Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Dec 30:7:13.
doi: 10.1186/s40170-019-0205-z. eCollection 2019.

Cysteine catabolism and the serine biosynthesis pathway support pyruvate production during pyruvate kinase knockdown in pancreatic cancer cells

Affiliations

Cysteine catabolism and the serine biosynthesis pathway support pyruvate production during pyruvate kinase knockdown in pancreatic cancer cells

Lei Yu et al. Cancer Metab. .

Abstract

Background: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with limited treatment options. Pyruvate kinase, especially the M2 isoform (PKM2), is highly expressed in PDAC cells, but its role in pancreatic cancer remains controversial. To investigate the role of pyruvate kinase in pancreatic cancer, we knocked down PKM2 individually as well as both PKM1 and PKM2 concurrently (PKM1/2) in cell lines derived from a Kras G12D/- ; p53 -/- pancreatic mouse model.

Methods: We used liquid chromatography tandem mass spectrometry (LC-MS/MS) to determine metabolic profiles of wildtype and PKM1/2 knockdown PDAC cells. We further used stable isotope-labeled metabolic precursors and LC-MS/MS to determine metabolic pathways upregulated in PKM1/2 knockdown cells. We then targeted metabolic pathways upregulated in PKM1/2 knockdown cells using CRISPR/Cas9 gene editing technology.

Results: PDAC cells are able to proliferate and continue to produce pyruvate despite PKM1/2 knockdown. The serine biosynthesis pathway partially contributed to pyruvate production during PKM1/2 knockdown: knockout of phosphoglycerate dehydrogenase in this pathway decreased pyruvate production from glucose. In addition, cysteine catabolism generated ~ 20% of intracellular pyruvate in PDAC cells. Other potential sources of pyruvate include the sialic acid pathway and catabolism of glutamine, serine, tryptophan, and threonine. However, these sources did not provide significant levels of pyruvate in PKM1/2 knockdown cells.

Conclusion: PKM1/2 knockdown does not impact the proliferation of pancreatic cancer cells. The serine biosynthesis pathway supports conversion of glucose to pyruvate during pyruvate kinase knockdown. However, direct conversion of serine to pyruvate was not observed during PKM1/2 knockdown. Investigating several alternative sources of pyruvate identified cysteine catabolism for pyruvate production during PKM1/2 knockdown. Surprisingly, we find that a large percentage of intracellular pyruvate comes from cysteine. Our results highlight the ability of PDAC cells to adaptively rewire their metabolic pathways during knockdown of a key metabolic enzyme.

Keywords: Liquid chromatography mass spectrometry; Metabolism; PKM; Pancreatic cancer; Pyruvate kinase.

PubMed Disclaimer

Conflict of interest statement

Competing interestsThe authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
PKM2 and PKM1/2 knockdown do not decrease proliferation of pancreatic cancer cells. a, b PDACs proliferate at the same rate with (+Dox) or without (−Dox) PKM1/2 knockdown. Proliferation was assessed by counting cell numbers in triplicates for 4 days following 7 days of vehicle (−Dox) or 1 μg/ml doxycycline (+Dox) treatment to maximize PKM2 or PKM1/2 knockdown. Western blot confirms PKM1/2 knockdown in PDACs after 7 days of vehicle (−Dox) or doxycycline (+Dox) treatment. c Relative intracellular metabolites levels are represented by peak intensities and are displayed relative to −Dox averages. Values are the average of three biological replicates. Error bars represent standard deviation. Statistically significant differences (p value < 0.05) are marked with asterisks (*). d 13C-glucose labeling of intracellular metabolites for 24 h in A13M13 PDAC cells with vehicle (−Dox) or PKM1/2 knockdown (+Dox). The y-axis for all graphs is the percent labeling of indicated 13C-isotopologue
Fig. 2
Fig. 2
Pancreatic cancer cells upregulate the serine biosynthesis pathway following PKM1/2 knockdown. a Pool sizes of intracellular metabolites in PDAC cells treated with (+Dox) or without (−Dox) PKM1/2 knockdown were detected using ultrahigh performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). b 13C-Glucose flux to serine is upregulated in A13M13 PDAC cells with PKM1/2 knockdown (+Dox). Statistically significant differences (p value < 0.01) are marked with asterisks (**). c Metabolic pathways that may generate pyruvate from upstream glycolytic intermediates during PKM knockdown. NPL, N-acetylneuraminate pyruvate lyase; SDH, serine dehydratase
Fig. 3
Fig. 3
PHGDH knockout depletes intracellular serine, slightly decreases pyruvate generation, but does not affect cell proliferation. a Proliferation rates of wild-type A13M13 (PHGDH WT) or PHGDH knockout (PHGDH KO) populations of PDACs with vehicle (−Dox) or PKM1/2 knockdown (+Dox). Cell counts were measured daily (n = 3) after vehicle or doxycycline treatment. Western blot confirms PHGDH knockout in PDACs. b Relative intracellular metabolites levels are represented by peak intensities and are displayed relative to WT metabolite intensity averages. Cells are collected after 7 days of doxycycline treatment. Values are the average of three biological replicates. Error bars represent standard deviation. c 13C-Glucose labeling of intracellular metabolites for 24 h in WT and PHGDH KO PDAC clone P24 cells with PKM1/2 knockdown. The y-axis for all graphs is the percent labeling of indicated full labeled 13C-isotopologue. Experiments were performed in triplicates and all data are displayed as the mean values ± standard error. Statistically significant differences (p value) are marked with asterisks (*p < 0.05, **p < 0.01)
Fig. 4
Fig. 4
PHGDH and NPL dual KO does not impact growth rate and pyruvate generation from glucose. a Average proliferation rates of 3 PHGDH/NPL dual knockouts (dual KO) clones or wild-type PDACs with vehicle (−Dox) or PKM1/2 knockdown (+Dox). Cell counts were measured daily (n = 3). b 13C-Glucose labeling of intracellular metabolites for 60 min in wild-type (WT) or PHGDH/NPL dual knockout clone D7 cells with PKM1/2 knockdown for 60 min. The y-axis for all graphs is the percent labeling of indicated 13C-isotopologue. Experiments were performed in triplicates, and all data are displayed as the mean values ± standard error
Fig. 5
Fig. 5
Investigation of additional pathways for pyruvate generation. a Metabolic pathways that may generate pyruvate from other intermediates during PKM1/2 knockdown. PEPCK, phosphoenolpyruvate carboxykinase; PC, pyruvate carboxylase. b 13C-Glutamine labeling of intracellular metabolites for 60 min in wild-type (WT) and PHGDH/NPL dual KO D7 PDAC cells with PKM1/2 knockdown. c 13C-Serine labeling of intracellular metabolites for 60 min in PHGDH/NPL dual KO D7 PDAC cells with PKM1/2 knockdown. d 13C-Tryptophan, 13C-threonine, and 13C-cysteine labeling of intracellular metabolites for 60 min in PHGDH/NPL dual KO D7 PDAC cells with PKM1/2 knockdown. The y-axis for all graphs is the percent labeling of indicated 13C-isotopologue. Experiments were performed in triplicates and all data are displayed as the mean values ± standard error. Ser, serine; Trp, tryptophan; Thr, threonine; Cys, cysteine
Fig. 6
Fig. 6
Labeling with multiple tracers shows that ~ 20% of pyruvate is generated from cysteine. Multi-tracer of 1,2-13C2-glucose, 5-13C1-glutamine, and 13C-cysteine labeling of intracellular metabolites in PHGDH/NPL dual knockout D7 PDAC cells following with vehicle (−Dox) or PKM1/2 knockdown (+Dox). The y-axis for all graphs is the percent labeling of indicated 13C-isotopologue. Experiments were performed in triplicates and all data are displayed as the mean values ± standard error

Similar articles

Cited by

References

    1. 5-year relative survival, 2008-2014, cancer statistic center, American Cancer Society. https://cancerstatisticscenter.cancer.org/#/
    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67(1):7–30. doi: 10.3322/caac.21387. - DOI - PubMed
    1. Conroy T, Bachet JB, Ayav A, Huguet F, Lambert A, Caramella C, Marechal R, Van Laethem JL, Ducreux M. Current standards and new innovative approaches for treatment of pancreatic cancer. Eur J Cancer. 2016;57:10–22. doi: 10.1016/j.ejca.2015.12.026. - DOI - PubMed
    1. Kleeff J, Korc M, Apte M, La Vecchia C, Johnson CD, Biankin AV, Neale RE, Tempero M, Tuveson DA, Hruban RH, Neoptolemos JP. Pancreatic cancer. Nat Rev Dis Primers. 2016;2:16022. doi: 10.1038/nrdp.2016.22. - DOI - PubMed
    1. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646–674. doi: 10.1016/j.cell.2011.02.013. - DOI - PubMed