Dataset Information

CXCL10 is a Tumor Microenvironment and Immune Infiltration Related Prognostic Biomarker in Pancreatic Adenocarcinoma.

ABSTRACT: Pancreatic adenocarcinoma (PAAD) is the 10th most common cancer worldwide and the outcomes for patients with the disease remain extremely poor. Precision biomarkers are urgently needed to increase the efficiency of early diagnosis and to improve the prognosis of patients. The tumor microenvironment (TME) and tumor immune infiltration are thought to impact the occurrence, progression, and prognosis of PAAD. Novel biomarkers excavated originating from the TME and immune infiltration may be effective in predicting the prognosis of PAAD patients. In the current study, the ESTIMATE and CIBERSORT algorithms were applied to estimate the division of immune and stromal components and the proportion of tumor-infiltrating immune cells in 182 PAAD cases downloaded from The Cancer Genome Atlas database. Intersection analyses of the Protein-Protein Interaction networks and Cox regression analysis identified the chemokine (CXC-motif) ligand 10 (CXCL10) as a predictive biomarker. We verified that CXCL10 in the TME negatively correlates with prognosis in PAAD and positively correlates with tumor cell differentiation. GSE62452 from the GEO database and cumulative survival analysis were performed to validate CXCL10 expression as an independent prognostic indicator. We also found that memory B cells, regulatory T cells, and macrophages M0 and M1 were correlated with the expression of CXCL10 indicating that expression of CXCL10 influenced the immune activity of the TME. Our data suggest that CXCL10 is beneficial as a prognostic indicator in PAAD patients and highlights the potential for immune targeted therapy in the treatment of PAAD.

SUBMITTER: Huang H

PROVIDER: S-EPMC7930611 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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CXCL10 is a Tumor Microenvironment and Immune Infiltration Related Prognostic Biomarker in Pancreatic Adenocarcinoma.

Huang Huimin H Zhou Wangxiao W Chen Renpin R Xiang Bingfeng B Zhou Shipeng S Lan Linhua L

Frontiers in molecular biosciences 20210218

Pancreatic adenocarcinoma (PAAD) is the 10th most common cancer worldwide and the outcomes for patients with the disease remain extremely poor. Precision biomarkers are urgently needed to increase the efficiency of early diagnosis and to improve the prognosis of patients. The tumor microenvironment (TME) and tumor immune infiltration are thought to impact the occurrence, progression, and prognosis of PAAD. Novel biomarkers excavated originating from the TME and immune infiltration may be effecti ...[more]

PMID: 33681290

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Project description:BackgroundTUBA1C is a microtubule component that is involved in a variety of cancers. Our main objective was to investigate TUBA1C expression, its prognostic value, its potential biological functions, and its impact on the immune system of patients with lung adenocarcinoma (LUAD).MethodsThe Cancer Genome Atlas (TCGA), Gene Expression Profiling Interactive Analysis (GEPIA) and Immunohistochemistry Analysis were used to analyze TUBA1C expression, its clinicopathology, overall survival (OS), and disease-free survival (DFS) in LUAD patients. We also determined the correlation between TUBA1C and tumor-infiltrating immune cells (TIICs) by using CIBERSORT and GEPIA databases. To determine the expression of TUBA1C in LUAD, we analyzed a collection of immune infiltration levels and cumulative survival of LUAD tissues in TIMER database. By using UALCAN, STRING, and GeneMANIA databases, we investigated the protein-coding genes related to TUBA1C and its co-expression genes in LUAD tissues. Gene set enrichment analysis (GSEA) was performed by using the TCGA dataset.ResultsThe mRNA and the protein expression of TUBA1C were found to be up-regulated in LUAD tissues. The univariate analysis indicated that an increased expression of TUBA1C was significantly correlated to the following parameters: age, stage, and lymph node metastasis. An over-expression of TUBA1C was associated with a poor prognosis of LUAD. In TIMER and CIBERSORT databases, we found that TUBA1C is correlated with 13 types of TIICs: activated B cell, activated CD4 T cell, central memory CD4 T cell, effector memory CD8 T cell, eosinophils, immature B cell, gamma-delta T cell, immature dendritic cell, mast cell, memory B cell, natural killer T cell, regulatory T cell, and type 2T helper cell. By performing GSEA, we found that TUBA1C is closely correlated to cell cycle, p53 signaling pathway, glycolysis, and gluconeogenesis.ConclusionsOur findings indicate that TUBA1C is associated with TIICs in tumor microenvironment. Therefore, it serves as a novel prognostic biomarker and a target for future treatment methods of LUAD.

Project description:BackgroundPancreatic cancer is one of the most commonly diagnosed and lethal malignancies worldwide and has few good biomarkers and therapeutic targets. GABRP is the π subunit of the gamma-aminobutyric acid (GABA) A receptor, which is expressed in a number of non-neuronal tissues. GABRP is significantly upregulated in pancreatic cancer, but its biological and immunological role as well as its clinical diagnostic and prognostic value in pancreatic cancer is still incompletely known.MethodsIn this study, pancreatic adenocarcinoma (PAAD) cohorts from TCGA and GEO datasets were used to compare GABRP mRNA levels in cancerous and normal tissues and protein expression was evaluated using immunohistochemistry. The Kaplan-Meier plotter and GEPIA2 database were used to analyze the correlation between GABRP expression, overall survival, and disease-free survival in pancreatic cancer patients. Gene set enrichment analysis (GSEA) was performed with the Linked Omics database to explore the molecular mechanisms of GABRP in pancreatic cancer. And the correlation between GABRP expression and immune infiltration was explored using the TIMER database, CIBERSORT database and ESTIMATE algorithm.ResultsGABRP mRNA was significantly overexpressed in TCGA-PAAD cohorts (P<0.0001) and enhanced GABRP expression predicted poorer overall survival according to Kaplan-Meier plotter database (P=0.0024) and GEPIA2 (P=0.038). Hypomethylation of promoter (P<0.01) and the regulation of hsa-miR-3655 may contribute to the overexpression of GABRP in pancreatic cancer. GSEA analysis revealed that GABRP played an important role in the immune response. GABRP expression was also correlated with immune infiltration and immune cell markers. Higher GABRP expression was significantly associated with greater infiltration of immune cells and stromal cells into pancreatic cancer microenvironments as well as higher expression of six important immune check point genes including PDCD1 (P<0.05), CD274 (P<0.05), CTLA4 (P<0.01), PDCD1LG2 (P<0.01), TIGHT (P<0.01) and TIM3 (P<0.01).ConclusionsGABRP is a potential prognostic biomarker and is correlated with immune infiltration and tumor microenvironment in pancreatic cancer. This suggests that GABRP may serve as a potential prognostic biomarker and therapeutic target in pancreatic cancer as well as a possible regulator of tumor microenvironment affecting the efficacy of immunotherapy. Further studies are needed to elucidate the molecular mechanism of the immunoregulatory role of GABRP.

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Dataset Information

CXCL10 is a Tumor Microenvironment and Immune Infiltration Related Prognostic Biomarker in Pancreatic Adenocarcinoma.

Publications

CXCL10 is a Tumor Microenvironment and Immune Infiltration Related Prognostic Biomarker in Pancreatic Adenocarcinoma.

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