Causal association of sarcopenia with hepatocellular carcinoma risk in European population: a Mendelian randomization study.

Background: The causal association of sarcopenia with the incidence risk of hepatocellular carcinoma (HCC) in the European population, and the potential mediating role of C-reactive protein (CRP), remains unclear. This study employed a bidirectional two-sample, two-step Mendelian randomization (MR) analysis to investigate the causality and identify the mediator. Methods: Summary statistics for HCC, CRP, and sarcopenia-related traits, including appendicular lean mass (ALM), hand grip strength (HGS), and walking pace (WP), were acquired from publicly available databases. We conducted bidirectional MR and Steiger tests of directionality to check the presence of reverse causality. Additionally, a two-step MR analysis was used to assess the mediating effect of CRP in the causality between sarcopenia and HCC. Tests for heterogeneity and horizontal pleiotropy were performed. Results: As ALM increases, the risk of HCC occurrence decreases [odds ratio (OR), 95% confidence interval (CI): 0.703, 0.524-0.943; P = 0.019]. And, genetically predicted low-HGS (OR, 95%CI: 2.287, 1.013-5.164; P = 0.047) was associated with an increased incidence risk of HCC, with no reverse causality. However, we found no evidence supporting a causality between WP and HCC. CRP was identified as the mediator of the causal effect of ALM and low-HGS on HCC, with corresponding mediating effects of 9.1% and 7.4%. Conclusions: This MR study effectively demonstrates that lower ALM and low-HGS are linked to an elevated risk of HCC within the European population, and the causality was not bidirectional. Furthermore, CRP serves as a mediator in the associations. These findings may help mitigate HCC risk among individuals with sarcopenia.

Efficacy and safety of tyrosine kinase inhibitors plus PD-1 inhibitor in patients with transarterial chemoembolization- refractory hepatocellular carcinoma: a two-center retrospective study.

Object: To investigate the efficacy and safety of tyrosine kinase inhibitors (TKIs: sorafenib and lenvatinib) plus PD-1 inhibitor (camrelizumab) versus TKIs alone in transarterial chemoembolization-refractory (TACE-refractory) hepatocellular carcinoma (HCC). Materials and methods: Data of TACE-refractory HCC patients treated with TACE+TKIs+PD-1 inhibitor (TACE+TKIs+PD-1group) (n=57) or TACE+TKIs (TACE+TKIs group) (n=50) from January 2019 to January 2022 were retrospectively collected and analyzed. The differences in overall survival (OS), progression-free survival (PFS), tumor responses (based on modified Response Evaluation Criteria in Solid Tumors) and adverse events (AEs) were compared between the two groups. Potential factors affecting OS and PFS were evaluated by univariate and multivariate analyses. Results: Compared with the TKIs group, both PFS and OS were prolonged in the TACE+TKIs+PD-1 group (median PFS: 7 months vs. 5 months, P=0.007; median OS: 17 months vs. 11 months, P=0.002). In multivariate analysis, tumor size and treatment were independent prognostic factors for PFS and OS. The incidence and severity of AEs related to the treatment between the two groups showed no significant difference. Conclusion: The treatment of TACE combined with TKIs plus camrelizumab demonstrated promising efficacy and safety in TACE-refractory HCC.

Identification and validation of INHBE and P4HA1 as hub genes in non-alcoholic fatty liver disease.

PURPOSE: Non-alcoholic fatty liver disease (NAFLD) is currently the most prevalent type of liver disease and a worldwide disease threatening human health. This study aims to identify the novel diagnostic biomarkers of NAFLD by comprehensive bioinformatics and machine learning, and to validate our results in hepatocyte and animal models. METHODS: We used Gene Expression Omnibus (GEO) databases on NAFLD patients for differential gene expression analyses. Intersections were taken with genes from the key modules of WGCNA and differentially expressed genes (DEGs). Machine learning algorithms like LASSO regression analysis, SVM-RFE, and RandomForest were used to screen hub genes. In addition, a nomogram model and calibration curves were built in order to forecast the probability of NAFLD occurrence. Then, the relationship between hub genes and immune cells was verified using Spearman analysis. Finally, we further verified the expression of key genes by constructing a steatosis hepatocyte model and animal model. RESULTS: Key genes (INHBE and P4HA1) were identified by comprehensive bioinformatics analysis and machine learning. INHBE and P4HA1 were up-regulated and down-regulated in the steatosis hepatocyte model, respectively. Animal experiments also showed that INHBE was up-regulated in the liver of mice fed with high fat diet (HFD). CONCLUSION: INHBE and P4HA1 are the hub genes of NAFLD. Our findings may contribute to a greater understanding of the occurrence and development of NAFLD and provide potential biomarkers and possible therapeutic targets for future clinical diagnosis and treatment.

Comprehensive analysis of basement membrane and immune checkpoint related lncRNA and its prognostic value in hepatocellular carcinoma via machine learning.

Background: Hepatocellular carcinoma (HCC), which is characterized by its high malignancy, generally exhibits poor response to immunotherapy. As part of the tumor microenvironment, basement membranes (BMs) are involved in tumor development and immune activities. Presently, there is no integrated analysis linking the basement membrane with immune checkpoints, especially from the perspective of lncRNA. Methods: Based on transcriptome data from The Cancer Genome Atlas, BMs-related and immune checkpoint-related lncRNAs were identified. By applying univariable Cox regression and Machine learning (LASSO and SVM-RFE algorithm), a 10-lncRNA prognosis signature was constructed. The prognostic significance of this signature was assessed by survival analysis. GSEA, ssGSEA, and drug sensitivity analysis were conducted to investigate potential functional pathways, immune status, and clinical implications of guiding individual treatments in HCC. Finally, the promoting migration effect of LINC01224 was validated via in vitro experiments. Results: The multiple Cox regression, receiver operating characteristic curves, and stratified survival analysis of clinical subgroups exhibited the robust prognostic ability of the lncRNA signature. Results of the GSEA and drug sensitivity analysis revealed significant differences in potential functional pathways and response to drugs between the two risk groups. In addition, the risk level of HCC patients was distinctly correlated with immune cell infiltration status. More importantly, LINC01224 was independently associated with the OS of HCC patients (P < 0.05), suppressing the expression of LINC01224 inhibited the migration of HCC cells. Conclusion: This study developed a reliable signature for the prognosis of HCC based on BM and immune checkpoint related lncRNA, revealing that LINC01224 might be a prognostic biomarker for HCC associated with the progression of HCC.

Low-density lipoprotein cholesterol and risk of hepatocellular carcinoma: a Mendelian randomization and mediation analysis.

BACKGROUND: A previous study demonstrated that low-density lipoprotein cholesterol (LDL-C) is associated with hepatocellular carcinoma (HCC); however, the causality between them has not been proven due to conflicting research results and the interference of confounders. This study utilized Mendelian randomization (MR) to investigate the causal relationship between LDL-C and HCC and identify the mediating factors. METHODS: LDL-C, HCC, and coronary artery disease (CAD) genome-wide association study (GWAS) data were obtained from a public database. To investigate causality, inverse variance weighting (IVW) was the main analysis approach. MR‒Egger, simple mode, weighted median (WM), and weighted mode were employed as supplementary analytic methods. In addition, horizontal pleiotropy and heterogeneity were tested. To evaluate the stability of the MR results, a "leave-one-out" approach was used. Multivariate MR (MVMR) was utilized to correct the confounders that might affect causality, and mediation analysis was used to investigate the potential mediating effects. Finally, we used HCC risk to infer the reverse causality with LDL-C level. RESULTS: Random effects IVW results were (LDL-C-HCC: odds ratio (OR) = 0.703, 95% confidence interval (CI) = [0.508, 0.973], P = 0.034; CAD-HCC: OR = 0.722, 95% CI = [0.645, 0.808], P = 1.50 × 10-8; LDL-C-CAD: OR = 2.103, 95% CI = [1.862, 2.376], P = 5.65 × 10-33), demonstrating a causal link between LDL-C levels and a lower risk of HCC. Through MVMR, after mutual correction, the causal effect of LDL-C and CAD on HCC remained significant (P < 0.05). Through mediation analysis, it was proven that CAD mediated the causative connection between LDL-C and HCC, and the proportion of mediating effect on HCC was 58.52%. Reverse MR showed that HCC could affect LDL-C levels with a negative correlation (ORIVW = 0.979, 95% CI = [0.961, 0.997], P = 0.025). CONCLUSION: This MR study confirmed the causal effect between LDL-C levels and HCC risk, with CAD playing a mediating role. It may provide a new view on HCC occurrence and development mechanisms, as well as new metabolic intervention targets for treatment.

Comprehensive analysis of the tumor-promoting effect and immune infiltration correlation MAZ from pan-cancer to hepatocellular carcinoma.

BACKGROUND: Myc-associated zinc-finger protein (MAZ) is a transcription factor, which has been confirmed to be abnormally expressed in many tumors and involved in regulating the proliferation, migration, apoptosis, and autophagy of tumor cells. Currently, there is a lack of comprehensive analysis of MAZ in pan-cancer, and the mechanism of MAZ in hepatocellular carcinoma (HCC) and its association with immunotherapy remains unclear. METHODS: The expression, prognostic mutation, sCNA, and tumor immunity characteristics of MAZ in 33 types of tumors were analyzed by The Cancer Genome Atlas (TCGA), GEPIA, and TIMER databases. The association of MAZ expression levels with drug sensitivity, immunotherapy, immune checkpoints, and HLA-associated genes was further analyzed. Transwell, CCK-8, wound healing, and flow cytometry verified that MAZ affected the malignant cell behavior of HCC. The signaling pathways and cellular functions affected by MAZ in HCC were revealed by GSEA enrichment analysis. RESULTS: The expression level of MAZ was up-regulated, and the high expression of MAZ indicated a high-risk prognostic factor in most tumors, including ACC, BLCA, KIRP, LIHC, PRAD, SKCM, and THCA (p < 0.05). MAZ expression was positively correlated with the sensitivity of most chemotherapy drugs (p < 0.05). HLA-DQB2, HLA-H, and most immune checkpoint genes were remarkably up-regulated in the high MAZ expression group (p < 0.05). GSEA analysis revealed that MAZ expression was highly correlated with the intracellular immune-related functions and cancer-related signaling pathway, including the B cell receptor signaling pathway, complement activation, humoral immune response, TGF-ß signaling pathway, and Wnt signaling pathway. The overexpression of MAZ in HCC cells could promote the abilities of cell proliferation and migration and inhibit tumor cell apoptosis. CONCLUSION: Our study revealed that MAZ might play a role in promoting the progression of HCC. It was closely related to the tumor microenvironment, immune cell infiltration, and immune escape in pan-cancer. Moreover, this study provides new insights into MAZ as a prognostic marker and potential therapeutic target in HCC.

Prognostic and clinicopathological values of LINC00665 in cancers: a systematic review and China population-based meta-analysis.

BACKGROUND: Recent studies have uncovered that the aberrant expression of LINC00665 contributes to the malignant pathological process of various cancers and is closely related to the unfavorable prognosis of patients with cancer. However, a systematic analysis of the prognostic and clinicopathologic values of LINC00665 in cancers has not been conducted. OBJECTIVE: We aim to clarify the association of LINC00665 expression with patient survival and clinicopathologic phenotypes in cancers. METHODS: An electronic search of PubMed, Embase and Web of Science was performed to select eligible literature. Pooled hazard ratio (HR) and odds ratio (OR) were calculated to assess the clinical importance of LINC00665. The fixed-effects model was used to analyze the combined HR values and 95% CI when the studies had no significant heterogeneity (P > 0.1 for the Chi-square test or I2 < 50%). Begg's test and sensitivity analysis were also conducted. This study was registered in The International Prospective Register of Systematic Reviews (PROSPERO registration number: CRD42021290123). RESULTS: A total of 710 patients from 10 eligible studies were enrolled in this meta-analysis, which was based on China population. The pooled results of this analysis revealed that high-level expression of LINC00665 was notably correlated with poor overall survival (HR = 2.08, 95% CI = 1.57-2.75) and recurrence-free survival (HR = 2.49, 95% CI = 1.63-3.80) in human cancers. Elevated LINC00665 expression was also correlated with more advanced clinical stage, earlier lymph node metastasis, lower tumor differentiation, earlier distant metastasis and larger tumor size. CONCLUSION: LINC00665 expression was critically related to the cancer prognosis, which has important prognostic implications for clinical prediction.

Prognostic Implication of a Cuproptosis-Related miRNA Signature in Hepatocellular Carcinoma.

Background: Hepatocellular carcinoma (HCC) is one of the most frequently diagnosed malignancies globally, accounting for the third cause of cancer mortality. Cuproptosis, a copper-induced cell death, was recently reported in Science. The purpose of this study was to evaluate the prognostic implication of cuproptosis-related miRNAs (CRMs) in HCC. Methods: Transcriptomic data and clinicopathological features of patients with HCC were extracted from the Cancer Genome Atlas (TCGA) database. Prognostic CRM signature was established by utilizing univariate Cox regression and LASSO analyses. To validate the accuracy of prediction, the Kaplan-Meier (K-M) and time-dependent receiver operating characteristic (ROC) analyses were adopted. A nomogram comprising clinical characteristics and the miRNA signature was developed to improve the prediction of patient outcomes. Finally, functional enrichment analysis and immune infiltration analysis were carried out. Results: Of CRMs, 14 were obtained to construct a prognostic miRNA signature. This CRM signature was an independent factor for predicting overall survival (OS). Kaplan-Meier curves demonstrated a noteworthy difference in survival rates between different risk subgroups (p < 0.001). The robust prognostic capacity of this signature was exhibited by sampling verification and stratified survival analysis. Functional analysis indicated that the high-risk group was mainly enriched in signaling pathways and different levels of immune infiltration were revealed between the two risk groups. The potential interaction of the model with the immune checkpoint activities was also detected. Conclusion: The CRM signature could act as an independent predictor to guide individual treatment strategies, which could provide fundamental insights for further studies.

Intelligent Bi2Se3@Cu2-xSe heterostructures with enhanced photoabsorption and photoconversion efficiency for tri-modal imaging guided combinatorial cancer therapy by near-infrared â ¡ light.

A novel nanoplatform that supports multimodal imaging has been designed for deep tumor therapy. In this study, Bi2Se3@Cu2-xSe heterojunction nanocomposites with tunable spectral absorption, effective electron-hole separation and high photothermal conversion efficiency were prepared for the combination therapy of phototherapy (PT), chemodynamic therapy (CDT) and radiotherapy (RT). By adjusting the doping ratio, the heterojunction nanoparticles show obvious tunable ability of local surface plasmon resonance and the ability to promote electron-hole separation with significantly enhanced reactive oxygen species production capacity. The band structure and charge density difference calculated by density functional theory further reveal that the change of band gap and the decrease of free carriers can regulate the spectral absorption of nanomaterials and promote electron-hole separation. In addition, the photothermal conversion properties of low carrier density semiconductors are related to their inherent deep level defects. The formation of heterojunctions making the Se atoms deviate from the Bi2Se3 lattice, resulting in more deep level defects and stronger photothermal conversion properties. Meanwhile, this nanoplatform presented features similar to catalase activities and glutathione (GSH) consumption characteristics, which was capable of effectively alleviate the tumor-specific hypoxia environment to enhance the efficacy of O2-dependent photodynamic therapy (PDT) and radiotherapy (RT) and depletion GSH to prevent the reduction of therapeutic efficacy due to the clearance of reactive oxygen species. In addition to therapeutic enhancement, heterojunction nanomaterials have excellent nuclear magnetic resonance imaging (MRI), infrared thermal imaging (IR) and computed tomography (CT) properties due to their significant paramagnetism and excellent photothermal conversion and X-ray attenuation capacities. In conclusion, our findings provide a new strategy for designing multi-function and efficient nanoplatform to treat tumor.

Comprehensive analysis of ZFPM2-AS1 prognostic value, immune microenvironment, drug sensitivity, and co-expression network: from gastric adenocarcinoma to pan-cancers.

BACKGROUND: ZFPM2-AS1, as an oncogenic lncRNA, plays an essential role in the progression of several tumors. However, the prognostic significance, biological function, and molecular mechanism of ZFPM2-AS1 in most tumors have not been fully elucidated. METHODS: We analyzed differentially expressed immune-related lncRNAs (IRlncRNAs) and clustered gastric adenocarcinoma (GAC) samples based on these lncRNAs expression. Then, WGCNA and survival analysis were performed to determine key IRlncRNA (ZFPM2-AS1) in GAC. The comprehensive analysis was performed to evaluate the association between ZFPM2-AS1 expression and survival, tumor microenvironment (TME), immune-related factors, and related signal pathways in pan-cancers. Furthermore, we constructed a co-expression network of ZFPM2-AS1, and NUP107 and C8orf76 were identified as target mRNAs. We further evaluated the role of NUP107 and C8orf76 in the GAC microenvironment. More importantly, real-time polymerase chain reaction (qRT-PCR) was employed to validate ZFPM2-AS1, NUP107 and C8orf76 expression. RESULTS: ZFPM2-AS1 was remarkably overexpressed and correlated with poor overall survival in most tumors. Further analysis showed that ZFPM2-AS1 was related to various immune cells infiltrated in the microenvironment of most tumors. GSEA revealed that ZFPM2-AS1 in GAC was primarily involved in immune-related pathways. Furthermore, NUP107 and C8orf76 were identified as potential target mRNAs of ZFPM2-AS1, which was related to infiltrating immune cells in the GAC microenvironment. qRT-PCR verified that ZFPM2-AS, NUP107 and C8orf76 were highly expressed in gastric cancer cells. CONCLUSION: ZFPM2-AS1 could be a potential biomarker for cancer prognosis, and a promising immune target for cancer therapy. Furthermore, ZFPM2-AS1 might play an immunosuppressive role in the GAC microenvironment.

A Novel Angiogenesis-Related Prognostic Signature Associated with the Hepatocellular Carcinoma Immune Microenvironment and Survival Outcome.

PURPOSE: Hepatocellular carcinoma (HCC) is a highly vascularized solid tumor characterized by neovascularization and vascular invasion. Angiogenesis plays an essential role in the occurrence and development of liver cancer. Our study aimed to investigate the prognostic value of angiogenesis-related genes in liver cancer. PATIENTS AND METHODS: The transcriptome data and corresponding clinical information of patients with liver cancer were downloaded from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) databases. In the TCGA cohort, differential expression and prognostic analyses were used to screen angiogenesis-related candidate prognostic genes. We then used least absolute shrinkage and selection operator regression analysis to construct a prognostic signature using 10 angiogenesis-related prognostic genes. The reliability of the prognostic signature was assessed in the TCGA and ICGC cohorts. In addition, we comprehensively analyzed the correlation of the prognostic signature with the tumor microenvironment, chemotherapy drugs, and specific genes. RESULTS: We identified 37 angiogenesis-related differentially expressed genes that were remarkably associated with prognosis. Ten of these genes were used to establish a survival and prognostic signature. This signature can distinguish between high-risk and low-risk groups and performs well in overall survival prediction, as demonstrated by internal and external validations. In addition, we observed that the high-risk group was remarkably associated with immune infiltration in the tumor microenvironment and had a different sensitivity to chemotherapeutic agents compared with the low-risk group. Moreover, the high-risk population was positively correlated with the expression of several special genes, such as immune checkpoint-related genes. CONCLUSION: Our results demonstrated that prognostic signatures based on angiogenesis-related genes are involved in the development of HCC and may provide new insights into accurate clinical decision-making and therapeutic evaluation of patients with HCC.

Inflammatory biomarkers in older adults with frailty: a systematic review and meta-analysis of cross-sectional studies.

BACKGROUND: Systemic chronic inflammation has been proposed as an essential mediating factor in frailty, and several studies tested its relationship with frailty. However, the issue is still controversial. OBJECTIVES: We identified observational studies and pooled their results to assess whether abnormal expression of inflammatory biomarkers is present in the blood of older adults with frailty. METHODS: We conducted a systematic search on the Medline, Embase, and Web of Science database from inception to 1st September 2021. The quality of included studies was assessed using the JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies (JBI-MAStARI). Study heterogeneity was assessed with the Cochran Q test and I2 statistic. Pooled estimates were obtained through random-effect models. Sensitivity analyses were conducted by excluding one of the studies. Egger's regression test and observation of funnel plots were used to detect small-study effects and publication bias. PROSPERO registration: CRD42020172853. RESULT: A total of 53 cross-sectional studies corresponding to 56 independent study populations were included in this analysis. There were 31 study populations with three frailty categories (3144 frailty, 14,023 pre-frailty, 10,989 robust) and 25 study populations with two frailty categories (2576 frailty, 8368 non-frailty). This meta-analysis performed pooled analyses for the inflammatory biomarker leukocyte, lymphocytes, CRP, IL-6, IL-10, and TNF-α. Older adults with frailty had lower lymphocytes and higher interleukin-6 (IL-6), C-reactive protein (CRP) and tumor necrosis factor-alpha (TNF-α) levels compared with the control group. However, there was no significant difference in leukocyte and IL-10 levels in the two groups. CONCLUSIONS: These findings suggest that peripheral inflammatory biomarkers lymphocytes, IL-6, CRP, and TNF-α are related to frailty status. Our findings are not conclusive regarding the causal relationship between chronic inflammation and frailty, so the development of further longitudinal and well-designed studies focused on this is necessary.

Multifunctional phototheranostic nanoplatform based on polydopamine-manganese dioxide-IR780 iodide for effective magnetic resonance imaging-guided synergistic photodynamic/photothermal therapy.

Multifunctional phototheranostics combining diagnostic and therapeutic modalities may provide a revolutionary opportunity for cancer treatment. As a promising tumor phototheranostic molecule, IR780 iodide (IR780) shows excellent photodynamic and photothermal performance under near-infrared laser irradiation; however, its hydrophobicity and instability limit its further use in organisms. This work demonstrates the design and development of a multifunctional nanoplatform (PMIDA, referring to polydopamine (PDA)-manganese dioxide (MnO2)-IR780) for imaging-guided phototherapy. The good biocompatibility of PDA greatly improves the water solubility and photostability of IR780, and its excellent photothermal properties make PMIDA a dual photothermal therapy (PTT). MnO2-induced generation of oxygen in the tumor microenvironment improves the hypoxia effect and photodynamic therapy (PDT) of IR780. Moreover, Mn2+ serves as a decent T1-weighted magnetic resonance imaging (MRI) probe to guide treatment. Notably, in relevant cellular assays, PMIDA shows high photodynamic and photothermal effects contributing to the final therapeutic effect. The MRI-guided PDT/PTT synergistic therapy effect in vivo is demonstrated by precise tumor diagnosis and complete tumor elimination outcomes. Based on these experiments, PMIDA nanoparticles display promising effects in facilitating intravenous injection of IR780 and achieving magnetic resonance imaging (MRI)-guided phototheranostic efficacy for tumor treatment.

Identification and Validation of the lncRNA BACE1-AS as Immune-Related Influencing Factor in Tumorigenesis following Pan-Carcinoma Analysis.

BACKGROUND: The lncRNA BACE1-AS was identified as a plasma molecular marker in the early diagnosis of Alzheimer's disease, but its role in tumors remains poorly defined. METHODS: The expression patterns, genomic mutation, and prognostic significance of BACE1-AS in pan-cancers were compared by analyzing 32 types of tumors from The Cancer Genome Atlas and cBioPortal databases. The relationships between BACE1-AS expression levels and the degree of immune cell infiltration, immune components, and immune-related genes were explored. The possible molecular mechanisms of BACE1-AS in tumors were explored using gene set enrichment analysis (GSEA). Finally, the role of BACE1-AS in hepatocellular carcinoma was confirmed via quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: BACE1-AS expression levels were significantly upregulated in LIHC, GBM, KIRC, CHOL, STAD, KICH, COAD, and PRAD. Higher expression levels of BACE1-AS were associated with worse overall survival in patients with HNSC and LIHC, while the opposite was found in PCPG and THCA. The overall mutation rate of BACE1-AS in pan-cancer was only approximately 0.9%, and it occurred mainly in uveal melanoma and uterine carcinoma. Generally, BACE1-AS expression was negatively correlated with the immune microenvironment. BACE1-AS expression was mainly related to naïve B cells, activated memory CD4 T cells, monocytes, M1 macrophages, M2 macrophages, and resting mast cells. The potential mechanisms of BACE1-AS in tumors were mainly via regulating the activities of B cell-mediated immunity, immune response regulating cell surface receptor signaling, RNA binding in posttranscriptional gene silencing, B cell receptor signaling pathways, and immune receptor activity. Finally, the qRT-PCR results confirmed that the expression levels of BACE1-AS in hepatocellular carcinoma cell lines were upregulated. CONCLUSIONS: Overall, our results suggest that BACE1-AS is associated with the expression, prognosis, and rate of immune cell infiltration of most tumors. Thus, BACE1-AS may be a potential target for immunotherapies aimed at improving cancer patient outcomes.

Non-Coding RNAs in Gastric Cancer: From Malignant Hallmarks to Clinical Applications.

Gastric cancer (GC) is one of the most lethal malignancies worldwide. However, the molecular mechanisms underlying gastric carcinogenesis remain largely unknown. Over the past decades, advances in RNA-sequencing techniques have greatly facilitated the identification of various non-coding RNAs (ncRNAs) in cancer cells, including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs). Accumulating evidence has revealed that ncRNAs are essential regulators in GC occurrence and development. However, ncRNAs represent an emerging field of cancer research, and their complex functionality remains to be clarified. Considering the lack of viable biomarkers and therapeutic targets in GC, further studies should focus on elucidating the intricate relationships between ncRNAs and GC, which can be translated into clinical practice. In this review, we summarize recent research progress on how ncRNAs modulate the malignant hallmarks of GC, especially in tumor immune escape, drug resistance, and stemness. We also discuss the promising applications of ncRNAs as diagnostic biomarkers and therapeutic targets in GC, aiming to validate their practical value for clinical treatment.

Development of copper vacancy defects in a silver-doped CuS nanoplatform for high-efficiency photothermal-chemodynamic synergistic antitumor therapy.

The combination of chemodynamic and photothermal materials can not only improve the therapeutic effect of chemodynamic therapy (CDT) by thermal stimulation, but also play a synergistic therapeutic role. Benefitting from the strong near-infrared absorption ability, copper sulfide (CuS) nanomaterials are widely used in photothermal therapy. However, due to the harsh preparation conditions, low photothermal efficiency and poor biocompatibility, further biomedical application is limited. In this work, silver-doped copper sulfide nanoparticles (BSA-Ag:CuS) were synthesized using a biomineralization strategy using bovine serum albumin (BSA) as a template and stabilizer. Silver doping greatly improved the near-infrared absorption and photothermal efficiency of CuS nanoparticles, which can be used for 1064 nm laser-guided photothermal therapy (PTT). Meanwhile, BSA-Ag:CuS nanoparticles had a synergistic therapeutic effect with CDT and thus showed excellent antitumor performance. In vivo and in vitro biological experiments have shown that BSA-Ag:CuS nanoparticles have good stability, low toxicity, good biocompatibility and strong antitumor ability, and are promising as antitumor agents for future clinical cancer treatment.

The Mutation and Expression Level of LRP1B are Associated with Immune Infiltration and Prognosis in Hepatocellular Carcinoma.

PURPOSE: This study aimed to explore the expression level and mutation of LRP1B in hepatocellular carcinoma (HCC) and to analyse the relationship between its prognostic value and immune invasion. METHODS: HCC mutant gene sets were obtained from the Cancer Genome Atlas and International Cancer Genome Consortium databases. The Kaplan-Meier method was used to evaluate the prognostic value of LRP1B expression and mutation load in HCC. The relationships between LRP1B expression level and immune cells and immune marker molecules were analysed by using the TIMER database. The association of LRP1B expression with drug sensitivity was obtained by using CellMiner. Gene set enrichment analysis and co-expression by Spearman correlation analysis were used to explore the internal mechanism of LRP1B in HCC. RESULTS: Seventeen most commonly mutated genes were screened out, and LRP1B was the only gene associated with HCC prognosis. The copy number variations were significantly correlated with T cell CD8+ (P < 0.05). LRP1B expression level was positively correlated with the infiltration degree of macrophage (P < 0.05, R = 0.132), myeloid dendritic cell (P < 0.05, R = 0.093), neutrophil (P < 0.05, R = 0.134) and T cell CD8+ cells (P < 0.05, R = 0.102) and negatively correlated with B cell (P < 0.05, R = -0.014) and T cell CD4+ (P < 0.05, R = -0.075). LRP1B expression level was significantly correlated with immunomarker molecules and drug sensitivity (all P < 0.05). The prediction of lncRNA RUSC1-AS1/hsa-miR-215-5p/LRP1B axis by bioinformatics may be the potential mechanism underlying LRP1B's effect on HCC prognosis and progression. CONCLUSION: LRP1B plays a vital role in HCC prognostic value, which is expected to be a new potential therapeutic target for HCC. LRP1B provides a theoretical basis for the clinical targeted therapy of HCC.

A Novel Autophagy-Related lncRNA Prognostic Signature Associated with Immune Microenvironment and Survival Outcomes of Gastric Cancer Patients.

PURPOSE: Autophagy plays a crucial role in the initiation and progression of gastric cancer (GC). However, the role of autophagy-related lncRNAs in GC remains unknown. This study aimed to investigate the prognostic value of the autophagy-related lncRNA signature and its role in the tumor immune microenvironment (TIME) of GC. METHODS: RNA-sequencing (RNA-seq) and clinical data of GC patients were extracted from The Cancer Genome Atlas (TCGA) database. Univariate and multivariate Cox regression analyses were performed to identify the autophagy-related lncRNA prognostic signature which was validated in the test set and entire set. The survival and predictive performance were analyzed based on the Kaplan-Meier and ROC curves. Furthermore, the CIBERSORT algorithm was applied to explore the relationship between this signature and the immune cell infiltration. To elucidate the potential functions of autophagy-related lncRNAs in GC, we constructed the lncRNA-mRNA co-expression network and performed enrichment analysis. Principal component analysis (PCA) and Gene Set Enrichment Analysis (GSEA) were further performed to compare the different statuses between the high-risk and low-risk groups. RESULTS: We identified 5 autophagy-related lncRNAs (AL355574.1, AC010768.2, AP000695.2, AC087286.2, and HAGLR) to construct a prognostic signature. This signature could be an independent prognostic indicator for GC patients and had a higher prediction efficiency than other clinicopathological parameters. Furthermore, patients in the high-risk score group had a stronger immunosuppressive microenvironment than the low-risk group. The enrichment analysis for mRNAs co-expressed with these lncRNAs indicated that autophagy-related signaling pathways were remarkably enriched. PCA and GSEA further revealed different autophagy and immune statuses in the high- and low-risk groups. CONCLUSION: The 5 autophagy-related lncRNA signature has significant clinical implications in prognosis prediction of GC. Meanwhile, our study elucidates the critical role of the autophagy-related lncRNA signature in the TIME of GC.

KIF18B as a regulator in tumor microenvironment accelerates tumor progression and triggers poor outcome in hepatocellular carcinoma.

BACKGROUND: The tumor microenvironment plays an important role in the progression and recurrence of tumors and immunotherapy outcomes. The use of immune checkpoint blockers to improve the overall survival rate of patients with advanced hepatocellular carcinoma has yielded inconsistent outcomes. We examined the tumor microenvironment-related genes for their clinical significance and biological functions in hepatocellular carcinoma. METHODS: Bioinformatic analysis was performed to screen the differentially expressed genes and to identify the core gene of the tumor microenvironment in hepatocellular carcinoma. The expression of KIF18B in hepatocellular carcinoma cell lines and tumor samples was determined using western blotting, quantitative real-time polymerase chain reaction, and immunohistochemistry. The malignancy-promoting ability of KIF18B was evaluated using Cell Counting Kit-8, colony formation, cell proliferation, migration and invasion, and xenograft tumor assays. RESULTS: KIF18B was identified as one of the core genes in the hepatocellular carcinoma microenvironment and was significantly associated with infiltrating immune cell subtypes and tumor cell stemness. Upregulation of KIF18B was associated with poor clinicopathological characteristics and poor patient outcomes; its downregulation inhibited the proliferation ability of hepatocellular carcinoma cells, which was consistent with the findings of in vivo experiments. Knockdown of KIF18B inhibited epithelial-mesenchymal transition which reduced the migration and invasion abilities of tumor cells. A pulmonary metastasis model confirmed that the downregulation of KIF18B inhibited hepatocellular carcinoma cell metastasis in vivo. CONCLUSION: KIF18B could be a useful marker for determining the treatment outcomes of immune checkpoint blockers in the context of hepatocellular carcinoma.

KIF18B is a Prognostic Biomarker and Correlates with Immune Infiltrates in Pan-Cancer.

Background: Cancer is one of the deadliest diseases at present. Although effective screening and treatment can save lives to a certain extent, our knowledge of the disease is far from sufficient. KIF18B is a member of the kinesin-8 superfamily and plays a conserved regulatory role in the cell cycle. KIF18B reportedly functions as an oncogene in some human cancers, but the correlations between KIF18B and prognosis and immune-infiltrates in different cancers remain unclear. Methods: Data were collected from the TCGA, GTEx, CCLE, TIMER, and GSEA databases. The expression difference, survival, pathological stage, DNA methylation, tumor mutation burden (TMB), microsatellite instability (MSI), mismatch repairs (MMRs), tumor microenvironment (TME), immune cell infiltration, and gene co-expression of KIF18B were analyzed using the R language software. Results: KIF18B was widely upregulated in cancers, compared with normal tissues, and high KIF18B expression was associated with unfavorable prognoses. TMB, MSI, MMRs, and DNA methylation correlated with KIF18B dysregulation in cancers. KIF18B correlated closely with tumor immunity and interacted with different immune cells and genes in different cancer types. Conclusion: KIF18B could be used as a prognostic biomarker for determining prognosis and immune infiltration in pan-cancer.