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Updated: Sep 3, 2026

Modeling Spontaneous Metastatic Renal Cell Carcinoma (mRCC) in Mice Following Nephrectomy
Published on: April 29, 2014
Renal cell carcinoma: molecular understanding and therapeutic development
Tao Hou1, Xiangmei Hua2, Wei Ni3,4
1Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Abstract:
Renal cell carcinoma (RCC) is a highly heterogeneous malignancy characterized by diverse molecular alterations and dynamic evolutionary trajectories. Advances in genomics and molecular profiling have shifted RCC management from morphology-based classification toward molecularly informed diagnosis and therapy. In this review, we integrate recent multi-omics and clinical advances to define the evolving biological and therapeutic landscape of RCC. We highlight how the 2022 WHO classification incorporates molecular features to refine pathological subtyping and summarize key driver genetic alterations underlying major RCC entities. We then discuss insights derived from multi-region sequencing studies, including TRACERx Renal, which demonstrate how intratumoral heterogeneity, branched evolution, and clonal selection shape disease progression and therapeutic resistance. We further examine subtype-specific metabolic programs, with particular emphasis on dysregulation of the AMPK-mTORC1 signaling axis and distinct metabolic dependencies across clear cell and non-clear-cell RCC. We additionally highlight cell death regulation and differentiation plasticity as integrative themes that connect molecular pathogenesis to therapeutic vulnerability, with sarcomatoid and rhabdoid dedifferentiation as a key example. Finally, we review the evolution of systemic therapies, from VEGF-targeted tyrosine kinase inhibitors to immune checkpoint-based combinations, and outline emerging strategies, including HIF-2α inhibition, PD-1/VEGF bispecific antibodies, and subtype-specific metabolic and epigenetic dependencies. Collectively, this review provides an integrated framework linking molecular evolution, metabolic reprogramming, and therapeutic development, with the goal of advancing biomarker-driven precision management in RCC.
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