Introduction
Hepatocellular carcinoma (HCC) ranks among the most common cancers worldwide and is the third leading cause of cancer death, accounting for more than half a million deaths annually [
1]. Although prevalence remains highest in Eastern Asia and Africa, the incidence of HCC has steadily increased in the western world, as well as in Japan over the last decade [
2]. HCC represents the most relevant paradigm of virus and inflammation-associated cancers, suggesting that primary and secondary prevention of HCC is possible. Meanwhile, the majority (>80%) of HCC patients suffer complications such as chronic hepatitis or cirrhosis. Such complications influence disease progression and severely impair patient prognosis, therapeutic options, and the design of clinical trials [
3]. Despite its enormous clinical relevance, knowledge regarding the molecular pathogenesis of HCC lags behind other types of cancers, such as breast and colon cancer, where multiple systemic treatment options have evolved for previously untreatable metastatic tumors. Recently, this picture has begun to change for HCC, as improved options for clinical trials and novel therapeutics are emerging owing to the identification of critical molecular subclasses of HCC with different prognostic implications, and the discovery of key genetic or epigenetic drivers of specific subclasses that enable development of more personalized treatments.
Molecular classification and prognostication of HCC
The aim of cancer classification is to better predict patient prognosis, guide the selection of an appropriate treatment for the best candidates, and aid researchers in the design of clinical trials with comparable clinical criteria. In HCC, 15%-20% of early stage tumors present with a dismal outcome, leading to neoplastic dissemination and short-term survival. The identification of biomarkers that help detect subgroups of patients with a dismal prognosis, even for those in an early disease stage, will translate into better therapeutic strategies and allocation of resources. Currently, the prediction of patient prognosis in HCC relies exclusively on clinical parameters, and molecular data are not utilized to guide therapeutic decision-making. This represents a critical bottleneck for the improvement of patient outcome.
The first attempts to classify HCC were based on oncogene or tumor suppressor activity. The most common mutation in HCC is found in the tumor suppressor
TP53, observed in up to 50% of HCC cases [
4]. The second most common mutation of a specific gene is activation of the oncogene
β-catenin, found in 20%-40% of HCC [
5]. Other low or moderate frequency mutations have been described for various oncogenes such as
KRAS,
PIK3CA,
MET, and
CSF-1R and tumor suppressors including
CDKN2A,
AXIN1/2,
RB1,
PTEN,
IGF2R, and
SMAD2/4 [
6,
7]. Undoubtedly, the spectrum of mutations will be expanded by the use of new-generation high-throughput sequencing technology in the near future [
8]. Through exonic sequencing of ten hepatitis C virus (HCV)-associated HCCs and subsequent validation, novel inactivating mutations of the gene,
ARID2, were identified in four major subtypes of HCC (HCV-related, hepatitis B (HBV)-related, alcohol-related HCC and HCC with subtle etiology), suggesting that
ARID2 is a tumor suppressor that is commonly mutated in HCC, irrespective of disease etiology [
9].
Although gene mutations are clearly linked to HCC biologic behavior, they are inadequate for accurate classification of HCC. With the advent of high throughput genomic, transcriptomic and epigenetic techniques, it is now possible to inspect the whole genome for different functional aspects. (i) At the transcriptional level, several molecular subgroups of tumors have been identified, underlining the broad diversity of HCC in humans. These molecular subgroups were obtained using the expression patterns of genes involved in cell proliferation and cell cycling [
10] or other hallmark signaling of tumors [
11], and genes typically expressed in hepatic progenitor cells [
12]. Notably, expression patterns of genes involved in the tumor-stroma interaction were also utilized to predict patient prognosis, highlighting the importance of stromal biology [
13] in HCC tumor progression. (ii) MicroRNAs (miRNAs), small non-coding RNAs that regulate gene expression, could also act as oncogenes or tumor suppressors [
14]. A relationship between miRNA deregulation and the diagnosis and phenotype of HCC has been reported [
15,
16]. Importantly, a diagnostic miRNA panel has been derived using patient plasma and its future clinical use for early diagnosis of HCC can be envisioned [
16]. In addition, low expression of miR-26a [
17,
18], miR-122 [
19,
20] and miR-199a/b-3p [
21], as well as high expression of miR-221 [
22,
23] were found to be significantly associated with HCC recurrence. Despite observed differences in the clinical features of the tumors and patient risk factors, as well as variations in techniques and strategies used to normalize tumor profiling data, recurrent alterations in the expression of several miRNAs have been found in a number of studies. This suggests that HCCs may have a distinct miRNA expression fingerprint. (iii) Methylation changes may occur early in the process of hepatocarcinogenesis, and HBV, HCV, and alcohol-specific promoter methylation patterns have been described, suggesting that etiology-dependent methylation occurs in the early stages of hepatocarcinogenesis [
24]. The methylation index for 105 tumor suppressor genes was shown to have a significant inverse correlation with tumor recurrence after hepatectomy, as well as cancer-free and overall survival [
25]. Despite the achievement of great progress in the field, several challenges have limited the successful translation of such findings for clinical applications. These include the lack of consistency in study results, as well as the weak associations often found with clinical phenotype. Varying etiologies, inadequate sample sizes, and differences in microarray techniques utilized, as well as differences in mathematical methods and experimental models used, significantly contribute to the existing limitations and should be taken into account for future studies.
In HCC, two types of recurrence can arise from a distinct biologic background: true metastasis as dissemination of primary tumor cells (usually within 2 years after curative treatment) and
de novo metachronic tumors occurring in a diseased liver [
26]. The proportion of each type of recurrence varies greatly across tumor stages. Importantly, gene expression profiling of HCCs, a 19-miRNA signature and a methylation profile, all derived from the adjacent non-tumoral liver tissue instead of HCC tissue, were used to accurately identify patients with poor prognosis [
27-
29]. The observed accuracy was probably due to the ability to identify the risk of developing
de novo tumors, progression of liver dysfunction, and microenvironmental-favoring conditions for intrahepatic metastasis. Thus, these signatures can be used to identify the risk of progression of cirrhosis, and might be relevant guides for chemopreventive studies. Cirrhosis, a life-threatening condition, is present in more than 80% of patients with HCC, making prognosis prediction a major challenge. As such, any staging system for HCC based on molecular data should incorporate information related to tumor aggressiveness, hepatic dysfunction, and risk of
de novo HCC development [
30]. Hence, such a prognostic model should consider genetic, transcriptomic, and epigenetic data coded in the tumor itself, as well as adjacent non-tumoral cirrhotic tissue. From early to intermediate and advanced stages, genomic data derived from the tumor will be increasingly informative when compared with adjacent non-tumor, because, as cancer progresses, tumor dissemination will govern patient survival. The scientific challenge is to identify the genomic vector that determines patient prognosis at each stage of the disease. A further application of such data would be for the development of molecular markers used in a clinical setting. PCR-based techniques for detecting genes of interest appear to be more robust and potentially clinical usable, but are only feasible when large gene panels are refined to a limited number of genes.
Targeted molecular therapies in HCC
Less than 30% of newly diagnosed patients are eligible for curative therapies such as resection, liver transplantation, or local ablation. Furthermore, HCC is highly resistant to conventional systemic therapies and no level I studies have so far shown survival benefits of conventional chemotherapy in HCC patients. Targeted molecular therapies for the treatment of cancer including HCC are considered a promising approach, as demonstrated by the breakthrough results of the multi-kinase inhibitor, sorafenib. Sorafenib is the first compound found to significantly improve the survival of patients with advanced HCC, with a mean survival benefit of 3 months [
31]. This multi-kinase inhibitor is active against various receptor tyrosine and serine threonine kinases, including Raf-1, vascular endothelial growth factor receptor 2 (VEGFR2), B-Raf, platelet-derived growth factor (PDGFR) and c-Kit. In addition to sorafenib, many novel compounds are currently under preclinical and clinical evaluation for HCC (www.clinicaltrials.gov) (Table 1). Treatment agents are generally classified according to their main targets: angiogenic factors, growth factors and their receptors, and intracellular targets.
The overexpression of angiogenic factors such as VEGF, PDGF, fibroblast growth factor 2 (FGF-2), or angiopoietin are early and frequent events in hepatocarcinogenesis [
33]. Blocking angiogenesis through the targeting of microvascular endothelial cells or protein activators of angiogenesis is a well-accepted strategy for preventing HCC tumor progression. The humanized monoclonal antibody, Bevacizumab (anti-VEGF), is approved for the treatment of breast cancer and colorectal liver metastases. Bevacizumab showed modest anti-tumoral activity in a phase I/II trial of 33 selected HCC patients, as well as in a study that combined treatment with the chemotherapy agents, gemcitabine and oxaliplatin [
34]. FGF2 has been shown to augment VEGF-mediated HCC development and angiogenesis in a synergistic manner, and may play a role in “escape mechanisms” implicated in VEGF/VEGFR targeting [
35]. Interestingly, brivanib, a small molecule inhibiting FGF and VEGFR, is currently under investigation in phase III trials after showing promising results as a second line agent after failure of patients to respond to sorafenib treatment. In addition, TSU-68 is a small molecule inhibitor of the angiogenic receptor tyrosine kinases Flk-1/KDR, PDGFRβ, and FGFR1, currently in phase I/II clinical trials for HCC.
Peptide growth factors and their receptors such as epidermal growth factor receptor (EGFR), hepatocyte growth factor receptor (HGFR)/c-Met, and insulin-like growth factor receptor (IGFR) are also well-defined pathways of potential interest in HCC. Single-agent studies with EGFR-directed therapies in HCC have been disappointing: only erlotinib showed anti-tumoral activity in experimental models and clinical studies [
36], whereas clinical trials involving other drugs such as gefitinib, laptinib and vandetanib either reported no activity or required further studies [
37,
38]. Preclinical data suggest that only a more “epithelial” subtype of HCC, as defined by the expression of E-cadherin (versus the presence of vimentin and absence of E-cadherin in more “mesenchymal” subtypes), may be dependent on EGFR signaling [
39], suggesting a specific target population may need to be identified for EGFR agents to be clinically effective. The IGF signaling axis is frequently activated in HCC and several IGF-1R tyrosine kinase inhibitors have been tested preclinically for HCC. Meanwhile, BIIB022 and AVE 1642 are two novel drugs targeting IGF signaling, which are currently in phase I/II studies for use as monotherapies or in combination with sorafenib and erlotinib, respectively. The clinical efficacy of targeting HGFR/c-Met has yet to be determined, and several studies with receptor and ligand-specific antibodies, as well as tyrosine kinase inhibitors are ongoing or in development [
40].
Lastly, the biologic effects of receptor tyrosine kinase activation are mediated by a complex cascade of intercellular signaling molecules that are potential targets for therapy. For example, mTOR-inhibitors are of increasing interest for the treatment of HCC, as activation of the PI3K/Akt/mTOR pathway was reported for up to 50% of HCC [
41]. An mTOR-inhibitor, everolimus, demonstrated antitumor activity in experimental HCC models [
42], which led to its testing in phase II and III trials [
43]. The mTOR inhibitor rapamycin, which has been shown to prevent organ rejection, is also being tested in patients with HCC who received liver transplantation. Interestingly, patients treated with rapamycin were found to have a lower risk of recurrence of HCC [
44,
45]. Other key signal transduction pathways implicated in the pathogenesis of HCC that have therapeutic potential are the Ras/Raf/MAPK pathway, Wnt-β-Catenin pathway, Hedgehog signaling, JAK-STAT pathway, and apoptotic pathways [
46]. Deregulated apoptosis and autophagy synergistically promote HCC invasion and metastasis, and represent valuable molecular targets for intervention to reduce metastasis and recurrence [
47-
49]. Phase I trials targeting the apoptosis inhibitors XIAP and BCL2 are ongoing in HCC.
A further approach in the treatment of HCC is targeting the epigenetic changes that inactivate important tumor suppressor genes or pathway antagonists. The potential use of antagomirs and reconstitutive miRNA compounds in the treatment of cancer is very promising. There is emerging evidence for the use of combination therapies targeting various molecules for adjuvant therapy. Unraveling the complex interactions between diverse biologic levels and dissecting the different signaling pathways activated during hepatocarcinogenesis will certainly lead to the development of more effective combination strategies for treatment of HCC. Nonetheless, the ultimate biomarker to predict treatment responses has not been identified. It should be emphasized that pharmacogenomic analyses of patients should be carried out during clinical trials to test molecular therapies in order to determine the optimal combination of available targeted therapies and to better understand the mechanisms of drug resistance.
The tumor microenvironment as a therapeutic target in HCC
The microenvironment of HCC is composed of cellular components such as hepatic stellate cells, fibroblasts, immune, and endothelial cells, as well as various non-cellular components, including extracellular matrix (ECM) proteins, proteolytic enzymes, growth factors and inflammatory cytokines [
50]. The cross-talk between HCC cells and the surrounding microenvironment is a key modulator of the processes of hepatocarcinogenesis, tumor invasion and metastasis. Previously, HCC treatments were focused on targeting tumor cells. However, biologic agents that target components of the tumor microenvironment may provide an interesting alternative to traditional tumor cell-directed therapy. In this regard, the multikinase inhibitor sorafenib represents a typical reagent that simultaneously blocks tumor angiogenesis while decreasing HCC cell viability, and inducing apoptosis.
In particular, targeted treatment aimed at inhibiting TGF-β signaling appears to be promising, as high expression of TGF-β is a key mediator of liver fibrosis, HCC progression, and epithelial-mesenchymal transition (EMT), in addition to being a poor prognostic indicator of HCC [
51-
53]. The TGF-β receptor 1 kinase inhibitor, LY2109761, deactivates Smad-2 protein, decreasing the migration and vascular invasion of HCC cells and upregulating E-cadherin expression in HCC cell membranes, which in turn mediates cell adhesion. LY2109761 was shown to inhibit tumor-specific neoangiogenesis by blocking paracrine cross-talk between HCC and endothelial cells, via Smad-2 dependent inhibition of VEGF production. The observed efficacy of LY2109761 was surprisingly superior to bevacizumab, which specifically targets VEGF [
51,
52]. In addition, LY2109761 was also shown to inhibit the cross-talk between HCC cells and cancer-associated fibroblasts, through the downregulation of connective tissue growth factor, thus inhibiting tumor progression [
51,
52]. More recently, the interaction of CD151 in HCC cells and its ligand laminin-5 in ECM was demonstrated to promote the spread of HCC by inducing EMT and neoangiogenesis. These findings suggested that CD151 was a promising therapeutic target that functioned by dampening cross-talk between HCC and ECM components [
54-
56]. In addition, mesenchymal stem cells that overexpressed the pigment epithelium-derived factor were able to inhibit the growth of HCC in nude mice, which may make it a useful therapeutic tool in the control of HCC [
57]. Nonetheless, phase I clinical trials targeting TGF-β signaling, CD151 or other components of the tumor microenvironment have not yet been performed.
The basic rationale for targeting tumor-stromal interaction is to suppress the effect of surrounding tissues or cell types on hepatocarcinogenesis, tumor progression, invasion, and metastasis, while minimizing systemic toxicity by delivering drug effects specifically to tumors and their microenvironment. It should be noted that each component of the tumor microenvironment shares some functional redundancies. Therefore, targeting one molecular component of the tumor microenvironment does not necessarily suppress HCC progression. Of particular importance, the tumor microenvironment of HCC consists of the intratumoral microenvironment and the peritumoral liver microenvironment, both of which play a crucial role in HCC invasion and metastasis [
58-
61].
Potential of immunotherapy for HCC
Immunotherapy aims to provide a more efficient and selective targeting of tumor cells, by inducing or boosting the existing tumor-specific immune response. The rationale for immunotherapy for HCC is based on the finding that patients with tumors containing infiltrating, presumably tumor-specific cytotoxic cells and memory T cells, had a reduced risk of tumor recurrence following hepatectomy and liver transplantation [
61,
62]. Moreover, anti-CD3 and interleukin (IL)-2-stimulated autologous T lymphocytes significantly improved post-surgical recurrence-free survival when infused in HCC patients [
63]. These data imply a central role of T cells in modulating tumor progression and provide strong justification for T cell immunotherapy. As such, a number of immunotherapeutic options were evaluated in HCC patients (Table 2) and phase II trials targeting PD-1 or B7-CD28 are now ongoing in HCC patients.
Tumor-associated antigens (TAAs) are required for the successful development of T cell-based immunotherapies. To date, six HCC-specific TAAs targeted by T cells have been identified, including α-fetoprotein, glypican-3, NY-ESO-1, SSX-2, melanoma antigen gene-A, and telomerase reverse transcriptase [
91]. The frequency of these TAA-specific T cell responses is low in HCC patients and
in vitro stimulation is often required for their detection. Despite the development of multiple approaches for the use of T cell-based HCC immunotherapies so far, the tumor-specific T cell responses achieved were often not robust enough to induce clinical responses. The observed modest clinical efficacy may be explained by the strong tolerogenic environment at the tumor site and the existence of various tumor suppressive factors, including regulatory T cells, tumor associated macrophages and neutrophils, myeloid-derived suppressor cells, and tumor-derived inhibitory factors (Fig. 1) [
58,
60,
61,
92,
93]. Clearly, treatment strategies combining the blockade of immunoregulatory cell types such as regulatory T cells, myeloid-derived suppressor cells and inhibitory receptors, along with vaccine-induced activation of TAA-specific T cells may be necessary to achieve the most effective therapeutic antitumor activity in HCC. Importantly, a combination of the above strategies with conventional HCC treatments, such as transarterial embolization or local tumor ablation may increase HCC immunogenicity and unmask TAA-specific T cell responses.
A role for liver cancer stem cells
The hierarchical model of cancer origin is based on the assumption that tumor heterogeneity originates from a small population of cancer stem cells (CSCs) that share multiple characteristics of tissue stem cells. The failure of existing treatments for cancer has initiated the search for new methods that effectively target CSCs. However, CSCs are difficult to treat using conventional methods because of their chemoresistant and radioresistant properties, as well as their ability to stimulate angiogenesis. Moreover, these properties of CSCs contribute to tumor recurrence and treatment resistance in advanced cases of cancer, through increased levels of BCL2 family proteins or activation of ABC transporters [
94].
In HCC, efforts have been focused on identifying markers exclusive to liver CSCs and toward developing targeted therapies. The Hoechst 33342 dye has been used to isolate liver CSC-like side population cells [
95]. Numerous studies have been published on various markers for putative human liver CSCs: specifically CD133, CD90, epithelial cell adhesion molecule (EpCAM) and CD13 [
96-
99]. Specific targeting of liver CSC in pre-clinical studies, for instance, by targeting EpCAM
+ cells by RNAi-mediated inhibition or forced differentiation using the cytokine, oncostatin M in combination with conventional chemotherapy, showed increased apoptosis and decreased cell proliferation, indicating the potential of CSC for therapeutic modalities in liver cancer [
97,
100]. However, the use of liver CSC markers is still controversial, because none of these markers is exclusively expressed by liver CSCs in HCC. Further study of the properties of these cells may lead to modalities of therapy for HCC which specifically target liver CSCs. In addition, targeting pathways that lead to the self-renewal and proliferating properties of cancer stem cells such as the Hedgehog, Wnt, Notch, and IL-6 pathways, use of differentiation therapy such as retinoic acid, and targeting the microenvironment of the stem cell niche could all provide powerful new therapeutic approaches to treat this typically lethal and cancer [
101,
102].
Future perspectives
Due to efficient surveillance of patients, improved diagnostic assessment, as well as increased efforts to develop novel therapeutic strategies, liver cancer hasevolved from a universally deadly disease to a treatable one. Large scale and systematic application of novel technologies such as next-generation sequencing, as well as the study of HCC on all molecular levels including the epigenome, genome, transcriptome, and proteome are urgently needed to decode the biology of HCC and improve the limited prognosis. Anti-angiogenic strategies are likely to continue to be important in the treatment of HCC. Hence, an understanding of mechanisms of resistance to VEGF therapies will pave the way for effective treatment regimens. Further unraveling the tight and complex interactions between the diverse biologic levels and dissecting the different signaling pathways activated during hepatocarcinogenesis will certainly lead to a greater insight into HCC development and in turn, novel strategies for the diagnosis and treatment of HCC. With regards to the use of immunotherapy for HCC, the repertoire of HLA class I and class II presented TAA-specific T cell epitopes first needs to be expanded, and the mechanisms of T cell failure require further investigation before immunotherapy can successfully be utilized to treat HCC in the clinical setting. Additionally, the study of tumor-host interactions, and in particular, the tumor microenvironment, an evolving interdisciplinary field, should be considered when developing future HCC treatments. On the other hand, successful clinical development of new agents will require careful patient selection based on both the stage of underlying liver disease and tumor burden. Analyses that define the molecular heterogeneity of HCC will eventually lead to the identification of clinically useful biomarkers that are both prognostic and predictive of response to novel therapeutics.
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