No retraction, correction or concern found when last checked on Oct 20, 2026.
MYC promotes tryptophan uptake and metabolism by the kynurenine pathway in colon cancer
Niranjan Venkateswaran, M. Carmen Lafita-Navarro, Yi-Heng Hao and 13 more
Genes & Development · 2019
Abstract
Tumors display increased uptake and processing of nutrients to fulfill the demands of rapidly proliferating cancer cells. Seminal studies have shown that the proto-oncogene MYC promotes metabolic reprogramming by altering glutamine uptake and metabolism in cancer cells. How MYC regulates the metabolism of other amino acids in cancer is not fully understood. Using high-performance liquid chromatography (HPLC)-tandem mass spectrometry (LC-MS/MS), we found that MYC increased intracellular levels of tryptophan and tryptophan metabolites in the kynurenine pathway. MYC induced the expression of the tryptophan transporters SLC7A5 and SLC1A5 and the enzyme arylformamidase (AFMID), involved in the conversion of tryptophan into kynurenine. SLC7A5, SLC1A5, and AFMID were elevated in colon cancer cells and tissues, and kynurenine was significantly greater in tumor samples than in the respective adjacent normal tissue from patients with colon cancer. Compared with normal human colonic epithelial cells, colon cancer cells were more sensitive to the depletion of tryptophan. Blocking enzymes in the kynurenine pathway caused preferential death of established colon cancer cells and transformed colonic organoids. We found that only kynurenine and no other tryptophan metabolite promotes the nuclear translocation of the transcription factor aryl hydrocarbon receptor (AHR). Blocking the interaction between AHR and kynurenine with CH223191 reduced the proliferation of colon cancer cells. Therefore, we propose that limiting cellular kynurenine or its downstream targets could present a new strategy to reduce the proliferation of MYC-dependent cancer cells.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 20, 2026. Paragraph numbers are ours, so an answer can point at one.
Tryptophan (Trp) is an essential amino acid for protein synthesis, and its metabolism can give rise to serotonin and metabolites in the kynurenine (Kyn) pathway. The Kyn pathway is mostly active in the liver, where it is responsible for metabolizing >90% of cellular Trp. Extrahepatically, the Kyn pathway is less active, with limited contribution to Trp degradation.
The Kyn pathway produces biologically active metabolites, including niacin (vitamin B3), picolinic acid, quinolinic acid, kynurenic acid, cinnabarinic acid, xanthurenic acid, and Kyn. The final product of the Kyn pathway is the redox cofactor NAD+. Liver cells contain elevated levels of all of the enzymes necessary for complete metabolism of Trp to NAD+; however, the amounts and activity of different enzymes in the Kyn pathway in other tissues define the production rate and stability of specific Trp metabolites. Alterations in Trp metabolism correlate with the presence of neurological diseases, including depression and autism and cancer of various organs.
The first step of the Kyn pathway can be catabolized by three distinct but functionally redundant enzymes: indoleamine 2,3-dioxygenase 1 (IDO1), IDO2, and tryptophan 2,3-dioxygenase (TDO2). This step produces the intermediate N-formyl kynurenine, which is converted into Kyn by arylformamidase (AFMID). Kyn can be further metabolized to give rise to kynurenic acid, cinnabarinic acid, xanthurenic acid, picolinic acid, quinolinic acid, and NAD+. Previous studies have found one or more of these enzymes were up-regulated in tumors of the pancreas, breast, and brain. In colorectal cancer, IDO1 expression correlates with reduced tumor infiltration by lymphocytes, increased rates of hepatic metastases, and a poor clinical outcome. Recently, it was shown that conditional deletion of IDO1 in colonic cells delays colon cancer in animal models, indicating that Kyn levels are likely altered in colon cancer and may contribute to tumorigenesis.
Previous studies have focused on the role of Kyn as a tumor-secreted metabolite that inhibits cancer immune surveillance. Tumor cell-produced Kyn can be exported to the tumor microenvironment, leading to T-cell inactivation and prevention of tumor cell clearance. Kyn can also function as an endogenous ligand for the basic helix–loop–helix (bHLH)-PAS transcription factor aryl hydrocarbon receptor (AHR), suggesting a cell-autonomous role. Activation of AHR by tumor-produced Kyn is believed to elicit a gene expression program that not only results in the paracrine suppression of immune cells but also facilitates cancer cell proliferation and migration in a cell-autonomous manner.
AHR expression is correlated with smoke-induced lung cancer and is believed to contribute to lung cancer initiation. AHR is highly expressed in tumors of different origins, including lung, breast, liver, ovarian, prostate, and colon. Overexpression of a constitutively active AHR causes stomach cancer. Moreover, studies of human colon cancer cells show that AHR activation by the dioxin TCDD drives colon cancer cell survival and migration. Recently, our laboratory discovered that the proto-oncogene MYC induces AHR expression in colon cancer. MYC is one of the most commonly overexpressed genes in human tumors and is required for maintenance of most cancers, including colon cancer. Pioneering studies found that MYC regulates genes that enhance amino acid uptake, including the uptake of glutamine, which, together with glucose, fuels the TCA cycle in proliferative cells.
AHR is highly expressed in human colon cancer tissues, where it is localized in the nuclei of tumor cells. Given the requirement for ligand binding to AHR for its translocation to the nucleus, this nuclear localization of AHR likely reflects an increase in intracellular ligands of AHR in cancer cells. Here, we show that MYC promoted an increase in Kyn by inducing the transcription of the Trp importers and the enzyme AFMID. Furthermore, we demonstrate that Kyn levels were elevated in colon cancer tissues and human colon cancer cells and that colon cancer cells were selectively sensitive to inhibition of the Kyn pathway. We propose that reducing the conversion of Trp into Kyn could be an effective strategy to limit the proliferation of MYC-dependent cancer cells.
MYC expression promotes an increase in Kyn levels
As we showed previously, MYC expression increased the nuclear levels of AHR in multiple cells lines (Fig. 1A; ), thus indicating that AHR is transcriptionally active in these cells. We found that AHR target genes were indeed up-regulated in MYC-expressing fibroblasts. Incubation of these fibroblasts with Kyn and Trp induced nuclear translocation of AHR to an extent similar to that of TCDD and Indirubin, which are exogenous ligands for AHR (Supplemental Fig. S1A). Treating myc−/− cells expressing MYC with the TDO/IDO inhibitor LM10 (Fig. 1B) or 680C91 (Supplemental Fig. S1B) limited nuclear translocation of AHR, which was rescued by the addition of Kyn to the culture medium. These results suggest that MYC-expressing cells have an increase in nuclear translocation of AHR due at least in part to increased levels of endogenous Kyn.
To determine whether MYC promotes an increase in the intracellular levels of Kyn, we applied metabolomics profiling to compare the global metabolites present in myc−/− cells expressing empty vector or reconstituted with MYC. This experiment revealed that MYC expression promoted an increase in Kyn levels (Fig. 1C). To accurately quantify the levels of Trp metabolites in cells and tissues, we first developed a high-performance liquid chromatography (HPLC)-tandem mass spectrometry (LC-MS/MS) method using commercially available purified compounds (Fig. 1D) to generate individual standard curves for each metabolite (Fig. 1E). Using this method, we found that Trp, Kyn, and cinnabarinic acid were elevated upon MYC expression in myc−/− cells (Fig. 1F). Kynurenic acid was unaffected by MYC expression, and xanthurenic acid and melatonin were undetectable. Trp levels were 20 times higher than Kyn, thus suggesting that a large portion of cellular Trp is available for protein synthesis. Cinnabarinic acid and kynurenic acid were present in much smaller amounts than Kyn (Fig. 1F). Serotonin levels were either reduced or enhanced by MYC, depending on the cell line (Supplemental Fig. S1C,D); thus, we concluded that MYC does not have a consistent effect on serotonin levels. Importantly, serotonin levels were lower than Kyn in epithelial cells and fibroblasts, as expected, since serotonin is produced by specialized cells (Supplemental Fig. S1C,D).
We extended our studies to compare Kyn levels in the epithelial human retinal epithelial cell line ARPE and normal human foreskin fibroblasts (HFFs) expressing empty vector or MYC (Fig. 1G). We found that Kyn levels were consistently elevated in both ARPE (1.5×) and HFF (5×) cells upon MYC expression as detected by LC-MS/MS (Fig. 1H,I). In summary, using independent approaches, we demonstrated that MYC-expressing cells displayed increases in intracellular Trp and Kyn. Kyn was the most abundant Trp metabolite in MYC-expressing cells, thus indicating that Kyn is a stable Trp catabolite and may play roles in one or more aspects of cellular behavior.
MYC promotes the expression of Trp transporters and enzymes in the Kyn pathway
Oncogenic transformation by MYC (and other oncogenes) often leads to an increase in the uptake of essential amino acids. Therefore, increased Trp uptake is likely to occur in MYC-expressing cells to supply Trp for enhanced protein synthesis and for the Kyn pathway. Solute carrier 7A5 (SLC7A5; also named LAT1) and SLC1A5 were shown previously to import Trp. SLC7A5 has high affinity for large neutral amino acids such as phenylalanine, tyrosine, leucine, arginine, and Trp when associated with SLC3A2. SLC1A5 is known as a glutamine transporter but can also import alanine, threonine, serine, leucine, valine, asparagine, methionine, isoleucine, Trp, histidine, and phenylalanine but not glutamate, lysine, arginine, and branched chain amino acids.
To interrogate the mechanism by which MYC promotes Trp and Kyn accumulation, we probed RNA sequencing (RNA-seq) data comparing the profile of myc−/− cells expressing empty vector or reconstituted with MYC, which we published previously. A comparison of data from two independent RNA-seq experiments in myc−/− cells expressing empty vector or MYC revealed MYC-regulated genes related to Trp uptake and metabolism (Fig. 2A; Supplemental Fig. S1E). MYC induced the expression of SLC1A5 and the Kyn pathway enzymes AFMID, KYNU, and CCBL2 and repressed the expression of the enzymes TPH1 and AANAT (Fig. 2A). SLC7A5, shown previously to be a target of MYC, was not induced in our RNA-seq data. The modulation of these genes by MYC was validated by performing RT-qPCR in myc−/− cells expressing empty vector or reconstituted with MYC (Fig. 2B). MYC and AHR (a MYC target gene) were used as controls in our RT-qPCR experiments (Fig. 2C).
We examined the expression of Trp transporters and Trp-metabolizing enzymes in HFF and ARPE cells upon MYC expression. Using RT-qPCR, we found that AFMID and SLC1A5 were also induced by MYC in ARPE (Fig. 2E), similarly to myc−/− cells (Fig. 2D), but not in HFFs expressing MYC (Fig. 2F). To determine whether MYC expression regulated the expression of other Trp transporters or enzymes in the Kyn pathway in HFFs, we examined the expression of the enzymes IDO1 and TDO2 in HFFs. We found that TDO2 was elevated in HFFs expressing MYC but not in ARPE (Fig. 2E,F). SLC7A5, which is not controlled by MYC in Rat1 myc−/− fibroblasts, is a known MYC target gene and was elevated upon MYC expression in ARPE (Fig. 2E) and HFF (Fig. 2F) cells. Interestingly, each cell line displayed an increase in at least one Trp importer and one enzyme in the Kyn pathway upon MYC overexpression, thus indicating that MYC promotes the expression of a combination of transporters and enzymes necessary to increase uptake of Trp and its conversion into Kyn. The genes that could not be validated by RT-qPCR as a result of very low mRNA expression and thus prevented reliable conclusions about their relative expression are not shown.
Colon cancer tissues have elevated Trp transporters and enzymes in the Kyn pathway
By analyzing the mRNA expression of SLC1A5, SLC3A2, and SLC7A5 in human colon cancer samples deposited in The Cancer Genome Atlas (TCGA) database (n = 41 matched pairs of normal and colorectal cancer samples) (Supplemental Table S1), we found that all three genes had elevated expression in nearly all patients (Fig. 3A). Indeed, previous immunohistochemistry (IHC) studies found that both SLC1A5 and SLC7A5 were up-regulated in colon cancer cells.
We also probed normal and tumor tissues in the TCGA database for the expression of Trp-metabolizing enzymes. We found that the enzymes IDO1 and TDO2 were elevated in ∼40% of the samples from colon cancer patients, and the enzyme AFMID, which is involved in the last step of the conversion of Trp into Kyn, was up-regulated in 80% of these samples of colon cancers (Fig. 3B). The enzyme TPH1, which is involved in the production of serotonin, was down-regulated in ∼90% of the patient samples (Fig. 3B). To validate these results, we performed RT-qPCR for SLC1A5, SLC7A5, TPH1, TDO2, IDO1, AHR (Fig. 3C), and MYC (Supplemental Fig. S2A) in colon cancer and normal tissue of the same patients. Our results confirmed that SLC7A5, SLC1A5, TDO2, IDO1, and AHR were all elevated in colon cancer, while TPH1 was reduced (Fig. 3C).
We performed IHC for TDO2, TPH1, AHR, serotonin, and TPH2 in paraffin-embedded patient-derived normal and colon cancer tissues to confirm our TCGA results. Antibodies for AFMID and IDO1/2 did not yield specific signals in human colonic tissues. All other samples were characterized into four groups: negative, weakly positive, positive, and strongly positive (example in Supplemental Fig. S2H). TDO2 expression was significantly higher in 15 out of 18 samples (Fig. 3D,H; Supplemental Fig. S2D). Importantly, when comparing nuclear AHR and TDO expression, most patient samples had elevated TDO2 and nuclear AHR (Supplemental Fig. S2G), thus indicating a correlation between nuclear translocation of AHR and Kyn synthesis. Most patients had little to no TPH1 and its product serotonin in their tumor samples, while nearby normal tissue displayed TPH1-positive cells (Fig. 3E,F), which are secretory epithelial cells specialized in producing serotonin, named enterochromaffin cells (ECs) (Supplemental Fig. S2C,E). TPH2, which is normally expressed in enteric neurons, was indeed absent in both normal and tumor tissue (Supplemental Fig. S2F). AHR expression was also elevated in colon cancer samples (Fig. 3G), as reported previously by our laboratory. Elevated levels of the enzymes TDO2, IDO1, and AFMID combined with the Trp transporters SLC1A5 and SLC7A5 in colon cancer patients may lead to increased Trp and Kyn levels in colon cancer cells.
Colon cancer cell lines display increased Trp importers and enzymes in the Kyn pathway
To determine whether the Trp importers, Trp-metabolizing enzymes, and Trp catabolites were up-regulated in colon cancer cells, we compared their levels in DLD1, HCT116, HCT15, RKO, and HT29 colon cancer cells lines with those in h-Tert immortalized normal human colonic epithelial cells (HCECs). In agreement with the data obtained from human samples in the TCGA database, all colon cancer cell lines had elevated levels of the SLC7A5 transporter (Fig. 4A). Surprisingly, only one colon cancer cell line displayed an increase in SLC1A5 when compared with HCECs (Fig. 4A). The Trp-metabolizing enzyme AFMID was elevated in three and reduced in one of the five colon cancer cell lines examined (Fig. 4A). TDO2 was reduced in all of the cancer cells lines except HCT15 (Fig. 4A). IDO1 mRNA expression was extremely low in all lines, preventing reliable conclusions on its relative levels (data not shown). Overall, human colon cancer samples displayed a more robust up-regulation in the expression of Trp transporters and enzymes in the Kyn pathway than cultured colon cancer cell lines, potentially indicating that this pathway is more active in vivo. Nevertheless, cultured colon cancer cell lines examined here had an increase in SLC7A5 and AFMID, indicating that the Kyn pathway is active.
SLC7A5 was the most consistently up-regulated gene in the Trp pathway in cultured colon cancer cell lines, and Western blots confirmed that SLC7A5 protein was dramatically up-regulated in colon cancer cells, while changes in SLC1A5 were more modest (Fig. 4B). To determine whether Trp-related genes are induced during the initial steps of cellular transformation, we compared HCECs and HCECs transformed by the expression of a mutant form of APC that leads to its loss of its tumor suppressive function: the activation of the WNT pathway. Activation of the WNT pathway drives colon cancer in mice in a MYC-dependent manner. We found that the MYC target genes AFMID and SLC1A5, but not SLC7A5, were elevated upon transformation by mutant APC in HCECs (Fig. 4C). To determine whether MYC is responsible for the regulation of these genes, we used siRNA to knock down MYC in HCECs and HCEC-APCs and found that AFMID and SLC1A5 were down-regulated (Fig. 4D). To determine whether MYC regulated the expression of Trp-related genes in established colon cancer cells, we knocked down MYC in DLD1 cells. We found that MYC knockdown dramatically reduced the expression of SLC1A5, SLC7A5, and AFMID (Fig. 4E). Taken together, our results indicate that Trp transporters and Trp-metabolizing enzymes are up-regulated by MYC in colon cancer cells.
MYC increases Trp uptake and metabolism in colonic cells
Comparing colon cancer cell lines and HCECs, we demonstrated that all colon cancer cell lines had elevated Trp (Fig. 5A). This agrees with the elevated levels of Trp transporters in colon cancer cell lines and tissues. Kyn was also elevated in colon cancer cell lines (Fig. 5B). Cinnabarinic acid was not significantly altered in colon cancer cell lines apart from HCT15 and HT29, which had reduced levels (Supplemental Fig. S3A). Xanthurenic acid was elevated in HT29 and DLD1 cells, while kynurenic acid levels were undetectable (Supplemental Fig. S3B). Interestingly, HCT15 displayed the highest levels of AFMID and Kyn but lowest Trp (Figs. 4A, 5A,B), thus suggesting that the Kyn pathway is very active in cell lines with characteristics of HCT15. To determine whether MYC is responsible for increased Trp and Kyn in colon cancer cells, we expressed MYC in HCECs and quantified Trp and Kyn by LC-MS/MS and found that MYC expression caused an increase in Trp and Kyn in HCECs (Fig. 5C).
To better understand Trp metabolism in tumors, we measured the incorporation and processing of stable nonradioactive 13C-labeled Trp in colon cancer cells (Supplemental Fig. S3C). First, we compared the ability of HCECs and HCT15 (which express elevated levels of Trp importers and Trp-metabolizing enzymes) to take up and metabolize Trp by the Kyn pathway. We incubated these cells with Trp isotopically labeled in all carbons (13C-Trp [13C11-L-tryptophan]) for 5 or 30 min (Supplemental Fig. S3D). Methanol-extracted metabolites underwent LC-MS/MS measurement to quantify 13C-Trp and 13C-Kyn (Supplemental Fig. S4E). 13C-Trp was present at a higher concentration in the HCT15 cell line within 5 min after the addition of 13C-Trp to the culture medium (Fig. 5D). This agrees with the higher levels of Trp importers in HCT15 cells than in HCECs (Fig. 4A). 13C-Kyn levels were also elevated after a 5-min incubation with 13C-Trp (Fig. 5D), thus indicating that the conversion of Trp into Kyn is a rapid process. To confirm that transformation of colonic cells by MYC is sufficient to alter the conversion rates of Trp into Kyn, we compared Trp metabolism in HCECs expressing empty vector or MYC. We found that overexpression of MYC increased the conversion of 13C-Trp into 13C-Kyn (Fig. 5E), thus demonstrating that MYC expression regulates Kyn levels in colonic cells.
To determine whether Trp uptake affects the production of Kyn, we incubated HCT15 cells with 13C-Trp for 5 and 30 min in the presence of DMSO or BCH, an inhibitor of L-amino acid import. BCH limited the Trp uptake and reduced the levels of 13C-Trp and 13C-Kyn but did not prevent the conversion of Trp into Kyn (Fig. 5F). Silencing SLC1A5 or SLC7A5 in the colon cancer cell line HCT15 (Fig. 5G) led to a reduction of 13C-Trp and 13C-Kyn observed 1 h after addition of 13C-Trp to the culture medium (Fig. 5H). Because SLC1A5 and SLC7A5 transport several amino acids other than Trp, we asked whether other amino acids compete with Trp for import from the culture medium and whether the presence of other amino acids affects Kyn production. We measured the levels of cellular Trp in HCT15 cells incubated with minimum essential amino acids (MEM) or MEM in combination with nonessential amino acids (NEAAs) and found no difference in the levels of Trp in these two conditions (Supplemental Fig. S4B). We also measured the uptake of 13C-Trp in cells grown in amino acid-free medium alone or in the presence of NEAAs or glutamine, which is transported by SLC1A5 (Supplemental Fig. S4B). We found that providing glutamine does not affect the uptake of 13C-Trp, thus indicating that Trp does not compete with glutamine for amino acid transporter availability (Supplemental Fig. S4B). Adding a mixture of NEAAs did cause a modest reduction in Kyn (Supplemental Fig. S4A) and Trp, which was not statistically significant. Our results indicate that Trp uptake was not significantly affected by the presence of other amino acids, thus suggesting that, under the culture conditions used in our experiments, Trp does not compete with other amino acids to enter cancer cells. However, it is possible that in vivo amino acid competition does play a role in the selective uptake of Trp.
To probe the importance of AFMID to the production of Kyn in colon cancer cells, we knocked down AFMID in colon cancer cells and measured Kyn. Surprisingly, we found that AFMID knockdown led to a reproducible but marginal reduction in Kyn synthesis that did not always meet statistical significance (Supplemental Fig. S4C,D). Given that AFMID is necessary for Kyn synthesis (Fig. 2A), it is possible that siRNA-mediated knockdown was not sufficient to significantly impair AFMID activity. Attempts to generate colon cancer cells lines that have AFMID knocked out have not been successful. Moreover, previous studies based on AFMID knockout mice have suggested that other, yet uncharacterized genes may compensate for the loss of AFMID in some organs, such as the kidneys. Further studies targeted at eliminating AFMID function and investigating the cross-talk between AFMID and other metabolic enzymes will better delineate the role of this enzyme in cancer cells. Taken together, our results suggest that increased Kyn in MYC-dependent cells is caused by augmented Trp uptake and possibly by AFMID-mediated conversion of Trp into Kyn.
Colon cancer tissues have elevated Kyn
To determine whether Trp metabolism is altered in colon cancer, we measured the levels of Trp and its metabolites in human colon cancer and normal tissues using the method described in Figure 1, D and E. We found that colon cancer tissues had Kyn levels that were ≥1.5-fold higher than their surrounding normal mucosa, while Trp levels were more variable (Fig. 6A,B). Using the same LC-MS/MS platform, we also measured the levels of other stable Trp metabolites downstream from Kyn (kynurenic acid, cinnabarinic acid, xanthurenic acid, and 3-hydroxyantharanilic acid) in addition to serotonin and melatonin. Colonic tissue had undetectable levels of melatonin and 3-hydroxyxantharanilic acid (data not shown), while kynurenic acid levels were 100 times lower than Kyn (Fig. 6C), and cinnabarinic acid was >1000 times lower than Kyn (Fig. 6D). Serotonin levels were ∼20 times lower than Kyn (Fig. 6E). Levels of Kyn were variable among patients; however, when normalizing Kyn concentrations in tumors by normal mucosa of the same patients, Kyn was elevated in nearly 80% of the patients (Fig. 6F). Cinnabarinic acid, kynurenic acid, and serotonin levels were elevated in ∼50% of the patients (Fig. 6F). Kyn was present at much a higher concentration than other Trp metabolites in colon cancer, and Trp and Kyn were found at equimolar concentrations in colon cancer (Supplemental Fig. S4E). Our method provides a quantitative tool to determine absolute levels of Trp metabolites in human tissues, and our results agree with a previous study showing that colon cancer patients display an increase in circulating levels of Trp metabolites and increased IHC signal with an anti-Kyn antibody.
The best-studied role for Kyn is its ability to function as a ligand of AHR. Therefore, we asked whether Kyn regulates AHR activity in colon cancer cells. Because Kyn is a precursor of downstream catabolites, we compared Kyn, kynurenic acid, cinnabarinic acid, picolinic acid, and quinolinic acid for their ability to increase the nuclear pool of AHR after 20 min of incubation. We found that only Kyn was capable of inducing nuclear translocation of AHR in colon cancer cells (Fig. 6G). These data agree with data from a study showing that Kyn is the only Trp metabolite capable of inducing activation of an AHR reporter plasmid, as shown previously in other cell types. Treating additional colon cancer cells with Kyn also promoted AHR nuclear translocation (Fig. 6H) and induced the expression of the canonical of AHR target gene CYP1A1 (Fig. 6I). These results indicated that Kyn is elevated in colon cancer, where it activates signaling via AHR.
Colon cancer cells are sensitive to inhibitors of the Kyn pathway
To determine the importance of Kyn to the growth of colon cancer cells, we compared the growth of normal HCECs and colon cancer cell lines in the presence of pharmacological inhibitors of TDO2 (680C91) and IDO (epacadostat). For these experiments, HCECs and colon cancer cell lines were seeded at low density, and, 24 h later, the culture medium was replaced by medium containing the indicated inhibitors. Cells were quantified 3 d later (Fig. 7A,B; Supplemental Figs. S5–S7). Colon cancer cells lines were more sensitive to TDO2 and IDO inhibition than HCECs (Fig. 7A,B). HCT15 cells expressed high levels of TDO2 (Fig. 4A) and were more sensitive to TDO2 inhibition than IDO inhibition (Fig. 7A,B). To determine whether this reduction in cell number was caused by cell death or cell cycle arrest, we performed cell cycle analysis using flow cytometry. We treated colon cancer cells lines with epacadostat or 680C91 for 3 d, after which the cells were harvested and stained with propidium iodide (PI) (Supplemental Fig. S5A,B). Treatment with inhibitors of IDO and TDO led to cell death and/or cell cycle arrest (Supplemental Fig. S5A,B). These inhibitors also reduced the levels of nuclear AHR in colon cancer cells, such as DLD1 (Supplemental Fig. S8A), as expected.
Because NAD+ is the final product of Kyn degradation, we asked whether NAD(H) levels were globally altered by treatment with TDO/IDO inhibitors and whether NAD(H) reconstitution was capable of rescuing cell death caused by these inhibitors. To determine the contribution of the Kyn pathway to NAD+ levels, we measured NAD(H) in HCT15 and DLD1 colon cancer cells treated with the inhibitors of TDO2 and IDO for 24 h (Supplemental Fig. S9A–C). H2O2, used as a control in our experiments, caused a dramatic reduction in NAD(H) levels, as expected (Supplemental Fig. S9A–C). However, incubation of DLD1 and HCT15 cells with 680C91 or epacadostat had no effect on the total NAD(H) levels, thus indicating that the Kyn pathway does not significantly contribute to NAD+ production in these colon cancer cell lines under the culture conditions used in our experiments. We also attempted to rescue cell death caused by 680C91, epacadostat, and the AHR inhibitor CH223191 with the NAD precursor nicotinamide mononucleotide (NMN). We found that NMN modestly increased the growth of some colon cancer cells incubated with DMSO or CH223191 but did not rescue cell death caused by the IDO/TDO inhibitors (Supplemental Fig. S9D–F). We interpreted these results to indicate that NMN facilitates the growth of some colon cancer cells (Supplemental Fig. S9) but cannot specifically prevent cell death caused by TDO and IDO inhibition.
To determine whether the growth-promoting ability of Kyn relies on AHR activation, we used the inhibitor of AHR, CH223191, which prevents the binding of AHR to its ligands. Treating colon cancer cells (such as DLD1) that contain AHR in the nucleus (Supplemental Fig. S8B) with CH223191 antagonized nuclear translocation of AHR by Kyn (Supplemental Fig. S8C). Indeed, CH223191 was sufficient to down-regulate the expression of the AHR target gene CYP1A1 (Fig. 6I). Importantly, colon cancer cells were more sensitive than HCECs to incubation with CH223191 (Fig. 7C). To determine whether this decrease in cell number was caused by cell death or reduced proliferation, we examined the cell cycle distribution by flow cytometry of cells treated with CH223191 and found that treatment with CH223191 led to cell cycle arrest (Supplemental Fig. S5).
We then tested the effects of epacadostat, 680C91, and CH223191 on the growth of the colon cancer cells HCT15 and HCT116 in soft agar. For this experiment, single cells were embedded in 0.3% agar and medium containing 1% serum with the inhibitors. Colonies were quantified 4 wk later and demonstrated that, as for 2D cultures, 3D soft agar-growing cells are sensitive to inhibition of the Kyn–AHR pathway (Fig. 7D–G). 3D cultures were more sensitive to CH223191 than cells grown in 2D. For example, HCT15 cells were not affected by CH223191 in 2D culture, but their growth was prevented by the treatment of these cells when grown in soft agar (Fig. 7D,E), indicating that the Kyn–AHR pathway may play a more prevalent role in cells grown in 3D culture and in vivo.
Organoids have become powerful tools to recapitulate critical aspects of tissue architecture and function in vitro. Therefore, we used mouse colonic organoid cultures transformed by the loss of APC, knockout of P53, and expression of mutant KRAS (AKP) to determine the importance of the Kyn pathway. For this experiment, we plated equal cell numbers, allowed organoids to grow for 24 h, and then replaced the culture medium to contain either DMSO, epacadostat, 680C91, or CH223191. We found that all three drugs caused a decrease in organoid size and number (Fig. 7H). Similar results were obtained when growing these AKP organoids attached to tissue culture plates as 2D cultures (Fig. 7I,J), thus suggesting that our 2D results are informative and may reflect in vivo sensitivity to inhibition of the Kyn pathway. Importantly, as for the 3D soft agar growth, AKP cells grown as 3D cultures were more sensitive to CH223191 than cells in 2D.
Because colon cancer cells had an increase in Trp transporters (Fig. 3B) and elevated intracellular Trp and Kyn, we asked whether colon cancer cell lines have increased demand for Trp to support proliferation. We cultured colon cancer cell lines and HCECs in complete medium or medium lacking Trp for 3 d and found that colon cancer cell lines were, in general, more sensitive than HCECs to Trp depletion (Supplemental Fig. S10A). Flow cytometry cell cycle analyses of DLD1 colon cells grown in Trp-free medium for 3 d demonstrated an increased apoptosis (Supplemental Fig. S10B), thus confirming that Trp starvation promotes cell death in colon cancer cells. Silencing the Trp transporters SLC1A5 and SLC7A5 also reduced the viability of DLD1, HCT15, and HCT116 cells (Supplemental Fig. S10C). As expected, MYC-expressing cells, similar to transformed colon cancer cells, were more sensitive than myc−/− cells to Trp depletion (Supplemental Fig. S10D). In addition, blocking TDO2 function with the inhibitor LM10 caused the preferential death of MYC-expressing cells (Supplemental Fig. S10E), thus suggesting that cells overexpressing MYC depend on Kyn. Thus, our results indicate that Kyn is necessary to sustain the proliferative state of colon cancer cells at least in part by promoting AHR nuclear translocation and transcriptional activation.
Discussion
Our results show that colon cancer cells have an increased ability to obtain Trp and to process it by the Kyn pathway. This is driven by increased expression of Trp transporters (such as SLC7A5 and SLC1A5) and potentially the enzymes in the Kyn pathway (AFMID) (Fig. 7K). We demonstrated that both uptake and processing of Trp can be enhanced by the overexpression of a single oncogene: MYC. MYC expression is sufficient to induce the transcription of one or both Trp transporters and enzymes in the Kyn pathway. While the specific Trp transporters and enzymes induced by MYC varied according to cell types, we invariably observed that at least one transporter and one of the enzymes involved in converting Trp into Kyn were up-regulated by MYC expression in various cell types.
Aberrant up-regulation of any MYC family member (MYC, MYCN, or MYCL) promotes metabolic reprograming that leads to sustained proliferation of cancer cells. Because MYC is a universal oncogene, there have been several attempts to develop inhibitors that block MYC functions specifically in tumors. However, MYC is still considered an undruggable protein.
A novel and promising approach to target MYC-dependent cancer cells is based on interfering with metabolic pathways triggered by hyperactivated MYC. Seminal studies have shown that MYC regulates genes known to enhance glutamine and glucose uptake and processing to fuel the TCA cycle and to produce building blocks for proliferation. Indeed, glutamine was proposed to function as an essential amino acid specifically in cancer cells. While altered glutamine metabolism is well documented in tumors from multiple origins, the cancer-specific alterations in the metabolism of essential amino acids are not fully understood and may provide critical information on the unique nutritional and metabolic needs of rapidly proliferating cancer cells.
Results presented here and our previously published work indicate that MYC drives a concomitant increase in Kyn and AHR, suggesting that the Kyn–AHR pathway is activated in MYC transformed cells. Interestingly, only Kyn (the most abundant Trp metabolite present in tumors) and no other Trp metabolites was capable of inducing translocation of AHR into the nucleus of colon cancer cells. Other Trp catabolites downstream from Kyn may perform yet uncharacterized functions in cellular biology and may affect the viability of cancer cells. Indeed, inhibiting Kyn synthesis had more dramatic effects on viability of colon cancer cells than inhibiting the binding of AHR to Kyn. Future investigations targeted at understanding AHR-independent functions of all Kyn catabolites will advance our understanding of the role of Kyn as an oncometabolite.
Previous studies have focused largely on the role of Kyn as a tumor-secreted metabolite that leads to T-cell inactivation, which prevents cancer cell clearance. Here, however, we demonstrate that Kyn plays a cell-autonomous role in maintaining colon cancer cell proliferation. Indeed, a recent study demonstrated that conditional knockout of the IDO1 gene specifically in colonic cells limits colon cancer development in mice.
Oncogenic transformation by MYC (and other oncogenes) often leads to an increase in the uptake of essential amino acids. However, due to the redundancies in the transporting system and their requirement for normal cell physiology, targeting Trp uptake is not likely to become an exclusive route to specifically eliminate cancer cells. Interestingly, cancer cells displayed an up-regulation of either TDO2 or AFMID (the expression of IDO1 was extremely low in our samples). These results suggest that defining the specific enzymes in the Kyn pathway present in colon cancer patients could inform the choice of inhibitors used to treat these patients and improve the chances of success. Moreover, HPLC-MS methods developed to accurately quantify all stable Trp metabolites in cells and tissues could become the basis to develop a workflow to monitor Kyn and other Trp metabolites during the course of tumorigenesis and to determine whether circulating Trp metabolites might serve as diagnostic or prognostic tools for colon cancer patients.
Cell culture
The colonic cell lines DLD1, HT29, HCT116, HCT15, RKO, LoVo (American Type Culture Collection), and HCEC1 CT and the epithelial cell line ARPE-19 were grown in DMEM (4500 mg/L glucose) and sodium bicarbonate without L-glutamine and sodium pyruvate and supplemented with 5% fetal bovine serum. HFFs and myc−/− Rat1 fibroblasts and were grown in DMEM supplemented with 10% serum. For the Trp starvation experiments, DMEM F-12 lacking Trp was used (US Biologicals). Recombinant lentiviruses were produced by transfecting HEK293T Phoenix-amphotropic packaging cells with pMD2G (VSV-G protein), pPAX2 (lentivirus packaging vector), and lentiviral constructs using Lipofectamine 3000.
Cell viability and flow cytometry
For cell viability assays, 10,000 cells were plated in triplicates in 24-well plates prior to siRNA transfection or exposure to pharmacological inhibitors. For knockdown experiments, 40 nM siRNA was used, and the cells were transfected using Lipofectamine RNAi Max. Inhibitors were used at the concentrations indicated in each experiment. For experiments using pharmacological inhibitors, cells were grown in 1% serum medium in the presence of inhibitors or DMSO. After 72 h, the cells were fixed and stained with 0.1% crystal violet dissolved in 20% methanol. The plates were washed three times and destained with 10% acetic acid, and the absorbance of this solution was measured at OD570 to obtain relative viability. For the Trp starvation experiments, 10,000 cells were plated in DMEM supplemented with 5% serum. After 24 h, the medium was replaced by DMEM containing 1% serum with or without 75 µM Trp. The cells were fixed 72 h after replacing the medium and stained as described. Kyn, DMSO, and other metabolites were added directly into the cell culture medium at a concentration of 20 µM for the indicated time points. CH223191 and LM10 were used at 10 µM. The inhibitors 680C91 and epacodostat were used at concentrations ranging from 5 to 100 µM.
For flow cytometry experiments, 1 × 105 cells were grown overnight, and the medium was replaced by DMEM lacking Trp (US Biologicals) or with 75 µM Trp. Cells were cultured for 72 h, and both floating cells and the adherent cells were harvested, fixed in 70% ice-cold ethanol for 2 h at 4°C, and stained with 200 µL of 50 µg/mL stock of PI in the presence of 100 µg/mL RNase. PI emission was measured at 605 nm, and the data were analyzed using FlowJo.
Growth in soft agar
For soft agar growth, the bottom layer was prepared with 1% agar and mixed (1:1) with DMEM with 10% serum. The top layer was prepared with 0.6% agar and mixed (1:1) with DMEM with 2% serum. Next, 1 × 103 cells were plated in six-well plates in duplicates in DMEM containing 1% serum and the indicated inhibitors. Media were replaced every 4 d, and the colonies were allowed to grow for 4 wk. Colonies were imaged, fixed with 10% formalin, stained with 0.01% crystal violet in 20% methanol, and quantified.
Organoid culture and growth
Mouse organoids were generated from the following backgrounds: APC−/− (CRISPR), p53−/− (floxed allele, excised), KRasG12D (activated from LSL-KRasG12D), and TdTomato red (From Rosa-LSL-TdTomato). AKP organoids were maintained at 37°C as 3D spheroid culture in Matrigel. These were cultured in advanced DMEM/Ham's F-12 supplemented with 1× penicillin/streptomycin and 1×/2 mM glutamax. Minimal basal medium supplemented with 1× B27 and 10 µM Y-27632 was used for Matrigel drops. Organoids were passaged by removing the medium and breaking the Matrigel with PBS. Organoids were then trypsinized for 90 sec at 37°C in a water bath with 1× TrypLE (Express Enzyme; no phenol red), and single cells were pelleted and resuspended in minimal medium (33% of desired plating volume) and Matrigel (Fisher; 66% of desired plating volume). Cells were plated in drops of 10–15 µL.
For organoid formation, AKP organoids were seeded at 13,000 single cells per drop in 12-well plates. Organoids were allowed to grow for 24 h and were incubated with DMSO, 25 µM 680091, and 10 µM CH-223191. Pictures were taken every 24 h and analyzed. Media were changed every 48 h. For 2D growth of the AKP, cells were seeded in six-well cell culture dishes at 50,000 cells per well. Cells were maintained in DMEM high glucose supplemented with 1× penicillin/streptomycin and 1% FBS. For viability experiments, cells were allowed to attach for 6 h after trypsinization and were incubated with DMSO, 25 µM 680091, or 10 µM CH-223191. Pictures were taken every 24 h and analyzed. Plates were stained with crystal violet 2 d after incubation, and relative cell growth was quantified.
Western blotting, RT-qPCR, and TCGA analyses
Total protein extracts were prepared in RIPA buffer (1× TBS, 1% Nonidet P-40, 0.5% sodium deoxycholate, 0.1% SDS, 0.004% sodium azide with protease inhibitors). Cytoplasmic fractions were isolated using buffer A (10 mM HEPES, 60 mM KCl, 1 mM EDTA, 0.075% [v/v] NP-40 with protease inhibitors). The remaining pellet was washed twice before being resuspended in buffer A and sonicated to yield the nuclear fraction. Protein lysates (20 µg) were processed for Western blotting. RNA was extracted using the RNA extraction kit (Qiagen). Complementary DNA was generated by SuperScript III (Invitrogen) and used with SYBR Green PCR master mix (Applied Biosystem) for qRT-PCR analysis. The mRNA content was normalized to RPS18. All assays were performed using an Applied Biosystems Prism 7900HT sequence detection system. For each mRNA assessment, RT-qPCR analyses were performed at least twice, each time with an n = 3. All primers used for RT-qPCR are listed in Supplemental Table S2, and antibodies are listed in Supplemental Table S3.
Normalized gene expression data for colon cancer were downloaded from the TCGA Research Network. Comparison of tumor and normal samples were performed on samples that had matched normal samples. Significance testing between groups was performed using nonparametric Kruskal-Wallis test.
LC-MS/MS quantification of Trp metabolites
Qualitative assessment of global metabolites by MS (metabolomics) was performed by the Metabolomics Facility at the Children's Research Institute (University of Texas Southwestern) as described previously. Colon cancer tissues were obtained from the University of Texas Southwestern Harold C. Simmons Comprehensive Cancer Center Biorepository Bank. Deidentified samples were obtained under the Institutional Review Board-approved study from the repository center (STU 102010-051). Only patient-matched normal and tumor tissues were used. Time from dissection to freezing was strictly maintained, and cold ischemia time was recorded. Tissues were sonicated and extracted with 80% methanol.
For the cell line studies, the cells were grown in triplicate in 10-cm dishes and, 48 h after plating, were extracted with 1 mL of 80% methanol and spun. The supernatants of the cell lines or tissues were dried using speed vac and were used to measure metabolite concentration. Protein levels were measured using an untreated replica plate for each cell line unless specified in the legend. Dried methanol extractions were dissolved in a resuspension solution consisting of ddH20 containing the internal standard L-Trp-2′,4′,5′,6′,7′-d5 (“d5 Trp” from CDN Isotopes) for 10 min at room temperature, vortexed, and then incubated for 10 min at 37°C. Standards were made by combining equal amounts of untreated samples as a background matrix. The standard mix was diluted with resuspension solution at 1:5000 for Kyn, cinnabarinic acid, and xanthurenic acid standards and 1:20,000 for Trp, kynurenic acid, and serotonin standards. The dilution was optimized to give a signal in blank matrix that was detectable by LC-MS/MS but below the targeted limit of quantitation for each metabolite. A standard curve was prepared by spiking diluted blank matrix with authentic metabolite standards, and the value in blank matrix was then subtracted from each point. The subtracted values were plotted in GraphPad with a quadratic line fit with an r2 value >0.98. Standard curves contained a minimum of six points (at least two-thirds of total points) that, upon back calculation, were within 15% of theoretical. Triplicate values were inspected for outliers using a Grubbs test (GraphPad). Values were normalized to cellular protein content. Metabolite levels were determined by LC-MS/MS using quantitative MRM methods as developed previously on a Sciex 4000QTRAP or QTRAP6500+ mass spectrometer coupled to Shimadzu liquid chromatography systems. MS/MS transitions evaluated were as follows: Kyn, 209.063–94.2; Trp, 205.09–188.0; cinnabarinic acid, 300.99–283; 3-hydroxyanthranillic acid, 153.848–136.1; kynurenic acid, 189.962–144.1; melatonin, 233.023–174.1; serotonin, 176.998–160; xanthurenic acid, 210.206–192.4; and d5-Trp, 210.206–192.40. Samples were separated on a Phenomenex Synergi Polar-RP column (2.0 × 150 mm, 4-µm packing) using reverse phase chromatography with water and acetonitrile, each containing 0.2% acetic acid.
Measurements of 13C-Trp and NAD(H)
Cell lines were grown in 10-cm dishes overnight in triplicate, spiked with 75 µM 13C-Trp (Cambridge Isotope Laboratories), and harvested 5 and 30 min after the Trp addition. Cell lysates were then extracted with 0.5 mL of 80% methanol and processed and analyzed as described above. Protein levels were measured for each sample and used to normalize the amounts of each metabolite. 13C-Trp was detected with a 216.0–126.0 transition, while 13C-Kyn was detected as the 219.1–202.0 transition. Because 13C-Kyn did not have an authentic standard, values were reported as Analyte/IS peak area normalized to cellular protein content.
For NAD(H) measurements, 1 × 104 cells were plated per well in a 96-well plate in triplicates. The cells were plated on day 1, and, the next day, inhibitors at the indicated concentrations were added for overnight incubation. Next, 5 mM H2O2 was added 30 min before lysing the cells. Total NAD(H) measurements were performed as described previously: Briefly, cells were washed three times in cold PBS, extracted in 100 µL of cold lysis buffer (1% dodecyltrimethylammonium bromide [DTAB] in 0.2 N NaOH diluted 1:1 with PBS), and immediately placed on ice. After collection, samples were equilibrated for 10 min to room temperature. Per the manufacturer's instructions, 20 µL of the sample were used to quantitate total NAD(H) using the NAD/NADH-Glo assay kit (Promega, G9071), and luminescence values were normalized by total protein amount. For all experiments, SEM were calculated from triplicate measurements of independent samples for each experimental group, and P-values were calculated using Student's t-test (two-sided).
IHC and immunofluorescence
For IHC, 4-mm sections were deparaffinized, rehydrated, and pretreated for 10 min in a microwave (or pressure cooker) in Dako buffer (pH 6; Dako). Samples were then incubated overnight at 4°C with the indicated primary antibodies diluted in RPMI 1640 + 10% bovine serum. Slides were washed twice with TBS/0.1% Tween 20 and then developed with the EnVision system (Dako). Immunofluorescence staining was performed in Labtek 4 chamber slides. Cells were fixed with 4% paraformaldehyde, permeabilized with 0.5% Triton X-100, and blocked with 2% BSA for 1 h at room temperature. Samples were incubated with primary antibody for 1 h at room temperature or overnight at 4°C. Alexa fluor secondary antibody (1:500) was used. DAPI (1 µg/mL) was used to visualize the nucleus. The Kyn antibody was tested for specificity by incubating 1:3 (10 mM Kyn + Kyn antibody) for 30 min before adding to the fixed cells.
References 74
- 1.
Abedin SM, Boddy CS, Munshi HG. 2016. BET inhibitors in the treatment of hematologic malignancies: current insights and future prospects. Onco Targets Ther 9: 5943–5953.
Not in our library10.2147/ott.s100515
- 2.
Adams S, Braidy N, Bessede A, Brew BJ, Grant R, Teo C, Guillemin GJ. 2012. The kynurenine pathway in brain tumor pathogenesis. Cancer Res 72: 5649–5657.
Not in our library10.1158/0008-5472.can-12-0549
- 3.
- 4.
Alghamdi S, Khan I, Beeravolu N, McKee C, Thibodeau B, Wilson G, Chaudhry GR. 2016. BET protein inhibitor JQ1 inhibits growth and modulates WNT signaling in mesenchymal stem cells. Stem Cell Res Ther 7: 22.
Not in our library10.1186/s13287-016-0278-3
- 5.
Andersson P, McGuire J, Rubio C, Gradin K, Whitelaw ML, Pettersson S, Hanberg A, Poellinger L. 2002. A constitutively active dioxin/aryl hydrocarbon receptor induces stomach tumors. Proc Natl Acad Sci 99: 9990–9995.
Not in our library10.1073/pnas.152706299
- 6.
Anso E, Mullen AR, Felsher DW, Matés JM, Deberardinis RJ, Chandel NS. 2013. Metabolic changes in cancer cells upon suppression of MYC. Cancer Metab 1: 7.
Not in our library10.1186/2049-3002-1-7
- 7.
Badawy AA. 2017. Kynurenine pathway of tryptophan metabolism: regulatory and functional aspects. Int J Tryptophan Res 10: 1178646917691938.
Not in our library10.1177/1178646917691938
- 8.
Baganz NL, Blakely RD. 2013. A dialogue between the immune system and brain, spoken in the language of serotonin. ACS Chem Neurosci 4: 48–63.
Not in our library10.1021/cn300186b
- 9.
Beroukhim R, Mermel CH, Porter D, Wei G, Raychaudhuri S, Donovan J, Barretina J, Boehm JS, Dobson J, Urashima M, 2010. The landscape of somatic copy-number alteration across human cancers. Nature 463: 899–905.
Not in our library10.1038/nature08822
- 10.
Bersten DC, Sullivan AE, Peet DJ, Whitelaw ML. 2013. bHLH-PAS proteins in cancer. Nat Rev Cancer 13: 827–841.
Not in our library10.1038/nrc3621
- 11.
Bishnupuri KS, Alvarado DM, Khouri AN, Shabsovich M, Chen B, Dieckgraefe BK, Ciorba MA. 2019. IDO1 and kynurenine pathway metabolites activate PI3K-Akt signaling in the neoplastic colon epithelium to promote cancer cell proliferation and inhibit apoptosis. Cancer Res 79: 1138–1150.
Not in our library10.1158/0008-5472.can-18-0668
- 12.
Bornstein JC. 2012. Serotonin in the gut: what does it do? Front Neurosci 6: 16.
Not in our library10.3389/fnins.2012.00016
- 13.
Boros FA, Bohár Z, Vécsei L. 2018. Genetic alterations affecting the genes encoding the enzymes of the kynurenine pathway and their association with human diseases. Mutat Res 776: 32–45.
Not in our library10.1016/j.mrrev.2018.03.001
- 14.
Brandacher G, Perathoner A, Ladurner R, Schneeberger S, Obrist P, Winkler C, Werner ER, Werner-Felmayer G, Weiss HG, Gobel G, 2006. Prognostic value of indoleamine 2,3-dioxygenase expression in colorectal cancer: effect on tumor-infiltrating T cells. Clin Cancer Res 12: 1144–1151.
Not in our library10.1158/1078-0432.ccr-05-1966
- 15.
Brodeur GM, Seeger RC, Schwab M, Varmus HE, Bishop JM. 1984. Amplification of N-myc in untreated human neuroblastomas correlates with advanced disease stage. Science 224: 1121–1124.
Not in our library10.1126/science.6719137
- 16.
- 17.
Choi EY, Lee H, Dingle RW, Kim KB, Swanson HI. 2012. Development of novel CH223191-based antagonists of the aryl hydrocarbon receptor. Mol Pharmacol 81: 3–11.
Not in our library10.1124/mol.111.073643
- 18.
Cibrian D, Saiz ML, de la Fuente H, Sánchez-Díaz R, Moreno-Gonzalo O, Jorge I, Ferrarini A, Vázquez J, Punzón C, Fresno M, 2016. CD69 controls the uptake of L-tryptophan through LAT1-CD98 and AhR-dependent secretion of IL-22 in psoriasis. Nat Immunol 17: 985–996.
Not in our library10.1038/ni.3504
- 19.
- 20.
Date S, Sato T. 2015. Mini-gut organoids: reconstitution of the stem cell niche. Annu Rev Cell Dev Biol 31: 269–289.
Not in our library10.1146/annurev-cellbio-100814-125218
- 21.
DiNatale BC, Murray IA, Schroeder JC, Flaveny CA, Lahoti TS, Laurenzana EM, Omiecinski CJ, Perdew GH. 2010. Kynurenic acid is a potent endogenous aryl hydrocarbon receptor ligand that synergistically induces interleukin-6 in the presence of inflammatory signaling. Toxicol Sci 115: 89–97.
Not in our library10.1093/toxsci/kfq024
- 22.
Dobrovolsky VN, Bowyer JF, Pabarcus MK, Heflich RH, Williams LD, Doerge DR, Arvidsson B, Bergquist J, Casida JE. 2005. Effect of arylformamidase (kynurenine formamidase) gene inactivation in mice on enzymatic activity, kynurenine pathway metabolites and phenotype. Biochim Biophys Acta 1724: 163–172.
Not in our library10.1016/j.bbagen.2005.03.010
- 23.
Essa MM, Subash S, Braidy N, Al-Adawi S, Lim CK, Manivasagam T, Guillemin GJ. 2013. Role of NAD+, oxidative stress, and tryptophan metabolism in autism spectrum disorders. Int J Tryptophan Res 6: 15–28.
Not in our library10.4137/ijtr.s11355
- 24.
Filippakopoulos P, Qi J, Picaud S, Shen Y, Smith WB, Fedorov O, Morse EM, Keates T, Hickman TT, Felletar I, 2010. Selective inhibition of BET bromodomains. Nature 468: 1067–1073.
Not in our library10.1038/nature09504
- 25.
Gershon MD. 2012. Serotonin is a sword and a shield of the bowel: serotonin plays offense and defense. Trans Am Clin Climatol Assoc 123: 268–280.
Not in our library
- 26.
Hart JR, Garner AL, Yu J, Ito Y, Sun M, Ueno L, Rhee JK, Baksh MM, Stefan E, Hartl M, 2014. Inhibitor of MYC identified in a Krohnke pyridine library. Proc Natl Acad Sci 111: 12556–12561.
Not in our library10.1073/pnas.1319488111
- 27.
Hatton KS, Mahon K, Chin L, Chiu FC, Lee HW, Peng D, Morgenbesser SD, Horner J, DePinho RA. 1996. Expression and activity of L-Myc in normal mouse development. Mol Cell Biol 16: 1794–1804.
Not in our library10.1128/mcb.16.4.1794
- 28.
Heng B, Lim CK, Lovejoy DB, Bessede A, Gluch L, Guillemin GJ. 2016. Understanding the role of the kynurenine pathway in human breast cancer immunobiology. Oncotarget 7: 6506–6520.
Not in our library10.18632/oncotarget.6467
- 29.
Hsieh AL, Walton ZE, Altman BJ, Stine ZE, Dang CV. 2015. MYC and metabolism on the path to cancer. Semin Cell Dev Biol 43: 11–21.
Not in our library10.1016/j.semcdb.2015.08.003
- 30.
Huang F, Zhao Y, Zhao J, Wu S, Jiang Y, Ma H, Zhang T. 2014. Upregulated SLC1A5 promotes cell growth and survival in colorectal cancer. Int J Clin Exp Pathol 7: 6006–6014.
Not in our library
- 31.
Hughes T, Briercheck EL, Freud AG, Trotta R, McClory S, Scoville SD, Keller K, Deng Y, Cole J, Harrison N, 2014. The transcription factor AHR prevents the differentiation of a stage 3 innate lymphoid cell subset to natural killer cells. Cell Rep 8: 150–162.
Not in our library10.1016/j.celrep.2014.05.042
- 32.
Hurlin PJ. 2013. Control of vertebrate development by MYC. Cold Spring Harb Perspect Med 3: a014332.
Not in our library10.1101/cshperspect.a014332
- 33.
Koliopanos A, Kleeff J, Xiao Y, Safe S, Zimmermann A, Büchler MW, Friess H. 2002. Increased arylhydrocarbon receptor expression offers a potential therapeutic target for pancreatic cancer. Oncogene 21: 6059–6070.
Not in our library10.1038/sj.onc.1205633
- 34.
Lafita-Navarro MC, Kim M, Borenstein-Auerbach N, Venkateswaran N, Hao YH, Ray R, Brabletz T, Scaglioni PP, Shay JW, Conacci-Sorrell M. 2018. The aryl hydrocarbon receptor regulates nucleolar activity and protein synthesis in MYC-expressing cells. Genes Dev 32: 1303–1308.
Not in our library10.1101/gad.313007.118
- 35.
Liu W, Le A, Hancock C, Lane AN, Dang CV, Fan TW, Phang JM. 2012. Reprogramming of proline and glutamine metabolism contributes to the proliferative and metabolic responses regulated by oncogenic transcription factor c-MYC. Proc Natl Acad Sci 109: 8983–8988.
Not in our library10.1073/pnas.1203244109
- 36.
Liu JJ, Raynal S, Bailbé D, Gausseres B, Carbonne C, Autier V, Movassat J, Kergoat M, Portha B. 2015. Expression of the kynurenine pathway enzymes in the pancreatic islet cells. Activation by cytokines and glucolipotoxicity. Biochim Biophys Acta 1852: 980–991.
Not in our library10.1016/j.bbadis.2015.02.001
- 37.
Liu Y, Liang X, Dong W, Fang Y, Lv J, Zhang T, Fiskesund R, Xie J, Liu J, Yin X, 2018. Tumor-repopulating cells induce PD-1 expression in CD8+ T cells by transferring kynurenine and AhR activation. Cancer Cell 33: 480–494.e7.
Not in our library10.1016/j.ccell.2018.02.005
- 38.
Löb S, Königsrainer A, Rammensee HG, Opelz G, Terness P. 2009. Inhibitors of indoleamine-2,3-dioxygenase for cancer therapy: can we see the wood for the trees? Nat Rev Cancer 9: 445–452.
Not in our library10.1038/nrc2639
- 39.
Lovelace MD, Varney B, Sundaram G, Lennon MJ, Lim CK, Jacobs K, Guillemin GJ, Brew BJ. 2017. Recent evidence for an expanded role of the kynurenine pathway of tryptophan metabolism in neurological diseases. Neuropharmacology 112: 373–388.
Not in our library10.1016/j.neuropharm.2016.03.024
- 40.
McKeown MR, Bradner JE. 2014. Therapeutic strategies to inhibit MYC. Cold Spring Harb Perspect Med 4: a014266.
Not in our library10.1101/cshperspect.a014266
- 41.
Metz R, Duhadaway JB, Kamasani U, Laury-Kleintop L, Muller AJ, Prendergast GC. 2007. Novel tryptophan catabolic enzyme IDO2 is the preferred biochemical target of the antitumor indoleamine 2,3-dioxygenase inhibitory compound D-1-methyl-tryptophan. Cancer Res 67: 7082–7087.
Not in our library10.1158/0008-5472.can-07-1872
- 42.
Mezrich JD, Fechner JH, Zhang X, Johnson BP, Burlingham WJ, Bradfield CA. 2010. An interaction between kynurenine and the aryl hydrocarbon receptor can generate regulatory T cells. J Immunol 185: 3190–3198.
Not in our library10.4049/jimmunol.0903670
- 43.
Mihaylova MM, Cheng CW, Cao AQ, Tripathi S, Mana MD, Bauer-Rowe KE, Abu-Remaileh M, Clavain L, Erdemir A, Lewis CA, 2018. Fasting activates fatty acid oxidation to enhance intestinal stem cell function during homeostasis and aging. Cell Stem Cell 22: 769–778.e4.
Not in our library10.1016/j.stem.2018.04.001
- 44.
Mohammadi-Bardbori A, Omidi M, Arabnezhad MR. 2019. Impact of CH223191-induced mitochondrial dysfunction on its aryl hydrocarbon receptor agonistic and antagonistic activities. Chem Res Toxicol 32: 691–697.
Not in our library10.1021/acs.chemrestox.8b00371
- 45.
- 46.
Murray IA, Patterson AD, Perdew GH. 2014. Aryl hydrocarbon receptor ligands in cancer: friend and foe. Nat Rev Cancer 14: 801–814.
Not in our library10.1038/nrc3846
- 47.
Nau MM, Brooks BJ, Battey J, Sausville E, Gazdar AF, Kirsch IR, McBride OW, Bertness V, Hollis GF, Minna JD. 1985. L-myc, a new myc-related gene amplified and expressed in human small cell lung cancer. Nature 318: 69–73.
Not in our library10.1038/318069a0
- 48.
Opitz CA, Litzenburger UM, Sahm F, Ott M, Tritschler I, Trump S, Schumacher T, Jestaedt L, Schrenk D, Weller M, 2011. An endogenous tumour-promoting ligand of the human aryl hydrocarbon receptor. Nature 478: 197–203.
Not in our library10.1038/nature10491
- 49.
- 50.
Patel M, Dalvi P, Gokulgandhi M, Kesh S, Kohli T, Pal D, Mitra AK. 2013. Functional characterization and molecular expression of large neutral amino acid transporter (LAT1) in human prostate cancer cells. Int J Pharm 443: 245–253.
Not in our library10.1016/j.ijpharm.2012.12.029
- 51.
Platten M, Nollen EAA, Rohrig UF, Fallarino F, Opitz CA. 2019. Tryptophan metabolism as a common therapeutic target in cancer, neurodegeneration and beyond. Nat Rev Drug Discov 18: 379–401.
Not in our library10.1038/s41573-019-0016-5
- 52.
- 53.
Puccetti P, Fallarino F, Italiano A, Soubeyran I, MacGrogan G, Debled M, Velasco V, Bodet D, Eimer S, Veldhoen M, 2015. Accumulation of an endogenous tryptophan-derived metabolite in colorectal and breast cancers. PLoS One 10: e0122046.
Not in our library10.1371/journal.pone.0122046
- 54.
Sansom OJ, Meniel VS, Muncan V, Phesse TJ, Wilkins JA, Reed KR, Vass JK, Athineos D, Clevers H, Clarke AR. 2007. Myc deletion rescues Apc deficiency in the small intestine. Nature 446: 676–679.
Not in our library10.1038/nature05674
- 55.
- 56.
Sordillo PP, Sordillo LA, Helson L. 2017. The kynurenine pathway: a primary resistance mechanism in patients with glioblastoma. Anticancer Res 37: 2159–2171.
Not in our library10.21873/anticanres.11551
- 57.
Soucek L, Helmer-Citterich M, Sacco A, Jucker R, Cesareni G, Nasi S. 1998. Design and properties of a Myc derivative that efficiently homodimerizes. Oncogene 17: 2463–2472.
Not in our library10.1038/sj.onc.1202199
- 58.
Sullivan LB, Gui DY, Hosios AM, Bush LN, Freinkman E, Vander Heiden MG. 2015. Supporting aspartate biosynthesis is an essential function of respiration in proliferating cells. Cell 162: 552–563.
Not in our library10.1016/j.cell.2015.07.017
- 59.
Taguchi A, Niwa M, Hoshi M, Saito K, Masutani T, Hisamatsu K, Kobayashi K, Hatano Y, Tomita H, Hara A. 2014. Indoleamine 2,3-dioxygenase 1 is upregulated in activated microglia in mice cerebellum during acute viral encephalitis. Neurosci Lett 564: 120–125.
Not in our library10.1016/j.neulet.2014.01.051
- 60.
Timosenko E, Ghadbane H, Silk JD, Shepherd D, Gileadi U, Howson LJ, Laynes R, Zhao Q, Strausberg RL, Olsen LR, 2016. Nutritional stress induced by tryptophan-degrading enzymes results in ATF4-dependent reprogramming of the amino acid transporter profile in tumor cells. Cancer Res 76: 6193–6204.
Not in our library10.1158/0008-5472.can-15-3502
- 61.
Toda K, Nishikawa G, Iwamoto M, Itatani Y, Takahashi R, Sakai Y, Kawada K. 2017. Clinical role of ASCT2 (SLC1A5) in KRAS-mutated colorectal cancer. Int J Mol Sci 18: 1632.
Not in our library10.3390/ijms18081632
- 62.
Tsay JJ, Tchou-Wong KM, Greenberg AK, Pass H, Rom WN. 2013. Aryl hydrocarbon receptor and lung cancer. Anticancer Res 33: 1247–1256.
Not in our library
- 63.
Wang J, Fei X, Wu W, Chen X, Su L, Zhu Z, Zhou Y. 2016. SLC7A5 functions as a downstream target modulated by CRKL in metastasis process of gastric cancer SGC-7901 cells. PLoS One 11: e0166147.
Not in our library10.1371/journal.pone.0166147
- 64.
Wise DR, DeBerardinis RJ, Mancuso A, Sayed N, Zhang XY, Pfeiffer HK, Nissim I, Daikhin E, Yudkoff M, McMahon SB, 2008. Myc regulates a transcriptional program that stimulates mitochondrial glutaminolysis and leads to glutamine addiction. Proc Natl Acad Sci 105: 18782–18787.
Not in our library10.1073/pnas.0810199105
- 65.
Xie G, Peng Z, Raufman JP. 2012. Src-mediated aryl hydrocarbon and epidermal growth factor receptor cross talk stimulates colon cancer cell proliferation. Am J Physiol Gastrointest Liver Physiol 302: G1006–G1015.
Not in our library10.1152/ajpgi.00427.2011
- 66.
Ylikangas H, Malmioja K, Peura L, Gynther M, Nwachukwu EO, Leppanen J, Laine K, Rautio J, Lahtela-Kakkonen M, Huttunen KM, 2014. Quantitative insight into the design of compounds recognized by the L-type amino acid transporter 1 (LAT1). ChemMedChem 9: 2699–2707.
Not in our library10.1002/cmdc.201402281
- 67.
Yue M, Jiang J, Gao P, Liu H, Qing G. 2017. Oncogenic MYC activates a feedforward regulatory loop promoting essential amino acid metabolism and tumorigenesis. Cell Rep 21: 3819–3832.
Not in our library10.1016/j.celrep.2017.12.002
- 68.
Yuneva M, Zamboni N, Oefner P, Sachidanandam R, Lazebnik Y. 2007. Deficiency in glutamine but not glucose induces MYC-dependent apoptosis in human cells. J Cell Biol 178: 93–105.
Not in our library10.1083/jcb.200703099
- 69.
Zhai L, Lauing KL, Chang AL, Dey M, Qian J, Cheng Y, Lesniak MS, Wainwright DA. 2015a. The role of IDO in brain tumor immunotherapy. J Neurooncol 123: 395–403.
Not in our library10.1007/s11060-014-1687-8
- 70.
Zhai L, Spranger S, Binder DC, Gritsina G, Lauing KL, Giles FJ, Wainwright DA. 2015b. Molecular pathways: targeting IDO1 and other tryptophan dioxygenases for cancer immunotherapy. Clin Cancer Res 21: 5427–5433.
Not in our library10.1158/1078-0432.ccr-15-0420
- 71.
Zhao B, Degroot DE, Hayashi A, He G, Denison MS. 2010. CH223191 is a ligand-selective antagonist of the Ah (dioxin) receptor. Toxicol Sci 117: 393–403.
Not in our library10.1093/toxsci/kfq217
- 72.
Zhou Y, Zheng W, Liu W, Wang C, Zhan Y, Li H, Chen L, Li M, Ning Y. 2018a. Antidepressant effect of repeated ketamine administration on kynurenine pathway metabolites in patients with unipolar and bipolar depression. Brain Behav Immun 74: 205–212.
Not in our library10.1016/j.bbi.2018.09.007
- 73.
Zhou Y, Zheng W, Liu W, Wang C, Zhan Y, Li H, Chen L, Ning Y. 2018b. Cross-sectional relationship between kynurenine pathway metabolites and cognitive function in major depressive disorder. Psychoneuroendocrinology 101: 72–79.
Not in our library10.1016/j.psyneuen.2018.11.001
- 74.
Zhu X, Enomoto K, Zhao L, Zhu YJ, Willingham MC, Meltzer P, Qi J, Cheng SY. 2017. Bromodomain and extraterminal protein inhibitor JQ1 suppresses thyroid tumor growth in a mouse model. Clin Cancer Res 23: 430–440.
Not in our library10.1158/1078-0432.ccr-16-0914
Cited by papers we hold 12
- Amino acid metabolism in tumor biology and therapy · 2024No notice
- Role of the gut microbiota in anticancer therapy: from molecular mechanisms to clinical applications · 2023No notice
- Signaling pathways in cancer metabolism: mechanisms and therapeutic targets · 2023No notice
- Role of the Gut Microbiota and Its Metabolites in Tumorigenesis or Development of Colorectal Cancer · 2023No notice
- Determination of Breast Metabolic Phenotypes and Their Associations With Immunotherapy and Drug-Targeted Therapy: Analysis of Single-Cell and Bulk Sequences · 2022Not checked
- Cancer metabolism and dietary interventions · 2022Not checked
- Microbiota-derived tryptophan metabolites in vascular inflammation and cardiovascular disease · 2022No notice
- TDO2 Promotes the EMT of Hepatocellular Carcinoma Through Kyn-AhR Pathway · 2021Not checked
- 3,3′-Diindolylmethane modulates aryl hydrocarbon receptor of esophageal squamous cell carcinoma to reverse epithelial-mesenchymal transition through repressing RhoA/ROCK1-mediated COX2/PGE2 pathway · 2020Not checked
- Tryptophan Catabolism and Response to Therapy in Locally Advanced Rectal Cancer (LARC) Patients · 2020Not checked
- Regulation of cancer cell metabolism: oncogenic MYC in the driver’s seat · 2020No notice
- The therapeutic potential of targeting tryptophan catabolism in cancer · 2019No notice
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.