Translational Oncology最新文献

Cholangiocarcinoma remains a challenging primary hepatobiliary malignancy with dismal prognosis. Photodynamic therapy (PDT),a less invasive treatment, has been found to inhibit the proliferation and induce ferroptosis, apoptosis and necrosis in other tumor cells in recent years. Regrettably, the role and exact molecule mechanism of PDT is still incompletely clear in cholangiocarcinoma cells. Ferroptosis is a novel regulated cell death(RCD), which is controlled by glutathione peroxidase4(GPX4) with the characteristics of iron dependent and excessive intracellular accumulation of lipid peroxides. This novel form of RCD has attracted great attention as a potential new target in clinical oncology during recent years. In this study, we observed that hypericin mediated PDT(HY-PDT) could significantly inhibit the proliferation of the cholangiocarcinoma cells and suppress migration and the epithelial mesenchymal transition (EMT) as well. Then, we conducted transcriptome sequencing and bioinformatics analysis and observed that HY-PDT was most likely involved in ferroptosis, apoptosis, the EMT process and AKT/mTORC1 signaling pathways in cholangiocarcinoma cells. Next, a series of in vitro and in vivo experiments were performed to confirm that HY-PDT could trigger cholangiocarcinoma cells ferroptosis through inhibiting the expression of GPX4 protein. In terms of molecular mechanism, we found that HY-PDT induced ferroptosis by decreasing GPX4 expression via suppression of the AKT/mTORC1 signaling pathway. In addition, we also found that HY-PDT inhibit cholangiocarcinoma cells migration and the EMT process by inhibiting the AKT/mTORC1 pathway. Our study illustrated a new mechanism of action for HY-PDT and might throw light on the individualized precision therapy for cholangiocarcinoma patients.

Wilms tumor 1 (WT1) is a multifaceted protein with dual functions, acting both as a tumor suppressor and as a transcriptional activator of oncogenes. WT1 is highly expressed in various types of solid tumors and leukemia, and its elevated expression is associated with a poor prognosis for patients. High WT1 expression also indicates a greater risk of refractory disease or relapse. Consequently, targeting WT1 is an effective strategy for disease prevention and relapse mitigation. Substantial information is available on the pathogenesis of WT1 in various diseases, and several WT1-targeted therapies, including chemical drugs, natural products, and targeted vaccines, are available. We provide a comprehensive review of the mechanisms by which WT1 influences malignancies and summarize the resulting therapeutic approaches thoroughly. This article provides information on the roles of WT1 in the pathogenesis of different cancers and provides insights into drugs and immunotherapies targeting WT1. The goal of this work is to provide a systematic understanding of the current research landscape and of future directions for WT1-related studies.

Early-onset pancreatic cancer (EOPC) is usually defined as patients with pancreatic cancer before the age of 50 years, which is relatively rare. However, the research on EOPC is somewhat obscure, and the specific clinical and molecular characteristics of this condition are debated. In this review, we discussed the differences between EOPC and late-onset pancreatic cancer (LOPC) or average-onset pancreatic cancer (AOPC) with a focus on clinical and molecular characteristics, survival outcomes and treatment to promote the diagnosis and treatment of EOPC.

Objectives: Alpha fetoprotein(AFP) overexpression connecting with macrophage dysfunction remain poorly defined. In this study, explore AFP regulates macrophage immunomodulation in hepatocellular carcinoma(HCC) through comprehensive in vitro and in vivo studies.

Methods: Immunohistochemical and immunofluorescence staining was used to analyze the relativity of AFP and cellular membrane CD47 expression in clinical 30 HCC tissues, and the expression of AFP and CD47 in HCC cells. The intelligent living-cell high-throughput imaging analyzer was applied to dynamically track and image of macrophages to phagocytize HCC cells. The effect of AFP on regulating the level of CD47 in cellular membrane and growth of tumor in vivo was performed by animal experiment. The association of AFP and CD47 in HCC cells was detected by single cell analysis.

Results: The present results indicated that AFP upregulated the localization of CD47 on the HCC cell surface. CD47 overexpression stimulates HCC to escape immune surveillance by transmitting "don't eat me" signals to macrophages, lead to inhibit macrophage to phagocytize HCC cells. Mechanistically, the results demonstrated that AFP enhanced CD47 membrane translocation by interacting with Hu-Antigen R(HuR), an RNA-binding protein that regulates mRNA stability and translation. AFP alters the subcellular distribution of HuR, increasing its cytoplasmic accumulation and binding to CD47 transcript.

Conclusions: AFP enhanced CD47 membrane translocation by interacting with HuR. These findings proved that AFP could inhibit macrophage to phagocytize HCC cells by upregulating the localization of CD47 on the HCC cell surface. Combination of AFP with CD47 blockade may be a potential therapeutic strategy for HCC treatment.

Objective: Cisplatin is the main chemotherapy drug for advanced ovarian cancer, but drug resistance often occurs. The aim of this study is to explore the molecular mechanism by which Guizhi Fuling capsule inhibits cisplatin resistance in ovarian cancer.

Methods: First, differences in cisplatin resistance, PA2G4 gene expression, migration, and invasion in A2780 cells and A2780/DDP cells were analyzed by qRT-PCR, scratch assay, transwell, immunofluorescence, and western blotting. Then, LC-MS/MS analysis of GFC chemical composition. qRT-PCR, scratch tests, transwell, pseudopodium formation, immunofluorescence, and western blotting were used to explore the mechanism by which GFC inhibited A2780/DDP cell migration and invasion. Finally, the anti-tumor efficacy of GFC was verified by in vivo experiments.

Results: A2780/DDP cells had a greater ability to migrate and invade compared to their parents. Cell viability experiments showed that the migration and invasion ability of A278/DDP cells were significantly inhibited with the increase of GFC concentration. qRT-PCR results showed that compared with the blank control group, cisplatin group and GFC group, the transcription level of PA2G4 gene in the combination treatment group was significantly reduced. We also found that GFC combined with cisplatin inhibited the PI3K/AKT/GSK-3β signaling pathway by targeting PA2G4 gene expression, inhibited the epithelial-mesenchymal transition signaling pathway, decreased cell adhesion and inhibited the formation of cell pseudopodias.

Conclusion: GFC combined with cisplatin can target PA2G4 gene to regulate PI3K/AKT/GSK-3β Signaling pathway, inhibiting the invasion and migration of cisplatin resistant A2780/DDP cells in ovarian cancer.

Despite widespread deregulation of CDK4/6 activity in non-small cell lung cancer (NSCLC), clinical trials with CDK4/6 inhibitor (CDK4/6i) as a monotherapy have shown poor antitumor activity. Preclinical studies indicate that CDK4/6i may collaborate by influencing DNA damage repair pathways during radiotherapy. Since PARP1 expression was also significantly upregulated in NSCLC, we analyzed the efficacy of combining PARP1 and CDK4/6 inhibition in NSCLC models. We found that CDK4/6is synergize with PARP1 inhibitors (PARPis) to inhibit the clonogenic growth of RB-proficient NSCLC models. This synergy correlates with increased accumulation of DNA damage, interrupted cell-cycle checkpoints, and enhanced apoptotic cell death. Mechanistically, we showed that CDK4/6is promote PARP1 protein degradation, which lead to decreased availability of DNA repair factors involved in homologous recombination and suppression of DNA repair competency. Furthermore, we showed that PARP trapping is engaged in this synergy. We then confirmed that combining PARPi and CDK4/6i blocked the growth of NSCLC xenografts in vivo and patient-derived explant models ex vivo. Our data reveal a previously uncharacterized impact of CDK4/6i on PARP1 levels in RB-proficient NSCLC models and the engagement of PARP trapping in the synergy between CDK4/6i and PARPi. Our findings suggest combining CDK4/6i with PARPi could be a viable therapeutic strategy for patients with RB-proficient NSCLC.

Background: An increasing number of nasopharyngeal carcinoma (NPC) patients benefit from immunotherapy with chemotherapy as an induction treatment. Currently, there isn't a reliable method to assess the efficacy of this regimen, which hinders informed decision-making for follow-up care.

Aim: To establish and evaluate a model for predicting the efficacy of programmed death-1 (PD-1) inhibitor combined with GP (gemcitabine and cisplatin) induction chemotherapy based on deep learning features (DLFs) and radiomic features.

Methods: Ninety-nine patients diagnosed with advanced NPC were enrolled and randomly divided into training set and test set in a 7:3 ratio. From MRI scans, DLFs and conventional radiomic characteristics were recovered. The random forest algorithm was employed to identify the most valuable features. A prediction model was then created using these radiomic characteristics and DLFs to determine the effectiveness of PD-1 inhibitor combined with GP chemotherapy. The model's performance was assessed using Receiver Operating Characteristic (ROC) curve analysis, area under the curve (AUC), accuracy (ACC), and negative predictive value (NPV).

Results: Twenty-one prediction models were constructed. The Tf_Radiomics+Resnet101 model, which combines radiomic features and DLFs, demonstrated the best performance. The model's AUC, ACC, and NPV values in the training and test sets were 0.936 (95%CI: 0.827-1.0), 0.9, and 0.923, respectively.

Conclusion: The Tf_Radiomics+Resnet101 model, based on MRI and Resnet101 deep learning, shows a high ability to predict the clinically complete response (cCR) efficacy of PD-1 inhibitor combined with GP in advanced NPC. This model can significantly enhance the treatment management of patients with advanced NPC.

Colorectal cancer (CRC) ranks as the third most commonly diagnosed cancer and the second leading cause of cancer-related deaths worldwide. Studies have shown that CRC patients with KRAS mutations, especially KRAS^G12D, have an increased risk of metastasis. Emerging evidence indicates that long non-coding RNAs (lncRNAs) are crucial in the carcinogenesis and progression of various cancers, regulating multiple biological processes but the link between KRAS^G12D mutations and lncRNAs in CRC remains unclear. Therefore, this study was designed to identify a novel lncRNA involved in KRAS^G12D-mutated CRC and to elucidate its molecular mechanisms. The analysis of differentially expressed lncRNAs in the GSE201412 dataset revealed that LINC02159 was significantly upregulated following treatment with the KRAS^G12D inhibitor MTRX1133 Data from the GTEx database indicated that LINC02159 is highly expressed in CRC tumour tissues and is associated with better patient outcomes. In vitro and in vivo experiments suggest that LINC02159 acts as a tumour suppressor in CRC progression. Specifically, LINC02159 knockdown negated the inhibitory effects of MRTX1133 on tumourigenesis and its promotive effect on ferroptosis in KRAS^G12D-mutated CRC cells. LINC02159 expression is regulated by METTL14, with METTL14 knockdown decreasing m6A methylation of LINC02159, leading to its increased expression in CRC cells. Additionally, LINC02159 stabilised FOXC2 expression through de-ubiquitination. Rescue experiments further clarified that the METTL14/LINC02159/FOXC2 signalling axis is crucial for the inhibitory effects of MRTX1133 in KRAS^G12D-mutated CRC. Our study provides novel insights into the therapeutic potential of MRTX1133 in treating KRAS^G12D-mutated CRC by identifying a METTL14/LINC02159/FOXC2 signalling axis that mediates drug response. Our findings highlight the importance of understanding the molecular mechanisms of lncRNAs in cancer to develop effective targeted therapies.

Introduction: Natural killer (NK) cell activity (NKA) is downregulated in patients with colorectal cancer (CRC), and its dysfunction is possibly associated with increased risk of recurrence. However, its role in prognosis of CRC remains unclear. Prior research has shown that surgical stress can suppress NKA. This study explores the relationship between NK cell/NKA and clinicopathological factors during the perioperative period in patients with CRC.

Methods: We prospectively enrolled 45 patients with CRC. Venous blood samples were collected preoperatively and on postoperative day 3 (POD3) and 30 (POD30). NKA was assessed by measuring the plasma levels of NK cell-secreted IFN-γ.

Results: NKA was significantly reduced on POD3 compared with baseline levels before surgery but showed significant recovery by POD30. NKA on POD30 was considerably higher in patients with advanced disease stages or one or more high-risk preoperative factors. Additionally, a higher NKA recovery in patients with advanced stage exhibited improved recurrence-free survival (RFS) and progression-free survival (PFS) (hazards ratio (HR): 0.2442). Furthermore, an increased percentage of CD56^bright NK cells and a higher CD56^bright/CD56^dim NK cell ratio postoperatively on POD30 were associated with better RFS/PFS (HR: 0.2732, P = 0.0433 and HR: 0.2193, P = 0.024, respectively).

Conclusions: Our findings indicate that a notable postoperative increase in CD56^bright NK cells on POD30, both in percentage and ratio, correlates with a more favorable prognosis in CRC patients. Additionally, higher recovery rates of NKA in patients with advanced stages may offer potential applications in risk stratification and the development of treatment strategies for CRC.

Background: Gastric cancer (GC) poses a major global health challenge because of its unfavorable prognosis. Elevated telomerase activity has been linked to the rapid growth and invasiveness of GC tumors. Investigating the expression profiles of telomerase could improve our understanding of the mechanisms underlying telomere-related GC advancement and its applicability as potential targets for diverse therapeutic strategies for GC.

Methods: The TCGA and GEO databases were utilized to access transcriptome and clinical data related to GC. After assessing differentially expressed genes (DEGs), a prognostic risk model was developed through Cox univariate regression, LASSO-Cox regression. The prognostic risk model was validated using data from the GSE62254 cohort. The significant influence of the risk model on the tumor immune microenvironment (TIME) and its sensitivity to various drugs was assessed.

Results: Differential expression analysis identified 328 significantly telomere-related DEGs in GC, with 35 of them showing a significant association with GC prognosis. A predictive risk model composed of four telomere-related genes (TRGs) was established, enabling the accurate stratification of GC patients into two distinct prognostic groups. The LASSO risk model demonstrated notable variations in immune-cell infiltration and drug sensitivity patterns between high- and low-risk groups.

Conclusions: The study establishes suggestive relationships between four TRGs (LRRN1, SNCG, GAMT, and PDE1B) and the prognosis of GC. The comprehensive characterization of the TRG model reveals their possible roles in the prognosis, TIME, and drug sensitivity in GC.