Elevated TRIP13 drives the AKT/mTOR pathway to induce the progression of hepatocellular carcinoma via interacting with ACTN4

Advancing the development of TRIP13 inhibitors: A high-throughput screening approach

TRIP13, a promising target for cancer therapy, has been identified as a key regulator of the mitotic checkpoint. Overexpression of TRIP13 is associated with poor clinical outcomes in various cancers. Inhibition of TRIP13 has the potential to address therapeutic challenges in cancer, particularly in therapy-resistant and Rb-deficient cancers. Despite the potential therapeutic benefits of TRIP13 inhibition, the development of TRIP13 inhibitors has been hindered by the lack of a robust high-throughput screening (HTS) assay. We developed a luminescence-based biochemical assay for TRIP13 activity to address this challenge using the ADP-Glo detection system. This assay offers high sensitivity, low background signal, and ease of automation, making it ideal for HTS applications. A pilot screen of kinase-focused inhibitors library and a large-scale screen of 4000 additional compounds demonstrated the assay's robust performance with a z'-factor exceeding 0.85 and a signal-to-background (S/B) ratio near 6. From the 50 initial hits, rigorous validation identified anlotinib as the most potent TRIP13 inhibitor with an IC50 of 5 μM. A cellular thermal shift assay (CETSA) confirmed the direct binding of anlotinib to TRIP13, validating the potential of our biochemical assay for identifying novel TRIP13 inhibitors. Our study provides a valuable tool for discovering novel TRIP13 inhibitors and advances our understanding of the therapeutic potential of targeting TRIP13 in cancer.

Identification and validation a novel kinase-related gene signature for predicting prognosis and responsiveness to immunotherapy in hepatocellular carcinoma

Liver cancer research highlights the kinome's critical role in disease initiation and progression. However, comprehensive data analysis on the kinome's impact on hepatocellular carcinoma (HCC) prognosis is limited. We used the TCGA-LIHC mRNA expression profiles, analyzing them with various R packages. Key methods included univariate Cox regression for prognostic gene identification, consensus clustering for subtype classification, Gene Set Enrichment Analysis (GSEA), and immune landscape evaluation. A prognostic model was developed using LASSO Cox regression, and chemotherapy drug sensitivity was assessed using the pRRophetic package. We identified 45 kinases-related differentially expressed genes (DEGs), with 27 linked to HCC prognosis. Cluster analysis divided these genes into two subtypes, with distinct prognoses. We discovered 157 DEGs between kinase-related subtypes, 120 of which were prognostically relevant. A kinase-related gene signature (KRS) was developed for prognostic prediction. The high-KRS group showed poorer survival in TCGA-LIHC and validation cohorts, with notable differences in immune cell infiltration and checkpoint gene expression. This group also showed varying sensitivity to common drugs and anti-PD-L1 treatment. In contrast, the low-KRS group might respond better to anti-PD-1 immunotherapy. Our study introduces a kinase-related gene signature as a novel tool for predicting HCC prognosis. This signature aids in tailoring personalized treatment strategies, potentially improving clinical outcomes in HCC patients.

Machine learning-based identification of telomere-related gene signatures for prognosis and immunotherapy response in hepatocellular carcinoma

Telomere in cancers shows a main impact on maintaining chromosomal stability and unlimited proliferative capacity of tumor cells to promote cancer development and progression. So, we targeted to detect telomere-related genes(TRGs) in hepatocellular carcinoma (HCC) to develop a novel predictive maker and response to immunotherapy. We sourced clinical data and gene expression datasets of HCC patients from databases including TCGA and GEO database. The TelNet database was utilized to identify genes associated with telomeres. Genes with altered expression from TCGA and GSE14520 were intersected with TRGs, and Cox regression analysis was conducted to pinpoint genes strongly linked to survival prognosis. The risk model was developed using the Least Absolute Shrinkage and Selection Operator (LASSO) regression technique. Subsequently, evaluation of the risk model focused on immune cell infiltration, checkpoint genes, drug responsiveness, and immunotherapy outcomes across both high- and low-risk patient groups. We obtained 25 TRGs from the overlapping set of 34 genes using Cox regression analysis. Finally, six TRGs (CDC20, TRIP13, EZH2, AKR1B10, ESR1, and DNAJC6) were identified to formulate the risk score (RS) model, which independently predicted prognosis for HCC. The high-risk group demonstrated worse survival outcomes and showed elevated levels of infiltration by Macrophages M0 and Tregs. Furthermore, a notable correlation was observed between the genes in the risk model and immune checkpoint genes. The RS model, derived from TRGs, has been validated for its predictive value in immunotherapy outcomes. In conclusion, this model not only predicted the prognosis of HCC patients but also their immune responses, providing innovative strategies for cancer therapy.

Prognostic assessment of early-stage liver cirrhosis induced by HCV using an integrated model of CX3CR1-associated immune infiltration genes

Chemokine (C-X3-C motif) Receptor 1 (CX3CR1) primarily mediates the chemotaxis and adhesion of immune cells. However, its role in hepatitis C virus (HCV)-induced early-stage liver cirrhosis remains unexplored. GSE15654 was downloaded from the GEO database. The Cox regression model, CIBERSORT, and LASSO technique were utilized to identify CX3CR1-associated immune infiltration genes (IIGs). Surgical resection samples were collected for verification, including 3 healthy controls (HC), 4 individuals with HCV-induced hepatic cirrhosis, and 3 with HCV-induced liver failure. High CX3CR1 expression correlated with worse prognosis in early-stage cirrhosis. CX3CR1-associated IIGs, namely ACTIN4, CD1E, TMCO1, and WSF1, were identified, showing specific expression in the livers of individuals with post-hepatic cirrhosis and liver failure compared to HC. LOC400499 and MTHFD2 were elevated in individuals with liver failure in comparison to those with hepatocirrhosis. Notably, high infiltration of plasma cells and low infiltration of monocytes were predictive of poor prognosis in early-stage cirrhosis. The combined risk model predicted that high expression of CX3CR1-associated IIGs and increased infiltration of plasma cells were associated with unfavorable prognosis in individuals with HCV-induced early-stage liver cirrhosis. The developed combined risk model effectively predicted the prognosis of these individuals.

METTL3-Dependent YTHDF2 Mediates TSC1 Expression to Regulate Alveolar Epithelial Mesenchymal Transition and Promote Idiopathic Pulmonary Fibrosis

Diffuse, progressive interstitial lung disease with few treatment options and low survival rates is known as idiopathic pulmonary fibrosis (IPF). Alveolar epithelial cell damage and dysfunction are the main features of IPF. TSC1 has been documented to exert a pivotal function in governing cellular growth, proliferation, and ontogenesis. This work investigated TSC1's function and mechanism in IPF. Mice were given BLM to cause pulmonary fibrosis, and A549 cells underwent epithelial mesenchymal transition (EMT) in response to TGF-β1. According to the data, TSC1 expression was reduced in IPF. Overexpression of TSC1 was established by adenopathy-associated virus in vivo and adenovirus in vitro to significantly block the EMT process. Besides, the findings from the RNA-sequencing analysis indicate that overexpression of TSC1 mitigated the EMT process by suppressing the activation of the AKT/mTOR pathway via downregulation of ACTN4 expression. To examine the upstream regulatory mechanism, we employed the SRAMP database to predict m6A modification of TSC1 mRNA, followed by verification of m6A modification levels and expression using MERIP-qPCR, Dot blot, RT-qPCR, and WB. The results indicated a high degree of m6A modification in TSC1 mRNA in pulmonary fibrosis. The expression of METTL3 was further found to be significantly elevated. METTL3 knockdown impeded EMT progression. METTL3 inhibits TSC1 expression by increasing TSC1 m6A modification through the reading protein YTHDF2. In conclusion, our study elucidated that the METTL3/YTHDF2/TSC1 signaling axis activates the AKT/mTOR pathway to promote the development of IPF. This study provides potential molecular-level therapeutic targets for IPF disease.

Telomere-methylation genes: Novel prognostic biomarkers for hepatocellular carcinoma

BACKGROUND

Since telomere length and DNA methylation both correlate with hepatocellular carcinoma (HCC) prognosis, telomere-methylation genes could be novel prognostic markers for HCC.

METHOD

This study first investigated the interaction between telomere length and DNA methylation in HCC through Mendelian randomization analysis. Then, this study identified telomere-methylation genes in HCC by employing the TCGA-LIHC cohort, and explored the expression patterns of these genes in the tumor microenvironment of HCC and potential underlying mechanisms. Finally, the HCC risk-scoring model and prognostic model based on these genes were established, and the performance of the model was assessed.

RESULT

The findings revealed a bidirectional relationship between telomere length and DNA methylation in HCC. Fifty telomere-methylation genes were identified, and the prognosis-related telomere-methylation genes were closely associated with Treg and Tprolif cell subsets within the HCC tumor microenvironment. Telomere-methylation genes could potentially impact the prognosis of HCC patients by modulating chromosome stability and regulating the cell cycle. Additionally, the constructed risk scoring model and prognostic prediction model showcased compelling clinical applicability, as evidenced by the receiver operating characteristic curve, the decision curve analysis, and the calibration curves.

CONCLUSION

This study elucidated the potential of telomere-methylation genes as prognostic biomarkers for HCC and paves the way for novel approaches in prognostication and treatment management for HCC patients.

TRIP13: A promising cancer immunotherapy target

The tumor microenvironment (TME) facilitates tumor development through intricate intercellular signaling, thereby supporting tumor growth and suppressing the immune response. Thyroid hormone receptor interactor 13 (TRIP13), an AAA+ ATPase, modulates the conformation of client macromolecules, consequently influencing cellular signaling pathways. TRIP13 has been implicated in processes such as proliferation, invasion, migration, and metastasis during tumor progression. Recent studies have revealed that TRIP13 also plays a role in immune response suppression within the TME. Thus, inhibiting these functions of TRIP13 could potentially enhance immune responses and improve the efficacy of immune checkpoint inhibition. This review summarizes the recent research progress of TRIP13 and discusses the potential of targeting TRIP13 to improve immune-based therapies for patients with cancer.

Lnc-LINC00511 promotes gastric cancer progression by regulating MiR-29c-3p/TRIP13 axis through AKT/mTOR pathway

Thyroid hormone receptor-interacting factor 13 (TRIP13) contributes to the development of several cancers, including hepatocellular carcinoma (HCC). Although these studies have found that TRIP13 is involved in other cancers, its specific function in gastric cancer requires further investigation. Therefore, this study aimed to investigate the hypothesis that LINC00511 may act as an oncogenic factor in gastric cancer by influencing and regulating the expression level of TRIP13. This relationship has the potential to reveal the molecular mechanisms driving gastric cancer progression and further elucidate the roles of LINC00511 and TRIP13 in gastric cancer. In this study, we confirmed that LINC00511 could act as a ceRNA targeting miR-29c-3p to further regulate the expression of TRIP13. LINC00511 was also found to be able to be positively regulated by the transcription factor IRF9. In addition, TRIP13 could activate the AKT/mTOR pathway by interacting with its downstream protein ACTN2, thus promoting the proliferation of GC cells. lnc-LINC00511 could promote GC progression by regulating the miR-29c-3p/TRIP13 axis and activating the AKT/mTOR pathway.

Role of TRIP13 in human cancer development

As an AAA + ATPase, thyroid hormone receptor interacting protein 13 (TRIP13) primarily functions in DNA double-strand break repair, chromosome recombination, and cell cycle checkpoint regulation; aberrant expression of TRIP13 can result in chromosomal instability (CIN). According to recent research, TRIP13 is aberrantly expressed in a variety of cancers, and a patient's poor prognosis and tumor stage are strongly correlated with high expression of TRIP13. Tumor cell and subcutaneous xenograft growth can be markedly inhibited by TRIP13 knockdown or TRIP13 inhibitor administration. In the initiation and advancement of human malignancies, TRIP13 seems to function as an oncogene. Based on available data, TRIP13 may function as a biological target and biomarker for cancer. The creation of inhibitors that specifically target TRIP13 may present novel approaches to treating cancer.

TRIP13 - a potential drug target in cancer pharmacotherapy

ATPases Associated with Diverse Cellular Activity (AAA+ATPases) are important enzymatic functional proteins in human cells. Thyroid Hormone Receptor Interacting Protein-13 (TRIP13) is a member of this protein superfamily, that partly regulates DNA repair pathways and spindle assembly checkpoints during mitosis. TRIP13 is reported as an oncogene involving multiple pathways in many human malignancies, including multiple myeloma, brain tumors, etc. The structure of TRIP13 reveals the mechanisms for ATP binding and how TRIP13 recognizes the Mitotic Arrest Deficiency-2 (MAD2) protein, with p31comet acting as an adapter protein. DCZ0415, TI17, DCZ5417, and DCZ5418 are the reported small-molecule inhibitors of TRIP13, which have been demonstrated to inhibit TRIP13's biological functions significantly and effective in suppressing various types of malignant cells, indicating that TRIP13 is a significant anticancer drug target. Currently, no systematic reviews are cutting across the functions, structure, and novel inhibitors of TRIP13. This review provides a comprehensive overview of TRIP13's biological functions, its roles in eighteen different cancers, four small molecule inhibitors, different underlying molecular mechanisms, and its functionality as a potential anticancer drug target.

TRIP13 regulates progression of gastric cancer through stabilising the expression of DDX21

GC (Gastric cancer) is one of the most common malignant tumours, with over 95% of gastric cancer patients being adenocarcinoma and most gastric cancer patients having no apparent symptoms in the early stages. Finding biomarkers for early screening of gastric cancer and exploring new targets for gastric cancer treatment are urgent problems to be solved in the treatment of gastric cancer, with significant clinical outcomes for the survival rate of gastric cancer patients. The AAA+ family ATPase thyroid hormone receptor-interacting protein 13 (TRIP13) has been reported to play an essential role in developing various tumours. However, the biological function and molecular mechanism of TRIP13 in gastric cancer remain unclear. This study confirms that TRIP13 is highly expressed in gastric cancer tissue samples and that TRIP13 participates in the proliferation, migration, invasion in vitro, and tumourigenesis and metastasis in vivo of gastric cancer cells. Mechanistically, this study confirms that TRIP13 directly interacts with DDX21 and stabilises its expression by restraining its ubiquitination degradation, thereby promoting gastric cancer progression. Additionally, histone deacetylase 1 (HDAC1) is an upstream factor of TRIP13, which could target the TRIP13 promoter region to promote the proliferation, migration, and invasion of gastric cancer cells. These results indicate that TRIP13 serve is a promising biomarker for the treating of gastric cancer patients, and the HDAC1-TRIP13/DDX21 axis might provide a solid theoretical basis for clinical treatment of gastric cancer patients.

TRIP13 Plays an Important Role in the Sensitivity of Leukemia Cell Response to Sulforaphane Therapy

Sulforaphane is one of the most characterized isothiocyanate compounds in cruciferous vegetables and shows anticancer effects, especially antileukemia properties. However, the molecular mechanism of the growth inhibition effect of sulforaphane in acute myeloid leukemia (AML) has not been fully explored. In the present study, a proteomic analysis was performed on the AML cell line U937 responding to sulforaphane treatment to identify novel and efficient therapeutic targets of sulforaphane on AML cells. Key driver analysis was run on the leukemia network, and TRIP13 was identified as a key regulatory factor in sulforaphane-induced growth inhibition in U937 cells. Pretreatment with DCZ0415, an inhibitor of TRIP13, could significantly attenuate sulforaphane-induced cell apoptosis and cell cycle arrest in vitro through the PI3K/Akt/mTOR signaling pathway. In addition, the inhibitory effect of sulforaphane on the tumor volume could also be obviously attenuated by the pretreatment of DCZ0415 in vivo. These results indicate that TRIP13 plays an important role in the sensitivity of leukemia cell response to sulforaphane treatment, and these findings expand the understanding of the mechanism of the antileukemic effect of sulforaphane and provide a new target for the treatment of AML.

Targeting of oncogenic AAA-ATPase TRIP13 reduces progression of pancreatic ductal adenocarcinoma

Thyroid hormone receptor-interacting protein 13 (TRIP13) is involved in cancer progression, but its role in pancreatic ductal adenocarcinoma (PDAC) is unknown. Thus, we assessed the expression, functional role, and mechanism of action of TRIP13 in PDAC. We further examined the efficacy of TRIP13 inhibitor, DCZ0415, alone or in combination with gemcitabine on malignant phenotypes, tumor progression, and immune response. We found that TRIP13 was overexpressed in human PDACs relative to corresponding normal pancreatic tissues. TRIP13 knockdown or treatment of PDAC cells with DCZ0415 reduced proliferation and colony formation, and induced G2/M cell cycle arrest and apoptosis. Additionally, TRIP13 knockdown or targeting with DCZ0415 reduced the migration and invasion of PDAC cells by increasing E-cadherin and decreasing N-cadherin and vimentin. Pharmacologic targeting or silencing of TRIP13 also resulted in reduce expression of FGFR4 and STAT3 phosphorylation, and downregulation of the Wnt/β-catenin pathway. In immunocompromised mouse models of PDAC, knockdown of TRIP13 or treatment with DCZ0415 reduced tumor growth and metastasis. In an immunocompetent syngeneic PDAC model, DCZ0415 treatment enhanced the immune response by lowering expression of PD1/PDL1, increasing granzyme B/perforin expression, and facilitating infiltration of CD3/CD4 T-cells. Further, DCZ0415 potentiated the anti-metastatic and anti-tumorigenic activities of gemcitabine by reducing proliferation and angiogenesis and by inducing apoptosis and the immune response. These preclinical findings show that TRIP13 is involved in PDAC progression and targeting of TRIP13 augments the anticancer effect of gemcitabine.

The novel norcantharidin derivative DCZ5417 suppresses multiple myeloma progression by targeting the TRIP13-MAPK-YWHAE signaling pathway

BACKGROUND

Multiple myeloma (MM), an incurable disease owing to drug resistance, requires safe and effective therapies. Norcantharidin (NCTD), an active ingredient in traditional Chinese medicines, possesses activity against different cancers. However, its toxicity and narrow treatment window limit its clinical application. In this study, we synthesized a series of derivatives of NCTD to address this. Among these compounds, DCZ5417 demonstrated the greatest anti-MM effect and fewest side effects. Its anti-myeloma effects and  the mechanism were further tested.

METHODS

Molecular docking, pull-down, surface plasmon resonance-binding, cellular thermal shift, and ATPase assays were used to study the targets of DCZ5417. Bioinformatic, genetic, and pharmacological approaches were used to elucidate the mechanisms associated with DCZ5417 activity.

RESULTS

We confirmed a highly potent interaction between DCZ5417 and TRIP13. DCZ5417 inhibited the ATPase activity of TRIP13, and its anti-MM activity was found to depend on TRIP13. A mechanistic study verified that DCZ5417 suppressed cell proliferation by targeting TRIP13, disturbing the TRIP13/YWHAE complex and inhibiting the ERK/MAPK signaling axis. DCZ5417 also showed a combined lethal effect with traditional anti-MM drugs. Furthermore, the tumor growth-inhibitory effect of DCZ5417 was demonstrated using in vivo tumor xenograft models.

CONCLUSIONS

DCZ5417 suppresses MM progression in vitro, in vivo, and in primary cells from drug-resistant patients, affecting cell proliferation by targeting TRIP13, destroying the TRIP13/YWHAE complex, and inhibiting ERK/MAPK signaling. These results imply a new and effective therapeutic strategy for MM treatment.

Targeting TRIP13 for overcoming anticancer drug resistance (Review)

Cancer is one of the greatest dangers to human wellbeing and survival. A key barrier to effective cancer therapy is development of resistance to anti‑cancer medications. In cancer cells, the AAA+ ATPase family member thyroid hormone receptor interactor 13 (TRIP13) is key in promoting treatment resistance. Nonetheless, knowledge of the molecular processes underlying TRIP13‑based resistance to anticancer therapies is lacking. The present study evaluated the function of TRIP13 expression in anticancer drug resistance and potential methods to overcome this resistance. Additionally, the underlying mechanisms by which TRIP13 promotes resistance to anticancer drugs were explored, including induction of mitotic checkpoint complex surveillance system malfunction, promotion of DNA repair, the enhancement of autophagy and the prevention of immunological clearance. The effects of combination treatment, which include a TRIP13 inhibitor in addition to other inhibitors, were discussed. The present study evaluated the literature on TRIP13 as a possible target and its association with anticancer drug resistance, which may facilitate improvements in current anticancer therapeutic options.

Three E2F target-related genes signature for predicting prognosis, immune features, and drug sensitivity in hepatocellular carcinoma

Background: Hepatocellular carcinoma (HCC) is extremely malignant and difficult to treat. The adenoviral early region 2 binding factors (E2Fs) target pathway is thought to have a major role in tumor growth. This study aimed to identify a predictive E2F target signature and facilitate individualized treatment for HCC patients. Methods: We constructed an E2F target-related gene profile using univariate COX and LASSO regression models and proved its predictive efficacy in external cohorts. Furthermore, we characterized the role of the E2F target pathway in pathway enrichment, immune cell infiltration, and drug sensitivity of HCC. Results: Lasso Cox regression created an E2F target-related gene signature of GHR, TRIP13, and CDCA8. HCC patients with high risk were correlated with shorter survival time, immune evasion, tumor stem cell characteristics and high sensitivity to Tipifarnib and Camptothecin drugs. Conclusion: Hepatocellular carcinoma prognosis was predicted by an E2F target signature. This finding establishes the theoretical usefulness of the E2F target route in customized identification and treatment for future research.

Gastric Cancer Biomarker Candidates Identified by Machine Learning and Integrative Bioinformatics: Toward Personalized Medicine

Gastric cancer (GC) is among the leading causes of cancer-related deaths worldwide. The discovery of robust diagnostic biomarkers for GC remains a challenge. This study sought to identify biomarker candidates for GC by integrating machine learning (ML) and bioinformatics approaches. Transcriptome profiles of patients with GC were analyzed to identify differentially expressed genes between the tumor and adjacent normal tissues. Subsequently, we constructed protein-protein interaction networks so as to find the significant hub genes. Along with the bioinformatics integration of ML methods such as support vector machine, the recursive feature elimination was used to select the most informative genes. The analysis unraveled 160 significant genes, with 88 upregulated and 72 downregulated, 10 hub genes, and 12 features from the variable selection method. The integrated analyses found that EXO1, DTL, KIF14, and TRIP13 genes are significant and poised as potential diagnostic biomarkers in relation to GC. The receiver operating characteristic curve analysis found KIF14 and TRIP13 are strongly associated with diagnosis of GC. We suggest KIF14 and TRIP13 are considered as biomarker candidates that might potentially inform future research on diagnosis, prognosis, or therapeutic targets for GC. These findings collectively offer new future possibilities for precision/personalized medicine research and development for patients with GC.

KIFC3 regulates progression of hepatocellular carcinoma via EMT and the AKT/mTOR pathway

INTRODUCTION

Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related deaths worldwide. Despite an overall downward trend in cancer mortality, HCC-related mortality continues to increase. KIFC3 is involved in cell division and cancers. However, the role of KIFC3 in HCC has yet to be elucidated.

METHODS

A total of 36 cases of HCC tissues, 4 HCC cell lines, and TCGA databases were searched to explore the expression of KIFC3 in HCC. Subsequently, Western blot analysis, immunofluorescence, bioinformatic analysis, molecular docking, and Co-IP were performed to investigate the molecular mechanisms of KIFC3 in HCC.

RESULT

We found that the expression of KIFC3 was upregulated in HCC, and high KIFC3 expression was related to poor overall survival. In addition, the knockdown of KIFC3 inhibited the proliferation, migration, and invasion of HCC cells in vitro, and impeded the growth of HCC in vivo, while overexpression of KIFC3 in HCC cells revealed the opposite effect. Mechanistically, KIFC3 promotes the progression of HCC through the PI3K/AKT/mTOR signalling. And KIFC3 had slight effect on the protein expression of p-PI3K, p-AKT and p-mTOR in TRIP13-ablated or LY294002-treated HCC cells. The KIFC3 knockdown could further enhance the inhibitory effect of LY294002.

CONCLUSION

Our data revealed that KIFC3 is upregulated in HCC and may serve as a novel biomarker for predicting survival in HCC patients. Targeting KIFC3 may serve as a novel therapeutic strategy for HCC patients.

Identification of a Five Immune Term Signature for Prognosis and Therapy Options (Immunotherapy versus Targeted Therapy) for Patients with Hepatocellular Carcinoma

Background

Immune microenvironment implicated in liver cancer development. Nevertheless, previous studies have not fully investigated the immune microenvironment in liver cancer.

Methods

The open-access data used for analysis were obtained from The Cancer Genome Atlas (TCGA-LIHC) and the International Cancer Genome Consortium databases (ICGC-JP and ICGC-FR). R program was employed to analyze all the data statistically.

Results

First, the TCGA-LIHC, ICGC-FR, and ICGC-JP cohorts were selected for our analysis, which were merged into a combined cohort. Then, we quantified 53 immune terms in this combined cohort with large populations using the ssGSEA algorithm. Next, a prognostic approach was established based on five immune principles (CORE.SERUM.RESPONSE.UP, angiogenesis, CD8.T.cells, Th2.cells, and B.cells) was established, which showed great prognostic prediction efficiency. Clinical correlation analysis demonstrated that high-risk patients could reveal higher progressive clinical features. Next, to examine the inherent biological variations in high- and low-risk patients, pathway enrichment tests were conducted. DNA repair, E2F targets, G2M checkpoints, HEDGEHOG signaling, mTORC1 signaling, and MYC target were positively correlated with the risk score. Examination of genomic instability revealed that high-risk patients may exhibit a higher tumor mutation burden score. Meanwhile, the risk score showed a strong positive correlation with the tumor stemness index. In addition, the Tumor Immune Dysfunction and Exclusion outcome indicated that high-risk patients could be higher responsive to immunotherapy, whereas low-risk patients may be higher responsive to Erlotinib. Finally, six characteristic genes DEPDC1, DEPDC1B, NGFR, CALCRL, PRR11, and TRIP13 were identified for risk group prediction.

Conclusions

In summary, our study identified a signature as a useful tool to indicate prognosis and therapy options for liver cancer patients.

The interplay of long noncoding RNAs and hepatitis B virus

Hepatitis B Virus (HBV) infections remain a major global health burden with an estimated 296 million people living with a chronic infection and 884,000 HBV-related deaths annually. Notably, patients with a chronic hepatitis B (CHB) infection are at a 30-fold greater risk of developing hepatocellular carcinoma (HCC), the most common type of primary liver cancer, which is the 3rd deadliest cancer worldwide. Several groups have assessed HBV-related aberrant expression of host-cell long noncoding RNAs (lncRNAs) and how altered expression of specific lncRNAs affects HBV replication and progression to associated disease states. Given the challenges in establishing effective HBV models and analyzing transcriptomic data, this review focuses on lncRNA expression data primarily collected from clinical patient samples and primary human hepatocytes, with the subsequent mechanism of action analysis in cell lines or other model systems. Ultimately, understanding HBV-induced lncRNA-expression dysregulation could lead to new treatments and biomarkers for HBV infection and its associated diseases.

TRIP13/FLNA Complex Promotes Tumor Progression and Is Associated with Unfavorable Outcomes in Melanoma

Cutaneous melanoma is a high-grade malignant tumor originating from skin melanocytes with high risk of recurrence and metastasis. Further study on the mechanism of melanoma development is urgently needed. Here, we performed a bioinformatic analysis to identify critical genes in melanoma using public datasets in the Gene Expression Omnibus database. Among these differentially expressed genes, thyroid hormone receptor interactor 13 (TRIP13) has been reported to exert an important role in the development of various tumors, while its role in melanoma remains unclear. We selected TRIP13 as a candidate gene for further study. TRIP13 expression in clinical specimens was evaluated by immunohistochemistry, and its association with patient prognosis was analyzed by the Kaplan-Meier method and log-rank test. MV3 and A2058 melanoma cells were transfected with lentiviral vector to overexpress or knockdown TRIP13 expression level, and then, its biological function was studied using a series of in vitro and in vivo assays. RNA sequencing, co-immunoprecipitation, and mass spectrometry were used to identify the underlying mechanism of TRIP13. The results of this study exhibited that TRIP13 expression was upregulated in melanoma tissue compared with normal tissues, and high levels of TRIP13 were closely correlated with poor prognoses of melanoma patients. Elevated TRIP13 promoted the invasion and migration of melanoma cells in vitro and enhanced lung metastasis in vivo, without an influence on tumor growth. Importantly, elevated TRIP13 promoted the epithelial-mesenchymal transition (EMT) of melanoma cells, indicating a higher metastatic potential of these cells. Mechanically, TRIP13 physically interacted with filamin A (FLNA) and then activated the PI3K/AKT pathway to transcriptional activation of EMT-related genes. The present study revealed that TRIP13 is a novel prognostic biomarker and potential therapeutic target for melanoma treatment.

Leader gene identification for digestive system cancers based on human subcellular location and cancer-related characteristics in protein-protein interaction networks

Stomach, liver, and colon cancers are the most common digestive system cancers leading to mortality. Cancer leader genes were identified in the current study as the genes that contribute to tumor initiation and could shed light on the molecular mechanisms in tumorigenesis. An integrated procedure was proposed to identify cancer leader genes based on subcellular location information and cancer-related characteristics considering the effects of nodes on their neighbors in human protein-protein interaction networks. A total of 69, 43, and 64 leader genes were identified for stomach, liver, and colon cancers, respectively. Furthermore, literature reviews and experimental data including protein expression levels and independent datasets from other databases all verified their association with corresponding cancer types. These final leader genes were expected to be used as diagnostic biomarkers and targets for new treatment strategies. The procedure for identifying cancer leader genes could be expanded to open up a window into the mechanisms, early diagnosis, and treatment of other cancer types.

LncRNA TP73-AS1 Exacerbates the Non-Small-Cell Lung Cancer (NSCLC) Process via Regulating miR-125a-3p-Mediated ACTN4

Background

LncRNA TP73-AS1 has been revealed to exert a noteworthy impact on the occurrence and advancement of different cancers. In this study, we explored the function of TP73-AS1 in tumor growth, cell progression as well as the relevant molecular mechanism in non-small-cell lung cancer (NSCLC).

Methods

QRT-PCR was employed to assess the expression of TP73-AS1, miR‐125a-3p, and actinin alpha 4 (ACTN4) in NSCLC cells. The biological effect of TP73-AS1 on NSCLC cells was assessed by cell transfection, CCK8, and transwell experiments. We further predicted the interaction among RNAs (TP73-AS1, miR-125a-3p, and ACTN4) through bioinformatics online tools and verified via luciferase reporter, RNA immunoprecipitation, and qRT-PCR assays. Xenograft models of SPC-A1 cells were conducted to test how TP73-AS1 regulates tumorigenesis. Western blot, as well as the immunohistochemistry (IHC) assays, was utilized to measure the expression levels. Functions of TP73-AS1 in NSCLC progression through the miR-125a-3p/ACTN4 axis were investigated by rescue experiments.

Results

Knockdown of TP73-AS1 suppressed the growth and simultaneously attenuated the migration and invasion ability of NSCLC SPC-A1 and A549 cells. Bioinformatics and molecular mechanism assays demonstrated that TP73-AS1 could bind to miR-125a-3p/ACTN4 and regulate their expression. Moreover, the rescued‐function experiment demonstrated that suppressing miR-125a-3p or elevating ACTN4 turned around the suppression effect of sh-TP73-AS1 on NSCLC progression. TP73-AS1 inhibition could also inhibit the NSCLC tumor growth and correspondingly regulated the expression of miR-125a-3p and ACTN4 in the tumor xenograft model.

Conclusion

The present study indicated that TP73-AS1 affects NSCLC progression through a new competitive RNA (ceRNA) regulatory network of miR-125a-3p/ACTN4, providing an underlying target for NSCLC treatment in the future.

Four-gene signature predicting overall survival and immune infiltration in hepatocellular carcinoma by bioinformatics analysis with RT‒qPCR validation

Background

Hepatocellular carcinoma (HCC) is one of the most lethal cancers, with a poor prognosis. Prognostic biomarkers for HCC patients are urgently needed. We aimed to establish a nomogram prediction system that combines a gene signature to predict HCC prognosis.

Methods

Differentially expressed genes (DEGs) were identified from publicly available Gene Expression Omnibus (GEO) datasets. The Cancer Genome Atlas (TCGA) cohort and International Cancer Genomics Consortium (ICGC) cohort were regarded as the training cohort and testing cohort, respectively. First, univariate and multivariate Cox analyses and least absolute shrinkage and selection operator (LASSO) regression Cox analysis were performed to construct a predictive risk score signature. Furthermore, a nomogram system containing a risk score and other prognostic factors was developed. In addition, a correlation analysis of risk group and immune infiltration was performed. Finally, we validated the expression levels using real-time PCR.

Results

Ninety-five overlapping DEGs were identified from four GEO datasets, and we constructed a four-gene-based risk score predictive model (risk score = EZH2 * 0.075 + FLVCR1 * 0.086 + PTTG1 * 0.015 + TRIP13 * 0.020). Moreover, this signature was an independent prognostic factor. Next, the nomogram system containing risk score, sex and TNM stage indicated better predictive performance than independent prognostic factors alone. Moreover, this signature was significantly associated with immune cells, such as regulatory T cells, resting NK cells and M2 macrophages. Finally, RT‒PCR confirmed that the mRNA expressions of four genes were upregulated in most HCC cell lines.

Conclusion

We developed and validated a nomogram system containing the four-gene risk score, sex, and TNM stage to predict prognosis.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09934-1.

MicroRNA-1269 is downregulated in glioblastoma and its maturation is regulated by long non-coding RNA SLC16A1 Antisense RNA 1

MicroRNA-1269 (miR-1296) promotes esophageal cancer. However, its role in other cancers, such as glioblastoma (GBM) is unclear. We predicted that miR-1269 might interact with long non-coding RNA (lncRNA) SLC16A1 Antisense RNA 1 (SLC16A1-AS1), a critical player in GBM. We then studied the interaction between SLC16A1-AS1 and miR-1269 in GBM. In this study, paired GBM and non-tumor tissues were used to analyze the expression of SLC16A1-AS1 and premature and mature miR-1269. The interaction of SLC16A1-AS1 with premature miR-1269 was analyzed with RNA pull-down assay and dual-luciferase reporter assay. Cellular fractionation assay was applied to determine the subcellular location of SLC16A1-AS1. Overexpression assays were applied to determine the role of SLC16A1-AS1 in miR-1269 maturation. BrdU, Transwell and cell apoptosis assays were performed to analyze the role of SLC16A1-AS1 and miR-1269 in GBM cell proliferation, migration, and invasion. Interestingly, we observed the upregulation of premature miR-1269 and downregulation of mature miR-1269 in GBM. SLC16A1-AS1 was also overexpressed in GBM. The direct interaction of SLC16A1-AS1 with premature miR-1269 was observed. SLC16A1-AS1 suppressed miR-1269 maturation and promoted cell proliferation, migration, and invasion, and inhibited cell apoptosis, while miR-1269 displayed the opposite trend. SLC16A1-AS1 partly reversed the effects of miR-1269 on GBM cell proliferation, movement and apoptosis. Moreover, SLC16A1-AS1 overexpression increased the level of ki-67, CDK4 and Bcl-2 in LN-229 and LN-18 cells. However, miR-1269 could partly reverse the effect of SLC16A-AS1 on protein levels. Overall, miR-1269 is downregulated in GBM and its maturation is regulated by SLC16A1-AS1.

Inducing Synergistic DNA Damage by TRIP13 and PARP1 Inhibitors Provides a Potential Treatment for Hepatocellular Carcinoma

Thyroid hormone receptor interactor 13 (TRIP13), an AAA-ATPase, participates in the development of many cancers. This study explores the function of TRIP13 and synergistic effects of TRIP13 and PARP1 inhibitors in hepatocellular carcinoma (HCC). The dose-dependent effects of TRIP13 and PARP1 inhibitors on HCC cells proliferation or migration were investigated by the CCK-8 and Transwell assays. Using siRNA or lentivirus to knock down TRIP13, we tested HCC cell and tumor growth in vitro and in vivo. The DNA damage caused by TRIP13 and PARP1 inhibitors was measured by the phosphorylation of H2AX, one of the DNA damage biomarkers. The phosphorylation of H2AX was increased after treatment with DCZ0415 or TRIP13 knockdown. Combining DCZ0415 with PARP1 inhibitor, Olaparib induced synergistic anti-HCC activity. We also found that the overexpression of TRIP13 is significantly associated with early recurrent HCC and poor survival. Up-regulation of TRIP13 in HCC was regulated by transcription factor SP1. In conclusion, our study demonstrated that DCZ0415 targeting TRIP13 impaired non-homologous end-joining repair to inhibit HCC progression and had a synergistic effect with PARP1 inhibitor Olaparib in HCC, suggesting a potential treatment of HCC.

The DeltaN p63 Promotes EMT and Metastasis in Bladder Cancer by the PTEN/AKT Signalling Pathway

Bladder cancer is a common tumour of the urinary system, and more than 90% is urothelial carcinoma. Therefore, it is important for discovering the key target genes and molecules of bladder tumour cell metastasis and invasion. Our research initially explored the regulation of deltaN p63 on the progression and metastasis of bladder cancer and found that deltaN p63 can influence the occurrence of EMT through PTEN and ultimately regulate the growth and metastasis of bladder cancer. In summary, this study identified a new EMT regulator, deltaN p63, further revealed the mechanism of the invasion and metastasis of bladder cancer cells, and provided a theoretical basis for finding new target molecules and drugs to treat bladder cancer. In conclusion, this study will further reveal the mechanism of tumour cell invasion and metastasis and provide a theoretical basis for cancer treatment to find new target molecules and drugs.

DCZ0415, a small-molecule inhibitor targeting TRIP13, inhibits EMT and metastasis via inactivation of the FGFR4/STAT3 axis and the Wnt/β-catenin pathway in colorectal cancer

Thyroid receptor-interacting protein 13 (TRIP13), a protein of the AAA-ATPase family, is upregulated in various human cancers, including colorectal cancer (CRC). This study focused on the inhibition of TRIP13-induced CRC progression and signalling by DCZ0415, a small molecule targeting TRIP13. It demonstrated potent antitumour activity in TRIP13-deregulated cancer cell lines, regardless of their p53, KRAS, BRAF, epidermal growth factor receptor or microsatellite instability status. The treatment of CRC cells with DCZ0415 resulted in decreased cell proliferation, induced cell cycle arrest in the G2-M phase and increased apoptosis. DCZ0415 diminished xenograft tumour growth and metastasis of CRC in immunocompromised mice. DCZ0415 reduced expression of fibroblast growth factor receptor 4 (FGFR4), signal transducer and activator of transcription 3 (STAT3), and proteins associated with the epithelial-mesenchymal transition and nuclear factor kappa B (NF-κB) pathways in cells and xenografts exhibiting high expression of TRIP13. Additionally, DCZ0415 decreased cyclin D1, β-catenin and T-cell factor 1, leading to the inactivation of the Wnt/β-catenin pathway. In a syngeneic CRC model, DCZ0415 treatment induced an immune response by decreasing PD1 and CTLA4 levels and increasing granzyme B, perforin and interferon gamma. In sum, DCZ04145 inhibits the TRIP13-FGFR4-STAT3 axis, inactivates NF-κB and Wnt/β-catenin signalling, activates antitumour immune response and reduces the progression and metastasis of CRC. This study provides a rationale to evaluate DCZ0415 clinically for the treatment of a subset of CRCs that exhibit dysregulated TRIP13 and FGFR4.

TRIP13 knockdown inhibits the proliferation, migration, invasion, and promotes apoptosis by suppressing PI3K/AKT signaling pathway in U2OS cells

BACKGROUND

Although osteosarcoma (OS) is the most common malignant bone tumor, the biological mechanism underlying its incidence and improvement remains unclear. This study investigated early diagnosis and treatment objectives using bioinformatics strategies and performed experimental verification.

METHODS AND RESULTS

The top 10 OS hub genes-CCNA2, CCNB1, AURKA, TRIP13, RFC4, DLGAP5, NDC80, CDC20, CDK1, and KIF20A-were screened using bioinformatics methods. TRIP13 was chosen for validation after reviewing literature. TRIP13 was shown to be substantially expressed in OS tissues and cells, according to Western blotting (WB) and quantitative real-time polymerase chain reaction data. Subsequently, TRIP13 knockdown enhanced apoptosis and decreased proliferation, migration, and invasion in U2OS cells, as validated by the cell counting kit-8 test, Hoechst 33,258 staining, wound healing assay, and WB. In addition, the levels of p-PI3K/PI3K and p-AKT/AKT in U2OS cells markedly decreased after TRIP13 knockdown. Culturing U2OS cells, in which TRIP13 expression was downregulated, in a medium supplemented with a PI3K/AKT inhibitor further reduced their proliferation, migration, and invasion and increased their apoptosis.

CONCLUSIONS

TRIP13 knockdown reduced U2OS cell proliferation, migration, and invasion via a possible mechanism involving the PI3K/AKT signaling pathway.

Low expression of KIF20A suppresses cell proliferation, promotes chemosensitivity and is associated with better prognosis in HCC

This study analysed the microarray datasets from Gene Expression Omnibus (GEO) database, and aimed to identify novel potential hub genes associated with the progression of HCC via bioinformatics analysis and experimental validation. The common differentially expressed genes (DEGs) from five GEO datasets were screened using GEO2R tool. The expression and survival analysis of hub genes in HCC were performed using Gene Expression Profiling Interactive Analysis, UALCAN and Kaplan-Meier plotter tools. In vitro functional assays were used to determine the caspase-3, -9, cell proliferation and chemo-sensitivity of HCC cells. A total of 177 common DEGs were identified between normal liver and HCC tissues among these datasets. Functional enrichment and PPI network analysis identified 22 hub genes from the common DEGs. The mRNA expression of 22 hub genes was all significantly up-regulated in HCC tissues compared to that in normal liver tissues. Further survival analysis showed that 10 hub genes predicted poor prognosis of patients with HCC. More importantly, the in vitro functional studies demonstrated that KIF20A knockdown suppressed the HCC cell proliferation and promoted the chemosensitivity of HCC cells to cisplatin and sorafenib. In conclusion, the present study identified a total of 177 common DEGs among 5 GEO microarray datasets and found that 10 hub genes could predict the poor prognosis of patients with HCC using the comprehensive bioinformatics analysis. Furthermore, KIF20A silence suppressed cell proliferation and enhanced chemosensitivity in HCC cells. Further studies may be required to determine the mechanistic role of these hub genes in HCC progression.

TRIP13 exerts a cancer-promoting role in cervical cancer by enhancing Wnt/β-catenin signaling via ACTN4

Increasing evidence has indicated that thyroid hormone receptor interacting protein 13 (TRIP13) exerts a cancer-promoting role in a broad spectrum of cancers. However, the detailed relevance and function of TRIP13 in cervical cancer remain undefined. The goal of this work was to evaluate the functional significance and mechanism of TRIP13 in cervical cancer. Our data demonstrated that TRIP13 expression was markedly increased in cervical cancer tissue, and high expression of TRIP13 predicted a low survival rate in cervical cancer patients. Knockdown of TRIP13 caused a significant reduction in the proliferation and invasion of cervical cancer cells. By contrast, over-expression of TRIP13 accelerated the proliferation and invasion of cervical cancer cells. Further data revealed that TRIP13 enhanced the activation of Wnt/β-catenin signaling associated with modulation of α-Actinin-4 (ACTN4). Knockdown of ACTN4 markedly reversed TRIP13-mediated activation of Wnt/β-catenin signaling. In addition, inhibition of Wnt/β-catenin signaling reversed TRIP13-induced cancer-promoting effects in cervical cancer cells. Knockdown of TRIP13 markedly retarded the tumor formation and growth of cervical cells in vivo in nude mice. Taken together, the data of this work indicate that TRIP13 accelerates the proliferation and invasion of cervical cancer by enhancing Wnt/β-catenin signaling via regulation of ACTN4. These findings underscore a relevance of the TRIP13/ACTN4/Wnt/β-catenin signaling axis in the progression of cervical cancer and suggest TRIP13 as a potential target for treatment of cervical cancer.

Prognostic Value of a Novel Signature With Nine Hepatitis C Virus-Induced Genes in Hepatic Cancer by Mining GEO and TCGA Databases

Background

Hepatitis C virus-induced genes (HCVIGs) play a critical role in regulating tumor development in hepatic cancer. The role of HCVIGs in hepatic cancer remains unknown. This study aimed to construct a prognostic signature and assess the value of the risk model for predicting the prognosis of hepatic cancer.

Methods

Differentially expressed HCVIGs were identified in hepatic cancer data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases using the library (“limma”) package of R software. The protein–protein interaction (PPI) network was constructed using the Cytoscape software. Functional enrichment analysis was performed using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Univariate and multivariate Cox proportional hazard regression analyses were applied to screen for prognostic HCVIGs. The signature of HCVIGs was constructed. Gene Set Enrichment Analysis (GSEA) compared the low-risk and high-risk groups. Finally, the International Cancer Genome Consortium (ICGC) database was used to validate this prognostic signature. Polymerase chain reaction (PCR) was performed to validate the expression of nine HCVIGs in the hepatic cancer cell lines.

Results

A total of 143 differentially expressed HCVIGs were identified in TCGA hepatic cancer dataset. Functional enrichment analysis showed that DNA replication was associated with the development of hepatic cancer. The risk score signature was constructed based on the expression of ZIC2, SLC7A11, PSRC1, TMEM106C, TRAIP, DTYMK, FAM72D, TRIP13, and CENPM. In this study, the risk score was an independent prognostic factor in the multivariate Cox regression analysis [hazard ratio (HR) = 1.433, 95% CI = 1.280–1.605, P < 0.001]. The overall survival curve revealed that the high-risk group had a poor prognosis. The Kaplan–Meier Plotter online database showed that the survival time of hepatic cancer patients with overexpression of HCVIGs in this signature was significantly shorter. The prognostic signature-associated GO and KEGG pathways were significantly enriched in the risk group. This prognostic signature was validated using external data from the ICGC databases. The expression of nine prognostic genes was validated in HepG2 and LO-2.

Conclusion

This study evaluates a potential prognostic signature and provides a way to explore the mechanism of HCVIGs in hepatic cancer.

Upregulation of TRIP13 promotes the malignant progression of lung cancer via the EMT pathway

Lung cancer is the most common malignant tumor type and it is associated with poor prognosis. The identification of potential biomarkers is of great significance for the early diagnosis and treatment of lung cancer. Non-small cell lung cancer (NSCLC) is the most common pathological type of lung cancer. The present study aimed to investigate the mechanism via which thyroid hormone receptor-interacting protein 13 (TRIP13) participates in the malignant progression of NSCLC. Immunohistochemistry, reverse transcription-quantitative PCR and western blotting were used to assess the expression level of TRIP13. According to The Cancer Genome Atlas database, TRIP13 was upregulated in NSCLC tissues compared with adjacent normal tissues. Moreover, TRIP13 knockdown increased apoptosis, induced cell cycle arrest in the S phase and inhibited the proliferation, invasion and migration of H1299 cells in vitro. Furthermore, TRIP13 upregulation was closely associated with tumor metastasis via epithelial-mesenchymal transformation. In conclusion, TRIP13 could promote the malignant progression of lung cancer, and TRIP13 may be a potential biomarker for the early diagnosis and treatment of NSCLC.

Epigenetic Regulation of Hepatocellular Carcinoma Progression through the mTOR Signaling Pathway

Hepatocellular carcinoma (HCC), the most common type of primary liver cancer, is an aggressive tumor with a high mortality rate because of the limited systemic and locoregional treatment modalities. The development and progression of HCC depend on epigenetic changes that result in the activation or inhibition of some signaling pathways. The mTOR signaling pathway is essential for many pathophysiological processes and is considered a major regulator of cancer. Increasing evidence has shown that epigenetics plays a key role in HCC biology by regulating the mTOR signaling pathway. Therefore, epigenetic regulation through the mTOR signaling pathway to diagnose and treat HCC will become a very promising strategy.

RAP2A promotes apoptosis resistance of hepatocellular carcinoma cells via the mTOR pathway

Hepatocellular carcinoma (HCC) is the most common digestive system cancer. In the current study, we investigated the biological effects of Ras-related protein Rap-2a (RAP2A), a GTPase protein, in HCC tissues and cells. We found that RAP2A was upregulated in HCC tissues and cells. RAP2A knockdown could effectively inhibit the proliferation of HCC cells and weaken its apoptosis resistance. In terms of its action mechanism, RAP2A may be involved in activating the mTOR signaling pathway. Therefore, we believe that RAP2A is abnormally highly expressed in HCC tissues and promotes tumor cell proliferation and apoptosis resistance by activating the mTOR signaling pathway, and it may serve as a potential target for HCC treatment.

Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision

AIM

Artificial intelligence (AI)-based breast cancer grading may help to overcome perceived limitations of human assessment. Here, the potential value of AI grade was evaluated at the molecular level and in predicting patient outcome.

METHODS AND RESULTS

A supervised convolutional neural network (CNN) model was trained on images of 612 breast cancers from The Cancer Genome Atlas (TCGA). The test set, obtained from the Cooperative Human Tissue Network (CHTN), comprised 1058 cancers with corresponding survival data. Upon reversal, a CNN was trained from images of 1537 CHTN cancers and tested on 397 TCGA cancers. In TCGA, mRNA models were trained using AI grade and Nottingham grade (NG) as labels. Performance of mRNA models in predicting patient outcome was evaluated using data from 1807 cancers from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohort. In selecting images for training, nucleolar prominence determined high- versus low-grade cancer cells. In CHTN, NG corresponded to significant survival stratification in stages 1, 2 and 3 cancers, while AI grade showed significance in stages 1 and 2 and borderline in stage 3 tumours. In METABRIC, the mRNA model trained from AI grade was not significantly different to the NG-based model. The gene which best described AI grade was TRIP13, a gene involved with mitotic spindle assembly.

CONCLUSION

An AI grade trained from the morphologically distinctive feature of nucleolar prominence could transmit significant patient outcome information across three independent patient cohorts. AI grade shows promise in gene discovery and for second opinions.

Integrative analysis identifies key mRNA biomarkers for diagnosis, prognosis, and therapeutic targets of HCV-associated hepatocellular carcinoma

Hepatitis C virus-associated HCC (HCV-HCC) is a prevalent malignancy worldwide and the molecular mechanisms are still elusive. Here, we screened 240 differentially expressed genes (DEGs) of HCV-HCC from Gene expression omnibus (GEO) and the Cancer Genome Atlas (TCGA), followed by weighted gene coexpression network analysis (WGCNA) to identify the most significant module correlated with the overall survival. 10 hub genes (CCNB1, AURKA, TOP2A, NEK2, CENPF, NUF2, CDKN3, PRC1, ASPM, RACGAP1) were identified by four approaches (Protein-protein interaction networks of the DEGs and of the significant module by WGCNA, and diagnostic and prognostic values), and their abnormal expressions, diagnostic values, and prognostic values were successfully verified. A four hub gene-based prognostic signature was built using the least absolute shrinkage and selection operator (LASSO) algorithm and a multivariate Cox regression model with the ICGC-LIRI-JP cohort (N =112). Kaplan-Meier survival plots (P = 0.0003) and Receiver Operating Characteristic curves (ROC = 0.778) demonstrated the excellent predictive potential for the prognosis of HCV-HCC. Additionally, upstream regulators including transcription factors and miRNAs of hub genes were predicted, and candidate drugs or herbs were identified. These findings provide a firm basis for the exploration of the molecular mechanism and further clinical biomarkers development of HCV-HCC.

Radix Actinidiae extract affects proliferation and apoptosis of colorectal cancer cells by regulating miR-192-5p/ARPP19

BACKGROUND

Radix Actinidiae extract (RAE) can inhibit the proliferation of gastric cancer, lung cancer, and other tumor cells, and has appreciated anti-tumor effects, but it is unknown whether it affects the malignant phenotype of colorectal cancer cells. The expression of miR-192-5p is reduced in colorectal cancer tissues, and its low expression is related to clinicopathological characteristics such as tumor size. Thus, it can be used as a potential biomarker for the diagnosis and treatment of colorectal cancer. StarBase bioinformatics software predicts that cAMP-regulated phosphoprotein 19 (ARPP19) may be a target gene of miR-192-5p. This study hypothesized that RAE can affect the proliferation and apoptosis of colorectal cancer cells by regulating the miR-192-5p/ARPP19 axis.

AIM

To investigate the effects and mechanism of RAE on proliferation and apoptosis of colorectal cancer SW480 cells.

METHODS

After SW480 cells were treated with RAE, cell proliferation was detected by MTT assay, apoptosis was detected by flow cytometry, and the protein expression levels of Cyclin D1, cleaved Caspase-3, and ARPP19 were detected by Western blot. The expression of miR-192-5p and ARPP19 mRNA in cells was detected by RT-qPCR. miR-192-5p mimic or ARPP19 small interfering RNA was transfected into SW480 cells, and then the above methods were used to observe the effects of over-expressing miR-192-5p or inhibiting ARPP19 on cell proliferation, apoptosis, and the protein expression of CyclinD1 and cleaved Caspase-3 in SW480 cells. The regulatory relationship between miR-192-5p and ARPP19 was verified by the dual luciferase reporter gene assay.

RESULTS

RAE decreased the survival rate of SW480 cells and the expression of ARPP19 mRNA and protein (P < 0.05), but increased the apoptosis rate of SW480 cells and the expression of cleaved Caspase-3 protein and miR-192-5p (P < 0.05). Over-expressing miR-192-5p or inhibiting ARPP19 expression could decrease the survival rate of SW480 cells and the expression of CyclinD1 protein (P < 0.05), but increase the apoptosis rate of SW480 cells and the expression of cleaved Caspase-3 protein (P < 0.05). miR-192-5p negatively regulated the expression of ARPP19 in SW480 cells. Inhibiting miR-192-5p reversed the effects of RAE on proliferation, apoptosis, and the protein expression of CyclinD1 and cleaved Caspase-3 in SW480 cells. Inhibiting ARPP19 reversed the effects of inhibiting miR-192-5p on proliferation, apoptosis, and the protein expression of CyclinD1 and cleaved Caspase-3 of SW480 cells treated with RAE.

CONCLUSION

RAE inhibits the proliferation of colorectal cancer SW480 cells and promotes apoptosis, and its mechanism of action is related to the regulation of the miR-192-5p/ARPP19 axis.

Genetic analysis of multiple primary melanomas arising within the boundaries of congenital nevi depigmentosa

Here, we present a rare case of a patient who developed multiple primary melanomas within the boundaries of two nevi depigmentosa. The melanomas were excised, and as a preventive measure, the remainder of the nevi depigmentosa were removed. We performed whole-exome sequencing on excised tissue from the nevus depigmentosus, adjacent normal skin, and saliva to explain this intriguing phenomenon. We also performed a GeneTrails Comprehensive Solid Tumor Panel analysis on one of the melanoma tissues. Genetic analysis revealed germline MC1R V92M and TYR R402Q polymorphisms and a MET E168D germline mutation that may have increased the risk of melanoma development. This genetic predisposition, combined with a patient-reported history of substantial sun exposure and sunburns, which were more severe within the boundaries of the nevi depigmentosa due to the lack of photoprotective melanin, produced numerous somatic mutations in the melanocytes of the nevi depigmentosa. Fitting with this paradigm for melanoma development in chronically sun-damaged skin, the patient's melanomas harbored somatic mutations in CDKN2A (splice site), NF1, and ATRX and had a tumor mutation burden in the 90-95th percentile for melanoma.

Exosomal miR-3682-3p Suppresses Angiogenesis by Targeting ANGPT1 via the RAS-MEK1/2-ERK1/2 Pathway in Hepatocellular Carcinoma

Background

Angiogenesis is a crucial process in tumorigenesis and development. The role of exosomes derived from hepatocellular carcinoma (HCC) cells in angiogenesis has not been clearly elucidated.

Methods and Results

Exosomes were isolated from HCC cell lines (HCCLM3, MHCC97L, and PLC/RFP/5) by ultracentrifugation and identified by nano transmission electron microscopy (TEM), NanoSight analysis and western blotting, respectively. In vitro and in vivo analyses showed that exosomes isolated from highly metastatic HCC cells enhanced the migration, invasion and tube formation of human umbilical vein endothelial cells (HUVECs) compared to exosomes derived from poorly metastatic HCC cells. In addition, microarray analysis of HCC-Exos was conducted to identify potential functional molecules, and miR-3682-3p expression was found to be significantly downregulated in exosomes isolated from highly metastatic HCC cells. By in vitro gain-of-function experiments, we found that HCC cells secreted exosomal miR-3682-3p, which negatively regulates angiopoietin-1 (ANGPT1), and this led to inhibition of RAS-MEK1/2-ERK1/2 signaling in endothelial cells and eventually impaired angiogenesis.

Conclusion

Our study elucidates that exosomal miR-3682-3p attenuates angiogenesis by targeting ANGPT1 through RAS-MEK1/2-ERK1/2 signaling and provides novel potential targets for liver cancer therapy.

MicroRNA signature in liver cancer

Liver cancer is the 7^th utmost frequent neoplasm and the 4^th principal source of cancer deaths. This malignancy is linked with several environmental and lifestyle-related factors emphasizing the role of epigenetics in its pathogenesis. MicroRNAs (miRNAs) have been regarded as potent epigenetic mechanisms partaking in the pathogenesis of liver cancer. Dysregulation of miRNAs has been related with poor outcome of patients with liver cancer. In the current manuscript, we provide a concise review of the results of recent studies about the role of miRNAs in the progression of liver cancer and their diagnostic and prognostic utility.

Emerging Role of MiR-192-5p in Human Diseases

MicroRNAs (miRNAs) are a type of small non-coding RNAs that play an essential role in numerous biological processes by regulating the post-transcriptional expression of target genes. Recent studies have demonstrated that miR-192-5p, a member of the miR-192 family, partakes in several human diseases, especially various cancers, including cancers of the lung, liver, and breast. Importantly, the levels of miR-192-5p are abundant in biofluids, including the serum and urine, and the exosomal levels of miR-192-5p in circulation can aid in the diagnosis and prognosis of various diseases, such as chronic hepatitis B (CHB) infection disease. Notably, recent studies suggest that miR-192-5p is regulated by long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs). However, there are no comprehensive overviews on the role of miR-192-5p in human diseases. This review discusses the significant studies on the role of miR-192-5p in various human diseases, with special emphasis on the diseases of the respiratory and digestive systems.

α-Actinin-4 Promotes the Progression of Prostate Cancer Through the Akt/GSK-3β/β-Catenin Signaling Pathway

The first-line treatment for prostate cancer (PCa) is androgen ablation therapy. However, prostate tumors generally recur and progress to androgen-independent PCa (AIPC) within 2–3 years. α-Actinin-4 (ACTN4) is an actin-binding protein that belongs to the spectrin gene superfamily and acts as an oncogene in various cancer types. Although ACTN4 is involved in tumorigenesis and the epithelial–mesenchymal transition of cervical cancer, the role of ACTN4 in PCa remains unknown. We found that the ACTN4 expression level increased during the transition from androgen-dependent PCa to AIPC. ACTN4 overexpression resulted in enhanced proliferation and motility of PCa cells. Increased β-catenin due to ACTN4 promoted the transcription of genes involved in proliferation and metastasis such as CCND1 and ZEB1. ACTN4-overexpressing androgen-sensitive PCa cells were able to grow in charcoal-stripped media. In contrast, ACTN4 knockdown using si-ACTN4 and ACTN4 nanobody suppressed the proliferation, migration, and invasion of AIPC cells. Results of the xenograft experiment revealed that the mice injected with LNCaP^ACTN4 cells exhibited an increase in tumor mass compared with those injected with LNCaP^Mock cells. These results indicate that ACTN4 is involved in AIPC transition and promotes the progression of PCa.

Targeting Akt-associated microRNAs for cancer therapeutics

The uncontrolled growth and spread of abnormal cells because of activating protooncogenes and/or inactivating tumor suppressor genes are the hallmarks of cancer. The PI3K/Akt signaling is one of the most frequently activated pathways in cancer cells responsible for the regulation of cell survival and proliferation in stress and hypoxic conditions during oncogenesis. Non-coding RNAs are a large family of RNAs that are not involved in protein-coding, and microRNAs (miRNAs) are a sub-set of non-coding RNAs with a single strand of 18-25 nucleotides. miRNAs are extensively involved in the post-transcriptional regulation of gene expression and play an extensive role in the regulatory mechanisms including cell differentiation, proliferation, apoptosis, and tumorigenesis. The impact of cancer on mRNA stability and translation efficiency is extensive and therefore, cancerous tissues exhibit drastic alterations in the expression of miRNAs. miRNAs can be modulated by utilizing techniques such as miRNA mimics, miRNA antagonists, or CRISPR/Cas9. In addition to their capacity as potential targets in cancer therapy, they can be used as reliable biomarkers to diagnose the disease at the earliest stage. Recent evidence indicates that microRNA-mediated gene regulation intersects with the Akt pathway, forming an Akt-microRNA regulatory network. miRNAs and Akt in this network operate together to exert their cellular tasks. In the current review, we discuss the Akt-associated miRNAs in several cancers, their molecular regulation, and how this newly emerging knowledge may contribute greatly to revolutionize cancer therapy.

TRIP13 promotes metastasis of colorectal cancer regardless of p53 and microsatellite instability status

Overexpression of TRIP13, a member of the AAA-ATPase family, is linked with various cancers, but its role in metastasis is unknown in colorectal cancer (CRC). In the current study, we investigated the role TRIP13 in experimental metastasis and its involvement in regulation of WNT/β-catenin and EGFR signaling pathways. Evaluation of formalin-fixed paraffin-embedded (FFPE) and frozen tissues of adenomas and CRCs, along with their corresponding normal samples, showed that TRIP13 was gradually increased in its phenotypic expression from adenoma to carcinoma and that its overexpression in CRCs was independent of patient's gender, age, race/ethnicity, pathologic stage, and p53 and microsatellite instability (MSI) status. Moreover, liver metastases of CRCs showed TRIP13 overexpression as compared to matched adjacent liver tissues, indicating the biological relevance of TRIP13 in CRC progression and metastasis. TRIP13 knockdown impeded colony formation, invasion, motility, and spheroid-forming capacity of CRC cells irrespective of their p53 and MSI status. Furthermore, xenograft studies demonstrated high expression of TRIP13 contributed to tumor growth and metastasis. Depletion of TRIP13 in CRC cells decreased metastasis and it was independent of the p53 and MSI status. Furthermore, TRIP13 interacted with a tyrosine kinase, FGFR4; this interaction could be essential for activation of the EGFR-AKT pathway. In addition, we demonstrated the involvement of TRIP13 in the Wnt signaling pathway and in the epithelial-mesenchymal transition. Cell-based assays revealed that miR-192 and PNPT1 regulate TRIP13 expression in CRC. Additionally, RNA sequencing of CRC cells with TRIP13 knockdown identified COL6A3, TREM2, SHC3, and KLK7 as downstream targets that may have functional relevance in TRIP13-mediated tumor growth and metastasis. In summary, our results demonstrated that TRIP13 promotes tumor growth and metastasis regardless of p53 and MSI status, and indicated that it is a target for therapy of CRC.

Down-Regulation of C3aR/C5aR Inhibits Cell Proliferation and EMT in Hepatocellular Carcinoma

Complement 3a (C3a) and complement 5a (C5a), small cleavage fragments generated by complement activation, has been previously shown to be obviously up-regulated in highly metastatic hepatocellular carcinoma (HCC) cells. However, their functional roles in HCC cells remains unclear. Here, we investigated the biological function of G protein-coupled receptor C3aR/C5aR using small interference RNA in HCC cells. Our data showed that C3aR and C5aR knockdown significantly inhibited the proliferation, migration and invasion of HCC cells using CCK-8, colony formation and transwell assays. Flow cytometry assay showed C3aR and C5aR knockdown induced cell cycle G0/G1 phase arrest and apoptosis in HCC cells. Moreover, we found down-regulation of C3aR/C5aR obviously down-regulated the expression of PCNA, Ki-67 and suppressed the epithelial-mesenchymal transition (EMT) markers (E-cadherin, N-cadherin and vimentin) in HCC cells. Collectively, our data demonstrated that targeting C3aR/C5aR may hold promise for the treatment of HCC.

Molecular characteristics associated with ferroptosis in hepatocellular carcinoma progression

The aim of this study was to investigate the genes associated with ferroptosis and the progression of hepatocellular carcinoma (HCC). The RNA sequencing data of erastin-induced ferroptosis in HCC cells were downloaded from the Sequence Read Archive database with accession number SRP119173. The microarray dataset GSE89377 of HCC progression was downloaded from the Gene Expression Omnibus database. The ferroptosis-related genes were screened by differential analysis and HCC progression-related genes were screened by cluster analysis using Mfuzz. Then, the genes associated with ferroptosis and HCC progression were screened by Venn analysis, followed by functional enrichment, protein-protein interaction (PPI) analysis, and transcription factor (TF) prediction. Finally, survival analysis was performed using data from the Cancer Genome Atlas database. A total of 33 upregulated and 52 downregulated genes associated with HCC progression and ferroptosis were obtained, and these genes were significantly involved in the negative regulation of ERK1 and ERK2 cascades; the NAD biosynthetic process; alanine, aspartate, and glutamate metabolism; and other pathways. The PPI network contained 52 genes and 78 interactions, of which, cell division cycle 20 (CDC20) and heat shock protein family B (small) member 1 (HSPB1) were hub genes found in higher degrees. Among the 85 genes associated with HCC progression and ferroptosis, two TFs (activating TF 3 (ATF3) and HLF) were predicted, with HSPB1 targeted by ATF3. In addition, 26 genes that were found to be significantly correlated with the overall survival of HCC patients were screened, including CDC20 and thyroid hormone receptor interactor 13. Several genes associated with HCC progression and ferroptosis were screened based on a comprehensive bioinformatics analysis. These genes played roles in HCC progression and ferroptosis via the negative regulation of the ERK1 and ERK2 cascades; the NAD biosynthetic process; and alanine, aspartate, and glutamate metabolism. ATF3 and HSPB1 played important roles in HCC progression and ferroptosis, with HSPB1 possibly regulated by ATF3.

Identification of Crucial Genes Associated With Immune Cell Infiltration in Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis

The dreadful prognosis of hepatocellular carcinoma (HCC) is primarily due to the low early diagnosis rate, rapid progression, and high recurrence rate. Valuable prognostic biomarkers are urgently needed for HCC. In this study, microarray data were downloaded from GSE14520, GSE22058, International Cancer Genome Consortium (ICGC), and The Cancer Genome Atlas (TCGA). Differentially expressed genes (DEGs) were identified among GSE14520, GSE22058, and ICGC databases. Weighted gene co-expression network analysis (WGCNA) was used to establish gene co-expression modules of DEGs, and genes of key modules were examined to identify hub genes using univariate Cox regression in the ICGC cohort. Expression levels and time-dependent receiver operating characteristic (ROC) and area under the curve (AUC) were determined to estimate the prognostic competence of the hub genes. These hub genes were also validated in the Gene Expression Profiling Interactive Analysis (GEPIA) and TCGA databases. TIMER algorithm and GSCALite database were applied to analyze the association of the hub genes with immunocytotic infiltration and their pathway enrichment. Altogether, 276 DEGs were identified and WGCNA described a unique and significantly DEGs-associated co-expression module containing 148 genes, with 10 hub genes selected by univariate Cox regression in the ICGC cohort (BIRC5, FOXM1, CENPA, KIF4A, DTYMK, PRC1, IGF2BP3, KIF2C, TRIP13, and TPX2). Most of the genes were validated in the GEPIA databases, except IGF2BP3. The results of multivariate Cox regression analysis indicated that the abovementioned hub genes are all independent predictors of HCC. The 10 genes were also confirmed to be associated with immune cell infiltration using the TIMER algorithm. Moreover, four-gene signature was developed, including BIRC5, CENPA, FOXM1, DTYMK. These hub genes and the model demonstrated a strong prognostic capability and are likely to be a therapeutic target for HCC. Moreover, the association of these genes with immune cell infiltration improves our understanding of the occurrence and development of HCC.