Abstract
Transarterial chemoembolization (TACE) is the gold standard of therapy for patients with unresectable intermediate stage hepatocellular carcinoma (HCC), and is also commonly used as postresection adjuvant therapy in Asia. The delivery of TACE is highly variable from center to center, and clinical decision making for patients is based primarily on tumor staging guidelines, with very little focus on individualized tumor features. This review will discuss recent efforts for improving patient outcomes with TACE treatment through personalized medicine advances, including ongoing clinical trials investigating the combination of targeted therapy with TACE and the discovery of prognostic biomarkers for predicting TACE response.
KEYWORDS : hepatocellular carcinoma, precision cancer medicine, transarterial chemoembolization
Practice points.
Improved selection of patients who will benefit from transarterial chemoembolization (TACE) treatment is a current unmet clinical need.
Optimization of the TACE procedure, including the use of targeted therapies and gene-based therapy, is the focus of current clinical trials.
Advancements in both the collection of patient ‘omics’ data and in imaging procedures have allowed for the discovery of potential prognostic biomarkers and gene signatures for predicting response to TACE, both pre- and posttreatment.
Priority should be placed on investigating biomarkers and gene signatures that are biologically relevant and are linked to drivers of TACE resistance.
Modification of current staging systems and treatment guidelines, by integrating prognostic biomarkers or gene signatures with information technology, is an important future approach to improving patient outcomes with TACE.
Hepatocellular carcinoma (HCC) is a highly heterogeneous disease for which there are multiple causes, including hepatitis B and C infection, cirrhosis, nonalcoholic steatohepatitis and nonalcoholic fatty liver disease, alcohol use and chemical exposure. In addition to the multiple etiological factors leading to HCC, patients with HCC also have varying liver function, which affects treatment planning [1]. Currently, various sets of guidelines drive clinical decision making and treatment recommendations for HCC management. Clinicians in North America and Europe commonly use the Barcelona Clinic Liver Cancer (BCLC) staging guidelines [2], whereas in Asia, the Chinese University Prognostic Index (CUPI score) [3] and Japan Integrated Staging [4] are two examples of guidelines, among others, that are in place. Although each guideline system is slightly different, all drive treatment recommendations based on tumor stage and liver function. There is very little focus placed on the tumor biology of individual patients, with the exception of Japan Integrated Staging, which now includes three tumor biomarkers in its classification system [5]. Further improvements that refine staging systems by incorporating biomarkers or prognostic scores based on individualized molecular tumor features remains a key goal of HCC precision oncology moving forward.
For patients with intermediate disease (e.g., BCLC B) and good liver function, which comprises nearly 50% of patients with HCC, transarterial chemoembolization (TACE) is the first-line palliative treatment of choice and is recommended for patients with large or multinodular tumors with no vascular invasion or metastasis outside the liver [6]. TACE, which was initially developed in the 1980s in Japan [7,8], is an interventional radiology procedure in which a highly concentrated dose of chemotherapy is injected directly into the tumor via the hepatic artery, which serves as the main blood supply to the tumor, via a minimally invasive, image-guided procedure. Then, the TACE procedure blocks the hepatic artery with an embolizing agent, thus cutting off the blood supply to the tumor. This procedure directly targets the tumor with the chemotherapeutic agent while minimizing systemic exposure, and sparing healthy liver tissue, which is mainly supplied by the portal vein [9]. When selecting patients for TACE therapy, guidelines only consider tumor characteristics, performance status and liver function. Other factors such as histological features of the tumor, etiology of HCC or other comorbidities are not considered.
Following a number of previous clinical trials demonstrating discordant results, two clinical trials, one performed in a European patient population [10] and the other in an Asian patient population [11], showed an improvement in overall survival in patients with unresectable HCC when treated with TACE, compared with symptomatic treatment. However, the benefit demonstrated in these patients was likely due to very strict selection criteria, in which only ∼12–20% of trial entrants passed the exclusion criteria. In Asian countries, the use of adjuvant TACE following surgical resection remains the first-line palliative treatment for HCC, despite mixed success in randomized control trials, with some trials demonstrating a benefit and others demonstrating no effect or even a harmful effect [12]. Optimization of the TACE procedure, including better selection and stratification of patients who are most likely to benefit from TACE, represents an important clinical need in the management of HCC, especially as efforts expand to incorporate precision oncology approaches into therapeutic modalities.
Clinical trials for improving TACE
The TACE procedure varies greatly among different physicians and clinical centers, and the technique and number of administrations for achieving maximum tumor regression and optimal outcome remains unclear. As such, many of the current clinical trials evaluating TACE aim to examine the use of various chemotherapeutic and embolizing agents to optimize the procedure, and there has also been considerable interest in combining targeted therapies with the TACE procedure [13]. For example, sorafenib, a multikinase inhibitor that is currently the sole systemic chemotherapeutic that is US FDA approved for HCC treatment, has also been of interest for use in combination with TACE. Sorafenib is known to inhibit VEGFR, which promotes angiogenesis and tumor cell survival and growth, and is activated by hypoxia. Since the TACE procedure itself relies on a combination of chemotherapy with the induction of a hypoxic tumor microenvironment to initiate tumor necrosis, there has been great interest in using sorafenib in combination with the TACE procedure to inhibit the activation of angiogenesis by TACE-induced hypoxia. However, a Phase II clinical trial, the SPACE study, examined the use of sorafenib plus TACE with doxorubicin drug-eluting beads and found no significant difference in time to progression in HCC patients compared with TACE alone [14]. A Phase III study investigating the use of sorafenib in combination with TACE found similar results [15].
A number of clinical trials have evaluated the use of TACE in combination with other targeted antiangiogenic agents, but most have been met with negative outcomes. For example, Phase III trials evaluating brivanib, a dual inhibitor of VEGFR and FGFR [16], and orantinib, an inhibitor of VEGFR and PDGFR [17], both failed to demonstrate improved overall survival with combination therapy. Two Phase II trials evaluated bevacizumab, an anti-VEGF monoclonal antibody, in combination with TACE, which demonstrated the use of bevacizumab to exhibit antitumor activity, thus warranting further studies [18,19], although no Phase III trials are currently underway.
There is also interest in evaluating the feasibility of gene-based therapy in combination with TACE, which has the advantage of localized delivery while reducing systemic toxicities, and has the potential to advance personalized medicine initiatives, by targeting individual tumor characteristics. Several previous clinical trials evaluating combined gene therapy and TACE approaches have shown mixed results, but a Phase II clinical trial evaluating recombinant adenovirus expressing human p53 tumor suppressor gene in combination with TACE (NCT02418988) and a Phase III clinical trial evaluating the antitumor recombinant human adenovirus type 5 in combination with TACE (NCT01869088) are currently ongoing [20]. Clinical trials evaluating pharmacological agents or gene therapy in combination with TACE are summarized in Table 1.
Table 1. . Summary of clinical trials evaluating therapeutic combinations with transarterial chemoembolization.
| Clinical trial | Target | Phase | Result | Ref. |
|---|---|---|---|---|
| Pharmacological agents | ||||
| TACE + sorafenib (SPACE trial) | VEGFR | Phase II | No significant difference in time to progression compared with TACE alone | [14] |
| TACE + sorafenib | VEGFR | Phase III | The addition of sorafenib did not prolong time to progression in patients who responded to TACE | [15] |
| Brivanib | VEGFR + FGR | Phase III | No improvement in overall survival compared with placebo in combination with TACE | [16] |
| Orantinib | VEGFR + PDGFR | Phase III | No improvement in overall survival compared with placebo in combination with TACE | [17] |
| Bevacizumab | Anti-VEGF | Phase II | Concurrent treatment of bevacizumab with TACE is safe and well tolerated. The combination may have antitumor activity | [18,19] |
| Gene therapy | ||||
| Recombinant adenovirus expressing human p53 | Phase II | Ongoing (NCT02418988) | Reviewed in [20] | |
| Recombinant human adenovirus type 5 | Phase III | Ongoing (NCT01869088) | Reviewed in [20] | |
TACE: Transarterial chemoembolization.
Biomarkers to predict TACE response
The failures of various clinical trials indicate that there is a great need to stratify patients based on prognostic biomarkers or other companion diagnostics, to enrich the subset of patients who are most likely to benefit from TACE or a certain TACE combination therapy. The discovery and validation of biomarkers for diagnosis, prognosis and treatment of HCC has advanced greatly in recent years due to the development of new technologies to capture various types of ‘omics’ data. A number of studies have focused on the predictive value of single pretherapeutic biomarkers for determining TACE response, many of which are circulating biomarkers in the serum, representing a class of prognostic candidates that are commonly used clinically [21]. For example, levels of serum AFP, a diagnostic biomarker commonly measured in HCC patients, also has prognostic value for patients receiving TACE, in that patients who test negative for AFP have better treatment response and prognosis following TACE, compared with patients who are positive for AFP [22]. Studies have shown that other biomarkers in the serum also have predictive value for TACE clinical outcome, including LDH [23], VEGF [24] and IGF1 [25].
Several microRNAs (miRNA) have also been implicated in TACE response, both circulating in serum and expression in tumor tissue. A study investigating serum miR-199a/b-3p observed that patients who were refractory to TACE had a lower serum level of miR-199a/b-3p at baseline compared with patients who responded to treatment, indicating that miR-199a/b-3p could predict the efficacy of TACE, thus acting as a novel biomarker for HCC patients prior to treatment [26]. Tumor miRNA expression has also been shown to predict survival in patients with low miR-1268a expression, who had improved prognosis following TACE treatment. Inhibition of miR-1268a was associated with enhanced cell killing by doxorubicin, suggesting that miR-1268a may serve both as an independent prognostic indicator for HCC patients receiving TACE and as a novel therapeutic target for improving tumor cell killing with TACE treatment following surgical resection [27].
Multiple studies have provided evidence that genetic polymorphisms may also have predictive value of survival following TACE. For example, a guanosine insertion/deletion polymorphism in the SERPINE1 gene promoter region is associated with elevated plasma levels of PAI-1 and poor prognosis in patients who have underdone TACE [28]. Additionally, the rs157077 polymorphism of GSTO2 was significantly associated with higher risk of death in HCC patients who had received TACE, and that carriers of the polymorphism had a higher tissue expression of GSTO2, indicating potential use as a prognostic marker [29]. Another study found that patients with the ADAMTS5 rs2830581 polymorphism experienced decreased risk of tumor recurrence and death following TACE treatment [30].
While predicting which patients are most likely to benefit from TACE using biomarkers as a pretreatment strategy remains a key goal of precision oncology efforts moving forward, improvements in the early assessment of HCC response to TACE posttreatment is also critical for guiding future treatment plans. Several biomarkers measured post-TACE are correlated with TACE response. For example, the concentration of circulating nucleosomes, along with other liver markers such as ALP, measured post-treatment, have been shown to serve as an early estimator of TACE response in patients [31]. An increase in circulating CD4(+) T-cell Th17 measured 30 days after TACE was found to be an independent prognostic factor for improved overall survival [32], and an decrease in blood neutrophil-to-lymphocyte ratio following TACE treatment independently predicted poor survival in HCC patients [33]. Post-treatment changes, compared with baseline measured pre-treatment, in AFP [34], VEGFR2 [35], and DCP, which is correlated to angiogenesis [36], are also predictive of overall survival.
As researchers and clinicians are working toward enhanced selection and treatment of HCC patients with TACE, it should be noted that interventional radiological advances in early imaging biomarkers to predict TACE response are also improving, which can determine the potential effect of TACE during, or soon after, the procedure. For example, intraprocedural transcatheter intra-arterial perfusion magnetic resonance imaging (TRIP-MRI) can measure semiquantitative changes in HCC perfusion during the TACE procedure. A reduction in tumor perfusion during TACE was associated with tumor response [37]. Early changes in vascular and cellular findings in MRI after TACE indicated that changes in tumor vascularization followed by changes in apparent diffusion coefficient (ADC), a functional imaging parameter, may serve as indicators of a successful procedure [38]. Follow-up imaging has also been shown to be beneficial to patients, as the ADC ratio measured 1 month following TACE compared with baseline is an independent predictor of progression-free survival [39]. Advances in imaging software may also lead to a better determination of TACE response after treatment, and one study used MRI imaging data and investigational semiautomated software to determine functional imaging parameters that are associated with tumor response to TACE [40]. Biomarkers associated with TACE response are summarized in Table 2.
Table 2. . Summary of biomarkers associated with transarterial chemoembolization treatment outcome.
| Biomarker | Association with TACE | Ref. |
|---|---|---|
| Pre-TACE biomarkers | ||
| Serum biomarkers | ||
| AFP | AFP negative patients experience better treatment response and prognosis | [22] |
| LDH | Lower levels of LDH are associated with an increase in overall survival | [23] |
| VEGF | High VEGF levels predict poor response to TACE | [24] |
| IGF1 | Low IGF1 is associated with poor overall survival | [25] |
| microRNAs | ||
| miR-199a/b-3p (serum) | Lower miR-199a/b-3p level at baseline is associated with TACE resistance | [26] |
| miR-1268a (tumor) | Low miR-1268a expression is associated with improved prognosis after TACE | [27] |
| Genetic polymorphisms | ||
| Insertion/deletion in SERPINE1 | Associated with poor prognosis following TACE | [28] |
| rs157077 of GSTO2 | Associated with higher risk of death in patients receiving TACE | [29] |
| rs2830581 of ADAMTS5 | Associated with decreased risk of tumor recurrence and death following TACE | [30] |
| Post-TACE biomarkers | ||
| Physiological markers | ||
| Circulating nucleosomes | An increase 24 h following TACE is associated with nonresponse to TACE | [31] |
| Circulating CD4(+) T cell Th17 | Increase is independently associated with improved overall survival | [32] |
| Blood neutrophil-to-lymphocyte ratio (NLR) | Decrease in NLR is associated with poor outcome following TACE | [33] |
| AFP | A decrease in post-treatment AFP is associated with tumor response and overall survival | [34] |
| VEGFR2 | A decrease in post-treatment VEGFR2 is associated with favorable overall survival | [35] |
| DCP | A decrease in post-treatment DCP is associated with better overall survival | [36] |
| Imaging biomarkers | ||
| TRIP-MRI | Reduction in tumor perfusion during TACE is associated with tumor response | [37] |
| ADC | The ADC ratio 1 month after TACE independently predicts progression-free survival | [38,39] |
| Functional imaging parameters | Increase in ADC and decrease in venous enhancement 1 month after TACE provides early indication of tumor response to treatment | [40] |
ADC: Apparent diffusion coefficient; NLR: Neutrophil-to-lymphocyte ratio; TACE: Transarterial chemoembolization; TRIP-MRI: Transcatheter intra-arterial perfusion magnetic resonance imaging.
Despite the number of research studies focusing on biomarker development to predict TACE response, few are measured clinically. Personalized medicine strategies for patients with HCC have also included utilizing gene signatures based on mRNA, miRNA, genomic DNA structural alteration and DNA methylation signatures from analyzed in tumor tissue, nontumor tissue or in the plasma/serum. However, these studies have focused on determining gene signatures that predict the presence of HCC, poor survival, or recurrence in patients with various etiological backgrounds [41], and few studies have examined the potential of gene signatures to stratify patients who are most likely to respond to TACE. One pilot study aimed to identify signature genes associated with better TACE treatment response and determined that patients whose tumors experienced complete radiologic response exhibited higher pretreatment expression of genes associated with chemotherapy sensitivity and mitosis [42]. Another recently published study examined gene mutations in tumors treated with transarterial embolization (a procedure similar to TACE but with no chemotherapy included), and determined that mutations in the Wnt/β-catenin signaling pathway may be associated with tumor response to transarterial embolization[43]. Both studies indicate that stratification of patients based on gene signatures represents a realistic goal for treatment of HCC patients with TACE.
Clinical implications & recommendations
Intermediate stage HCC represents a highly heterogeneous group of patients with varying disease etiology, liver function and histological features, and current treatment guidelines are inadequate for determining the appropriate treatment for individual patients. A number of clinically evaluated patient and disease characteristics, such as histological features or etiology of HCC, have been associated with positive or negative survival outcomes with TACE (reviewed in [44]). For example, low (≤200 ng/ml) or high (≥400 ng/ml) AFP has been associated with positive or negative survival outcome, respectively, following TACE, yet like many of the novel biomarkers that have been discovered, these factors have not been evaluated in randomized control trials and have not been added to current stating guidelines. Therefore, until various clinical features, biomarkers and prognostic signatures can be evaluated through prospective randomized control trials, clinicians should continue to use guidelines for HCC treatment that are currently in place, while searching for ways to improve and expand guidelines. One group has demonstrated the ability to more accurately predict HCC risk through the incorporation of clinical biomarkers into prediction models that could be translated into clinical use [45], which is a strategy that could be applied to TACE response prediction. Another recent study found that patients treated with TACE outside of recommended American Association for the Study of Liver Diseases guidelines experienced a survival benefit with TACE treatment, providing clinical evidence that other patients stand to benefit from TACE treatment and demonstrating the suboptimal design of the guidelines [46]. Thus, updating guidelines to both predict and enhance patient outcomes is an important, and potentially achievable, goal. Researchers and physician scientists should focus on the discovery of biologically relevant biomarkers and gene signatures that have mechanistic links to TACE response, with high levels of evidence [47], which are more likely to be successfully developed into a clinical prognostic test. The very recent Phase III clinical trial failure of MET inhibitor tivantinib (NCT01755767), which did not improve overall survival, stratified patients by MET expression and those with MET-overexpressing HCC tumors were included in the trial [48]. However, another recent study demonstrated that tivantinib acts as an antimitotic compound targeting cellular proliferation, and did not suppress MET signaling, in vitro [49]. Thus, it is possible that tivantinib was not targeting the functional effect of MET and was instead targeting an off-target passenger effect of proliferation, leading to the clinical trial failure due to incorrect patient stratification. The importance of determining which biomarkers and gene signatures are associated with oncogenic drivers of tumorigenesis, rather than bystander or passenger effects, cannot be overstated, as evidenced by a number of other Phase III clinical trial failures of targeted HCC therapies that did not lead to improvements in overall survival [50].
Conclusion & future perspective
With the monumental advancements that have already been made since the development of TACE in the 1980s, and continued evolution of the use of TACE in clinical practice, TACE has shown great promise to be an effective, personalized treatment modality for patients with HCC both now and in the future. However, a number improvements could be made to progress the use of TACE in precision oncology efforts, such as changes in current staging systems based on biomarkers and information technology; collection of patient ‘omics’ data for the development of prognostic gene signatures and the development of individualized combination therapies based on tumor features; optimization of the TACE procedure itself including continued clinical trials for promising therapeutic combinations; and advances in imaging and software during and after the procedure (Figure 1). New combination therapies that pair TACE with molecularly targeted therapies based on individualized tumor features, as well as studies to determine biomarkers or gene signatures that can be translated into clinically relevant prognostic devices for predicting TACE response, are two important avenues of study for improvement of patient outcomes with TACE that could be initiated within the next several years. Additionally, focus is likely to be placed on the enhancement and expansion of current staging systems, such as updating guidelines to include new prognostic biomarkers.
Figure 1. . Opportunities for personalized medicine advancements in transarterial chemoembolization use and methodology.
TACE: Transarterial chemoembolization.
As technological advances lead to increased ease and feasibility of collecting ‘omics’ data from individual patients, the search for prognostic biomarkers and gene signatures to predict treatment response is likely to remain a cornerstone of precision oncology. However, while these advances in technology have continued to push the breadth of scientific knowledge forward, finding practical ways to implement seemingly unlimited patient data into clinical practice has lagged behind. Therefore, as technology continues to progress, we speculate that implementation of informational technology systems for predictive, preventive and personalized medicine, which integrates diagnosis and therapy management with IT, is a likely model to bridge the gap between patient data generation and personalized disease treatment, and represents how medicine will be practiced in the future. Informational technology systems for predictive, preventive and personalized medicine focuses on using enhanced IT and modeling techniques to identify optimal treatment modalities for each patient based on their clinical status and pathophysiology [51]. TACE in the era of precision oncology will depend on a collaborative effort from both the scientific and clinical communities, and as accumulation of vast amounts of patient data continues with the use of advanced sequencing techniques, new methodologies that integrate model-based and evidenced-based medicine is a likely direction for the future use of TACE in the management of HCC.
Footnotes
Financial & competing interests disclosure
This work was funded by the Intramural Research Program of NIH, National Cancer Institute and Center for Cancer Research (Z01 BC 010313 and Z01 BC 010877). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
No writing assistance was utilized in the production of this manuscript.
References
Papers of special note have been highlighted as: • of interest; •• of considerable interest
- 1.Venook AP, Papandreou C, Furuse J, De Guevara LL. The incidence and epidemiology of hepatocellular carcinoma: a global and regional perspective. Oncologist. 2010;15(Suppl. 4):5–13. doi: 10.1634/theoncologist.2010-S4-05. [DOI] [PubMed] [Google Scholar]
- 2.European Association for the Study of the Liver, European Organisation for Research and Treatment of Cancer. EASL–EORTC Clinical Practice Guidelines: management of hepatocellular carcinoma. J. Hepatol. 2012;56(4):908–943. doi: 10.1016/j.jhep.2011.12.001. [DOI] [PubMed] [Google Scholar]
- 3.Leung TW, Tang AM, Zee B, et al. Construction of the Chinese University Prognostic Index for hepatocellular carcinoma and comparison with the TNM staging system, the Okuda staging system, and the Cancer of the Liver Italian Program staging system: a study based on 926 patients. Cancer. 2002;94(6):1760–1769. doi: 10.1002/cncr.10384. [DOI] [PubMed] [Google Scholar]
- 4.Kudo M, Chung H, Osaki Y. Prognostic staging system for hepatocellular carcinoma (CLIP score): its value and limitations, and a proposal for a new staging system, the Japan Integrated Staging Score (JIS score) J. Gastroenterol. 2003;38(3):207–215. doi: 10.1007/s005350300038. [DOI] [PubMed] [Google Scholar]
- 5.Kitai S, Kudo M, Minami Y, et al. Validation of a new prognostic staging system for hepatocellular carcinoma: a comparison of the biomarker-combined Japan Integrated Staging Score, the conventional Japan Integrated Staging Score and the BALAD Score. Oncology. 2008;75(Suppl. 1):83–90. doi: 10.1159/000173428. [DOI] [PubMed] [Google Scholar]; • Updated scoring system incorporating prognostic biomarkers.
- 6.Sieghart W, Hucke F, Peck-Radosavljevic M. Transarterial chemoembolization: modalities, indication, and patient selection. J. Hepatol. 2015;62(5):1187–1195. doi: 10.1016/j.jhep.2015.02.010. [DOI] [PubMed] [Google Scholar]
- 7.Yamada R, Nakatsuka H, Nakamura K, et al. Hepatic artery embolization in 32 patients with unresectable hepatoma. Osaka City Med. J. 1980;26(2):81–96. [PubMed] [Google Scholar]; • Original report describing the use of embolization therapies for hepatocellular carcinoma (HCC) treatment.
- 8.Yamada R, Sato M, Kawabata M, Nakatsuka H, Nakamura K, Takashima S. Hepatic artery embolization in 120 patients with unresectable hepatoma. Radiology. 1983;148(2):397–401. doi: 10.1148/radiology.148.2.6306721. [DOI] [PubMed] [Google Scholar]
- 9.Nishikawa H, Kita R, Kimura T, Osaki Y. Transcatheter arterial embolic therapies for hepatocellular carcinoma: a literature review. Anticancer Res. 2014;34(12):6877–6886. [PubMed] [Google Scholar]
- 10.Llovet JM, Real MI, Montana X, et al. Arterial embolisation or chemoembolisation versus symptomatic treatment in patients with unresectable hepatocellular carcinoma: a randomised controlled trial. Lancet. 2002;359(9319):1734–1739. doi: 10.1016/S0140-6736(02)08649-X. [DOI] [PubMed] [Google Scholar]; • One of two studies demonstrating a survival benefit in patients who are treated with transarterial chemoembolization (TACE).
- 11.Lo CM, Ngan H, Tso WK, et al. Randomized controlled trial of transarterial lipiodol chemoembolization for unresectable hepatocellular carcinoma. Hepatology. 2002;35(5):1164–1171. doi: 10.1053/jhep.2002.33156. [DOI] [PubMed] [Google Scholar]; • One of two studies demonstrating a survival benefit in patients who are treated with TACE.
- 12.Sun HC, Tang ZY. Preventive treatments for recurrence after curative resection of hepatocellular carcinoma – a literature review of randomized control trials. World J. Gastroenterol. 2003;9(4):635–640. doi: 10.3748/wjg.v9.i4.635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lencioni R, Petruzzi P, Crocetti L. Chemoembolization of hepatocellular carcinoma. Semin. Intervent. Radiol. 2013;30(1):3–11. doi: 10.1055/s-0033-1333648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lencioni R, Llovet JM, Han G, et al. Sorafenib or placebo plus TACE with doxorubicin-eluting beads for intermediate stage HCC: the SPACE trial. J. Hepatol. 2016;64(5):1090–1098. doi: 10.1016/j.jhep.2016.01.012. [DOI] [PubMed] [Google Scholar]; •• One of two key clinical trials investigating the combination of targeted therapy with TACE.
- 15.Kudo M, Imanaka K, Chida N, et al. Phase III study of sorafenib after transarterial chemoembolisation in Japanese and Korean patients with unresectable hepatocellular carcinoma. Eur. J. Cancer. 2011;47(14):2117–2127. doi: 10.1016/j.ejca.2011.05.007. [DOI] [PubMed] [Google Scholar]; •• One of two key clinical trials investigating the combination of targeted therapy with TACE.
- 16.Kudo M, Han G, Finn RS, et al. Brivanib as adjuvant therapy to transarterial chemoembolization in patients with hepatocellular carcinoma: a randomized Phase III trial. Hepatology. 2014;60(5):1697–1707. doi: 10.1002/hep.27290. [DOI] [PubMed] [Google Scholar]
- 17.Park JW, Cheng AL, Kudo M, et al. A randomized, double-blind, placebo-controlled Phase III trial of TSU-68 (orantinib) combined with transcatheter arterial chemoembolization in patients with unresectable hepatocellular carcinoma. J. Hepatol. 2015;62:S189–S190. [Google Scholar]
- 18.Buijs M, Reyes DK, Pawlik TM, et al. Phase II trial of concurrent bevacizumab and transhepatic arterial chemoembolization in patients with unresectable hepatocellular carcinoma. Cancer. 2013;119(5):1042–1049. doi: 10.1002/cncr.27859. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Britten CD, Gomes AS, Wainberg ZA, et al. Transarterial chemoembolization plus or minus intravenous bevacizumab in the treatment of hepatocellular cancer: a pilot study. BMC Cancer. 2012;12:16. doi: 10.1186/1471-2407-12-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Zamboni CG, Green JJ, Higgins LJ. Local delivery of gene-based therapy for hepatocellular carcinoma: the TACE of the future? Intervent. Oncol. 360. 2015;3(11):E121–E136. [Google Scholar]; • A review of gene-based therapy combined with TACE.
- 21.Zhu K, Dai Z, Zhou J. Biomarkers for hepatocellular carcinoma: progression in early diagnosis, prognosis, and personalized therapy. Biomark. Res. 2013;1(1):10. doi: 10.1186/2050-7771-1-10. [DOI] [PMC free article] [PubMed] [Google Scholar]; • A review of the use of prognostic biomarkers for HCC management.
- 22.Wang Y, Chen Y, Ge N, et al. Prognostic significance of alpha-fetoprotein status in the outcome of hepatocellular carcinoma after treatment of transarterial chemoembolization. Ann. Surg. Oncol. 2012;19(11):3540–3546. doi: 10.1245/s10434-012-2368-5. [DOI] [PubMed] [Google Scholar]
- 23.Scartozzi M, Faloppi L, Bianconi M, et al. The role of LDH serum levels in predicting global outcome in HCC patients undergoing TACE: implications for clinical management. PLoS ONE. 2012;7(3):e32653. doi: 10.1371/journal.pone.0032653. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Poon RT, Lau C, Yu WC, Fan ST, Wong J. High serum levels of vascular endothelial growth factor predict poor response to transarterial chemoembolization in hepatocellular carcinoma: a prospective study. Oncol. Rep. 2004;11(5):1077–1084. [PubMed] [Google Scholar]
- 25.Liu S, Liu Y, Jiang X. Prognostic significance of serum insulin-like growth factor-1 in patients with hepatocellular carcinoma following transarterial chemoembolization. Exp. Ther. Med. 2016;11(2):607–612. doi: 10.3892/etm.2015.2949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Luo Z, Feng C, Hu P, et al. Serum microRNA-199a/b-3p as a predictive biomarker for treatment response in patients with hepatocellular carcinoma undergoing transarterial chemoembolization. Onco Targets Ther. 2016;9:2667–2674. doi: 10.2147/OTT.S98408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Lu YL, Yao JG, Huang XY, et al. Prognostic significance of miR-1268a expression and its beneficial effects for post-operative adjuvant transarterial chemoembolization in hepatocellular carcinoma. Sci. Rep. 2016;6:36104. doi: 10.1038/srep36104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Divella R, Daniele A, Abbate I, et al. Circulating levels of PAI-1 and SERPINE1 4G/4G polymorphism are predictive of poor prognosis in HCC patients undergoing TACE. Transl. Oncol. 2015;8(4):273–278. doi: 10.1016/j.tranon.2015.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Wang Z, Qu K, Huang Z, et al. Glutathione S-transferase O2 gene rs157077 polymorphism predicts response to transarterial chemoembolization in hepatocellular carcinoma. Tumour Biol. 2015;36(8):6463–6469. doi: 10.1007/s13277-015-3336-z. [DOI] [PubMed] [Google Scholar]
- 30.Huang XY, Yao JG, Huang BC, Ma Y, Xia Q, Long XD. Polymorphisms of a disintegrin and metalloproteinase with thrombospondin motifs 5 and aflatoxin B1-related hepatocellular carcinoma. Cancer Epidemiol. Biomarkers Prev. 2016;25(2):334–343. doi: 10.1158/1055-9965.EPI-15-0774. [DOI] [PubMed] [Google Scholar]
- 31.Kohles N, Nagel D, Jungst D, Durner J, Stieber P, Holdenrieder S. Relevance of circulating nucleosomes and oncological biomarkers for predicting response to transarterial chemoembolization therapy in liver cancer patients. BMC Cancer. 2011;11:202. doi: 10.1186/1471-2407-11-202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Liao Y, Wang B, Huang ZL, et al. Increased circulating Th17 cells after transarterial chemoembolization correlate with improved survival in stage III hepatocellular carcinoma: a prospective study. PLoS ONE. 2013;8(4):e60444. doi: 10.1371/journal.pone.0060444. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Huang ZL, Luo J, Chen MS, Li JQ, Shi M. Blood neutrophil-to-lymphocyte ratio predicts survival in patients with unresectable hepatocellular carcinoma undergoing transarterial chemoembolization. J. Vasc. Interv. Radiol. 2011;22(5):702–709. doi: 10.1016/j.jvir.2010.12.041. [DOI] [PubMed] [Google Scholar]
- 34.Riaz A, Ryu RK, Kulik LM, et al. Alpha-fetoprotein response after locoregional therapy for hepatocellular carcinoma: oncologic marker of radiologic response, progression, and survival. J. Clin. Oncol. 2009;27(34):5734–5742. doi: 10.1200/JCO.2009.23.1282. [DOI] [PubMed] [Google Scholar]
- 35.Zheng YB, Meng QW, Zhao W, et al. Prognostic value of serum vascular endothelial growth factor receptor 2 response in patients with hepatocellular carcinoma undergoing transarterial chemoembolization. Med. Oncol. (Northwood, London, England) 2014;31(3):843. doi: 10.1007/s12032-014-0843-5. [DOI] [PubMed] [Google Scholar]
- 36.Park WH, Shim JH, Han SB, et al. Clinical utility of des-gamma-carboxyprothrombin kinetics as a complement to radiologic response in patients with hepatocellular carcinoma undergoing transarterial chemoembolization. J. Vasc. Interv. Radiol. 2012;23(7):927–936. doi: 10.1016/j.jvir.2012.04.021. [DOI] [PubMed] [Google Scholar]
- 37.Wang D, Gaba RC, Jin B, et al. Intraprocedural transcatheter intra-arterial perfusion MRI as a predictor of tumor response to chemoembolization for hepatocellular carcinoma. Acad. Radiol. 2011;18(7):828–836. doi: 10.1016/j.acra.2011.02.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Kamel IR, Liapi E, Reyes DK, Zahurak M, Bluemke DA, Geschwind JF. Unresectable hepatocellular carcinoma: serial early vascular and cellular changes after transarterial chemoembolization as detected with MR imaging. Radiology. 2009;250(2):466–473. doi: 10.1148/radiol.2502072222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Vandecaveye V, Michielsen K, De Keyzer F, et al. Chemoembolization for hepatocellular carcinoma: 1-month response determined with apparent diffusion coefficient is an independent predictor of outcome. Radiology. 2014;270(3):747–757. doi: 10.1148/radiol.13130591. [DOI] [PubMed] [Google Scholar]
- 40.Bonekamp S, Jolepalem P, Lazo M, Gulsun MA, Kiraly AP, Kamel IR. Hepatocellular carcinoma: response to TACE assessed with semiautomated volumetric and functional analysis of diffusion-weighted and contrast-enhanced MR imaging data. Radiology. 2011;260(3):752–761. doi: 10.1148/radiol.11102330. [DOI] [PubMed] [Google Scholar]
- 41.Hoshida Y, Moeini A, Alsinet C, Kojima K, Villanueva A. Gene signatures in the management of hepatocellular carcinoma. Semin. Oncol. 2012;39(4):473–485. doi: 10.1053/j.seminoncol.2012.05.003. [DOI] [PubMed] [Google Scholar]
- 42.Gaba RC, Groth JV, Parvinian A, Guzman G, Casadaban LC. Gene expression in hepatocellular carcinoma: pilot study of potential transarterial chemoembolization response biomarkers. J. Vasc. Interv. Radiol. 2015;26(5):723–732. doi: 10.1016/j.jvir.2014.12.610. [DOI] [PubMed] [Google Scholar]
- 43.Ziv E, Yarmohammadi H, Boas FE, et al. Gene signature associated with upregulation of the Wnt/β-catenin signaling pathway predicts tumor response to transarterial embolization. J. Vasc. Interv. Radiol. 2017;28(3):349–355.e1. doi: 10.1016/j.jvir.2016.11.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Raoul JL, Sangro B, Forner A, et al. Evolving strategies for the management of intermediate-stage hepatocellular carcinoma: available evidence and expert opinion on the use of transarterial chemoembolization. Cancer Treat. Rev. 2011;37(3):212–220. doi: 10.1016/j.ctrv.2010.07.006. [DOI] [PubMed] [Google Scholar]
- 45.Wen CP, Lin J, Yang YC, et al. Hepatocellular carcinoma risk prediction model for the general population: the predictive power of transaminases. J. Natl Cancer Inst. 2012;104(20):1599–1611. doi: 10.1093/jnci/djs372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.White JA, Gray SH, Li P, et al. Current guidelines for chemoembolization for hepatocellular carcinoma: room for improvement? Hepatol. Commun. 2017;1(4):338–346. doi: 10.1002/hep4.1046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Simon RM, Paik S, Hayes DF. Use of archived specimens in evaluation of prognostic and predictive biomarkers. J. Natl Cancer Inst. 2009;101(21):1446–1452. doi: 10.1093/jnci/djp335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Daiichi Sankyo Co. Ltd. ArQuile Inc. Daiichi Sankyo and ArQule announce the completion of the METIV-HCC Phase III study of tivantinib in second-line treatment of MET-overexpressing hepatocellular carcinoma. http://investors.arqule.com/releasedetail.cfm?releaseid=1012374
- 49.Rebouissou S, La Bella T, Rekik S, et al. Proliferation markers are associated with MET expression in hepatocellular carcinoma and predict tivantinib sensitivity in vitro . Clin. Cancer Res. 2017;23(15):4364–4375. doi: 10.1158/1078-0432.CCR-16-3118. [DOI] [PubMed] [Google Scholar]
- 50.Thillai K, Ross P, Sarker D. Molecularly targeted therapy for advanced hepatocellular carcinoma – a drug development crisis? World J. Gastrointest. Oncol. 2016;8(2):173–185. doi: 10.4251/wjgo.v8.i2.173. [DOI] [PMC free article] [PubMed] [Google Scholar]; • A review of recent failures of molecular targeted therapy for HCC.
- 51.Berliner L, Lemke HU, Vansonnenberg E, et al. Model-guided therapy for hepatocellular carcinoma: a role for information technology in predictive, preventive and personalized medicine. EPMA J. 2014;5(1):16. doi: 10.1186/1878-5085-5-16. [DOI] [PMC free article] [PubMed] [Google Scholar]

