Genome-Wide Profiling of TRACK Kidneys Shows Similarity to the Human ccRCC Transcriptome

Leiping Fu1, Denise R Minton1, Tuo Zhang2

  • 1Department of Pharmacology, Weill Cornell Medical College (WCMC) of Cornell University, New York, New York. Weill Cornell Meyer Cancer Center, Weill Cornell Medical College (WCMC) of Cornell University, New York, New York.

Abstract

Insights

The TRAnsgenic model of Cancer of the Kidney (TRACK) mouse model mimics human clear cell renal cell carcinoma (ccRCC) by showing similar gene expression, particularly in metabolic pathways. This highlights HIF1α

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Renal cell carcinoma (RCC), particularly clear cell RCC (ccRCC), is a significant adult kidney cancer.
  • The TRAnsgenic model of Cancer of the Kidney (TRACK) mouse model utilizes a human HIF1α triple-mutant construct in kidney proximal tubule cells to replicate early-stage ccRCC histology.

Purpose of the Study:

  • To investigate the genomic landscape of the TRACK mouse model.
  • To compare the transcriptomic profiles of the TRACK mouse model with human ccRCC.

Main Methods:

  • High-throughput sequence analysis (RNAseq) of cDNA libraries from TRACK transgenic positive (TG(+)) kidney cortex.
  • Analysis of human ccRCC transcripts from the Oncomine and The Cancer Genome Atlas databases.

Main Results:

  • TRACK TG(+) kidneys exhibit significant similarities to human ccRCC expression profiles.
  • Overexpression of genes involved in glycolysis and the tricarboxylic acid cycle was observed in both TRACK TG(+) kidneys and human ccRCC.
  • Specific overexpressed transcripts include ANKRD37, CA9, EGLN3, HK2, NDUFA4L2, and SLC16A3.

Conclusions:

  • Constitutive HIF1α activation in kidney proximal tubule cells transcriptionally reprograms metabolic pathways.
  • HIF1α plays a major role in the altered metabolism characteristic of human ccRCC.
  • TRACK mouse model mRNA profiles align with human ccRCC transcriptome and Warburg effect phenotypes.