scholarly journals CD96 Correlates With Immune Infiltration and Impacts Patient Prognosis: A Pan-Cancer Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Wenrui Ye ◽  
Cong Luo ◽  
Fangkun Liu ◽  
Zhixiong Liu ◽  
Fenghua Chen
Keyword(s):  
T Cells ◽  
Nk Cells ◽  
Protective Factor ◽  
Immune Checkpoints ◽  
Lower Grade ◽  
Immune Infiltration ◽  
Potential Biomarker ◽  
Cancer Types ◽  
Patient Prognosis ◽  
Pan Cancer

BackgroundImmunotherapy has significantly improved patient outcomes, but encountered obstacles recently. CD96, a novel immune checkpoint expressed on T cells and natural killer (NK) cells, is essential for regulating immune functions. However, how CD96 correlating with immune infiltration and patient prognosis in pan-cancer remains unclear.MethodsHPA, TCGA, GEO, GTEx, Oncomine, TIMER2.0, PrognoScan, Linkedomics, Metascape, and GEPIA2 databases were used to analyze CD96 in cancers. Visualization of data was mostly achieved by R language, version 4.0.2.ResultsIn general, CD96 was differentially expressed between most cancer and adjacent normal tissues. CD96 significantly impacted the prognosis of diverse cancers. Especially, high CD96 expression was associated with poorer overall survival (OS) and disease-specific survival (DSS) in the TCGA lower grade glioma (LGG) cohort (OS, HR = 2.18, 95% CI = 1.79–2.66, P < 0.001). The opposite association was significantly observed in skin cutaneous melanoma (SKCM) cohort (OS, HR = 0.96, 95% CI = 0.94–0.98, P < 0.001). Notably, SKCM samples demonstrated the highest CD96 mutation frequency among all cancer types. Furthermore, in most cancers, CD96 expression level was significantly correlated with expression levels of recognized immune checkpoints and abundance of multiple immune infiltrates including CD8+ T cells, dendric cells (DCs), macrophages, monocytes, NK cells, neutrophils, regulatory T cells (Tregs), and follicular helper T cells (Tfh). CD96 was identified as a risk factor, protective factor, and irrelevant variable in LGG, SKCM and adrenocortical carcinoma (ACC), respectively. CD96 related genes were involved in negative regulation of leukocyte in LGG, however, involved in multiple positive immune processes in SKCM. Furthermore, CD96 was significantly associated with particular immune marker subsets. Importantly, it strongly correlated with markers of type 1 helper T cell (Th1) in SKCM, but not in LGG or ACC either.ConclusionsCD96 participates in diverse immune responses, governs immune cell infiltration, and impacts malignant properties of various cancer types, thus standing as a potential biomarker for determining patient prognosis and immune infiltration in multiple cancers, especially in glioma and melanoma.

scholarly journals An Integrative Pan-Cancer Analysis of PBK in Human Tumors

2021 ◽  
Vol 8 ◽  
Author(s):  
Huantao Wen ◽  
Zitao Chen ◽  
Min Li ◽  
Qiongzhen Huang ◽  
Yuhao Deng ◽  
...  
Keyword(s):  
T Cells ◽  
Poor Prognosis ◽  
Mitogen Activated Protein Kinase ◽  
High Expression ◽  
Immune Checkpoints ◽  
Multiple Tumor ◽  
Immune Infiltration ◽  
Cancer Types ◽  
Pan Cancer

Background: PDZ binding kinase (PBK) is a serine/threonine kinase, which belongs to the mitogen-activated protein kinase kinase (MAPKK) family. It has been shown to be a critical gene in the regulation of mitosis and tumorigenesis, but the role of PBK in various cancers remains unclear. In this study, we systematically explored the prognostic and predictive value of PBK expression in 33 cancer types.Methods: Public databases including the cBioPortal database, GDSC database, GTEx database, CCLE database, and TCGA database were used to detect the PBK expression and its association with the prognosis, clinicopathologic stage, TMB, MSI, immune microenvironment, immune checkpoints, immune cell infiltration, enrichment pathways, and IC50 across pan-cancer. The statistical analyses and visualization were conducted using R software.Results: PBK expression is relatively high in most cancers compared to their normal counterparts, and this gene is barely expressed in normal tissues. High expression of PBK is significantly associated with poor prognosis and clinicopathologic stages I, II, and III in different cancers. Furthermore, PBK expression is strongly associated with TMB in 23 cancer types and associated with MSI in nine cancer types. Moreover, the correlation analysis of the microenvironment and immune cells indicated that PBK is negatively correlated with the immune infiltration levels but positively correlated with the infiltration levels of M0 and M1 macrophages, T cells CD4 memory activated, and T cells follicular helper. GSEA analysis revealed that the biological function or pathways relevant to the cell cycle and mitosis were frequently enriched at the level of high expression of PBK.Conclusion: These results revealed the oncogenic role of PBK, which is significantly upregulated in various cancers and indicated poor prognosis and immune infiltration in multiple cancers. It also suggested that PBK may serve as a biomarker in multiple tumor progress and patient survival.

scholarly journals Analysis of the Expression and Prognostic Value of MSH2 in Pan-Cancer Based on Bioinformatics

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wenli Qiu ◽  
Ke Ding ◽  
Lusheng Liao ◽  
Yongchang Ling ◽  
Xiaoqiong Luo ◽  
...  
Keyword(s):  
T Cells ◽  
Prognostic Value ◽  
Cox Regression ◽  
Cancer Susceptibility ◽  
Prognostic Significance ◽  
Housekeeping Gene ◽  
Significant Negative Correlation ◽  
Immune Infiltration ◽  
Potential Biomarker ◽  
Pan Cancer

Background. MutS homolog 2 (MSH2), with the function of identifying mismatches and participating in DNA repair, is the “housekeeping gene” in the mismatch repair (MMR) system. MSH2 deficiency has been reported to enhance cancer susceptibility for the association of hereditary nonpolyposis colorectal cancer. However, the expression and prognostic significance of MSH2 have not been studied from the perspective of pan-cancer. Methods. The GTEx database was used to analyze the expression of MSH2 in normal tissues. The TCGA database was used to analyze the differential expression of MSH2 in pan-cancers. The prognostic value of MSH2 in pan-cancer was assessed using Cox regression and Kaplan-Meier analysis. Spearman correlations were used to measure the relationship between the expression level of MSH2 in pan-cancer and the level of immune infiltration, tumor mutational burden (TMB), and microsatellite instability (MSI). Results. MSH2 is highly expressed in most type of cancers and significantly correlated with prognosis. In COAD, KIRC, LIHC, and SKCM, the expression of MSH2 was significantly positively correlated with the abundance of B cells, CD4+ T cells, CD8+ T cells, dendritic cells, macrophages, and neutrophils. In THCA, MSH2 expression correlated with CD8+T Cell showed a significant negative correlation. MSH2 had significantly negative correlations with stromal score and immune score in a variety of cancers and significantly correlated with TMB and MSI of a variety of tumors. Conclusions. MSH2 may play an important role in the occurrence, development, and immune infiltration of cancer. MSH2 can emerge as a potential biomarker for cancer diagnosis and prognosis.

scholarly journals A potential role for metastasis-associated in colon cancer 1 (MACC1) as a pan-cancer prognostic and immunological biomarker

2021 ◽  
Vol 18 (6) ◽  
pp. 8331-8353
Author(s):  
Ye Hu ◽  
◽  
Meiling Wang ◽  
Kainan Wang ◽  
Jiyue Gao ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cell Function ◽  
Immune Checkpoints ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Tumor Mutational Burden ◽  
Cancer Types ◽  
R Programming ◽  
The Relationship ◽  
Pan Cancer

<abstract> <sec><title>Background</title><p>Metastasis-Associated in Colon Cancer 1(<italic>MACC1</italic>) is a validated biomarker for metastasis and is linked to survival. Although extensive experimental evidence indicates an association between <italic>MACC1</italic> and diverse cancers, no pan-cancer analyses have yet been performed for this marker, and the role of <italic>MACC1</italic> in immunology remains unknown.</p> </sec> <sec><title>Material and Methods</title><p>In our study, we performed the analysis of <italic>MACC1</italic> expression and its influence on prognosis using multiple databases, including TIMER2, GEPIA2, Kaplan-Meier plotter. <italic>MACC1</italic> promoter methylation levels were evaluated using the UALCAN database. Based on the TCGA database, we explored the relationship between <italic>MACC1</italic> and tumor mutational burden (TMB), microsatellite instability (MSI), immune checkpoints using the R programming language. We evaluated the association between <italic>MACC1</italic> and immune infiltration via TIMER and UALCAN.</p> </sec> <sec><title>Results</title><p>Our results revealed that abnormal DNA methylation may be an important cause for the different expression of <italic>MACC1</italic> across cancer types. Meanwhile, we explored the potential oncogenic roles of <italic>MACC1</italic> and found significant prognostic value. <italic>MACC1</italic> may be related to T-cell function and the polarization of tumor-associated macrophages, especially in STAD and LGG. Its expression was associated with immune infiltration and was found to be closely related to immune checkpoint-associated genes, especially CD274 and SIGLEC15, indicating that <italic>MACC1</italic> may be a potential immune therapeutic target for several malignancies. Our paper reveals for the first time the relationship between <italic>MACC1</italic> and cancer immunology.</p> </sec> <sec><title>Conclusions</title><p><italic>MACC1</italic> might act as a predictor for the immune response in cancer patients, and could also represent a new potential immunotherapeutic target.</p> </sec> </abstract>

scholarly journals Integrative Analysis of DNA Methylation and Transcriptome Identifies a Predictive Epigenetic Signature Associated With Immune Infiltration in Gliomas

2021 ◽  
Vol 9 ◽  
Author(s):  
Jianlei Zhang ◽  
Jiang Yin ◽  
Liyun Luo ◽  
Danqing Huang ◽  
Dongfeng Zhai ◽  
...  
Keyword(s):  
Dna Methylation ◽  
T Cells ◽  
Cox Regression ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Predictive Ability ◽  
Risk Groups ◽  
Immune Checkpoints ◽  
Lower Grade ◽  
Immune Infiltration

Glioma is the most common primary brain tumor with poor prognosis and high mortality. The purpose of this study was to use the epigenetic signature to predict prognosis and evaluate the degree of immune infiltration in gliomas. We integrated gene expression profiles and DNA methylation data of lower-grade glioma and glioblastoma to explore epigenetic differences and associated differences in biological function. Cox regression and lasso analysis were used to develop an epigenetic signature based on eight DNA methylation sites to predict prognosis of glioma patients. Kaplan–Meier analysis showed that the overall survival time of high- and low-risk groups was significantly separated, and ROC analysis verified that the model had great predictive ability. In addition, we constructed a nomogram based on age, sex, 1p/19q status, glioma type, and risk score. The epigenetic signature was obviously associated with tumor purity, immune checkpoints, and tumor-immune infiltrating cells (CD8+ T cells, gamma delta T cells, M0 macrophages, M1 macrophages, M2 macrophages, activated NK cells, monocytes, and activated mast cells) and thus, it may find application as a guide for the evaluation of immune infiltration or in treatment decisions in immunotherapy.

scholarly journals NFE2L2 Is a Potential Prognostic Biomarker and Is Correlated with Immune Infiltration in Brain Lower Grade Glioma: A Pan-Cancer Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-26
Author(s):  
Qiang Ju ◽  
Xinmei Li ◽  
Heng Zhang ◽  
Songxia Yan ◽  
Ying Li ◽  
...  
Keyword(s):  
T Cells ◽  
Transcription Factor ◽  
Dna Methyltransferase ◽  
Prognostic Biomarker ◽  
Physiological Role ◽  
Adverse Outcomes ◽  
Lower Grade ◽  
Immune Infiltration ◽  
Lower Grade Glioma ◽  
Pan Cancer

Nuclear factor, erythroid 2 like 2 (NFE2L2, NRF2) is a transcription factor that regulates various antioxidant enzymes. It plays a vital physiological role in regulating oxidative stress and inflammatory response. However, the roles of NFE2L2 in human cancers are still unclear. Our study is aimed at analyzing the prognostic value of NFE2L2 in pan-cancer and at revealing the relationship between NFE2L2 expression and tumor immunity. The present study revealed that NFE2L2 was abnormally expressed and significantly correlated with mismatch repair (MMR) gene mutation levels and DNA methyltransferase expression in human pan-cancer. In particular, pan-cancer survival analysis indicated that NFE2L2 expression was associated with adverse outcomes—overall survival (OS), disease-specific survival (DSS), and progression-free interval (PFI)—in adrenocortical carcinoma (ACC), brain lower grade glioma (LGG), and pancreatic adenocarcinoma (PAAD) patients. A positive relationship was also found between NFE2L2 expression and immune infiltration, including B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cells, especially in breast invasive carcinoma (BRCA), colon adenocarcinoma (COAD), kidney renal clear cell carcinoma (KIRC), LGG, liver hepatocellular carcinoma (LIHC), and prostate adenocarcinoma (PRAD). Additionally, NFE2L2 expression was positively correlated with the immune score and the expression of immune checkpoint markers in LGG. In conclusion, these results indicate that transcription factor NFE2L2 is a potential prognostic biomarker and is correlated with immune infiltration in LGG.

scholarly journals Characterization of the Survival Influential Genes in Carcinogenesis

2021 ◽  
Vol 22 (9) ◽  
pp. 4384
Author(s):  
Divya Sahu ◽  
Yu-Lin Chang ◽  
Yin-Chen Lin ◽  
Chen-Ching Lin
Keyword(s):  
Cell Cycle ◽  
Cox Regression ◽  
Monte Carlo Algorithm ◽  
Functional Modules ◽  
Protective Genes ◽  
Cancer Types ◽  
Underlying Mechanisms ◽  
Patient Prognosis ◽  
Pan Cancer

The genes influencing cancer patient mortality have been studied by survival analysis for many years. However, most studies utilized them only to support their findings associated with patient prognosis: their roles in carcinogenesis have not yet been revealed. Herein, we applied an in silico approach, integrating the Cox regression model with effect size estimated by the Monte Carlo algorithm, to screen survival-influential genes in more than 6000 tumor samples across 16 cancer types. We observed that the survival-influential genes had cancer-dependent properties. Moreover, the functional modules formed by the harmful genes were consistently associated with cell cycle in 12 out of the 16 cancer types and pan-cancer, showing that dysregulation of the cell cycle could harm patient prognosis in cancer. The functional modules formed by the protective genes are more diverse in cancers; the most prevalent functions are relevant for immune response, implying that patients with different cancer types might develop different mechanisms against carcinogenesis. We also identified a harmful set of 10 genes, with potential as prognostic biomarkers in pan-cancer. Briefly, our results demonstrated that the survival-influential genes could reveal underlying mechanisms in carcinogenesis and might provide clues for developing therapeutic targets for cancers.

scholarly journals High Expression of PRMT6 Associated With Prognosis and Immune Infiltration in Glioma

2020 ◽  
Author(s):  
Yi Yang ◽  
Zhenshuang Wang ◽  
Shengrong Long ◽  
Jinhai Huang ◽  
Chengran Xu ◽  
...  
Keyword(s):  
Enrichment Analysis ◽  
Clinical Work ◽  
High Expression ◽  
Clinical Indicators ◽  
Immune Infiltration ◽  
Tumor Tissues ◽  
Potential Biomarker ◽  
Patient Prognosis ◽  
The Relationship

Abstract Background: Gliomas are characterised by easy invasion of surrounding tissues, high mortality and poor prognosis. Moreover, with the increase of grade, the prognosis of glioma is increasingly poor and not optimistic. Therefore, biological markers for glioma are needed in clinical work, which can be utilized to detect and evaluate the situation and prognosis of glioma patients. Many studies have found that the protein arginine methyltransferase 6 (PRMT6) expression is elevated in various tumors and is associated with patient prognosis. However, the role of PRMT6 in glioma has not been reported or analyzed. Methods: In this study, we used a variety of tumor related databases to analyze the mechanism of PRMT6 in tumors, especially gliomas, from the perspective of bioinformatics, and carried out relevant experimental verification with tumor tissues extracted from patients during surgery. In addition, we analyzed the relationship between PRMT6 expression and immune infiltration and immune-related cells, and discussed the possible mechanisms. We also discussed the role of PRMT6 expression in glioma from the perspectives of mutation, clinical indicators, enrichment analysis, and immunohistochemical results. Results: PRMT6 is significantly differentially expressed in a variety of tumors and is associated with survival and prognosis. Especially in gliomas, the expression of PRMT6 gradually increased with the increase of grade. In addition, PRMT6 can be used as an independent prognostic risk factor in the nomogram and has been verified in a variety of databases. Conclusions: Our results indicate that high expression of PRMT6 is a potential biomarker for predicting glioma prognosis and progression.

scholarly journals Identification of Hub Genes and Immune Infiltration in Psoriasis by Bioinformatics Method

2021 ◽  
Vol 12 ◽  
Author(s):  
Wenxing Su ◽  
Yuqian Wei ◽  
Biao Huang ◽  
Jiang Ji
Keyword(s):  
T Cells ◽  
B Cells ◽  
Nk Cells ◽  
Signaling Pathway ◽  
Control Sample ◽  
Gene Expression Omnibus ◽  
Ppi Network ◽  
Hub Genes ◽  
Immune Infiltration ◽  
Chemokine Signaling

BackgroundPsoriasis is a chronic, prolonged, and recurrent skin inflammatory disease. However, the pathogenesis of psoriasis is not completely clear, thus we aimed to explore potential molecular basis of it.MethodsTwo datasets were downloaded from the Gene Expression Omnibus database. After identifying the differentially expressed genes of psoriasis skin lesion samples and healthy controls, three kinds of analyses, namely functional annotation, protein-protein interaction (PPI) network, and immune infiltration analyses, were performed.ResultsA total of 152 up-regulated genes and 38 down-regulated genes were selected for subsequent analyses. Evaluation of the PPI network identified the most important module containing 13 hub genes. Gene ontology analysis showed that the hub genes have a significant enrichment effect on positive regulation of cell migration, defense response to the other organism and epithelial cell differentiation. KEGG signaling pathway analysis showed that the hub genes were significantly enriched in chemokine signaling, Toll-like receptor signaling pathway, and IL-17 signaling pathway. Compared with the normal control sample, naive B cells, CD8+ T cells, activated memory CD4+ T cells, follicular helper T cells, gamma delta T cells, resting NK cells, monocytes, M0 macrophages, M1 macrophages, activated dendritic cells and neutrophils infiltrated more, while memory B cells, naive CD4+ T cells, regulatory T cells (Tregs), activated NK cells, resting mast cells, and eosinophils infiltrated less.ConclusionTo conclude, the hub genes and pathways identified from psoriasis lesions and normal controls along with the immune infiltration profile may provide new insights into the study of psoriasis.

ERO1L shapes the immune-suppressive tumor microenvironment and is a potential biomarker for immunotherapy response in lung adenocarcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21006-e21006
Author(s):  
Lihui Liu ◽  
Chao Wang ◽  
Sini Li ◽  
Pei Xue ◽  
Hua Bai ◽  
...  
Keyword(s):  
T Cells ◽  
Endoplasmic Reticulum ◽  
Lung Adenocarcinoma ◽  
Signaling Pathways ◽  
Survival Data ◽  
Checkpoint Inhibitors ◽  
Q Value ◽  
Immune Infiltration ◽  
Potential Biomarker

e21006 Background: Recently, immune checkpoint inhibitors have led to a paradigm shift in treatment for patients with lung adenocarcinoma (LUAD), however, the identification of biomarkers to enable patient selection is urgently required. The endoplasmic reticulum oxidoreductin-1-like ( ERO1L) gene encodes an endoplasmic reticulum luminal localized glycoprotein known to associated with hypoxia. The role of ERO1L in the crafting of the tumor immune microenvironment (TIME) is yet to be elucidated. Methods: In this study, raw datasets (including RNA-seq, methylation, sgRNA-seq, phenotype, and survival data) were obtained from public databases. This data was analyzed and used to explore the biological landscape of ERO1L in immune infiltration. Expression data was used to characterize samples. Using gene signatures and cell quantification, stromal and immune infiltration was determined. These findings were used to predict sensitivity to immunotherapy. Results: We identified ERO1L to be an oncogene, the mRNA expression of which is significantly higher in LUAD compared with normal tissues. High expression levels of ERO1L were associated with poor prognoses in terms of overall survival (HR: 1.52, 95% CI: 1.27-1.82) and progression-free survival (HR: 1.93, 95% CI: 1.47-2.53). This overexpression was found to be a result of hypomethylation of the ERO1L promoter. Overexpression of ERO1L resulted in an immune-suppressive TIME via the recruitment of immune-suppressive cells including regulatory T cells (Spearman’s ρ = 0.199, p < 0.001) cancer associated fibroblasts (ρ = 0.286, p < 0.001), and myeloid-derived suppressor cells (ρ = 0.423, p < 0.001), and also indicated the polarization of M1-type to M2-type macrophage. On the contrary, overexpression of ERO1L was closely associated with deficiency of immune-active cells including B cells (ρ = -0.250, p < 0.001), CD8+ T cells (ρ = -0.299, p < 0.001), and NK cells (ρ = -0.258, p < 0.001). Using the Tumor Immune Dysfunction and Exclusion (TIDE) framework, it was identified that patients in the ERO1Lhigh group possessed a significantly lower response rate (31.0%) to immunotherapy compared with the ERO1Llow group (86.0%). Mechanistic analysis revealed that overexpression of ERO1L was associated with the upregulation of JAK-STAT (NES = 1.65, FDR q-value = 0.0) and NF-κB (NES = 2.03, FDR q-value = 0.0) signaling pathways, thus affecting chemokine and cytokine patterns in the TIME. Conclusions: Our study provides clear insight into the potential role of ERO1L in tumor immunology. Overexpression of ERO1L was indicative of a hypoxia-induced immune-suppressive TIME, which was shown to confer resistance to immunotherapy in patients with LUAD. ERO1L was shown to mediate cytokine and chemokine patterns in the TIME, which were resulted from activations of JAK-STAT and NF-κB signaling pathways.

scholarly journals Integrated Dissection of lncRNA-Perturbated Triplets Reveals Novel Prognostic Signatures Across Cancer Types

2020 ◽  
Vol 21 (17) ◽  
pp. 6087
Author(s):  
Yunzhen Wei ◽  
Limeng Zhou ◽  
Yingzhang Huang ◽  
Dianjing Guo
Keyword(s):  
Cancer Biology ◽  
Noncoding Rna ◽  
The Cancer Genome Atlas ◽  
Dynamic Changes ◽  
Computational Framework ◽  
Potential Biomarker ◽  
Cancer Genome Atlas ◽  
Cancer Types ◽  
Tcga Dataset ◽  
Pan Cancer

Long noncoding RNA (lncRNA)/microRNA(miRNA)/mRNA triplets contribute to cancer biology. However, identifying significative triplets remains a major challenge for cancer research. The dynamic changes among factors of the triplets have been less understood. Here, by integrating target information and expression datasets, we proposed a novel computational framework to identify the triplets termed as “lncRNA-perturbated triplets”. We applied the framework to five cancer datasets in The Cancer Genome Atlas (TCGA) project and identified 109 triplets. We showed that the paired miRNAs and mRNAs were widely perturbated by lncRNAs in different cancer types. LncRNA perturbators and lncRNA-perturbated mRNAs showed significantly higher evolutionary conservation than other lncRNAs and mRNAs. Importantly, the lncRNA-perturbated triplets exhibited high cancer specificity. The pan-cancer perturbator OIP5-AS1 had higher expression level than that of the cancer-specific perturbators. These lncRNA perturbators were significantly enriched in known cancer-related pathways. Furthermore, among the 25 lncRNA in the 109 triplets, lncRNA SNHG7 was identified as a stable potential biomarker in lung adenocarcinoma (LUAD) by combining the TCGA dataset and two independent GEO datasets. Results from cell transfection also indicated that overexpression of lncRNA SNHG7 and TUG1 enhanced the expression of the corresponding mRNA PNMA2 and CDC7 in LUAD. Our study provides a systematic dissection of lncRNA-perturbated triplets and facilitates our understanding of the molecular roles of lncRNAs in cancers.

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