THE REZNIK LAB

COMPUTATIONAL CANCER METABOLISM
MEMORIAL SLOAN KETTERING CANCER CENTER

About Our Lab

Our lab skews toward the overlooked, the misunderstood, and the assumed, and we believe the most provocative and exciting science can often lurk in the darkest corner. We strive to be an inclusive, diverse, and scientifically ethical one, and to harness the different intellectual perspectives of our members to think deeply about how cellular metabolism works inside of a tumor.

  • Mission

    Our goal is to discover new metabolic phenomena in cancer, understand their genetic/physical basis, and translate discoveries to ultimately improve the lives of cancer patients

  • Vision

    We work to achieve our goals through collaboration with experimental biologists and physicians and by thinking about how to distill basic principles from large, complicated, and confounded metabolic measurements.

  • Science

    Our research draws on multimodal genetic, metabolomic, and clinical data to understand how metabolic adaptations confer selective advantages to tumors, serve as biomarkers of response and resistance to therapy, and poise tumors for effective targeted intervention.

Our Favorite Stories

Respiratory complex and tissue lineage drive recurrent mutations in tumour mtDNA

Nature Metabolism, 2021

An investigation of how the mitochondrial genome is frequently and functionally disrupted across many cancers, with major implications for patient stratification, prognosis and therapeutic development.

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Phase and context shape the function of composite oncogenic mutations

Nature, 2020

A discussion of how composite mutations, which are found in nearly one in four human tumors, are driver alterations that arise from context- and allele-specific selective pressures, and lead to complex functions of biological and therapeutic importance.

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Mitochondrial DNA copy number variation across human cancers

eLife, 2016

A survey of mtDNA copy number variation across 22 tumor types profiled by The Cancer Genome Atlas project that highlights the extent of mtDNA copy number variation in tumors and points to related therapeutic opportunities. The results highlight the extent of mtDNA copy number variation in tumors and point to related therapeutic opportunities

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A Landscape of Metabolic Variation across Tumor Types

Cell Systems, 2018

A computational framework for making metabolomics data from different laboratories play nice, and the discovery of common metabolic signatures of aggressive disease across many cancer types.

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Mitonuclear genotype remodels the metabolic and microenvironmental landscape of Hürthle cell carcinoma

Science Advances, 2022

An analysis of genomic, metabolomic, and immunophenotypic data of HCC and other thyroid cancers.

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Flux imbalance analysis and the sensitivity of cellular growth to changes in metabolite pools

PLOS Computational Biology, 2013

Deviations from flux balance are informative of in vivo metabolite concentrations, suggesting that the sensitivity of metabolic optima to violations of steady state constraints carries biologically significant information on the processes that control intracellular metabolites in the cell.

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Genome-Scale Architecture of Small Molecule Regulatory Networks and the Fundamental Trade-Off between Regulation and Enzymatic Activity

Cell Reports, 2017

Reconstruction and analysis of the small molecule regulatory network (SMRN) of the model organism Escherichia coli. Metabolic control analysis indicates a fundamental trade-off between regulation and enzymatic activity, which is combined with metabolomic measurements and the SMRN to make inferences on the sensitivity of enzymes to their regulators.

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An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma

Cancer Cell, 2016

Metabolic profiling of 138 matched clear cell renal cell carcinoma (ccRCC) pairs found that ccRCC is characterized by broad shifts in central carbon metabolism, one-carbon metabolism, and antioxidant response, and led to an integrated pathway-level metabolic atlas.

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