Abstract
Background/Aim: 5-Fluorouracil (5-FU) plays a major role in the treatment of gastric cancer (GC), and overcoming resistance to this drug remains a critical challenge. This study aimed to identify genes associated with resistance to 5-FU in GC.
Materials and Methods: Gene expression levels were analyzed in 5-FU-resistant MKN-45/F2R cells compared to the parental MKN-45 strain before and after 5-FU treatment (24 and 72 h). Among the consistently over-expressed genes, those with high expression were further investigated for their roles in resistance and expression patterns in GC tissues.
Results: NPC1L1, a protein hypothesized to influence 5-FU resistance, did not exhibit resistance-related effects in tested cells. Its expression was subsequently studied in gastric cells. NPC1L1 was detected in the stomach, jejunum, duodenum, and liver, with increased mRNA levels in several GC samples. Immunostaining of samples from 95 GC patients revealed that 39 (41.0%) exhibited ≥10% higher NPC1L1 expression. Patients with NPC1L1-positive tumors had poorer prognoses than those with negative tumors.
Conclusion: NPC1L1 is expressed in both normal gastric tissues and GC tissues, with elevated levels at invasive sites associated with poor prognosis.
Introduction
Owing to recent advances, chemotherapy for gastric cancer (GC) has achieved a high response rate. However, drug resistance has become a problem for all anticancer drugs, including 5-fluorouracil (5-FU). We have established 5-FU-resistant GC cell lines to identify resistance-related genes and elucidate their underlying mechanisms (1). Although the number of therapeutic drugs used in chemotherapy for GC has increased, 5-FU continues to play a major role; hence, overcoming resistance to this drug is of particular importance. In this study, we focused on Niemann-Pick C1-like 1 (NPC1L1) protein, which is thought to be involved in 5-FU resistance. NPC1L1 is a transmembrane protein involved in cholesterol transport in the small intestine (2) and plays a crucial role in intestinal cholesterol absorption (3). It is associated with breast (4, 5), hepatocellular (6), pancreatic (7, 8), and colorectal cancers (9); however, its expression and function in GC remain unknown.
Materials and Methods
Tissue samples. For this study, GC tissue samples were subjected to quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and immunohistochemical analyses. For the qRT-PCR analysis, Human Multiple Tissue cDNA Panel I and II (cat. no. 636742 and 636743; Takara-bio Co., Shiga, Japan) were used to represent normal human tissue; Human Digestive System Multiple Tissue cDNA Panel (cat. no.: 636746; Takara-bio Co.) was used to represent normal human digestive organ tissues; and TissueScan Gastroesophageal Cancer Tissue qPCR Panel I (cat. no.: HGRT101; OriGene Technologies, Rockville, MD, USA) was used to represent human GC tissue.
For the immunohistochemical analysis, 70 primary tumor samples were collected from patients who were diagnosed with GC and underwent gastrectomy procedures between 2005 and 2011 at Gifu University Hospital (Gifu, Japan). Another 25 primary tumor samples collected from patients diagnosed with GC who underwent gastrectomy procedures in 2014 at Gifu Municipal Hospital (Gifu, Japan) were also analyzed. Tumor staging was determined according to the Tumor, Node, Metastasis (TNM) classification system (10). Histologic classification was performed according to the Japanese Classification of Gastric Carcinoma (11). The surgery types included distal, cardiac, or total gastrectomy. All of these were resections performed with curative intent. After each surgery, follow-up and treatment procedures for recurrence were based on GC treatment guidelines (12). Blood tests (including tumor markers) were performed every three months, and computed tomography (CT) was performed every six months for three years postoperatively. After three years, blood tests and CT scans were performed every six months postoperatively. Patients were followed by their physician until death or the date of the last documented contact. Esophagogastroduodenoscopy procedures were performed annually. Patients who experienced recurrence during follow-up were treated via chemotherapy. This study was approved by the review board of the Gifu University Hospital (approval no.: 2021-B134).
Cell lines and cell culture. Five cell lines derived from human gastric cancer (GC) (MKN-1, MKN-7, MKN-45, MKN-45/F2R, and TMK-1) were used. Three cell lines (MKN-1, MKN-7, and TMK-1) were purchased from the Japanese Collection of Research Bioresources Cell Bank (Osaka, Japan). The MKN-45 cell line (a poorly differentiated GC cell line) was kindly provided by Hiroshima University, Japan. All cell lines were cultured in RPMI-1640 medium supplemented with 5% fetal bovine serum (FBS; both obtained from Wako Pure Chemical Industries Ltd., Osaka, Japan) and sodium pyruvate (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany). MKN-45/F2R cell line is resistant to 5-FU and was established by continuously exposing the cells to increasing concentrations (0.1-2 μM) of 5-FU over one year, as was described in a previous study (13). The 5-FU used for this study was kindly provided by Kyowa Hakko (Tokyo, Japan). Prior to the study, the resistant cells were cultured in drug-free RPMI-1640 supplemented with 5% FBS for ≥2 weeks to eliminate the effects of 5-FU exposure for the experiments. During the study, they were routinely maintained in RPMI-1640 supplemented with 5% FBS and 2 μM 5-FU. Both cell lines cultured in this study were incubated at 37°C in a humidified atmosphere containing 5% CO2.
Microarray analysis. To search for candidate genes related to 5-FU resistance, cDNA microarray analysis was performed. Genes whose expression levels were consistently higher in 5-FU resistant cell lines than those in parental cells under three different conditions were selected. Cells were plated on 10-cm petri dishes at 1.0×106 cells in a medium containing 10% FBS. Cells were harvested before 5-FU administration, 24 h after administration of 2 μM 5-FU, or 72 h after administration of 2 μM 5-FU. This was performed for the 5-FU resistant MKN-45/F2R cell lines and the MKN-45 parental cell lines, and a total of six patterns of cells were obtained. Total RNA was extracted with a RNeasy Mini kit (Qiagen, Valencia, CA, USA). Microarray analysis was outsourced to Genetic Biolab Co., Ltd. (Sapporo, Hokkaido, Japan).
Chemosensitivity assay. Cells were plated in 96-well plates at 1.0×104 cells per 200 μl of medium containing 10% FBS. After 24 h of incubation at 37°C, the medium was replaced with fresh medium containing or not containing different concentrations of 5-FU. The number of viable cells was counted using a hemocytometer after 72 h.
qRT-PCR analysis. PCR was performed using TB Green Premix Ex Taq II (Takara-bio Co. Ltd). Real-time detection of the emission intensity of TB green bound to double-stranded DNA was performed using a Thermal Cycler Dice Real Time System (Takara-bio Co. Ltd). NPC1L1 primers (oligo: HA171345-F/R; Takara-bio Co.) and GAPDH primers (oligo: HA067812-F/R; Takara-bio Co.) were used for PCR. GAPDH-specific PCR products were amplified from the same cDNA samples to serve as an internal control.
Transfection and small interfering RNA experiments for NPC1L1. We used two independent small interfering RNA (siRNA) oligonucleotide sequences targeting NPC1L1 messenger RNA, as well as a negative control (Life Technologies Inc., Carlsbad, CA, USA). MKN-45 cells and MKN-45/F2R cells were cultured in RPMI-1640 supplemented 5% FBS without antibiotics for 24 h to 50-70% confluency prior to transfection. The cells were transfected with siRNA oligonucleotides using Lipofectamine RNAiMAX (Life Technologies Inc.) in serum-free Opti-MEM (Life Technologies Inc.) at a final siRNA concentration of 10 nM and analyzed 48 h after transfection.
Immunohistochemistry. Antigen retrieval treatment was performed in an autoclave using 0.01M citrate buffer (pH 6.0) for 10 min. Endogenous enzymes were blocked using 3% hydrogen peroxide (H2O2) for 10 min. Non-specific protein blocking was performed using Blocking One (cat. no.: 03953-95; Nacalai tesque, Kyoto, Japan) for 10 min. Sections were incubated with the primary rabbit polyclonal anti-NPC1L1 antibody (cat. no.: GTX30675; 1:500; Gene Tex Inc., Irvine, CA, USA) overnight at room temperature. They were then incubated with horseradish peroxidase-conjugated anti-rabbit immunoglobulin G (heavy + light chains) goat polyclonal secondary antibody (cat. no.: 424144; HOSOFINE; Nichirei Biosciences, Tokyo, Japan) for 30 min. Visualization was performed following staining with 3,3′-diaminobenzidine, tetra-hydrochloride (DAB; Sensitive DAB Substrate Kit; cat. no.: 10-0048; Genemed Biotechnologies Inc., South San Francisco, CA, USA) for 1 min. The sections were counterstained with Mayer’s hematoxylin.
Tissue specimens were considered positive if the cancer cells at the most invasive fronts exhibited >10% staining, which was stronger than that of non-tumorous gland cells. Two pathologists (C.S. and T.T.), who were blinded to patients’ prognosis, performed the immunohistochemical staining and summarized the evaluations of the tumor samples.
Statistical methods. Statistical analysis was performed using JMP v14.2 (SAS Institute Inc., Cary, NC, USA). Associations between clinicopathological factors and NPC1L1 expression were analyzed using Fisher’s exact test. Kaplan–Meier survival curves were constructed for the NPC1L1-positive and NPC1L1-negative patients, and the survival rates were compared between these two groups. Differences between the survival curves were tested for statistical significance using the log-rank test. Inhibitory concentration 50% (IC50) values were calculated using the Microsoft Excel 2010 software program (Microsoft Corporation, Redmond, WA, USA).
Results
Gene expression analysis of MKN-45 and 5-FU-resistant MKN-45/F2R. To identify the genes associated with resistance to 5-FU in GC, we first performed gene expression analysis using cDNA microarray of MKN-45 and 5-FU-resistant MKN-45/F2R cell lines. Before 5-FU administration, the expression of 179 genes was up-regulated in the 5-FU-resistant cell line compared with that in parental cells. A total of 99 genes were up-regulated in MKN-45 cells at 24 h and 132 genes were up-regulated at 72 h after 5-FU administration (Figure 1A). We identified 49 genes that were consistently over-expressed in the 5-FU-resistant MKN-45/F2R strain vs. the MKN-45 parent strain before, 24 h after, and 72 h after 5-FU administration. Among these, NPC1L1 was the fourth most highly expressed gene (Table I). Because the association of NPC1L1 with multiple solid cancers had been previously reported, we focused on the association of NPC1L1 with 5-FU resistance in GC. We first analyzed mRNA expression of NPC1L1 in five GC cell lines using qRT-PCR (Figure 1B). NPC1L1 expression was up-regulated in the MKN-45 and the 5-FU-resistant MKN-45/F2R cell lines. Therefore, both strains were subjected to NPC1L1 knockdown using siRNA. This produced no change in the IC50 concentrations for 5-FU in either strain (Figure 1C); therefore, we were unable to confirm whether NPC1L1 was indeed involved in the drug resistance of MKN-45 cells to 5-FU. However, the significance of NPC1L1 expression in GC remains unclear. We then proceeded to analyze the expression of NPC1L1 in our GC samples.
Gene expression analysis of MKN-45 and 5-FU-resistant MKN-45/F2R. (A) Schema of gene expression analysis of MKN-45 and 5-FU-resistant MKN-45/F2R cell lines. (B) Relative mRNA expression of NPC1L1 in gastric cancer cell lines using qRT-PCR analysis, normalized to the expression level in MKN-45 parental cells (designated 1.0). Data are expressed as relative values and represent the mean of duplicate determinations. (C) The IC50 of 5-FU in MKN-45 parental cells or 5-FU resistant cells transfected with NPC1L1 siRNA or negative-control siRNA.
Up-regulated genes 24 and 72 hours after 5-FU administration in 5-FU-resistant vs. parental MKN-45 cells.
Expression of NPC1L1 mRNA in normal human tissues. NPC1L1 is known to be expressed in the small intestine (14). To investigate the expression status of NPC1L1 in normal tissues, we measured the expression status of NPC1L1 in 14 normal human organs, including the small intestine (Figure 2A). Among them, NPC1L1 was expressed not only in the small intestine but also in the lungs and testicles. When NPC1L1 expression was measured in normal digestive organ tissues (including the stomach), high expression levels were observed in the liver, jejunum, and duodenum (Figure 2B). NPC1L1 was also confirmed in gastric tissue samples.
Expression of NPC1L1 mRNA in normal human tissues. (A) Relative mRNA expression of NPC1L1 in 14 normal human organ tissues using qRT-PCR analysis, normalized to the expression level in normal colon tissue (designated 1.0). Data are expressed as relative values and represent the mean of duplicate determinations. (B) Relative mRNA expression of NPC1L1 expression levels in normal digestive organ tissues using qRT-PCR analysis, normalized to the expression level in normal cecum tissue (designated 1.0). Data are expressed as relative values and represent the mean of duplicate determinations.
NPC1L1 mRNA expression in GC tissues and non-neoplastic mucosa samples. To our knowledge, there have been no previous reports in the literature comparing the expression levels of NPC1L1 in normal gastric mucosa and gastric tumor tissues. We, therefore, compared the expression levels of NPC1L1 mRNA in GC tissues and normal gastric mucosa samples. Higher expression levels were observed in multiple GC tissue samples (Figure 3).
NPC1L1 mRNA expression in gastric cancer tissues and non-neoplastic mucosa samples. Relative mRNA expression of NPC1L1 in gastric cancer tumor tissue and normal gastric non-neoplastic tissue samples using qRT-PCR analysis, expressed arbitrary units and normalized to the expression level in non-neoplastic tissue (designated 1.0). Data are expressed as relative values and represent the mean of duplicate determinations.
Immunohistochemical analysis of NPC1L1 in GC. Next, we examined NPC1L1 protein expression in surgically resected GC tissues by immunostaining with an anti-NPC1L1 antibody (Figure 4A-D). Approximately 400 cancer cells in the most invaded areas were examined. Of the 95 total patients for whom we had GC tissues samples, 39 (41.0%) were found to have ≥10% higher NPC1L1 expression in the GC tissues vs. the normal neighboring epithelium. Kaplan–Meier analysis showed that these patients had poorer prognoses that the other patients (Figure 4E).
Representative immunohistochemical staining using an anti-NPC1L1 antibody. (A) Non-tumorous gland cells exhibited weak immunoreactivity. (B) Representative NPC1L1-negative gastric adenocarcinoma with a favorable prognosis. Little or no NPC1L1immunoreactivity was noted at the most invasion cancer front in the subserosa (arrowheads). (C, D) Representative NPC1L1-positive gastric adenocarcinoma with a poor prognosis. Diffuse and robust NPC1L1 immunoreactivity was noted at the most invasion cancer front in the subserosa (arrow). Bar indicates 50 μm. (E) Kaplan–Meier survival plot in NPC1L1-positive or -negative patients with gastric cancer.
Relationship between NPC1L1 expression and clinicopathological GC characteristics. NPC1L1 was highly expressed in patients with advanced stage II/III GC (Table II). No correlation was observed between NPC1L1 expression and other clinicopathological factors. High NPC1L1 expression was associated with a poor prognosis, along with TNM and stage classification, but was not found to represent an independent factor of poor prognosis (Table III).
Relationships between NPC1L1 expression and clinicopathological characteristics.
Univariate and multivariate Cox regression analysis of NPC1L1 expression and survival in gastric cancer.
Discussion
Multiple studies have identified molecules related to 5-FU resistance in GC; however, none have been clinically applied thus far. In this study, we confirmed higher expression levels of NPC1L1 in 5-FU-resistant GC cell lines; however, we were unable to conclusively demonstrate a direct relationship to 5-FU resistance. However, NPC1L1 is expressed not only in normal gastric tissues but also in GC ones, suggesting that it may be involved in malignancy. Furthermore, our analysis of clinicopathological factors suggested that it may be involved in the malignancy of GC.
NPC1L1 acts as an intestinal cholesterol transporter (2). NPC1L1 is an important molecule involved in lipid metabolism in the gastrointestinal tract–including the liver and small intestine– and therapeutic drugs targeting it have already shown efficacy for the treatment of the metabolic syndrome (2). NPC1L1 inhibits cholesterol absorption (15, 16). And, NPC1L1 is a molecular target of ezetimibe, a potent cholesterol absorption inhibitor that lowers blood cholesterol in humans (2). Previous reports have clearly shown that NPC1L1 is expressed in the small intestine and colon, and our results also confirmed this finding. We also found that this protein was expressed in normal gastric tissues, suggesting that it is expressed in multiple areas of the digestive tract. Moreover, immunohistochemistry showed that 40.2% of GC cases were positive for NPC1L1 compared to normal gastric mucosa. These results indicate that NPC1L1 plays an important role in GC cells.
NPC1L1 has been linked to multiple solid cancers in recent years (17). In breast cancer, genetically proxied inhibition of HMG-CoA reductase and NPC1L1 were found to be significantly associated with lower odds (4). NPC1L1 expression has also been reported to have prognostic value for hepatocellular carcinoma (6). Moreover, ezetimibe induces paraptosis by targeting NPC1L1 to inhibit the PI3K/AKT/mTOR signaling pathway and may act as an anticancer agent in hepatocellular carcinoma tumor cells (18). Inhibiting NPC1L1 using ezetimibe may represent an efficient treatment approach for pancreatic cancer (7). NPC1L1 inhibitors have also shown potential for chemoprevention in patients with precancerous biliary tract cancer (19). NPC1L1 expression has been shown to represent an independent prognostic indicator for renal cell carcinoma, with higher expression levels being associated with poor survival outcomes (20). Ezetimibe may be used as a therapeutic target for cancer treatment and prevention (21). NPC1L1 inhibition disrupts the adaptive responses of drug-resistant tumor cells that persist following chemotherapy (22).
By contrast, NPC1L1 has been used in prognostic models based on necroptosis-related genes that have comprehensively described the relationship between necroptosis and tumor immunity in GC (23). Our present results showed that patients with NPC1L1-positive GC tissues had poorer survival rates than those with NPC1L1-negative ones. Regarding gastrointestinal cancer, NPC1L1 knockout has been shown to protect against colitis-associated tumorigenesis in mice (9). It can also serve as an independent prognostic marker for colorectal cancer, wherein high NPC1L1 expression is strongly associated with lymph node metastasis and pathological stage (24). Although the expression and function of NPC1L1 in GC remain unclear, our analysis suggested that it is associated with poor prognosis and may play an important role in patients with this malignancy. It may, therefore, represent a key molecular target for GC treatment in the future, although further analyses are required before this notion can be confirmed.
Study limitations. This was a retrospective study conducted at only two centers that included a relatively small number of patient samples. It, therefore, remains unclear whether our results reflect all cases of GC. This study only demonstrated that the expression of NPC1L1 in GC is associated with poor prognosis; however, the mechanisms underlying this continue to remain unclear. Although we identified NPC1L1 gene in the 5-FU resistant gastric cancer cell line, the relationship between NPC1L1 and 5-FU resistance has not been elucidated, and the mechanism is unknown. Despite these concerns, the focus on NPC1L1 expression in GC nevertheless represents an important finding.
Conclusion
We confirmed that NPC1L1 is expressed in normal gastric tissues, as well as in GC tissues to higher degrees. GC tissues with higher expression levels of this protein at their most invasive sites may be associated with poorer patient prognoses.
Acknowledgements
The Authors would like to thank Editage (www.editage.com) for their assistance with English language editing.
Footnotes
Authors’ Contributions
T.I. performed the experiments and drafted the manuscript. I.Y. and T.T prepared the resected specimens and clinical data. C.S. and T.T performed the immunohistochemical staining and summarized the evaluations of the tumor samples. M.F., R.M., and N.M. supervised the study. All of the Authors read and approved the final submitted version of the manuscript.
Conflicts of Interest
The Authors declare no conflicts of interest associated with this work.
Funding
This work was supported by JSPS KAKENHI Grant Number JP21K16469.
- Received January 18, 2025.
- Revision received February 1, 2025.
- Accepted February 4, 2025.
- Copyright © 2025 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) 4.0 international license (https://creativecommons.org/licenses/by-nc-nd/4.0).