An mALBI-Child-Pugh-based nomogram for predicting post-hepatectomy liver failure grade B-C in patients with huge hepatocellular carcinoma: a multi-institutional study.

OBJECTIVE: Post-hepatectomy liver failure (PHLF) is a severe complication in patients with hepatocellular carcinoma (HCC) who underwent hepatectomy. This study aims to develop a nomogram of PHLF grade B-C in patients with huge HCC (diameter ≥ 10 cm). METHODS: We retrospectively collected clinical information of 514 and 97 patients who underwent hepatectomy for huge HCC at two medical centers between 2016 and 2021. Univariate and multivariate analysis were carried out to screen the independent risk factors of PHLF grade B-C, which were visualized as a nomogram. RESULTS: Three Hundred Forty Three Thousand One Hundred Seventy One  and 97 HCC patients were included in the training cohort, internal validation cohort, and external validation cohort, with probabilities of PHLF grade B-C of 15.1%, 12.9%, and 22.7%, respectively. Pre-operative modified albumin-bilirubin (mALBI) grade (p < 0.001), Child-Pugh classification (p = 0.044), international normalized ratio (INR) (p = 0.005), cirrhosis (p = 0.019), and intraoperative blood loss (p = 0.004) were found to be independently associated with PHLF grade B-C in the training cohort. All the five independent factors were considered in the establishment of the nomogram model. In the internal validation cohort and external validation cohort, the area under receiver operating characteristic curve for the nomogram in PHLF grade B-C prediction reached 0.823 and 0.740, respectively. Divided into different risk groups according to the optimal cut-off value, patients in the high-risk group reported significantly higher frequency of PHLF grade B-C than those in the low-risk group, both in the training cohort and the validation cohort (p < 0.001). CONCLUSIONS: The proposed noninvasive nomogram based on mALBI-Child-Pugh and three other indicators achieved optimal prediction performance of PHLF grade B-C in patients with huge HCC.

Do the existing staging systems for primary liver cancer apply to combined hepatocellular carcinoma-intrahepatic cholangiocarcinoma?

BACKGROUND: The incidence of combined hepatocellular carcinoma-intrahepatic cholangiocarcinoma (cHCC-ICC) is relatively low, and the knowledge about the prognosis of cHCC-ICC remains obscure. In the study, we aimed to screen existing primary liver cancer staging systems and shed light on the prognosis and risk factors for cHCC-ICC. METHODS: We retrospectively reviewed 206 cHCC-ICC patients who received curative surgical resection from April 1999 to March 2017. The correlation of survival measures with the histological types or with tumor staging systems was determined and predictive values of tumor staging systems with cHCC-ICC prognosis were compared. RESULTS: The histological type was not associated with overall survival (OS) (P = 0.338) or disease-free survival (DFS) (P = 0.843) of patients after curative surgical resection. BCLC, TNM for HCC, and TNM for ICC stages correlated with both OS and DFS in cHCC-ICC (all P < 0.05). The predictive values of TNM for HCC and TNM for ICC stages were similar in terms of predicting postoperative OS (P = 0.798) and DFS (P = 0.191) in cHCC-ICC. TNM for HCC was superior to BCLC for predicting postoperative OS (P = 0.022) in cHCC-ICC. CONCLUSION: The TNM for HCC staging system should be prioritized for clinical applications in predicting cHCC-ICC prognosis.

CXCL9 Overexpression Predicts Better HCC Response to Anti-PD-1 Therapy and Promotes N1 Polarization of Neutrophils.

Background: Anti-programmed death-1 (PD1) antibodies have changed the treatment landscape for hepatocellular carcinoma (HCC) and exhibit promising treatment efficacy. However, the majority of HCCs still do not respond to anti-PD-1 therapy. Methods: We analyzed the expression of CXCL9 in blood samples from patients who received anti-PD-1 therapy and evaluated its correlation with clinicopathological characteristics and treatment outcomes. Based on the results of Cox regression analysis, a nomogram was established for predicting HCC response to anti-PD-1 therapy. qRT‒PCR and multiple immunofluorescence assays were utilized to analyze the proportions of N1-type neutrophils in vitro and in tumor samples, respectively. Results: The nomogram showed good predictive efficacy in the training and validation cohorts and may be useful for guiding clinical treatment of HCC patients. We also found that HCC cell-derived CXCL9 promoted N1 polarization of neutrophils in vitro and that AMG487, a specific CXCR3 inhibitor, significantly blocked this process. Moreover, multiple immunofluorescence (mIF) showed that patients with higher serum CXCL9 levels had greater infiltration of the N1 phenotype of tumor-associated neutrophils (TANs). Conclusion: Our study highlights the critical role of CXCL9 as an effective biomarker of immunotherapy efficacy and in promoting the polarization of N1-type neutrophils; thus, targeting the CXCL9-CXCR3 axis could represent a novel pharmaceutical strategy to enhance immunotherapy for HCC.

Deubiquitination of CIB1 by USP14 promotes lenvatinib resistance via the PAK1-ERK1/2 axis in hepatocellular carcinoma.

Background: Lenvatinib is the most common multitarget receptor tyrosine kinase inhibitor for the treatment of advanced hepatocellular carcinoma (HCC). Acquired resistance to lenvatinib is one of the major factors leading to the failure of HCC treatment, but the underlying mechanism has not been fully characterized. Methods: We established lenvatinib-resistant cell lines, cell-derived xenografts (CDXs) and patient-derived xenografts (PDXs) and obtained lenvatinib-resistant HCC tumor tissues for further study. Results: We found that ubiquitin-specific protease 14 (USP14) was significantly increased in lenvatinib-resistant HCC cells and tumors. Silencing USP14 significantly attenuated lenvatinib resistance in vitro and in vivo. Mechanistically, USP14 directly interacts with and stabilizes calcium- and integrin-binding protein 1 (CIB1) by reversing K48-linked proteolytic ubiquitination at K24, thus facilitating the P21-activated kinase 1 (PAK1)-ERK1/2 signaling axis. Moreover, in vivo adeno-associated virus 9 mediated transduction of CIB1 promoted lenvatinib resistance in PDXs, whereas CIB1 knockdown resensitized the response of PDXs to lenvatinib. Conclusions: These findings provide new insights into the role of CIB1/PAK1-ERK1/2 signaling in lenvatinib resistance in HCC. Targeting CIB1 and its pathways may be a novel pharmaceutical intervention for the treatment of lenvatinib-resistant HCC.

Effectiveness and safety of lenvatinib plus anti-programmed death-1 antibodies in patients with hepatocellular carcinoma: A real-world cohort study.

OBJECTIVE: Lenvatinib plus anti-programmed death-1 (anti-PD-1) antibody combinations have shown potent anti-tumor effect in phase I/II trials in advanced or unresectable hepatocellular carcinoma (HCC), but real-world data are limited. METHODS: To investigate the effectiveness and safety of lenvatinib plus anti-PD-1 antibodies in a real-world cohort, we retrospectively evaluated 210 patients with unresectable or advanced HCC treated with these regimens between October 2018 and February 2022. RESULTS: The objective response rate and disease control rate per Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 were 28.1% and 75.2%. Median overall survival (OS) and progression-free survival (PFS) in the overall cohort were 17.2 and 8.4 months, respectively. Median OS and PFS of patients receiving first-line treatment reached 18.9 and 9.6 months. Median OS was significantly longer in patients with Child-Pugh class A versus B (18.8 vs. 5.9 months, respectively), as was median PFS (9.1 vs. 4.4 months). Patients with albumin-bilirubin (ALBI) grade 1 versus grade 2/3 also had significantly greater median OS (23.5 vs. 13.4 months). Treatment-related adverse events (AEs) occurred in 79.5% of patients. Patients with ALBI grade 2/3 had a higher rate of grade 3/4 AEs than patients with ALBI grade 1 (57.5% vs. 38.5%). CONCLUSION: Lenvatinib combined with anti-PD-1 antibody therapy was effective in patients with sufficient liver function reserve. Further study is needed to improve therapeutic efficacy and AE management in patients with Child-Pugh class B or ALBI grade 2/3.

The Safety Profile of Hepatectomy Following Preoperative Systemic Therapy with Lenvatinib Plus Anti-PD-1 Antibodies Versus Hepatectomy Alone in Patients With Hepatocellular Carcinoma.

Objective: To determine the safety of hepatectomy after combined lenvatinib and anti-PD-1 preoperative systemic therapy (PST) in patients with marginally resectable hepatocellular carcinoma (HCC). Background: PST followed by hepatectomy (PSTH) is an emerging treatment for HCC. However, the impact of PST with lenvatinib plus anti-PD-1 antibodies on surgical safety is unknown. Methods: Medical records from consecutive patients with marginally resectable advanced HCC who underwent hepatectomy after PST with lenvatinib and anti-PD-1 antibodies between January 2018 and August 2021 were retrieved from a prospectively designed database. Propensity score matching (1:2) was performed with a further 2318 HCC patients who underwent upfront hepatectomy (UH) without initial antitumor treatment during the same period. Results: In total, 49 and 98 matched patients were included in the PSTH and UH groups, respectively. Compared to the UH group, individuals in the PSTH group experienced more intraoperative blood loss, blood transfusions, and longer postoperative hospital stays. Moreover, posthepatectomy liver failure was more common in the PSTH group, who also had worse albumin-bilirubin (ALBI) scores on postoperative days 1-7. A significantly greater amount of drainage was also required in the PSTH group. However, the 30-day morbidity and 90-day mortality were similar among the two groups. Additionally, the duration of surgery, use of hepatic inflow occlusion during surgery, and the levels of postoperative inflammation-based markers were not statistically different between the two groups. Conclusions: Despite more intraoperative and postoperative adverse events, PSTH had comparable 30-day morbidity and 90-day mortality as UH. Thus, PSTH appears to be a viable treatment option for marginally resectable HCC patients with careful preoperative evaluation.

Abnormal arginine metabolism is associated with prognosis in patients of gastric cancer.

BACKGROUND: Metabolic disorder is a key factor in the occurrence and development of tumors. Metabolomics methods can explore a variety of prognostic markers for tumors. METHODS: The 454 patients included in this study comprised 92 cases of gastric cancer, 51 cases of gastric ulcers, 206 cases of gastric polyps, and 105 cases of gastritis. The plasma levels of 23 amino acids in patients before treatment were detected by liquid chromatography-tandem mass spectrometry, and t-test was used to determine the difference of amino acids levels between the gastric cancer group and other groups. Shared different amino acids were selected to analyze their relationship with staging, differentiation and prognosis. The TCGA database was used to explore the changes of genes expression related to the synthesis and degradation of different amino acids, and the relationship between the genes and stage, differentiation and prognosis. RESULTS: The plasma arginine level in the gastric cancer group was significantly higher than that in the gastric ulcer, gastric polyp, and gastritis groups (P values 0.0065, 0.0306, 0.0004, respectively).The level of plasma arginine in patients with non-metastatic gastric cancer was significantly higher than that in patients with metastatic gastric cancer (P=0.0013). Compared with the normal control, the key metabolic enzyme ASS1 gene was highly expressed in gastric cancer, and the survival time of gastric cancer patients with high expression of ASS1 was longer. Patients with high arginine expression had significantly longer survival (log-rank test P=0.0003). CONCLUSIONS: Increased plasma arginine level in gastric cancer patients was related to overexpression of ASS1 by TCGA database analysis. High expression of ASS1 prolonged the overall survival of gastric cancer patients, and the arginine level before treatment could be used as a prognostic factor.

A pan-cancer analysis of the expression of gasdermin genes in tumors and their relationship with the immune microenvironment.

BACKGROUND: Gasdermins (GSDMs) are a class of proteins related to pyrolysis and in humans, consist of GSDMA, GSDMB, GSDMC, GSDMD, DFNA5, and DFNB59. The inflammatory factors and cell contents released during pyrolysis can recruit immune cells and change the microenvironment. However, to date, there is a paucity of studies examining the relationship between GSDMs and the immune microenvironment in tumors. Therefore, this current report analyzed the expression of GSDM genes in tumors and their relationship with the immune microenvironment. METHODS: Apply GSCALite and GEPIA2 online analysis tools to analyze the gene expression levels and the Single nucleotide variant (SNV), copy number variation (CNV), and methylation characteristics of GSDM genes respectively. Use R software or TISIDB online analysis tool to carry out the correlation analysis required in the article. Furthermore, Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to examine the role of these GSDM genes in various cancers. RESULTS: The results demonstrated that CNV can cause an increase in GSDM gene expression, and methylation can inhibit GSDM gene expression. The elevated expression of GSDMA, GSDMB, GSDMC, GSDMD, and DFNA5 in some or most tumors was often accompanied by elevated immune scores, increased immune cell infiltration, and high expression of major histocompatibility complex (MHC) molecules, chemokines and their receptors, and immune checkpoint-related genes. However, DFNB59 was often negatively correlated with these indicators in tumors. GSDMD was the most highly expressed GSDM protein in various normal tissues and tumors, and showed the strongest correlation with immune microenvironment-related genes. Moreover, the methylation of GSDMD was accompanied by low immune cell infiltration, low expression of MHC molecule-related genes, low expression of chemokines and receptor-related genes, and low expression of immune checkpoint-related genes. CONCLUSIONS: Therefore, the expression of GSDM-related genes is associated with the tumor immune microenvironment. The GSDM genes, especially GSDMD, may be used as therapeutic targets to predict or change the tumor microenvironment and as biomarkers to predict the therapeutic efficacy of immune checkpoint inhibitors.