Retroperitoneal Laparoscopic Debridement and Drainage for Pancreatic Abscess.

In patients with severe necrotizing pancreatitis, pancreatic necrosis and secondary infection of surrounding tissues can quickly spread to the whole retroperitoneal space. Treatment of pancreatic abscess complicating necrotizing pancreatitis is difficult and has a high mortality rate. The well-accepted treatment strategy is early debridement of necrotic tissues, drainage, and postoperative continuous retroperitoneal lavage. However, traditional open surgery has several disadvantages, such as severe trauma, interference with abdominal organs, a high rate of postoperative infection and adhesion, and hardness with repeated debridement. The retroperitoneal laparoscopic approach has the advantages of minimal invasion, a better drainage route, convenient repeated debridement, and avoidance of the spread of retroperitoneal infection to the abdominal cavity. In addition, retroperitoneal drainage leads to fewer drainage tube problems, including miscounting, displacement, or siphon. The debridement and drainage of pancreatic abscess tissue via the retroperitoneal laparoscopic approach plays an increasingly irreplaceable role in improving patient prognosis and saving healthcare resources and costs. The main procedures described here include laying the patient on the right side, raising the lumbar bridge and then arranging the trocar; establishing the pneumoperitoneum and cleaning the pararenal fat tissues; opening the lateral pyramidal fascia and the perirenal fascia outside the peritoneal reflections; opening the anterior renal fascia and entering the anterior pararenal space from the rear; clearing the necrotic tissue and accumulating fluid; and placing drainage tubes and performing postoperative continuous retroperitoneal lavage.

Advanced lung cancer inflammation index predicts overall survival of hepatocellular carcinoma after hepatectomy.

Aim: Limited data are available regarding ALI's clinical relevance and prognostic value in patients with hepatocellular carcinoma (HCC) after hepatectomy. Materials and methods: HCC patients who received hepatectomy at the Meizhou People's Hospital from May 2011 to February 2022 were enrolled in the study cohort. The ALI was calculated as follows: ALI = BMI (kg/m2) × ALB (g/dL)/(absolute neutrophil count/absolute lymphocyte count). The primary outcome was overall survival (OS). The secondary outcome was cancer-specific survival (CSS). Univariate and multivariate Cox regression analyses were performed, followed by nomogram construction and decision curve analysis (DCA). Results: 425 HCC patients were enrolled for analyses. Lower preoperative ALI was significantly correlated with incomplete tumor capsule and advanced tumor stage. Lower preoperative ALI was an adverse independent prognostic factor for OS (HR: 1.512, 95% CI: 1.122-2.039, P 0.007) and CSS (HR: 1.754, 95% CI: 1.262-2.438, P <0.001) in HCC patients. The nomogram plot was built based on three (including age, TNM stage, and ALI) and two (including TNM stage and ALI) independent prognostic factors for OS and CSS, respectively. Further analyses indicated that the nomogram had better predictive value and some net benefit than the traditional TNM stage alone, especially in long-term OS. Conclusions: Our study further indicated that ALI could be a prognostic marker for OS and CSS in HCC patients after hepatectomy, especially in long-term OS.

Mini-ALPPS-based multidisciplinary treatment leading to long-term survival in a patient with a large HCC: A case report.

Background: The future liver remnant (FLR) induced by stage I associated liver partition and portal vein ligation for staged hepatectomy (ALPPS) in hepatocellular carcinoma (HCC) might be limited due to liver fibrosis/cirrhosis or incomplete liver parenchymal transection. Case presentation: A 51-year-old male with hepatitis B liver fibrosis was diagnosed with a large HCC (13.5 cm × 12.5 cm × 13.8 cm). The FLR of the patient was insufficient to permit one-stage tumor resection. Therefore, the two-stage ALPPS surgery was planned. Stage I ALPPS was performed with incomplete liver parenchymal transection due to bleeding (which is why we called it Mini-ALPPS). On postoperative day (POD) 18, CT revealed that the FLR hypertrophy was poor. The FLR/standard liver volume (SLV) had only increased from 22.00% to 34.63%. Salvage transhepatic arterial chemoembolization (TACE) was performed on POD 22 days to control possible tumor progression during the waiting period and to further facilitate FLR growth. About 16 days later, a CT reassessment of FLR revealed a 42.5% FLR/SLV. A right hepatectomy was then uneventfully performed. Although HCC recurred after 586 days, the patient survived for more than 1,920 days after stage II ALPPS. Discussion: Damage control during a difficult conventional stage I ALPPS was important. TACE during the interstage and postoperative periods of this Mini-ALPPS was safe and beneficial. A multidisciplinary based on Mini-ALPPS treatment could provide patients long-term survival; however, Mini-ALPPS should not be selected as the primary solution for such patients today, as some other minimally invasive and effective strategies are available.

Identification of METTL3 as an Adverse Prognostic Biomarker in Hepatocellular Carcinoma.

INTRODUCTION: N6-methyladenosine (m6A), the most prominent mRNA modification, plays a critical role in many physiological and pathological processes. However, the roles of m6A RNA modification in hepatocellular carcinoma (HCC) remain largely unknown. MATERIALS AND METHODS: We investigated the mRNA expression and clinical significance of m6A-related genes using data from The Cancer Genome Atlas (TCGA) liver hepatocellular carcinoma cohort. Mutation, copy number variation (CNV), methylation, differential expression, and gene ontology analyses, gene set enrichment analysis and the construction of a competing endogenous RNA (ceRNA) regulatory network were performed to investigate the underlying mechanisms of the aberrant expression of m6A-related genes. RESULTS: m6A-related genes were frequently dysregulated in cancers but with a cancer-specific pattern. METTL3, YTHDF2, and ZC3H13 were found to be independent prognostic factors of overall survival (OS); however, only METTL3 was found to be an independent prognostic factor of recurrence-free survival (RFS). Joint effects analysis showed the predictive capacity of combining METTL3, YTHDF2, and ZC3H13 for HCC OS. Then the potential mechanisms of METTL3 were further explored due to its prognostic role in both OS and RFS. CNV and DNA methylation, but not somatic mutations, might contribute to the abnormal upregulation of METTL3 in HCC. Significantly altered genes, microRNAs, and lncRNAs were identified, and a ceRNA regulatory network was constructed to explain the upregulation of METTL3 in HCC. CONCLUSIONS: Our study identified several m6A-related genes, especially METTL3, that could be potential prognostic biomarkers in HCC.

Identification of a four-gene metabolic signature predicting overall survival for hepatocellular carcinoma.

While hundreds of consistently altered metabolic genes had been identified in hepatocellular carcinoma (HCC), the prognostic role of them remains to be further elucidated. Messenger RNA expression profiles and clinicopathological data were downloaded from The Cancer Genome Atlas-Liver Hepatocellular Carcinoma and GSE14520 data set from the Gene Expression Omnibus database. Univariate Cox regression analysis and lasso Cox regression model established a novel four-gene metabolic signature (including acetyl-CoA acetyltransferase 1, glutamic-oxaloacetic transaminase 2, phosphatidylserine synthase 2, and uridine-cytidine kinase 2) for HCC prognosis prediction. Patients in the high-risk group shown significantly poorer survival than patients in the low-risk group. The signature was significantly correlated with other negative prognostic factors such as higher α-fetoprotein. The signature was found to be an independent prognostic factor for HCC survival. Nomogram including the signature shown some clinical net benefit for overall survival prediction. Furthermore, gene set enrichment analyses revealed several significantly enriched pathways, which might help explain the underlying mechanisms. Our study identified a novel robust four-gene metabolic signature for HCC prognosis prediction. The signature might reflect the dysregulated metabolic microenvironment and provided potential biomarkers for metabolic therapy and treatment response prediction in HCC.

Key genes associated with diabetes mellitus and hepatocellular carcinoma.

Accumulating evidence indicates a strong correlation between type 2 diabetes mellitus (T2DM) and hepatocellular carcinoma (HCC), but the underlying pathophysiology is still elusive. We aimed to identify unrecognized but important genes and pathways related to T2DM and HCC by bioinformatic analysis. The GSE64998 and GSE15653 datasets (for T2DM), the GSE121248 dataset and the Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) dataset (for HCC) were downloaded. Differential expression analysis, functional and pathway enrichment analysis, protein-protein interaction (PPI) network construction, survival analysis, transcription factor (TF) prediction, and correlation of gene expression with methylation and tumour-infiltrating immune cells were conducted. Nine genes, namely, CDNF, CRELD2, DNAJB11, DTL, GINS2, MANF, PDIA4, PDIA6, and VCP, were recognized as hub genes. Enrichment analysis revealed several enriched terms and pathways. Transcription factors such as Kruppel-like factor 6, abnormal methylation and immune dysregulation might help explain the dysregulation of hub genes. Our study identified nine hub genes that might play a critical role in both T2DM and HCC. However, more studies are warranted to clarify the mechanisms of these genes.

Identification of a six-gene signature predicting overall survival for hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) remains a major challenge for public health worldwide. Considering the great heterogeneity of HCC, more accurate prognostic models are urgently needed. To identify a robust prognostic gene signature, we conduct this study. MATERIALS AND METHODS: Level 3 mRNA expression profiles and clinicopathological data were obtained in The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC). GSE14520 dataset from the gene expression omnibus (GEO) database was downloaded to further validate the results in TCGA. Differentially expressed mRNAs between HCC and normal tissue were investigated. Univariate Cox regression analysis and lasso Cox regression model were performed to identify and construct the prognostic gene signature. Time-dependent receiver operating characteristic (ROC), Kaplan-Meier curve, multivariate Cox regression analysis, nomogram, and decision curve analysis (DCA) were used to assess the prognostic capacity of the six-gene signature. The prognostic value of the gene signature was further validated in independent GSE14520 cohort. Gene Set Enrichment Analyses (GSEA) was performed to further understand the underlying molecular mechanisms. The performance of the prognostic signature in differentiating between normal liver tissues and HCC were also investigated. RESULTS: A novel six-gene signature (including CSE1L, CSTB, MTHFR, DAGLA, MMP10, and GYS2) was established for HCC prognosis prediction. The ROC curve showed good performance in survival prediction in both the TCGA HCC cohort and the GSE14520 validation cohort. The six-gene signature could stratify patients into a high- and low-risk group which had significantly different survival. Cox regression analysis showed that the six-gene signature could independently predict OS. Nomogram including the six-gene signature was established and shown some clinical net benefit. Furthermore, GSEA revealed several significantly enriched oncological signatures and various metabolic process, which might help explain the underlying molecular mechanisms. Besides, the prognostic signature showed a strong ability for differentiating HCC from normal tissues. CONCLUSIONS: Our study established a novel six-gene signature and nomogram to predict overall survival of HCC, which may help in clinical decision making for individual treatment.

Prognostic role of PD-L1 for HCC patients after potentially curative resection: a meta-analysis.

BACKGROUND: A series of studies has investigated the prognostic role and clinical significance of programmed death ligand 1 (PD-L1) in hepatocellular carcinoma (HCC). However, the results were inconsistent. We aimed to clarify the prognostic role of PD-L1 and relationship between PD-L1 expression and several important clinicopathological features. METHODS: PubMed, EMBASE and the Science Citation Index Expanded were systematically searched. All cohort or case-control studies comparing the prognosis and clinical features between the high PD-L1 and low PD-L1 groups were included. Publication bias was evaluated using funnel plots and Begg's test. Subgroup analysis, sensitivity analysis and meta-regression analysis were performed. RESULTS: Seventeen studies including 2979 patients were eligible. The overall survival (OS) was not significantly different between the high and low PD-L1 groups (hazard ratio [HR]: 1.27; 95% confidence interval [CI] 0.98-1.65: P = 0.07) with significant heterogeneity (P < 0.001; I2 = 81%). The recurrence-free survival (RFS) was not significantly different between the high and low PD-L1 groups (HR: 1.22; 95% CI 0.97-1.53; P = 0.09) with significant heterogeneity (P < 0.001; I2 = 78%). The expression of PD-L1 was found to be significantly correlated with alpha-fetoprotein, hepatitis history, and tumour-infiltrating lymphocytes. Begg's test found no significant publication bias for OS and RFS. Sensitivity analysis established the robustness of our results. Subgroup analysis and meta-regression analysis found the region of research as a significant contributor to inter-study heterogeneity in RFS, indicating some racial differences in the prognostic role of PD-L1. CONCLUSIONS: Our study found no significant prognostic role of PD-L1 in HCC patients after potential curative hepatectomy based on our included studies. The expression of PD-L1 was significantly correlated with AFP, hepatitis history, and TILs. The prognostic role of PD-L1 in HCC warrants further investigation.

Restoration of FBP1 suppressed Snail-induced epithelial to mesenchymal transition in hepatocellular carcinoma.

Fructose-1,6-bisphosphatase (FBP1), one of the rate-limiting gluconeogenic enzymes, plays critical roles in several cancers and is treated as a tumour suppressor. However, its role in hepatocellular carcinoma (HCC) is unclear. Here, we demonstrated that FBP1 was significantly inhibited during Snail-induced epithelial to mesenchymal transition (EMT) and tissues in HCC. Restoration of FBP1 expression in HCC cancer cells suppressed EMT phenotype, tumour migration and tumour growth induced by Snail overexpression in SMMC-7721 cells. Gene set enrichment analyses revealed significantly enriched terms, including WNT, Notch, ESC, CSR and PDGF, in the group with high Snail and low FBP1 compared with those with low Snail and high FBP1. Low FBP1 expression was significantly correlated with higher AFP level, satellite nodules, portal vein tumour thrombus, and advanced tumour stage. Survival analyses showed that FBP1 was an independent prognostic factor for overall survival and recurrence-free survival. In conclusion, our study revealed a vital role for FBP1 in Snail-induced EMT and prognostic prediction in HCC.

Targeting FBPase is an emerging novel approach for cancer therapy.

Cancer is a leading cause of death in both developed and developing countries. Metabolic reprogramming is an emerging hallmark of cancer. Glucose homeostasis is reciprocally controlled by the catabolic glycolysis and anabolic gluconeogenesis pathways. Previous studies have mainly focused on catabolic glycolysis, but recently, FBPase, a rate-limiting enzyme in gluconeogenesis, was found to play critical roles in tumour initiation and progression in several cancer types. Here, we review recent ideas and discoveries that illustrate the clinical significance of FBPase expression in various cancers, the mechanism through which FBPase influences cancer, and the mechanism of FBPase silencing. Furthermore, we summarize some of the drugs targeting FBPase and discuss their potential use in clinical applications and the problems that remain unsolved.