Single-cell tumor heterogeneity landscape of hepatocellular carcinoma: unraveling the pro-metastatic subtype and its interaction loop with fibroblasts.

BACKGROUND: Tumor heterogeneity presents a formidable challenge in understanding the mechanisms driving tumor progression and metastasis. The heterogeneity of hepatocellular carcinoma (HCC) in cellular level is not clear. METHODS: Integration analysis of single-cell RNA sequencing data and spatial transcriptomics data was performed. Multiple methods were applied to investigate the subtype of HCC tumor cells. The functional characteristics, translation factors, clinical implications and microenvironment associations of different subtypes of tumor cells were analyzed. The interaction of subtype and fibroblasts were analyzed. RESULTS: We established a heterogeneity landscape of HCC malignant cells by integrated 52 single-cell RNA sequencing data and 5 spatial transcriptomics data. We identified three subtypes in tumor cells, including ARG1+ metabolism subtype (Metab-subtype), TOP2A+ proliferation phenotype (Prol-phenotype), and S100A6+ pro-metastatic subtype (EMT-subtype). Enrichment analysis found that the three subtypes harbored different features, that is metabolism, proliferating, and epithelial-mesenchymal transition. Trajectory analysis revealed that both Metab-subtype and EMT-subtype originated from the Prol-phenotype. Translation factor analysis found that EMT-subtype showed exclusive activation of SMAD3 and TGF-ß signaling pathway. HCC dominated by EMT-subtype cells harbored an unfavorable prognosis and a deserted microenvironment. We uncovered a positive loop between tumor cells and fibroblasts mediated by SPP1-CD44 and CCN2/TGF-ß-TGFBR1 interaction pairs. Inhibiting CCN2 disrupted the loop, mitigated the transformation to EMT-subtype, and suppressed metastasis. CONCLUSION: By establishing a heterogeneity landscape of malignant cells, we identified a three-subtype classification in HCC. Among them, S100A6+ tumor cells play a crucial role in metastasis. Targeting the feedback loop between tumor cells and fibroblasts is a promising anti-metastatic strategy.

An SCD1-dependent mechanoresponsive pathway promotes HCC invasion and metastasis through lipid metabolic reprogramming.

Matrix stiffness promotes hepatocellular carcinoma (HCC) metastasis. This study examined the contribution of lipid metabolic reprogramming to matrix stiffness-induced HCC metastasis. HCC cells were cultured on mechanically tunable polyacrylamide gels and subjected to lipidomic analysis. The key enzyme that responded to matrix stiffness and regulated lipid metabolism was identified. The comparative lipidomic screening revealed that stearoyl-CoA desaturase 1 (SCD1) is a mechanoresponsive enzyme that reprogrammed HCC cell lipid metabolism. The genetic and pharmacological inhibition of SCD1 expression/activity altered the cellular lipid composition, which in turn impaired plasma membrane fluidity and inhibited in vitro invasive motility of HCC cells in response to high matrix stiffness. Knockdown of SCD1 suppressed HCC invasion and metastasis in vivo. Conversely, the overexpression of SCD1 or exogenous administration of its product oleic acid augmented plasma membrane fluidity and rescued in vitro invasive migration in HCC cells cultured on soft substrates, mimicking the effects imposed by high matrix stiffness. In human HCC tissues, collagen content, a marker of increasing matrix stiffness, and increased expression of SCD1 together predicted poor survival of HCC patients. An SCD1-dependent mechanoresponsive pathway that responds to increasing matrix stiffness in the tumor microenvironment promotes HCC invasion and metastasis through lipid metabolic reprogramming.

Hsa_circ_0003945 promotes progression of hepatocellular carcinoma by mediating miR-34c-5p/LGR4/ß-catenin axis activity.

Accumulating evidence suggests that circular RNAs (circRNAs) play essential roles in regulating cancer progression, but many circRNAs in hepatocellular carcinoma (HCC) remain unknown. Dysregulated circRNAs in HCC were identified through bioinformatics analysis of Gene Expression Omnibus data sets. Quantitative real-time PCR (qRT-PCR), Sanger sequencing, RNase R digestion and actinomycin D treatment were conducted to confirm the characterization of circRNAs. CCK-8, wound-healing and Transwell assays were performed to assess the functional roles of Hsa_circ_0003945 (Circ_0003945) in HCC cell lines. Subcellular fractionation and fluorescence in situ hybridization (FISH) were performed to locate Circ_0003945 in HCC cells. Dual-luciferase reporter assay was executed to verify the binding of Circ_0003945 to microRNAs (miRNAs) or the miRNAs to their target genes. In this study, we found that Circ_0003945 was upregulated in HCC tissue, and higher Circ_0003945 expression was positively correlated with tumour size and tumour stage. Furthermore, high plasma levels of circulating Circ_0003945 were confirmed in HCC patients compared with those in non-HCC groups. The functional experiments revealed that overexpression or knockdown of Circ_0003945 promoted or attenuated tumour growth and migration, respectively. Mechanistically, Circ_0003945 might exert as a miR-34c-5p sponge to upregulate the expression of leucine-rich repeat-containing G protein-coupled receptor 4 (LGR4), activating the ß-catenin pathway, and finally facilitating HCC progression. Additionally, a ß-catenin activator could reverse the effect of Circ_0003945 knockdown. In conclusion, Circ_0003945 exerts a tumour-promoting role in HCC cells by regulating the miR-34c-5p/LGR4/ß-catenin axis, which may be a potential target for HCC therapy.

Exosomal microRNAs in the DLK1-DIO3 imprinted region derived from cancer-associated fibroblasts promote progression of hepatocellular carcinoma by targeting hedgehog interacting protein.

BACKGROUND: Hepatocellular carcinoma (HCC) is the sixth most commonly diagnosed cancer and third leading cause of cancer-related death worldwide in 2020. Exosomes derived from cancer-associated fibroblasts (CAFs-exo) can promote tumor progression in various human cancers. However, the underlying regulatory mechanism controlling how CAFs-exo can promote HCC progression remains poorly understood. METHODS: CAFs and para-cancer fibroblasts (PAFs) were isolated from HCC tissues and corresponding para-cancer tissues, then were cultured in vitro. CAFs and PAFs were characterized by immunofluorescence and western blot (WB) assays. Exosomes were isolated by ultracentrifugation, and characterized by transmission electron microscopy, nanoflow cytometry, and WB assay. The internalization of exosomes by HCC cells was observed under a fluorescence microscope. Cell Counting Kit-8 (CCK-8) assay was used to evaluate cell proliferation. Wound healing and transwell assays were used for migration and invasion experiments. RT-PCR assay was used to examine differentially expressed microRNAs (miRNAs) in exosomes and HCC cells. The TargetScan database was used to predict miRNA target genes. Hedgehog interacting protein (HHIP) expression analysis, prognostic analysis, and enrichment analysis of HHIP-related co-expressed genes were performed using the TIMER, UALCAN, Kaplan-Meier plotter, and LinkedOmics databases. RESULTS: CAFs-exo were internalized by HCC cells. CAFs-exo contributed to the aggressive phenotype of HCC cells, while inhibiting exosome secretion reversed these effects. Mechanistically, miRNAs in the DLK1-DIO3 imprinted region (miR-329-3p, miR-380-3p, miR-410-5p, miR-431-5p) were increased in HCC cells co-cultured with CAFs-exo compared with PAFs-exo. Expression of HHIP, a possible miR-431-5p target gene, was significantly downregulated in HCC cells. Low HHIP expression level in tumor tissues could predict poor prognosis in HCC patients. HHIP-related co-expressed genes were mainly associated with cell adhesion molecules. CONCLUSIONS: CAFs-exo can promote HCC progression by delivering miRNAs in the DLK1-DIO3 imprinted region to HCC cells, subsequently inhibiting HHIP expression. HHIP is a potential prognostic biomarker in HCC.

High serum soluble CD155 level predicts poor prognosis and correlates with an immunosuppressive tumor microenvironment in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most prevalent malignancies with poor prognosis. There is no research about the clinical significance of serum soluble CD155 (sCD155) level for HCC. We aim to explore the prognostic and diagnostic value of sCD155 in HCC patients undergoing curative resection. METHODS: Serum sCD155 level in HCC patients was determined by enzyme-linked immunosorbent assay. The prognostic significance of sCD155 was evaluated by Cox regression and Kaplan-Meier analyses. CD155 expression and biomarkers of immune cells in HCC tissues were detected by immunohistochemistry staining. The diagnostic significance of sCD155 was evaluated using receiver operating characteristic curve. RESULTS: Serum sCD155 level was significantly increased in HCC patients and predicted poor prognosis. The prognostic value of sCD155 remained in low recurrent risk subgroups of HCC. Serum sCD155 level was positively related to CD155 expression in HCC tissues. High serum sCD155 level was associated with decreased numbers of CD8+ T cells and CD56+ NK cells and increased number of CD163+ M2 macrophages. Serum sCD155 level had better performance in distinguishing HCC patients from healthy donors and patients with chronic liver conditions than α-fetoprotein. Among patients with α-fetoprotein ≤ 20 ng/ml, serum sCD155 level could differentiate HCC patients from non-HCC patients. CONCLUSION: Serum sCD155 level represents a promising biomarker for diagnosis and prognosis of HCC. High serum sCD155 level may reflect an immunosuppressive tumor microenvironment in HCC.

Detection of circulating tumour cells enables early recurrence prediction in hepatocellular carcinoma patients undergoing liver transplantation.

BACKGROUND & AIMS: Liver transplantation (LTx) is one of the most effective treatments for hepatocellular carcinoma (HCC); however, tumour recurrence after LTx often leads to poor outcomes. This study investigated the value of circulating tumour cells (CTCs) as a predictor of recurrence following LTx in patients with HCC. METHODS: This analysis included 193 patients with HCC who underwent LTx at our institute and accepted pre- and post-operative CTC detection; 38 were selected for serial CTC monitoring. The predictive value of CTCs for tumour recurrence in patients with HCC following LTx was evaluated. Single-cell whole genome sequencing was used to characterize CTCs. RESULTS: Overall, the CTC burden decreased after LTx (P < .05). Post-operative CTC count ≥ 1 per 5 mL peripheral blood was identified as a potential biomarker for predicting tumour recurrence after LTx, especially in patients with no detectable CTCs prior to LTx and negative tumour serological biomarkers. The predictive value of post-operative CTC count ≥ 1 per 5 mL blood was retained in patients who did not meet the Milan criteria, University of California San Francisco (UCSF) criteria, or Fudan criteria (all P < .05). Furthermore, post-operative serial CTC detection may be useful in post-surgical surveillance for HCC recurrence. CONCLUSIONS: CTCs may be a useful biomarker to evaluate recurrence risk following LTx in patients with HCC. Evaluation based on CTC detection may enhance the post-transplant management of HCC, and improve the therapeutic efficacy of LTx.

Establishment of a hepatocellular carcinoma patient-derived xenograft platform and its application in biomarker identification.

Using a method optimized in hepatocellular carcinoma (HCC), we established patient-derived xenograft (PDX) models with an increased take rate (42.2%) and demonstrated that FBS +10% dimethyl sulfoxide exhibited the highest tumor take rate efficacy. Among 254 HCC patients, 103 stably transplantable xenograft lines that could be serially passaged, cryopreserved and revived were established. These lines maintained the diversity of HCC and the essential features of the original specimens at the histological, transcriptome, proteomic and genomic levels. Tumor engraftment was associated with lack of encapsulation, poor tumor differentiation, large size and overexpression of cancer stem cell biomarkers, and was an independent predictor for overall survival and tumor recurrence after resection. To confirm the preclinical value of the PDX model in HCC treatment, several antitumor agents were tested in 16 selected PDX models. The results revealed a high degree of pharmacologic heterogeneity in the cohort, as well as heterogeneity to different agents in the same individual. The sorafenib responses observed between HCC patients and the corresponding PDXs were also consistent. After molecular characterization of the PDX models, we explored the predictive markers for sorafenib response and found that mitogen-activated protein kinase kinase kinase 1 (MAP3K1) might play an important role in sorafenib resistance and sorafenib response is impaired in patients with MAP3K1 downexpression. Our results indicated that PDX models could accurately reproduce patient tumors biology and could aid in the discovery of new treatments to advance in precision medicine.

A Positive Feedback Loop Between Cancer Stem-Like Cells and Tumor-Associated Neutrophils Controls Hepatocellular Carcinoma Progression.

Tumor-associated neutrophils (TANs) play a crucial role in tumor development and progression in the cancer microenvironment. Despite increased understanding of TAN contributions to hepatocellular carcinoma (HCC) progression and prognosis, the direct interaction between TANs and HCC cells is not fully understood. In this study, we tested the effect of TANs on HCC cells in vitro and in vivo and investigated the mechanism of interaction between them. Our results showed that TANs secreted bone morphogenetic protein 2 and transforming growth factor beta 2 and triggered microRNA 301b-3p (miR-301-3p) expression in HCC cells, subsequently suppressed gene expression of limbic system-associated membrane protein (LSAMP) and CYLD lysine 63 deubiquitinase (CYLD), and increased stem cell characteristics in HCC cells. These TAN-induced HCC stem-like cells were hyperactive in nuclear factor kappa B signaling, secreted higher levels of chemokine (C-X-C motif) ligand 5 (CXCL5), and recruited more TAN infiltration, suggesting a positive feedback loop. In clinical HCC samples, increased TANs correlated with elevated miR-301b-3p, decreased LSAMP and CYLD expression, and increased nuclear p65 accumulation and CXCL5 expression, all of which predicted patient outcome. Conclusion: Our work identified a positive feedback loop governing cancer stem-like cells and TANs in HCC that controls tumor progression and patient outcome.

Genomic sequencing identifies WNK2 as a driver in hepatocellular carcinoma and a risk factor for early recurrence.

BACKGROUND & AIMS: Early recurrence of hepatocellular carcinoma (HCC) after curative resection is common. However, the association between genetic mechanisms and early HCC recurrence, especially in Chinese patients, remains largely unknown. METHODS: We performed whole-genome sequencing (49 cases), whole-exome sequencing (18 cases), and deep targeted sequencing (115 cases) on 182 primary HCC samples. Focusing on WNK2, we used Sanger sequencing and qPCR to evaluate all the coding exons and copy numbers of that gene in an additional 554 HCC samples. We also explored the functional effect and mechanism of WNK2 on tumor growth and metastasis. RESULTS: We identified 5 genes (WNK2, RUNX1T1, CTNNB1, TSC1, and TP53) harboring somatic mutations that correlated with early tumor recurrence after curative resection in 182 primary HCC samples. Focusing on WNK2, the overall somatic mutation and copy number loss occurred in 5.3% (39/736) and 27.2% (200/736), respectively, of the total 736 HCC samples. Both types of variation were associated with lower WNK2 protein levels, higher rates of early tumor recurrence, and shorter overall survival. Biofunctional investigations revealed a tumor-suppressor role of WNK2: its inactivation led to ERK1/2 signaling activation in HCC cells, tumor-associated macrophage infiltration, and tumor growth and metastasis. CONCLUSIONS: Our results delineate genomic events that characterize Chinese HCCs and identify WNK2 as a driver of early HCC recurrence after curative resection. LAY SUMMARY: We applied next-generation sequencing and conducted an in-depth genomic analysis of hepatocellular carcinomas from a Chinese patient cohort. The results delineate the genomic events that characterize hepatocellular carcinomas in Chinese patients and identify WNK2 as a driver associated with early tumor recurrence after curative resection.

Clinical Characteristics and Prognostic Factors of Patients with Intrahepatic Cholangiocarcinoma with Fever: A Propensity Score Matching Analysis.

BACKGROUND: Patients with intrahepatic cholangiocarcinoma (ICC) rarely present fever as the initial symptom. We aimed to identify clinical characteristics and prognostic factors for these feverish patients. SUBJECTS, MATERIALS, AND METHODS: This study retrospectively reviewed 31 patients with ICC with fever (≥38.0°C) treated at our hospital between January 2002 and December 2014. A propensity score was used to match patients with and without fever at a ratio of 1:2. RESULTS: Patients with ICC with fever had higher serum γ-glutamyl transferase and carcinoembryonic antigen levels, larger tumors, poorer tumor differentiation, and worse prognosis (all p < .05) than those without fever. This was supported by propensity score matching (PSM) analysis. Univariate and multivariate analyses indicated that microvascular invasion, hilar lymph node metastasis, and temperature ≥ 38.6°C were related to prognosis. Patients with ICC with fever had higher levels of leucocytes, neutrophils, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) in peripheral blood before and after PSM analysis. Body temperature positively correlated with leucocytes (r = 0.599, p < .001), neutrophils (r = 0.644, p < .001), NLR (r = 0.681, p < .001), and PLR (r = 0.457, p = .010). CONCLUSION: Patients with ICC with fever ≥38.0°C and ≥38.6°C had poor and extremely poor prognosis, respectively. Radical surgical treatment may improve the prognosis of patients with ICC with fever <38.6°C. However, systemic therapy (e.g., anti-inflammatory and immune therapy) may be preferable to surgery for these patients with fever ≥38.6°C. IMPLICATIONS FOR PRACTICE: Patients with intrahepatic cholangiocarcinoma (ICC) with fever (≥38.0°C) as the initial symptom are extremely rare. Because their symptoms are similar to those of liver abscess, diagnosis is challenging, and most of these patients are already at an advanced stage at the time of diagnosis. Patients with ICC with fever had different clinical characteristics and worse prognosis than those without fever. The prognosis of those with temperature <38.6°C would be improved by timely surgical intervention. Those with fever ≥38.6°C had an extremely dismal outcome, although they all received radical surgical treatment. New therapeutic strategies are needed to improve survival for patients with ICC with temperature ≥38.6°C.

Sphere-forming culture enriches liver cancer stem cells and reveals Stearoyl-CoA desaturase 1 as a potential therapeutic target.

BACKGROUNDS: The role of sphere-forming culture in enriching subpopulations with stem-cell properties in hepatocellular carcinoma (HCC) is unclear. The present study investigates its value in enriching cancer stem cells (CSCs) subpopulations and the mechanism by which HCC CSCs are maintained. METHODS: HCC cell lines and fresh primary tumor cells were cultured in serum-free and ultra-low attachment conditions to allow formation of HCC spheres. In vitro and in vivo experiments were performed to evaluate CSC characteristics. Expression levels of CSC-related genes were assessed by qRT-PCR and the correlation between sphere formation and clinical characteristics was investigated. Finally, gene expression profiling was performed to explore the molecular mechanism underlying HCC CSC maintenance. RESULTS: We found that both cell lines and primary tumor cells formed spheres. HCC spheres possessed the capacity for self-renewal, proliferation, drug resistance, and contained different subpopulations of CSCs. Of interest, 500 sphere-forming Huh7 cells or 200 primary tumor cells could generate tumors in immunodeficient animals. Sphere formation correlated with size, multiple tumors, satellite lesions, and advanced stage. Further investigation identified that the PPARα-SCD1 axis plays an important role in maintenance of the CSC properties of HCC sphere cells by promoting nuclear accumulation of ß-Catenin. Inhibition of SCD1 interfered with sphere formation, down-regulated expression of CSC-related markers, and reduced ß-Catenin nuclear accumulation. CONCLUSIONS: Sphere-forming culture can effectively enrich subpopulations with stem-cell properties, which are maintained through activation of the PPARα-SCD1 axis. Therefore, we suggest that targeting the SCD1-related CSC machinery might provide a novel insight into HCC treatment.

Application of Serum Annexin A3 in Diagnosis, Outcome Prediction and Therapeutic Response Evaluation for Patients with Hepatocellular Carcinoma.

PURPOSE: Annexin A3 (ANXA3) could induce progression of hepatocellular carcinoma (HCC) via promoting stem cell traits of CD133-positive cells. Moreover, serum ANXA3 showed preliminary diagnostic potential, however further validation was required. Meanwhile, the prognostic value of ANXA3 remained elusive. The present study aimed to validate diagnostic performance and further systematically investigate the prognostic value of serum ANXA3. METHODS: Serum ANXA3 of 368 HCC patients was determined by enzyme-linked immunosorbent assay (ELISA); 295 of these patients underwent resection and 73 underwent transcatheter arterial chemoembolization (TACE). Diagnostic performance of ANXA3 was evaluated by receiver operating characteristic (ROC) analysis, and the prognostic value was evaluated by Cox regression and Kaplan-Meier analysis. To evaluate the relationship between serum ANXA3 and circulating CD133 mRNA-positive tumor cells (CD133mRNA+ CTCs), real-time polymerase chain reaction was conducted in 69 patients who underwent resection. RESULTS: Serum ANXA3 provided greater diagnostic performance than α-fetoprotein (area under the curve [AUC] 0.869 vs. 0.782), especially in early diagnosis (AUC 0.852 vs. 0.757) and discriminating HCC from patients at risk (0.832 vs. 0.736). Pretreatment ANXA3 was an independent predictor of tumor recurrence (hazard ratio [HR] 1.87, 95% confidence interval [CI] 1.26-2.76, p = 0.002)/progression (HR 1.88, 95% CI 1.04-3.43, p = 0.038) and survival (resectable: HR 2.26, 95% CI 1.44-3.56, p = 0.001; unresectable: HR 2.08, 95% CI 1.10-4.05, p = 0.025), and retained its performance in low-recurrence-risk subgroups. Specifically, dynamic changes of ANXA3-positive status was associated with worse prognosis. ANXA3 was positively correlated with CD133mRNA+ CTCs (r = 0.601, p < 0.001). In patients with detectable CD133mRNA+ CTC, high ANXA3 was positively associated with a higher risk of recurrence and shorter overall survival. CONCLUSIONS: Serum ANXA3 shows promise as a biomarker for diagnosis, outcome prediction, and therapeutic response evaluation in patients with HCC.

PDXliver: a database of liver cancer patient derived xenograft mouse models.

BACKGROUND: Liver cancer is the second leading cause of cancer-related deaths and characterized by heterogeneity and drug resistance. Patient-derived xenograft (PDX) models have been widely used in cancer research because they reproduce the characteristics of original tumors. However, the current studies of liver cancer PDX mice are scattered and the number of available PDX models are too small to represent the heterogeneity of liver cancer patients. To improve this situation and to complement available PDX models related resources, here we constructed a comprehensive database, PDXliver, to integrate and analyze liver cancer PDX models. DESCRIPTION: Currently, PDXliver contains 116 PDX models from Chinese liver cancer patients, 51 of them were established by the in-house PDX platform and others were curated from the public literatures. These models are annotated with complete information, including clinical characteristics of patients, genome-wide expression profiles, germline variations, somatic mutations and copy number alterations. Analysis of expression subtypes and mutated genes show that PDXliver represents the diversity of human patients. Another feature of PDXliver is storing drug response data of PDX mice, which makes it possible to explore the association between molecular profiles and drug sensitivity. All data can be accessed via the Browse and Search pages. Additionally, two tools are provided to interactively visualize the omics data of selected PDXs or to compare two groups of PDXs. CONCLUSION: As far as we known, PDXliver is the first public database of liver cancer PDX models. We hope that this comprehensive resource will accelerate the utility of PDX models and facilitate liver cancer research. The PDXliver database is freely available online at: http://www.picb.ac.cn/PDXliver/.

STAT3-mediated upregulation of lncRNA HOXD-AS1 as a ceRNA facilitates liver cancer metastasis by regulating SOX4.

BACKGROUND: Several of the thousands of human long noncoding RNAs (lncRNAs) have been functionally characterized, yet their potential involvement in hepatocellular carcinoma (HCC) remains poorly understood. METHODS: LncRNA-HOXD-AS1 was identified by microarray and validated by real-time PCR. The clinicopathological significance of HOXD-AS1 was analyzed by Kaplan-Meier method. Chromatin immunoprecipitation was conducted to examine the mechanism of HOXD-AS1 upregulation. The role of HOXD-AS1 in HCC cells was assessed both in vitro and in vivo. ceRNA function of HOXD-AS1 was evaluated by RNA immunoprecipitation and biotin-coupled miRNA pull down assays. RESULTS: In this study, we found that HOXD-AS1 was significantly upregulated in HCC tissues. Clinical investigation demonstrated high expression level of HOXD-AS1 was associated with poor prognosis and high tumor node metastasis stage of HCC patients, and was an independent risk factor for survival. Moreover, our results revealed that STAT3 could specifically interact with the promoter of HOXD-AS1 and activate HOXD-AS1 transcription. Knockdown of HOXD-AS1 significantly inhibited migration and invasion of HCC cells in vitro and distant lung metastasis in vivo. Additionally, HOXD-AS1 was enriched in the cytoplasm, and shared miRNA response elements with SOX4. Overexpression of HOXD-AS1 competitively bound to miR-130a-3p that prevented SOX4 from miRNA-mediated degradation, thus activated the expression of EZH2 and MMP2 and facilitated HCC metastasis. CONCLUSIONS: In summary, HOXD-AS1 is a prognostic marker for HCC patients and it may play a pro-metastatic role in hepatocarcinogenesis.

Circumventing intratumoral heterogeneity to identify potential therapeutic targets in hepatocellular carcinoma.

BACKGROUND & AIMS: Identifying target genetic mutations in hepatocellular carcinoma (HCC) for therapy is made challenging by intratumoral heterogeneity. Circulating cell-free DNAs (cfDNA) may contain a more complete mutational spectrum compared to a single tumor sample. This study aimed to identify the most efficient strategy to identify all the mutations within heterogeneous HCCs. METHODS: Whole exome sequencing (WES) and targeted deep sequencing (TDS) were carried out in 32 multi-regional tumor samples from five patients. Matched preoperative cfDNAs were sequenced accordingly. Intratumoral heterogeneity was measured using the average percentage of non-ubiquitous mutations (present in parts of tumor regions). Profiling efficiencies of single tumor specimen and cfDNA were compared. The strategy with the highest performance was used to screen for actionable mutations. RESULTS: Variable levels of heterogeneity with branched and parallel evolution patterns were observed. The heterogeneity decreased at higher sequencing depth of TDS compared to measurements by WES (28.1% vs. 34.9%, p<0.01) but remained unchanged when additional samples were analyzed. TDS of single tumor specimen identified an average of 70% of the total mutations from multi-regional tissues. Although genome profiling efficiency of cfDNA increased with sequencing depth, an average of 47.2% total mutations were identified using TDS, suggesting that tissue samples outperformed it. TDS of single tumor specimen in 66 patients and cfDNAs in four unresectable HCCs showed that 38.6% (26/66 and 1/4) of patients carried mutations that were potential therapeutic targets. CONCLUSIONS: TDS of single tumor specimen could identify actionable mutations targets for therapy in HCC. cfDNA may serve as secondary alternative in profiling HCC genome. LAY SUMMARY: Targeted deep sequencing of single tumor specimen is a more efficient method to identify mutations in hepatocellular carcinoma made from mixed subtypes compared to circulating cell-free DNA in blood. cfDNA may serve as secondary alternative in profiling HCC genome. Identifying mutations may help clinicians choose targeted therapy for better individual treatments.

Circulating CD14+ HLA-DR-/low myeloid-derived suppressor cells predicted early recurrence of hepatocellular carcinoma after surgery.

AIM: Myeloid-derived suppressor cells (MDSCs) play an important role in tumor progression. The aim of the present study was to investigate the prognostic value of MDSCs for early recurrence of hepatocellular carcinoma (HCC) in patients undergoing curative resection. METHODS: Myeloid-derived suppressor cells were measured by flow cytometry. The correlation between MDSCs and tumor recurrence was analyzed using a cohort of 183 patients who underwent curative resection between February 2014 and July 2015. Prognostic significance was further assessed using Kaplan-Meier survival estimates and log-rank tests. RESULTS: In vivo, CD14+ HLA-DR-/low MDSCs inhibit T cell proliferation and secretion. The frequency of CD14+ HLA-DR-/low MDSCs was significantly higher in HCC patients (3.7 ± 5.3%, n = 183) than in chronic hepatitis patients (1.4 ± 0.6%, n = 25) and healthy controls (1.1 ± 0.5%, n = 50). High frequency of MDSCs was significantly correlated with recurrence (time to recurrence) (P < 0.001) and overall survival (P = 0.034). Patients with HCC in the high MDSC group were prone to more vascular invasion (P = 0.018) and high systemic immune-inflammation index (SII) (P = 0.009) than those in the low MDSC group. Scatter-plot analyses revealed a significant positive correlation between the SII level and the frequency of MDSCs (r = 0.188, P = 0.011). Patients with HCC with a high MDSC frequency and high SII level had significantly shorter time to recurrence (P < 0.001) and overall survival (P = 0.028) than those with a low MDSC frequency and low SII. CONCLUSIONS: An increased frequency of MDSCs was correlated with early recurrence and predicted the prognosis of patients with HCC undergoing curative resection. The HCC patients with high frequency of MDSCs should be provided more advanced management and frequent monitoring.

A new use for an old index: preoperative high-density lipoprotein predicts recurrence in patients with hepatocellular carcinoma after curative resections.

BACKGROUND: Hepatocellular carcinoma has high incidence and mortality worldwide. Liver is the site of most metabolic biotransformation, which could reflect the status of cells. Most plasma apolipoproteins, endogenous lipids and lipoproteins are synthesized in the liver. Therefore, the effects of lipid metabolites on prognosis of HCC deserved to be explored. METHODS: We prospectively included 58 healthy donors (HD), 50 chronic hepatitis (CH) patients and a training cohort of 189 patients with HCC who underwent curative resections at Zhongshan Hospital from January 2012 to August 2012. We identified the optimal HDLPO cutoff value at 0.98 mmol/L and used it to stratify patients into low- or high-HDLPO groups for the entire cohort and four low-recurrent-risk subgroups. We also included an independent validation group of 182 HCC patients to validate this cutoff value. Prognostic values of HDLPO and other factors were determined by Kaplan-Meier curves and the Cox proportional hazards model. RESULTS: The low-HDLPO group had a higher median tumor grade (P = 0.020) and a higher recurrence rate (P = 0.032). Results of multivariate analysis showed that preoperative γ-glutamyl transpeptidase (GGT) and HDLPO were independent predictors of recurrence. Moreover, the predictive value of HDLPO was retained in four low-recurrent-risk subgroups. As expected, clinicopathologic characteristics and predictive values were similar in the validation and training cohorts. CONCLUSIONS: HDLPO is an accessible predictor of HCC recurrence after liver resections that can help identify patients who need more careful monitoring and follow-up care.

Dynamic change of the systemic immune inflammation index predicts the prognosis of patients with hepatocellular carcinoma after curative resection.

BACKGROUND: The aim of the study was to determine the utility of the dynamic change and serial monitoring of the systemic immune inflammation index (SII), which was based on the numbers of patients' lymphocytes (L), platelets (P), neutrophils (N) and defined as P*N/L, for predicting prognosis of patients with hepatocellular carcinoma (HCC) after curative resection. METHODS: We conducted a prospective study of 163 patients with HCC who underwent curative resection at Zhongshan Hospital from January 2012 to May 2013. SII was calculated using data acquired before and approximately 1 month after surgery. An optimal cutoff value stratified patients into groups with high or low SII. Patients were classified into unfavorable and favorable groups using the dynamic change of the SII. Two groups that were further divided into four categories within the entire cohort and the low-risk subgroups were serially monitored for ≥6 months. Prognostic values of the SII and other factors were determined using the Kaplan-Meier method, the Cox proportional hazards model, and the receiver operating characteristics (ROC) curve. RESULTS: The favorable group was likely to have cirrhosis, and the unfavorable group was likely to have larger tumors and a higher recurrence rate. Multivariate analysis revealed that tumor size and dynamic change of the SII were independent risk factors for early recurrence. Moreover, the predictive value of the SII was retained in α-fetoprotein (AFP)-negative and HBeAg-negative-HBV-DNA <2000 IU/mL subgroups. Further, the serial changes of the SII for recurrence and no recurrence groups were statistically significant. CONCLUSIONS: The dynamic change and serial monitoring of the SII represent new indicators for predicting the early recurrence of HCC determining advance optimal therapy in advance.

A polymeric nanoparticle formulation of curcumin in combination with sorafenib synergistically inhibits tumor growth and metastasis in an orthotopic model of human hepatocellular carcinoma.

Curcumin, a yellow polyphenol extracted from the rhizome of turmeric root (Curcuma longa) has potent anti-cancer properties in many types of tumors with ability to reverse multidrug resistance of cancer cells. However, widespread clinical application of this agent in cancer and other diseases has been limited due to its poor aqueous solubility. The recent findings of polymeric nanoparticle formulation of curcumin (NFC) have shown the potential for circumventing the problem of poor solubility, however evidences for NFC's anti-cancer and reverse multidrug resistance properties are lacking. Here we provide models of human hepatocellular carcinoma (HCC), the most common form of primary liver cancer, in vitro and in vivo to evaluate the efficacy of NFC alone and in combination with sorafenib, a kinase inhibitor approved for treatment of HCC. Results showed that NFC not only inhibited the proliferation and invasion of HCC cell lines in vitro, but also drastically suppressed primary tumor growth and lung metastases in vivo. Moreover, in combination with sorafenib, NFC induced HCC cell apoptosis and cell cycle arrest. Mechanistically, NFC and sorafenib synergistically down-regulated the expression of MMP9 via NF-κB/p65 signaling pathway. Furthermore, the combination therapy significantly decreased the population of CD133-positive HCC cells, which have been reported as cancer initiating cells in HCC. Taken together, NanoCurcumin provides an opportunity to expand the clinical repertoire of this agent. Additional studies utilizing a combination of NanoCurcumin and sorafenib in HCC are needed for further clinical development.