scholarly journals Clinical Significance and Immunologic Landscape of a Five-IL(R)-Based Signature in Lung Adenocarcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Tao Fan ◽  
Shize Pan ◽  
Shuo Yang ◽  
Bo Hao ◽  
Lin Zhang ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Prognostic Value ◽  
Proportional Hazards ◽  
Immune Cell ◽  
Gene Expression Omnibus ◽  
Cox Proportional Hazards ◽  
The Cancer Genome Atlas ◽  
Immune Checkpoints ◽  
Interleukin Receptors ◽  
Public Datasets

Interleukins (ILs) and interleukin receptors (ILRs) play important role in the antitumor immune response. However, the expression signature and clinical characteristics of the IL(R) family in lung adenocarcinoma (LUAD) remains unclear. The main purpose of this study was to explore the expression profile of IL(R) family genes and construct an IL(R)-based prognostic signature in LUAD. Five public datasets of 1,312 patients with LUAD were enrolled in this study. Samples from The Cancer Genome Atlas (TCGA) were used as the training set, and samples from the other four cohorts extracted from Gene Expression Omnibus (GEO) database were used as the validation set. Additionally, the profile of IL(R) family signature was explored, and the association between this signature and immunotherapy response was also analyzed. Meanwhile, the prognostic value was compared between this IL(R)-based signature and different immunotherapy markers. A signature based on five identified IL(R)s (IL7R, IL5RA, IL20RB, IL11, IL22RA1) was constructed using the TCGA dataset through univariate/multivariable Cox proportional hazards regression and least absolute shrinkage and selection operator (LASSO) Cox analysis. These cases with LUAD were stratified into high- and low-risk group according to the risk score. This signature showed a strong prognostic ability, which was verified by the five independent cohorts and clinical subtypes. The IL(R)-based models presented unique characteristics in terms of immune cell infiltration and immune inflammation profile in tumor microenvironment (TME). Biological pathway analysis confirmed that high-risk patients showed significant T- and B-cell immunosuppression and rapid tumor cell proliferation. More importantly, we researched the relationship between this IL(R)-based signature and immune checkpoints, tumor mutation burden (TMB), tumor purity and ploidy, and tumor immune dysfunction and exclusion (TIDE) score, which confirmed that this signature gave the best prognostic value. We first provided a robust prognostic IL(R)-based signature, which had the potential as a predictor for immunotherapy response to realize individualized treatment of LUAD.

scholarly journals DNASE1L3 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma Based on Data Mining

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianlin Chen ◽  
Junping Ding ◽  
Wenjie Huang ◽  
Lin Sun ◽  
Jinping Chen ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Prognostic Biomarker ◽  
Function Analysis ◽  
Mrna Level ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Immune Checkpoints ◽  
Diagnostic Efficiency ◽  
Protein Levels ◽  
Normal Tissues

Previous researches have highlighted that low-expressing deoxyribonuclease1-like 3 (DNASE1L3) may play a role as a potential prognostic biomarker in several cancers. However, the diagnosis and prognosis roles of DNASE1L3 gene in lung adenocarcinoma (LUAD) remain largely unknown. This research aimed to explore the diagnosis value, prognostic value, and potential oncogenic roles of DNASE1L3 in LUAD. We performed bioinformatics analysis on LUAD datasets downloaded from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus), and jointly analyzed with various online databases. We found that both the mRNA and protein levels of DNASE1L3 in patients with LUAD were noticeably lower than that in normal tissues. Low DNASE1L3 expression was significantly associated with higher pathological stages, T stages, and poor prognosis in LUAD cohorts. Multivariate analysis revealed that DNASE1L3 was an independent factor affecting overall survival (HR = 0.680, p = 0.027). Moreover, decreased DNASE1L3 showed strong diagnostic efficiency for LUAD. Results indicated that the mRNA level of DNASE1L3 was positively correlated with the infiltration of various immune cells, immune checkpoints in LUAD, especially with some m6A methylation regulators. In addition, enrichment function analysis revealed that the co-expressed genes may participate in the process of intercellular signal transduction and transmission. GSEA indicated that DNASE1L3 was positively related to G protein-coupled receptor ligand biding (NES = 1.738; P adjust = 0.044; FDR = 0.033) and G alpha (i) signaling events (NES = 1.635; P adjust = 0.044; FDR = 0.033). Our results demonstrated that decreased DNASE1L3 may serve as a novel diagnostic and prognostic biomarker associating with immune infiltrates in lung adenocarcinoma.

scholarly journals Functional Signatures in Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis of Sex-Based Differences in Transcriptomic Studies

Cancers ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 143
Author(s):  
Irene Pérez-Díez ◽  
Marta R. Hidalgo ◽  
Pablo Malmierca-Merlo ◽  
Zoraida Andreu ◽  
Sergio Romera-Giner ◽  
...  
Keyword(s):  
Immune Response ◽  
Lung Adenocarcinoma ◽  
Molecular Mechanisms ◽  
Purinergic Signaling ◽  
Meta Analysis ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Nucleic Acid Metabolism ◽  
New Biomarkers ◽  
Public Datasets

While studies have established the existence of differences in the epidemiological and clinical patterns of lung adenocarcinoma between male and female patients, we know relatively little regarding the molecular mechanisms underlying such sex-based differences. In this study, we explore said differences through a meta-analysis of transcriptomic data. We performed a meta-analysis of the functional profiling of nine public datasets that included 1366 samples from Gene Expression Omnibus and The Cancer Genome Atlas databases. Meta-analysis results from data merged, normalized, and corrected for batch effect show an enrichment for Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways related to the immune response, nucleic acid metabolism, and purinergic signaling. We discovered the overrepresentation of terms associated with the immune response, particularly with the acute inflammatory response, and purinergic signaling in female lung adenocarcinoma patients, which could influence reported clinical differences. Further evaluations of the identified differential biological processes and pathways could lead to the discovery of new biomarkers and therapeutic targets. Our findings also emphasize the relevance of sex-specific analyses in biomedicine, which represents a crucial aspect influencing biological variability in disease.

scholarly journals Functional signatures in non-small-cell lung cancer: a systematic review and meta-analysis of sex-based differences in transcriptomic studies

2020 ◽  
Author(s):  
Irene Pérez-Díez ◽  
Marta R. Hidalgo ◽  
Pablo Malmierca-Merlo ◽  
Zoraida Andreu ◽  
Rosa Farràs ◽  
...  
Keyword(s):  
Immune Response ◽  
Lung Adenocarcinoma ◽  
Molecular Mechanisms ◽  
Purinergic Signaling ◽  
Meta Analysis ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Nucleic Acid Metabolism ◽  
New Biomarkers ◽  
Public Datasets

AbstractWhile studies have established the existence of differences in the epidemiological and clinical patterns of lung adenocarcinoma between male and female patients, we know relatively little regarding the molecular mechanisms underlying such sex-based differences. In this study, we explore said differences through a meta-analysis of transcriptomic data. We performed a meta-analysis of the functional profiling of nine public datasets that included 1,366 samples from Gene Expression Omnibus and The Cancer Genome Atlas databases. Meta-analysis results from data merged, normalized, and corrected for batch effect show an enrichment for Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways related to the immune response, nucleic acid metabolism, and purinergic signaling. We discovered the overrepresentation of terms associated with the immune response, particularly with the acute inflammatory response, and purinergic signaling in female lung adenocarcinoma patients, which could influence reported clinical differences. Further evaluations of the identified differential biological processes and pathways could lead to the discovery of new biomarkers and therapeutic targets. Our findings also emphasize the relevance of sex-specific analyses in biomedicine, which represents a crucial aspect influencing biological variability in disease.Abstract Figure

scholarly journals Identification of Immune-Related lncRNA Signature to Predict Prognosis and Immunotherapeutic Efficiency in Bladder Cancer

2021 ◽  
Vol 10 ◽  
Author(s):  
Lianghao Zhang ◽  
Longqing Li ◽  
Yonghao Zhan ◽  
Jiange Wang ◽  
Zhaowei Zhu ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Prognostic Value ◽  
Proportional Hazards ◽  
External Validation ◽  
Microarray Dataset ◽  
Risk Groups ◽  
Cox Proportional Hazards ◽  
The Cancer Genome Atlas ◽  
Cytotoxic Lymphocytes ◽  
Validation Set

PurposeIdentify immune-related lncRNA (IRL) signature related to the prognosis and immunotherapeutic efficiency for bladder cancer (BLCA) patients.MethodsA total of 397 samples, which contained RNA-seq and clinical information from The Cancer Genome Atlas (TCGA) database, were used for the following study. Then the Lasso penalized Cox proportional hazards regression model was used to construct prognostic signature. According to the optimal cut-off value determined by time-dependent ROC curve, low and high-risk groups were set up. One immunotherapy microarray dataset as validation set was used to verify the ability of predicting immunotherapy efficacy. Furthermore, more evaluation between two risk groups related clinical factors were conducted. Finally, external validation of IRL-signature was conducted in Zhengzhou cohort.ResultFour IRLs (HCP5, IPO5P1, LINC00942, and LINC01356) with significant prognostic value (P<0.05) were distinguished. This signature can accurately predict the overall survival of BLCA patients and was verified in the immunotherapy validation set. IRL-signatures can be used as independent prognostic risk factor in various clinical subgroups. According to the results of GSVA and MCP algorithm, we found that IRL-signature risk score is strikingly negative correlated with tumor microenvironment (TME) CD8+T cells and Cytotoxic lymphocytes infiltration, indicating that the better prognosis and immunotherapy might be caused partly by these. Then, the results from the TIDE analysis revealed that IRL could efficiently predict the response of immunotherapy in BLCA. External validation had similar results with TCGA-BLCA cohort.ConclusionsThe novel IRL-signature has a significant prognostic value for BLCA patients might facilitate predicting the efficacy of immunotherapy.

scholarly journals Expression and Prognostic Significance of NPC1L1 in Colorectal Cancer: A Retrospective Cohort Study

2021 ◽  
Author(s):  
Ryuk Jun Kwon ◽  
Soo Min Son ◽  
Eun Ju Park ◽  
Sang Yeoup Lee ◽  
Jungin Choi ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Proportional Hazards ◽  
Prognostic Significance ◽  
Gene Expression Omnibus ◽  
Cox Proportional Hazards ◽  
The Cancer Genome Atlas ◽  
Rank Test ◽  
Chi Square ◽  
Independent Prognostic Marker ◽  
Niemann Pick

Abstract Background: Colorectal cancer (CRC) is a malignant tumor of the large intestine. Studies have shown that the development and prognosis of CRC are associated with altered lipid metabolism. Niemann-Pick C1-Like 1 (NPC1L1), the target of ezetimibe, plays an essential role in the absorption of intestinal cholesterol. However, the role of altered NPC1L1 expression in the development and prognosis of CRC has not yet been determined.Methods: Datasets of patients with CRC were obtained from The Cancer Genome Atlas (TCGA) database. To compare the expression of NPC1L1 in normal and CRC tissues, datasets obtained from the GDAC platform were used. To support these results, we also analyzed other datasets from the Gene Expression Omnibus (GEO) database. Student’s t-test and chi-square test were used for the analyses. The log-rank test and multivariate Cox proportional hazards regression analysis were performed to determine whether NPC1L1 is a significant factor affecting the prognosis of CRC.Results: The mRNA expression of NPC1L1 was found to be upregulated in CRC, and was significantly associated with the N- and pathological stages, but not with the histological type, age, and sex. Moreover, an increase in NPC1L1 expression in CRC was associated with poorer survival, based on the Kaplan–Meier and multivariate regression analyses.Conclusions: High expression of NPC1L1 is associated with CRC development, pathological stage, and prognosis. The present study suggests that NPC1L1 represents a potential independent prognostic marker for CRC.

scholarly journals Identification of prognostic-associated genes in colorectal cancer based on genome-wide expression profiles

2020 ◽  
Author(s):  
Siyu Hou ◽  
Jinfeng Zhang ◽  
Yanbo Chen ◽  
Shipeng Ning ◽  
Guozheng Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Prognostic Value ◽  
Proportional Hazards ◽  
Kegg Pathway ◽  
Expression Profiles ◽  
Severe Disease ◽  
Gene Expression Omnibus ◽  
Cox Proportional Hazards ◽  
Data Set ◽  
Go Terms

Abstract Background: Colorectal cancer (CRC), a severe disease in the world. The dysregulation of genes plays a significant role in cancer. Method: In the present study, we first identified differentially expressed genes (DEGs) of CRC in the GSE71187 data set from the Gene Expression Omnibus (GEO) database. And through GO terminology and Gene and Genome (KEGG) pathway, the up-regulated DEG and down-regulated genes were enriched. Then, we selected hub genes and studied their related prognostic value through protein-protein interaction (PPI) network and integrated bioinformatics analysis. Finally, 7 genes with prognostic value were obtained by survival analysis and multivariate Cox proportional hazards regression models, as well as verified in the Oncomine and UALCAN database.Result: A total of 3,588 DEGs were identified with 1,474 upregulated and 3,114 downregulated. Then, GO terms and Genes and Genomes (KEGG) pathway analysis revealed that upregulated DEGs and down-regulated genes were mainly involved in important GO terms and KEGG pathway, for example, defense response to other organism, leukocyte differentiation and epidermis developmen. In the PP network analysis, 6 hub modules and 86 module genes were identified. In the end, 7 genes with prognostic value were obtained through survival and multi-factor analysis. They have significant differences in varying degrees at the level of DNA, mRNA and protein.Conclusion: The results of the study may provide novel insight into the genes and associated pathways involved in CRC, and aid the identifcation of novel therapeutic targets and prognostic marker of CRC.

scholarly journals Identification of a prognostic ferroptosis-related lncRNA signature in the tumor microenvironment of lung adenocarcinoma

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Yugang Guo ◽  
Zhongyu Qu ◽  
Dandan Li ◽  
Fanghui Bai ◽  
Juan Xing ◽  
...  
Keyword(s):  
High Risk ◽  
Lung Adenocarcinoma ◽  
Proportional Hazards ◽  
Risk Model ◽  
Principal Component ◽  
Cox Proportional Hazards ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Risk Scores ◽  
Poor Overall Survival

AbstractFerroptosis is closely linked to various cancers, including lung adenocarcinoma (LUAD); however, the factors involved in the regulation of ferroptosis-related genes are not well established. In this study, we identified and characterized ferroptosis-related long noncoding RNAs (lncRNAs) in LUAD. In particular, a coexpression network of ferroptosis-related mRNAs and lncRNAs from The Cancer Genome Atlas (TCGA) was constructed. Univariate and multivariate Cox proportional hazards analyses were performed to establish a prognostic ferroptosis-related lncRNA signature (FerRLSig). We obtained a prognostic risk model consisting of 10 ferroptosis-related lncRNAs: AL606489.1, AC106047.1, LINC02081, AC090559.1, AC026355.1, FAM83A-AS1, AL034397.3, AC092171.5, AC010980.2, and AC123595.1. High risk scores according to the FerRLSig were significantly associated with poor overall survival (hazard ratio (HR) = 1.412, 95% CI = 1.271–1.568; P < 0.001). Receiver operating characteristic (ROC) curves and a principal component analysis further supported the accuracy of the model. Next, a prognostic nomogram combining FerRLSig with clinical features was established and showed favorable predictive efficacy for survival risk stratification. In addition, gene set enrichment analysis (GSEA) revealed that FerRLSig is involved in many malignancy-associated immunoregulatory pathways. Based on the risk model, we found that the immune status and response to immunotherapy, chemotherapy, and targeted therapy differed significantly between the high-risk and low-risk groups. These results offer novel insights into the pathogenesis of LUAD, including the contribution of ferroptosis-related lncRNAs, and reveal a prognostic indicator with the potential to inform immunological research and treatment.

scholarly journals Identification and Validation of a Novel Immune-Related Four-lncRNA Signature for Lung Adenocarcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Jixin Wang ◽  
Xiangjun Yin ◽  
Yin-Qiang Zhang ◽  
Xuming Ji
Keyword(s):  
Gene Expression ◽  
Lung Adenocarcinoma ◽  
Immune Cell ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Lasso Regression ◽  
Kaplan Meier

Lung adenocarcinoma (LUAD) is a major subtype of lung cancer, the prognosis of patients with which is associated with both lncRNAs and cancer immunity. In this study, we collected gene expression data of 585 LUAD patients from The Cancer Genome Atlas (TCGA) database and 605 subjects from the Gene Expression Omnibus (GEO) database. LUAD patients were divided into high and low immune-cell-infiltrated groups according to the single sample gene set enrichment analysis (ssGSEA) algorithm to identify differentially expressed genes (DEGs). Based on the 49 immune-related DE lncRNAs, a four-lncRNA prognostic signature was constructed by applying least absolute shrinkage and selection operator (LASSO) regression, univariate Cox regression, and stepwise multivariate Cox regression in sequence. Kaplan–Meier curve, ROC analysis, and the testing GEO datasets verified the effectiveness of the signature in predicting overall survival (OS). Univariate Cox regression and multivariate Cox regression suggested that the signature was an independent prognostic factor. The correlation analysis revealed that the infiltration immune cell subtypes were related to these lncRNAs.

scholarly journals Systematical identifications of prognostic meaningful lung adenocarcinoma subtypes and the underlying mutational and expressional characters

2019 ◽  
Author(s):  
Zhenyang Lv ◽  
Ting Lei
Keyword(s):  
Lung Adenocarcinoma ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
The Cancer Genome Atlas ◽  
Consensus Clustering ◽  
Gene Expressions ◽  
Master Genes ◽  
Cancer Genome Atlas ◽  
Cancer Types ◽  
Key Pathways

Abstract Background Lung adenocarcinoma (LUAD) is one of the most common cancer types, threatening the human health around the world. However, the high heterogeneity and complexity of LUAD limit the benefits of targeted therapies. This study aimed to identify the key prognosis impacting genes and relevant subtypes for LUAD. Methods We recognized significant mutations and prognosis-relevant genes based on the omics data of 515 LUAD samples from The Cancer Genome Atlas. Mutation significance was estimated by MutSigCV. Prognosis analysis was based on the cox proportional hazards regression (Coxph) model. Specifically, the Coxph model was combined with a causal regulatory network to help reveal which genes play master roles among numerous prognosis impacting genes. Based on expressional profiles of the master genes, LUAD patients were clustered into different sub-types by a consensus clustering method and the importance of master genes were further evaluated by random forest. Results Significant mutations did not influence the prognosis directly. However, a collection of prognosis relevant genes were recognized, where 75 genes like GAPDH and GGA2 which are involved in mTOR signaling, lysosome or other key pathways are further identified as the master ones. Interestingly, the master gene expressions help separate LUAD patients into two sub-types displaying remarkable differences in expressional profiles, prognostic outcomes and genomic mutations in certain genes, like SMARCA4 and COL11A1. Meanwhile, the subtypes were re-discovered from two additional LUAD cohorts based on the top-10 important master genes. Conclusions This study can promote precision treatment of LUAD by providing a comprehensive description on the key prognosis-relevant genes and an alternative way to classify LUAD subtypes.

scholarly journals Integrated Profiling Identifies PLOD3 as a Potential Prognostic and Immunotherapy Relevant Biomarker in Colorectal Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Junhong Shi ◽  
Meiyu Bao ◽  
Weifeng Wang ◽  
Xuan Wu ◽  
Yueying Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
T Cells ◽  
Prognostic Value ◽  
Immune Cell ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Cancer Data ◽  
Potential Biomarker ◽  
Diagnostic And Prognostic Value

Procollagen-Lysine,2-Oxoglutarate 5-Dioxygenase 3 (PLOD3) is related to a variety of human diseases. However, its function in Colorectal cancer (CRC) remains uncertain. PLOD3 expression was analyzed using The Cancer Genome Atlas (TCGA) pan-cancer data. DAVID was used for enrichment analysis of PLOD3-related genes. The correlation between PLOD3 expression and immune cell infiltration was evaluated. Four expression profile datasets (GSE17536, GSE39582, GSE74602, and GSE113513) from Gene Expression Omnibus, and two proteomic datasets were used as validation cohorts for assessing the diagnostic and prognostic value of PLOD3 in CRC. What’s more, we performed immunohistochemistry (IHC) staining for PLOD3 in 160 paired CRC specimens and corresponding adjacent non-tumor tissues. PLOD3 was highly expressed in many tumors including CRC. PLOD3 was upregulated in advanced stage CRCs, and high PLOD3 expression was associated with poor survival. High PLOD3 expression was associated with low levels of B cells, CD4+ T cells, M1 macrophages, CD8+ T cells, and multiple immunerelated characteristics. In addition, the high PLOD3 expression group had a higher TIDE score and a lower tumor mutation burden and microsatellite instability, indicating that patients with high PLOD3 expression may be resistant to immunotherapy. Additional datasets and IHC analysis were used to validate the diagnostic and prognostic value of PLOD3 at the mRNA and protein levels in CRC. Patients with non-response to immunotherapy showed increased PLOD3 expression in an immunotherapy treated dataset. PLOD3 is a potential biomarker for CRC diagnosis and prognosis prediction. CRCs with high PLOD3 expression may be resistant to immune checkpoint therapy.

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