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Updated: Jul 24, 2025

Immunometabolic Circuits in Infection for Advancing Host Directed Therapies
Published on: September 13, 2024
Immunometabolic coevolution defines unique microenvironmental niches in ccRCC
Cerise Tang1, Amy X Xie2, Eric Minwei Liu3
1Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Physiology, Biophysics and Systems Biology Graduate Program, Weill Cornell Medicine, New York, NY, USA.
Intratumoral metabolite heterogeneity (IMH) in clear cell renal cell carcinoma (ccRCC) correlates with ferroptosis and immune cell abundance. Metabolite biomarkers inferred from RNA sequencing predict response to anti-angiogenic therapy.
Area of Science:
- Oncology
- Metabolomics
- Immunology
Background:
- Tumor cell phenotypes and anti-tumor immunity depend on local metabolite availability.
- Intratumoral metabolite heterogeneity (IMH) and its consequences are not well understood.
Purpose of the Study:
- To investigate IMH in clear cell renal cell carcinoma (ccRCC).
- To identify metabolite biomarkers associated with therapeutic response.
Main Methods:
- Profiling of tumor and normal tissues from ccRCC patients.
- Analysis of intratumoral metabolite-RNA covariation.
- Inference of metabolomic profiles from RNA sequencing data of ccRCC patients in clinical trials.
Main Results:
- A common IMH pattern characterized by ferroptosis-associated metabolites was observed across patients.
- Immune cell composition, particularly myeloid cells, drove intratumoral metabolite variation.
- Metabolite biomarkers associated with response to anti-angiogenic agents were identified.
Conclusions:
- Local metabolic phenotypes are linked to the immune microenvironment and influence tumor evolution.
- Metabolomic profiles inferred from RNA sequencing can identify biomarkers for therapeutic sensitivity in ccRCC.
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