PPM1D is a potential prognostic biomarker and correlates with immune cell infiltration in hepatocellular carcinoma

IL-8-NF-κB-ALDH1A1 loop promotes the progression of intrahepatic cholangiocarcinoma

BACKGROUND

Intrahepatic cholangiocarcinoma (ICC) is a poor prognosis of malignant cancer with high lymph node metastasis and resistance to systemic therapies. Recent studies suggested that the involvement of IL-8 could promote ICC metastasis through epithelial-mesenchymal transition while the ICC-ALDH1A1high subtype is clarified by multi-omics study. The correlation between ALDH1A1 and IL-8 in ICC remains elusive. This study aims to further explore the roles and regulatory mechanisms of ALDH1A1 and IL-8 in ICC.

METHODS

We analyzed IL-8 and ALDH1A1 expression in ICC patients and cells. CXCR2 inhibitor (SB225002) was applied to inhibit the function of IL-8, and JSH-23 was applied to inhibit the NF-κB signaling pathway. We examined the effects of IL-8 inhibition on NF-κB, ALDH1A1 expression, and cell growth, migration, invasion, and stemness. Moreover, we examined the effects of ALDH1A1 on NF-κB, IL-8 expression, and cell growth, migration, invasion, and stemness. The effects of IL-8 and ALDH1A1 on tumor growth and NF-κB expression were validated using subcutaneous tumors in nude mice.

RESULTS

IL-8-derived tumor cells could promote ICC progression. The high expression of IL-8 in serum was associated with lymph node metastasis. IL-8 could upregulate ALDH1A1 expression by activating the NF-κB signaling pathway, promoting tumor progression. Upregulation of ALDH1A1 could activate NF-κB to promote IL-8 secretion, forming a positive feedback loop to promote tumor invasiveness and cell stemness in ICC.

CONCLUSIONS

IL-8-derived tumor cells could upregulate ALDH1A1 expression by activating the NF-κB signaling pathway, promoting tumor progression. Upregulation of ALDH1A1 could activate NF-κB to promote IL-8 secretion, forming a positive feedback loop to promote tumor invasiveness and cell stemness in ICC.

The role of the PPM1D gene in tumor pathogenesis

The PPM1D gene and its protein product (serine-threonine protein phosphatase, PPM1D or Wip1) are involved in regulation of cell's DNA damage response, cell cycle control, and repair. Amplification, overexpression, or mutations of the PPM1D gene have a significant impact on cell responses to stress factors and genetic instability as well as impairments of processes of double-strand break repair, nucleotide excision repair, base excision repair, cell cycle, and apoptosis. PPM1D dephosphorylates and thus inactivates p53, proteins that respond to DNA strand integrity damage, cell cycle checkpoint proteins, and apoptotic proteins. This contributes to tumor development, growth, and maintenance of the tumor phenotype. In this review we consider data on the role of the PPM1D gene in the formation and maintenance of various oncological processes, including tumors of the mammary glands, ovaries, prostate gland, esophagus, stomach, intestines, liver and pancreas, hemoblastoses, and others.

Protein serine/threonine phosphatases in tumor microenvironment: a vital player and a promising therapeutic target

The tumor microenvironment (TME) is involved in cancer initiation and progression. With advances in the TME field, numerous therapeutic approaches, such as antiangiogenic treatment and immune checkpoint inhibitors, have been inspired and developed. Nevertheless, the sophisticated regulatory effects on the biological balance of the TME remain unclear. Decoding the pathological features of the TME is urgently needed to understand the tumor ecosystem and develop novel antitumor treatments. Protein serine/threonine phosphatases (PSPs) are responsible for inverse protein phosphorylation processes. Aberrant expression and dysfunction of PSPs disturb cellular homeostasis, reprogram metabolic processes and reshape the immune landscape, thereby contributing to cancer progression. Some therapeutic implications, such as the use of PSPs as targets, have drawn the attention of researchers and clinicians. To date, the effects of PSP inhibitors are less satisfactory in real-world practice. With breakthroughs in sequencing technologies, scientists can decipher TME investigations via multiomics and higher resolution. These benefits provide an opportunity to explore the TME in a more comprehensive manner and inspire more findings concerning PSPs in the TME. The current review starts by introducing the canonical knowledge of PSPs, including their members, structures and posttranslational modifications for activities. We then summarize the functions of PSPs in regulating cellular homeostasis. In particular, we specified the up-to-date roles of PSPs in modulating the immune microenvironment, adopting hypoxia, reprogramming metabolic processes, and responding to extracellular matrix remodeling. Finally, we introduce preclinical PSP inhibitors with translational value and conclude with clinical trials of PSP inhibitors for cancer treatment.

Predicting drug response through tumor deconvolution by cancer cell lines

Large-scale cancer drug sensitivity data have become available for a collection of cancer cell lines, but only limited drug response data from patients are available. Bridging the gap in pharmacogenomics knowledge between in vitro and in vivo datasets remains challenging. In this study, we trained a deep learning model, Scaden-CA, for deconvoluting tumor data into proportions of cancer-type-specific cell lines. Then, we developed a drug response prediction method using the deconvoluted proportions and the drug sensitivity data from cell lines. The Scaden-CA model showed excellent performance in terms of concordance correlation coefficients (>0.9 for model testing) and the correctly deconvoluted rate (>70% across most cancers) for model validation using Cancer Cell Line Encyclopedia (CCLE) bulk RNA data. We applied the model to tumors in The Cancer Genome Atlas (TCGA) dataset and examined associations between predicted cell viability and mutation status or gene expression levels to understand underlying mechanisms of potential value for drug repurposing.

AFB1 Triggers Lipid Metabolism Disorders through the PI3K/Akt Pathway and Mediates Apoptosis Leading to Hepatotoxicity

As the most prevalent mycotoxin in agricultural products, aflatoxin B1 not only causes significant economic losses but also poses a substantial threat to human and animal health. AFB1 has been shown to increase the risk of hepatocellular carcinoma (HCC) but the underlying mechanism is not thoroughly researched. Here, we explored the toxicity mechanism of AFB1 on human hepatocytes following low-dose exposure based on transcriptomics and lipidomics. Apoptosis-related pathways were significantly upregulated after AFB1 exposure in all three hES-Hep, HepaRG, and HepG2 hepatogenic cell lines. By conducting a comparative analysis with the TCGA-LIHC database, four biomarkers (MTCH1, PPM1D, TP53I3, and UBC) shared by AFB1 and HCC were identified (hazard ratio > 1), which can be used to monitor the degree of AFB1-induced hepatotoxicity. Simultaneously, AFB1 induced abnormal metabolism of glycerolipids, sphingolipids, and glycerophospholipids in HepG2 cells (FDR < 0.05, impact > 0.1). Furthermore, combined analysis revealed strong regulatory effects between PIK3R1 and sphingolipids (correlation coefficient > 0.9), suggesting potential mediation by the phosphatidylinositol 3 kinase (PI3K) /protein kinase B (AKT) signaling pathway within mitochondria. This study revealed the dysregulation of lipid metabolism induced by AFB1 and found novel target genes associated with AFB-induced HCC development, providing reliable evidence for elucidating the hepatotoxicity of AFB as well as assessing food safety risks.

Targeting the p53 signaling pathway in cancers: Molecular mechanisms and clinical studies

Tumor suppressor p53 can transcriptionally activate downstream genes in response to stress, and then regulate the cell cycle, DNA repair, metabolism, angiogenesis, apoptosis, and other biological responses. p53 has seven functional domains and 12 splice isoforms, and different domains and subtypes play different roles. The activation and inactivation of p53 are finely regulated and are associated with phosphorylation/acetylation modification and ubiquitination modification, respectively. Abnormal activation of p53 is closely related to the occurrence and development of cancer. While targeted therapy of the p53 signaling pathway is still in its early stages and only a few drugs or treatments have entered clinical trials, the development of new drugs and ongoing clinical trials are expected to lead to the widespread use of p53 signaling-targeted therapy in cancer treatment in the future. TRIAP1 is a novel p53 downstream inhibitor of apoptosis. TRIAP1 is the homolog of yeast mitochondrial intermembrane protein MDM35, which can play a tumor-promoting role by blocking the mitochondria-dependent apoptosis pathway. This work provides a systematic overview of recent basic research and clinical progress in the p53 signaling pathway and proposes that TRIAP1 is an important therapeutic target downstream of p53 signaling.

Vascular endothelial growth factor A is a potential prognostic biomarker and correlates with immune cell infiltration in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related deaths among cancer patients. Vascular endothelial growth factor A (VEGFA) is involved in regulating biological processes, such as angiogenesis and vascular permeability, and is very closely related to the pathogenesis of various tumours, especially vascular-rich, solid tumours. Clinical data of patients with HCC and other tumours were analysed through public databases, such as the TCGA database, Gene Expression Omnibus database, Human Protein Atlas database, STRING, Tumour Immune Estimation Resource and Kaplan-Meier Plotter. The tumour tissues and adjacent normal tissues of patients with HCC from Hunan Provincial People's Hospital were collected to verify the expression of VEGFA by immunohistochemistry, immunofluorescence, Western blotting and qPCR. VEGFA expression is elevated in multiple tumour types and correlates with the prognosis of tumour patients. VEGFA is involved in regulating the tumour microenvironment and immune cell function in tumour development. Inhibition of VEGFA reduces proliferation, invasion, and migration and promotes apoptosis in HCC cells. VEGFA is a potential predictive biomarker for the diagnosis and prognosis of HCC.

Comprehensive Analysis of the Prognostic Values of the TRIM Family in Hepatocellular Carcinoma

Background

Accumulating studies have demonstrated the abnormal expressions and prognostic values of certain members of the tripartite motif (TRIM) family in diverse cancers. However, comprehensive prognostic values of the TRIM family in hepatocellular carcinoma (HCC) are yet to be clearly defined.

Methods

The prognostic values of the TRIM family were evaluated by survival analysis and univariate Cox regression analysis based on gene expression data and clinical data of HCC from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The expression profiles, protein–protein interaction among the TRIM family, prediction of transcription factors (TFs) or miRNAs, genetic alterations, correlations with the hallmarks of cancer and immune infiltrates, and pathway enrichment analysis were explored by multiple public databases. Further, a TRIM family gene-based signature for predicting overall survival (OS) in HCC was built by using the least absolute shrinkage and selection operator (LASSO) regression. TCGA–Liver Hepatocellular Carcinoma (LIHC) cohort was used as the training set, and GSE76427 was used for external validation. Time-dependent receiver operating characteristic (ROC) and survival analysis were used to estimate the signature. Finally, a nomogram combining the TRIM family risk score and clinical parameters was established.

Results

High expressions of TRIM family members including TRIM3, TRIM5, MID1, TRIM21, TRIM27, TRIM32, TRIM44, TRIM47, and TRIM72 were significantly associated with HCC patients’ poor OS. A novel TRIM family gene-based signature (including TRIM5, MID1, TRIM21, TRIM32, TRIM44, and TRIM47) was built for OS prediction in HCC. ROC curves suggested the signature’s good performance in OS prediction. HCC patients in the high-risk group had poorer OS than the low-risk patients based on the signature. A nomogram integrating the TRIM family risk score, age, and TNM stage was established. The ROC curves suggested that the signature presented better discrimination than the similar model without the TRIM family risk score.

Conclusion

Our study identified the potential application values of the TRIM family for outcome prediction in HCC.