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. 2022 May 12;22(1):234.
doi: 10.1186/s12876-022-02311-z.

Nanomolar EP4 receptor potency and expression of eicosanoid-related enzymes in normal appearing colonic mucosa from patients with colorectal neoplasia

Affiliations

Nanomolar EP4 receptor potency and expression of eicosanoid-related enzymes in normal appearing colonic mucosa from patients with colorectal neoplasia

Ulrike Ries Feddersen et al. BMC Gastroenterol. .

Erratum in

Abstract

Background: Aberrations in cyclooxygenase and lipoxygenase (LOX) pathways in non-neoplastic, normal appearing mucosa from patients with colorectal neoplasia (CRN), could hypothetically qualify as predisposing CRN-markers.

Methods: To test this hypothesis, biopsies were obtained during colonoscopy from macroscopically normal colonic mucosa from patients with and without CRN. Prostaglandin E2 (PGE2) receptors, EP1-4, were examined in Ussing-chambers by exposing biopsies to selective EP receptor agonists, antagonists and PGE2. Furthermore, mRNA expression of EP receptors, prostanoid synthases and LOX enzymes were evaluated with qPCR.

Results: Data suggest that PGE2 binds to both high and low affinity EP receptors. In particular, PGE2 demonstrated EP4 receptor potency in the low nanomolar range. Similar results were detected using EP2 and EP4 agonists. In CRN patients, mRNA-levels were higher for EP1 and EP2 receptors and for enzymes prostaglandin-I synthase, 5-LOX, 12-LOX and 15-LOX.

Conclusions: In conclusion, normal appearing colonic mucosa from CRN patients demonstrates deviating expression in eicosanoid pathways, which might indicate a likely predisposition for early CRN development and furthermore that PGE2 potently activates high affinity EP4 receptor subtypes, supporting relevance of testing EP4 antagonists in colorectal neoplasia management.

Keywords: Colorectal cancer; EP receptors; Lipoxygenase; Short circuit current; mRNA expression.

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Conflict of interest statement

Mark Berner-Hansen is also a present employee of Zealand Pharma, Denmark. The present work was not related to this affiliation. All authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Model of the metabolization of arachidonic acid (AA). AA is metabolized by 3 different groups of enzymes: cyclooxygenases (COX), lipoxygenases (LOX) and epoxygenases (cytochrome P450). The COX pathway consists of 2 isozymes: COX-1 and COX-2. Both isozymes metabolize AA into PGG2 and then into PGH2, which is further converted to the prostaglandins (PGs) PGD2, PGE2, PGF, PGI2 and thromboxane A2, (TXA2) by their respective synthases [3]. Each product binds to its specific membrane receptor. The CYP-450 pathway converts AA by epoxygenases and ω-hydroxylase into other downstream products, not shown. The LOX pathway consists of 3 main enzymes termed 5-LOX, 12-LOX and 15-LOX (isozymes 15-LOX-1 and 15-LOX-2). They metabolize AA into hydroperoxyl-eicosatetraenoic acids (HPETEs), which are further reduced to hydroxyeicosatetraenoic acids (HETEs). The 5-LOX enzyme differs by also metabolizing 5-HPETE into leukotriene A4 by means of 5-lipoxygenase-activating protein (FLAP). *Enzymes already investigated in our laboratory; data published. Receptors/enzymes investigated in this study are underlined with red
Fig. 2
Fig. 2
Dose–response curves of (A) EP2 agonist ONO-AE1-259 and (B) PGE2 and EP4 agonist, TCS 2510, experiments. X-axis: ligand concentrations scaled logarithmically. Y-axis: changes in SCC. A: Large dots (black) show increases in SCC as a response to increasing EP2 agonist concentrations. The unbroken line in cyan resembles single receptor model (srm) fitting, while the long dotted line in blue resembles two receptor model (trm) fitting. B: Triangles (black) indicate increases in SCC as a response to increasing PGE2 concentrations. Large dots (black) show increases in SCC as a response to increasing EP4 agonist concentrations. Dotted and long dotted lines (in blue colors) resemble single (srm) and two receptor model (trm) fitting for PGE2 respectively. The unbroken and the medium dotted lines (in red colors) show trm and srm respectively for EP4 agonist. The trm fits data points more closely
Fig. 3
Fig. 3
Calculated mean EC50 values of PGE2 and EP receptor agonists using (A) single receptor model (srm) equations and of (B) high and (C) low affinity receptors following PGE2 and EP receptor agonists stimulation using two receptor model equations (trm). Numbers under the graph show N/n, N = number of patients, n = number of biopsies, NA = not applicable due to insufficient N/n. Data are presented as means ± SEM. *p < 0.05
Fig. 4
Fig. 4
Calculated mean RMax values displayed as µA·cm−2 from (A) single receptor models and (B) two receptor models upon biopsy stimulation with PGE2 or a selective EP receptor agonist. Numbers under the graph show N/n, N = number of patients, n = number of biopsies, NA = not applicable due to insufficient N/n. Data are presented as means ± SEM. *p < 0.05
Fig. 5
Fig. 5
Dose–response curves of PGE2 stimulation with and without EP4 antagonist GW627368X (GW-X) and calculated mean EC50 values. A: X-axis: PGE2 concentrations scaled logarithmically. Y-axis: changes in SCC. Triangles (black) show increases in SCC as a response to PGE2 doses without the addition of GW-X. Big dots (black) show increases in SCC in the presence of EP4 antagonist GW-X followed by PGE2 stimulation. The small dotted and the unbroken line (blue colors) resemble single (srm) and two receptor model (trm) fitting. Long dotted line (red) shows srm for experiments with GW-X, trm could not be calculated. B: Mean EC50 (nM) values of PGE2 and EP4 agonist TCS 2510 following inhibition with GW627368X (GW-X), calculated from single receptor model (srm) equations. Numbers under the graph show N/n, N = number of patients, n = number of biopsies. Data are presented as means ± SEM
Fig. 6
Fig. 6
Expression levels of investigated enzymes and receptors. Expression of EP1, EP2 5-LOX, 12-LOX, 15-LOX as well as PTGIS are significantly higher in CRN patients. Expression levels are relative to ß-actin and GAPDH. Data are presented as means ± SEM. *p < 0.05 and **p < 0.01

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References

    1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: Cancer J Clin. 2018;68(6):394–424. - PubMed
    1. Fearon ER, Vogelstein B. A genetic model for colorectal tumorigenesis. Cell. 1990;61(5):759–767. doi: 10.1016/0092-8674(90)90186-I. - DOI - PubMed
    1. Wang D, DuBois RN. An inflammatory mediator, prostaglandin E2, in colorectal cancer. Cancer J (Sudbury, Mass) 2013;19(6):502–510. doi: 10.1097/PPO.0000000000000003. - DOI - PMC - PubMed
    1. Thun MJ, Namboodiri MM, Heath CW., Jr Aspirin use and reduced risk of fatal colon cancer. N Engl J Med. 1991;325(23):1593–1596. doi: 10.1056/NEJM199112053252301. - DOI - PubMed
    1. Thun MJ, Jacobs EJ, Patrono C. The role of aspirin in cancer prevention. Nat Rev Clin Oncol. 2012;9(5):259–267. doi: 10.1038/nrclinonc.2011.199. - DOI - PubMed

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