting for variables that are collected as routine medical care, we used Cox models and adjusted for the composite Mayo stage, size, grade, and necrosis (SSIGN) score. Both the TCGA and the ccA/ccB subtypes are significantly associated with tumor size, category, grade, and presence of necrosis. The association of these subtypes with overall survival is markedly attenuated following adjustment for the composite Mayo ...Continue Reading


Oct 21, 2017·International Journal of Molecular Sciences·Kentaro Inamura
Feb 15, 2018·Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology·Soum D LokeshwarVinata B Lokeshwar

❮ Previous
Next ❯

Related Concepts

Related Feeds

Adenocarcinoma, Clear Cell

Clear Cell Adenocarcinoma is a tumor that arises in the female genital tract and is characterized by cells that appear clear under the microscope. Discover the latest research here.

Cancer Genomics (Keystone)

Cancer genomics approaches employ high-throughput technologies to identify the complete catalog of somatic alterations that characterize the genome, transcriptome and epigenome of cohorts of tumor samples. Discover the latest research using such technologies in this feed.