scholarly journals Modulating the tumor immune microenvironment as an ovarian cancer treatment strategy

2012 ◽  
Vol 7 (5) ◽  
pp. 413-419 ◽  
Author(s):  
Uciane K Scarlett ◽  
Jose R Conejo-Garcia
Keyword(s):  
Ovarian Cancer ◽  
Cancer Treatment ◽  
Treatment Strategy ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment

scholarly journals Significance of CD47 and Its Association With Tumor Immune Microenvironment Heterogeneity in Ovarian Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Lan Yu ◽  
Yi Ding ◽  
Ting Wan ◽  
Ting Deng ◽  
He Huang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Tumor Microenvironment ◽  
Single Cell ◽  
Prognostic Biomarker ◽  
Gene Set Enrichment Analysis ◽  
Cancer Prognosis ◽  
Expression Level ◽  
Immune Microenvironment ◽  
Immune Infiltration ◽  
Tumor Immune Microenvironment

BackgroundIt was reported that tumor heterogeneity and the surrounding tumor microenvironment (TME) in ovarian cancer affects immunotherapy efficacy and patient outcomes. And the TME of ovarian cancer is intrinsically heterogeneous. CD47 plays vital roles in cell functional behavior and immune homeostasis relating to cancer prognosis. But how it affects TME and its contribution to heterogeneity in ovarian cancer has not been fully illustrated. Therefore, we aimed to identify a prognostic biomarker which may help explain tumor immune microenvironment heterogeneity of ovarian cancer.MethodsCancer single-cell state atlas (CancerSEA) was used to evaluate functional role of CD47. Several bioinformatics database including Oncomine, Gene Expression Profiling Interaction Analysis (GEPIA), Tumor Immune Estimation Resource (TIMER), The Human Protein Atlas (HPA), Ualcan and Kaplan-Meier plotter (KM plotter) were applied to illustrate correlation of CD47 with ovarian cancer prognosis and immune infiltration. Tumor Immune Single-cell Hub (TISCH) single cell database was employed to evaluate correlation of CD47 with tumor microenvironment. GeneMANIA was implemented to identify regulation networks of CD47. Differentially expressed genes (DEGs) between CD47 high and low expression groups were analyzed with R package DESeq2. Kyoto encyclopedia of genes and genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) were utilized to explore how CD47 affect the immune related cell signaling pathway.ResultsCD47 expression was upregulated and connected to worse OS and PFS in ovarian cancer. Close relation was found between CD47 expression level and immune infiltration in ovarian cancer, especially with Treg cells, Monocytes, Macrophages and T cell exhaustion (P<0.05). The CD47 expression level was relatively low in plasma cells, dendritic cells and Mono/Macro cells of OV_GSE115007, in myofibroblasts, fibroblasts and endothelial cells of OV_GSE118828, compared to malignant cells of OV_GSE118828 dataset. The cell components and distribution in primary and metastatic ovarian cancer are quite distinct, which may lead to TME heterogeneity of ovarian cancer.ConclusionOur results indicated that CD47 is closely correlated to ovarian cancer immune microenvironment and might induce ovarian cancer heterogeneity. Therefore, CD47 may be used as a candidate prognostic biomarker and provide us with new insights into potential immunotherapy in ovarian cancer patients.

scholarly journals A Novel Prognostic Biomarker ARRDC2 has Potential to Define Tumor Microenvironment in Ovarian Cancer

2021 ◽  
Author(s):  
Mengjun Zhang ◽  
Yunduo Liu ◽  
Yuan Liu ◽  
Siyu Hou ◽  
Hao Li ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cell Signaling ◽  
Signaling Pathways ◽  
Immune Microenvironment ◽  
Poor Overall Survival ◽  
Protein Levels ◽  
Diagnosis And Prognosis ◽  
Tumor Immune Microenvironment ◽  
Cell Signaling Pathways

Abstract Purpose: The abnormal expression of α-arrestin protein family plays a key regulatory role in the occurrence and development of many cancers, including colorectal cancer and cervical cancer, and is inseparable from changes in the tumor immune microenvironment. However, the role of ARRDC2, an important member of this family, in the malignant biological process of ovarian cancer (OC) has not been reported, and its role in the change of the immune microenvironment is also unknown.Methods: In this study, HPA, TCGA, GEO and other databases were used to explore the role of ARRDC2 in the diagnosis and prognosis assessment of ovarian cancer. Then, GO, KEGG analysis and GSEA analysis of the biological processes and cell signaling pathways that ARRDC2 may be involved in activated or inhibited. In addition, the TIMER and TISIDB database were used to conduct in-depth research on the role of ARRDC2 in the change of the immune microenvironment of ovarian cancer. Finally, the CMAP database explored and screened drugs that may be used for treatment.Results: There were significant differences between OC and ARRDC2 mRNA and protein levels. High ARRDC2 expression level is associated with poor overall survival and can be used as an independent prognostic factor. Interestingly, ARRDC2 expression is positively correlated with B cells, Neutrophils, Dendritic cells and CD8+ T cells, signifying that ARRDC2 may be related to infiltration of immune cells. ARRDC2 and its co-expressed genes are enriched in cell signaling pathways related to the immune system. Finally, we explored two possible drugs for the treatment of ovarian cancer.Conclusion: The differentially expressed ARRDC2 may be a potential prognostic and diagnostic indicator and can be used as a novel biomarker for exploring the immune microenvironment of ovarian cancer.

Identification of a prognostic signature of epithelial ovarian cancer based on tumor immune microenvironment exploration

Genomics ◽  
2020 ◽  
Vol 112 (6) ◽  
pp. 4827-4841
Author(s):  
Jinhui Liu ◽  
Huangyang Meng ◽  
Sipei Nie ◽  
Ying Sun ◽  
Pinping Jiang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Prognostic Signature ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment

Tumor-associated macrophages and the tumor immune microenvironment of primary and recurrent epithelial ovarian cancer

2018 ◽  
Vol 74 ◽  
pp. 135-147 ◽  
Author(s):  
Laureen S. Ojalvo ◽  
Elizabeth D. Thompson ◽  
Tian-Li Wang ◽  
Alan K. Meeker ◽  
Ie-Ming Shih ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Tumor Associated Macrophages ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment

scholarly journals Abstract 2747: Single-cell tumor-immune microenvironment of BRCA1/2 mutated high-grade serous ovarian cancer

2021 ◽  
Author(s):  
Inga-Maria P. Launonen ◽  
Nuppu Lyytikäinen ◽  
Julia Casado ◽  
Ella A. Anttila ◽  
Connor A. Jacobson ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Single Cell ◽  
Cell Tumor ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment

scholarly journals Identification of Hypoxia Signature to Assess the Tumor Immune Microenvironment and Predict Prognosis in Patients with Ovarian Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Chunyan Wei ◽  
Xiaoqing Liu ◽  
Qin Wang ◽  
Qipei Li ◽  
Min Xie
Keyword(s):  
Ovarian Cancer ◽  
Risk Model ◽  
Risk Group ◽  
Plasmacytoid Dendritic Cell ◽  
Gene Signature ◽  
Immune Checkpoints ◽  
Immune Microenvironment ◽  
Cell Immunity ◽  
Tumor Immune Microenvironment ◽  
Hypoxia Signature

Background. The 5-year overall survival rate of ovarian cancer (OC) patients is less than 40%. Hypoxia promotes the proliferation of OC cells and leads to the decline of cell immunity. It is crucial to find potential predictors or risk model related to OC prognosis. This study aimed at establishing the hypoxia-associated gene signature to assess tumor immune microenvironment and predicting the prognosis of OC. Methods. The gene expression data of 378 OC patients and 370 OC patients were downloaded from datasets. The hypoxia risk model was constructed to reflect the immune microenvironment in OC and predict prognosis. Results. 8 genes (AKAP12, ALDOC, ANGPTL4, CITED2, ISG20, PPP1R15A, PRDX5, and TGFBI) were included in the hypoxic gene signature. Patients in the high hypoxia risk group showed worse survival. Hypoxia signature significantly related to clinical features and may serve as an independent prognostic factor for OC patients. 2 types of immune cells, plasmacytoid dendritic cell and regulatory T cell, showed a significant infiltration in the tissues of the high hypoxia risk group patients. Most of the immunosuppressive genes (such as ARG1, CD160, CD244, CXCL12, DNMT1, and HAVCR1) and immune checkpoints (such as CD80, CTLA4, and CD274) were upregulated in the high hypoxia risk group. Gene sets related to the high hypoxia risk group were associated with signaling pathways of cell cycle, MAPK, mTOR, PI3K-Akt, VEGF, and AMPK. Conclusion. The hypoxia risk model could serve as an independent prognostic indicator and reflect overall immune response intensity in the OC microenvironment.

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