1. Introduction
As per the most recent colorectal cancer statistics-2023, colorectal cancer is the third most commonly diagnosed cancer in men and women in the United States [
1,
2,
3]. It is also the cause of the second most cancer-related deaths in men and the most prominent cancer-related death in younger men (<50 years of age). Colorectal cancer is the cause of approximately one million deaths worldwide every year. There are several risk factors for colorectal cancer, including age, sex, family history, diet, inflammation, and gene mutations. Truly alarming is the estimate that about 4% of men and women will be diagnosed with colorectal cancer at some point in their lifetime [
2]. Due to increased implementation of routine screening procedures and resultant early detection and also due to newly developed drugs for effective treatment, the 5-year survival in patients with colorectal cancer has been steadily increasing over the years, from about 50% in 1975 to about 70% in 2015 in most countries, including the United States [
4].
Several germline and somatic mutations are associated with colorectal cancer [
5,
6,
7]. These mutations occur in tumor suppressor genes, oncogenes, and DNA repair genes. A small percentage of colorectal cancer is inheritable where germline mutations are found in the genes coding for the adenomatous polyposis coli (APC) (Gardner syndrome), the tumor suppressor LKB1 (Peutz-Jeghers syndrome), DNA repair proteins MLH1, MSH2, MSH6, PMS2, EPCAM, and MUTYH (Lynch syndrome), and cystic fibrosis transmembrane conductance regulator CFTR (cystic fibrosis) [
5,
6,
7]. Most cases of colorectal cancer are sporadic, and somatic mutations underlie carcinogenesis in these cases. Most often, mutations in APC with resultant activation of β-catenin-dependent signaling and transcription initiate rapid cell proliferation, followed by mutations in the oncogene KRAS and subsequently in the tumor suppressor p53 that mediate and maintain cellular transformation and cancer growth [
8,
9,
10]. APC is an integral part of the destruction complex that promotes proteasomal degradation of β-catenin; therefore, loss-of-function mutations in APC, which prevent β-catenin degradation, are associated with colorectal cancer. Mutations in KRAS related to colorectal cancer result in gain-of-function with a decrease in GTPase activity of RAS and hence an increase in GTP-bound RAS and consequent persistent activation of signaling pathways responsible for cell proliferation and carcinogenic cellular transformation. Mutations in p53 found in colorectal cancer interfere with the transcriptional activity of the protein, thus protecting the cells from apoptosis and promoting cell proliferation and growth.
Macropinocytosis and ferroptosis are two biological phenomena that have come to the forefront in the field of cancer biology in relatively more recent years. Both these processes are connected to cancer-cell nutrition: macropinocytosis to amino acid nutrition [
11,
12] and ferroptosis to iron/amino acid nutrition [
13,
14]. Oncogenic mutations in KRAS are associated with induction of macropinocytosis that mediate the uptake of extracellular proteins for subsequent hydrolysis when macropinosomes fuse with lysosomes followed by the use of the resultant amino acids in cellular metabolism. Tumor-associated blood vessels are often leaky [
15,
16], thus facilitating the release of plasma proteins such as albumin into the extracellular milieu that are used in macropinocytosis. Even though the incidence of KRAS mutations is significant in colorectal cancer (30-50%), it occurs far more frequently in pancreatic cancer (~90%) [
17]. As such, the association between KRAS mutations and macropinocytosis has been investigated mostly in relation to pancreatic cancer [
11,
12]. Macropinocytosis offers a novel mechanism for acquisition of amino acids in cancer cells in addition to the import of extracellular amino acids via multiple amino acid transporters that are upregulated in cancer [
18,
19,
20]. As such, macropinocytosis promotes cancer by supplying amino acids to support cell proliferation. Cancer cells are also obligatorily dependent on iron for growth and proliferation [
21,
22], but excess iron increases the risk for iron-induced cell death ferroptosis. Cancer cells find ways to evade this form of cell death by potentiating glutathione-dependent antioxidant machinery. Loss-of-function mutations in p53 play an important role in this process where loss of p53 function leads to induction of the cystine transporter SLC7A11 to promote the synthesis of the antioxidant peptide glutathione in cancer cells [
23,
24]. In the current study, we focused on the relative importance of an oncogenic mutation in KRAS (G12D) and deletion of p53 in macropinocytosis and ferroptosis in colon cancer using isogenic cancer cell lines with and without the KRAS mutation as well as with and without p53.
Current treatment options for colorectal cancer include removal of the cancerous tissue (surgery, radiofrequency ablation, and cryosurgery), radiation therapy, chemotherapy, and immunotherapy [
25]. Monoclonal antibodies that neutralize the functions of VEGFRs and EGFRs on tumor cells and CTLA4 and PD-1 on cytotoxic T cells are increasingly used. Chemotherapy includes 5-fluorouracil and 5-trifluoro-2-deoxythymidine (inhibitors of thymidylate synthetase), irinotecan (an inhibitor of topoisomerase I), oxaliplatin (a DNA-alkylating agent that interferes with DNA replication and transcription), and several small-molecule inhibitors of the tyrosine kinase activity associated with VEGFRs and EGFRs [
26]. However, none of these therapies specifically targets macropinocytosis and/or ferroptosis in cancer cells. In the present study, we have identified niclosamide, an FDA-approved anti-helminthic drug [
27,
28], as not only a potent inhibitor of macropinocytosis but also an inducer of ferroptosis in colon cancer cells, thus underscoring the potential of this drug as an anticancer agent, especially for cancers associated with oncogenic changes in KRAS and p53.
2. Materials and Methods
2.1. Materials
[2,3-3H]-L-Serine (sp. radioactivity, 15 Ci/mmol) was procured from Moravek, Inc. (Brea, CA, USA). [3H]-Glutamate (sp. radioactivity, 50.8 Ci/mmol) was procured from PerkinElmer Corp (Waltham, MA, USA). Niclosamide was purchased from Millipore-Sigma (St. Louis, MO, USA) and ferrostatin-1 was from Santa Cruz Biotechnology Inc., (Dallas, TX, USA). All other chemicals were from Millipore-Sigma (St. Louis, MO, USA). The p53 activator RITA (Reactivation of p53 and induction of tumor cell apoptosis) was from Abcam (cat. No. ab219379) (Cambridge, UK).
2.2. Cell Lines and Culture Conditions
We used two pairs of isogenic human colon cancer cell lines: HCT-116/
p53+/+ and HCT116/
p53-/- cells (kindly provided by Dr. Bert Vogelstein, Johns Hopkins University School of Medicine, Baltimore, MD, USA). These are isogenic cell lines only with the difference of presence or absence of p53. Both alleles of
p53 gene were deleted in the parent HCT-116/
p53+/+ cell line by homologous recombination [
29,
30]. SW48 parent and KRAS
G12D mutant SW48 cells were purchased from Horizon Discovery Ltd., Cambridge, UK. Additional relevant genotype features of these cell lines are given in the Results section. SW48 cells were cultured in RPMI 1640 medium, supplemented with 2 mM L-glutamine and 25 mM sodium bicarbonate. HCT-116 cells were cultured in McCoY’s 5a medium. All media contained 10% fetal bovine serum. Cell cultures were tested every month for mycoplasma using a commercially available detection kit (cat. no. G238; Applied Biological Materials, Inc. Richmond, BC, Canada). All cell lines used in the present study were mycoplasma-free.
2.3. Uptake Measurement
Uptake of [
3H]-serine was measured to monitor the transport activity of SLC38A5. SLC38A5 is Na
+-coupled with H
+ movement in the opposite direction; as such, the uptake was measured at pH 8.5 to generate an outward-directed H
+-gradient. There are several Na
+-coupled transporters for serine; therefore, we cannot specifically monitor the function of SLC38A5 by using a Na
+-buffer. However, unlike other Na
+-coupled transporters, SLC38A5 is functional when Na
+ is replaced with Li
+. Therefore, we replaced NaCl with LiCl in the uptake buffer. The uptake buffer was made up of 25 mM Tris/Hepes, pH 8.5, with 140 mM LiCl, 5.4 mM KCl, 1.8 mM CaCl
2, 0.8 mM MgSO
4 and 5 mM glucose. Serine is also transported by SLC7A5, a Na
+-independent transporter; therefore, uptake via this transporter contributes to the total uptake measured in the Li
+-buffer. Therefore, we included 5 mM tryptophan in the uptake buffer to compete with and block SLC7A5-mediated serine uptake; tryptophan is not a substrate for SLC38A5 and therefore SLC38A5-mediated serine uptake is not affected by tryptophan. To determine the diffusional component in the total uptake of serine, the same uptake buffer but with LiCl replaced iso-osmotically with
N-methyl-D-glucamine chloride (NMDGCl) was used. The uptake was measured in two buffers: (i) LiCl-buffer, pH 8.5 with 5 mM tryptophan; (ii) NMDGCl-buffer, pH 8.5 with 5 mM tryptophan. The uptake in NMDGCl-buffer was subtracted from the uptake in LiCl-buffer to determine the transport activity of SLC38A5 [
31].
SLC7A11 is a Na
+-independent transporter; it mediates the entry of cystine into cells in exchange for intracellular glutamate. Notwithstanding this physiological mode of transport, we routinely measure its transport function by monitoring the uptake of radiolabeled glutamate. Under these conditions, SLC7A11 mediates the entry of radiolabeled glutamate into cells in exchange for intracellular unlabeled glutamate. Transport activity was measured using a Na
+-free buffer (25 mM Hepes/Tris, 140 mM
N-methyl-D-glucamine chloride, 5.4 mM KCl, 1.8 mM CaCl
2, 0.8 mM MgSO
4, and 5 mM glucose, pH 7.5). The diffusional component was calculated by measuring the uptake of [
3H]-glutamate in the presence of excess unlabeled glutamate (5 mM). The transport activity of SLC7A11 was determined by subtracting the diffusional component from total uptake [
32].
Cells were seeded in 24-well culture plates (2 × 105 cells/well) and grown to reach confluence (2 or 3 days of culture depending on the cell line). On the day of uptake measurement, the culture plates were kept in a water bath at 37 °C. The medium was aspirated, and the cells were washed with the respective uptake buffer. The uptake medium (250 μl) containing corresponding amino acid as the tracer was added to the cells. Following incubation for 15 min (SLC38A5) or 30 min (SLC7A11), the medium was removed, and the cells were washed thrice with ice-cold uptake buffer. The cells were then lysed in 1% sodium dodecyl sulfate/0.2 N NaOH and used for measurement of radioactivity.
2.4. Intracellular pH Measurement
The method used to monitor intracellular pH has been described in our previous report [
31]. Cells were grown on rectangular coverslips (9 × 22 mm) until they reached confluence. The cells were then incubated with 7.5 μM SNARF-1-AM in the perifusion buffer at an extracellular pH of 7.4 for 30 min at 37
oC, followed by a 30-min incubation in the same buffer but without the dye. This facilitates hydrolysis of the SNARF-1-AM ester inside the cells. Two coverslips were placed back-to-back in a holder and perifused at a rate of 3 ml/min, and the fluorescence of SNARF-1 was monitored with a SLC-8100/DMX spectrofluorometer (Spectronics Instruments, Rochester, NY, USA). In situ calibration curves were generated as described previously [
31]. Briefly, the cells on coverslips were perifused with a high K
+-buffer (10 mM NaCl, 146 mM KCl, 10 mM HEPES, 10 mM MES, 10 mM Bicine, 2 μM valinomycin, 6.8 μM nigericin, 5 mM glucose, pH 5.5–8.0 at 0.2 pH intervals). The 644 nm/584 nm ratio of fluorescence was determined at each pH and then converted to pH using a modified Henderson–Hasselbalch equation. This calibration was used to calculate intracellular pH.
2.5. Macropinocytosis Assay
We used TMR (tetramethylrhodamine)-dextran (molecular weight, 70 kDa) to monitor macropinocytosis as done by others [
33,
34] and described in our previous publication [
31]. Briefly, cells were plated on coverslips, placed in wells in a 12-well plate, at a density of 1 × 10
5 cells/well, and cultured at 37
oC using the culture media appropriate for the given cell line. The cells were allowed to reach ∼70% confluency. Cells were washed with a buffer consisting of 140 mM NaCl, 5.4 mM KCl, 1.8 mM CaCl2, 0.8 mM MgSO4, and 5 mM glucose, pH 7.5. The cells were then exposed to TMR-dextran (100 μg/ml) in the same buffer at 37
oC. Then, the cells were washed again with the respective buffer and then fixed with 4% paraformaldehyde for 5 min, washed several times with phosphate-buffered saline, and mounted using Prolong diamond with 4,6-diamidino-2-phenylindole (DAPI) as a nuclear marker. Cell images were taken using a Nikon T1-E microscope with A1 confocal super-resolution module (Nikon, Dallas, TX, USA) with a 60× objective. The fluorescence quantification was performed by measuring the corrected total cell fluorescence (CTCF) using Image J and the following formula:
CTCF = (integrated density) − (area of cell of interest) × (mean fluorescence of background).For groups of cells (15–20 cells/field) in an image, an outline was drawn to measure integrated density, area of the cells of interest, and mean fluorescence of the adjacent background around the cells of interest. We randomly selected five separate fields with 15–20 cells and calculated CTCF for each field; the five CTCF values were averaged.
2.6. RT-PCR
Total RNA was extracted from cells using TRIzol Reagent (Thermo Fisher Scientific, Waltham, MA, USA), and the RNA was reverse-transcribed using a high-capacity cDNA reverse transcription kit (Thermo Fisher Scientific, Waltham, MA, USA). Quantitative PCR were performed with Power SYBR Green PCR master mix (Bio-Rad, Hercules, CA, USA). Primer sequences are given in Supplemental
Table S1. The relative mRNA expression was determined by the 2
−∆∆Ct method with 18S mRNA for normalization.
2.7. Protein Isolation and Western Blot
Cells were lysed in Pierce™ RIPA buffer (Thermo Fisher Scientific, Waltham, MA, USA) supplemented with Halt™ Protease and Phosphatase Inhibitor Cocktail (Thermo Fisher Scientific, Waltham, MA, USA). Protein was measured using Pierce™ BCA Protein Assay Kit (Thermo Fisher Scientific, Waltham, MA, USA). The samples, prepared in Laemmli Sample Buffer (Bio-Rad Labs, Hercules, CA, USA), were loaded on the SDS–PAGE gel and transferred onto a PVDF membrane. The membrane was incubated with antibodies diluted in 5% nonfat dry milk. Protein bands were visualized using Pierce™ ECL Western Blotting Substrate (Thermo Fisher Scientific, Waltham, MA, USA) and developed on an autoradiography film. Most antibodies were purchased from Cell Signaling Technology (Danvers, MA, USA): FTH (#4393), GPX4 (#52455), HSP60 (#12165), SLC7A11 (#12691), and SLC3A2 (#47213). Antibodies for p53 (#SC-126) and Myc (#SC-40) were from Santacruz Biotechnology (Dallas, TX, USA). Secondary antibody horseradish peroxidase-conjugated goat anti-rabbit IgG (#1706515) was from Bio-Rad Labs (Hercules, CA, USA). For quantification of protein levels by densitometry, the experiment was done in triplicate.
2.8. Assays for Lipid Radicals (Ferroptosis) and Iron
Lipid radical (ferroptosis) assay and iron assay were done as originally described by others [
35,
36] and used in one of our previous publications [
30]. Cells were cultured on a 25-mm glass coverslip to ~70% confluency. Cells were washed with NaCl buffer, pH 7.5 and then incubated with 1 µM of LipiRadical Green (FDV-0042, Funakoshi, Tokyo, Japan) or Ferro-orange (F374, Dojindo, Rockville, MD, USA) in NaCl buffer, pH 7.5 for 20 min and then washed. To analyze the effect of niclosamide on lipid peroxidation, the cells were treated with the fluorescent probe along with niclosamide for 20 min and then washed. The glass coverslip containing the cells was then probed under an inverted microscope. The fluorescence imaging was captured using a Nikon T1-E microscope with A1 confocal super-resolution module (Nikon, Dallas, TX, USA), with a 60× objective. For ferroptosis assay, the excitation was at 470 nm and the emission was at 520 nm; for iron assay, the excitation was at 560 nm and the emission was at 620 nm. The images represent a maximum projection intensity derived from a Z-stack. The fluorescence quantification was performed by measuring the corrected total cell fluorescence (CTCF) using Image J (version: 2.14.0/1.54f) and the following formula; CTCF = (integrated density) − (area of cell of interest) × (mean fluorescence of background).
2.9. Glutathione and Lipid Peroxidation Assay
Cells cultured under various experimental conditions were used to measure glutathione (GSH-Glo assay, Promega, Madison, WI, USA). Malondialdehyde (MDA) was quantified using lipid peroxidation kit (MAK085, Millipore-Sigma, St. Louis, MO, USA).
2.10. Colony-Formation Assay
Colony-formation assay was done with different doses of niclosamide. Initial seeding was 500 cells/well and culture was continued for 10 days with culture medium replaced with fresh medium on alternate days. At the end of the 10-day period, the medium was removed, and the colonies were fixed with ice-cold methanol/acetone and then stained with Giemsa stain. After examination, lysis buffer was added (1% sodium dodecyl sulfate/0.2 N NaOH) and the extracted chromophore was quantified using Microplate Reader (Glomax multi-detection system, Promega, Madison, WI, USA).
2.11. MTT Assay
MTT assay was used to assess metabolic activity in cells, a substitute for cell vaibility and proliferation. This involves NAD(P)H-dependent reduction of the tetrazolium dye MTT, which is 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide. Cells were seeded in 96-well plates and cultured for 24 h after which cells were exposed to niclosamide. Cells were cultured for an additional 72 h with fresh medium supplied every 24 h. Cells were then washed with phosphate-buffered saline twice followed by MTT reagent (ATCC, Manassas, VA, USA). Treatment and lysis of the cells were done as per the manufacturer’s instructions. Absorbance of the lysate was measured at 550 nm.
2.12. Chromatin-Immunoprecipitation (ChIP) Assay
ChIP assay was carried out using EZ-Magna ChIP A/G kit (Millipore, Burlington, MA, USA). SW48 cells were treated with 1% formaldehyde for 10 min to crosslink proteins and nucleic acids. The contents were collected in phosphate-buffered saline, supplemented with Halt™ Protease and Phosphatase Inhibitor Cocktail (Thermo Fisher Scientific, Waltham, MA, USA) and lysed in nuclear lysis buffer. The lysate was sonicated using BioRuptor Plus (Diagenode, Denville, NJ, USA) to shear DNA into fragments of 200–1,000 base-pairs. DNA concentration was measured using NanoDrop Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA) and 100 μg of DNA was used for immunoprecipitation with anti-p53 (#SC-126) and anti-Myc (#SC-40) antibodies (Santacruz Biotechnology, Dallas, TX, USA), or mouse IgG (Millipore-Sigma, St. Louis, MO, USA). Before immunoprecipitation, an aliquot of the supernatant was removed for use as an input. Immunoprecipitated DNA was isolated on the column and relative enrichment of p53 and Myc on SLC38A5 promoter was assessed by PCR (primer sequences are given in Supplemental
Table S1). In some experiments, SW48 cells were treated with the p53 activator RITA (1 μM) for 16 h prior to the ChIP assay.
2.13. Assay for Reactive Oxygen Species (ROS) with 2’,7’-Dichlorodihydrofluorescein Diacetate Staining
The fluorecent probe of DCFH-DA was used to measure ROS [
37]. Briefly, cells were grown in a 96-well plate and then incubated with DCFH-DA (10 µM) at 37 °C for 30 min in dark. At the end of the incubation, cells were treated with different concentrations of niclosamide. Fluorescence intensity was monitored with a Microplate Reader (Glomax multi-detection system, Promega, Madison, WI, USA) at the excitation and emission wavelengths of 485 and 528 nm, respectively. Cellular fluorescence levels were expressed as per ug of protein.
2.14. Statistics
Uptake experiments were done in triplicates, and each experiment was repeated thrice using independent cell cultures. Statistical analysis was done with a two- tailed, paired Student’s t-test for single comparison and a p-value <0.05 was taken as evidence of statistical significance. Data are provided as means ± S.E. For quantification of fluorescence signals in macropinocytosis and ferroptosis, ANOVA followed by Dunn’s test was used to determine the significance of difference among different groups.
4. Discussion
Recently, we published reports on macropinocytosis and ferroptosis in triple-negative breast cancer cell lines MB231 and TXBR-100 and on the effects of the anti-helminthic drug niclosamide on these two processes [
31,
32,
45]. In these cell lines, niclosamide caused intracellular acidification and had opposing effects on macropinocytosis (suppression) and ferroptosis (induction). However, we did not examine the influence of p53 and KRAS on macropinocytosis and ferroptosis in these cell lines. Even though mutant p53 is common in breast cancer, mutations in KRAS are not frequent (<5%). Among the breast cancer cell lines, only MB231 possesses mutant p53 and also mutant KRAS (G13D) [
64,
65,
66]. The mutational status of p53 and KRAS is not known for TXBR-100, a patient-derived breast cancer cell line we used in these previous studies. As such, the previously published studies did not focus on the differential influence of p53 and KRAS mutations on macropinocytosis and ferroptosis in breast cancer cells. We also did not know if the actions of niclosamide as a suppressor of macropinocytosis and an inducer of ferroptosis that we observed in breast cancer cells are dependent on the mutational status of p53 and/or KRAS. The present study represents the first on this topic, but done with colon cancer cells where isogenic cell lines are available with and without p53 and KRAS mutation. Moreover, such studies are more relevant to colon cancer where KRAS mutations are much more prevalent than in breast cancer cells (30-50% versus <5%).
Glutamine is a critical amino acid for cancer cell growth and proliferation based on its connection to mTOR activation, nucleotide and protein synthesis, ATP production, lipid synthesis, and antioxidant machinery [
67]. Among the various glutamine transporters in mammalian cells [
20], SLC38A5 is unique because its transport function is associated with intracellular alkalinization [
68] and one-carbon metabolism [
69]. This transporter has come to prominence in recent years because of the recognition that it is upregulated in breast cancer [
45,
70] and pancreatic cancer [
71,
72] and is coupled to chemoresistance [
70,
72,
73]. The role of SLC38A5 in colon cancer has not yet been investigated even though it is expressed in the intestinal tract [
68].
The finding that SLC38A5 is involved in macropinocytosis is a recent observation [
45]. We hypothesized this involvement primarily based on the functional feature of the transporter as an amino-acid-dependent Na
+/H
+ exchanger and the known fact that Na
+/H
+ exchanger is an inducer of macropinocytosis. The role of Na
+/H
+ exchanger in macropinocytosis is also the basis for the widespread use of ethylisopropylamiloride and dimethylamiloride, potent inhibitors of the exchanger, as specific blockers of macropinocytosis [
74].
The salient findings in the present study with regard to macropinocytosis in colon cancer cells can be summarized as follows: (i) The oncogenic mutation G12D in KRAS is the driver of macropinocytosis with apparently no involvement of p53; (ii) The oncogenic changes in p53 (loss of function) and KRAS (activating mutation) elicit opposite effects on SLC38A5 expression, and the induction of the transporter by KRAS-G12D mutation is at least partly responsible for the increased activity of macropinocytosis seen in SW48 cells with the mutation; (iii) The increase in SLC38A5 expression elicited by KRAS-G12D mutation is mediated by the transcriptional activity of the oncogene Myc; (iv) SLC38A5 is also a target for p53, but this transcription factor functions as an inducer of SLC38A5 expression in contrast to its action as a suppressor of SLC7A11 expression; (v) Niclosamide is a potent suppressor of macropinocytosis in colon cancer cells irrespective of whether or not the cells harbor oncogenic changes in p53 and KRAS; (vi) The ability of niclosamide to cause intracellular acidification and to inhibit SLC38A5 is at least partly responsible for this effect.
Ferroptosis is being increasingly recognized as one of the most important vulnerabilities and an Achilles’ heel in cancer cells because these cells have to navigate between their obligate need to accumulate iron to support their growth and proliferation and at the same time the challenge to protect themselves from iron-induced cell death [
13,
14,
75,
76]. The tumor suppressor p53 and the amino acid transporter SLC7A11 are at the center of these two opposing phenomena. When cancer cells accumulate iron, heme levels increase. p53 is a heme-binding protein, and when heme binds to p53, the complex gets degraded in proteasomes [
23]. As a consequence, excess iron in cancer cells leads to p53 depletion. SLC7A11 is the most important protector of cancer cells from iron-induced ferroptosis because of its ability to increase cellular levels of glutathione. The expression of this transporter is suppressed by p53 [
23]. As such, p53 loss induced by excess iron/heme results in increased expression of SLC7A11 in cancer cells, thus protecting the cells from ferroptosis. This phenomenon also occurs in hemochromatosis, a genetic disorder associated with iron overload, where iron accumulation leads to increased heme and consequent p53 loss and also increased susceptibility to colon cancer [
77]. The present study provides confirmation to the functional interaction among p53, SLC7A11, and ferroptosis. Deletion of p53 in HCT-116 cells potentiates the expression and function SLC7A11 and as a result ferroptosis becomes almost undetectable in these cells. Another important finding from the present study is that it is p53, not KRAS, that plays the key role in the control of ferroptosis. However, we found that the oncogenic mutation G12D in KRAS does induce the expression of SLC7A11 in SW48 cells even in the presence of p53. These findings suggest that KRAS activation in cancer cells has potential to provide protection against ferroptosis under conditions where p53 is still functional. It is interesting to note the similarity in the transcriptional activation of SLC7A11 between the oncogenic changes in p53 (loss of function) and KRAS (activating mutation), both leading to induction of SLC7A11 expression. This is in contrast to their effects on SLC38A5 expression where they play opposing roles.
In addition to providing important new information on the opposing roles of oncogenic changes in p53 and KRAS in colon cancer cells not only in terms of macropinocytosis and ferroptosis but also in terms of the control of SLC38A5 and SLC7A11 expression, the present study highlights the therapeutic potential of the FDA-approved anti-helminthic drug niclosamide. The findings that the drug elicits opposing effects on macropinocytosis and ferroptosis in colon cancer cells irrespective of the presence or absence of oncogenic changes in p53 and KRAS are the salient features of the present study. The drug blocks macropinocytosis, thus interfering with an important route of nutrient acquisition in cancer cells; at the same time, it also induces ferroptosis, a key vulnerability in cancer cells. These effects are at least partly due to the ability of the drug to inhibit the transport function of SLC38A5 (relevant to macropinocytosis) and SLC7A11 (relevant to ferroptosis). It is also important to point out here that the potency of niclosamide as an inhibitor of SLC7A11 (
IC50, <0.25 μM) is greater than most of the inhibitors, including erastin, reported thus far in the literature [
78]. We found a similar
IC50 value in triple-negative breast cancer cells [
32]. Even though derivatives of erastin have been developed recently with much greater potency to inhibit SLC7A11 (
IC50 values in the low-nanomolar range) [
79], niclosamide may have an advantage in terms of therapeutic use for cancer therapy because of its feature as an already FDA-approved drug that has been in use in humans for several decades. The often pointed out disadvantage of niclosamide as an anticancer agent is its poor oral bioavailability [
80,
81]. This may be a valid argument for the use of the drug to treat cancers of non-colonic origin but not for its use to treat colon cancer. Niclosamide is active in the lumen of the intestinal tract when given for the treatment of helminth infections; therefore, the drug will have access to cancer cells in the colon to elicit its anticancer effects. With this rationale, we conclude that the results of the present study underscore the therapeutic potential of niclosamide in the treatment of colorectal cancer. Even for other cancers of non-colonic origin, there could be effective strategies such as nano-formulations or chemical modifications to improve the oral bioavailability of niclosamide to harness its efficacy as an anticancer drug.
Author Contributions
Conceptualization, N.T.N., S.S. and V.G; methodology, N.T.N., S.R.S., G.D.N., and S.S.; validation, S.S. and V.G.; investigation, N.T.N., S.R.S., G.D.N., and S.S.; writing—original draft preparation, V.G.; writing—review and editing, N.T.N., S.S. and Y.D.B.; supervision, S.S. and V.G.; project administration, V.G. All authors have read and agreed to the published version of the manuscript.
Figure 1.
Expression and function of SLC38A3/SLC38A5 in the two pairs of isogenic colon cancer cell lines with and without p53 (HCT-116) and with and without G12D mutation in KRAS (SW48). Relative expression of mRNA levels as assessed by qRT-PCR (A). Transport function as assessed by serine uptake (B). Data are mean ± S.E. for three independent experiments. **, p < 0.01; ***, p < 0.001. When not specified, the difference is not statistically significant.
Figure 1.
Expression and function of SLC38A3/SLC38A5 in the two pairs of isogenic colon cancer cell lines with and without p53 (HCT-116) and with and without G12D mutation in KRAS (SW48). Relative expression of mRNA levels as assessed by qRT-PCR (A). Transport function as assessed by serine uptake (B). Data are mean ± S.E. for three independent experiments. **, p < 0.01; ***, p < 0.001. When not specified, the difference is not statistically significant.
Figure 2.
Evidence for SLC38A5 as a transcriptional target for p53 and Myc. Locations for theoretical binding sites in human SLC38A5 gene promoter for p53 and Myc (A). Protein levels for p53 and Myc in the isogenic cell lines SW48 with and without KRAS-G12D mutation and HCT-116 with and without p53 (B). SW48 parent cells with or without treatment in the presence of the p53 activator RITA (1 μM; 16 h treatment) were used for ChIP assay to provide evidence for the binding of p53 and Myc to the SLC38A5 gene promoter (C,D). The ability of RITA to increase the steady-state levels of p53 was confirmed by western blot in all three colon cancer cell lines that express wild type p53 (E).
Figure 2.
Evidence for SLC38A5 as a transcriptional target for p53 and Myc. Locations for theoretical binding sites in human SLC38A5 gene promoter for p53 and Myc (A). Protein levels for p53 and Myc in the isogenic cell lines SW48 with and without KRAS-G12D mutation and HCT-116 with and without p53 (B). SW48 parent cells with or without treatment in the presence of the p53 activator RITA (1 μM; 16 h treatment) were used for ChIP assay to provide evidence for the binding of p53 and Myc to the SLC38A5 gene promoter (C,D). The ability of RITA to increase the steady-state levels of p53 was confirmed by western blot in all three colon cancer cell lines that express wild type p53 (E).
Figure 3.
Effect of p53 deletion and oncogenic KRAS mutation G12D on macropinocytosis. Cellular uptake of TMR-dextran was used to monitor macropinocytosis activity. The fluorescence signals were quantified as CTCF (corrected total cell fluorescence) for all four cell lines. Data are mean ± S.E. ***, p < 0.001. When not specified, the difference is not statistically significant.
Figure 3.
Effect of p53 deletion and oncogenic KRAS mutation G12D on macropinocytosis. Cellular uptake of TMR-dextran was used to monitor macropinocytosis activity. The fluorescence signals were quantified as CTCF (corrected total cell fluorescence) for all four cell lines. Data are mean ± S.E. ***, p < 0.001. When not specified, the difference is not statistically significant.
Figure 4.
Expression and function of SLC7A11 and its chaperone SLC3A2 in the two pairs of isogenic colon cancer cell lines with and without p53 (HCT-116) and with and without G12D mutation in KRAS (SW48). Relative expression of mRNA levels as assessed by qRT-PCR (A, B). Transport function as assessed by glutamate uptake (C, D). Data are mean ± S.E. for three independent experiments. *, p < 0.05; ***, p < 0.001. Protein levels for SLC7A11 and SLC3A2 in the four cell lines (E, F).
Figure 4.
Expression and function of SLC7A11 and its chaperone SLC3A2 in the two pairs of isogenic colon cancer cell lines with and without p53 (HCT-116) and with and without G12D mutation in KRAS (SW48). Relative expression of mRNA levels as assessed by qRT-PCR (A, B). Transport function as assessed by glutamate uptake (C, D). Data are mean ± S.E. for three independent experiments. *, p < 0.05; ***, p < 0.001. Protein levels for SLC7A11 and SLC3A2 in the four cell lines (E, F).
Figure 5.
Basal ferroptosis activity in the two pairs of isogenic colon cancer cells with and without p53 (HCT-116) and with and without G12D mutation in KRAS (SW48) as assessed by fluorescence detection of lipid radicals. Quantification of the fluorescence signals are also given (mean ± S.E. for three independent experiments). ***, p < 0.001. When not specified, the difference is not significant.
Figure 5.
Basal ferroptosis activity in the two pairs of isogenic colon cancer cells with and without p53 (HCT-116) and with and without G12D mutation in KRAS (SW48) as assessed by fluorescence detection of lipid radicals. Quantification of the fluorescence signals are also given (mean ± S.E. for three independent experiments). ***, p < 0.001. When not specified, the difference is not significant.
Figure 6.
Iron levels in the two isogenic cell lines with and without p53 (HCT-116) and with and without G12D mutation in KRAS (SW48). The fluorescence signals were also quantified (data given as mean ± S.E.). **, p < 0.01; ***, p < 0.001.
Figure 6.
Iron levels in the two isogenic cell lines with and without p53 (HCT-116) and with and without G12D mutation in KRAS (SW48). The fluorescence signals were also quantified (data given as mean ± S.E.). **, p < 0.01; ***, p < 0.001.
Figure 7.
Basal levels of ROS, GSH and MDA. Data (mean ± S.E.) are from three independent experiments. ***, p < 0.001. When not specified, the differences are not statistically significant.
Figure 7.
Basal levels of ROS, GSH and MDA. Data (mean ± S.E.) are from three independent experiments. ***, p < 0.001. When not specified, the differences are not statistically significant.
Figure 8.
Effects of niclosamide on intracellular pH in all four cell lines and on the transport activity of SLC38A5 in SW48 cells with G12D mutation in KRAS and on the transport activity of SLC7A11 in p53-null HCT-116 cells. Data are given as mean ± S.E. *, p < 0.05; **, p < 0.01; ***, p < 0.001.
Figure 8.
Effects of niclosamide on intracellular pH in all four cell lines and on the transport activity of SLC38A5 in SW48 cells with G12D mutation in KRAS and on the transport activity of SLC7A11 in p53-null HCT-116 cells. Data are given as mean ± S.E. *, p < 0.05; **, p < 0.01; ***, p < 0.001.
Figure 9.
Effects of niclosamide (5 µM) on macropinocytosis in the two pairs of isogenic cell lines. Immunofluorescence images as well as quantification of the fluorescence signals are given. Data are given as mean ± S.E. **, p < 0.01; ***, p < 0.001.
Figure 9.
Effects of niclosamide (5 µM) on macropinocytosis in the two pairs of isogenic cell lines. Immunofluorescence images as well as quantification of the fluorescence signals are given. Data are given as mean ± S.E. **, p < 0.01; ***, p < 0.001.
Figure 10.
Induction of ferroptosis by niclosamide (5 µM) in HCT116 cells with and without p53. Quantification of the fluorescence signals (mean ± S.E.) are also given. ***, p < 0.001. When not specified, the differences are not statistically significant.
Figure 10.
Induction of ferroptosis by niclosamide (5 µM) in HCT116 cells with and without p53. Quantification of the fluorescence signals (mean ± S.E.) are also given. ***, p < 0.001. When not specified, the differences are not statistically significant.
Figure 11.
Induction of ferroptosis by niclosamide (5 µM) in SW48 cells with and without G12D mutation in KRAS. Quantification of the fluorescence signals (mean ± S.E.) are given. ***, p < 0.001.
Figure 11.
Induction of ferroptosis by niclosamide (5 µM) in SW48 cells with and without G12D mutation in KRAS. Quantification of the fluorescence signals (mean ± S.E.) are given. ***, p < 0.001.
Figure 12.
Blockade of niclosamide (5 µM)-induced ferroptosis by ferrostatin (10 µM) in p53-null HCT116 cells and in SW48 cells with and without the KRAS G12D mutation.
Figure 12.
Blockade of niclosamide (5 µM)-induced ferroptosis by ferrostatin (10 µM) in p53-null HCT116 cells and in SW48 cells with and without the KRAS G12D mutation.
Figure 13.
Effects of niclosamide on cellular levels of ROS, GSH, and MDA. The cells were treated with niclosamide (2.5 μM) for 24 h. Data are given as mean ± S.E. **, p < 0.01; ***, p < 0.001.
Figure 13.
Effects of niclosamide on cellular levels of ROS, GSH, and MDA. The cells were treated with niclosamide (2.5 μM) for 24 h. Data are given as mean ± S.E. **, p < 0.01; ***, p < 0.001.
Figure 14.
Effects of niclosamide treatment (2.5 μM; 24 h) on FTH1 and GPX4 protein levels.
Figure 14.
Effects of niclosamide treatment (2.5 μM; 24 h) on FTH1 and GPX4 protein levels.
Figure 15.
Inhibition of cell viability and proliferation by niclosamide as monitored by MTT assay in all four cell lines (HCT-116 cells with and without p53; SW48 cells with and without KRAS-G12D mutation). Cell viability was calculated as percent of control cells without treatment with niclosamide. Data (mean ± S.E.) are from three independent experiments.
Figure 15.
Inhibition of cell viability and proliferation by niclosamide as monitored by MTT assay in all four cell lines (HCT-116 cells with and without p53; SW48 cells with and without KRAS-G12D mutation). Cell viability was calculated as percent of control cells without treatment with niclosamide. Data (mean ± S.E.) are from three independent experiments.
Figure 16.
Effects of niclosamide on colony-forming ability in HCT-116 cells with and without p53 and in SW48 cells with and without KRAS-G12D mutation. Data (mean ± S.E.) are for three independent experiments. *, p < 0.05; **, p < 0.01; ***, p < 0.001. When not specified, the differences are not statistically significant.
Figure 16.
Effects of niclosamide on colony-forming ability in HCT-116 cells with and without p53 and in SW48 cells with and without KRAS-G12D mutation. Data (mean ± S.E.) are for three independent experiments. *, p < 0.05; **, p < 0.01; ***, p < 0.001. When not specified, the differences are not statistically significant.
Table 1.
Genetic background of the four human colon cancer cell lines used in the study.
Table 1.
Genetic background of the four human colon cancer cell lines used in the study.
Gene/Cell Line |
HCT-116 |
HCT-116/p53 KO |
SW48 |
SW48/KRAS mutant |
APC |
Wild type |
Wild type |
Wild type |
Wild type |
KRAS |
pGly13Asp (G13D) |
pGly13Asp (G13D) |
Wild type |
pGly12Asp (G12D) |
TP53 (p53) |
Wild type |
Deleted |
Wild type |
Wild type |