Outcomes in hepatocellular carcinoma patients undergoing sorafenib treatment: toxicities, cellular oxidative stress, treatment adherence, and quality of life

Comprehensive analysis of ASB3 as a prognostic biomarker in hepatocellular carcinoma

BACKGROUND

Some reports have indicated a high expression level of ASB3 in various cancers, but its role in hepatocellular carcinoma (HCC) remains elusive.

METHODS

ASB3 levels and clinical features were obtained from the TCGA database. Meanwhile, the expression levels of ASB3 in tumor and paraneoplastic tissues were further verified by qRT-PCR and Imunohistochemistry (IHC). ASB3-related downstream molecular analysis was carried out with Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Pathways linked to ASB3 expression were identified by means of gene set enrichment analysis (GSEA). Single-sample GSEA (ssGSEA) aided in conducting a correlation analysis of ASB3 with immune infiltration. Functional experiments were performed in HepG2 cells by using the small interfering RNA.

RESULTS

ASB3 expression was remarkably higher in HCC tissues. Its remarkable precision in forecasting cancer suggests that ASB3 might serve as an unidentified diagnostic and prognostic indicator of HCC. Higher ASB3 expression led to worse overall survival (OS), particularly in various clinical subgroups of HCC. GO/KEGG analysis indicated that critical biological activities, such as the activation of complement systems and humoral immune response, could potentially underlie the progression of HCC. Furthermore, GSEA demonstrated enrichment of certain pathways, including the MAPK, IL17, and fibrinolysis pathways, in samples with elevated ASB3 levels. ASB3 exhibited a substantial association with T helper cells, dendritic cells (DCs), and central memory T (Tcm) cell infiltration level. Cell function experiments confirmed elevated ASB3 levels in HCC cell lines as opposed to hepatic epithelial cell lines. Moreover, the ability of HCC cells to proliferate and invade was remarkably reduced by ASB3 knockdown.

CONCLUSION

Summarize briefly, we found that ASB3 can be a promising biomarker in HCC.

Sorafenib versus Lenvatinib Causes Stronger Oxidative Damage to Membrane Lipids in Noncancerous Tissues of the Thyroid, Liver, and Kidney: Effective Protection by Melatonin and Indole-3-Propionic Acid

Sorafenib and lenvatinib are multi-targeted tyrosine kinase inhibitors which are currently approved to treat advanced hepatocellular carcinoma, renal cell carcinoma and radioiodine-refractory differentiated thyroid carcinoma. However this treatment is often limited due to common adverse events which may occur via oxidative stress. The study aims to compare sorafenib- and lenvatinib-induced oxidative damage to membrane lipids (lipid peroxidation, LPO) in homogenates of porcine noncancerous tissues of the thyroid, the liver, and the kidney and to check if it can be prevented by antioxidants melatonin and indole-3-propionic acid (IPA). Homogenates of individual tissues were incubated in the presence of sorafenib or lenvatinib (1 mM, 100 µM, 10 µM, 1 µM, 100 nM, 10 nM, 1 nM, 100 pM) together with/without melatonin (5.0 mM) or IPA (5.0 mM). The concentration of malondialdehyde + 4-hydroxyalkenals, as the LPO index, was measured spectrophotometrically. The incubation of tissue homogenates with sorafenib resulted in a concentration-dependent increase in LPO (statistically significant for concentrations of 1mM and 100 µM in the thyroid and the liver, and of 1 mM, 100 µM, and 10 µM in the kidney). The incubation of thyroid homogenates with lenvatinib did not change LPO level. In case of the liver and the kidney, lenvatinib increased LPO but only in its highest concentration of 1 mM. Melatonin and IPA reduced completely (to the level of control) sorafenib- and lenvatinib-induced LPO in all examined tissues regardless of the drug concentration. In conclusion, sorafenib comparing to lenvatinib is a stronger damaging agent of membrane lipids in noncancerous tissues of the thyroid, the liver, and the kidney. The antioxidants melatonin and IPA can be considered to be used in co-treatment with sorafenib and lenvatinib to prevent their undesirable toxicity occurring via oxidative stress.

Carbon Quantum Dots-Based Nanozyme from Coffee Induces Cancer Cell Ferroptosis to Activate Antitumor Immunity

Carbon quantum dots (CQDs) offer huge potential due to their enzymatic properties as compared to natural enzymes. Thus, discovery of CQDs-based nanozymes with low toxicity from natural resources, especially daily food, implies a promising direction for exploring treatment strategies for human diseases. Here, we report a CQDs-based biocompatible nanozyme prepared from chlorogenic acid (ChA), a major bioactive natural product from coffee. We found that ChA CQDs exhibited obvious GSH oxidase-like activities and subsequently promoted cancer cell ferroptosis by perturbation of GPX4-catalyzed lipid repair systems. In vivo, ChA CQDs dramatically suppressed the tumor growth in HepG2-tumor-bearing mice with negligible side toxicity. Particularly, in hepatoma H22-bearing mice, ChA CQDs recruited massive tumor-infiltrating immune cells including T cells, NK cells, and macrophages, thereby converting "cold" to "hot" tumors for activating systemic antitumor immune responses. Taken together, our study suggests that natural product-derived CQDs from coffee can serve as biologically safe nanozymes for anticancer therapeutics and may aid the development of nanotechnology-based immunotherapeutic.

Adverse reactions and adherence to capecitabine: A prospective study in patients with gastrointestinal cancer

INTRODUCTION

Capecitabine is an oral anticancer drug which can cause some adverse reactions and the great challenge for its use is to ensure the medication adherence. The aim of this study was to analyze adverse reactions and adherence to capecitabine in patients with gastrointestinal cancer.

METHODS

A prospective study was performed in a tertiary teaching hospital in Brazil. Outpatients undergoing capecitabine treatment for colorectal or gastric cancer were followed for three cycles of treatment. Patient demographic and clinical characteristics data were collected. Adverse reactions were analyzed using Common Terminology Criteria for Adverse Events (CTCAE) v.4. Adherence to capecitabine were evaluated using Morisky-Green and MedTake tests. Statistical analysis was conducted using Chi-square, Fisher's exact and McNemer tests.

RESULTS

One hundred and four patients were enrolled in this study, with a mean age was 58.5 ± 10.9 years; 51.0% were men and 51.0% Caucasian. Nausea and diarrhea were the most frequently reported adverse reactions (82.7% and 62.5%, respectively), followed by vomiting (54.8%), fatigue (54.8%), and hand-foot syndrome (53.9%). Nausea and diarrhea were also the most severe adverse reactions. Most patients were adherent to capecitabine in all cycles of treatment using the Morisky-Green test. Adherence increased significantly between cycle 1 and cycle 2 by MedTake test (p < 0.001). Some demographic and clinical characteristics were associated with adverse reactions (e.g., age and nausea, gender and nausea and vomiting) and capecitabine adherence (e.g., marital status and educational level) as well as some adverse reactions were associated with capecitabine adherence (hand-foot syndrome and nausea).

CONCLUSIONS

Clinical oncology pharmacists must provide patient information on the correct use of capecitabine, manage adverse reactions, and monitor adherence to treatment. Strategies to prevent non-adherence to capecitabine must be adopted to ensure the success of pharmacotherapy.

Immune infiltration-associated serum amyloid A1 predicts favorable prognosis for hepatocellular carcinoma

BACKGROUND

Serum amyloid A1 (SAA1) is an acute-phase protein involved in acute or chronic hepatitis. Its function is still controversial. In addition, the effect of the expression of SAA1 and its molecular function on the progression in hepatocellular carcinoma (HCC) is still unclear.

AIM

To demonstrate the expression of SAA1 and its effect on the prognosis in HCC and explain further the correlation of SAA1 and immunity pathways.

METHODS

SAA1 expression in HCC was conducted with The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) in GEPIA tool, and the survival analysis based on the SAA1 expression level was achieved in the Kaplan-Meier portal. The high or low expression group was then drawn based on the median level of SAA1 expression. The correlation of SAA1 and the clinical features were conducted in the UALCAN web-based portal with TCGA-LIHC, including tumor grade, patient disease stage, and the TP53 mutation. The correlation analysis between SAA1 expression and TP53 mutation was subjected to the TCGA portal. The tumor purity score and the immune score were analyzed with CIBERSORT. The correlation of SAA1 expression and tumor-infiltrating lymphocytes was achieved in TISIDB web-based integrated repository portal for tumor-immune system interactions. GSE125336 dataset was used to test the SAA1 expression in the responsive or resistant group with anti-PD1 therapy. Gene set enrichment analysis was applied to evaluate the gene enrichment signaling pathway in HCC. The similar genes of SAA1 in HCC were identified in GEPIA, and the protein-protein interaction of SAA1 was conducted in the Metascape tool. The expression of C-X-C motif chemokine ligand 2, C-C motif chemokine ligand 23, and complement C5a receptor 1 was studied and overall survival analysis in HCC was conducted in GEPIA and Kaplan-Meier portal, respectively.

RESULTS

SAA1 expression was decreased in HCC, and lower SAA1 expression predicted poorer overall survival, progression-free survival, and disease-specific survival. Furthermore, SAA1 expression was further decreased with increased tumor grade and patient disease stage. Also, SAA1 expression was further downregulated in patients with TP53 mutation compared with patients with wild type TP53. SAA1 expression was negatively correlated with the TP53 mutation. Lower SAA1 predicted poorer survival rate, especially in the patients with no hepatitis virus infection, other than those with hepatitis virus infection. Moreover, the SAA1 expression was negatively correlated with tumor purity. In contrast, SAA1 expression was positively correlated with the immune score in HCC, and the correlation analysis between SAA1 expression and tumor-infiltrating lymphocytes also showed a positive correlation in HCC. Decreased SAA1 was closely associated with the immune tolerance of HCC. C-X-C motif chemokine ligand 2 and C-C motif chemokine ligand 23 genes were identified as the hub genes associated with SAA1, which could also serve as favorable prognosis markers for HCC.

CONCLUSION

SAA1 is downregulated in the liver tumor, and it is closely involved in the progression of HCC. Lower SAA1 expression indicates lower survival rate, especially for those patients without hepatitis virus infection. Lower SAA1 expression also suggests lower immune infiltrating cells, especially for those with immune cells exerting anti-tumor immune function. SAA1 expression is closely associated with the anti-tumor immune pathways.