Abstract
Autophagy is a key biological phenomenon conserved from yeast to mammals. Under basal conditions, activation of autophagy leads to the protein degradation as well as damaged organelles for maintaining cellular homeostasis. Deregulation of autophagy has been identified as a key mechanism contributing to the pathogenesis and progression of several liver diseases, including hepatocellular carcinoma (HCC), one of the most common and mortal types of cancer. Currently used treatment strategies in patients with HCC result in variable success rates. Therefore, novel early diagnosis and treatment techniques should be developed. Manipulation of autophagy may improve responses of cancer cell to treatments and provide novel targeted therapy options for HCC. In this review, we summarized how our understanding of autophagy-cell death connection may have an impact on HCC therapy.
Keywords: Autophagy, HCC, cell death, chemotherapy
INTRODUCTION
Autophagy is a catabolic response of cells to stress. During this process, cargo is delivered to the lysosomes for degradation, supporting new building block synthesis and allowing cells to maintain homeostasis. Autophagy is active at a basal level in cells, and it may further be upregulated in response to several types of stresses that disturb cellular homeostasis, including low cellular ATP levels, nutrient and growth factor deprivation, hypoxic conditions, endoplasmic reticulum (ER) stress, pathogen entry, or anticancer drug treatment (1). Autophagy products feed into cellular energy-generation pathways, facilitating cell survival under stressful conditions. In contrast, overactivation of autophagy may indeed lead to cell death through so far not well understood mechanisms as an alternative nonapoptotic programmed cell death mechanism, “autophagic cell death” has been reported to be responsible for killing cells in a number of scenarios (2–4).
Abnormalities related to autophagy are known to be related to various human pathologies ranging from neurodegenerative diseases to cancer, including hepatocellular carcinoma (HCC) (5). Moreover, autophagy has been described as one of the central pathways for liver health and disease. In starved animals, a grand majority of total protein and glycogen degradation in the liver depends on autophagic degradation (6). On the other hand, autophagy is related to several liver diseases, including fatty liver disease and HCC (7,8). For instance, blockage of autophagy and autophagolysosomal degradation in mice using genetic tools resulted in hepatosteatosis and hepatomegaly (9).
The role of autophagy in cancer-related processes is currently under investigation. Yet, a picture started to emerge. A number of studies showed that during transitions from normal cells to cancer cells, autophagy either plays a tumor-suppressor role or prevents cancer formation. In contrast, exploitation of autophagy to deal with hypoxia and energy crisis may allow fast-growing and poorly-vascularized tumors to survive and expand. Therefore, a comprehensive understanding of autophagy pathways that are operational in HCCs may be most rewarding, allowing development of new diagnosis and treatment techniques. In this review, we will briefly introduce the basic autophagic machinery and autophagy-cell death connections and summarize implication of autophagy-related cell death and survival for HCC management.
Autophagy mechanisms
The basic autophagy mechanism is conserved from yeast to man. It is tightly regulated by almost 40 different ATG (Autophagy) genes. Following the initial description of the pathway in the yeast, function of ATG genes and their products were studied under several physiological and pathological conditions.
Autophagosome (or autophagic vesicle) and autolysosome formation is a result of well-studied sequential stages, including induction, vesicle nucleation, lysosome fusion, and degradation. Here we will briefly overview autophagosome formation stages and the role of major proteins involved in the machinery (Figure 1). Autophagosomal membrane lipids that are contributing to de novo autophagosome membrane synthesis appear to originate from various pre-existing membrane structures, such as plasma membrane, ER, or mitochondrial membranes (10).
The most important upstream regulators of autophagy are the mammalian target of rapamycin complexes (mTORC1 and 2). A central serine/threonine kinase, the mTOR kinase, is the essential component of both mTOR protein complexes. These protein complexes play key roles in the regulation of cellular growth, cell-cycle progression, cell migration, and protein synthesis as well as the coordination of the catabolic autophagy activation with the activity of these essential cellular anabolic pathways.
When the growth conditions are favorable, mTOR complexes are active and the autophagic machinery is shut down. mTORC1 regulates the downstream Atg1/Ulk1 autophagy-related kinase complex (11). Under nutrient-rich conditions, mTOR phosphorylates ATG13 and ULK1/2, and their activity is inversely correlated with FIP200 phosphorylation. On the other hand, under nutrient deprivation, mTOR targets are dephosphorylated and ATG13 binds to ULK1/2 and FIP200. Then, ULK1/2 phosphorylates FIP200 and FIP200-ULK1-ATG13 complex (12). Hence, activated Atg1/ULK1 complex regulates the activity of a second complex named as class-III phosphatidylinositol 3-kinase (PI3K) complex, which contains the lipid kinase Vps34. The PI3K complex consists of Vps34, Vps15, Atg6, and Atg14 in the yeast. The mammalian counterparts of this complex include Beclin 1 (BECN1), ATG14L (Barkor), AMBRA1, hVps34, and p150 (13). Formation of phosphatidylinositol 3-phosphate (PI3P) molecules on cellular membranes creates a landing pad for the recruitment of other proteins and complexes that are required for autophagosome formation (1).
During the autophagosome membrane elongation step, two ubiquitination-like conjugation systems, namely ATG12-5-16L1 and ATG8 systems, are required. In the first conjugation system, ATG12 is conjugated to ATG5 by the help of ATG7 (E1-like enzyme) and ATG10 (E2-like enzyme) proteins. Covalent conjugation of ATG12 to the lysine 130 residue (K130) of ATG5 is followed by the addition of ATG16L protein to the complex. Oligomerization of ATG16L proteins results in the formation of an autophagy-related 800-kDa protein complex (11). ATG12-5-16L1 complexes possess an E3-like enzyme activity that is required for the second ubiquitination-like conjugation system. The second system involves the conjugation of ATG8/LC3 to a lipid molecule, generally to a phosphatidylethanolamine (PE). After cleavage of the carboxyl-terminus of LC3 protein by Atg4 cysteine proteases, a glycine residue is exposed. In this form, the LC3 protein is called LC3-I, a free cytosolic form of the protein.
Then, LC3-I is conjugated to a PE by the help of ATG7 and ATG3 E2-like enzymes, resulting in the appearance of a membrane-bound autophagic LC3-II form. Of note, the LC3-II form is associated with mature autophagosomes, and it is commonly used as a marker of autophagy, and it represents the number and distribution of autophagosomes during autophagic activity analyses. ATG18/WIPI proteins are other important players in autophagosome formation. ATG18/WIPI proteins are WD-repeat containing proteins that are able to recognize PI3P at the nascent autophagosome and they regulate autophagic activity through recruitment of two ubiquitin-like recruitment systems. In the yeast, ATG2 protein interacts with ATG18, this interaction was shown to be important for the membrane localization of ATG18 and elongation of autophagosome membranes. Studies in mammalian cells have also underlined the importance of WIPI proteins for autophagy. ATG9, a multi-pass transmembrane protein localized to late endosomes and the trans-Golgi network, is involved in the transport of membranes to forming autophagosomes. After completion and closure of autophagic vesicles, the last stage involves their fusion with late endosomes or lysosomes. Several membrane fusion events connect these two distinct compartments. and RAB proteins, SNAP receptor machinery, and dynein-mediated transport of autophagosomes along the microtubules are required for the fusion process to occur. Finally, the cargo inside the autophagosome is delivered to the lysosomal lumen and degraded by the action of hydrolytic enzymes in this compartment.
Initially, autophagy was described as a nonselective degradation pathway (14). However, recent studies showed that different autophagy receptors that are capable of recognizing specific cargo targets were identified, underlining the fact that autophagy may be selective (15,16). Autophagy receptors include SQSTM1/p62, NBR1, NDP52 (also known as a CALCOCO2), OPTN, and NIX (also known as BNIP3L) (17–21). Some of these receptors are able to bind and ubiquitinate targets. Moreover, several receptors share motifs called LIR (LC3-interacting region), allowing bridging between LC3 on the autophagosomes selective autophagy targets. Because autophagy receptors are also delivered to autolysosomes together with the cargo, their cellular levels are generally downregulated following autophagy activation. Hence, degradation of autophagy receptors is also another commonly used marker of autophagic activity.
Autophagy in hepatocellular carcinoma
The role of autophagy in cancer is complex [see (22) for a comprehensive review of the topic]. There is experimental evidence that in early phases of cancer formation, autophagy functions as an anticancer pathway, preventing malignant transformation of normal cells to cancer cells. On the other hand, autophagy is involved in various stages of cancer progression and metastasis. Especially, survival of fast-growing tumors has been correlated with their autophagic activity. A large collection of articles implicating autophagy in drug resistance exist as well. Here, we will summarize the role of autophagy in the context of liver cancer.
Liver cancer formation has been observed in a number of autophagy mice models. ATG6/BECN1 (Beclin 1) is a key gene in the autophagy pathway. BECN1 deletion is observed in 40%–75% human cancers (23,24). Interestingly, a heterozygous deletion of atg6/becn1 in mice resulted in increased tumorigenesis in multiple tissues, including the liver (23,24). Moreover, becn1 deletion accelerated hepatitis B virus (HBV)-related HCCs, underlining the importance of atg6/becn1 gene in liver cancer formation (23). Deletion of other autophagy genes, such as atg5 and atg7, leads to the formation of benign liver adenomas in mice models (25). In addition, liver-specific atg7 deletion results in hepatomegaly and hepatic failure, underlining the role of autophagy in liver homeostasis, disturbance of which may be the cause of HCC. Strikingly, additional p62 deletion in a liver-specific atg7 deficient background alleviated tumor burden, indicating that an important role of autophagy in this context is to eliminate cellular protein aggregates in a p62-dependent manner (26). Similarly, deletion of autophagy-related genes Uvrag enhanced susceptibility to HCC development in mice (27,28). Therefore, an important role of autophagy-related proteins and the autophagy pathway in liver cells is the preservation of liver homeostasis and prevention of HCC development (Figure 2).
Cancer-preventing effects of autophagy may be related to its role in clearing damaged mitochondria, elimination of abnormal and mutant proteins and protein aggregates, and specific elimination of proliferation-related proteins (5,29). Disturbances in autophagic activity result in higher levels of reactive oxygen species (ROS) and increase their susceptibility to DNA damage and genomic instability (30,31). First, damaged mitochondria and accumulation of protein aggregates boost ROS burden in cells. Moreover, other autophagy-related antioxidant mechanisms exist as well. For example, activation of NRF2, a key transcription factor in antioxidant defense, has been found to be regulated by autophagy (32). Under normal conditions, Keap1, an adaptor protein of Cullin-3 ubiquitin ligase, allows ubiquitination and degradation of NRF2. ROS accumulation results in the oxidation of Keap1 and its dissociation from NRF2, leading to its stabilization and nuclear migration. Another mechanism of Keap1 elimination is selective autophagy. Competitive binding of the autophagy receptor p62 to Keap1 followed by their selective autophagic degradation activates NRF2, triggering an antioxidant transcriptional pathway. p62 accumulation has been found to drive liver cancer formation in a number of mice models (25,33,34).
In contrast, autophagy is described as an important mechanism for cancer progression in established malignancies (Figure 3). For example, basal autophagy is elevated in hypoxic regions of some solid tumor types and found to be an essential role for tumor cell survival in experimental models (35). Tumor neovascularization may not always result in a homogenous vessel network, and especially in fast-growing tumors, regions that have limited access to nutrients and oxygen exist (36). Thus, cancer cells in these regions may be more dependent on autophagy than normal-growing cells. Indeed, autophagy has been shown to promote HCC growth in experimental studies (37–39). Autophagy is also believed to support the survival of cancer cells and contribute to metastasis and chemotherapy resistance.
In summary, although autophagy may act as an antitumor pathway preventing early stages of cancer development in established tumors, it may protect cancer cells from various stress conditions, including starvation, oxidative stress, hypoxia, and chemotherapy, and it may contribute to the growth and spread of cancerous cells (13,40)
Autophagy and cell death
Autophagy is generally considered as a stress response and a cell-survival mechanism. It is frequently observed that dying cells exhibit autophagy activation. Whether this autophagic activity is a failing attempt to rescue stressed cells or conversely contributes to cell death is a matter of scientific debate. Yet under certain conditions, blockage of autophagy using chemicals or genetic tools may rescue cells from death. Moreover, autophagy activation is observed in a number of necrotic-like programmed cell death types, including necroptosis and autosis; however, the contribution of autophagy to these novel death pathways has not been thoroughly analyzed (41). Nevertheless, several independent articles showed the existence of a nonapoptotic cell death type that depended on autophagic activity (2,42–46).
In the context of cancer, autophagic cell death is shown to limit clonogenic survival. For example, H-ras, one of the most commonly mutated proteins in various cancers, is found to increase cellular levels of the autophagy protein Beclin 1 and induce caspase-independent cell death with autophagic characteristics (42). In multiple myelomas, cleavage of autophagic cell death inducer BCLAF1 by caspase-10 is required for cancer cell survival (43). In addition, several tumor-suppressor-related and cell-death-related proteins, including DAPK, DRP1, ZIP, p19ARF, and GBA, triggered autophagic cell death (2,45–48). Therefore, although autophagy allows cells to survive stressful conditions that cancer cells are facing during various stages of cancer, excessive autophagy and autophagic cell death may kill cancer cells and limit their progression and metastasis.
Autophagy and hepatocellular carcinoma therapy
Hepatocellular carcinoma is one of the most common cancer types. It is the third leading cause of cancer deaths worldwide (49). History of chronic liver disease and cirrhosis is among the factors that predispose patients to HCC development. Understanding the molecular mechanisms of HCC development and the contribution of autophagy deregulation to these mechanisms are among important challenges of modern medicine. Therefore, in this section, we will summarize preclinical and clinical studies that focused on autophagy in an HCC treatment context (Table 1).
Table 1.
Therapeutics | Autophagy status | Autophagy effect on chemotherapy | Tested cell lines | Reference | |
---|---|---|---|---|---|
Conventional chemotherapeutics | Oxaliplatin | Increase | Chemoresistance | Huh-7 SMMC-7721 | (52) |
Oxaliplatin | Increase | Chemoresistance | HepG2 | (51) | |
Adriamycin | Increase | Chemoresistance | HepG2 | (56) | |
Cisplatin | Increase | Chemoresistance | SMMC-7721 Hep3B HepG2 |
(53) | |
5-FU | Increase | Chemoresistance | SMMC-7721 Hep3B HepG2 |
(53) | |
Epirubicin | Increase | Chemoresistance | HA22T/VGH | (54) | |
Pemetrexed | Increase | Chemoresistance | HepG2 | (55) | |
Small molecules | Sorafenib | Increase | Chemoresistance | PLC/PRF/5 Hep3B HepG2 |
(63) |
Sorafenib | Increase | Chemosensitivity | Sk-Hep-1 PLC/PRF/5 Hep3B HepG2 |
(65) | |
Panobinostat | Decrease | Chemosensitivity | Hep3B HepG2 Huh-7 |
(64) | |
Bevacizumab | Increase | Chemoresistance | SMMC-7721 Hep3B |
(68) | |
Linifanib | Increase | Chemoresistance | HepG2 Bel-7404 |
(69) | |
SC-2001 | Increase | Chemosensitivity | Sk-Hep-1 PLC/PRF/5 Hep3B HepG2 |
(73) | |
ABT-737 | Increase | Chemoresistance | Huh-7 PLC/PRF/5 Hep3B HepG2 |
(70) | |
Salinomycin | Increase | Chemosensitivity | HepG2 | (71) | |
Natural products | Baicalin | Increase | Chemosensitivity | SMMC-7721 | (74) |
Galangin | Increase | Chemosensitivity | HepG2 | (75) | |
Cannabinoids | Increase | Chemoresistance | HepG2 Huh-7 |
(76) | |
Berberine | Increase | Chemosensitivity | SMMC-7721 HepG2 |
(77) | |
Allicin | Increase | Chemosensitivity | HepG2 Hep3B |
(78) | |
Matrine | Increase | Chemosensitivity | HepG2 Bel-7402 |
(79) | |
Glycyrrhetinic acid | Increase | Chemosensitivity | HepG2 Hep3B |
(80) | |
SCB | Increase | Chemosensitivity | Hep3B ML-1 |
(81) | |
20(S)-Ginsenoside Rg3 | Decrease | Chemosensitivity | Sk-Hep-1 HepG2 |
(82) | |
Arenobufagin | Increase | Chemoresistance | HepG2 | (83) | |
Bufalin | Increase | Chemoresistance | Huh-7 HepG2 LO2 |
(84) | |
Noncoding RNAs | miR-199a-5p | Decrease | Chemoresistance | Huh-7 HepG2 |
(86) |
miR-375 | Decrease | Chemoresistance | Huh-7 Hep3B |
(87) | |
miR-101 | Decrease | Chemosensitivity | HepG2 HepG2 Hep3B SNU-182 Huh-7 PLC/PRF/5 HepaRG |
(90,91) | |
miR-21 | Decrease | Chemoresistance | HepG2 Huh-7 |
(92) | |
PTENP1 | Increase | Chemoresistance | Mahlavu | (94) | |
Other therapies | NVP-BEZ235 | Increase | Chemoresistance | Hep3B PLC/PRF/5 |
(97) |
MK-2206 | Decrease | Chemosensitivity | Mahlavu PLC SNU387 SNU449 SNU475 |
(98) | |
GD0068 | Decrease | Chemosensitivity | HepG2 Huh-7 |
(99) | |
OSU-03012 | Increase | Chemoresistance | Huh-7 | (101) | |
Meloxicam | Increase | Chemoresistance | HepG2 Bel 7402 Huh-7 SMMC-7721 SMMC 7402 |
(103) | |
SAHA | Increase | Chemoresistance | HepG2 Hep3B Huh-7 |
(105) | |
Radiotherapy | Increase | N.D. | Sk-Hep-1 | (107) | |
Radiotherapy | Increase | Chemoresistance | Sk-Hep-1 | (108) | |
ADI-PEG20 | Increase | Chemoresistance | HepG2 SMMC-7721 |
(109) | |
CD133/ Prominin-1 | Increase | Chemoresistance | HepG2 LO2 Hep3B Huh-7 |
(94) |
HCC: hepatocellular carcinoma; ND: not determined
Conventional chemotherapeutics
Chemotherapeutic agents were shown to activate autophagy in a number of cancer types. Oxaliplatin is a platinum-based chemotherapy agent that is widely used in the treatment of HCC (50,51). Indeed, oxaliplatin treatment led to autophagic activation in both HCC cells and xenografts (52). Inhibition of autophagy under these conditions increases the cytotoxicity of oxaliplatin, suggesting that autophagy may be an important player in the resistance in HCC to oxaliplatin toxicity (51,52). In another study, cisplatin and 5-FU were shown to induce the formation of autophagosomes in three different HCC cell lines, and attenuation of autophagy enhanced the cisplatin and 5-FU-induced cell death under both in vitro and in vivo conditions (53). The role of autophagy in chemoresistance of HCC to epirubicin has also been investigated. Combination of progesterone was found to overcome autophagy-related chemoresistance and allowed effective cancer cell elimination (54). Moreover, Yongxi et al. (55) showed that pemetrexed-induced autophagy in HepG2 HCC cell line blocked apoptosis activated by ERK inhibition. On the other hand, another chemotherapeutic agent, adriamycin, was found to induce mitochondrial depolarization and autophagy, and its combination with curcumin to block autophagy further decreased the level of proliferation in comparison with adriamycin alone (56).
Targeted small molecules
Sorafenib is an FDA-approved tyrosine kinase inhibitor (TKI) used in the treatment of HCC (57). The drug increased overall survival even in patients with advanced disease (57,58). Sorafenib induces both apoptosis and autophagy in HCC cells. Moreover, studies revealed that ER stress may be involved in sorafenib cytotoxicity (59). Modulation of proteasomal degradation also influenced sorafenib effects on cell fate. Combination with proteasome inhibitors significantly increased HCC cell death compared with sorafenib alone (60). Inhibition of mTOR and accumulation of autophagosomes were reported upon sorafenib treatment of HCC cells (61). Concomitantly, combination of sorafenib and chloroquine (CQ, a drug that prevents autophagosome maturation) had synergistic effects on tumor growth suppression (61,62). In line with this, sorafenib has been found to kill more cells when autophagy is attenuated using CQ or following genetic suppression by a specific siRNA (small interfering RNA) against Beclin 1 or ATG5 (63). In another study, panobinostat, a pan HDAC inhibitor, was found to enhance the effect of sorafenib by blocking autophagy (64). Moreover, a derivative of sorafenib, SC-59, that has a more potent effect on cancer cell viability than sorafenib, was shown to downregulate p-Stat3 levels and induce strong autophagy activation in HCC cell lines (65). Besides sorafenib, another TKI, nilotinib, stimulated autophagy in HCC cells through AMPK phosphorylation and regulation of PP2A (66). Combination with another agent, FTY720 (a potent sphingosine-1-phosphate receptor agonist), enhanced sorafenib-induced cytotoxicity in HCC cells (67).
Other targeted drugs also have autophagy-activating effects. For example, targeting vascular endothelial growth factor (VEGF) by bevacizumab triggered autophagy. Moreover, combinatory inhibition of autophagy together with bevacizumab elevated apoptosis levels in HCC cells (68). Another inhibitor of VEGF, linifanib, also induced autophagy in HCC cells, and similarly, its cytotoxic effects were further enhanced on autophagy suppression (69). Ni et al. provided evidence that resistance to the bcl-2 inhibitor ABT-737 is a result of the activation of a ROS-JNK-autophagy pathway in HCC cells (70). Moreover, salinomycin-mediated suppression of autophagy in HCC cells has been reported to result in their cell death through defective mitochondria accumulation and ROS accumulation (71). In another study, inhibition of Hsp90 by 17-AAG was shown to sensitize HCC cells against gossypol induced apoptosis through suppression of cytoprotective autophagy (72).
In contrast with these findings, a study by Tai et al. showed that sorafenib enhanced autophagy-dependent cell death in HCC both in vitro and in vivo (65). In line with this, SC-2001, an analog of the bcl-2 inhibitor obatoclax, induced autophagic cell death in HCC cells (73). It is possible that autophagy levels in these set-ups were more robust than those in other cited studies, converting chemoprotective autophagy to a cell death-inducing pathway.
Natural products
A number of natural products have been shown to have autophagy-related effects on the growth and survival of HCC cells. For example, baicalin is a natural flavonoid obtained from the Chinese herb Scutellaria baicalensis, and it exerts an apoptosis and autophagy-dependent inhibitory effect on HCC (74). Alpinia officinarum-derived Galangin is another natural flavonoid that induces autophagy in HCC cells through the activation of TGFb receptor/Smad axis (75). Various cannabinoid derivatives showed antitumor effects against HCC that depend on intact autophagic activity. Blockage of autophagy attenuates antitumor effects, thus supporting the idea that autophagic cell death is active under these circumstances (76). Similarly, berberine, allicin, matrine, and glycyrrhetinic acid are plant-derived molecules that show their antitumor effects through induction of either apoptosis and/or autophagy in HCC cells (77–80). In another study, administration of soybean fermentation products containing live bacteria (SCB) was shown to suppress HBV-related HCC tumor growth; under these conditions, SCB induced both apoptosis and autophagy (81). On the other hand, steroidal saponin 20(S)-Ginsenoside Rg3 has been shown to block autophagy and promotes doxorubicin sensitivity in HCC cells and tumors (82).
In addition to plant-derived natural products, venoms are another group of natural products that have been evaluated for cancer treatment. Arenobufagin, a venom isolated from toads, shows significant antineoplastic efficacy against both naive HepG2 cells and their multidrug resistant clones. Inhibition of autophagy is reported to enhance the level of apoptosis in this context (83). Another toad venom, bufalin, also has an antitumor activity on HCC cells, and its efficacy has been found to increase under autophagy-attenuated conditions (84).
Noncoding RNAs
MicroRNAs are associated with various cellular phenomena including cell death, differentiation, and diseases. Dysregulation of miRNAs is linked to cellular abnormalities and carcinogenesis, and changes in microRNA levels affect tumor growth and progression. As explained in detail above, autophagy abnormalities are also associated with cancer. Therefore, changes in the levels of a subset of miRNAs that control the autophagic activity may have important outcomes on cancer cell survival and drug responses (85). For example, levels of drug resistance-associated miR-199a-5p were found to be significantly decreased in patients with HCC following treatment with cisplatin. In fact, miR-199a-5p has been shown to be responsible from the attenuation of cisplatin-induced autophagy in HCC cell lines through ATG7 targeting. Inhibition of autophagy in HCC cells blocked miR-199a-5p downregulation-induced cell proliferation and cisplatin resistance (86). Another ATG7 targeting miRNA, miR-375, has been found to be downregulated in HCCs and decreases HCC cell viability under hypoxic conditions (87,88). Another miRNA, miR-224, is one of the most studied miRNAs in HCC, and it has been shown to target Smad4. Strikingly, high miR-224 levels were associated with lower Atg5 levels as well as lower Smad4 levels, and these findings significantly correlated with HBV infection and poor overall survival in patients with HCC (89). Interestingly under these conditions, autophagy was shown to limit miR-224 levels through the direct degradation of the miRNA, hence resulting in liver tumor suppression (89). MiR-101 has been characterized as an autophagy-inhibitory miRNA, and this effect has been shown to sensitize HCC cells against cisplatin, doxorubicin, and 5-FU (90,91). MiRNAs were also involved in sorafenib resistance in HCC. For instance, Mir-21 is found to suppress autophagy via PTEN/Akt axis and lead to sorafenib resistance (92). Sorafenib-induced miRNAs were also used for determining prognosis and follow-up. In a study, miR-423-5p was described as a positive regulator of autophagy in HCC cells. Levels of this miRNA in patient sera months after sorafenib treatment indicated a response to treatment, indicating the prognostic value of an autophagy-related miRNA in HCC (93).
Long noncoding RNAs (lncRNAs) have been associated with HCC as well. For example, PTENP1 is identified in a screen of lncRNAs targeting PTEN. In fact, PTENP1 acted as a competitor of several autophagy-regulating miRNAs, such as miR-17, miR-19b, and miR-20a, which target PTEN and PHLPP as well as autophagy genes ULK1, ATG7, and p62. Injection of a PTENP1-expressing virus to mice has been shown to stimulate autophagy and attenuated HCC tumor growth (94).
Other approaches
Recent studies indicate that autophagy regulator mTOR signaling is upregulated in a significant proportion of HCCs (95). Thus, mTOR pathway may be exploited as a drug target in HCC. For instance, RAD001 and BEZ235 are characterized as PI3K/mTOR-inhibitor drugs. Combination of these two drugs has been shown to suppress HCC growth both in vitro cell culture and in vivo in mice experiments (96). Moreover, orally available BEZ235 in a combination with autophagy blockage is also more effective in HCC treatment (97). Another molecule, the Akt inhibitor MK-2206, has been found to trigger cell death, and suppression of autophagy under these experimental conditions has been shown to further enhance the efficacy of the inhibitor in HCC cells (98). Another Akt inhibitor called GD0068 has shown synergistic effects with sorafenib and even suppresses the growth of sorafenib-resistant HCC cells converting cytoprotective autophagy to autophagic cell death (99).
Some studies on nonsteroidal anti-inflammatory drugs (NSAIDs) revealed that inhibition of COX-2, which may be highly expressed in some tumor types, is the underlying mechanism for the cancer-preventive effects attributed to these drugs (100). One of the derivatives of the NSAID celecoxib, OSU-03012, has been found to exert antitumor activities. Gao et al. revealed that autophagy levels were elevated in HCC cells upon OSU-03012 treatment. Blockage of autophagy decreased OSU-03012-induced cell death under both in vitro and in vivo conditions indicating that autophagic cell death is important in the effects of the drug in HCC cells (101). Yet in another study, suppression of autophagy by 3-MA was found to promote NSAID meloxicam-induced apoptosis in HCC (102,103).
Histone acetylation has been linked to cancer through aberrant regulation of cancer-related genes. Interestingly, HDAC1 has been reported to be overexpressed in HCC; yet, HDAC6 has been found to be decreased in HCCs compared with adjacent control tissues, and this observation is associated with poor prognosis (104). Nevertheless, HDAC inhibitors are tested as promising drugs against cancer, and several members of this group of drugs were also found to induce autophagy and even autophagic cell death in some contexts. SAHA, an important HDAC inhibitor, has been shown to induce autophagic cell death in HCC cells (105). In another study, HDAC1 inactivation inhibited proliferation of tumor cells and activate caspase-independent autophagic cell death (106). On the other hand, HDAC inhibitors OSU-HDAC42 and SAHA were both found to induce autophagy in HCC cells. Moreover, inhibition of autophagy decreases SAHA-induced cell death indicative of autophagic cell death activation in HCC (105).
In another study, irradiation was shown to kill HCC cells, which was further enhanced by the combination of oxaliplatin. In addition to this, when apoptosis was attenuated by a PARP inhibitor combination treatment, autophagic activation was observed and cell death responses were more robust (107). In a follow-up study, the same group showed that when HCC cells were treated with high LET irradiation, cells died in an autophagy-dependent manner under both in vitro and in vivo conditions (108). In an additional study, mTOR-inhibitor RAD001 was found to enhance high LET radiation-induced cytotoxicity in HCC cells (109). Altogether, high LET radiation-drug combinations have therapeutic effects against HCC, and autophagy appears to take part in the mechanism of action of these combinations.
Argininosuccinate synthetase (ASS) has been reported to be low in HCC cells. Thus, at least some HCC tumors may be auxotrophic for arginine and require arginine supply from extracellular sources (110). Consequently, autophagy and cell death were activated in HCC cells when they were exposed to a modified form of the arginine-degrading enzyme arginine deaminase (ADI-PEG20) (111). Moreover, an arginine-modifying enzyme, the enzyme peptidylarginine deiminase IV, has been reported to be related to chemoresistance in HCC through regulation of autophagy (112).
CONCLUSION
The above-cited studies underline the importance of autophagy for health and disease in the liver. In particular, with the advance of studies on autophagy cancer, the role of autophagy in HCC development and management becomes clearer. Especially, studies on the contribution of autophagy and related mechanisms to HCC chemoresistance are of special interest. There are several studies correlating autophagic activity with resistance to chemotherapeutic agents, including sorafenib. Several independent labs are currently working on finding novel small molecules that will be capable of manipulating autophagy for treatment purposes. Further studies, including clinical studies, are required to fully reveal the potential of the abovementioned strategies and these potential new drugs, alone or in combination with classical drugs, for the treatment of liver diseases and HCC.
Moreover, a strong connection between autophagy and liver pathologies, including nonalcoholic steatohepatitis, HBV, and hepatitis C virus infection and cirrhosis, has been reported (113). For instance, autophagy constitutes a major clearance of mechanism for intracellular pathogens, such as viruses. However, some viruses, including HBV and HCC, may hijack autophagic membranes during their replication (114). In addition, several autophagy deficient animal models have been shown to suffer from hepatic steatosis, and independent studies have consistently demonstrated that autophagy is involved in lipid and glycogen metabolism. Evidently, these and other abnormalities of liver function and pathologies are also closely related to HCC development. Thus, a better understanding of mechanisms underlying autophagy, its abnormalities, and its connection with liver diseases and disease-causing factors will certainly improve current diagnosis, treatment, follow-up, and prevention strategies for HCC. Autophagy constitutes one of the important medical fields that already started to provide examples of bench-to-bedside transitions. Hence, following this novel but fast-growing field will be most rewarding for both basic scientists and clinical researchers and practitioners.
Acknowledgements
This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) 1001 project number 114Z982. D.G. is a recipient of an EMBO Strategical Development and Installation Grant (EMBO-SDIG), Turkish Academy of Sciences (TUBA) GEBIP Award, IKU Prof. Dr. Önder Öztunalı Science Award and TGC Sedat Simavi Health Sciences Award, Elginkan Foundation Technology Award and Parlar Foundation technology Incentive Award. Y.A. is supported by a TUBITAK-BIDEB 2211 scholarship for PhD studies.
Footnotes
Peer-review: Externally peer-reviewed.
Author Contributions: Concept - Y.A., D.G.; Design - Y.A., D.G.; Supervision - D.G.; Data Collection and/or Processing - Y.A.; Analysis and/or Interpretation - Y.A., D.G.; Literature Search - Y.A., D.G.; Writing - Y.A., D.G.; Critical Reviews - D.G.
Conflict of Interest: The authors have no conflict of interest to declare.
Financial Disclosure: This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) 1001 project number 114Z982.
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