Cited by 91Cancer, Hypoxia, and MetabolismChronic Lymphocytic Leukemia ResearchMetabolomics and Mass Spectrometry Studies

Metabolic plasticity in CLL: adaptation to the hypoxic niche

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Koczula, K M, Ludwig, C, Hayden, R, Cronin, L, Pratt, G, Parry, H, Tennant, D, Drayson, M +3 more·2016·Leukemia

Abstract

Metabolic transformation in cancer is increasingly well understood. However, little is known about the metabolic responses of cancer cells that permit their survival in different microenvironments. We have used a nuclear magnetic resonance based approach to monitor metabolism in living primary chronic lymphoid leukemia (CLL) cells and to interrogate their real-time metabolic responses to hypoxia. Our studies demonstrate considerable metabolic plasticity in CLL cells. Despite being in oxygenated blood, circulating CLL cells are primed for hypoxia as measured by constitutively low level hypoxia-inducible factor (HIF-1α) activity and modest lactate production from glycolysis. Upon entry to hypoxia we observed rapid upregulation of metabolic rates. CLL cells that had adapted to hypoxia returned to the 'primed' state when re-oxygenated and again showed the same adaptive response upon secondary exposure to hypoxia. We also observed HIF-1α independent differential utilization of pyruvate in oxygenated and hypoxic conditions. When oxygenated, CLL cells released pyruvate, but in hypoxia imported pyruvate to protect against hypoxia-associated oxidative stress. Finally, we identified a marked association of slower resting glucose and glutamine consumption, and lower alanine and lactate production with Binet A0 stage samples indicating that CLL may be divided into tumors with higher and lower metabolic states that reflect disease stage.

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  • Complex real-time and in vivo data require dedicated software to investigate them, and current data collection surpasses capacity to extract and interpret information effectively.

    “A limiting factor of the utilization of such unique tools is that complex real-time and in vivo data require dedicated software to investigate them, however nowadays this surge in data collection surpasses the current capacity to extract and interpret information effectively and computational tools are emerging.150–152”

    From Connecting metabolome and phenotype: recent advances in functional metabolomics tools for the identification of bioactive natural products (2024) · cites this paper as [150]

    The Materials and methods section (‘NMR time-course data analysis’; page unavailable) describes using several software packages to process and model real-time NMR data. It does not address in vivo data or say that data collection has outpaced the capacity to extract and interpret information; the Discussion describes the work as ex vivo. (LLM, conf=0.85)

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References 23 · Cited by 91

Authors
Koczula, K. M., Ludwig, C., Hayden, R., Cronin, L., Pratt, G., Parry, H., Tennant, D., Drayson, M., Bunce, C. M., Khanim, F. L., & Günther, U. L.
Affiliations
  • University of Birmingham (GB)
  • Heartlands Hospital (GB)
Corresponding author
Günther, U L
Venue
Leukemia
Published
2015-07-23
Volume
30
Issue
1
Pages
65-73
ISSN
  • 0887-6924 (ISSN-L)
  • 1476-5551
OpenAlex
W1786044410
Cited by
91
References
23
Citations by year
2026: 2 · 2025: 5 · 2024: 7 · 2023: 6 · 2022: 15 · 2021: 11 · 2020: 13 · 2019: 9 · 2018: 10 · 2017: 4 · 2016: 7 · 2015: 1
FWCI
2.43
Type
journal article
Language
en
Open access
Locations
  • Leukemia (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (publishedVersion, cc-by)
Funders
FP7 People: Marie-Curie Actions (FP7-PEOPLE-2010-ITN)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
  • Health Sciences › Medicine › Genetics › Chronic Lymphocytic Leukemia Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
Keywords
chronic lymphocytic leukemia, cancer metabolism, metabolic plasticity, hypoxia, hypoxia-inducible factor-1α, glycolysis, lactic acid production, pyruvate utilization, oxidative stress, glucose utilization, glutamine consumption, alanine production, disease stage, tumor microenvironment
MeSH terms
Adaptation, Physiological, Citric Acid Cycle, Humans, Magnetic Resonance Spectroscopy, Leukemia, Lymphocytic, Chronic, B-Cell, Cell Hypoxia, Pyruvic Acid, Hypoxia-Inducible Factor 1, alpha Subunit, Cell Cycle Checkpoints

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