Abstract
Background
Early detection of hepatocellular carcinoma (HCC), the most common primary liver malignancy, is crucial to offer patients a potentially curative treatment strategy such as surgical resection or liver transplantation (LT). However, easily accessible biomarkers facilitating an early diagnosis of HCC as well as a reliable risk prediction are currently missing. The microRNA(miR)-107 has recently been described as a driver of HCC in both murine and human HCC but data on circulating miR-107 in HCC patients are scarce. In the present study, we evaluated a potential diagnostic and/or prognostic role of circulating miR-107 in patients undergoing tumor resection or LT for early-stage HCC.
Methods
The Kmplot bioinformatic tool was used to query publicly available databases (including TCGA, GEO and EGA) in order to analyse the prognostic value of tumoral miR-107 expression in HCC patients (n = 372). Serum levels of miR-107 were measured by qPCR in n = 45 HCC patients undergoing surgical tumor resection (n = 37) or LT (n = 8) as well as n = 18 healthy control samples. Results were correlated with clinical data.
Results
A high tumoral expression of miR-107 was associated with a significantly better overall survival compared to patients with low miR-107 expression levels (HR 0.69, 95% CI 0.48–0.99, p = 0.041). In addition, serum levels of miR-107 were significantly higher in HCC patients when compared to healthy controls. However, miR-107 serum levels in HCC patients were independent of different disease etiology, tumor stage or tumor grading. HCC patients with baseline miR-107 expression levels above a calculated ideal prognostic cut-off value (9.82) showed a clear trend towards an impaired overall survival (p = 0.119).
Conclusion
Tumoral miR-107 expression levels are a potential prognostic marker in early stage HCC. Furthermore, we describe a potential role of circulating miR-107 levels as a diagnostic biomarker in patients with early-stage HCC.
Introduction
Hepatocellular carcinoma (HCC) is the most frequent primary malignancy of the liver and has risen to become the fifth most common cancer worldwide. Due to the epidemic spread of its most important risk factors such as non-alcoholic steatohepatitis (NASH) or viral hepatitis infection, its incidence is still increasing [1]. Despite intensive research efforts, the prognosis of HCC patients is still poor and, particularly in advanced disease stages, mortality almost equals incidence. Surgical tumor resection and liver transplantation (LT) represent two standard therapies that can potentially provide cure for HCC patients at early stage (Barcelona Clinic Liver Cancer [BCLC] 0 or A [2]). Thus, early diagnosis of HCC is essential to enable a surgical and thus potentially curative treatment option. Nevertheless, many patients are facing early tumor recurrence and five years after tumor resection only about 30% of patients are still free of disease recurrence [3]. In addition, liver surgery is still associated with severe complications [4]. Therefore, in many patients, it often remains unclear whether they will benefit from surgery or not. In this context, different prognostic algorithms (including imaging modalities, laboratory markers and the ECOG performance status) have been proposed to discriminate between patients who particularly benefit from liver resection or LT and should therefore be allocated to a surgical approach and those who do not [5].
Micro(mi)RNAs represent a class of small RNAs that do not withhold information to encode for proteins but regulate the expression of their target mRNAs both at a posttranscriptional and posttranslational level [6]. Just recently, a strong role of different miRNAs in the pathophysiology of HCC has been established [7–9]. In line, we have recently demonstrated that miR-193a-5p in down regulated in both murine and human HCC, leading to a more aggressive course of disease [10]. Interestingly, the intratumoral down-regulation of miR-193a-5p was associated with elevated serum levels of this miRNAs in HCC patients [11]. Alongside miR-193a-5p, our array-based analysis in mice revealed a down-regulation of miR-107 (personal communication with Dr. Castoldi), which has been shown to be involved in the regulation of glucose homeostasis and insulin sensitivity in the liver [12].
In the present study, we hypothesized that circulating miR-107 levels might also be regulated in HCC and could potentially function as a novel biomarker. To investigate this hypothesis, an exploratory analysis was conducted that aimed at evaluating a potential diagnostic or prognostic function of miR-107 in the serum of HCC patients who underwent surgical treatment (resection or LT) for early disease stage at our tertiary referral hospital between 2011 and 2017.
Patients and methods
Study design
This exploratory observational cohort study was performed to evaluate a potential role of serum miR-107 levels as a diagnostic and/or prognostic biomarker in n = 45 HCC patients undergoing surgical tumor resection (n = 37) or liver transplantation (n = 8) at University Hospital RWTH Aachen. Patients were admitted to the Department of Visceral and Transplantation Surgery at University Hospital RWTH Aachen for HCC tumor resection or LT and consecutively enrolled by physicians into this study between March 2011 and February 2017. The inclusion criteria were: 1. histologically confirmed HCC (after tumor resection or LT), 2. Age >18 years, and 3. serum sample available before tumor resection/LT. The exclusion criteria were: 1. Presence of a second malignancy, 2. Death <72h following surgery due to surgical complications. Demographic details of the study cohort are summarized in Table 1. The decision for or against tumor resection/LT was based on an interdisciplinary tumor board according to internationally recognized standards (e.g. Milan criteria for LT). Blood samples were collected before surgery, centrifuged for 10 min at 2000 g, and serum samples were then stored at −80°C until use. We included a total of n = 18 healthy, cancer-free blood donors with normal values for blood counts, C-reactive protein, kidney and liver function as a control population. The study protocol was approved by the ethics committee of the University Hospital RWTH Aachen, Germany (EK 206/09) and conducted in accordance with the ethical standards laid down in the Declaration of Helsinki. Written informed consent was obtained from every patient.
Table 1. Patient characteristics.
Study cohort | |
---|---|
HCC patients | 45 |
Gender [%]: | |
male-female | 68.9–31.1 |
Age [years, median and range] | 66 [42–82] |
BMI [kg/m2, median and range] | 26.57 [17.67–39.18] |
Cirrhosis [%] | |
Yes | 91.1% |
No | 8.9% |
Surgical treatment [%]: | |
Tumor resection | 82.2 |
Liver transplantation | 17.8 |
HCC etiology: | |
Hepatitis B | 8.9 |
Hepatitis C | 22.2 |
NASH | 15.6 |
Alcoholic | 11.1 |
Others | 42.2 |
T-stage [%]: | |
T1 | 23.5 |
T2 | 47.1 |
T3/4 | 29.4 |
Tumor grading [%]: | |
G1 | 9.4 |
G2 | 71.9 |
G3 | 18.8 |
Resection status [%]: | |
R0 | 87.1 |
R1 | 12.9 |
Tumor size [cm, median and range]: | 4.85 [1.0–24.0] |
ECOG PS [%]: | |
ECOG 0 | 53.3 |
ECOG 1 | 42.2 |
ECOG 2 | 2.2 |
ECOG 3 | 2.2 |
Deceased during follow-up [%]: | |
Yes—No | 71.1–28.9 |
HCC: hepatocellular carcinoma, BMI: body mass index, NASH: non-alcoholic steatohepatitis, ECOG PS: „Eastern Cooperative Oncology Group”performance status.
MiRNA isolation from serum
300μl serum was spiked with miScript miRNA mimic SV40 (Qiagen, Germany) for sample normalization. 600μl peqGOLD TriFast™ (VWR) and 150μl chloroform were added to the sample and mixed vigorously for 15 sec followed by an incubation at room temperature for 10 min. Samples were centrifuged for 15 min at 12,000g until complete phase separation. The aqueous phase, containing total RNA, was precipitated with 375μl 100% isopropanol and 1.5μl glycogen (Fermentas, St. Leonroth, Germany) overnight at -20°C. After centrifugation at 4°C for 30 min (12,000 g) the pellets were washed once with 70% ethanol and centrifugation at 12000 g, 5 min and 4°C. Precipitated RNA was resuspended in 30μl RNase free water.
Quantitative reverse transcriptase PCR (qPCR)
Total RNA was used to synthesize cDNA utilizing miScript Reverse Transcriptase Kit (Qiagen) according to the manufacturer’s protocol, and was resuspended in suitable amounts of H2O. cDNA samples (2 μl) were used for quantitative PCR in a total volume of 25 μl using the miScript SYBR Green PCR Kit (Qiagen) and miRNA specific primers (Qiagen) on a PCR machine (Applied Biosystems 7300 Sequence Detection System, Applied Biosystems, Foster City, CA). Data using the 2-ΔΔCT method were presented as relative gene expression. Data were generated and analyzed using the SDS 2.3 and RQ manager 1.2 software packages (Applied Biosystems).
Statistical analysis
All statistical analyses were performed using SPSS 23 (SPSS, Chicago, IL, USA) and RStudio (v1.2.5033, RStudio, Inc., Boston, MA, USA) [8]. A p-value of < 0.05 was considered statistically significant (* p < 0.05; ** p < 0.01; *** p < 0.001). Shapiro-Wilk-Test was performed to test for normal distribution. Non-parametric data were compared with the Mann-Whitney-U-Test or the Kruskal-Wallis-Test in case of multiple group comparisons. Correlation analyses were performed using the Spearman’s correlation coefficient. ROC curves were generated by plotting the sensitivity against 1-specificity. Optimal cut-off values for ROC curves were calculated with the Youden-Index method (YI = sensitivity + specificity—1). Kaplan-Meier curves display the impact of miR-107 expression levels on overall survival (OS). The Log-rank test was used to test for statistical differences between subgroups. The ideal cut-off value for the identification of patients with an impaired OS was calculated using a univariate binary cox proportional hazard model and testing for the minimum p-value in RStudio.
Results
Tumoral miR-107 expression levels are a prognostic marker for overall survival in HCC patients
The Kmplot bioinformatic tool was used to query publicly available databases (including TCGA, GEO and EGA), with available RNA-seq data of HCC patients [13]. Specifically, Kmplot was used to analyze the prognostic value of miR-107 in n = 372 HCC patients. Kmplot automatically assigned patients to two groups with low (n = 214) and high (n = 158) miR-107 expression (cut off 270.22)Patients with high tumoral expression levels of miR-107 had a significantly better overall survival compared to patients with low levels of miR-107 expression in tumor tissue (HR 0.69, 95% CI 0.48–0.99, p = 0.041). Median overall survival was 83.24 months in the miR-107-high group and 48.99 months in the miR-107-low group (Fig 1).
Baseline characteristics of HCC cohort
Based on the tumoral expression data suggesting a crucial role of miR-107 in HCC, we next aimed at measuring levels of circulating miR-107 in patients with early-stage HCC, representing the patient group being at highest need for the development of markers suitable for early detection of cancer. Between 2011 and 2017, we enclosed a total of n = 45 patients who presented with HCC and were allocated to either tumor resection (n = 37) or liver transplantation (LT, n = 8) [11]. The median age of the study population was 66 years (range: 42–82 years). 68.9% of patients were male and 31.1% female. 91.1% of patients were diagnosed with liver cirrhosis, 8.9% had no cirrhosis. The underlying disease etiology was distributed as follows: 8.9% hepatitis B, 22.2% hepatitis C, 15.6% NASH, 11.1% alcoholic liver disease and 42.2% others. The median HCC tumor size was 4.85 cm. Table 1 provides a detailed characterization of the study population.
Levels of circulating miR-107 are upregulated in HCC patients
In a first step, we compared circulating levels of miR-107 between HCC patients and healthy controls (Fig 2A). Notably, miR-107 serum levels were significantly higher in the HCC patient group, demonstrating a 4.3-fold induction when compared to healthy control samples (median HCC: 3.12, median healthy controls: 0.725, Table 2). Despite this strong elevation, ROC curve analysis revealed an only modest diagnostic potential of elevated serum miR-107 expression levels, showing an AUC value of 0.679 for the discrimination between individuals with HCC and controls (Fig 2B). At the optimal diagnostic cut-off value of 2.63, miR-107 expression levels showed a sensitivity and specificity of 55.6 and 100% regarding the diagnosis of HCC.
Table 2. Serum levels of various laboratory markers.
HCC patients | Healthy controls | |
---|---|---|
median [range] | median [range] | |
rel. miR-107 expression | 3.12 [0.03–79.04] | 0.725 [0.16–2.32] |
Leucocyte count [cells/nl] | 6.6 [3.7–16.5] | - |
Haemoglobin [g/l] | 13.2 [8.5–16.5] | - |
Platelets [cells/nl] | 174.0 [19.0–754.0] | - |
Sodium [mmol/l] | 139.0 [126.0–144.0] | - |
Potassium [mmol/l] | 4.4 [3.3–5.9] | - |
Bilirubin [mg/dl] | 0.71 [0.26–3.60] | - |
AST [U/l] | 48.0 [19.0–439.0] | - |
ALT [U/l] | 31.0 [7.0–168.0] | - |
GGT [U/l] | 145.0 [27.0–794.0] | - |
ALP [U/l] | 108.5 [61.0–371.0] | - |
Creatinine [mg/dl] | 0.93 [0.46–2.18] | - |
CRP [mg/l] | 6.70 [0–162.6] | - |
AFP [μg/l] | 17.6 [2.0–55,368.0] | - |
miR: microRNA, AST: aspartate transaminase, ALT: alanine transaminase, GGT: γ-Glutamyl transpeptidase, ALP: alkaline phosphatase, CRP: C-reactive protein, AFP: alpha-fetoprotein.
Serum miR-107 levels do not correlate with patients’ characteristics
In order to understand the mechanism regulating miR-107 serum concentrations in patients with early-stage HCC, we next compared concentrations between different subgroups of patients. However, serum expression levels of miR-107 were independent of the underlying liver disease since patients with hepatitis B or C virus infection displayed almost identical levels of miR-107 compared to those with NASH or those with alcoholic hepatitis (Fig 3A). Moreover, neither the specific tumor stage according to the TNM classification (Fig 3B), nor the tumor grading (Fig 3C) had an influence on circulating miR-107 levels. Of note, these findings were supported by the fact that the resection status (resected patients only, Fig 3D), the patient’s sex (Fig 3E), the ECOG performance status (Fig 3F) and the tumor size (Fig 3G) did not affect serum levels of miR-107.
To get a deeper insight into the regulation of circulating miR-107, we next performed correlation analyses between miR-107 concentrations and laboratory parameters routinely used in patients with HCC and/ or liver cirrhosis. However, we did not observe a significant correlation between serum miR-107 levels and parameters of liver dysfunction (bilirubin, AST, ALT, GGT, ALP), systemic inflammation (leucocyte count and CRP), renal dysfunction (creatinine), established HCC tumor markers (AFP) as well as hemoglobin and the platelet count (Table 3).
Table 3. Correlation analysis between miR-107 expression levels and various laboratory markers.
Parameter | Correlation coefficient (rS) | p-value |
---|---|---|
AST | 0.017 | 0.911 |
ALT | -0.146 | 0.459 |
Bilirubin | -0.178 | 0.243 |
GGT | 0.165 | 0.295 |
ALP | 0.055 | 0.738 |
AFP | -0.135 | 0.510 |
Sodium | 0.002 | 0.991 |
Potassium | 0.089 | 0.561 |
Calcium | -0.056 | 0.717 |
Hemoglobin | -0.109 | 0.474 |
Leucocytes | -0.120 | 0.341 |
Platelets | 0.108 | 0.479 |
CRP | 0.255 | 0.103 |
Creatine | -0.085 | 0.579 |
AST: aspartate transaminase, ALT: alanine transaminase, GGT: γ-Glutamyl transpeptidase, ALP: alkaline phosphatase, AFP: alpha-fetoprotein, CRP: C-reactive protein.
Serum miR-107 levels are unsuitable to predict outcome in resectable HCC
Different circulating miRNAs recently turned out as prognostic markers for HCC [14]. Based on these findings as well as on our own data indicating a role of miR-107 in the pathophysiology of HCC (Fig 1), we hypothesized that expression levels of circulating miR-107 might also be indicative for the patient’s outcome following surgical therapy. We used Kaplan-Meier curve analysis to compare the overall survival (OS) of patients with elevated levels of circulating miR-107 (above the median of all patients) and those with low miR-107 levels. Interestingly, both groups demonstrated a comparable OS (Fig 4A). As the median might not be the optimal cut-off for the discrimination between patients with a favorable/unfavorable prognosis, we aimed at establishing a statistically optimal prognostic cut-off value by using a univariate binary cox proportional hazard model and testing for the minimum p-value as recently described [11]. By applying this cut-off value (9.82 relative units), we observed a strong trend towards an impaired survival in patients with miR-107 levels > 9.82, however the difference failed statistical significance (p = 0.119). Notably, median OS was only 300 days for the subgroup of patients showing high miR-107 concentrations compared to 707 days in those patients with low miR-107 levels (Fig 4B). In univariate Cox-regression analysis, miR-107 expression levels showed a HR or 1.023 (0.995–1.051, p = 0.105) for the prediction of OS.
Discussion
In the present study, we demonstrate that tumoral miR-107 expression levels are a predictive marker for overall survival in unselected HCC patients. Increased expression levels indicate a significantly improved prognosis, while low expression levels in the tumor tissue are associated with a statistically significant reduced overall survival compared. Tumoral miR-107 expression in human seems to differ from mice (personal communication with Dr. Castoldi). Differences in tumoral miR-107 expression could be explained by the different role of the transcription factor PPARalpha in mice and human, which is suggested to play a role in the miR-107 transcription [15]. While PPARalpha activators in mice seem to promote hepatocarcinogenesis this seems to be not the case in human [16, 17].
In line with our data, it was recently shown that increased serum levels of miR-107 indicate response to TACE treatment [18]. In this study, several miRNAs were investigated for their potential to predict outcome to TACE treatment. Beside the prognostic value of expression levels in the tumor tissue itself, miR-107 serum levels were described as a potential prognostic marker for therapy response. Furthermore, as well consistent with our data, increased miR-107 serum levels were detected in patients with resectable but also advanced HCC in a Chinese cohort [19]. Especially in combination with two other miRNA (miR-92a-3p and miR-3126-5p), a good prognostic value for the diagnosis of HCC of all stages was found. Therefore, we aimed at investigating whether serum levels of miR-107 might be useful as a diagnostic or prognostic marker in early-stage HCC Caucasian patients. In our cohort, miR-107 serum levels were significantly higher in patients with resectable HCC compared to healthy controls. The elevation was independent of the underlying liver disease, making miR-107 a potential valuable marker for general HCC screening and diagnosis in early HCC stage. Also, the tumor grading had no significant influence on the level increase, suggesting that miR-107 might be suitable to detect even highly differentiated tumors, representing a major challenging in screening of patients with liver cirrhosis. We next analyzed whether, along with its role as a diagnostic marker in HCC, miR-107 levels could also be used as a prognostic marker in HCC. However, we found no significant difference in overall survival between patients with low or high miR-107 serum levels in our cohort. However, in our study only patients with potentially curable tumor disease were included. This could be an explanation for the divergent results in serum compared to the tissue tests. Further investigations with HCC patients in non-curative stages and locally advanced or metastatic disease are necessary to clarify this question. Importantly, expression analysis of miR-107 in tumor tissue and serum were performed in two different cohorts of HCC patients and we were thus unable to evaluate a direct correlation of miR-107 expression levels.
Early detection of HCC in patients with liver cirrhosis is important to offer a surgical and thus potentially curative treatment to these patients. Although there have been controversial studies on screening for HCC in recent years [20], screening examinations for HCC are still firmly established in the major guidelines of the various professional societies. For this purpose, 6-month sonography of the liver is of particular importance. However, the additional benefit of biomarker testing is controversially discussed. The obligatory additional AFP measurement was recently no longer recommended in some major HCC guidelines [5], as the additional benefit of AFP measurement was evaluated differently in several studies. However, a recent meta-analysis of HCC surveillance, which included a total of 32 studies involving 13,367 patients, suggests an additional AFP measurement to the ultrasound examination. Ultrasound alone had a lower sensitivity of 45% for HCC detection than the combination with AFP determination at 63% (relative risk 0.88; 95% CI 0.83–0.93 for all stages, early-stage RR 0.81; 95% CI 0.71–0.93) [21]. These uncertainties in HCC screening have therefore fueled the search for new and better biomarkers or the combination of these to optimize HCC monitoring. For example, the GALAD-Score was established, which determines the HCC risk by patient age, gender and the biomarkers -fetoprotein (AFP), AFP isoform L3 (AFP-L3) and des-gamma-carboxy prothrombin (DCP). The overall sensitivity and specificity of this test procedure was significantly better than the AFP determination alone [22]. One might hypothesize that including additional markers, such as miRNA might further increase the value of this test. In particular as several miRNA were proven suitability for HCC screening [23].
In recent years, the potential of miRNA for diagnostics but also for estimating prognosis in HCC has been discovered. In particular, the focus has been on alterations of the expression of certain miRNAs in the tumor tissue itself. High expression of miR-32 in HCC tissue was identified as a negative prognostic marker. Patients with high expression of miR-32 in tumor tissue had significantly worse PFS and OS comparted to patients with low expression levels [24]. A similar situation has been shown for miR-221. Again, increased expression levels in the tumor seem to be associated with a poorer prognosis [25]. In contrast, downregulation of miR-33a in tumor tissue seems to be a negative prognostic factor for HCC [26]. Different miRNAs were also investigated as diagnostic biomarkers for HCC in the screening. In patients with chronic hepatitis B or C, microRNA-139 was found to be decreased in HCC [27, 28]. There are different results for mircoRNA-182. On the one hand an increased risk of HCC in case of upregulation was described, on the other hand a significant downregulation of the same miRNA in HCC patients with chronic hepatitis C [29, 30]. Other microRNAs such as miR-150, miR-331-3p or miR-193 were suggested being diagnostic markers or markers for the prediction of disease progression [11, 27, 29]. It should be noted that miRNA expression in tumor tissue is often used as diagnostic or prognostic marker. This is certainly more difficult to practice in clinical routine than the determination of serum levels. This could be an advantage of miR-107 determination in serum. With miR-107, we investigated a new candidate with similar sensitivity than other biomarkers but very high specificity for HCC screening especially in patients with still resectable HCC. It is important to investigate the value of this candidate as the only screening parameter or in combination with other miRNAs or biomarkers. This could lead to a new screening score for HCC in cirrhotic or non-cirrhotic patients with high-risk constellation for the HCC development. Furthermore, miR-107 is already elevated in early-stage HCC, making it valuable for screening. For its prognostic potential in HCC, it might share the same problem than other miRNAs. As for miR-32 or miR-221, at present also for miR-107 tumor tissue is needed to be able to use it as a prognostic marker. Serum levels–at least in early-stage HCC–seem to not mirror the prognosis of the disease in a sufficient manner.
The common limitation of all novel biomarkers—including miR-107—is certainly the lack of broad availability and sometimes complicated testing. There is also no meaningful data on cost efficiency. Further investigations are therefore necessary for a general recommendation for screening, diagnostics or prognosis. As noted, further studies with miR-107 serum levels in later stage HCC patients are important for the evaluation of this marker as a diagnostic and maybe also prognostic tool.
Data Availability
Data included into this analysis represent highly sensitive medical data. It is directly against German (and European) law to publish such data in a way that would allow identifying individual patients (e.g. by providing different clinical values of one distinct patient). Data are available upon request from the Department of Gastroenterology, Hepatology and Infectious Diseases of the University Hospital Düsseldorf for researchers who meet the criteria for access to confidential data: Wissenschaft.Gastro@med.uni-duesseldorf.de.
Funding Statement
Work in the lab of T.L. was funded from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program through the ERC Consolidator Grant PhaseControl (Grant Agreement n° 771083). The lab of T.L. was further supported by the German Cancer Aid (Deutsche Krebshilfe 110043 and a Mildred-Scheel-Professorship), the German-Research-Foundation (SFB-TRR57/P06 and LU 1360/3-1), the Ernst-Jung-Foundation Hamburg, the IZKF (interdisciplinary centre of clinical research) Aachen and a grant from the medical faculty of the RWTH Aachen, and from a German-Research-Foundation grant (DFG, CA830-1/3) to M.C. and T.L.
References
- 1.Stras W, Malkowski P, Tronina O. Hepatocellular carcinoma in patients with non-alcoholic steatohepatitis—epidemiology, risk factors, clinical implications and treatment. Clin Exp Hepatol. 2020;6(3):170–5. Epub 2020/11/05. 10.5114/ceh.2020.99506 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Feng M, Pan Y, Kong R, Shu S. Therapy of Primary Liver Cancer. Innovation (N Y). 2020;1(2):100032. Epub 2020/09/12. 10.1016/j.xinn.2020.100032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Bruix J, Takayama T, Mazzaferro V, Chau GY, Yang J, Kudo M, et al. Adjuvant sorafenib for hepatocellular carcinoma after resection or ablation (STORM): a phase 3, randomised, double-blind, placebo-controlled trial. Lancet Oncol. 2015;16(13):1344–54. Epub 2015/09/13. 10.1016/S1470-2045(15)00198-9 . [DOI] [PubMed] [Google Scholar]
- 4.Hester CA, Yopp AC. Surgical Therapies in Hepatocellular Carcinoma. In: Hoshida Y, editor. Hepatocellular Carcinoma: Translational Precision Medicine Approaches. Cham; (CH) 2019. p. 145–67. [Google Scholar]
- 5.European Association for the Study of the Liver. Electronic address eee, European Association for the Study of the L. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma. J Hepatol. 2018;69(1):182–236. Epub 2018/04/10. 10.1016/j.jhep.2018.03.019 . [DOI] [PubMed] [Google Scholar]
- 6.Bracken CP, Scott HS, Goodall GJ. A network-biology perspective of microRNA function and dysfunction in cancer. Nat Rev Genet. 2016;17(12):719–32. Epub 2016/11/01. 10.1038/nrg.2016.134 . [DOI] [PubMed] [Google Scholar]
- 7.Schueller F, Roy S, Vucur M, Trautwein C, Luedde T, Roderburg C. The Role of miRNAs in the Pathophysiology of Liver Diseases and Toxicity. Int J Mol Sci. 2018;19(1). Epub 2018/01/18. 10.3390/ijms19010261 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Oura K, Morishita A, Masaki T. Molecular and Functional Roles of MicroRNAs in the Progression of Hepatocellular Carcinoma-A Review. Int J Mol Sci. 2020;21(21). Epub 2020/11/12. 10.3390/ijms21218362 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Uchida S, Kauppinen S. Long Non-Coding RNAs in Liver Cancer and Nonalcoholic Steatohepatitis. Noncoding RNA. 2020;6(3). Epub 2020/09/03. 10.3390/ncrna6030034 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Roy S, Hooiveld GJ, Seehawer M, Caruso S, Heinzmann F, Schneider AT, et al. microRNA 193a-5p Regulates Levels of Nucleolar- and Spindle-Associated Protein 1 to Suppress Hepatocarcinogenesis. Gastroenterology. 2018;155(6):1951–66 e26. Epub 2018/08/31. 10.1053/j.gastro.2018.08.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Loosen SH, Wirtz TH, Roy S, Vucur M, Castoldi M, Schneider AT, et al. Circulating levels of microRNA193a-5p predict outcome in early stage hepatocellular carcinoma. PLoS One. 2020;15(9):e0239386. Epub 2020/09/23. 10.1371/journal.pone.0239386 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Trajkovski M, Hausser J, Soutschek J, Bhat B, Akin A, Zavolan M, et al. MicroRNAs 103 and 107 regulate insulin sensitivity. Nature. 2011;474(7353):649–53. Epub 2011/06/10. 10.1038/nature10112 . [DOI] [PubMed] [Google Scholar]
- 13.Nagy A, Lanczky A, Menyhart O, Gyorffy B. Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets. Sci Rep. 2018;8(1):9227. Epub 2018/06/17. 10.1038/s41598-018-27521-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Loosen SH, Schueller F, Trautwein C, Roy S, Roderburg C. Role of circulating microRNAs in liver diseases. World J Hepatol. 2017;9(12):586–94. Epub 2017/05/19. 10.4254/wjh.v9.i12.586 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Daimiel-Ruiz L, Klett-Mingo M, Konstantinidou V, Mico V, Aranda JF, Garcia B, et al. Dietary lipids modulate the expression of miR-107, an miRNA that regulates the circadian system. Mol Nutr Food Res. 2015;59(3):552–65. Epub 2014/12/19. 10.1002/mnfr.201400616 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Corton JC, Peters JM, Klaunig JE. The PPARalpha-dependent rodent liver tumor response is not relevant to humans: addressing misconceptions. Arch Toxicol. 2018;92(1):83–119. Epub 2017/12/05. 10.1007/s00204-017-2094-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Peters JM, Cheung C, Gonzalez FJ. Peroxisome proliferator-activated receptor-alpha and liver cancer: where do we stand? J Mol Med (Berl). 2005;83(10):774–85. Epub 2005/06/25. 10.1007/s00109-005-0678-9 . [DOI] [PubMed] [Google Scholar]
- 18.Ali HEA, Emam AA, Zeeneldin AA, Srour R, Tabashy R, El-Desouky ED, et al. Circulating miR-26a, miR-106b, miR-107 and miR-133b stratify hepatocellular carcinoma patients according to their response to transarterial chemoembolization. Clin Biochem. 2019;65:45–52. Epub 2019/01/18. 10.1016/j.clinbiochem.2019.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Zhang Y, Li T, Qiu Y, Zhang T, Guo P, Ma X, et al. Serum microRNA panel for early diagnosis of the onset of hepatocellular carcinoma. Medicine (Baltimore). 2017;96(2):e5642. Epub 2017/01/13. 10.1097/MD.0000000000005642 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Moon AM, Weiss NS, Beste LA, Su F, Ho SB, Jin GY, et al. No Association Between Screening for Hepatocellular Carcinoma and Reduced Cancer-Related Mortality in Patients With Cirrhosis. Gastroenterology. 2018;155(4):1128–39 e6. Epub 2018/07/10. 10.1053/j.gastro.2018.06.079 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Tzartzeva K, Obi J, Rich NE, Parikh ND, Marrero JA, Yopp A, et al. Surveillance Imaging and Alpha Fetoprotein for Early Detection of Hepatocellular Carcinoma in Patients With Cirrhosis: A Meta-analysis. Gastroenterology. 2018;154(6):1706–18 e1. Epub 2018/02/10. 10.1053/j.gastro.2018.01.064 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Best J, Bechmann LP, Sowa JP, Sydor S, Dechene A, Pflanz K, et al. GALAD Score Detects Early Hepatocellular Carcinoma in an International Cohort of Patients With Nonalcoholic Steatohepatitis. Clin Gastroenterol Hepatol. 2020;18(3):728–35 e4. Epub 2019/11/13. 10.1016/j.cgh.2019.11.012 . [DOI] [PubMed] [Google Scholar]
- 23.Tsuchiya N, Sawada Y, Endo I, Saito K, Uemura Y, Nakatsura T. Biomarkers for the early diagnosis of hepatocellular carcinoma. World J Gastroenterol. 2015;21(37):10573–83. Epub 2015/10/13. 10.3748/wjg.v21.i37.10573 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Yang H, Li Y, Zhong X, Luo P, Luo P, Sun R, et al. Upregulation of microRNA-32 is associated with tumorigenesis and poor prognosis in patients with hepatocellular carcinoma. Oncol Lett. 2018;15(4):4097–104. Epub 2018/03/16. 10.3892/ol.2018.7879 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Chen F, Li XF, Fu DS, Huang JG, Yang SE. Clinical potential of miRNA-221 as a novel prognostic biomarker for hepatocellular carcinoma. Cancer Biomark. 2017;18(2):209–14. Epub 2016/12/17. 10.3233/CBM-161671 . [DOI] [PubMed] [Google Scholar]
- 26.Xie RT, Cong XL, Zhong XM, Luo P, Yang HQ, Lu GX, et al. MicroRNA-33a downregulation is associated with tumorigenesis and poor prognosis in patients with hepatocellular carcinoma. Oncol Lett. 2018;15(4):4571–7. Epub 2018/03/16. 10.3892/ol.2018.7892 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Li T, Yin J, Yuan L, Wang S, Yang L, Du X, et al. Downregulation of microRNA-139 is associated with hepatocellular carcinoma risk and short-term survival. Oncol Rep. 2014;31(4):1699–706. Epub 2014/02/20. 10.3892/or.2014.3032 . [DOI] [PubMed] [Google Scholar]
- 28.Mourad L, El-Ahwany E, Zoheiry M, Abu-Taleb H, Hassan M, Ouf A, et al. Expression analysis of liver-specific circulating microRNAs in HCV-induced hepatocellular Carcinoma in Egyptian patients. Cancer Biol Ther. 2018;19(5):400–6. Epub 2018/01/16. 10.1080/15384047.2018.1423922 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Chen L, Chu F, Cao Y, Shao J, Wang F. Serum miR-182 and miR-331-3p as diagnostic and prognostic markers in patients with hepatocellular carcinoma. Tumour Biol. 2015;36(10):7439–47. Epub 2015/04/24. 10.1007/s13277-015-3430-2 . [DOI] [PubMed] [Google Scholar]
- 30.Shaheen NMH, Zayed N, Riad NM, Tamim HH, Shahin RMH, Labib DA, et al. Role of circulating miR-182 and miR-150 as biomarkers for cirrhosis and hepatocellular carcinoma post HCV infection in Egyptian patients. Virus Res. 2018;255:77–84. Epub 2018/07/14. 10.1016/j.virusres.2018.07.004 . [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data included into this analysis represent highly sensitive medical data. It is directly against German (and European) law to publish such data in a way that would allow identifying individual patients (e.g. by providing different clinical values of one distinct patient). Data are available upon request from the Department of Gastroenterology, Hepatology and Infectious Diseases of the University Hospital Düsseldorf for researchers who meet the criteria for access to confidential data: Wissenschaft.Gastro@med.uni-duesseldorf.de.