Background:Cancer cells reprogram metabolism for proliferation.Phosphoglycerate kinase 1(PGK1),as a glycolytic enzyme and newly identified protein kinase,coordinates glycolysis and mitochondrial metabolism.However,the...Background:Cancer cells reprogram metabolism for proliferation.Phosphoglycerate kinase 1(PGK1),as a glycolytic enzyme and newly identified protein kinase,coordinates glycolysis and mitochondrial metabolism.However,the clini-cal significance of PGK1 expression and function in cancer progression is unclear.Here,we investigated the relation-ship between the progression and prognosis of multiple cancer types and PGK1 expression and its function in the mitochondrial metabolism regulation.Methods:We performed pan-cancer analyses of PGK1 mRNA level and DNA methylation in 11,908 tumor tissues and 1582 paired normal tissues across 34 cancer types in The Cancer Genome Atlas datasets.Using specific antibodies against PGK1 S203 and PDHK1 T338 phosphorylation,we performed immunohistochemistry with tissue microarray assay in additional 818 cancer cases with 619 paired normal tissues from five cancer types.Results:The PGK1 mRNA level was significantly elevated with hypomethylation in promotor regions and associated with advanced TNM stage in 15 and four cancer types,respectively.In breast carcinoma,elevated PGK1 mRNA level and promoter hypomethylation were associated with poor prognosis.Positively correlated PGK1 S203 and PDHK1 T338 phosphorylation levels were significantly associated with short overall survival(OS)in cancers of the breast,liver,lung,stomach,and esophagus and with advanced TNM stage in breast and esophageal cancers.PGK1 pS203 and PDHK1 pT338 were also independent predictors of short OS in liver,lung,and stomach cancer.Conclusions:The elevated expression,promoter hypomethylation,and phosphorylation of PGK1 and PDHK1 were related with disease progression and short OS in diverse types of cancer.PGK1 and PDHK1 phosphorylation may be potential prognostic biomarkers.展开更多
目的探究肝癌患者的差异基因表达量与预后的相关性,以及差异基因在多种癌症的调控作用,并寻找潜在的治疗靶点以及对应中药,为临床中药的使用、中医药组方及加减用药提供依据。方法从TCGA数据库下载肿瘤患者的转录组数据以及相应临床数据...目的探究肝癌患者的差异基因表达量与预后的相关性,以及差异基因在多种癌症的调控作用,并寻找潜在的治疗靶点以及对应中药,为临床中药的使用、中医药组方及加减用药提供依据。方法从TCGA数据库下载肿瘤患者的转录组数据以及相应临床数据,使用R语言的edgeR包分析得出差异表达基因,并筛选、分析关键基因在泛癌的表达量及共表达情况;进一步筛选得到核心基因,研究其在泛癌中具体肿瘤的表达情况,以及肝癌临床相关性分析,并将核心基因提交至TIMER、THPA数据库,研究免疫细胞相关性和病理学情况;最后通过Coremine数据库查找核心基因对应中药,使用TCMSP、BATMAN-TCM数据库查找中药有效成分,利用Cytoscape软件制作药物-核心基因网络图,并进行京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。结果共筛选出10个关键基因,选取其中5个核心基因CCNB1、TOP2A、CCNA2、CDK1、CDC20,进行后续分析得出其与肝癌的预后生存呈负相关,与肝癌的免疫细胞呈正相关,并得到基因过表达病理学图片。其对应中药为丹参、枳实、枳壳、人参叶、人参芦、甘草、人参、蜂蜜。KEGG富集分析显示中药除调控核心基因外仍通过多靶点起作用。结论通过生物信息学技术分析得到肝癌核心基因及相关信号通路与治疗靶点,并得到调控中药名称及其有效成分。为治疗肝癌以及其他癌症的中药复方研发提供思路。展开更多
Background:Doublecortin(DCX),a microtubule-associated protein,is best known for its critical role in neuronal migration during neural development,where it stabilizes microtubules and guides neurons to their proper pos...Background:Doublecortin(DCX),a microtubule-associated protein,is best known for its critical role in neuronal migration during neural development,where it stabilizes microtubules and guides neurons to their proper positions.Recently,DCX has been implicated in various cancer processes,suggesting it may influence tumor progression and the tumor microenvironment.Emerging evidence indicates that DCX can modulate cell migration,invasion,and interaction with immune cells,making it a potential player in oncogenesis.However,the role of DCX across different cancer types and its potential as a prognostic biomarker remain underexplored,necessitating a comprehensive analysis.Methods:We utilized The Cancer Genome Atlas to extract data on DCX expression in tumor and adjacent normal tissues across diverse cancer types.Differential expression analysis was conducted using differential expression sequencing 2.Survival analysis was performed with Kaplan-Meier estimates and Cox proportional hazards models.Correlations between DCX expression and tumor mutational burden,microsatellite instability,and immune infiltration were examined using Spearman’s correlation.Results:DCX showed variable expression across cancer types,with significant overexpression in certain tumors such as liver and lung cancer and downexpression in others like breast cancer.High DCX expression was correlated with poor prognosis in adrenocortical carcinoma but with better outcomes in low-grade glioma.Additionally,DCX expression was significantly associated with various immune markers and chemokines,suggesting a role in modulating the immune microenvironment.Conclusion:Our findings highlight the complex role of DCX in cancer,underlining its potential as a prognostic marker and its involvement in immune-related pathways.Targeting DCX could represent a novel approach to modulating tumor behavior and enhancing immune response in cancer therapy.展开更多
The identification of tumor driver genes facilitates accurate cancer diagnosis and treatment,playing a key role in precision oncology,along with gene signaling,regulation,and their interaction with protein complexes.T...The identification of tumor driver genes facilitates accurate cancer diagnosis and treatment,playing a key role in precision oncology,along with gene signaling,regulation,and their interaction with protein complexes.To tackle the challenge of distinguishing driver genes from a large number of genomic data,we construct a feature extraction framework for discovering pan-cancer driver genes based on multi-omics data(mutations,gene expression,copy number variants,and DNA methylation)combined with protein–protein interaction(PPI)networks.Using a network propagation algorithm,we mine functional information among nodes in the PPI network,focusing on genes with weak node information to represent specific cancer information.From these functional features,we extract distribution features of pan-cancer data,pan-cancer TOPSIS features of functional features using the ideal solution method,and SetExpan features of pan-cancer data from the gene functional features,a method to rank pan-cancer data based on the average inverse rank.These features represent the common message of pan-cancer.Finally,we use the lightGBM classification algorithm for gene prediction.Experimental results show that our method outperforms existing methods in terms of the area under the check precision-recall curve(AUPRC)and demonstrates better performance across different PPI networks.This indicates our framework’s effectiveness in predicting potential cancer genes,offering valuable insights for the diagnosis and treatment of tumors.展开更多
BACKGROUND The pyruvate dehydrogenase E1 subunitβ(PDHB)gene which regulates energy metabolism is located in mitochondria.However,few studies have elucidated the role and mechanism of PDHB in different cancers.AIM To ...BACKGROUND The pyruvate dehydrogenase E1 subunitβ(PDHB)gene which regulates energy metabolism is located in mitochondria.However,few studies have elucidated the role and mechanism of PDHB in different cancers.AIM To comprehensive pan-cancer analysis of PDHB was performed based on bioinformatics approaches to explore its tumor diagnostic and prognostic value and tumor immune relevance in cancer.In vitro experiments were performed to examine the biological regulation of PDHB in liver cancer.METHODS Pan-cancer data related to PDHB were obtained from the Cancer Genome Atlas(TCGA)database.Analysis of the gene expression profiles of PDHB was based on TCGA and Genotype Tissue Expression Dataset databases.Cox regression analysis and Kaplan-Meier methods were used to assess the correlation between PDHB expression and survival prognosis in cancer patients.The correlation between PDHB and receiver operating characteristic diagnostic curve,clinicopathological staging,somatic mutation,tumor mutation burden(TMB),microsatellite instability(MSI),DNA methylation,and drug susceptibility in pan-cancer was also analyzed.Various algorithms were used to analyze the correlation between PDHB and immune cell infiltration and tumor chemotaxis environment,as well as the co-expression analysis of PDHB and immune checkpoint(ICP)genes.The expression and functional phenotype of PDHB in single tumor cells were studied by single-cell sequencing,and the functional enrichment analysis of PDHB-related genes was performed.The study also validated the level of mRNA or protein expression of PDHB in several cancers.Finally,in vitro experiments verified the regulatory effect of PDHB on the proliferation,migration,and invasion of liver cancer.RESULTS PDHB was significantly and differently expressed in most cancers.PDHB was significantly associated with prognosis in patients with a wide range of cancers,including kidney renal clear cell carcinoma,kidney renal papillary cell carcinoma,breast invasive carcinoma,and brain lower grade glioma.In some cancers,展开更多
Objective: DNA damage response(DDR) deficiency has emerged as a prominent determinant of tumor immunogenicity. This study aimed to construct a DDR-related immune activation(DRIA) signature and evaluate the predictive ...Objective: DNA damage response(DDR) deficiency has emerged as a prominent determinant of tumor immunogenicity. This study aimed to construct a DDR-related immune activation(DRIA) signature and evaluate the predictive accuracy of the DRIA signature for response to immune checkpoint inhibitor(ICI) therapy in gastrointestinal(GI) cancer.Methods: A DRIA signature was established based on two previously reported DNA damage immune response assays. Clinical and gene expression data from two published GI cancer cohorts were used to assess and validate the association between the DRIA score and response to ICI therapy. The predictive accuracy of the DRIA score was validated based on one ICI-treated melanoma and three pan-cancer published cohorts.Results: The DRIA signature includes three genes(CXCL10, IDO1, and IFI44L). In the discovery cancer cohort, DRIA-high patients with gastric cancer achieved a higher response rate to ICI therapy than DRIA-low patients(81.8% vs. 8.8%;P < 0.001), and the predictive accuracy of the DRIA score [area under the receiver operating characteristic curve(AUC) = 0.845] was superior to the predictive accuracy of PD-L1 expression, tumor mutational burden, microsatellite instability, and Epstein–Barr virus status. The validation cohort demonstrated that the DRIA score identified responders with microsatellite-stable colorectal and pancreatic adenocarcinoma who received dual PD-1 and CTLA-4 blockade with radiation therapy. Furthermore, the predictive performance of the DRIA score was shown to be robust through an extended validation in melanoma, urothelial cancer, and pan-cancer.Conclusions: The DRIA signature has superior and robust predictive accuracy for the efficacy of ICI therapy in GI cancer and pancancer, indicating that the DRIA signature may serve as a powerful biomarker for guiding ICI therapy decisions.展开更多
Mechanics shape cell and tissue plasticity and maintain their homeostasis.In cancers,mechanical signals regulate cancer hallmarks via mechanotransduction pathways,such as proliferation,metastasis and metabolic reprogr...Mechanics shape cell and tissue plasticity and maintain their homeostasis.In cancers,mechanical signals regulate cancer hallmarks via mechanotransduction pathways,such as proliferation,metastasis and metabolic reprogramming.However,comprehensive characterization of mechanotransduction pathway genes and their clinical relevance across different cancer types remains untouched.Herein,we systematically portrayed the alterations of mechanotransduction pathway genes across 31 cancer types using The Cancer Genome Atlas(TCGA)databases.All the cancer types could be categorized into 6 subtypes based upon the transcriptional pattern of mechanics pathway genes.Each subtype has its own unique molecular expression pattern,mutation landscapes,immune infiltrates,and patient clinical outcome.We further found that the responses of two subtypes of cancers,one with the optimal outcome and the other with the worst prognosis,to a classical mechanotherapeutic agent(Fasudil,RhoA/ROCK inhibitor)were totally different,indicating that our cancer stratification system based upon mechanotransduction pathway genes could inform clinical responses of patients to mechanotherapeutic agents.Collectively,our study provides a novel pan-cancer landscape of the mechanotransduction pathways and underscores its potential clinical significance in the prediction of clinical prognosis and therapeutic responses to mechanotherapy among cancer patients.展开更多
MYBL2(MYB proto-oncogene like 2)is an emerging prognostic marker for malignant tumors,and its potential role in osteosarcoma and its relationship with immune infiltration in pan-cancer is yet to be elucidated.We const...MYBL2(MYB proto-oncogene like 2)is an emerging prognostic marker for malignant tumors,and its potential role in osteosarcoma and its relationship with immune infiltration in pan-cancer is yet to be elucidated.We constructed a transcription factor activity profile of os-teosarcoma using the single-cell regulatory network inference algorithm based on single-cell RNA sequencing data obtained from the Gene Expression Omnibus.Subsequently,we calcu-lated the extent of MYBL2 activation in malignant proliferative osteoblasts.We also explored the association between MYBL2 and chemotherapy resistance in osteosarcoma.Furthermore,we systematically correlated MYBL2 with immunological signatures in the tumor microenviron-ment in pan-cancer,including immune cell infiltration,immune checkpoints,and tumor immu-notherapy prognosis.Finally,we developed and validated a risk score(MRGS),derived an osteosarcoma risk score nomogram based on MRGS,and tested its ability to predict prognosis.MYBL2 and gene enrichment analyses in osteosarcoma and pan-cancer revealed that MYBL2 was positively correlated with cell proliferation and tumor immune pathways.MYBL2 expres-sion positively correlated with SLC19A1 in pan-cancer and osteosarcoma cell lines.Pan-cancer immune infiltration analysis revealed that MYBL2 was correlated with myeloid-derived sup-pressor cells,Th2 cell infiltration,CD276,RELT gene expression,and tumor mutation burden.展开更多
The incre asing interest in RNA modifications has signifcantly advanced epigenomic and epitranscriptomic technologies.This study focuses on the immuno oncological impact of ALYREF in human cancer through a pan-cancer ...The incre asing interest in RNA modifications has signifcantly advanced epigenomic and epitranscriptomic technologies.This study focuses on the immuno oncological impact of ALYREF in human cancer through a pan-cancer analysis,enhancing understanding of this gene's role in cancer.We observed differential ALYREF expression between tumor and normal samples,correl ating strongly with prognosis in various cancers,particularly kidney renal papillary cell carcinoma(KIRP)and liver hepatocellular carcinoma(LIHC).ALYREF showed a negative correlation with most tumor-infitrating cells in lung squamous cell carcinoma(LUSC)and lymphoid neoplasm difuse large B-cell lymphoma(DLBC),while positive correlations were noted in IIHC,kidney chromophobe(KICH),mesothelioma(MESO),KIRP,pheochromocytoma and paraganglioma(PARD),and glioma(GBMLGG).Aditionally,ALYREF expression was closely associated with tumor heterogeneity,stemness indices,and a high mutation rate in TP53 across these cancers.In conclusion,ALYREF may serve as an oncogenic biomarker in numerous cancers,meriting further research attention.展开更多
The long non-coding RNA,Negative Regulator of Antiviral Response(NRAV)has been identified as a participant in both respiratory virus replication and immune checkpoints,however,its involvement in pan-cancer immune regu...The long non-coding RNA,Negative Regulator of Antiviral Response(NRAV)has been identified as a participant in both respiratory virus replication and immune checkpoints,however,its involvement in pan-cancer immune regulation and prognosis,particularly those of hepatocellular carcinoma(HCC),remains unclear.To address this knowledge gap,we analyzed expression profiles obtained from The Cancer Genome Atlas(TCGA)database,comparing normal and malignant tumor tissues.We found that NRAV expression is significantly upregulated in tumor tissues compared to adjacent nontumor tissues.Kaplan-Meier(K-M)analysis revealed the prognostic power of NRAV,wherein overexpression was significantly linked to reduced overall survival in a diverse range of tumor patients.Furthermore,noteworthy associations were observed between NRAV,immune checkpoints,immune cell infiltration,genes related to autophagy,epithelial-mesenchymal transition(EMT),pyroptosis,tumor mutational burden(TMB),and microsatellite instability(MSI)across different cancer types,including HCC.Moreover,NRAV upregulation expression was associated with multiple pathological stages by clinical observations.Furthermore,our investigation revealed a substantial elevation in the expression of NRAV in both HCC tumor tissues and cells compared to normal tissues and cells.The inhibition of NRAV resulted in the inhibition of cell proliferation,migration,and invasion in HCC cells,while also influencing the expression of CD274(PD-L1)and CD44,along with various biomarkers associated with EMT,autophagy,and pyroptosis.The aforementioned results propose NRAV as a promising prognostic biomarker for HCC.展开更多
目的核糖体蛋白L5(Ribosomal protein L5,RPL5)是核糖体蛋白家族成员。然而,RPL5在肿瘤发生、进展和免疫治疗中的作用尚未完全阐明。方法通过多种数据库分析RPL5在泛癌中的表达,及其与肿瘤患者的预后、免疫细胞浸润、免疫调节基因、肿...目的核糖体蛋白L5(Ribosomal protein L5,RPL5)是核糖体蛋白家族成员。然而,RPL5在肿瘤发生、进展和免疫治疗中的作用尚未完全阐明。方法通过多种数据库分析RPL5在泛癌中的表达,及其与肿瘤患者的预后、免疫细胞浸润、免疫调节基因、肿瘤突变负荷(tumor mutational burden,TMB)及微卫星不稳定性(microsatellite instability,MSI)的相关性。结果与正常组织相比,RPL5在结肠癌、多形性胶质细胞瘤、肾透明细胞癌、肺腺癌、肺鳞癌、肝细胞肝癌中mRNA表达和蛋白质水平均升高,且RPL5是肾上腺皮质癌、肾乳头状细胞癌和肝细胞肝癌的预后危险因素。在某些癌症中,RPL5表达与免疫细胞浸润、免疫调节基因、TMB及MSI呈负相关。结论RPL5可作为癌症的预后生物标志物和潜在的免疫治疗靶点。展开更多
Background:Protein lactylation is a new way for the“metabolic waste”lactic acid to perform novel functions.Nevertheless,our understanding of the contribution of protein lactylation to both tumor progression and ther...Background:Protein lactylation is a new way for the“metabolic waste”lactic acid to perform novel functions.Nevertheless,our understanding of the contribution of protein lactylation to both tumor progression and therapeutic interventions remains imited.The construction of a scoring system for lactylation to predict the prognosis of pancancer patients and to evaluate the tumor immune microenvironment(TIME)would improve our understanding of the clinical significance of lactylation.Methods:Consensus clustering analysis of lactylation-related genes was used to cluster 177 pancreatic adenocarcinoma(PAAD)patients.Subsequently,a scoring system was developed using the least absolute shrinkage and selection operator(LASSO)regression.Internal validation and external validation were both conducted to assess and confirm the predictive accuracy of the scoring system.Finally,leucine rich repeat containing 1(LRRC1),a newly discovered lactylation-related gene,was analyzed in PAAD in vitro.Results:Utilizing the profiles of 332 lactylation-related genes,a total of 177 patients with PAAD were segregated into two distinct groups.LacCluster^(high) patients had a poorer prognosis than LacCluster^(low) patients.Through the differential analysis between the LacCluster^(high) and LacCluster^(low) groups,we identified additional genes associated with lactylation.These genes were then integrated to construct the LacCluster-enhanced system,which enabled more accurate prognosis prediction for patients with PAAD.Then,a lactylation index containing three genes(LacI-3)was constructed using LASSO regression.This was done to enhance the usability of the LacCluster-enhanced system in the clinic.Compared to those in the LacI-3^(high) subgroup,patients in the LacI-3^(low) subgroup exhibited increased expression of immune checkpoint-related genes,more immune cell infiltration,lower tumor mutation burdens,and better prognoses,indicating a“hot tumor”phenotype.Moreover,knocking down the expression of LRRC1,the hub gene in the LacI-3 scoring syste展开更多
基金This study was funded by The National Key R&D Program of China(2017YFC1308702,2017YFC1311000,2018YFC1312100)the Beijing Municipal Science&Technology Commission(Z181100006218032,Z181100001918002)+1 种基金the CAMS Initiative for Innovative Medicine(2017-I2M-1-005,2017-I2M-2-003,2019-I2M-2-002)Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(2017PT32001,2017PT32017).
文摘Background:Cancer cells reprogram metabolism for proliferation.Phosphoglycerate kinase 1(PGK1),as a glycolytic enzyme and newly identified protein kinase,coordinates glycolysis and mitochondrial metabolism.However,the clini-cal significance of PGK1 expression and function in cancer progression is unclear.Here,we investigated the relation-ship between the progression and prognosis of multiple cancer types and PGK1 expression and its function in the mitochondrial metabolism regulation.Methods:We performed pan-cancer analyses of PGK1 mRNA level and DNA methylation in 11,908 tumor tissues and 1582 paired normal tissues across 34 cancer types in The Cancer Genome Atlas datasets.Using specific antibodies against PGK1 S203 and PDHK1 T338 phosphorylation,we performed immunohistochemistry with tissue microarray assay in additional 818 cancer cases with 619 paired normal tissues from five cancer types.Results:The PGK1 mRNA level was significantly elevated with hypomethylation in promotor regions and associated with advanced TNM stage in 15 and four cancer types,respectively.In breast carcinoma,elevated PGK1 mRNA level and promoter hypomethylation were associated with poor prognosis.Positively correlated PGK1 S203 and PDHK1 T338 phosphorylation levels were significantly associated with short overall survival(OS)in cancers of the breast,liver,lung,stomach,and esophagus and with advanced TNM stage in breast and esophageal cancers.PGK1 pS203 and PDHK1 pT338 were also independent predictors of short OS in liver,lung,and stomach cancer.Conclusions:The elevated expression,promoter hypomethylation,and phosphorylation of PGK1 and PDHK1 were related with disease progression and short OS in diverse types of cancer.PGK1 and PDHK1 phosphorylation may be potential prognostic biomarkers.
文摘目的探究肝癌患者的差异基因表达量与预后的相关性,以及差异基因在多种癌症的调控作用,并寻找潜在的治疗靶点以及对应中药,为临床中药的使用、中医药组方及加减用药提供依据。方法从TCGA数据库下载肿瘤患者的转录组数据以及相应临床数据,使用R语言的edgeR包分析得出差异表达基因,并筛选、分析关键基因在泛癌的表达量及共表达情况;进一步筛选得到核心基因,研究其在泛癌中具体肿瘤的表达情况,以及肝癌临床相关性分析,并将核心基因提交至TIMER、THPA数据库,研究免疫细胞相关性和病理学情况;最后通过Coremine数据库查找核心基因对应中药,使用TCMSP、BATMAN-TCM数据库查找中药有效成分,利用Cytoscape软件制作药物-核心基因网络图,并进行京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。结果共筛选出10个关键基因,选取其中5个核心基因CCNB1、TOP2A、CCNA2、CDK1、CDC20,进行后续分析得出其与肝癌的预后生存呈负相关,与肝癌的免疫细胞呈正相关,并得到基因过表达病理学图片。其对应中药为丹参、枳实、枳壳、人参叶、人参芦、甘草、人参、蜂蜜。KEGG富集分析显示中药除调控核心基因外仍通过多靶点起作用。结论通过生物信息学技术分析得到肝癌核心基因及相关信号通路与治疗靶点,并得到调控中药名称及其有效成分。为治疗肝癌以及其他癌症的中药复方研发提供思路。
基金Tianjin Health Technology Project(Grant no.2022QN106).
文摘Background:Doublecortin(DCX),a microtubule-associated protein,is best known for its critical role in neuronal migration during neural development,where it stabilizes microtubules and guides neurons to their proper positions.Recently,DCX has been implicated in various cancer processes,suggesting it may influence tumor progression and the tumor microenvironment.Emerging evidence indicates that DCX can modulate cell migration,invasion,and interaction with immune cells,making it a potential player in oncogenesis.However,the role of DCX across different cancer types and its potential as a prognostic biomarker remain underexplored,necessitating a comprehensive analysis.Methods:We utilized The Cancer Genome Atlas to extract data on DCX expression in tumor and adjacent normal tissues across diverse cancer types.Differential expression analysis was conducted using differential expression sequencing 2.Survival analysis was performed with Kaplan-Meier estimates and Cox proportional hazards models.Correlations between DCX expression and tumor mutational burden,microsatellite instability,and immune infiltration were examined using Spearman’s correlation.Results:DCX showed variable expression across cancer types,with significant overexpression in certain tumors such as liver and lung cancer and downexpression in others like breast cancer.High DCX expression was correlated with poor prognosis in adrenocortical carcinoma but with better outcomes in low-grade glioma.Additionally,DCX expression was significantly associated with various immune markers and chemokines,suggesting a role in modulating the immune microenvironment.Conclusion:Our findings highlight the complex role of DCX in cancer,underlining its potential as a prognostic marker and its involvement in immune-related pathways.Targeting DCX could represent a novel approach to modulating tumor behavior and enhancing immune response in cancer therapy.
基金National Natural Science Foundation of China,Grant/Award Numbers:61902215,61902216,61972226。
文摘The identification of tumor driver genes facilitates accurate cancer diagnosis and treatment,playing a key role in precision oncology,along with gene signaling,regulation,and their interaction with protein complexes.To tackle the challenge of distinguishing driver genes from a large number of genomic data,we construct a feature extraction framework for discovering pan-cancer driver genes based on multi-omics data(mutations,gene expression,copy number variants,and DNA methylation)combined with protein–protein interaction(PPI)networks.Using a network propagation algorithm,we mine functional information among nodes in the PPI network,focusing on genes with weak node information to represent specific cancer information.From these functional features,we extract distribution features of pan-cancer data,pan-cancer TOPSIS features of functional features using the ideal solution method,and SetExpan features of pan-cancer data from the gene functional features,a method to rank pan-cancer data based on the average inverse rank.These features represent the common message of pan-cancer.Finally,we use the lightGBM classification algorithm for gene prediction.Experimental results show that our method outperforms existing methods in terms of the area under the check precision-recall curve(AUPRC)and demonstrates better performance across different PPI networks.This indicates our framework’s effectiveness in predicting potential cancer genes,offering valuable insights for the diagnosis and treatment of tumors.
基金Supported by The 2021 Central-Guided Local Science and Technology Development FundLanzhou COVID-19 Prevention and Control Technology Research Project,No.2020-XG-1Gansu Province Outstanding Graduate Student"Innovation Star"Project,No.2022CXZX-748,No.2022CXZX-746.
文摘BACKGROUND The pyruvate dehydrogenase E1 subunitβ(PDHB)gene which regulates energy metabolism is located in mitochondria.However,few studies have elucidated the role and mechanism of PDHB in different cancers.AIM To comprehensive pan-cancer analysis of PDHB was performed based on bioinformatics approaches to explore its tumor diagnostic and prognostic value and tumor immune relevance in cancer.In vitro experiments were performed to examine the biological regulation of PDHB in liver cancer.METHODS Pan-cancer data related to PDHB were obtained from the Cancer Genome Atlas(TCGA)database.Analysis of the gene expression profiles of PDHB was based on TCGA and Genotype Tissue Expression Dataset databases.Cox regression analysis and Kaplan-Meier methods were used to assess the correlation between PDHB expression and survival prognosis in cancer patients.The correlation between PDHB and receiver operating characteristic diagnostic curve,clinicopathological staging,somatic mutation,tumor mutation burden(TMB),microsatellite instability(MSI),DNA methylation,and drug susceptibility in pan-cancer was also analyzed.Various algorithms were used to analyze the correlation between PDHB and immune cell infiltration and tumor chemotaxis environment,as well as the co-expression analysis of PDHB and immune checkpoint(ICP)genes.The expression and functional phenotype of PDHB in single tumor cells were studied by single-cell sequencing,and the functional enrichment analysis of PDHB-related genes was performed.The study also validated the level of mRNA or protein expression of PDHB in several cancers.Finally,in vitro experiments verified the regulatory effect of PDHB on the proliferation,migration,and invasion of liver cancer.RESULTS PDHB was significantly and differently expressed in most cancers.PDHB was significantly associated with prognosis in patients with a wide range of cancers,including kidney renal clear cell carcinoma,kidney renal papillary cell carcinoma,breast invasive carcinoma,and brain lower grade glioma.In some cancers,
基金supported by the National Natural Science Foundation of China (Grant Nos. 81972761 and 82202837)the National Key R&D Program of China (Grant Nos. 2016YFC1303200 and 2022YFC2505100)。
文摘Objective: DNA damage response(DDR) deficiency has emerged as a prominent determinant of tumor immunogenicity. This study aimed to construct a DDR-related immune activation(DRIA) signature and evaluate the predictive accuracy of the DRIA signature for response to immune checkpoint inhibitor(ICI) therapy in gastrointestinal(GI) cancer.Methods: A DRIA signature was established based on two previously reported DNA damage immune response assays. Clinical and gene expression data from two published GI cancer cohorts were used to assess and validate the association between the DRIA score and response to ICI therapy. The predictive accuracy of the DRIA score was validated based on one ICI-treated melanoma and three pan-cancer published cohorts.Results: The DRIA signature includes three genes(CXCL10, IDO1, and IFI44L). In the discovery cancer cohort, DRIA-high patients with gastric cancer achieved a higher response rate to ICI therapy than DRIA-low patients(81.8% vs. 8.8%;P < 0.001), and the predictive accuracy of the DRIA score [area under the receiver operating characteristic curve(AUC) = 0.845] was superior to the predictive accuracy of PD-L1 expression, tumor mutational burden, microsatellite instability, and Epstein–Barr virus status. The validation cohort demonstrated that the DRIA score identified responders with microsatellite-stable colorectal and pancreatic adenocarcinoma who received dual PD-1 and CTLA-4 blockade with radiation therapy. Furthermore, the predictive performance of the DRIA score was shown to be robust through an extended validation in melanoma, urothelial cancer, and pan-cancer.Conclusions: The DRIA signature has superior and robust predictive accuracy for the efficacy of ICI therapy in GI cancer and pancancer, indicating that the DRIA signature may serve as a powerful biomarker for guiding ICI therapy decisions.
基金supported by the National Natural Science Foundation of China(82325039,82273255,81822034,81821002)the National Key Research and Development Program of China(2022YFA1106600)+3 种基金Sichuan Science-Technology Project(2022ZYD0054,2019YFH0144)Direct Scientific Research Grants from West China Second Hospital,Sichuan University(KS021,K1907)Young Investigator Award in Glioblastoma from ASCO Conquer Cancer Foundation(ASCO2018JS)RSNA Research Resident Grant(RR2166).
文摘Mechanics shape cell and tissue plasticity and maintain their homeostasis.In cancers,mechanical signals regulate cancer hallmarks via mechanotransduction pathways,such as proliferation,metastasis and metabolic reprogramming.However,comprehensive characterization of mechanotransduction pathway genes and their clinical relevance across different cancer types remains untouched.Herein,we systematically portrayed the alterations of mechanotransduction pathway genes across 31 cancer types using The Cancer Genome Atlas(TCGA)databases.All the cancer types could be categorized into 6 subtypes based upon the transcriptional pattern of mechanics pathway genes.Each subtype has its own unique molecular expression pattern,mutation landscapes,immune infiltrates,and patient clinical outcome.We further found that the responses of two subtypes of cancers,one with the optimal outcome and the other with the worst prognosis,to a classical mechanotherapeutic agent(Fasudil,RhoA/ROCK inhibitor)were totally different,indicating that our cancer stratification system based upon mechanotransduction pathway genes could inform clinical responses of patients to mechanotherapeutic agents.Collectively,our study provides a novel pan-cancer landscape of the mechanotransduction pathways and underscores its potential clinical significance in the prediction of clinical prognosis and therapeutic responses to mechanotherapy among cancer patients.
基金supported by Changsha Natural Science Foundation,Hunan,China(No.kq2202382)the Natural Science Foundation of Hunan,China(No.2022JJ40802,2022JJ30928)the Project funded by China Postdoctoral Science Foundation(No.2022M713525).
文摘MYBL2(MYB proto-oncogene like 2)is an emerging prognostic marker for malignant tumors,and its potential role in osteosarcoma and its relationship with immune infiltration in pan-cancer is yet to be elucidated.We constructed a transcription factor activity profile of os-teosarcoma using the single-cell regulatory network inference algorithm based on single-cell RNA sequencing data obtained from the Gene Expression Omnibus.Subsequently,we calcu-lated the extent of MYBL2 activation in malignant proliferative osteoblasts.We also explored the association between MYBL2 and chemotherapy resistance in osteosarcoma.Furthermore,we systematically correlated MYBL2 with immunological signatures in the tumor microenviron-ment in pan-cancer,including immune cell infiltration,immune checkpoints,and tumor immu-notherapy prognosis.Finally,we developed and validated a risk score(MRGS),derived an osteosarcoma risk score nomogram based on MRGS,and tested its ability to predict prognosis.MYBL2 and gene enrichment analyses in osteosarcoma and pan-cancer revealed that MYBL2 was positively correlated with cell proliferation and tumor immune pathways.MYBL2 expres-sion positively correlated with SLC19A1 in pan-cancer and osteosarcoma cell lines.Pan-cancer immune infiltration analysis revealed that MYBL2 was correlated with myeloid-derived sup-pressor cells,Th2 cell infiltration,CD276,RELT gene expression,and tumor mutation burden.
基金the Chinese Scholarship Council(Grant No.202206240086)the National Natural Science Foundation of China(Grant No.82170432)programs from Science and Technology Department of Sichuan Province(Grant No.2020YFSY0024).
文摘The incre asing interest in RNA modifications has signifcantly advanced epigenomic and epitranscriptomic technologies.This study focuses on the immuno oncological impact of ALYREF in human cancer through a pan-cancer analysis,enhancing understanding of this gene's role in cancer.We observed differential ALYREF expression between tumor and normal samples,correl ating strongly with prognosis in various cancers,particularly kidney renal papillary cell carcinoma(KIRP)and liver hepatocellular carcinoma(LIHC).ALYREF showed a negative correlation with most tumor-infitrating cells in lung squamous cell carcinoma(LUSC)and lymphoid neoplasm difuse large B-cell lymphoma(DLBC),while positive correlations were noted in IIHC,kidney chromophobe(KICH),mesothelioma(MESO),KIRP,pheochromocytoma and paraganglioma(PARD),and glioma(GBMLGG).Aditionally,ALYREF expression was closely associated with tumor heterogeneity,stemness indices,and a high mutation rate in TP53 across these cancers.In conclusion,ALYREF may serve as an oncogenic biomarker in numerous cancers,meriting further research attention.
基金funded by China National Natural Youth Science Foundation(81802078)Zhejiang Province Public Welfare Research Foundation(GF20H200021)Zhejiang Provincial Department of Medicine and Health Foundation(2019RC315).
文摘The long non-coding RNA,Negative Regulator of Antiviral Response(NRAV)has been identified as a participant in both respiratory virus replication and immune checkpoints,however,its involvement in pan-cancer immune regulation and prognosis,particularly those of hepatocellular carcinoma(HCC),remains unclear.To address this knowledge gap,we analyzed expression profiles obtained from The Cancer Genome Atlas(TCGA)database,comparing normal and malignant tumor tissues.We found that NRAV expression is significantly upregulated in tumor tissues compared to adjacent nontumor tissues.Kaplan-Meier(K-M)analysis revealed the prognostic power of NRAV,wherein overexpression was significantly linked to reduced overall survival in a diverse range of tumor patients.Furthermore,noteworthy associations were observed between NRAV,immune checkpoints,immune cell infiltration,genes related to autophagy,epithelial-mesenchymal transition(EMT),pyroptosis,tumor mutational burden(TMB),and microsatellite instability(MSI)across different cancer types,including HCC.Moreover,NRAV upregulation expression was associated with multiple pathological stages by clinical observations.Furthermore,our investigation revealed a substantial elevation in the expression of NRAV in both HCC tumor tissues and cells compared to normal tissues and cells.The inhibition of NRAV resulted in the inhibition of cell proliferation,migration,and invasion in HCC cells,while also influencing the expression of CD274(PD-L1)and CD44,along with various biomarkers associated with EMT,autophagy,and pyroptosis.The aforementioned results propose NRAV as a promising prognostic biomarker for HCC.
基金supported by the National Key Research and Development Program of China(Grant Number 2022YFA1205003)Major Research Projects of the National Natural Science Foundation of China(Grant Number 92059204)+1 种基金General Research Projects of the National Natural Science Foundation of China(Grant Number 82273419)Major Projects of Technological Innovation and Application Development Foundation in Chongqing(Grant Number CSTB2022TIAD-STX0012).
文摘Background:Protein lactylation is a new way for the“metabolic waste”lactic acid to perform novel functions.Nevertheless,our understanding of the contribution of protein lactylation to both tumor progression and therapeutic interventions remains imited.The construction of a scoring system for lactylation to predict the prognosis of pancancer patients and to evaluate the tumor immune microenvironment(TIME)would improve our understanding of the clinical significance of lactylation.Methods:Consensus clustering analysis of lactylation-related genes was used to cluster 177 pancreatic adenocarcinoma(PAAD)patients.Subsequently,a scoring system was developed using the least absolute shrinkage and selection operator(LASSO)regression.Internal validation and external validation were both conducted to assess and confirm the predictive accuracy of the scoring system.Finally,leucine rich repeat containing 1(LRRC1),a newly discovered lactylation-related gene,was analyzed in PAAD in vitro.Results:Utilizing the profiles of 332 lactylation-related genes,a total of 177 patients with PAAD were segregated into two distinct groups.LacCluster^(high) patients had a poorer prognosis than LacCluster^(low) patients.Through the differential analysis between the LacCluster^(high) and LacCluster^(low) groups,we identified additional genes associated with lactylation.These genes were then integrated to construct the LacCluster-enhanced system,which enabled more accurate prognosis prediction for patients with PAAD.Then,a lactylation index containing three genes(LacI-3)was constructed using LASSO regression.This was done to enhance the usability of the LacCluster-enhanced system in the clinic.Compared to those in the LacI-3^(high) subgroup,patients in the LacI-3^(low) subgroup exhibited increased expression of immune checkpoint-related genes,more immune cell infiltration,lower tumor mutation burdens,and better prognoses,indicating a“hot tumor”phenotype.Moreover,knocking down the expression of LRRC1,the hub gene in the LacI-3 scoring syste
