Javascript must be enabled to continue!
Loss Of MHC Class I Related Gene Expression Inhibited The M1 Macrophages Infiltration In Tumor Microenvironment Of Ovarian Serous Cystadenocarcinoma
View through CrossRef
Abstract
Background: Previous studies have shown that tumor immune microenvironment was an important factor affecting the progression and prognosis of ovarian cancer. The purpose of this study is to explore the prognosis related immune cell types in the immune microenvironment of ovarian cancer by using the ovarian cancer database, and to study the potential factors affecting specific immune cell infiltration. Method: Based on TCGA ovarian cancer database, CIBERSORT method was used to preliminarily analyze the infiltration ratios of 22 kinds of immune cells around ovarian cancer, and to further evaluate the correlation between infiltration cells and prognosis based on the survival data. In addition, this study will calculate the tumor infiltrating M1 Macrophages abundance (IM1A) to verify the correlation between M1 Macrophages load and the prognosis of ovarian cancer; and to explore the potential pathway of M1 Macrophages infiltration by Pearson correlation analysis. Results: The results showed that the infiltration proportion of follicular helper T cells and M1 Macrophases was negatively correlated with the poor prognosis of ovarian serous cystadenocarcinoma, while activated Mast cells was opposite. In addition, the overall survival of ovarian cancer patients with high IM1A was significantly longer than that of patients with low IM1A; the enrichment of GSEA KEGG pathway showed that multiple pathways were correlated with M1 Macrophages infiltration (including 67 positive and 1 negative pathways), and the highest correlation was found in antigen processing and presentation pathway. The expression level of some MHC class I related genes (potential target genes of immunotherapy) in antigen processing and presentation pathway was positively correlated with the infiltration ratios of M1 Macrophages in microenvironment, including HLA A, HLA B, HLA C, HLA E, HLA F, B2M, TAP1, TAP2, and TAPBP. Conclusion: In general, the decreased infiltration of M1 Macrophages indicates poor prognosis of ovarian serous cystadenocarcinoma, and the expression loss of MHC class I pathway gene might be the key factor for the inhibition of infiltration of M1 Macrophages. Altering these key genes expression could improve the infiltration of M1 Macrophages and the overall prognosis of ovarian serous cystadenocarcinoma.
Springer Science and Business Media LLC
Title: Loss Of MHC Class I Related Gene Expression Inhibited The M1 Macrophages Infiltration In Tumor Microenvironment Of Ovarian Serous Cystadenocarcinoma
Description:
Abstract
Background: Previous studies have shown that tumor immune microenvironment was an important factor affecting the progression and prognosis of ovarian cancer.
The purpose of this study is to explore the prognosis related immune cell types in the immune microenvironment of ovarian cancer by using the ovarian cancer database, and to study the potential factors affecting specific immune cell infiltration.
Method: Based on TCGA ovarian cancer database, CIBERSORT method was used to preliminarily analyze the infiltration ratios of 22 kinds of immune cells around ovarian cancer, and to further evaluate the correlation between infiltration cells and prognosis based on the survival data.
In addition, this study will calculate the tumor infiltrating M1 Macrophages abundance (IM1A) to verify the correlation between M1 Macrophages load and the prognosis of ovarian cancer; and to explore the potential pathway of M1 Macrophages infiltration by Pearson correlation analysis.
Results: The results showed that the infiltration proportion of follicular helper T cells and M1 Macrophases was negatively correlated with the poor prognosis of ovarian serous cystadenocarcinoma, while activated Mast cells was opposite.
In addition, the overall survival of ovarian cancer patients with high IM1A was significantly longer than that of patients with low IM1A; the enrichment of GSEA KEGG pathway showed that multiple pathways were correlated with M1 Macrophages infiltration (including 67 positive and 1 negative pathways), and the highest correlation was found in antigen processing and presentation pathway.
The expression level of some MHC class I related genes (potential target genes of immunotherapy) in antigen processing and presentation pathway was positively correlated with the infiltration ratios of M1 Macrophages in microenvironment, including HLA A, HLA B, HLA C, HLA E, HLA F, B2M, TAP1, TAP2, and TAPBP.
Conclusion: In general, the decreased infiltration of M1 Macrophages indicates poor prognosis of ovarian serous cystadenocarcinoma, and the expression loss of MHC class I pathway gene might be the key factor for the inhibition of infiltration of M1 Macrophages.
Altering these key genes expression could improve the infiltration of M1 Macrophages and the overall prognosis of ovarian serous cystadenocarcinoma.
Related Results
Abstract PS12-04: HDACi combined with anthracycline elicits interactions between MHC-II+ triple-negative breast cancer and CD69+CD4+Trm orchestrating synergistic immunotherapy
Abstract PS12-04: HDACi combined with anthracycline elicits interactions between MHC-II+ triple-negative breast cancer and CD69+CD4+Trm orchestrating synergistic immunotherapy
Abstract
Background: Early TNBC (eTNBC) lacks biomarkers for predicting the benefits of immune checkpoint blockade (ICB). Therefore, identifying indicators for the h...
Abstract 875: PAX8 protein detection in serum of patients with serous ovarian cancer
Abstract 875: PAX8 protein detection in serum of patients with serous ovarian cancer
Abstract
Introduction: The paired-box (PAX) genes encode a family of transcription factors (TFs) with critical roles in the formation of tissues and organs during em...
Abstract 3007: Down-regulation of HOXC6 in serous ovarian cancer.
Abstract 3007: Down-regulation of HOXC6 in serous ovarian cancer.
Abstract
Objective: The Homeobox (HOX) family of genes consists of 39 genes encoding transcription factors important to morphogenesis and cell differentiation. Usual...
Fibroblast growth factor receptor 1 gene (FGFR1) expression in serous ovarian tumors
Fibroblast growth factor receptor 1 gene (FGFR1) expression in serous ovarian tumors
ABSTRACT
Fibroblast growth factor receptor 1 gene (FGFR1) expression in serous ovarian tumors
Aim: The aim of this study was to evaluate the ovarian serous surface epithelial tumor...
Abstract IA31: Molecular epidemiology of ovarian cancer
Abstract IA31: Molecular epidemiology of ovarian cancer
Abstract
Epithelial ovarian cancer (EOC) accounts for 5% of all cancer deaths and is the fifth leading cause of cancer death in women in the United States. While the...
Abstract B8: Molecular subtyping of epithelial ovarian cancer reveals connections to intrinsic breast cancer subtypes
Abstract B8: Molecular subtyping of epithelial ovarian cancer reveals connections to intrinsic breast cancer subtypes
Abstract
Aim: Epithelial ovarian cancer is one of the most lethal female cancers. It is a heterogeneous group of neoplasms and the different histologic subtypes are ...
Abstract 1450: Tumor-associated glycans interact with macrophages through class-A scavenger receptor
Abstract 1450: Tumor-associated glycans interact with macrophages through class-A scavenger receptor
Abstract
Introduction. Tumor initiation and growth are associated with modifications to the glycan structure of glycoproteins, glycolipids and proteoglycans present ...
Benchmarking Bayesian methods for spectroscopy
Benchmarking Bayesian methods for spectroscopy
<p class="p1"><span class="s1"><strong>Introduction:</strong></span>&l...

