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Down-regulation of metabolic proteins in hepatocellular carcinoma with portal vein thrombosis

Clinical Proteomics volume 14, Article number: 29 (2017) Cite this article

Abstract

Background

Hepatocellular carcinoma is an aggressive malignancy with poor prognosis and easy to recur even the tumor is totally removed by surgery. Portal vascular invasion is one of the major factors contributing to tumor recurrence and poor prognosis. However, why hepatocellular carcinoma is easy to grow into vessels is unclear.

Methods

Surgical specimens from seven hepatocellular carcinoma patients with portal vein thrombosis and seven patients without vascular invasion were utilized to analyze protein expression by proteomic technique. The proteins in the tumors were separated by 2-dimensional electrophoresis. Protein patterns in the gels were recorded as digitalized images. The differences of expression in hepatocellular carcinoma with or without portal vein thrombosis were identified by mass spectrometry.

Results

Clinically, the tumors with portal vein thrombosis were larger than those without portal vein thrombosis. The median survival time for the patients with portal vein thrombosis was much shorter [4 (ranged 2.5–47) vs. 53 (ranged 33–85) months, p = 0.002]. By analyzing the protein expression in cancer tissues with or without portal vein thrombosis, the differences of protein expression were mainly metabolic enzymes. Carbonic anhydrase I, betaine–homocysteine S-methyltransferase 1, fumarate hydratase, isovaleryl-CoA dehydrogenase, short-chain specific acyl-CoA dehydrogenase and arginase-1 were all down-regulated in the tumors with portal vein thrombosis.

Conclusion

Metabolic enzymes and cytosol carbonic anhydrases were downregulated in hepatocellular carcinoma with portal vein thrombus. The deficiency of metabolic enzymes and cytosol carbonic anhydrases may alter cellular metabolisms and acid–base balance in hepatocellular carcinoma, which may facilitate to invade portal vein.

Background

Hepatocellular carcinoma (HCC), the major primary liver cancer, is the sixth most common malignancy in the world [1]. This malignancy is aggressive and the prognosis is poor if the tumors are found at a late stage [2, 3]. Even if the tumors are found at an earlier stage and removed totally by liver resection or liver transplantation, the treatment results are still not satisfactory because the tumors are easy to recur [4, 5]. In liver resection, tumor recurrent rate is as high as 65% within 3 years [4]. In liver transplantation, the tumors may recur in a small proportion of patients even if the tumors are within Milan criteria [6, 7]. If liver transplantation is performed for an advanced HCC, tumor recurrence is a predestination although native liver was removed and a new liver was implanted [8]. Undoubtedly, tumor recurrence remains a critical and unsolved issue which interferes with a successful treatment for HCC no matter liver resection or liver transplantation is performed.

Many prognostic factors are related to tumor recurrence after liver resection or liver transplantation [9, 10]. By biostatistics analysis, vascular invasion is always one of the most important risk factors of tumor recurrence either in liver resection or liver transplantation [4, 11, 12]. Why HCC facilitates to grow into portal venules is still a mystery. The only thing known is that the incidence of vascular invasion for HCC increases when the tumor size becomes large [13]. The Liver Cancer Study Group of Japan reported that the incidence of portal vein thrombosis (PVT) was 62% in autopsy [14]. Portal vein thrombosis is an extreme form of vascular invasion for HCC. Once upon PVT is noted, intrahepatic metastasis and distal metastasis are intended to occur. Portal vein thrombosis has been described as one of the three independent factors to predict shorter survival for untreated HCC [15]. In another study, PVT was also mentioned as one of the most robust predictors to predict death [16]. The life span for the patients having PVT in 1st or 2nd branches of portal veins is only 4–6 months. If PVT approaches to main portal vein, all treatments are not effective and the life span is reduced to 2–3 months only [17]. Thus, it is essential to understand why HCC invades vessels.

Compared to other malignancies, PVT is a special characteristic of HCC. It also provides an opportunity to understand why HCC invades and grows into blood vessels. In this study, surgical specimens of HCC with PVT or without microvascular invasion were collected. Proteomic technique was applied to investigate the different expression of proteins in HCC with PVT and HCC without vascular invasion.

Methods

Surgical specimen

The surgical specimens of HCC with macroscopic portal vein thrombosis were utilized to undergo this study. Surgical specimens from seven HCC patients with PVT were obtained from tumor tissue bank at Chang-Gung Memorial Hospital. For comparison of HCC with or without vascular invasion, another 7 surgical specimens from HCC patients without microvascular invasion were obtained, too. The utilization of surgical specimens for this study was approved by Ethic Committee of Chang-Gung Memorial Hospital.

Tissue sample preparation

Tissue samples were prepared as described by Li et al. [18]. In brief, frozen tissue samples (200 mg) were washed with cooled PBS for 3 times and homogenized in a cooled mortar and pestle. The obtained cells were dissolved in lysis buffer (containing 8 M urea, 4% CHAPS, 65 mM DTT) and sonicated on ice for ten rounds of 10 s. The lysate, then, was centrifuged for 1 h at 12,000 rpm to remove unsolved cell debris.

2-Dimensional gel electrophoresis (2-DE) [19]

Isoelectric focusing (IEF) was performed using commercially available, dedicated apparatuses: Protean IEF Cell (BioRad, Hercules, CA). Immobilized pH gradient (IPG) strips were used in accordance with the manufacturer’s instructions. Samples containing 450 µg for SYPRO Ruby staining was diluted to 300–350 mL with rehydration solution (7 Murea, 2 M thiourea, 4% CHAPS, 65 mM DTT, 0.2% v/v pH 3–10 pharmalyte, trace Bromophenol blue), and applied to strips by 12 h rehydration at 50 V. Proteins was focused subsequently for 30 min at 200 V, 30 min at 500 V, 30 min at 1000 V, 30 min at 5000 V, and finally 6 h at 10,000 V to give a total of 70 kVh. All IEF was carried out at 20 °C. After the first-dimensional IEF, IPG strips were placed in an equilibration solution (6 M urea, 2% SDS, 30% glycerol, 50 mM Tris–HCl, pH 8.8) containing 1% DTT and were shaken for 10 min at 50 rpm on an orbital shaker. The strips were then transferred to the equilibration solution containing 2.5% iodoacetamide and shaken for another 10 min before being placed on a 12.5% polyacrylamide gel slab. Separation in the second dimension was carried out using Protean II electrophoresis equipment and Tris–glycine buffer (25 mM Tris, 192 mM glycine) containing 0.1% SDS, at a current setting of 5 mA/gel for the initial 1 h and 10 mA/gel thereafter. The second dimensional SDS-PAGE was developed until the bromophenol blue dye marker had reached the bottom of the gel.

Protein visualization and image analysis

The gels were initially fixed for 30 min in a buffer containing 10% methanol and 7% acetic acid. Then, the gels were stained for 3 h in a commercially available SYPRO Ruby buffer (Molecular Probes, Eugene, OR) followed by washing in the fixation buffer. Protein patterns in the gels were recorded as digitalized images using a high-resolution scanner (GS-710 Calibrated Imaging Densitometer, BioRad, Hercules CA). The SYPRO Ruby-stained gels were used for image analysis using the Progenesis software package (Progenesis Discovery, Nonlinear Dynamics, Durham, NC).

Protein identification by MS

Protein spots with column volume >20% and p < 0.001 (ANOVA) were selected for protein identification. Protein spots were excised manually from the SYPRO Ruby-stained 2-D gels. The excised spots were de-stained using 50 mM NH4HCO3 in 50% ACN and dried in a SpeedVac concentrator. Protein was then digested by incubation overnight at 37 °C with 5 ng/mL trypsin (Promega, Madison, WI) in 50 mM NH4HCO3, pH 7.8. Tryptic peptides were extracted from the gel pieces in one volume 0.1% TFA while vortexing for 5 min followed by sonication for 5 min. Crude digest mixtures were concentrated and desalted using C18 ziptips (Millipore) followed by being eluted in 1.5 mL matrix (5 mg CHCA/mL in 50% ACN/0.1% TFA) for MALDI-TOF MS and MS/MS analysis (Ultra-flex II, Bruker Daltonics). Protein ID was searched against the NCBI and Swiss-Prot database, using MASCOT software from matrix science (www.matrixscience.com).

Western blot

Proteins from the 14 paired tumor and non-tumor tissues were separated on 12% polyacrylamide gels and transferred to polyvinylidene difluoride membranes (Amersham Biosciences, Uppsala Sweden). These blots were incubated for 1 h at room temperature in Tris-buffered-saline with Tween (20 mM Tris–Cl, 140 mM NaCl, pH 7.5, 0.05% Tween 20) containing 5% skim milk. Primary antibodies used were anti-betaine–homocysteine S-methyltransferase 1 (BHMT), carbonic anhydrase I (CA I), and fumarate hydratase (FH) monoclonal antibody (diluted 1:1000, Abcam, Cambridge MA). Blots were incubated with primary antibodies overnight at 4 °C. After washing three times in Tris-buffered-saline with Tween, blots were incubated with horseradish peroxidase-conjugated secondary antibody (diluted 1:2000, Santa Cruz Biotechnology) for 1 h at room temperature. Immunoreactive complexes were visualized using enhanced chemiluminescence (ECL) reagents (Millipore, Billerica, MA).

Immunohistochemical stain

The antibodies used for immunohistochemistry were the same as those used for Western blotting analysis. Six-micron-thick sections were deparaffinized in xylene and then rehydrated through graded alcohols to distilled water. The primary antibodies against BHMT, CAI and FH were used at dilutions of 1:100. The antibody complex was detected using an UltraVision Quanto Detection System HRP DAB Kit (Thremo scientific, Waltham MA). Slides were counterstained with hematoxylin for 20 s, dehydrated in 100% ethanol and xylene, and then covered with slips mounted with DPX mountant (BDH). The primary antibody was replaced with PBS as a negative control.

Statistical analysis

The comparisons of categorical variables were determined by χ2 or Fisher’s Exact Tests if the test number was less than five. The significance of the differences between the two groups was determined by Mann–Whitney U test (SigmaStat 3.0 software, Statistical Solutions Limited, Cork, Ireland). A p value below 0.05 for clinical presentation and protein expression were considered to be significantly different because the patient number was limited.

Results

Characteristics of patients

In this study, surgical specimens were taken from two groups of patients with different pathological presentation: HCC with PVT and HCC without vascular invasion. The clinical profiles and characteristics of tumors were collected and compared. The results showed that the patients with PVT were younger than the patients without vascular invasion. In their tumor characteristics, the analytic results showed that the tumors with PVT were larger than those without PVT and had a higher trend of non-encapsulation. The other characteristics including presence of daughter nodules, differentiation grading and production of alpha-fetoprotein were not different between the two groups. The survival time between the two groups of patients was markedly different. The median survival time for the patients with PVT was only 4 months although the tumors were removed completely. On the other hand, the median survival time for the patients without vascular invasion was 53 months until now. Up to date, five of seven patients were still alive without tumor recurrence (Table 1).

Table 1 The clinical profiles and tumor characteristics of 7 HCC patients with PVT and another 7 patients without PVT
Full size table

2-DE analysis and protein identification

To find the different expression of proteins in HCC with or without PVT, proteins were extracted from 14 paired HCC tumor and adjacent noncancerous tissues to perform 2-DE separation and SYPRO Ruby staining. Representative results are shown in Fig. 1. The 14 paired specimens were analyzed on IPG strips of pH 3–10, 18 cm NL band, followed by 12.5% SDS-PAGE. The gels were scanned and images were analyzed by proxpress 2D (perkinelmer) and progenesis workstation version 2005 (nonlinear dynamics) software. The common differentially expressed protein spots were identified by MALDI-TOF-MS on the basis of peptide mass matching ( Fig. 2). In total, 45 proteins with different expression between HCC tissues with PVT or without PVT were identified. Among them, nine distinct proteins were significantly down-regulated and one was significantly up-regulated in the cancer tissues of HCC with PVT compared to adjacent non-cancerous tissues. The protein names were listed in Table 2. Among the ten proteins, the expression of fumarate hydratase (FH), carbonic anhydrase I (CA I) and dihydropteridine reductase were only down-regulated in the cancer tissues of HCC with PVT, but not down-regulated in the cancer tissues of HCC without PVT. Betaine–homocysteine S-methyltransferase 1 (BHMT), isovaleryl-CoA dehydrogenase (IVD), short-chain specific acyl-CoA dehydrogenase (CRAT) and arginase-1 were all down-regulated in cancer tissues of HCC without PVT and further deceased in the cancer tissues of HCC with PVT. Peroxiredoxin-4 and Endoplasmic reticulum protein ERp29 were both down-regulated in cancer tissues of HCC without PVT, but there is no difference between the cancer tissues of HCC with or without PVT. The expression of dihydropteridine reductase was not different in the cancer tissues of HCC with or without PVT, either (Table 2).

Fig. 1
figure 1

A representative of 2-D electrophoresis for HCC with or without portal vein thrombosis. N non-cancerous tissue from HCC without portal vein thrombosis, T cancer tissue from HCC without portal vein thrombosis, N-PVT non-cancerous tissue from HCC with portal vein thrombosis, T-PVT cancer tissue from HCC with portal vein thrombosis

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Fig. 2
figure 2

A representative of protein identification and comparison of protein expression. The 2-D electrophoresis in a line were obtained form cancer tissues in HCC without portal vein thrombosis and in b line were obtained from cancer tissues in HCC with portal vein thrombosis. The differentially expressed protein spots were identified by peptide mass matching. The protein was identified as fumarate hydratase by MALDI-TOF-MS. The gels were recorded as digitalized images and the difference of expression was calculated and compared

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Table 2 The difference of protein expression in cancer and non-cancerous tissues for HCC with or without portal vein thrombosis
Full size table

Western blotting

Some of differentially expressed proteins in 2-DE experiments were subjected to Western blotting analyses to confirm the differential expression. Western blotting of carbonic anhydrase I (CA I), fumarate hydratase (FH), and betaine–homocysteine S-methyltransferase 1 (BHMT) were performed and definitely showed they were down-regulated in the cancer tissues of HCC with PVT, compared to HCC without PVT (Fig. 3). This result was consistent with the observation in 2-DE analysis of tissue samples, showing the uniform change from non-cancerous tissue to tumor with or without PVT.

Fig. 3
figure 3

Western blots of a fumarate hydratase, b carbonic anhydrase I and c betaine–homocysteine S-methyltransferase 1. The expression of fumarate hydratase, carbonic anhydrase I, and betaine–homocysteine S-methyltransferase 1 in cancer tissues of HCC with portal vein thrombosis were down-regulated, compared to cancer tissues of HCC without portal vein thrombosis and non-cancerous tissues. This picture including 2 patients was as a representative. N non-cancerous tissue from HCC without portal vein thrombosis, T cancer tissue from HCC without portal vein thrombosis, N-PVT non-cancerous tissue from HCC with portal vein thrombosis, T-PVT cancer tissue from HCC with portal vein thrombosis

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Immunohistochemistry

To further verify the down expression of CA I and FH and distribution of CA I and FH in HCC with or without PVT, immunohistochemistry was performed to confirm the morphology of CA1 and FH expression in cancer or non-cancerous tissues. The pictures showed that normal hepatocytes expressed CA I (Fig. 4) and FH (Fig. 5) well. The expression of CA I and FH were down-regulated in HCC with PVT.

Fig. 4
figure 4

The immunohistochemical staining for carbonic anhydrase I. a The expression of carbonic anhydrase I in tumor (T) portion was less than non-cancer normal liver parenchyma (N) in the HCC without portal vein thrombosis. b The expression of carbonic anhydrase I in tumor (T) portion was less than non-cancer normal liver parenchyma (N) in the HCC with portal vein thrombosis

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Fig. 5
figure 5

The immunohistochemistric staining for fumarate hydratase. In HCC without portal vein thrombosis, normal hepatocytes (A, ×100) and cancer cells (B ×100) both expressed fumarate hydratase. In HCC with portal vein thrombosis, normal hepatocytes (C, ×100) expressed fumarate hydratase. However, the cancer cells (D, ×200) in the veinous thrombosis expressed very low level of fumarate hydratase

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Discussion

Portal vein thrombosis is a critical condition in the management of HCC because effective treatments are lack and the prognosis is extreme poor although sorafenib was applied to treat HCC with PVT [20]. Portal vein thrombosis was proved as an independent factor to predict short survival and even death [16]. Park et al. [17] described that the median survival time was only 2.8 months for the patients with PVT in main trunk, compared to 28.7 months for the patients without PVT. Furthermore, HCC facilitates to grow into vessels. The incidence of vascular invasion is increased when the tumor grows to a large size [13]. The most serious concern for HCC with PVT is no effective treatments: (1) liver transplantation is contraindicated; (2) liver resection can only be applied to limited number of patients with tumor limited in either lobe of the liver; and (3) non-surgical treatments including hepatic artery infusion of chemo-agents (HAIC), transarterial chemembolization, transarterial radioembolization with yttrium-90, or combination of HAIC and radiotherapy extended survival only for a few months [21,22,23,24]. Therefore, to understand the possible reasons/mechanisms of HCC invading vessels is essential for effective treatment of HCC.

Protein expression reflects and contributes the function of cells. In this study, the aims focused on why HCC invaded portal vein and form thrombosis. Roughly, 45 proteins with different expression on HCC with PVT or HCC without microvascular invasion were identified. But, when we focused on the protein expression with fold-difference to adjacent noncancerous tissue or cancer tissue without PVT forming, FH, CA I, BHMT, IVD, CRAT, and arginase-1 were the six proteins which expressed deficiently in cancer cells with PVT. All these proteins belonged to the enzymes of cellular metabolism and acid–base balance. Obviously, the microenvironment in tumors with PVT was altered. The cellular metabolisms of the cancer cells in HCC with PVT were altered, too.

According to results, FH and CA I were the two proteins that decreased in cancer tissues with PVT, but not in the cancer tissues without PVT. Fumarate hydratase is an important enzyme working in Kreb’s tricarboxylic acid cycle. Fumarate hydratase catalyses the hydration of fumarate to form malate. Deficiency of FH would result in accumulation of fumarate in mitochondria, leak into cytosol and inhibit prolyl hydroxylase which suppresses the expression of hypoxia-inducible factor-1 (HIF-1) [25,26,27]. In this study, the FH expression in cancer cells with PVT was more than 2-fold decreased. Decreased FH would impair oxidative phosphorylation in cancer cells and force these cancer cells to depend on glycolysis for energy production under aerobic condition. This pseudohypoxia response will further induce hypoxia-inducible transcription factor [28]. Ashrafian et al. [29] isolated primary mouse embryonic fibroblasts from FH 1-deficiency mice and confirmed that these fibroblasts would depend on glycolysis for energy production, elevated rate of lactate efflux and up-regulate HIF-1 and HIF target genes. Recent study also showed that accumulation of metabolites of Kreb’s tricarboxylic acid cycle in tumor cells caused epithelial-to-mesenchymal transition and renal cancer cells became aggressive when oncometabolite fumarate accumulated due to FH deficiency [30]. The down-regulation of FH might let HCC cells become aggressive and easy to grow into vessels [27, 31].

Carbonic anhydrases is a family of zinc metalloenzymes that catalyze the interconversion between carbon dioxide and bicarbonate ion to acid–base balance in cellular environment [32]. Up- or down-regulation of carbonic anhydrases in cancer cells or other stromal cells will change the acid-based balance in the microenvironment of tumors. Carbonic anhydrase I located in cytosol catalyzes the interconversion between bicarbonate ion and carbon dioxide to facilitate carbon dioxide diffusing cross cell membrane. During anaerobic metabolism, hydrogen ion produced within the cells needs cytosolic CA to catalyze the conversion reaction from hydrogen ion and bicarbonate toward carbon dioxide [32]. Decreased expression of CA I would result in cellular acidic PH which promote tumor motility and contribute to tumor growth and metastasis [33]. It has been reported that reduced expression of CA I and II in poor differentiated HCC [34]. In this study, CA I expression in the tumor with PVT was much lower than in the tumor without PVT. This result might explain that tumors with PVT became oxygentactic and aggressive to invade vessels.

In this study, we also found that BHMT, IVD, CRAT and arginase-1 were all down-regulated in cancer tissues of HCC without PVT and further deceased in the cancer tissues of HCC with PVT. BHMT is a cytosolic enzyme that catalyses the conversion of homocysteine to methionine. Teng et al. showed BHMT was important in one-carbon metabolism and lack of BHMT resulted in fatty liver and HCC in an animal model [35]. Yan et all also showed that deficiency of BHMT leads to accumulation of homocysteine which impairs endothelial function by compromising VEGF/Akt endothelial nitric oxide synthetase signaling and vascular complications [36]. Isovaryl-CoA dehydrogenase is a mitochondrial matrix enzyme that catalyzes the third step in leucine metabolism. Clinically, reduced activity of IVD is a recessive autosomal disorder and cause isovaleric acidosis [37]. Clinical symptom is presented as severe metabolic acidosis. Deficiency of IVD in HCC cells might cause accelerate acidosis in the microenvironment of tumor which might exaggerate cancer to invade vessels and resistant to chemotherapy or radiotherapy. In this study, CRAT was also down-regulated in the cancer cells with PVT. Clinically, deficiency of CRAT is an autosomal recessive inborn error of mitochondrial fatty acid oxidation [38]. Hypoglycemia is one of the clinical presentations. Imaginably, decreased level of glucose in the tumor microenvironment might force cancer cells to invade vessel to get energy source.

The dysregulation of metastatic enzymes in HCC with PVT found in this study were very similar to those in renal cell carcinoma (RCC). Renal cell carcinoma is one of the most easy-to-recur tumors in United States. Clinically, RCC also has the facilitation to grow into vessels and form a tumor thrombus in renal veins or inferior vena cava. Dorai et al. [39] reviewed the molecular evidence in different types of RCC and described a common pathway of deficiency of FH and dysregulation of CAs. Pseudohypoxia with glycolytic metabolism combined with microenvironment acidosis might induce hypoxia-inducing factor and vascular endothelial growth factor. Molecular targeting therapy with sunitinib or sorafenib has been proved to be effective to treat metastatic RCC clinically [40, 41]. Sorafanib is also used to treat advanced HCC already [42, 43]. Based on molecular finding in this study, molecular targeting therapy may be effective to treat HCC with vascular invasion by blocking the downstream pathway of metabolic enzyme dysregulation.

Conclusion

HCC with PVT is an aggressive cancer with extremely poor prognosis. Compared to the protein expression in HCC without PVT, HCC with PVT showed decreased expression of several metabolic enzymes and carbonic anhydrases: FH, CA I, BHMT, IVD, CRAT, and arginase-1. This deficiency of metabolic enzymes and cytosol CA may facilitate HCC to invade portal vein for nutrient and oxygen supply and form a thrombus. Targeting these metabolic enzymes and cytosol CA may help the treatments for HCC with PVT.

Abbreviations

HCC:

hepatocellular carcinoma

PVT:

portal vein thrombosis

CA I:

carbonic anhydrase

FH:

fumarate hydratase

BHMT:

betaine–homocysteine S-methyltransferase 1

IVD:

isovaleryl-CoA dehydrogenase

CRAT:

short-chain specific acyl-CoA dehydrogenase

References

  1. Forner A, Llovet JM, Bruix J. Hepatocellular carcinoma. Lancet. 2012;379:1245–55.

    Article  PubMed  Google Scholar 

  2. Minagawa M, Ikai I, Matsuyama Y, Yamaoka Y, Makuuchi M. Staging of hepatocellular carcinoma: assessment of the Japanese TNM and AJCC/UICC TNM systems in a cohort of 13,772 patients in Japan. Ann Surg. 2007;245:909–22.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Chun YH, Kim SU, Park JY, Kim DY, Han KH, Chon CY, et al. Prognostic value of the 7th edition of the AJCC staging system as a clinical staging system in patients with hepatocellular carcinoma. Eur J Cancer. 2011;47:2568–75.

    Article  PubMed  Google Scholar 

  4. Lee W-C, Jeng L-B, Chen M-F. Estimation for prognosis after hepatectomy for hepatocellular carcinoma. Br J Surg. 2002;89:311–6.

    Article  PubMed  Google Scholar 

  5. Imamura H, Matsuyama Y, Tanaka E, Ohkubo T, Hasegawa K, Miyagawa S, et al. Risk factors contributing to early and late phase intrahepatic recurrence of hepatocellular carcinoma after hepatectomy. J Hepatol. 2003;38:200–7.

    Article  PubMed  Google Scholar 

  6. Mazzferro V, Regalia E, Doci R, Andreola S, Morabito A, Bozzetti F, et al. Liver transplantation for the treatment of small hepatocellular carcinoma in patients with cirrhosis. N Engl J Med. 1996;334:693–9.

    Article  Google Scholar 

  7. Zimmerman MA, Ghobrial M, Tong MJ, Hiatte R, Cameron AM, Hong J, et al. Recurrence of hepatocellular carcinoma following liver transplantation. A review of of preoperative and postoperative prognostic indicators. Arch Surg. 2008;143:182–8.

    Article  PubMed  Google Scholar 

  8. Iwatsuki S, Gordon R, Shaw B, Starzl T. Role of liver transplantation in cancer therapy. Ann Surg. 1985;202:401–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Shrager BJ, Jibara G, Schwartz M, Roayaie S. Resection of hepatocellular carcinoma without cirrhosis. Ann Surg. 2012;255:1135–43.

    Article  PubMed  Google Scholar 

  10. Lee WC, Lee CF, Cheng CH, Wu TJ, Chou HS, Wu TH, et al. Outcomes of liver resection for hepatocellular carcinoma in liver transplantation era. Eur J Surg Oncol. 2015;41:1144–52.

    Article  PubMed  Google Scholar 

  11. Poon R, Fan S, Lo C, Liu C, Wong J. Long-term survival and pattern of recurrence after resection of small hepatocellular carcinoma in patients with preserved liver function: implications for a strategy of salvage liver transplantation. Ann Surg. 2002;235:373–82.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Rodriguez-Peralvarez M, Luong TV, Andreana L, Meyer T, Dhillon AP, Burroughs AK. A systematic review of microvascular invasion in hepatocellular carcinoma: diagnostic and prognostic variability. Ann Surg Oncol. 2013;20:325–39.

    Article  PubMed  Google Scholar 

  13. Pawlik TM, Delman KA, Vauthey JN, Nagorney DM, Ng IO, Ikai I, et al. Tumor size predicts vascular invasion and histologic grade: implications for selection of surgical treatment for hepatocellular carcinoma. Liver Transpl. 2005;11:1086–92.

    Article  PubMed  Google Scholar 

  14. Liver Cancer Study Group of Japan. Primary liver cancer in Japan: clinicopathologic features and results of surgical treatment. Ann Surg. 1990;211:277–87.

    Google Scholar 

  15. Cabibbo G, Enea M, Attanasio M, Bruix J, Craxi A, Camma C. A meta-analysis of survival rates of untreated patients in randomized clinical trials of hepatocellular carcinoma. Hepatology. 2010;51:1274–83.

    Article  PubMed  Google Scholar 

  16. Tandon P, Garcia-Tsao G. Prognostic indicators in hepatocellular carcinoma: a systematic review of 72 studies. Liver Int. 2009;29:502–10.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Park KW, Park J-W, Choi JI, Kim TH, Kim SH, Park HS, et al. Survival analysis of 904 patients with hepatocellular carcinoma in a hepatitis B virus-endemic area. J Gastroenterol Hepatol. 2008;23:467–73.

    Article  PubMed  Google Scholar 

  18. Li C, Tan Y, Zhou H, Ding S, Li S, Ma D, et al. Proteomic analysis of hepatitis B virus-associated Hepatocellular carcinoma: identification of potential tumor markers. Proteomics. 2005;5:1125–39.

    Article  PubMed  Google Scholar 

  19. Hsieh SY, Zhuang FH, Wu YT, Chen JK, Lee YL. Profiling the proteome dynamics during the cell cycle of human hepatoma cells. Proteomics. 2008;8:2872–84.

    Article  CAS  PubMed  Google Scholar 

  20. Woo HY, Heo J. New perspectives on the management of hepatocellular carcinoma with portal vein thrombosis. Clin Mol Hepatol. 2015;21:115–21.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Han K-H, Seong J, Kim JK, Ahn SH, Lee DY, Chon CY. Pilot clinical trial of localized concurrent chemoradiation therapy for locally advanced hepatocellular carcinoma with portal vein thrombosis. Cancer. 2008;113:995–1003.

    Article  CAS  PubMed  Google Scholar 

  22. Jang JW, Bae SH, Choi JY, Oh HJ, Kim MS, Lee SY, et al. A combination therapy with transarterial chemo-lipiodolization and systemic chemo-infusion for large extensive hepatocellular carcinoma invading portal vein in comparison with conservative management. Cancer Chemother Pharmacol. 2006;59:9–15.

    Article  PubMed  Google Scholar 

  23. Cho YY, Lee M, Kim HC, Chung JW, Kim YH, Gwak GY, et al. Radioembolization is a safe and effective treatment for hepatocellular carcinoma with portal vein thrombosis: a propensity score analysis. PLoS ONE. 2016;11:e0154986.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Lin CC, Hung CF, Chen WT, Lin SM. Hepatic arterial infusion chemotherapy for advanced hepatocellular carcinoma with portal vein thrombosis: impact of early response to 4 weeks of treatment. Liver Cancer. 2015;4:228–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Thompson CB. Metabolic enzymes as oncogenes or tumor suppressors. N Engl J Med. 2009;360:813–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Yogev O, Yogev O, Singer E, Shaulian E, Goldberg M, Fox TD, et al. Fumarase: a mitochondrial metabolic enzyme and a cytosolic/nuclear component of the DNA damage response. PLoS Biol. 2010;8:e1000328.

    Article  PubMed  PubMed Central  Google Scholar 

  27. King A, Selak M, Gottlieb E. Succinate dehydrogenase and fumarate hydratase: linking mitochondrial dysfunction and cancer. Oncogene. 2006;25:4675–82.

    Article  CAS  PubMed  Google Scholar 

  28. Bratslavsky G, Sudarshan S, Neckers L, Linehan L. Pseudohypoxic pathways in renal cell carcinoma. Clin Cancer Res. 2007;13:4667–71.

    Article  CAS  PubMed  Google Scholar 

  29. Ashrafian H, O’Flaherty L, Adam J, Steeples V, Chung Y-L, East P, et al. Expression profiling in progressive stages of fumarate-hydratase deficiency: the contribution of metabolic changes to tumorigenesis. Can Res. 2010;70:9153–65.

    Article  CAS  Google Scholar 

  30. Fuhler GM, Eppinga H, Peppelenbosch MP. Fumarates and cancer. Trends Mol Med. 2017;23:3–5.

    Article  CAS  PubMed  Google Scholar 

  31. Costa B, Dettori D, Lorenzato A, Bardella C, Coltella N, Martino C, et al. Fumarase tumor suppressor gene and MET oncogene cooperate in upholding transformation and tumorigenesis. FASEB J. 2010;24:2680–8.

    Article  CAS  PubMed  Google Scholar 

  32. Potter CPS, Harris AL. Diagnostic, prognostic and therapeutic implications of carbonic anhydrases in cancer. Br J Cancer. 2003;89:2–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Chiang W-L, Chu S-C, Yang S-S, Li M-C, Lai J-C, Yang S-F, et al. The aberrant expression of cytosolic carbonic anhydrase and its clinical significance in human non-small cell lung cancer. Cancer Lett. 2002;188:199–205.

    Article  CAS  PubMed  Google Scholar 

  34. Kuo W, Chiang W, Yang S, Yeh K, Yeh C, Hsieh Y, et al. The differential expression of cytosolic carbonic anhydrase in human hepatocellular carcinoma. Life Sci. 2003;73:2211–23.

    Article  CAS  PubMed  Google Scholar 

  35. Teng YW, Mehedint MG, Garrow TA, Zeisel SH. Deletion of betaine–homocysteine S-methyltransferase in mice perturbs choline and 1-carbon metabolism, resulting in fatty liver and hepatocellular carcinomas. J Biol Chem. 2011;286:36258–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Yan T-T, Li Q, Zhang X-H, Wu W-K, Sun J, Li L, et al. Homocysteine impaired endothelial function through compromised vascular endothelial growth factor/Akt/endothelial nitric oxide synthase signalling. Clin Exp Pharmacol Physiol. 2010;37:1071–7.

    Article  CAS  PubMed  Google Scholar 

  37. Lin W-D, Wang C-H, Lee C-C, Lai C-C, Tsai Y, Tsai F-J. Genetic mutation profile of isovaleric acidemia patients in Taiwan. Mol Genet Metab. 2007;90:134–9.

    Article  CAS  PubMed  Google Scholar 

  38. van Maldegem BT, Wanders RJA, Wijburg FA. Clinical aspects of short-chain acyl-CoA dehydrogenase deficiency. J Inherit Metab Dis. 2010;33:507–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Dorai T, Sawczuk I, Pastorek J, Wiernik PH, Dutcher JP. Role of carbonic anhydrases in the progression of renal cell carcinoma subtypes: proposal of a unified hypothesis. Cancer Invest. 2006;24:754–79.

    Article  CAS  PubMed  Google Scholar 

  40. Motzer R, Hutson T, Tomczak P, Michaelson D, Bukowski R, Rixe O, et al. Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Engl J Med. 2007;356:115–24.

    Article  CAS  PubMed  Google Scholar 

  41. Escudier B, Eisen T, Stadler W, Szczylik C, Qudard S, Siebels M, et al. Sorafenib in advanced clear-cell renal-cell carcinoma. N Eng J Med. 2007;356:125–34.

    Article  CAS  Google Scholar 

  42. Llovet J, Ricci S, Mazzaferro V, Hilagrd P, Gane E, Blanc J, et al. Sorafenib in advanced hepatocellular carcinoma. N Engl J Med. 2008;359:378–90.

    Article  CAS  PubMed  Google Scholar 

  43. Cheng A-L, Kang Y-K, Chen Z, Tsao C-J, Qin S, Kim J-S, et al. Efficiency and safety of sorafenib in patients in the Asia-Pacific region with advanced hepatocellular carcinoma: a phase III randomised, double-blind placebo-controlled trial. Lancet Oncol. 2009;10:25–34.

    Article  CAS  PubMed  Google Scholar 

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Authors’ contributions

W-CL, H-SC, T-JW, C-FL: participated in research design; W-CL: participated in the writing of the paper; P-YH, H-YH, T-JW: participated in the performance of the research; W-CL, T-HW, K-MC: participated in data analysis. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Ethical approval and consent to participate

This study was approved by Ethic Committee of Chang-Gung Memorial Hospital.

Funding

This study was supported by Chang-Gung research Grant CMRPG-381091.

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Authors and Affiliations

  1. Division of Liver and Transplantation Surgery, Department of General Surgery, Chang-Gung Memorial Hospital, Chang-Gung University College of Medicine, 5, Fu-Hsing Street, Kwei-Shan Township, Taoyuan, Taiwan

    Wei-Chen Lee, Hong-Shiue Chou, Ting-Jung Wu, Chen-Fang Lee, Pao-Yueh Hsu, Hsiu-Ying Hsu, Tsung-Han Wu & Kun-Ming Chan

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  1. Wei-Chen Lee
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Correspondence to Wei-Chen Lee.

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Lee, WC., Chou, HS., Wu, TJ. et al. Down-regulation of metabolic proteins in hepatocellular carcinoma with portal vein thrombosis. Clin Proteom 14, 29 (2017). https://doi.org/10.1186/s12014-017-9164-y

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Keywords

Clinical Proteomics

ISSN: 1559-0275