Development and Optimization of A Human Hepatocellular Carcinoma Patient-Derived Organoid Model for Potential Target Identification and Drug Discovery.

Hepatocellular carcinoma (HCC) is a highly prevalent and lethal tumor worldwide and its late discovery and lack of effective specific therapeutic agents necessitate further research into its pathogenesis and treatment. Organoids, a novel model that closely resembles native tumor tissue and can be cultured in vitro, have garnered significant interest in recent years, with numerous reports on the development of organoid models for liver cancer. In this study, we have successfully optimized the procedure and established a culture protocol that enables the formation of larger-sized HCC organoids with stable passaging and culture conditions. We have comprehensively outlined each step of the procedure, covering the entire process of HCC tissue dissociation, organoid plating, culture, passaging, cryopreservation, and resuscitation, and provided detailed precautions in this paper. These organoids exhibit genetic similarity to the original HCC tissues and can be utilized for diverse applications, including the identification of potential therapeutic targets for tumors and subsequent drug development.

Chinese expert consensus on conversion therapy for hepatocellular carcinoma (2021 edition).

Recent advances in systemic and locoregional treatments for patients with unresectable or advanced hepatocellular carcinoma (HCC) have resulted in improved response rates. This has provided an opportunity for selected patients with initially unresectable HCC to achieve adequate tumor downstaging to undergo surgical resection, a 'conversion therapy' strategy. However, conversion therapy is a new approach to the treatment of HCC and its practice and treatment protocols are still being developed. Review the evidence for conversion therapy in HCC and develop consensus statements to guide clinical practice. Evidence review: Many research centers in China have accumulated significant experience implementing HCC conversion therapy. Preliminary findings and data have shown that conversion therapy represents an important strategy to maximize the survival of selected patients with intermediate stage to advanced HCC; however, there are still many urgent clinical and scientific challenges for this therapeutic strategy and its related fields. In order to summarize and learn from past experience and review current challenges, the Chinese Expert Consensus on Conversion Therapy for Hepatocellular Carcinoma (2021 Edition) was developed based on a review of preliminary experience and clinical data from Chinese and non-Chinese studies in this field and combined with recommendations for clinical practice. Sixteen consensus statements on the implementation of conversion therapy for HCC were developed. The statements generated in this review are based on a review of clinical evidence and real clinical experience and will help guide future progress in conversion therapy for patients with HCC.

Growth differentiation factor 1-induced tumour plasticity provides a therapeutic window for immunotherapy in hepatocellular carcinoma.

Tumour lineage plasticity is an emerging hallmark of aggressive tumours. Tumour cells usually hijack developmental signalling pathways to gain cellular plasticity and evade therapeutic targeting. In the present study, the secreted protein growth and differentiation factor 1 (GDF1) is found to be closely associated with poor tumour differentiation. Overexpression of GDF1 suppresses cell proliferation but strongly enhances tumour dissemination and metastasis. Ectopic expression of GDF1 can induce the dedifferentiation of hepatocellular carcinoma (HCC) cells into their ancestral lineages and reactivate a broad panel of cancer testis antigens (CTAs), which further stimulate the immunogenicity of HCC cells to immune-based therapies. Mechanistic studies reveal that GDF1 functions through the Activin receptor-like kinase 7 (ALK7)-Mothers against decapentaplegic homolog 2/3 (SMAD2/3) signalling cascade and suppresses the epigenetic regulator Lysine specific demethylase 1 (LSD1) to boost CTA expression. GDF1-induced tumour lineage plasticity might be an Achilles heel for HCC immunotherapy. Inhibition of LSD1 based on GDF1 biomarker prescreening might widen the therapeutic window for immune checkpoint inhibitors in the clinic.

CMTM6 promotes migration, invasion, and EMT by interacting with and stabilizing vimentin in hepatocellular carcinoma cells.

BACKGROUND: CKLF like MARVEL transmembrane domain containing 6 (CMTM6) has been associated with the development in many kinds of cancers. However, the roles of CMTM6 in hepatocellular carcinoma (HCC) are largely unknown. Thus, the present study aimed to investigate the function of CMTM6 in HCC. METHODS: We analysed CMTM6 levels and functions using human HCC cell lines, paired HCC and adjacent non-tumorous tissues, and a tissue microarray. CMTM6 expression was silenced using short hairpin RNAs and its was overexpressed from a lentivirus vector. CMTM6 mRNA and protein levels were determined using quantitative real-time reverse transcription PCR and western blotting, respectively. Proliferation, colony formation, migration, and invasion were assessed using a Cell counting kit-8, colony formation, wound-healing, and Matrigel invasion assays, respectively. Immunohistochemistry was used to score the expression of CMTM6 in tissue samples. The localization and binding partners of CMTM6 were investigated using immunofluorescence and coimmunoprecipitation experiments, respectively. A mouse xenograft model was used for in vivo studies. RESULTS: Compared with that in adjacent, non-cancerous tissue, Here, CMTM6 levels were increased in HCC tissue samples. Silencing of CMTM6 suppressed the proliferation, migration, and invasion of HCC cells. Conversely, CMTM6 overexpression enhanced HCC cell invasion, migration, and proliferation. Mechanistically, CMTM6 physically interacts with and stabilizes vimentin, thus inducing epithelial-mesenchymal transition (EMT), which promotes proliferation, migration and invasion. Importantly, in HCC tissues, CMTM6 expression correlated positively with vimentin levels. Poor prognosis of HCC was associated significantly with higher CMTM6 expression. CONCLUSIONS: CMTM6 has an important function in HCC proliferation, migration, and invasion, via its interaction with and stabilization of vimentin. CMTM6 might represent a potential biomarker and therapeutic target to treat HCC.

Targeting tumor lineage plasticity in hepatocellular carcinoma using an anti-CLDN6 antibody-drug conjugate.

Tumor lineage plasticity is emerging as a critical mechanism of therapeutic resistance and tumor relapse. Highly plastic tumor cells can undergo phenotypic switching to a drug-tolerant state to avoid drug toxicity. Here, we investigate the transmembrane tight junction protein Claudin6 (CLDN6) as a therapeutic target related to lineage plasticity for hepatocellular carcinoma (HCC). CLDN6 was highly expressed in embryonic stem cells but markedly decreased in normal tissues. Reactivation of CLDN6 was frequently observed in HCC tumor tissues as well as in premalignant lesions. Functional assays indicated that CLDN6 is not only a tumor-associated antigen but also conferred strong oncogenic effects in HCC. Overexpression of CLDN6 induced phenotypic shift of HCC cells from hepatic lineage to biliary lineage, which was more refractory to sorafenib treatment. The enhanced tumor lineage plasticity and cellular identity change were potentially induced by the CLDN6/TJP2 (tight junction protein 2)/YAP1 (Yes-associated protein 1) interacting axis and further activation of the Hippo signaling pathway. A de novo anti-CLDN6 monoclonal antibody conjugated with cytotoxic agent (Mertansine) DM1 (CLDN6-DM1) was developed. Preclinical data on both HCC cell lines and primary tumors showed the potent antitumor efficiency of CLDN6-DM1 as a single agent or in combination with sorafenib in HCC treatment.

Prognostic and clinicopathological value of PD-L2 in lung cancer: A meta-analysis.

OBJECTIVE: The prognostic role of programmed death ligand-2 (PD-L2) expression in lung cancer has been widely studied, however, the results are controversial. Accordingly, we investigated the prognostic and clinicopathological value of PD-L2 in patients with lung cancer in this meta-analysis. METHODS: Relevant studies were systematically searched in the PubMed, Web of Science, EMBASE, ClinicalTrials.gov., Scopus, and Cochrane Library until July 10, 2020. The hazard ratio (HR), odds ratio (OR), and their corresponding 95% confidence intervals (CIs) were calculated. RESULTS: Thirteen studies with 3107 participants were included. High PD-L2 expression was associated with poor overall survival (OS) (HR 1.248, 95% CI: 1.071-1.455, p = 0.004) and worse disease-free survival (DFS)/progression-free survival (PFS)/relapse-free survival (RFS) (HR 1.224, 95% CI: 1.058-1.417, p = 0.007) in lung cancer. Furthermore, unfavorable OS was found in lung adenocarcinoma (HR 1.349, 95% CI: 1.051-1.731, p = 0.019), but not in other pathological types (HR 1.192, 95% CI: 0.982-1.447 p = 0.076) with higher PD-L2 expression in our subgroup analysis. Concerning the clinicopathological characteristics, high PD-L2 expression was associated with smoking (OR 0.725, 95% CI: 0.591-0.890, p = 0.002) and PD-L1 (OR 1.607, 95% CI:1.115-2.314, p = 0.011) and vascular invasion (OR 1.500, 95% CI: 1.022-2.203, p = 0.039). CONCLUSION: PD-L2 overexpression might predict a poor prognosis in lung cancer patients after surgery. PD-L2 expression might be a potential biomarker for PD-1/PD-L1-targeted immunotherapy in lung cancer, which should be investigated in future studies.

The tumor immune microenvironment transcriptomic subtypes of colorectal cancer for prognosis and development of precise immunotherapy.

BACKGROUND: Biomarkers based on immune context may guide prognosis prediction. T-cell inactivation, exclusion, or dysfunction could cause unfavorable tumor microenvironments, which affect immunotherapy and prognosis. However, none of the immuno-biomarkers reported to date can differentiate colorectal-cancer (CRC) patients. Thus, we aimed to classify CRC patients according to the levels of T-cell activation, exclusion, and dysfunction in the tumor microenvironment. METHODS: RNAseq data of 618 CRC patients from The Cancer Genome Atlas and microarray data of 316 CRC patients from Gene Expression Omnibus were analysed using the Tumor Immune Dysfunction and Exclusion algorithm. Unsupervised clustering was used to classify patients. RESULTS: Based on the expression signatures of myeloid-derived suppressor cells, cancer-associated fibroblasts, M2-like tumor-associated macrophages, cytotoxic T-lymphocytes, and PD-L1, all patients were clustered into four subtypes: cluster 1 had a high level of immune dysfunction, cluster 2 had a low level of immune activation, cluster 3 had intense immune exclusion, and cluster 4 had a high level of immune activation and a moderate level of both dysfunction and exclusion signatures. Compared with cluster 1, the hazard ratios and 95% confidential intervals for overall survival were 0.63 (0.35-1.13) for cluster 2, 0.55 (0.29-1.03) for cluster 3, and 0.30 (0.14-0.64) for cluster 4 in multivariate Cox regression. Similar immune clustering and prognosis patterns were obtained upon validation in the GSE39582 cohort. In subgroup analysis, immune clustering was significantly associated with overall survival among stage I/II patients, microsatellite stable/instability-low patients, and patients not treated with adjuvant therapy. CONCLUSIONS: Our findings demonstrated that classifying CRC patients into different immune subtypes serves as a reliable prognosis predictor and may help to refine patient selection for personalized cancer immunotherapy.

Prognostic and clinicopathological utility of PD-L2 expression in patients with digestive system cancers: A meta-analysis.

OBJECTIVE: Programmed death ligand-2 (PD-L2)has been detected in various cancers. However, its prognostic value in digestive system cancers (DSCs) remains unclear. Accordingly, this meta-analysis investigated the prognostic and clinicopathological utility of PD-L2 in patients with DSCs. METHODS: We systematically searched PubMed, EMBASE, Web of Science, ClinicalTrials.gov., Scopus, and Cochrane Library databases for eligible studies up to April 30, 2020. The hazard ratio (HR), odds ratio (OR), and corresponding 95% confidence interval (CI) of the outcomes were calculated. RESULTS: Twenty two studies with 4886 patients were included in this meta-analysis. The pooled results showed that PD-L2 overexpression was significantly associated with poor overall survival (OS) (HR 1.470, 95% CI: 1.252-1.728, p < 0.001) and worse disease-free survival (DFS) (HR1.598, 95% CI: 1.398-1.826, p < 0.001). Subgroup analysis revealed that elevated PD-L2 was a significant prognostic indicator of worse OS in hepatocellular carcinoma (HR 1.703, 95% CI: 1.456-1.991, p < 0.001) and colorectal cancer (HR 3.811, 95% CI: 1.718-8.454, p = 0.001). Concerning clinicopathologic factors, PD-L2 overexpression was associated with lymphatic metastasis (OR 1.394., 95% CI: 1.101-1.764, p = 0.006), tumor metastasis (OR 1.599, 95% CI: 1.072-2.383, p = 0.021), and the histopathological stage (OR 0.704, 95% CI: 0.566-0.875, p = 0.002). CONCLUSION: PD-L2 overexpression in DSCs after surgery might predict a poor prognosis, especially in hepatocellular carcinoma and colorectal cancer. Larger patient cohorts are needed to validate its prognostic role.

miR-449a regulates biological functions of hepatocellular carcinoma cells by targeting SATB1.

PURPOSE: To investigate whether miR-449a can regulate the biological functions of hepatocellular carcinoma (HCC) cells by targeting special AT-rich sequence binding protein 1 (SATB1). METHODS: qRT-PCR and western blot were carried out to detect the expression of miR-449a and SATB1 in normal human hepatocyte cell line HL-7702 and in HCC cells SMMC-7721, Hep3B, HepG2, and Bel-7402. miR-449a-mimics, miR-negative control (miR-NC), specifically inhibited SATB1 RNA (si-SATB1), specifically overexpressed SATB1 RNA (sh-SATB1), and negative control RNA (Si-NC) were transfected into the Hep3B and Bel-7402 cells. MTT assay, Transwell assay and flow cytometry were conducted to detect cell proliferation, invasion, and apoptosis. Dual luciferase reporter assay was performed to determine the relationship between miR-449a and SATB1. RESULTS: miR-449a was highly but SATB1 was poorly expressed in HCC cells. According to the cell experiments, the up-regulation of miR-449a expression could inhibit the proliferation and invasion of HCC cells, promote their apoptosis, and significantly reduce SATB1 expression. The inhibition of SATB1 expression could inhibit the proliferation and invasion and promote apoptosis. The dual luciferase reporter assay confirmed that there was a targeted regulatory relationship between miR-449a and SATB. CONCLUSION: miR-449a can inhibit the proliferation and invasion of HCC cells and promote their apoptosis through the targeted regulation of SATB1, so it is expected to become a potential therapeutic target for this disease in clinical practice.

A Novel Ten-Gene Signature Predicting Prognosis in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) has a dismal long-term outcome. We aimed to construct a multi-gene model for prognosis prediction to inform HCC management. The cancer-specific differentially expressed genes (DEGs) were identified using RNA-seq data of paired tumor and normal tissue. A prognostic signature was built by LASSO regression analysis. Gene set enrichment analysis (GSEA) was performed to further understand the underlying molecular mechanisms. A 10-gene signature was constructed to stratify the TCGA and ICGC cohorts into high- and low-risk groups where prognosis was significantly worse in the high-risk group across cohorts (P < 0.001 for all). The 10-gene signature outperformed all previously reported models for both C-index and the AUCs for 1-, 3-, 5-year survival prediction (C-index, 0.84 vs 0.67 to 0.73; AUCs for 1-, 3- and 5-year OS, 0.84 vs 0.68 to 0.79, 0.81 to 0.68 to 0.80, and 0.85 vs 0.67 to 0.78, respectively). Multivariate Cox regression analysis revealed risk group and tumor stage to be independent predictors of survival in HCC. A nomogram incorporating tumor stage and signature-based risk group showed better performance for 1- and 3-year survival than for 5-year survival. GSEA revealed enrichment of pathways related to cell cycle regulation among high-risk samples and metabolic processes in the low-risk group. Our 10-gene model is robust for prognosis prediction and may help inform clinical management of HCC.

Pancreatic neuroendocrine tumors: A review of serum biomarkers, staging, and management.

Pancreatic neuroendocrine tumors (pNETs) are a heterogeneous group of tumors with complicated treatment options that depend on pathological grading, clinical staging, and presence of symptoms related to hormonal secretion. With regard to diagnosis, remarkable advances have been made: Chromogranin A is recommended as a general marker for pNETs. But other new biomarker modalities, like circulating tumor cells, multiple transcript analysis, microRNA profile, and cytokines, should be clarified in future investigations before clinical application. Therefore, the currently available serum biomarkers are insufficient for diagnosis, but reasonably acceptable in evaluating the prognosis of and response to treatments during follow-up of pNETs. Surgical resection is still the only curative therapeutic option for localized pNETs. However, a debulking operation has also been proven to be effective for controlling the disease. As for drug therapy, steroids and somatostatin analogues are the first-line therapy for those with positive expression of somatostatin receptor, while everolimus and sunitinib represent important progress for the treatment of patients with advanced pNETs. Great progress has been achieved in the combination of systematic therapy with local control treatments. The optimal timing of local control intervention, planning of sequential therapies, and implementation of multidisciplinary care remain pending.

Identification of prognostic claudins signature in hepatocellular carcinoma from a hepatocyte differentiation model.

BACKGROUND: Loss of terminal differentiation markers and gain of stem cell-like properties are a major hallmark of cancer malignant progression. Identification of novel biomarkers representing tumor developmental progeny and predictive of patients' prognosis would greatly benefit clinical cancer management. METHODS: Human embryonic stem cells were induced to differentiate into hepatocytes along hepatic lineages. Transcriptomic data from different liver developmental stages were analyzed combining with the RNA-seq data from The Cancer Genome Atlas (TCGA) project. Kaplan-Meier survival analysis and Cox regression analyses were used to analyze the clinical significance in HCC patients. RESULTS: A shifted expression pattern of claudin (CLDN) family genes were identified to be closely associated with liver development and tumor progression. Claudins with hepatic features were found to be significantly down-regulated and predicted better prognosis in HCC patients. Conversely, another set of claudins with embryonic stem cell features were found to be significantly up-regulated and predicted worse prognosis in HCC patients. A claudin signature score system was further established by combining the two sets of claudin genes. The newly established claudins signature could robustly predict HCC patients' prognosis in the training, testing, and independent validation cohorts. CONCLUSIONS: In the present study, we developed a novel embryonic developmental claudins signature to monitor the extent of tumor dedifferentiation in HCC from an in vitro hepatocyte differentiation model. The claudins signature might present a great potential in predicting prognostic significance in HCC as cell surface biomarkers, and provide novel therapeutic targets for precision oncology further in the clinic.

A hepatocyte differentiation model reveals two subtypes of liver cancer with different oncofetal properties and therapeutic targets.

Clinical observation of the association between cancer aggressiveness and embryonic development stage implies the importance of developmental signals in cancer initiation and therapeutic resistance. However, the dynamic gene expression during organogenesis and the master oncofetal drivers are still unclear, which impeded the efficient elimination of poor prognostic tumors, including human hepatocellular carcinoma (HCC). In this study, human embryonic stem cells were induced to differentiate into adult hepatocytes along hepatic lineages to mimic liver development in vitro. Combining transcriptomic data from liver cancer patients with the hepatocyte differentiation model, the active genes derived from different hepatic developmental stages and the tumor tissues were selected. Bioinformatic analysis followed by experimental assays was used to validate the tumor subtype-specific oncofetal signatures and potential therapeutic values. Hierarchical clustering analysis revealed the existence of two subtypes of liver cancer with different oncofetal properties. The gene signatures and their clinical significance were further validated in an independent clinical cohort and The Cancer Genome Atlas database. Upstream activator analysis and functional screening further identified E2F1 and SMAD3 as master transcriptional regulators. Small-molecule inhibitors specifically targeting the oncofetal drivers extensively down-regulated subtype-specific developmental signaling and inhibited tumorigenicity. Liver cancer cells and primary HCC tumors with different oncofetal properties also showed selective vulnerability to their specific inhibitors. Further precise targeting of the tumor initiating steps and driving events according to subtype-specific biomarkers might eliminate tumor progression and provide novel therapeutic strategy.

Laparoscopic Hyperthermic Intraperitoneal Perfusion Chemotherapy for Patients With Malignant Ascites Secondary to Unresectable Gastric Cancer.

BACKGROUND: To compare the efficacy of 3 chemotherapeutic combinations for laparoscopic hyperthermic intraperitoneal perfusion chemotherapy (HIPPC) in the treatment of malignant ascites secondary to unresectable gastric cancer (GC). MATERIALS AND METHODS: From January 2010 to December 2013, 38 GC patients were randomly divided into 3 groups and treated by laparoscopic HIPPC with 1 of the 3 following chemotherapy combinations: raltitrexed (Ra) with oxaliplatin (L-OHP), Ra with cisplatin (DDP), and Ra with mitomycin C (MMC). Perioperative complications, patients' quality of life, and survival were recorded and compared among the 3 groups. RESULTS: The intraoperative course was successful in all patients, and no perioperative death or complication related to laparoscopic HIPPC was documented. The median follow-up period was 9 months and the median survival was 7.5 months for all patients. Patients in the Ra/L-OHP group had a median survival of 8.7 months, the Ra/DDP group had a median survival of 5.6 months, and the Ra/MMC group had a median survival of 7.5 months. Patients' median survival in the Ra/L-OHP group and Ra/MMC group is significantly longer than Ra/DDP group (P<0.05). No significant difference was found in total remission rate of ascites, increase in the Karnofsky performance scale, and incidence rate of port-site metastases among the 3 groups. CONCLUSIONS: Laparoscopy-assisted HIPPC provide modest yet encouraging efficacy for malignant ascites secondary to disseminated GC. Our preliminary data indicate that the chemotherapeutical combination of Ra/L-OHP and Ra/MMC might be more beneficial compared with Ra/DDP in terms of patients' survival.

Comparative safety and effectiveness of ultrasound-guided radiofrequency ablation combined with preoperative three-dimensional reconstruction versus surgical resection for solitary hepatocellular carcinoma of 3-5 cm.

OBJECTIVE: To investigate the safety and effectiveness of ultrasound-guided radiofrequency ablation (RFA) combined with preoperative three-dimensional (3D) reconstruction versus surgical resection for solitary hepatocellular carcinoma of 3-5 cm. METHODS: The cohort of this retrospective study included 66 consecutive patients who underwent open hepatectomy (Surgery group) between January 2009 and December 2014, as well as 54 consecutive patients who underwent ultrasound-guided RFA combined with preoperative 3D reconstruction (RFA group) during the same period. Preoperative 3D reconstruction was performed using Myrian-XP-Liver software. The image fusion system was used to evaluate the RFA safety margin at 1 month after surgery. Kaplan-Meier analysis and the log-rank test were used to compare the recurrence and overall survival (OS) rates between the two treatment groups. RESULTS: There were no significant differences in the baseline characteristics of the two groups. The complete ablation rate was 94.4% (51/53). As compared with surgical resection for solitary HCC of 3-5 cm, ultrasound-guided RFA combined with preoperative 3D reconstruction significantly reduced the morbidity of excessive pain, total complications, and infections (p < 0.001). A significant decrease in the duration of the hospital stay after treatment was also observed in the RFA group (t = 10.017, p < 0.001). There was no significant difference in the cumulative recurrence rate between the two groups. Kaplan-Meier analysis and the log-rank test revealed no significant difference in the OS rate between the two groups over a 3-year follow-up period. CONCLUSION: Ultrasound-guided RFA combined with preoperative 3D reconstruction appears to be a safe and effective therapeutic option for patients with solitary HCC of 3-5 cm.

Development of an oncogenic dedifferentiation SOX signature with prognostic significance in hepatocellular carcinoma.

BACKGROUND: Gradual loss of terminal differentiation markers and gain of stem cell-like properties is a major hall mark of cancer malignant progression. The stem cell pluripotent transcriptional factor SOX family play critical roles in governing tumor plasticity and lineage specification. This study aims to establish a novel SOX signature to monitor the extent of tumor dedifferentiation and predict prognostic significance in hepatocellular carcinoma (HCC). METHODS: The RNA-seq data from The Cancer Genome Atlas (TCGA) LIHC project were chronologically divided into the training (n = 188) and testing cohort (n = 189). LIRI-JP project from International Cancer Genome Consortium (ICGC) data portal was used as an independent validation cohort (n = 232). Kaplan-Meier and multivariable Cox analyses were used to examine the clinical significance and prognostic value of the signature genes. RESULTS: The SOX gene family members were found to be aberrantly expressed in clinical HCC patients. A five-gene SOX signature with prognostic value was established in the training cohort. The SOX signature genes were found to be closely associated with tumor grade and tumor stage. Liver cancer dedifferentiation markers (AFP, CD133, EPCAM, and KRT19) were found to be progressively increased while hepatocyte terminal differentiation markers (ALB, G6PC, CYP3A4, and HNF4A) were progressively decreased from HCC patients with low SOX signature scores to patients with high SOX signature scores. Kaplan-Meier survival analysis further indicated that the newly established SOX signature could robustly predict patient overall survival in both training, testing, and independent validation cohort. CONCLUSIONS: An oncogenic dedifferentiation SOX signature presents a great potential in predicting prognostic significance in HCC, and might provide novel biomarkers for precision oncology further in the clinic.

Vessels That Encapsulate Tumor Clusters (VETC) Pattern Is a Predictor of Sorafenib Benefit in Patients with Hepatocellular Carcinoma.

Sorafenib is the most recommended first-line systemic therapy for advanced hepatocellular carcinoma (HCC). Yet there is no clinically applied biomarker for predicting sorafenib response. We have demonstrated that a vascular pattern, named VETC (Vessels that Encapsulate Tumor Clusters), facilitates the release of whole tumor clusters into the bloodstream; VETC-mediated metastasis relies on vascular pattern, but not on migration and invasion of cancer cells. In this study, we aimed to explore whether vascular pattern could predict sorafenib benefit. Two cohorts of patients were recruited from four academic hospitals. The survival benefit of sorafenib treatment for patients with or without the VETC pattern (VETC+ /VETC- ) was investigated. Kaplan-Meier analyses revealed that sorafenib treatment significantly reduced death risk and prolonged overall survival (OS; in cohort 1/2, P = 0.004/0.005; hazard ratio [HR] = 0.567/0.408) and postrecurrence survival (PRS; in cohort 1/2, P = 0.001/0.002; HR = 0.506/0.384) in VETC+ patients. However, sorafenib therapy was not beneficial for VETC- patients (OS in cohort 1/2, P = 0.204/0.549; HR = 0.761/1.221; PRS in cohort 1/2, P = 0.121/0.644; HR = 0.728/1.161). Univariate and multivariate analyses confirmed that sorafenib treatment significantly improved OS/PRS in VETC+ , but not VETC- , patients. Further mechanistic investigations showed that VETC+ and VETC- HCCs displayed similar levels of light chain 3 (LC3) and phosphorylated extracellular signal-regulated kinase (ERK) in tumor tissues (pERK) or endothelial cells (EC-pERK), and greater sorafenib benefit was consistently observed in VETC+ HCC patients than VETC- irrespective of levels of pERK/EC-pERK/LC3, suggesting that the different sorafenib benefit between VETC+ and VETC- HCCs may not result from activation of Raf/mitogen-activated protein kinase kinase (MEK)/ERK and vascular endothelial growth factor (VEGF)A/VEGF receptor 2 (VEGFR2)/ERK signaling or induction of autophagy. Conclusion: Sorafenib is effective in prolonging the survival of VETC+ , but not VETC- , patients. VETC pattern may act as a predictor of sorafenib benefit for HCC.

Aberrant MCT4 and GLUT1 expression is correlated with early recurrence and poor prognosis of hepatocellular carcinoma after hepatectomy.

The tumor microenvironment is a key determinant of cancer cell biology. The microenvironment is a complex mixture of tumor cells, stromal cells, and proteins, extracellular matrix, oxygen tension, and pH levels surrounding the cells that regulate the tumor progress. This study identified the prognostic factors associated with hepatocellular carcinoma (HCC) and MCT4 and GLUT1 expression levels in HCC specimens. In this study, we analyzed MCT4 and GLUT1 expression levels in tissue samples from 213 patients with HCC by immunohistochemical analyses and in HCC tumor tissues and matched adjacent nonneoplastic tissues by quantitative real-time PCR. We conducted a prognostic analysis of the overall survival (OS) and time to recurrence (TTR) using immunoreactivity and other common clinical and pathological parameters. All variables with prognostic impact were further analyzed by multivariate analysis. We found that MCT4 and GLUT1 expression levels were significantly higher in tumor tissues than in adjacent nontumor tissues, and they were positively correlated with tumor size. Survival analysis showed that patients with high expression levels of MCT4 or GLUT1 had a poor OS and TTR. In patients with HCC, MCT4 expression was an independent negative prognostic factor for OS (hazard ratio [HR] = 1.617; 95% confidence interval [CI] = 1.102-2.374; P = 0.014), and metabolic indicators were independent prognostic factors for OS (HR = 1.617, 95% CI = 1.102-2.374, P = 0.006) and TTR (HR = 1.348, 95% CI = 1.079-1.685, P = 0.009). Interestingly, patients with positive metabolic indicator expression in tumor cells had a significantly shorter OS and earlier TTR than those with negative metabolic indicator expression in tumor cells in the ≤5 cm and >5 cm subgroups. In summary, using the expression of MCT4 and GLUT1 and their metabolic parameters to determine the metabolic status of tumors is promising for predicting the prognosis of patients with HCC.

Nomogram to Predict Survival of Patients With Recurrence of Hepatocellular Carcinoma After Surgery.

BACKGROUND & AIMS: We aimed to establish and validate a nomogram to predict survival at 2 and 5 years after recurrence of hepatocellular carcinoma (HCC) in patients who have undergone curative resection. METHODS: We developed a nomogram using data from a training cohort of 638 patients (most with hepatitis B virus infection) with recurrence of HCC after curative resection at Sun Yat-sen University Cancer Center, in Guangzhou, China from 2007 through 2013. The median follow-up time was 39.7 months. Patients were evaluated every 3-4 months for the first 2 years after resection and every 3-6 months thereafter. The nomogram was based on variables independently associated with survival after HCC recurrence, including antiviral treatment; albumin-bilirubin grade and alpha-fetoprotein level at recurrence; time from primary resection to recurrence; size, site, number of recurrences; and treatment for recurrence. We validated the nomogram using data from an independent internal cohort of 213 patients treated at the same institution and an external cohort of 127 patients treated at 2 other centers in China, from 2002 through 2009. The predictive accuracy of the nomogram was measured using Harrell's concordance index (C index) and compared with the Barcelona Clinic Liver Cancer staging system of recurrence. RESULTS: Our nomogram predicted survival of patients in the training cohort with a C-index of 0.797 (95% CI, 0.765-0.830)-greater than that of the Barcelona Clinic Liver Cancer staging system for recurrence (C-index score, 0.713; 95% CI, 0.680-0.745) (P < .001). This nomogram accurately stratified patients into subgroups with predicted long, medium, and short survival times: the proportions of patients in each group who survived 2 years after HCC recurrence were 91.2%, 67.6%, and 23.8%; the proportions of patients in each group who survived 5 years after HCC recurrence were 74.9%, 53.3%, and 9.1%. Our nomogram predicted patient survival times with C-index scores of 0.756 (95% CI, 0.703-0.808) in the internal validation cohort and 0.747 (95% CI, 0.701-0.794) in the external validation cohorts. CONCLUSIONS: We developed a nomogram to determine the probability of survival, at different time points, of patients with recurrence of HCC (most with hepatitis B virus infection), after curative resection and validated it internally and externally.

A dual-selective fluorescent probe for GSH and Cys detection: Emission and pH dependent selectivity.

A novel fluorescent probe 1 based on acridine orange was developed for the selective detection and bioimaging of biothiols. The probe exhibits higher selectivity and turn-on fluorescence response to cysteine (Cys), homocysteine (Hcy), and glutathione (GSH) than to other amino acids. Importantly, the probe responds to GSH and Cys/Hcy with distinct fluorescence emissions in PBS buffer at pH of 7.4. The Cys/Hcy-triggered tandem SNAr-rearrangement reaction and GSH-induced SNAr reaction with the probe led to the corresponding amino-acridinium and thio-acridinium dyes, respectively, which can discriminate GSH from Cys/Hcy through different emission channels. Interestingly, Cys finishes the tandem reaction with the probe and subsequently forms amino-acridinium and Hcy/GSH induces SNAr reaction with the probe to form thio-acridiniums at weakly acidic conditions (pH 6.0), enabling Cys to be discriminated from Hcy/GSH at different emissions. Finally, we demonstrated that probe 1 can selectively probe GSH over Cys and Hcy or Cys over GSH and Hcy in HeLa cells through multicolor imaging.