- Open Access
Inhibition of FASN suppresses the malignant biological behavior of non-small cell lung cancer cells via deregulating glucose metabolism and AKT/ERK pathway
Lipids in Health and Disease volume 18, Article number: 118 (2019)
Fatty acid synthase (FASN) is overexpressed in most human carcinomas, including non-small cell lung cancer (NSCLC), and contributes to poor prognosis. An increasing number of studies have highlighted the potential function of FASN as both a biomarker and therapeutic target for cancers. However, the underlying molecular mechanisms of FASN in glucose metabolism and the malignant biological behavior of NSCLC remain the subjects of intensive investigation.
FASN expression was depleted by FASN-siRNA in A549 and NCI-H1299 cell lines to detect the function of glucose metabolism and the malignant biological behavior of NSCLC cells. Western-blot and qPCR were applied to determine the expressions of FASN, t-AKT, p-AKT, t-ERK, p-ERK, PKM2, HK2 and AZGP1. ATP and lactate were detected to determine the activation of glucose metabolism. CCK8 and transwell assays were used to detect the proliferation, invasion, and migration capacity of the two types of NSCLC cells. The xenograft mouse model was used to evaluate tumor weights after suppression of FASN.
LV-FASN-siRNA and its control lentiviral vector were successfully transfected into the two types of NSCLC cells (A549 and NCI-H1299). LV-FASN siRNA significantly suppressed FASN expression in both NSCLC cell types, and expressions of p-AKT, p-ERK, PKM2, and AZGP1 were also significantly decreased. Notably, the levels of ATP and lactate were significantly decreased after transfection with LV-FASN siRNA. The proliferation of both NSCLC cell types was decreased after suppression of FASN. The invasion and migration capacity of A549, but not NCI-H1299, were inhibited following down-regulation of FASN. In vivo, inhibition of FASN caused a marked animal tumor weight loss.
FASN was involved in glucose metabolism via down-regulation of the AKT/ERK pathway and eventually altered the malignant phenotype in lung cancer cells.
Lung cancer is currently one of the most frequently occurring cancers and is the leading cause of cancer-related death in the world. Non-small cell lung cancer (NSCLC) is a heterogeneous class of tumors that account for approximately 85% of all lung cancer cases globally . Despite rapid developments in therapeutic strategies for NSCLC, the five-year survival rate and final prognosis for NSCLC patients remain very poor. Therefore, understanding the molecular mechanisms behind NSCLC would be of great benefit for its early diagnosis and treatment.
Metabolic reprogramming has received increasing amounts of attention as a hallmark of human cancers . The enhancement of glucose metabolism in cancer cells provides sufficient ATP and numerous carbon intermediates for the biosynthesis of lipids, amino acids, and nucleotides in most human cancers . Additionally, overactive lipid metabolism provides the material basis for the proliferation and migration of cancer cells . Numerous cancer cells undergo exacerbated endogenous fatty acid biosynthesis. A key biosynthetic enzyme of de novo fatty acid synthesis, FASN is over-expressed in most tumors and its activity is required for the malignant biological behavior of tumor cells. Moreover, over-expressed FASN also contributes to unfavorable prognoses and treatment resistance in various tumor types, including lung, bladder, prostate, ovarian, osteosarcoma, breast, colorectal, pancreatic and lymphoma [5,6,7,8,9,10,11,12,13,14]. FASN was negatively expressed in 57% (61/106) of NSCLC patients and FASN expression in stage I NSCLC has been reported to be associated with poor outcomes [15, 16]. However, the relationship between FASN and glucose metabolism in NSCLC is largely unknown.
FASN expression is regulated by SREBP-1c, NF-Y, EGCG, AZGP1, NAC1, P300 acetyltransferase, and USP2a isopeptidase. These regulators are modulated by PI3K/AKT/mTOR, ERK/MAPK, Wnt/β-catenin, and protein kinase C signaling cascades [17,18,19,20]. The expression of FASN is down-regulated after inhibited Akt/mTOR pathway. Additionally, the proliferation of cancer cells is down-regulated after treatment with different FASN inhibitors [22,23,24] and suppression of FASN expression inhibits the proliferation and migration of colorectal cancer cells via VEGF and VEGFR-2. It is noteworthy that the activity of the PI3K/AKT/mTOR pathway plays an important role in cellular glucose metabolism.[26, 27] Consistently, activation of the ERK/MAPK pathway has been reported to up-regulate the expression of some essential enzymes involved in glucose metabolism such as PKM2 and HK2.[28, 29] These findings demonstrate that there may be molecular interactions between FASN and its upstream signaling pathway and/or glucose metabolism. Accordingly, in the current study, it is hypothesized that inhibition of FASN will suppress the malignant biological behavior of NSCLC cells via deregulation of glucose metabolism and the AKT/ERK pathway.
Materials and methods
Cell lines and cell culture
Two types of classic human NSCLC cell lines (A549 and NCI-H1299) were used in this study and were obtained from the Institute of the Chinese Academy of Sciences (Shanghai, China). The A549 and NCI-H1299 cells were cultured in RPMI-1640 medium (Invitrogen, Thermo Fisher Scientific, USA) plus penicillin G (100 U/ml, Beyotime, China), streptomycin (100 μg/ml, Corning, China) and 10% fetal bovine serum (Hyclone, Life Sciences, Shanghai, China). The cells were incubated in an incubator (Thermo, Waltham, MA, USA) at 37 °C in a humidified atmosphere of 5% CO2 and 95% air.
Lentiviral vectors constructed for FASN small hairpin RNA were purchased from Shanghai Genechem Co., Ltd. (Shanghai, China). This double-stranded siRNA was synthesized according to the manufacturer’s instructions and targeted for AACCCTGAGATCCCAGCGCTG. FASN-siRNA negative control is a nonspecific control pool (Shanghai Genechem Co., Ltd). Briefly, FASN RNAi lentiviral vectors and control lentiviral vectors were mixed with infection solution and added to the cell suspension. The cells were continuously incubated for 48 h, following which the cell culture medium was charged by adding polybrene (5 μg/ml). Green fluorescence (GFP) was detected by fluorescence microscopy (Nikon, TE2000, Tokyo, Japan) to determine the transfection efficiency. Cells were classified into three groups: 1) a blank group (wild-type A549 and NCI-H1299 cells); 2) a control group (A549 and NCI-H1299 cells transfected by FASN-siRNA negative control); and 3) an experimental group (A549 and NCI-H1299 cells transferred by FASN-siRNA).
Total mRNA isolation and RT-qPCR
Total cellular RNA was isolated using TRIzol reagent (Invitrogen, USA), dissolved in RNA-free H2O and stored at − 80 °C. RNA (1 μg) was used to obtain high-quality cDNA using the Hiscript™ first strand cDNA synthesis kit (Vazyme, Nanjing, China) according to the manufacturer’s protocols. The PCR system was used to amplify all transcripts using the AceQTM qPCR SYBR® Green kit. A 20 uL reaction volume was prepared from cDNA (2 μL), SYBR® Green Master Mix (10 μL), upstream and downstream primer (0.8 μL) and H2O (7.2 μL). The primer sequences were as follows: FASN (sense 5′-CGACAGCACCAGCTTCGCCA-3′, antisense 5′-CACGCTGGCCTGCAGCTTCT-3′), Akt (sense 5′-AAGCACCGCGTGACCATGAA-3′, antisense 5′-TCTTAATGTGCCCGTCCTTG-3′), AZGP1 (sense 5′-CAACCCTTGCTTCCTAGCTG-3′, antisense 5′-ACCACCAATGCCAAAGTAGCACC-3′), ERK (sense 5′-GCTCACCCTTACCTGGAACA-3′, antisense 5′-GGACCAGATCCAAAAGGACA-3′), and GAPDH (sense 5′-GAAGGTCGGAGTCAACGGATT-3′, antisense 5-CGCTCCTGGAAGATGGTGAT-3′). qPCR was designed with the following conditions: predenaturation at 95 °C for 5 mins followed by 35 cycles of denaturation at 95 °C for 10 s, annealing at 60 °C for 30 s and elongation at 72 °C for 30 s. Target gene mRNA expression was verified and analyzed with the StepOnePlus Real-Time PCR system using GAPDH as an internal standard. Relative transcripts were calculated using the 2−ΔΔCTmethod. All experiments were repeated in triplicate.
Protein isolation and Western-blot
The three different cell groups were harvested and digested using RIPA lysis buffer (500 μl, Beyotime, Shanghai, China). The samples were then centrifuged at 14,000 g for 15 min at 4 °C. Protein concentrations were determined using BCA kits (Beyotime, Shanghai, China). 2× sample loading buffer was added to the protein samples and the mixture heated at 95 °C for 5 min. Equal amounts of proteins were resolved by electrophoresis in 10% SDS-polyacrylamide gel and then transferred onto NC membranes (Immobilon, Millipore, Bedford, MA). The membranes were blocked with 5% skimmed milk at RT for 1 h, followed by incubation overnight at 4 °C with primary antibodies (anti-FASN, anti-tEKR, anti-pERKThr202/Tyr204, anti-tAKT, anti-pAKTser473, anti-AZGP1, anti-PKM2, anti-HK2, and anti-GAPDH) at a 1:2000 dilution. The membranes were washed with TBST three times and incubated with goat anti-rabbit IgG antibody (Santa Cruz, CA, 1:5000) conjugated with HRP at RT for 1 h. Immunoreactivity was determined using the enhanced ECL Plus™ chemiluminescence kit (Beyotime, Shanghai, China) and an imaging and analysis system.
Cell viability assay
The cell viabilities of A549 and NCI-H1299 cells after FASN-siRNA transfection were assessed using the Cell Counting Kit-8 assay (Kaiji, Nanjing, China). The different cell groups were suspended at 1000 cells/well in RPMI1640 complete medium (100 μl), then transfected with FASN-siRNA and control FASN-siRNA. At 0, 1, 2, 3, 4, and 5 days after transfection, CCK-8 (10 μl) was added into each well and the plate was incubated for 1 h at 37 °C. Absorbance at 450 nm was measured using an ELISA plate reader (Thermo, Waltham, MA, USA). The OD450 value was inversely proportional to the degree of cell proliferation. Each group comprised three duplicated wells, and the assays were performed three times independently.
Transwell migration and invasion assay
Cell migration or invasion assays were performed using a 24-well Boyden chamber with Matrigel. Briefly, 1 × 104 target cells transfected with FASN-siRNA were plated onto the upper chamber. The lower chamber was filled with RPMI-1640 medium containing 10% fetal bovine serum. The transwell invasion system was incubated at 37 °C for 24 h. The cells on the surface of the basement membrane were wiped off and the lower surfaces of the cells were fixed by cool acetone then stained with crystal violet. The numbers of invaded cells were counted under a microscope. The experiment was performed in triplicate.
ATP and lactic acid assay
To detect the impact of FANS-RNAi on glucose metabolism, the levels of ATP and lactic acid were detected using the appropriate kits. ATP assay kits and lactic acid assay kits were purchased from Nanjing Jian-cheng Bioengineering Institute (Nanjing, China). Briefly, after A549 and NCI-H1299 transfection by FASN-siRNA, six groups of cells were harvested and homogenized in the cell lysates. The standard sample was diluted by a gradient to make a standard curve using a fluorescence microplate reader (BioTek model FLx800, CA). The ATP and lactic acid computation formulas are as follows:
The experiments were performed in triplicate.
Xenograft mouse model
All experiments were approved by the Experimental Animal Ethics Committee of Southeast University (No: 20170104002). Six-week-old nu/nu mice were purchased from the Model Animal Research Center of Nanjing University, China. The mice were raised under SPF circumstances, and all animal experiments complied with WHO guidelines for the humane use and care of animals. A preliminary experiment was performed to detect cell tumorigenicity, wherein wild A549 and NCI-H1299 cells were harvested and resuspended in pre-cooled PBS, following which 106 target cells were injected into the left armpits of the nu/nu mice. The A549 cells were selected and used for subsequent experiments due to the poor tumorigenicity of the NCI-H1299 cells. The three groups of A549 cells were subcutaneously injected into the nu/nu mice. The mice were sacrificed after 2 weeks and their tumors were weighed.
In vitro experiments were confirmed by at least three independent experiments and analyzed by Student’s t-tests or one-way ANOVAs in SPSS software (version 13.0; SPSS, Inc., USA), multiple comparison between the groups was performed using S-N-K method. All data are presented as mean ± SD. Xenograft mouse experiment results were analyzed using tumor weights. Data are the median tumor volumes of five animals. Statistical significance was determined at P < 0.05 and P < 0.01.
Inhibition of FASN expression by lentiviral vectors-FASN-RNAi of two NSCLC cell lines
To specifically interfere with the FASN gene, A549 and NCI-H1299 cells were transfected separately with LV-FASN-siRNA to target FASN mRNA. The two cell types were also transfected with LV-control-siRNA to target nonspecific mRNA. Fluorescence (GFP) was detected by an inverted fluorescence microscope (100×) after 48 h transfection to determine transfection efficiency. The relative expressions of target genes were detected by RT-qPCR. The relative expressions of FASN mRNA for the experimental group’s A549 and NCI-H1299 cells were found to be 0.25 ± 0.17 and 0.11 ± 0.06, respectively. These values were significantly lower than those of blank group cells (both P = 0.00) and control group cells (1.32 ± 0.36, P = 0.00 and 0.91 ± 0.37, P = 0.02, respectively). Additionally, the relative expressions of AZGP1 mRNA for the experimental group were 0.57 ± 0.13 and 0.35 ± 0.25 for A549 and NCI-H1299 cells, respectively. These values were also significantly lower than those of the blank group’s A549 and NCI-H1299 cells (P = 0.00 and P = 0.01, respectively), and the control group’s cells (1.19 ± 0.35, P = 0.045 and 1.14 ± 0.41, P = 0.047, respectively; Fig. 1ab). However, no significant difference in Akt and ERK mRNA expressions were observed between the A549 and NCI-H1299 cells of the three groups.
Inhibition of FASN expression suppresses the activity of Akt/ERK signaling pathway
Target protein expressions of A549 and NCI-H1299 cells in the different treatment groups were measured by western-blot after inhibition of FASN. The expression of FASN was significantly suppressed in the two experimental groups compared to the other groups. Inhibition of FASN expression also significantly inhibited phosph-Akt and phosph-ERK in the A549 and NCI-H1299 cells of the experimental groups compared to those of the two blank and two control groups. Inhibition of FASN also substantially decreased the expression of PKM2, a key enzyme in glucose metabolism, while the expression of HK2, another key enzyme in glucose metabolism, was not significantly decreased. In addition, suppression of FASN dramatically decreased the expression of AZGP1, which is a multifaceted protein associated with lipid mobilization and is regulated by metabolic pathways. However, no significant differences in total-Akt and total-ERK expressions were found any group of A549 and NCI-H1299 cells (Fig. 2).
Suppression of FASN decreases the activity of glucose metabolism in two NSCLC cell lines
To better understand the effects of FASN on glucose metabolism, the levels of ATP and lactic acid were detected after FASN deficiency. The ATP concentration for A549 experimental group cells was 548.75 ± 225.46 mmol/grot, which was significantly lower than for wild-type A549 cells (1232.88 ± 212.18 mmol/grot, P = 0.00) and the A549 control group (1308.63 ± 354.99 mmol/grot, P = 0.02). A lower ATP concentration (358.56 ± 249.07 mmol/grot) was also found in NCI-H1299 cells of the experimental group compared with those of the blank and control groups (P = 0.00 and P = 0.03, respectively; Fig. 3a, b). The lactic acid concentration in A549 cells of the experimental group was 69.38 ± 16.07 mmol/L, which was significantly lower than for those of the blank group (94.86 ± 9.65 mmol/L, P = 0.03) and control group (97.87 ± 10.54 mmol/L, P = 0.02). Similar lactic acid results were also found for NCI-H1299 cells (Fig. 3c, d). These findings suggested that FASN participates in the regulation of glucose metabolism in the two NSCLC cell lines. In combination with the findings of the previous part of the study, these results show that inhibition of FASN expression down-regulates the activity of glucose metabolism via the Akt/ERK/PKM2 pathway.
Inhibition of FASN suppresses the malignant biological behavior of NSCLC cells
To check whether FASN deficiency affects the malignant biological behavior of NSCLC cells, the proliferation, migration, and invasion of NSCLC cells were detected by CCK8 and transwell assay after FASN inhibition. The CCK8 results show that the viability of A549 and NCI-H1299 cells on the fifth day after transfection with FASN-siRNA was significantly lower than in the corresponding blank and control group cells (P < 0.05; Fig. 4a, b). As exhibited by the transwell assay, the number of A549 experimental group cells was 54 ± 16.14, which was significantly lower than for the A549 blank group and the A549 control group (P < 0.00; Fig. 5a, b). Interestingly, there was no statistically significant difference in the numbers of migrating cells in the NCI-H1299 experimental group and corresponding blank or control groups (Fig. 5c, d).
Inhibition of FASN blocks xenograft tumor growth of NSCLC in nu/nu mice
The xenograft tumor model was used to determine the effect of FASN inhibition in NSCLC progress. Investigation of the tumorigenicity of A549 and NCI-H1299 cells indicated that NCI-H1299 cells had poorer tumorigenicity than A549 cells. As a result, A549 cells were selected for the xenograft tumor model (Fig. 6a). The three groups of A549 cells were collected and injected into nu/nu mice, with tumors isolated and weighed after 3 weeks. Tumor weights for the control and blank groups were 0.51 ± 0.13 g and 0.46 ± 0.10 g, respectively. However, the tumor weight for the A549 experimental group was 0.19 ± 0.06 g, significantly lower than for the control and blank groups (P = 0.00 and P = 0.00, respectively; Fig. 6b, c). There was no significant difference in tumor weight between the control and blank groups. These findings indicate that inhibition of FASN blocks xenograft tumor growth of NSCLC in vivo under experimental conditions.
In 1994, FASN (known as antigen OA-519) was identified as a prognostic molecule for breast cancer patients with obviously poor prognoses . FASN is a rate-limiting enzyme of de novo fatty acid synthesis and the lipid synthetic pathway; normal cells have lower FASN expression due to the inactivation of endogenous fatty acid metabolism. Recently, overactivated FASN has been found in different types of cancers . FASN is a multifunctional enzyme, and its main physiological function is to supply lipids for membrane production and the synthesis of fatty acids. Previous studies have suggested that FASN expression and its activity contribute to the proliferation, metastasis, migration, and invasion of cancer cells . The inhibition of FASN significantly improves the malignant biological behavior of many cancer cell lines .
In this study, inhibition of FASN by FASN RNAi significantly suppressed the proliferation of two types of NSCLC cells: A549 and NCI-H1299. However, inhibition of FASN suppressed the migration and invasion of A549 cells, but not NCI-H1299 cells. These results suggest that FASN could be a key regulator of migration and invasion in NSCLC cells, but it is not ubiquitous in all NSCLC cells since A549 was isolated from primary lung cancer while NCI-H1299 was isolated from metastatic lung cancer (lymph node) and contained the NRAS gene mutant. To better understand the effects of FASN in the tumor growth of NSCLC cells, a xenograft tumor model was constructed. The results show that inhibition of FASN blocked xenograft tumor growth of NSCLC in vivo, suggesting that FASN contributes to the malignant biological behavior of NSCLC.
Aerobic glycolysis and de novo lipid biosynthesis are overactive in most malignant tumors. These overactive metabolic factors provide adequate energy and material intermediates for the proliferation, metastasis, migration, and invasion of cancer cells [34,35,36]. Glucose metabolism provides acetyl-CoA for de novo fatty acid synthesis, which could be regulated by FASN. However, it remains unclear whether FASN functions as a regulator in the glucose metabolism of NSCLC. AZGP1 plays a key role in lipid mobilization  and its expression may be regarded as a prognostic biomarker of NSCLC . AZGP1 mRNA expression in human lung tissue has been found to correlate with the stage of lung cancer disease . Additionally, activation of Akt/ERK pathways has been found in most NSCLC tissues and is related to tumor growth, apoptosis, and drug resistance in lung cancer [40,41,42]. However, the relationship between the FASN and Akt/ERK pathways remains poorly understood in NSCLC. As a result, this study also determined the expression of target molecules and the level of glucose metabolism activity.
The present study determined Akt/ERK pathway and glucose metabolic activities under FASN deficiency. RT-qPCR and western-blot results show that inhibition of FASN suppressed the expression of phosph-Akt and phosph-ERK for the two types of NSCLC cells. Simultaneously, the expressions of PKM2, which are key enzymes of glucose metabolism, were also decreased in the two types of NSCLC cells. Additionally, the levels of ATP and lactic acid were detected to evaluate glucose metabolism after loss of FASN expression, with the results showing that inhibition of FASN suppressed ATP and lactic acid levels. These findings imply that FASN can be a key regulator in glucose metabolism via the Akt/ERK pathways. However, a clearer understanding may be obtained by conducting studies that recover Akt or PKM2 inhibitors.
The present study demonstrates that FASN deficiency clearly inhibits the malignant phenotypes of lung cancer cells in vivo and in vitro. Additionally, suppression of FASN reduces the activities of glucose metabolism and the AKT/ERK pathway. Overall, inhibition of FASN suppresses malignant biological behavior, glucose metabolism but also the activity of the Akt/ERK pathway of NSCLC cells. FASN could be a key factor that involves in the AKT/ERK pathway activity, glucose metabolism and even altered the malignant phenotype in lung cancer cells. These findings yield profound insights into the functions and relationships of FASN, the Akt/ERK pathway, and glucose metabolism in NSCLC.
Protein Kinase B
Extracellular signal regulated kinase
Human kallikrein 2
mammalian target of rapamycin
Embryonic pyruvate kinase M2
Gridelli C, Rossi A, Carbone DP, et al. Non-small-cell lung cancer. Nat Rev Dis Primers. 2015;1:15009.
Ward PS, Thompson CB. Metabolic reprogramming: a cancer hallmark even Warburg did not anticipate. Cancer Cell. 2012;21(3):297–308.
Vander Heiden MG, Lunt SY, Dayton TL, et al. Metabolic pathway alterations that support cell proliferation. Cold Spring Harb Symp Quant Biol. 2012;76:325–34.
Beloribidjefaflia S, Vasseur S, Guillaumond F. Lipid metabolic reprogramming in cancer cells. Oncogenesis. 2016;5(1):e189.
Lupu R, Menendez JA. Targeting fatty acid synthase in breast and endometrial cancer: an alternative to selective estrogen receptor modulators? Endocrinology. 2006;147(9):4056–66.
Bartolacci C, Padanad M, Andreani C, et al. Fatty acid synthase is a therapeutic target in mutant KRAS lung Cancer. J Thorac Oncol. 2017;12(8):S1538.
Zaytseva YY, Rychahou PG, Gulhati P, et al. Inhibition of fatty acid synthase attenuates CD44-associated signaling and reduces metastasis in colorectal cancer. Cancer Res. 2012;72(6):1504–17.
Wang YY, Kuhajda FP, Li JN, et al. Fatty acid synthase (FAS) expression in human breast cancer cell culture supernatants and in breast cancer patients. Cancer Lett. 2001;167(1):99–104.
Gelebart P, Zak Z, Anand M, et al. Blockade of fatty acid synthase triggers significant apoptosis in mantle cell lymphoma. PLoS One. 2012;7(4):e33738.
Bhatt AP, Jacobs SR, Freemerman AJ, et al. Dysregulation of fatty acid synthesis and glycolysis in non-Hodgkin lymphoma. Proc Natl Acad Sci. 2012;109(29):11818–23.
Di Vizio D, Adam RM, Kim J, et al. Caveolin-1 interacts with a lipid raft-associated population of fatty acid synthase. Cell Cycle. 2008;7(14):2257–67.
Kuhajda FP, Jenner K, Wood FD, et al. Fatty acid synthesis: a potential selective target for antineoplastic therapy. Proc Natl Acad Sci. 1994;91(14):6379–83.
Cai Y, Wang J, Zhang L, et al. Expressions of fatty acid synthase and HER2 are correlated with poor prognosis of ovarian cancer. Med Oncol. 2015;32(1):391.
Sunami Y, Rebelo A, Kleeff J. Lipid metabolism and lipid droplets in pancreatic Cancer and stellate cells. Cancers. 2017;10(1):3.
Piyathilake CJ, Frost AR, Manne U, et al. The expression of fatty acid synthase (FASE) is an early event in the development and progression of squamous cell carcinoma of the lung. Hum Pathol. 2000;31(9):1068–73.
Visca P, Sebastiani V, Botti C, et al. Fatty acid synthase (FAS) is a marker of increased risk of recurrence in lung carcinoma. Anticancer Res. 2004;24(6):4169–74.
Schcolnikcabrera A, Chávezblanco A, Domínguezgómez G, et al. Orlistat as a FASN inhibitor and multitargeted agent for cancer therapy.[J]. Expert Opin Investig Drugs. 2018;27(5):475-89.
Buckley D, Duke G, Heuer TS, et al. Fatty acid synthase - Modern tumor cell biology insights into a classical oncology target.[J]. Pharmacol Ther. 2017;177:23-31.
Khiewkamrop P, Phunsomboon P, Richert L, et al. Epistructured catechins, EGCG and EC facilitate apoptosis induction through targeting de novo lipogenesis pathway in HepG2 cells. Cancer Cell Int. 2018;18(1):46.
Chang L, Tian X, Lu Y, et al. Alpha-2-glycoprotein 1(AZGP1) regulates biological behaviors of LoVo cells by down-regulating mTOR signaling pathway and endogenous fatty acid synthesis. PLoS One. 2014;9(6):e99254.
Li N, Bu X, Tian X, et al. Fatty acid synthase regulates proliferation and migration of colorectal cancer cells via HER2-PI3K/Akt signaling pathway. Nutr Cancer. 2012;64(6):864–70.
Chang L, Wu P, Senthilkumar R, et al. Loss of fatty acid synthase suppresses the malignant phenotype of colorectal cancer cells by down-regulating energy metabolism and mTOR signaling pathway. J Cancer Res Clin Oncol. 2016;142(1):59–72.
Röhrig F, Schulze A. The multifaceted roles of fatty acid synthesis in cancer. Nat Rev Cancer. 2016;16(11):732–49.
Sangeetha M, Deepa PR, Rishi P, et al. Global gene deregulations in FASN silenced retinoblastoma Cancer cells: molecular and Clinico-pathological correlations. J Cell Biochem. 2015;116(11):2676–94.
Zaytseva YY, Elliott VA, Rychahou P, Mustain WC, et al. Cancer cell-associated fatty acid synthase activates endothelial cells and promotes angiogenesis in colorectalcancer. Carcinogenesis. 2014;35:1341–51.
Hennessy BT, Smith DL, Ram PT, et al. Exploiting the PI3K/Akt pathway for cancer drug discovery. Nat Rev Drug Discov. 2005;4(12):988.
Karar J, Maity A. PI3K/AKT/mTOR pathway in angiogenesis. Front Mol Neurosci. 2011;4:51.
Carr EL, Kelman A, Wu GS, et al. Glutamine uptake and metabolism are coordinately regulated by ERK/MAPK during T lymphocyte activation. J Immunol. 2010;185(2):1037–44.
Wang C, Che L, Hu J, et al. Activated mutant forms of PIK 3 CA cooperate with RasV12 or c-met to induce liver tumour formation in mice via AKT 2/mTORC 1 cascade. Liver Int. 2016;36(8):1176–86.
Pizer ES, Jackisch C, Wood FD, Pasternack GR, Davidsonet NE, et al. Inhibition of fatty acid synthesis induces programmed cell death in human breast cancer cells.[J]. Cancer Res. 1996;56(12):2745-7.
Menendez JA, Lupu R. Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis. Nat Rev Cancer. 2007;7(10):763–77.
Kuhajda FP. Fatty-acid synthase and human cancer: new perspectives on its role in tumor biology. Nutrition. 2000;16:202–8.
Gómez H, Kellum JA, Ronco C. Metabolic reprogramming and tolerance during sepsis-induced AKI[J]. Nat Rev Nephrol. 2017;13(3):143-51.
Gómez H, Kellum JA, Ronco C. Metabolic reprogramming and tolerance during sepsis-induced AKI. Nat Rev Nephrol. 2017;13(3):143–51.
Menendez J A, Joven J, Cufí S, et al. The Warburg effect version 2.0: metabolic reprogramming of cancer stem cells.[J]. Cell Cycle. 2013;12(8):1166-79.
Bao Y, Bing C, Hunter L, et al. Zinc-alpha2-glycoprotein, a lipid mobilizing factor, is expressed and secreted by Human (SGBS) adipocytes. FEBS Lett. 2005;579:41–7.
Bao Y, Bing C, Hunter L, Jenkins JR, Wabitsch M, et al. Zinc-alpha2-glycoprotein, a lipid mobilizing factor, is expressed and secreted by human (SGBS) adipocytes. FEBS Lett. 2005;579:41–7.
Albertus DL, Seder CW, Chen G, et al. AZGP1 autoantibody predicts survival and histone deacetylase inhibitors increase expression in lung adenocarcinoma. J Thorac Oncol. 2008;3(11):1236–44.
Falvella FS, Spinola M, Pignatiello C, et al. AZGP1 mRNA levels in normal human lung tissue correlate with lung cancer disease status. Oncogene. 2008;27(11):1650.
Lee SM, Lee CT, Kim YW, et al. Hypoxia confers protection against apoptosis via PI3K/Akt and ERK pathways in lung cancer cells. Cancer Lett. 2006;242(2):231–8.
Lu ZJ, Zhou Y, Song Q, et al. Periplocin inhibits growth of lung Cancer in vitro and in vivo by blocking Akt/ERK signaling pathways. Cell Physiol Biochem. 2010;26(4–5):609–18.
Fan DP, Zhang YM, XC H, et al. Activation of Akt/ERK confers non-small cell lung cancer cells resistance to vinorelbine. Int J Clin Exp Pathol. 2014;7(1):134–43.
This study was supported by Jiangsu Provincial Special Program of Medicine Science (No. BE2015611) and Jiangsu Natural Science Foundation (BK20171120).
Availability of data and materials
The datasets used and/or analyzed in the present study are available from the corresponding author upon reasonable request.
Ethics approval and consent to participate
The study was approved by Nanjing First Hospital, Nanjing Medical University, and all animal experiments complied with the WHO guidelines for the humane use and care of animals.
Consent for publication
Consent for publication was obtained from the participants.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Chang, L., Fang, S., Chen, Y. et al. Inhibition of FASN suppresses the malignant biological behavior of non-small cell lung cancer cells via deregulating glucose metabolism and AKT/ERK pathway. Lipids Health Dis 18, 118 (2019). https://doi.org/10.1186/s12944-019-1058-8
- Fatty acid synthase
- AKT/ERK pathway
- Glucose metabolism