Cited by 32Cancer, Hypoxia, and MetabolismMetabolism, Diabetes, and CancerDrug Transport and Resistance Mechanisms

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Autoregulation of H(+)/lactate efflux prevents monocarboxylate transport (MCT) inhibitors from reducing glycolytic lactic acid production

Open access
Blaszczak, Wiktoria, Williams, Hannah, Swietach, Pawel·2022·British Journal of Cancer

Abstract

Background: Pharmacological inhibition of membrane transporters is expected to reduce the flow of solutes, unless flux is restored (i.e., autoregulated) through a compensatory increase in the transmembrane driving force. Drugs acting on monocarboxylate transporters (MCTs) have been developed to disrupt glycolytic metabolism, but autoregulation would render such interventions ineffective. We evaluated whether small-molecule MCT inhibitors reduce cellular H+/lactate production. Methods: Cellular assays measured the relationship between MCT activity (expressed as membrane H+/lactate permeability; P HLac) and lactic acid production (inferred from H+ and lactate excretion; J HLac) in a panel of pancreatic ductal adenocarcinoma (PDAC) cells spanning a range of glycolytic phenotype. Results: MCT activity did not correlate with lactic acid production, indicating that it is not set by membrane permeability properties. MCT inhibitors did not proportionately reduce J HLac because of a compensatory increase in the transmembrane [lactate] driving force. J HLac was largely insensitive to [lactate], therefore its cytoplasmic build-up upon MCT inhibition does not hinder glycolytic production. Extracellular acidity, an MCT inhibitor, reduced J HLac but this was via cytoplasmic acidification blocking glycolytic enzymes. Conclusions: We provide mathematically verified evidence that pharmacological and physiological modulators of MCTs cannot proportionately reduce lactic acid production because of the stabilising effect of autoregulation on overall flux.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41416-022-01910-7

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 4 references

Research works printed but not linked: 46

  1. Bonglack EN, Messinger JE, Cable JM, Ch’ng J, Parnell KM, Reinoso-Vizcaino NM, et al. Monocarboxylate transporter antagonism reveals metabolic vulnerabilities of viral-driven lymphomas. Proc Natl Acad Sci USA. 2021;118:e2022495118. · DOI
  2. Gatenby RA, Gawlinski ET. The glycolytic phenotype in carcinogenesis and tumor invasion: insights through mathematical models. Cancer Res. 2003;63:3847–54.
  3. Renner K, Bruss C, Schnell A, Koehl G, Becker HM, Fante M, et al. Restricting glycolysis preserves T cell effector functions and augments checkpoint therapy. Cell Rep. 2019;29:135–50 e139. · DOI
  4. Halestrap AP, Wilson MC. The monocarboxylate transporter family–role and regulation. IUBMB Life. 2012;64:109–19. · DOI
  5. Sun X, Wang M, Wang M, Yao L, Li X, Dong H, et al. Role of proton-coupled monocarboxylate transporters in cancer: from metabolic crosstalk to therapeutic potential. Front Cell Dev Biol. 2020;8:651. · DOI
  6. Kim HK, Lee I, Bang H, Kim HC, Lee WY, Yun SH, et al. MCT4 expression is a potential therapeutic target in colorectal cancer with peritoneal carcinomatosis. Mol Cancer Ther. 2018;17:838–48. · DOI
  7. Wang N, Jiang X, Zhang S, Zhu A, Yuan Y, Xu H, et al. Structural basis of human monocarboxylate transporter 1 inhibition by anti-cancer drug candidates. Cell. 2021;184:370–83 e313. · DOI
  8. Zhao Y, Li W, Li M, Hu Y, Zhang H, Song G, et al. Targeted inhibition of MCT4 disrupts intracellular pH homeostasis and confers self-regulated apoptosis on hepatocellular carcinoma. Exp Cell Res. 2019;384:111591. · DOI
  9. Benjamin D, Robay D, Hindupur SK, Pohlmann J, Colombi M, El-Shemerly MY, et al. Dual inhibition of the lactate transporters MCT1 and MCT4 is synthetic lethal with metformin due to NAD+ depletion in cancer cells. Cell Rep. 2018;25:3047–58 e3044. · DOI
  10. Beloueche-Babari M, Casals Galobart T, Delgado-Goni T, Wantuch S, Parkes HG, Tandy D, et al. Monocarboxylate transporter 1 blockade with AZD3965 inhibits lipid biosynthesis and increases tumour immune cell infiltration. Br J Cancer. 2020;122:895–903. · DOI
  11. Yamaguchi A, Futagi Y, Kobayashi M, Narumi K, Furugen A, Iseki K. Extracellular lysine 38 plays a crucial role in pH-dependent transport via human monocarboxylate transporter 1. Biochim Biophys Acta Biomembr. 2020;1862:183068. · DOI
  12. Sasaki S, Kobayashi M, Futagi Y, Ogura J, Yamaguchi H, Iseki K. Involvement of histidine residue His382 in pH regulation of MCT4 activity. PLoS ONE. 2014;10:e0122738. · DOI
  13. Kirk P, Wilson MC, Heddle C, Brown MH, Barclay AN, Halestrap AP. CD147 is tightly associated with lactate transporters MCT1 and MCT4 and facilitates their cell surface expression. EMBO J. 2000;19:3896–904. · DOI
  14. Casey JR, Grinstein S, Orlowski J. Sensors and regulators of intracellular pH. Nat Rev Mol Cell Biol. 2010;11:50–61. · DOI · Paper page
  15. Webb BA, Forouhar F, Szu FE, Seetharaman J, Tong L, Barber DL. Structures of human phosphofructokinase-1 and atomic basis of cancer-associated mutations. Nature. 2015;523:111–4. · DOI
  16. Trivedi B, Danforth WH. Effect of pH on the kinetics of frog muscle phosphofructokinase. J Biol Chem. 1966;241:4110–2. · DOI
  17. Park JO, Tanner LB, Wei MH, Khana DB, Jacobson TB, Zhang Z, et al. Near-equilibrium glycolysis supports metabolic homeostasis and energy yield. Nat Chem Biol. 2019;15:1001–8. · DOI
  18. Subramanian A, Capalbo A, Iyengar NR, Rizzo R, di Campli A, Di Martino R, et al. Auto-regulation of secretory flux by sensing and responding to the folded cargo protein load in the endoplasmic reticulum. Cell. 2019;176:1461–76 e1423. · DOI
  19. Eisner DA, Trafford AW, Diaz ME, Overend CL, O’Neill SC. The control of Ca release from the cardiac sarcoplasmic reticulum: regulation versus autoregulation. Cardiovasc Res. 1998;38:589–604. · DOI
  20. Michl J, Park KC, Swietach P. Evidence-based guidelines for controlling pH in mammalian live-cell culture systems. Commun Biol. 2019;2:144. · DOI · Paper page
  21. Richardson SL, Hulikova A, Proven M, Hipkiss R, Akanni M, Roy NBA, et al. Single-cell O2 exchange imaging shows that cytoplasmic diffusion is a dominant barrier to efficient gas transport in red blood cells. Proc Natl Acad Sci USA. 2020;117:10067–78. · DOI
  22. Jackson VN, Halestrap AP. The kinetics, substrate, and inhibitor specificity of the monocarboxylate (lactate) transporter of rat liver cells determined using the fluorescent intracellular pH indicator, 2’,7’-bis(carboxyethyl)−5(6)-carboxyfluorescein. J Biol Chem. 1996;271:861–8. · DOI
  23. Ovens MJ, Manoharan C, Wilson MC, Murray CM, Halestrap AP. The inhibition of monocarboxylate transporter 2 (MCT2) by AR-C155858 is modulated by the associated ancillary protein. Biochem J. 2010;431:217–25. · DOI
  24. Khan A, Valli E, Lam H, Scott DA, Murray J, Hanssen KM, et al. Targeting metabolic activity in high-risk neuroblastoma through monocarboxylate transporter 1 (MCT1) inhibition. Oncogene. 2020;39:3555–70. · DOI
  25. Doherty JR, Yang C, Scott KE, Cameron MD, Fallahi M, Li W, et al. Blocking lactate export by inhibiting the Myc target MCT1 disables glycolysis and glutathione synthesis. Cancer Res. 2014;74:908–20. · DOI
  26. Diers AR, Broniowska KA, Chang CF, Hogg N. Pyruvate fuels mitochondrial respiration and proliferation of breast cancer cells: effect of monocarboxylate transporter inhibition. Biochem J. 2012;444:561–71. · DOI
  27. Kong SC, Nohr-Nielsen A, Zeeberg K, Reshkin SJ, Hoffmann EK, Novak I, et al. Monocarboxylate transporters MCT1 and MCT4 Regulate migration and invasion of pancreatic ductal adenocarcinoma cells. Pancreas. 2016;45:1036–47. · DOI
  28. Baek G, Tse YF, Hu Z, Cox D, Buboltz N, McCue P, et al. MCT4 defines a glycolytic subtype of pancreatic cancer with poor prognosis and unique metabolic dependencies. Cell Rep. 2014;9:2233–49. · DOI
  29. Jung DE, Kim JM, Kim C, Song SY. Embigin is overexpressed in pancreatic ductal adenocarcinoma and regulates cell motility through epithelial to mesenchymal transition via the TGF-beta pathway. Mol Carcinog. 2016;55:633–45. · DOI
  30. Ullah MS, Davies AJ, Halestrap AP. The plasma membrane lactate transporter MCT4, but not MCT1, is up-regulated by hypoxia through a HIF-1alpha-dependent mechanism. J Biol Chem. 2006;281:9030–7. · DOI
  31. Almquist J, Lang P, Prätzel-Wolters D, Deitmer JW, Jirstrand M, Becker HM. A kinetic model of the monocarboxylate transporter MCT1 and its interaction with carbonic anhydrase II. J Computer Sci Syst Biol. 2010;3:107–16.
  32. Lin PY, Ahluwalia M, Gruenstein E. An alkaline pH-activated Cl(-)-anion exchanger regulates pH homeostasis in fibroblasts. Am J Physiol. 1990;258:C132–139. · DOI
  33. Cassio F, Leao C, van Uden N. Transport of lactate and other short-chain monocarboxylates in the yeast Saccharomyces cerevisiae. Appl Environ Microbiol. 1987;53:509–13. · DOI
  34. Curtis NJ, Mooney L, Hopcroft L, Michopoulos F, Whalley N, Zhong H, et al. Pre-clinical pharmacology of AZD3965, a selective inhibitor of MCT1: DLBCL, NHL and Burkitt’s lymphoma anti-tumor activity. Oncotarget. 2017;8:69219–36. · DOI
  35. Guan X, Morris ME. In vitro and in vivo efficacy of AZD3965 and alpha-cyano-4-hydroxycinnamic acid in the murine 4T1 breast tumor model. AAPS J. 2020;22:84. · DOI
  36. Noble RA, Bell N, Blair H, Sikka A, Thomas H, Phillips N, et al. Inhibition of monocarboxyate transporter 1 by AZD3965 as a novel therapeutic approach for diffuse large B-cell lymphoma and Burkitt lymphoma. Haematologica. 2017;102:1247–57. · DOI
  37. Daw CC, Ramachandran K, Enslow BT, Maity S, Bursic B, Novello MJ, et al. Lactate elicits ER-mitochondrial Mg(2+) dynamics to integrate. Cell Metab Cell. 2020;183:474–89 e417.
  38. Payen VL, Hsu MY, Radecke KS, Wyart E, Vazeille T, Bouzin C, et al. Monocarboxylate transporter MCT1 promotes tumor metastasis independently of its activity as a lactate transporter. Cancer Res. 2017;77:5591–601. · DOI
  39. Oginuma M, Harima Y, Tarazona OA, Diaz-Cuadros M, Michaut A, Ishitani T, et al. Intracellular pH controls WNT downstream of glycolysis in amniote embryos. Nature. 2020;584:98–101. · DOI
  40. Corbet C, Feron O. Tumour acidosis: from the passenger to the driver’s seat. Nat Rev Cancer. 2017;17:577–93. · DOI
  41. Ibrahim Hashim A, Cornnell HH, Coelho Ribeiro Mde L, Abrahams D, Cunningham J, Lloyd M, et al. Reduction of metastasis using a non-volatile buffer. Clin Exp Metastasis. 2011;28:841–9. · DOI
  42. Hancock EJ, Ang J, Papachristodoulou A, Stan GB. The interplay between feedback and buffering in cellular homeostasis. Cell Syst. 2017;5:498–508 e423. · DOI
  43. Tanner LB, Goglia AG, Wei MH, Sehgal T, Parsons LR, Park JO, et al. Four key steps control glycolytic flux in mammalian cells. Cell Syst. 2018;7:49–62 e48. · DOI
  44. Green H, Halestrap A, Mockett C, O’Toole D, Grant S, Ouyang J. Increases in muscle MCT are associated with reductions in muscle lactate after a single exercise session in humans. Am J Physiol Endocrinol Metab. 2002;282:E154–160. · DOI
  45. Turkcan S, Kiru L, Naczynski DJ, Sasportas LS, Pratx G. Lactic acid accumulation in the tumor microenvironment suppresses (18)F-FDG uptake. Cancer Res. 2019;79:410–9. · DOI
  46. Yogurtcu ON, Johnson ME. Cytosolic proteins can exploit membrane localization to trigger functional assembly. PLoS Comput Biol. 2018;14:e1006031. · DOI

Cited by

Sorted by citations

See all 32

Metadata

Authors
Blaszczak, W., Williams, H., & Swietach, P.
Affiliations
University of Oxford (GB)
Corresponding author
Swietach, Pawel
Venue
British Journal of Cancer
Published
2022-07-15
Volume
127
Issue
7
Pages
1365-1377
ISSN
  • 0007-0920 (ISSN-L)
  • 1532-1827
OpenAlex
W4285591986
Cited by
32
References
4
Citations by year
2026: 5 · 2025: 11 · 2024: 8 · 2023: 7 · 2022: 1
FWCI
2.84
Type
journal article
Language
en
Open access
Locations
  • British Journal of Cancer (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • University of Oxford
  • Horizon 2020 Framework Programme (MSCA‐ITN‐2018, H2020-MSCA, 813834, H2020-MSCA-ITN-2018, H2020-MSCA-ITN)
  • H2020 European Research Council (723997)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
  • Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
Keywords
monocarboxylate transporters, autoregulation, lactic acid production, glycolysis, pancreatic ductal adenocarcinoma, cytoplasmic acidification, extracellular acidity, membrane permeability, cancer metabolism
MeSH terms
Glycolysis, Homeostasis, Humans, Pancreatic Neoplasms, Lactic Acid, Monocarboxylic Acid Transporters

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review