Literature DB >> 30450847

Cancer Metabolism as a Mechanism of Treatment Resistance and Potential Therapeutic Target in Hepatocellular Carcinoma.

Misu Lee1,2, Haeyong Ko1, Mijin Yun3.   

Abstract

Various molecular targeted therapies and diagnostic modalities have been developed for the treatment of hepatocellular carcinoma (HCC); however, HCC still remains a difficult malignancy to cure. Recently, the focus has shifted to cancer metabolism for the diagnosis and treatment of various cancers, including HCC. In addition to conventional diagnostics, the measurement of enhanced tumor cell metabolism using F-18 fluorodeoxyglucose (18F-FDG) for increased glycolysis or C-11 acetate for fatty acid synthesis by positron emission tomography/computed tomography (PET/CT) is well established for clinical management of HCC. Unlike tumors displaying the Warburg effect, HCCs vary substantially in terms of 18F-FDG uptake, which considerably reduces the sensitivity for tumor detection. Accordingly, C-11 acetate has been proposed as a complementary radiotracer for detecting tumors that are not identified by 18F-FDG. In addition to HCC diagnosis, since the degree of 18F-FDG uptake converted to standardized uptake value (SUV) correlates well with tumor aggressiveness, 18F-FDG PET/CT scans can predict patient outcomes such as treatment response and survival with an inverse relationship between SUV and survival. The loss of tumor suppressor genes or activation of oncogenes plays an important role in promoting HCC development, and might be involved in the "metabolic reprogramming" of cancer cells. Mutations in various genes such as TERT, CTNNB1, TP53, and Axin1 are responsible for the development of HCC. Some microRNAs (miRNAs) involved in cancer metabolism are deregulated in HCC, indicating that the modulation of genes/miRNAs might affect HCC growth or metastasis. In this review, we will discuss cancer metabolism as a mechanism for treatment resistance, as well as an attractive potential therapeutic target in HCC. © Copyright: Yonsei University College of Medicine 2018.

Entities:  

Keywords:  Hepatocellular carcinoma; cancer metabolism; drug resistance; positron emission tomography/computed tomography (PET/CT)

Mesh:

Substances:

Year:  2018        PMID: 30450847      PMCID: PMC6240564          DOI: 10.3349/ymj.2018.59.10.1143

Source DB:  PubMed          Journal:  Yonsei Med J        ISSN: 0513-5796            Impact factor:   2.759


INTRODUCTION

Hepatocellular carcinoma (HCC) is the fifth leading cause of cancer mortality worldwide.12 The main cause of HCC is cirrhosis, which originates from infections caused by chronic hepatitis B virus, hepatitis C virus, or alcohol consumption.34 Patients with early-stage HCC are often asymptomatic, and it is usually detected at intermediate or advanced stages in which patients cannot be treated by curative hepatic resection or liver transplantation.5 In addition, although surgical treatment for early HCC has improved patient outcome, the risk of recurrence remains substantial and there is still no curative therapy for advanced HCC. Therefore, there is an increasing need for effective early diagnosis and development of novel therapeutics for HCC patients. Owing to its important role in metabolic reprogramming during carcinogenesis, cancer metabolism has gained popularity in the fields of cancer diagnosis and therapy. This review summarizes the current state of research related to cancer metabolism, to help identify potential new therapeutic targets for HCC.

CLINICAL APPLICATIONS OF METABOLIC IMAGING IN HCC

Alpha-fetoprotein (AFP) was the first glycoprotein identified as a marker of HCC, and this protein is used to screen for this particular disease.6 However, approximately 30% of HCC patients maintain normal AFP levels, and some HCC patients also have relatively low levels of AFP.7 To overcome these problems, several imaging techniques are used to diagnose patients with suspected HCC, such as ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography/computed tomography (PET/CT), and angiography. Of the imaging modalities, clinical efficacy of functional imaging based on cancer metabolism for the assessment of HCC has been actively investigated. F-18 fluorodeoxyglucose (18F-FDG), a surrogate for enhanced glucose metabolism, has been used widely for HCC. The uptake mechanism and biochemical pathway of 18F-FDG metabolism has been extensively studied in vitro and in vivo; transport through cell membrane via glucose transporter isoform 1 (GLUT1) and intracellular phosphorylation by hexokinase (HK) have been identified as key steps for subsequent accumulation in HCC.8910111213 Many studies have shown upregulation of GLUT1 in HCC, but not in non-tumor liver tissue.1415 Amann, et al.15 demonstrated a positive correlation between GLUT1 expression and Ki-67 labeling index in patients with HCC, suggesting that its expression is associated with advanced tumor stage and poor differentiation. In addition, poor survival has been reported in patients with high tumor GLUT1 expression, based on The Cancer Genome Atlas (TCGA) data set.16 A relationship between enhanced FDG uptake and dysregulation of epithelial-mesenchymal transition-related proteins was demonstrated in HCC through in vitro and patient tissue experiments.16 Representative of the underlying biological characteristics of tumor, 18F-FDG PET/CT images are predictive of tumor recurrence or survival after various treatments.17 Despite displaying increased glycolysis even with the presence of oxygen, the so-called Warburg effect, HCCs are notorious for exhibiting a wide spectrum of 18F-FDG uptake capabilities, considerably reducing the sensitivity of tumor detection. Alternatively, C-11 acetate has been proposed as a radiotracer for detecting tumors that are not identified based on 18F-FDG uptake (Figs. 1 and 2). Acetate is a source of acetyl-CoA, and it plays an essential role in regulating the activity and expression of proteins involved in regulation of intracellular biomass, lipogenesis, and acetylation.18 Acetate was shown to be utilized by tumors as an alternative nutrient under low cellular glucose uptake conditions, and C-11 acetate accumulation in tumors has been found to be associated with tumor progression.19 HCC has been reported to use acetate as a substrate for fatty acid biosynthesis through up-regulation of acetyl-CoA synthase and monocarboxylate transporter (MCT).20 Recent studies have indicated that MCT1 is a novel import system of acetate in non-glycolytic HCC tumors. Indeed, Fig. 3 shows various expressions of GLUT1 and MCT1 in HCC patients with different levels of 18F-FDG and 11C-acetate uptake. It was demonstrated that absorption of acetate by MCT1 promotes oxidative phosphorylation and lipid metabolism in non-glycolytic HCC tumors.21 Accordingly, combining 18F-FDG PET/CT with C-11 acetate PET/CT could be useful to provide relevant information on prognostic and molecular heterogeneity.
Fig. 1

Hepatocellular carcinoma positive for F-18 fluorodeoxyglucose (A), but negative for C-11 acetate (B).

Fig. 2

Hepatocellular carcinoma negative for F-18 fluorodeoxyglucose (A), but positive C-11 acetate (B).

Fig. 3

Differences in the expression of glucose transport 1 (A and C) and monocarboxylate transporter 1 (B and D) in hepatocellular carcinoma (HCC) samples, based on 18F-fluorodeoxyglucose and 11C-acetate uptake. Human HCC samples were used. Immunohistochemistry (IHC) was performed as described previously.16 After antigen retrieval, IHC was performed using indicated antibodies. Scale bars: 40 µm.

DIFFERENTIAL GENE EXPRESSION THAT ALTERS METABOLISM IN HCC CELLS

HCC is a heterogeneous disease, both clinically and from a molecular standpoint. Different risk factors such as hepatitis virus infection, aflatoxin exposure, or alcohol abuse are linked to specific pathways, and these can be strongly associated with certain types of HCC. Based on the results of HCC tumor sequencing, different driver genes and associated oncogenic pathways have been identified, based on the composition of tumor source.22232425 Therefore, heterogeneity should be investigated to determine the etiological cause and affected pathways of HCC. High levels of heterogeneity are clinically relevant, as they lead to inconsistent treatment outcomes. Recently, deep sequencing/next generation sequencing has provided new insights into the complex molecular pathogenesis of HCC, including the identification of novel oncogenic pathways and driver genes.252627282930313233 Aberrant telomerase reverse transcriptase (TERT) activation is the most common somatic alteration observed in HCC (~70%). In addition to TERT, CTNNB1, TP53, and Axin1 are mutated at high frequency in HCC. Table 1 summarizes the most relevant mutations in HCC.
Table 1

List of the Most Relevant Mutations in Hepatocellular Carcinoma

De-regulated pathwayGeneFrequency (%)Etiology enrichment
Telomere maintenancTERT70Gain of functionAlcohol
Cell cycle controlTP5330Loss of functionHBV
RB18Loss of function
CDKN2A8Loss of functionAlcohol
CCND17Gain of function
CCNE15Gain of function
Wnt signalingCTNNB130Gain of functionAlcohol
AXIN111Loss of function
ZNRF33Loss of function
AXIN21
APC1Loss of function
Chromatin remodelingARID1A13Loss of functionAlcohol
MLL410
ARID27
KMT2D6
KMT2B3
KMT2C2
PI3K/mTOR signalingTSC25Loss of function
TSC13Loss of function
DAPK13Loss of function
PI3CA3Gain of function
mTOR2Gain of function
RAS/MAPK signalingRPS6KA37Loss of function
FGF194Gain of function
NTRK33
EPHA43
JAK/STAT signalingIL6ST3Gain of function
JAK11
Oxidative stressNFE2L26Gain of function
KEAP14Loss of function
Warburg effect occurs downstream of survival signaling pathways, which are altered by loss of tumor suppressor genes or activation of oncogenes such as c-Myc, Ras, Akt, TP53, and HIF-1α.3435363738 c-Myc was reported to result in mouse liver tumors with elevated glycolysis39. HIF-1α, a major transcription factor involved in hypoxic response of cancer cells,40 has been shown to play an important role in several cancers by promoting tumorigenesis, and might also be involved in the “metabolic reprogramming” of cancer cells.4142 This activates the transcription of genes encoding angiogenic cytokines and growth factors, such as VEGF and glycolytic enzymes including hexokinase1 (HK1), hexokinase2 (HK2), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and pyruvate kinase (PKM).434445 Moreover, HIF-1α enhances chemoresistance and radioresistance, whereas it suppresses differentiation and apoptosis in HCC.4647 As a result, elevated HIF-1α levels are associated with increased patient mortality and metastasis in various tumors, including HCC.484950 Certain gene mutations or loss-of-heterozygosity events alter metabolism in a HIF-1α-dependent manner. Although mutations in PTEN gene rarely occur in HCC, frequent loss of heterozygosity of PTEN allele has been identified (in 20–30% of HCC patients).5152 The loss of PTEN plays a critical role in HCC progression and patient outcome by increasing HIF-1α synthesis and stability.5354 The modulation of HIF-1α expression by epidermal growth factor/phosphatidylinositol 3-kinase (PI3K)/PTEN/AKT/FRAP pathway has implications in tumor angiogenesis.55 A few studies have shown that HIF-1 can be activated by Ras and membrane type-1 matrix metalloproteinases under normal oxygen conditions in cancer cells, providing new insight into regulation of cancer glycolysis beyond hypoxic condition.5657 Bufalin, a cardiotonic steroid, was shown to suppress tumor invasion and metastasis by targeting HIF-1α via PI3K/AKT/mTOR pathway, and thus has potential for HCC targeted therapy.58 Numerous microRNAs (miRNAs) have been shown to be associated with HCC. Six miRNAs have been consistently reported to be dysregulated in HCC, when compared to their expressions in non-tumorous tissue.596061 For example, miR-122 and miR-199a, which act as tumor suppressors by regulating the expression of cyclin G and components of PAK4/Raf/MEK/ERK pathway, are downregulated in this disease. Conversely, miR-21, miR-221, miR-222, and miR-224, which target various molecules including PTEN, SMAD4, CDKN1B, and CDKN1C, are upregulated in HCC. Some miRNAs that regulate cancer metabolism are also dysregulated in HCC. miR-34a plays a major role in regulation of cellular metabolism by targeting SIRT1, a key NAD-dependent deacetylating enzyme involved in a wide range of metabolic processes including lipid metabolism, glucose metabolism, and expression of other metabolic regulators.6263 This molecule inhibits cellular glycolysis by targeting HK1/2 and glucose-6-phosphate isomerase. miR-23a directly targets the key gluconeogenic enzyme glucose-6-phosphatase catalytic subunit (G6PC), and is significantly upregulated in primary human HCC.

NEW TREATMENTS TARGETING CANCER METABOLISM

Although sorafenib has limited efficacy, it is still the only standard treatment available for advanced HCC with portal vein invasion or extrahepatic spread.6465 However, other molecules are being developed for targeted therapy. Recent studies on metabolic regulation of cancer cell growth and metastasis have been actively performed. 2-deoxy-D-glucose (2-DG), a glucose analogue that is able to suppress glycolysis by competitively inhibiting HK2, has an effect on HCC growth.6667 The combination of conventional therapy and 2-DG has been reported to synergistically inhibit the proliferation of sorafenib-sensitive and sorafenib-resistant HCC cells.68 3-bromopyruvate (3-BP) directly inhibits HK2 activity and glycolysis pathway. In vitro and in vivo studies have demonstrated the anticancer effects of 3-BP on HCC, and consequently, this drug has been approved by the FDA.6970 Facilitative glucose transporters (GLUTs) have emerged as key factors that are required for increasing glucose uptake by cancer cells.1415 Therefore, small molecules targeting GLUT1 will inhibit cancer cell growth or metastasis by reducing glucose uptake. To increase GLUT1 targeting specificity, derivatives of GLUT1 inhibitor, such as fasentin7172 and WZB117,73 have been investigated. Regulation of hypoxia by molecules, including HIF-1, is an attractive potential therapeutic target for HCC as well as other cancers. The HIF-1α mRNA antagonist EZN-2968, a novel inhibitor of hypoxia-induced gene activation, is currently in Phase I trial for HCC patients.

CONCLUSIONS

Metabolic reprogramming is essential for angiogenesis, proliferation, invasion, and metastasis of cancer. It is also associated with de-differentiation, anti-apoptotic properties, and resistance to conventional chemotherapy and radiotherapy. In the future, cancer metabolism would represent an attractive potential therapeutic target. With their development, PET/CT scans combined with various metabolic radiotracers will offer clinical importance in selecting patients who would benefit from novel drugs targeting different pathways related to cancer metabolism
  73 in total

1.  Clinical usefulness of positron emission tomography with fluorine-18-fluorodeoxyglucose in the diagnosis of liver tumors.

Authors:  Y Iwata; S Shiomi; N Sasaki; H Jomura; S Nishiguchi; S Seki; J Kawabe; H Ochi
Journal:  Ann Nucl Med       Date:  2000-04       Impact factor: 2.668

2.  Genomic decoding of hepatocellular carcinoma.

Authors:  Snorri S Thorgeirsson
Journal:  Gastroenterology       Date:  2006-10       Impact factor: 22.682

3.  SL1122-37, a novel derivative of sorafenib, has greater effects than sorafenib on the inhibition of human hepatocellular carcinoma (HCC) growth and prevention of angiogenesis.

Authors:  Yizhuo Qin; Yuyin Lu; Ruiqi Wang; Wenbao Li; Xianjun Qu
Journal:  Biosci Trends       Date:  2013-10       Impact factor: 2.400

4.  Positron emission tomography scanning in the evaluation of hepatocellular carcinoma.

Authors:  M A Khan; C S Combs; E M Brunt; V J Lowe; M K Wolverson; H Solomon; B T Collins; A M Di Bisceglie
Journal:  J Hepatol       Date:  2000-05       Impact factor: 25.083

Review 5.  Tumor suppressors and cell metabolism: a recipe for cancer growth.

Authors:  Russell G Jones; Craig B Thompson
Journal:  Genes Dev       Date:  2009-03-01       Impact factor: 11.361

6.  Identification of driver genes in hepatocellular carcinoma by exome sequencing.

Authors:  Sean P Cleary; William R Jeck; Xiaobei Zhao; Kui Chen; Sara R Selitsky; Gleb L Savich; Ting-Xu Tan; Michael C Wu; Gad Getz; Michael S Lawrence; Joel S Parker; Jinyu Li; Scott Powers; Hyeja Kim; Sandra Fischer; Maha Guindi; Anand Ghanekar; Derek Y Chiang
Journal:  Hepatology       Date:  2013-09-24       Impact factor: 17.425

7.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

8.  Management of hepatocellular carcinoma: an update.

Authors:  Jordi Bruix; Morris Sherman
Journal:  Hepatology       Date:  2011-03       Impact factor: 17.425

9.  Exome sequencing of hepatocellular carcinomas identifies new mutational signatures and potential therapeutic targets.

Authors:  Kornelius Schulze; Sandrine Imbeaud; Eric Letouzé; Ludmil B Alexandrov; Julien Calderaro; Sandra Rebouissou; Gabrielle Couchy; Clément Meiller; Jayendra Shinde; Frederic Soysouvanh; Anna-Line Calatayud; Roser Pinyol; Laura Pelletier; Charles Balabaud; Alexis Laurent; Jean-Frederic Blanc; Vincenzo Mazzaferro; Fabien Calvo; Augusto Villanueva; Jean-Charles Nault; Paulette Bioulac-Sage; Michael R Stratton; Josep M Llovet; Jessica Zucman-Rossi
Journal:  Nat Genet       Date:  2015-03-30       Impact factor: 38.330

10.  Regulation of Acetate Utilization by Monocarboxylate Transporter 1 (MCT1) in Hepatocellular Carcinoma (HCC).

Authors:  Jeong Yong Jeon; Misu Lee; Sang Hyun Whang; Jung-Whan Kim; Arthur Cho; Mijin Yun
Journal:  Oncol Res       Date:  2017-03-23       Impact factor: 5.574

View more
  9 in total

1.  Glycolysis-Related Gene Signature Can Predict Survival and Immune Status of Hepatocellular Carcinoma.

Authors:  Qian Xu; Dan Miao; Xian Song; Zhuoyan Chen; Liuwei Zeng; Luying Zhao; Jun Xu; Zhuo Lin; Fujun Yu
Journal:  Ann Surg Oncol       Date:  2022-03-09       Impact factor: 5.344

2.  Simultaneous Inhibition of Ornithine Decarboxylase 1 and Pyruvate Kinase M2 Exerts Synergistic Effects Against Hepatocellular Carcinoma Cells.

Authors:  Zhirui Zeng; Jinzhi Lan; Shan Lei; Yushi Yang; Zhiwei He; Yan Xue; Tengxiang Chen
Journal:  Onco Targets Ther       Date:  2020-11-17       Impact factor: 4.147

Review 3.  Emerging roles and the regulation of aerobic glycolysis in hepatocellular carcinoma.

Authors:  Jiao Feng; Jingjing Li; Liwei Wu; Qiang Yu; Jie Ji; Jianye Wu; Weiqi Dai; Chuanyong Guo
Journal:  J Exp Clin Cancer Res       Date:  2020-07-06

4.  Discovery of Novel Inhibitors Targeting Multi-UDP-hexose Pyrophosphorylases as Anticancer Agents.

Authors:  Yueqin Yang; Hariprasad Vankayalapati; Manshu Tang; Yingbo Zheng; Yingri Li; Cong Ma; Kent Lai
Journal:  Molecules       Date:  2020-02-03       Impact factor: 4.411

5.  The critical role of glucose deprivation in epithelial-mesenchymal transition in hepatocellular carcinoma under hypoxia.

Authors:  Hanhee Jo; Jongsook Lee; Jeongyong Jeon; Seon Yoo Kim; Jee-In Chung; Hae Yong Ko; Misu Lee; Mijin Yun
Journal:  Sci Rep       Date:  2020-01-30       Impact factor: 4.379

6.  CircRNA has_circ_0001806 promotes hepatocellular carcinoma progression via the miR-193a-5p/MMP16 pathway.

Authors:  Hongmu Zhou; Ying Chen
Journal:  Braz J Med Biol Res       Date:  2021-10-29       Impact factor: 2.590

Review 7.  Metabolic dysregulation and emerging therapeutical targets for hepatocellular carcinoma.

Authors:  Danyu Du; Chan Liu; Mengyao Qin; Xiao Zhang; Tao Xi; Shengtao Yuan; Haiping Hao; Jing Xiong
Journal:  Acta Pharm Sin B       Date:  2021-09-25       Impact factor: 11.413

Review 8.  PP2A and tumor radiotherapy.

Authors:  Xiao Lei; Na Ma; Lehui Du; Yanjie Liang; Pei Zhang; Yanan Han; Baolin Qu
Journal:  Hereditas       Date:  2020-08-26       Impact factor: 3.271

9.  Prognostic Value of Macrophage-Associated Long Non-Coding RNA Expression for Hepatocellular Carcinoma.

Authors:  Guan-Yu Chen; Duo Wang
Journal:  Cancer Manag Res       Date:  2022-01-14       Impact factor: 3.989

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.