CT and MRI Findings of Renal Angiomyolipoma With Lung Metastasis: A Case Report and Literature Review.

Renal angiomyolipoma has two histological variants: classical and epithelioid. Epithelioid angiomyolipoma is considered as a potential malignant tumor, often leading to recurrence and metastasis, with rapid progression in most of the cases. The lung is one of the most commonly reported sites of metastasis, and pulmonary metastasis of renal angiomyolipoma is usually diagnostic by computed tomography (CT) scans. Here, we report for the first time renal angiomyolipoma with lung metastasis by combining CT and magnetic resonance imaging (MRI).

Integrative analyses of bulk and single-cell transcriptomics reveals the infiltration and crosstalk of cancer-associated fibroblasts as a novel predictor for prognosis and microenvironment remodeling in intrahepatic cholangiocarcinoma.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) is a highly malignant neoplasm and characterized by desmoplastic matrix. The heterogeneity and crosstalk of tumor microenvironment remain incompletely understood. METHODS: To address this gap, we performed Weighted Gene Co-expression Network Analysis (WGCNA) to identify and construct a cancer associated fibroblasts (CAFs) infiltration biomarker. We also depicted the intercellular communication network and important receptor-ligand complexes using the single-cell transcriptomics analysis of tumor and Adjacent normal tissue. RESULTS: Through the intersection of TCGA DEGs and WGCNA module genes, 784 differential genes related to CAFs infiltration were obtained. After a series of regression analyses, the CAFs score was generated by integrating the expressions of EVA1A, APBA2, LRRTM4, GOLGA8M, BPIFB2, and their corresponding coefficients. In the TCGA-CHOL, GSE89748, and 107,943 cohorts, the high CAFs score group showed unfavorable survival prognosis (p < 0.001, p = 0.0074, p = 0.028, respectively). Additionally, a series of drugs have been predicted to be more sensitive to the high-risk group (p < 0.05). Subsequent to dimension reduction and clustering, thirteen clusters were identified to construct the single-cell atlas. Cell-cell interaction analysis unveiled significant enhancement of signal transduction in tumor tissues, particularly from fibroblasts to malignant cells via diverse pathways. Moreover, SCENIC analysis indicated that HOXA5, WT1, and LHX2 are fibroblast specific motifs. CONCLUSIONS: This study reveals the key role of fibroblasts - oncocytes interaction in the remodeling of the immunosuppressive microenvironment in intrahepatic cholangiocarcinoma. Subsequently, it may trigger cascade activation of downstream signaling pathways such as PI3K-AKT and Notch in tumor, thus initiating tumorigenesis. Targeted drugs aimed at disrupting fibroblasts-tumor cell interaction, along with associated enrichment pathways, show potential in mitigating the immunosuppressive microenvironment that facilitates tumor progression.

A meta-analysis between robotic hepatectomy and conventional open hepatectomy.

Current meta-analysis was performed to compare robotic hepatectomy (RH) with conventional open hepatectomy (OH) in terms of peri-operative and postoperative outcomes. PubMed, EMBASE, and the Cochrane Library were all searched up for comparative studies between RH and OH. RevMan5.3 software and Stata 13.0 software were used for statistical analysis. Nineteen studies with 1747 patients who received RH and 23,633 patients who received OH were included. Pooled results indicated that patients who received RH were generally younger than those received OH (P < 0.00001). Moreover, RH was associated with longer operative time (P = 0.0002), less intraoperative hemorrhage (P < 0.0001), lower incidence of intraoperative transfusion (P = 0.003), lower incidence of postoperative any morbidity (P < 0.00001), postoperative major morbidity (P = 0.0001), mortalities with 90 days after surgery (P < 0.0001), and shorter length of postoperative hospital stay (P < 0.00001). Comparable total hospital costs were acquired between RH and OH groups (P = 0.46). However, even at the premise of comparable R0 rate (P = 0.86), RH was associated with smaller resected tumor size (P < 0.00001). Major hepatectomy (P = 0.02) and right posterior hepatectomy (P = 0.0003) were less frequently performed in RH group. Finally, we concluded that RH was superior to OH in terms of peri-operative and postoperative outcomes. RH could lead to less intraoperative hemorrhage, less postoperative complications and an enhanced postoperative recovery. However, major hepatectomy and right posterior hepatectomy were still less frequently performed via robotic approach. Future more powerful well-designed studies are required for further exploration.

Multi-omics data-based analysis characterizes molecular alterations of the vesicle genes in human colorectal cancer.

The role of vesicular genes in the development of colorectal cancer (CRC) is crucial. Analyzing alterations in these genes at multi-omics can aid in understanding the molecular pathways behind colorectal carcinogenesis and identifying potential treatment targets. However, studies on the overall alteration of vesicular genes in CRC are still lacking. In this study, we aimed to investigate the relationship between vesicle genetic alterations and CRC progression. To achieve this, we analyzed molecular alterations in CRC vesicle genes at eight levels, including mRNA, protein, and epigenetic levels. Additionally, we examined CRC overall survival-related genes that were obtained from a public database. Our analysis of chromatin structural variants, DNA methylation, chromatin accessibility, and proteins (including phosphorylation, ubiquitination, and malonylation), along with RNA-seq data from the TCGA database, revealed multiple levels of alterations in CRC vesicle genes in the collected tissue samples. We progressively examined the alterations of vesicle genes in mRNA and protein levels in CRC and discovered the hub genes. Further investigation identified the probable essential transcription factors. This study contributes to a thorough knowledge of the connection between vesicle gene alterations at multiple levels and the development of CRC and offers a theoretical framework for the identification of novel treatment targets.

Exosomal long non-coding RNA TRPM2-AS promotes angiogenesis in gallbladder cancer through interacting with PABPC1 to activate NOTCH1 signaling pathway.

BACKGROUND: Abnormal angiogenesis is crucial for gallbladder cancer (GBC) tumor growth and invasion, highlighting the importance of elucidating the mechanisms underlying this process. LncRNA (long non-coding RNA) is widely involved in the malignancy of GBC. However, conclusive evidence confirming the correlation between lncRNAs and angiogenesis in GBC is lacking. METHODS: LncRNA sequencing was performed to identify the differentially expressed lncRNAs. RT-qPCR, western blot, FISH, and immunofluorescence were used to measure TRPM2-AS and NOTCH1 signaling pathway expression in vitro. Mouse xenograft and lung metastasis models were used to evaluate the biological function of TRPM2-AS during angiogenesis in vivo. EDU, transwell, and tube formation assays were used to detect the angiogenic ability of HUVECs. RIP, RAP, RNA pull-down, dual-luciferase reporter system, and mass spectrometry were used to confirm the interaction between TRPM2-AS, IGF2BP2, NUMB, and PABPC1. RESULTS: TRPM2-AS was upregulated in GBC tissues and was closely related to angiogenesis and poor prognosis in patients with GBC. The high expression level and stability of TRPM2-AS benefited from m6A modification, which is recognized by IGF2BP2. In terms of exerting pro-angiogenic effects, TRPM2-AS loaded with exosomes transported from GBC cells to HUVECs enhanced PABPC1-mediated NUMB expression inhibition, ultimately promoting the activation of the NOTCH1 signaling pathway. PABPC1 inhibited NUMB mRNA expression through interacting with AGO2 and promoted miR-31-5p and miR-146a-5p-mediated the degradation of NUMB mRNA. The NOTCH signaling pathway inhibitor DAPT inhibited GBC tumor angiogenesis, and TRPM2-AS knockdown enhanced this effect. CONCLUSIONS: TRPM2-AS is a novel and promising biomarker for GBC angiogenesis that promotes angiogenesis by facilitating the activation of the NOTCH1 signaling pathway. Targeting TRPM2-AS opens further opportunities for future GBC treatments.

PP4R1 promotes glycolysis and gallbladder cancer progression through facilitating ERK1/2 mediated PKM2 nuclear translocation.

Gallbladder cancer (GBC) is a common solid tumor of the biliary tract with a high mortality rate and limited curative benefits from surgical resection. Here, we aimed to elucidate the pathogenesis of GBC from the perspective of molecular mechanisms and determined that protein phosphatase 4 regulator subunit 1 (PP4R1) is overexpressed in GBC tissues and contributes to poor prognosis. Through a series of in vitro and in vivo experiments, we demonstrated that PP4R1 overexpression improved tumorigenesis in GBC cells. Further mechanistic exploration revealed that PP4R1 directly interacts with pyruvate kinase-M2 (PKM2), a key regulator of glycolysis. PP4R1 promotes the extracellular signal-related kinase 1 and 2 (ERK1/2)-mediated PKM2 nuclear translocation, thereby participating in the regulation of tumor glycolysis. Interestingly, we determined that PP4R1 strengthens the interaction between ERK1/2 and PKM2. Furthermore, PP4R1 enhanced the suppressive effects of the ERK inhibitor SCH772984 on GBC. In conclusion, our data showed that PP4R1 is a promising biomarker associated with GBC and confirmed that PP4R1 regulates PKM2-mediated tumor glycolysis, which provides a metabolic growth advantage to GBC cells, thereby promoting GBC tumor growth and metastasis1.

The association between metacognition, coping style and fear of cancer recurrence among postmastectomy patients: A cross sectional study.

PURPOSE: To investigate the incidence of fear of cancer recurrence (FCR) in Chinese postmastectomy patients and explore the relationships between metacognition, coping style, and FCR on the basis of the self-regulating executive function model. METHODS: A total of 480 postmastectomy patients from two tertiary comprehensive hospitals in Xi'an were enrolled from March 2021 to November 2021. The participants completed demographic information, the Metacognitions Questionnaire-30 (MCQ-30), Positive Metacognitions and Positive Meta-Emotions Questionnaire (PMCEQ), Simplified Copying Style Questionnaire (SCSQ), and Fear of Cancer Recurrence Inventory Short Form (FCRI-SF). RESULTS: 34.2% of the respondents had scores indicating a clinical level of FCR (FCRI-SF≥13). FCR had a positive correlation with maladaptive metacognition and negative coping style (P < 0.01), while adaptive metacognition and positive coping style were negatively correlated (P < 0.01). Besides, maladaptive metacognition had both direct and indirect effects on FCR, with the indirect effect primarily mediated by negative coping style (total effect, 0.430). Adaptive metacognition had both direct and indirect effects on FCR, with the indirect effect primarily mediated by positive coping style (total effect,ï¹£0.302). CONCLUSION: FCR was a common phenomenon in postmastectomy patients and moderate in most patients. In addition, both metacognition and coping style had a direct and indirect association with the occurrence and development of FCR. Moreover, adaptive metacognition and maladaptive metacognition had different mechanisms on FCR in patients with breast cancer.

The role of CD4+ T cells in tumor and chronic viral immune responses.

Immunotherapies are mainly aimed to promote a CD8+ T cell response rather than a CD4+ T cell response as cytotoxic T lymphocytes (CTLs) can directly kill target cells. Recently, CD4+ T cells have received more attention due to their diverse roles in tumors and chronic viral infections. In antitumor and antichronic viral responses, CD4+ T cells relay help signals through dendritic cells to indirectly regulate CD8+ T cell response, interact with B cells or macrophages to indirectly modulate humoral immunity or macrophage polarization, and inhibit tumor blood vessel formation. Additionally, CD4+ T cells can also exhibit direct cytotoxicity toward target cells. However, regulatory T cells exhibit immunosuppression and CD4+ T cells become exhausted, which promote tumor progression and chronic viral persistence. Finally, we also outline immunotherapies based on CD4+ T cells, including adoptive cell transfer, vaccines, and immune checkpoint blockade. Overall, this review summarizes diverse roles of CD4+ T cells in the antitumor or protumor and chronic viral responses, and also highlights the immunotherapies based on CD4+ T cells, giving a better understanding of their roles in tumors and chronic viral infections.

Effect of Metallic Coatings on the Wear Performance and Mechanism of 30CrMnSiNi2A Steel.

The finger lock structure of aircraft landing gear is prone to wear and failure during repeated locking and unlocking processes, which is disastrous for the service safety of the aircraft. At present, the commonly used material for finger locks in the industry is 30CrMnSiNi2A, which has a short wear life and high maintenance costs. It is crucial to develop effective methods to improve the wear resistance of 30CrMnSiNi2A finger locks. This work explores the wear resistance and wear mechanisms of different metallic coatings such as chromium, nickel, and cadmium-titanium on the surface of a 30CrMnSiNi2A substrate. The effects of load and wear time on the wear behavior are also discussed. The results indicated that the wear resistance of the chromium coating was the maximum. When the load was 80 N and 120 N, the wear mechanisms were mainly oxidation and adhesive. For greater loads, the wear mechanism of the coating after failure was mainly abrasive and oxidation, and the wear was extremely severe. When the load was 80 N, for a greater loading time, the wear mechanisms were mainly oxidation and adhesive.

ZFP64 Promotes Gallbladder Cancer Progression through Recruiting HDAC1 to Activate NOTCH1 Signaling Pathway.

The lack of meaningful and effective early-stage markers remains the major challenge in the diagnosis of gallbladder cancer (GBC) and a huge barrier to timely treatment. Zinc finger protein 64 (ZFP64), a member of the zinc finger protein family, is considered to be a promising predictor in multiple tumors, but its potential effect in GBC still remains unclear. Here, we identified that ZFP64 was a vital regulatory protein in GBC. We found that ZFP64 expressed higher in GBC gallbladder carcinoma tissues than in normal tissues and was positively correlated with poor prognosis. Furthermore, ZFP64 was responsible for the migration, invasion, proliferation, anti-apoptosis, and epithelial mesenchymal transition (EMT) of GBC cells in vitro and in vivo. Mechanistically, through Co-IP assay, we confirmed that ZFP64 recruits HDAC1 localized to the promoter region of NUMB for deacetylation and therefore inhibits NUMB expression. The downregulation of NUMB enhanced the activation of the Notch1 signaling pathway, which is indispensable for the GBC-promotion effect of ZFP64 on GBC. In conclusion, ZFP64 regulated GBC progression and metastasis through upregulating the Notch1 signaling pathway, and thus ZFP64 is expected to become a new focus for a GBC prognostic marker and targeted therapy.

Albendazole induces an anti-tumor effect and potentiates PD-L1 blockade immunotherapy.

BACKGROUND: Previously, albendazole (ABZ) has been reported as an anti-parasitic drug rather than anti-tumor drug. Our study aim to investigate whether ABZ also has a potential anti-tumor effect by shaping the tumor immune microenvironment and interrogate whether ABZ could synergize with the PD-L1 blockade. METHODS: C57BL/6 mice (C57) were intravenously injected with B16F10-luciferase (B16-luc) cells to establish a lung metastatic melanoma model and subcutaneously inoculated with B16-luc cells to establish a subcutaneous tumor model. The tumor volume and tumor metastasis loci of the mice were measured by a vernier caliper and in vivo imaging. RNA sequencing was performed to analyze the different genes and pathways of immune cells in the tumors. Flow cytometry and immunofluorescence were used to analyze the different subsets of tumor-infiltrating immune cells. RESULTS: The results suggested that ABZ significantly inhibited lung melanoma metastasis with decreased fluorescence intensity and nodule score and mediated the regression of subcutaneous melanoma in mice with decreased tumor volume. Moreover, RNA sequencing results showed that ABZ regulated the gene expression levels and pathways of immune cells in the tumor microenvironment (TME). Meanwhile, flow cytometry and immunofluorescence showed that the number and percentage of CD8+ T cells, CD4+ T cells, and TH1 cells were enhanced in tumors after ABZ treatment. Furthermore, the combination of ABZ and anti-PD-L1 treatment significantly potentiated anti-tumor efficacy in both lung metastasis and subcutaneous melanoma models and mediated an increase in the percentage of CD8+ T cells, CD4+ T cells, and TH1 cells as compared to the control group. CONCLUSION: ABZ inhibits melanoma growth and metastasis. Moreover, ABZ synergized with PD-L1 blockade mediates tumor regression.

Identification and verification of a novel anoikis-related gene signature with prognostic significance in clear cell renal cell carcinoma.

PURPOSE: Clear cell renal cell carcinomas (ccRCCs) are the most common form of renal cancer in the world. The loss of extracellular matrix (ECM) stimulates cell apoptosis, known as anoikis. A resistance to anoikis in cancer cells is believed to contribute to tumor malignancy, particularly metastasis; however, the potential influence of anoikis on the prognosis of ccRCC patients is not fully understood. METHODS: In this study, anoikis-related genes (ARGs) with discrepant expression were selected from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The anoikis-related gene signature (ARS) was built using a combination of the univariate Cox and least absolute shrinkage and selection operator (LASSO) analyses. ARS was also evaluated for their prognostic value. We explored the tumor microenvironment and enrichment pathways between different clusters of ccRCC. We also examined differences in clinical characteristics, immune cell infiltration and drug sensitivity between the high- and low-risk sets. In addition, we utilized three external databases and quantitative real-time polymerase chain reaction (qRT-PCR) to validate the expression and prognosis of ARGs. RESULTS: Eight ARGs (PLAUR, HMCN1, CDKN2A, BID, GLI2, PLG, PRKCQ and IRF6) were identified as anoikis-related prognostic factors. According to Kaplan-Meier (KM) analysis, ccRCC patients with high-risk ARGs have a worse prognosis. The risk score was found to be a significant independent prognostic indicator. According to tumor microenvironment (TME) scores, stromal score, immune score, and estimated score of the high-risk group were superior to those of the low-risk group. There were significant differences between the two groups regarding the amount of infiltrated immune cells, immune checkpoint expression as well as drug sensitivity. A nomogram was constructed using ccRCC clinical features and risk scores. The signature and the nomogram both performed well in predicting overall survival (OS) for ccRCC patients. According to a decision curve analysis (DCA), clinical treatment options for patients with ccRCC could be improved using this model. CONCLUSION: The results of validation from external databases and qRT-PCR were basically agreement with findings in TCGA and GEO databases. The ARS serving as biomarkers may provide an important reference for individual therapy of ccRCC patients.

JAG1 enhances angiogenesis in triple-negative breast cancer through promoting the secretion of exosomal lncRNA MALAT1.

Despite significant improvements in five-year survival rates due to early diagnosis and combination therapy, triple-negative breast cancer (TNBC) treatment remains a major challenge. Finding new and effective targets for diagnosis and drug therapy is urgent for TNBC patients. Jagged-1 (JAG1), one of the canonical ligands of the Notch signaling pathway, is involved in vascular budding and is a poor prognostic factor of TNBC. In this study, combined with quantitative real-time PCR, database analysis, animal experiments, and other means, JAG1 was confirmed to be related to the poor prognosis of TNBC patients. JAG1 was highly expressed in MDA-MB-231 Bone (231B) cells, with stronger invasion and metastasis ability than MDA-MB-231 (231) cells. Treatment of human vascular endothelial cells (HUVEC) with TNBC conditioned medium showed that TNBC JAG1 promoted the angiogenesis of HUVEC. Next, we detected the exosomes extracted from TNBC conditioned medium and found that JAG1 promoted the exosome secretion from 231 cells via ALIX-RAB11A/RAB35. In addition, we also found that the exosomes from JAG1 overexpressed TNBC cells contained more long non-coding RNA (lncRNA) MALAT1, and MALAT1 promoted angiogenesis of HUVEC by targeting miR-140-5p. Finally, the angiogenesis-promoting effect of JAG1 in TNBC was further investigated by matrix gel assay. In conclusion, we reveal that JAG1 has a pro-invasion effect on TNBC and is involved in microenvironment angiogenesis by promoting exosome secretion and the MALAT1-miR-140-5p-JAG1/VEGFA pathway.

Necroptosis-Related Modification Patterns Depict the Tumor Microenvironment, Redox Stress Landscape, and Prognosis of Ovarian Cancer.

Necroptosis is one of programmed cell death discovered recently, which involves in tumorigenesis, cancer metastasis, and immune reaction. We studied the necroptosis-related genes (NRGs) in ovarian cancer (OV) tissues using data from public databases, which separated into two NRGclusters. Patients in cluster A would have severe clinical characteristics, poor prognosis, and worse tumor microenvironment infiltration characteristics. The NRG score was achieved through the Cox analysis, along with a construction of a prognostic model. People with lower risk score would have better prognosis, lower expression of redox related genes, higher immunogenicity, and better effect on immunotherapy. In addition, the NRG score was closely related to cancer stem cell index, copy number variations, tumor mutation load, and chemosensitivity. We built a nomogram to enhance clinical application of the signature. These outcomes can help use know the function of NRGs in OV and provide new ideas for evaluating clinical outcome and developing more effective treatment protocols.

A Hypoxia Molecular Signature-Based Prognostic Model for Endometrial Cancer Patients.

Endometrial cancer has the highest incidence of uterine corpus cancer, the sixth most typical cancer in women until 2020. High recurrence rate and frequent adverse events were reported in either standard chemotherapy or combined therapy. Hence, developing precise diagnostic and prognostic approaches for endometrial cancer was on demand. Four hypoxia-related genes were screened for the EC prognostic model by the univariate, LASSO, and multivariate Cox regression analysis from the TCGA dataset. QT-PCR and functional annotation analysis were performed. Associations between predicted risk and immunotherapy and chemotherapy responses were investigated by evaluating expressions of immune checkpoint inhibitors, infiltrated immune cells, m6a regulators, and drug sensitivity. The ROC curve and calibration plot indicated a fair predictability of our prognostic nomogram model. NR3C1 amplification, along with IL-6 and SRPX suppressions, were detected in tumor. High stromal score and enriched infiltrated aDCs and B cells in the high-risk group supported the hypothesis of immune-deserted tumor. Hypoxia-related molecular subtypes of EC were then identified via the gene signature. Cluster 2 patients showed a significant sensitivity to Vinblastine. In summary, our hypoxia signature model accurately predicted the survival outcome of EC patients and assessed translational and transcriptional dysregulations to explore targets for precise medical treatment.

Should more aggressive surgical resection be considered in the treatment for Bismuth types I and II hilar cholangiocarcinoma? A meta-analysis.

Evidence regarding the optical surgical extent for Bismuth type I/II HCCA is lacking. we aims to evaluate the optimal surgical methods for Bismuth type I/II HCCA. Studies comparing bile duct resection (BDR) and BDR combined with liver resection (BDR + LR) for all types of HCCA patients were searched for analyses, and 14 studies were finally included. The main outcomes were the R0 resection rate and overall survival (OS). For all types of HCCA patents, BDR + LR resulted with higher R0 resection rates when comparing with BDR only (RR = 0.70, 95%CI, 0.63-0.78), and patients with R0 resections had eight times longer median survival and more long-time survival outcomes (3 and 5 year OS) comparing to those with non-R0 resections. Bismuth I/II HCCA patients also showed longer median survival and 3-year OS after R0 resections (P = 0.04). Moreover, there was no significant difference in 3-year OS between BDR and BDR + LR (P = 0.89) and we additionally found BDR resulted in less mortality or morbidity rates. In Europe and US, they resulted the R0 resection rates could be comparable between BDR and BDR + LR (P = 0.18), and Bismuth type I HCCA accounted for 75.8%, while in Asia, BDR + LR still resulted with higher R0 resection rates (P < 0.0001) and the Bismuth type I HCCA accounted for only 40.3%. The surgical approaches may not directly impact patient prognosis, patients with R0 resections are usually associated with improved survival outcomes; for selected Bismuth type I/II HCCA, BDR may be an acceptable option with regard to lower morbidity and comparable R0 resection rate comparing with BDR + LR.

Bone tumor necrosis rate detection in few-shot X-rays based on deep learning.

Although biopsy-based necrosis rate is a golden standard for reflecting the sensitivity of bone tumor and guiding postoperative chemotherapy, it requires biopsy which is invasive and time-consuming. In this paper, we develop a new necrosis rate detection method using time series X-ray images instead of biopsy. To overcome the limitations of few-shot samples, the proposed method utilizes a Generative Adversarial Network with Long Short-term Memory to generate time series X-ray images. For further data expansion, an image-to-image translation network is applied for producing the initial images. These augmented data are treated as the training set of a 3D-Convolutional Neural Network classification model. Our method expands the few-shot bone tumor X-rays by 10 times, and approaches the necrotic rate classification result of biopsy, which is the state-of-the-art technique in the detection of few-shot bone tumor necrosis rate. Furthermore, it provides an efficient method to investigate the bone tumor necrosis rate in few-shot samples.

Crosstalk of Redox-Related Subtypes, Establishment of a Prognostic Model and Immune Responses in Endometrial Carcinoma.

Redox plays a central part in the pathogeneses and development of tumors. We comprehensively determined the expression patterns of redox-related genes (RRGs) in endometrial carcinoma (EC) cohorts from public databases and identified four different RRG-related clusters. The prognosis and the characteristics of TME cell infiltration of RRGcluster C patients were worse than those of other RRG clusters. When it comes to the gene cluster, there were great differences in clinicopathology traits and immunocyte infiltration. The RRG score was calculated by Cox analyses, and an RRG-based signature was developed. The risk score performed well in the EC cohort. Samples were separated into two risk subgroups with the standard of the value of the median risk score. Low-risk patients had a better prognosis and higher immunogenicity. In addition, RRG score was closely associated with immunophenoscore, microsatellite instability, tumor mutation burden, tumor stem cell index, copy number variation and chemotherapy sensitivity. The nomogram accurately predicted the prognosis of patients, and our model showed better performance than other published models. In conclusion, we built a prognostic model of RRGs which can help to evaluate clinical outcomes and guide more effective treatment.

The Role of Photodynamic Therapy in Triggering Cell Death and Facilitating Antitumor Immunology.

Cancer is a major threat to human health because of its high mortality, easy recurrence, strong invasion, and metastasis. Photodynamic therapy (PDT) is a promising minimally invasive treatment for tumor. Compared with traditional treatment methods, PDT is less invasive and does not easily damage normal tissues. Most of the effects of this treatment are due to the direct effects of singlet oxygen together with reactive oxygen species. PDT can provide the source of active oxygen for the Fenton reaction, which enhances ferroptosis and also improves the efficacy of PDT in antitumor therapy. Additionally, in contrast to chemotherapy and radiotherapy, PDT has the effect of stimulating the immune response, which can effectively induce immunogenic cell death (ICD) and stimulate immunity. PDT is an ideal minimally invasive treatment method for tumors. In this paper, according to the characteristics of anti-tumor immunity of PDT, some tumor treatment strategies of PDT combined with anti-tumor immunotherapy are reviewed.

N7-Methylguanosine Genes Related Prognostic Biomarker in Hepatocellular Carcinoma.

Background: About 90% of liver cancer-related deaths are caused by hepatocellular carcinoma (HCC). N7-methylguanosine (m7G) modification is associated with the biological process and regulation of various diseases. To the best of our knowledge, its role in the pathogenesis and prognosis of HCC has not been thoroughly investigated. Aim: To identify N7-methylguanosine (m7G) related prognostic biomarkers in HCC. Furthermore, we also studied the association of m7G-related prognostic gene signature with immune infiltration in HCC. Methods: The TCGA datasets were used as a training and GEO dataset "GSE76427" for validation of the results. Statistical analyses were performed using the R statistical software version 4.1.2. Results: Functional enrichment analysis identified some pathogenesis related to HCC. We identified 3 m7G-related genes (CDK1, ANO1, and PDGFRA) as prognostic biomarkers for HCC. A risk score was calculated from these 3 prognostic m7G-related genes which showed the high-risk group had a significantly poorer prognosis than the low-risk group in both training and validation datasets. The 3- and 5-years overall survival was predicted better with the risk score than the ideal model in the entire cohort in the predictive nomogram. Furthermore, immune checkpoint genes like CTLA4, HAVCR2, LAG3, and TIGT were expressed significantly higher in the high-risk group and the chemotherapy sensitivity analysis showed that the high-risk groups were responsive to sorafenib treatment. Conclusion: These 3 m7G genes related signature model can be used as prognostic biomarkers in HCC and a guide for immunotherapy and chemotherapy response. Future clinical study on this biomarker model is required to verify its clinical implications.