Mining the Immune Cell Proteome to Identify Ovarian Cancer-Specific Biomarkers

2013 ◽  
Author(s):  
Manish S. Patankar
Keyword(s):  
Ovarian Cancer ◽  
Immune Cell ◽  
Cell Proteome

Adenosine Analogues as Opposite Modulators of the Cisplatin Resistance of Ovarian Cancer Cells

2019 ◽  
Vol 19 (4) ◽  
pp. 473-486 ◽  
Author(s):  
Katarzyna Bednarska-Szczepaniak ◽  
Damian Krzyżanowski ◽  
Magdalena Klink ◽  
Marek Nowak
Keyword(s):  
Cell Cycle ◽  
Ovarian Cancer ◽  
Cancer Cells ◽  
Cancer Cell ◽  
Cell Biology ◽  
Immune Cell ◽  
Immunosuppressive Agents ◽  
Cell Activity ◽  
Ovarian Cancer Cells ◽  
Adenosine Analogues

Background: Adenosine released by cancer cells in high amounts in the tumour microenvironment is one of the main immunosuppressive agents responsible for the escape of cancer cells from immunological control. Blocking adenosine receptors with adenosine analogues and restoring immune cell activity is one of the methods considered to increase the effectiveness of anticancer therapy. However, their direct effects on cancer cell biology remain unclear. Here, we determined the effect of adenosine analogues on the response of cisplatinsensitive and cisplatin-resistant ovarian cancer cells to cisplatin treatment. Methods: The effects of PSB 36, DPCPX, SCH58261, ZM 241385, PSB603 and PSB 36 on cisplatin cytotoxicity were determined against A2780 and A2780cis cell lines. Quantification of the synergism/ antagonism of the compounds cytotoxicity was performed and their effects on the cell cycle, apoptosis/necrosis events and cisplatin incorporation in cancer cells were determined. Results: PSB 36, an A1 receptor antagonist, sensitized cisplatin-resistant ovarian cancer cells to cisplatin from low to high micromolar concentrations. In contrast to PSB 36, the A2AR antagonist ZM 241385 had the opposite effect and reduced the influence of cisplatin on cancer cells, increasing their resistance to cisplatin cytotoxicity, decreasing cisplatin uptake, inhibiting cisplatin-induced cell cycle arrest, and partly restoring mitochondrial and plasma membrane potentials that were disturbed by cisplatin. Conclusion: Adenosine analogues can modulate considerable sensitivity to cisplatin of ovarian cancer cells resistant to cisplatin. The possible direct beneficial or adverse effects of adenosine analogues on cancer cell biology should be considered in the context of supportive chemotherapy for ovarian cancer.

scholarly journals Identification of a gene set correlated with immune status in ovarian cancer by transcriptome-wide data mining

2020 ◽  
Author(s):  
Lili Fan ◽  
Han Lei ◽  
Ying Lin ◽  
Zhengwei Zhou ◽  
Guang Shu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Immune Cell ◽  
Good Prognosis ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Survival Prognosis ◽  
Immune Activity ◽  
Gene Set ◽  
Immune Infiltration ◽  
Keywords Ovarian Cancer

Abstract Background : Ovarian cancer (OC) is a serious tumor disease in gynecology. Many papers have reported that high tumor mutational burden (TMB) can generate many neoantigens to result in a higher degree of tumor immune infiltration, so our study aims to predict the key molecules in OC immunotherapy by combined TMB with immunoactivity-related gene. Method: We divided OC cases into two groups: the low & high TMB group hinged on the somatic mutation data from the Cancer Genome Atlas (TCGA). We also used single-sample gene set enrichment analysis (ssGSEA) scores of immune cell types to conduct unsupervised clustering of OC patients in the TCGA cohort and some of them were defined as the low & high immunity group. Besides, to further understand the function of these genes, we conducted Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway, protein-protein interaction network, survival prognosis analysis and immune infiltration analysis. Finally, the effects on prognosis and immunotherapy in OC patients were explored by the Group on Earth Observations verification the patients' responses to immunotherapy. Results: We found that the higher the TMB was associated with the higher OC grades. Moreover, both high TMB and high immunity were significantly correlated with a good prognosis of OC. Then, 14 up-regulated differential expression genes (Up-DEGs) that were closely related to the prognosis of OC patients were screened according to the high TMB group and the high immunity group. Next, pathway analysis revealed that Up-DGEs were mainly involved in immune response and T cell proliferation. Finally, four genes had a good prognosis and were validated in the GEO dataset which included CXCL13, FCRLA, PLA2G2D, and MS4A1. We also identified that four genes had a good prognosis in melanoma patients treated with anti-PD-L1 and anti-CTLA-4 in the TIDE database. Conclusion: High TMB can promote immune cell infiltration and increases immune activity. And our analysis also demonstrated that the higher the TMB, the higher the immune activity, the better the prognosis of OC. Altogether, we found that CXCL13, FCRLA, PLA2G2D, and MS4A1 may be biomarkers for OC immunotherapy. Keywords: ovarian cancer, TMB, immune cells infiltration, survival prognosis.

scholarly journals TRPV4 is a Prognostic Biomarker that Correlates with the Immunosuppressive Microenvironment and Chemoresistance of Anti-Cancer Drugs

2021 ◽  
Vol 8 ◽  
Author(s):  
Kai Wang ◽  
Xingjun Feng ◽  
Lingzhi Zheng ◽  
Zeying Chai ◽  
Junhui Yu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Transient Receptor Potential ◽  
Immune Cell ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
High Expression ◽  
Cancer Drugs ◽  
Free Interval ◽  
Anti Cancer ◽  
Pan Cancer

Background: Transient receptor potential cation channel subfamily V member 4 (TRPV4) has been reported to regulate tumor progression in many tumor types. However, its association with the tumor immune microenvironment remains unclear.Methods: TRPV4 expression was assessed using data from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) database. The clinical features and prognostic roles of TRPV4 were assessed using TCGA cohort. Gene set enrichment analysis (GSEA) of TRPV4 was conducted using the R package clusterProfiler. We analyzed the association between TRPV4 and immune cell infiltration scores of TCGA samples downloaded from published articles and the TIMER2 database. The IC50 values of 192 anti-cancer drugs were downloaded from the Genomics of Drug Sensitivity in Cancer (GDSC) database and the correlation analysis was performed.Results: TRPV4 was highly expressed and associated with worse overall survival (OS), disease-specific survival (DSS), disease-free interval (DFI), and progression-free interval (PFI) in colon adenocarcinoma (COAD) and ovarian cancer. Furthermore, TRPV4 expression was closely associated with immune regulation-related pathways. Moreover, tumor-associated macrophage (TAM) infiltration levels were positively correlated with TRPV4 expression in TCGA pan-cancer samples. Immunosuppressive genes such as PD-L1, PD-1, CTLA4, LAG3, TIGIT, TGFB1, and TGFBR1 were positively correlated with TRPV4 expression in most tumors. In addition, patients with high expression of TRPV4 might be resistant to the treatment of Cisplatin and Oxaliplatin.Conclusion: Our results suggest that TRPV4 is an oncogene and a prognostic marker in COAD and ovarian cancer. High TRPV4 expression is associated with tumor immunosuppressive status and may contribute to TAM infiltration based on TCGA data from pan-cancer samples. Patients with high expression of TRPV4 might be resistant to the treatment of Cisplatin and Oxaliplatin.

TRPV4 is a Prognostic Biomarker That Correlates With the Immunosuppressive Microenvironment and Chemoresistance of Anti-Cancer Drugs

2021 ◽  
Author(s):  
kai wang ◽  
Jun xing Feng ◽  
Zhi ling Zheng ◽  
Ying ze Chai ◽  
Hui jun Yu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Transient Receptor Potential ◽  
Immune Cell ◽  
Colon Adenocarcinoma ◽  
Enrichment Analysis ◽  
Receptor Potential ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Free Interval ◽  
Pan Cancer

Abstract Background: Transient receptor potential cation channel subfamily V member 4 (TRPV4) has been reported to regulate tumor progression in many tumor types. However, its association with the tumor immune microenvironment remains unclear.Methods: TRPV4 expression was assessed using data from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) database. The clinical features and prognostic roles of TRPV4 were assessed using TCGA cohort. Gene set enrichment analysis (GSEA) of TRPV4 was conducted using the R package clusterProfiler. We analyzed the association between TRPV4 and immune cell infiltration scores of TCGA samples downloaded from published articles and the TIMER2 database.Results: TRPV4 was highly expressed and associated with worse overall survival (OS), disease-specific survival (DSS), disease-free interval (DFI), and progression-free interval (PFI) in colon adenocarcinoma (COAD) and ovarian cancer. Furthermore, TRPV4 expression was closely associated with immune regulation-related pathways. Moreover, tumor-associated macrophage (TAM) infiltration levels were positively correlated with TRPV4 expression in TCGA pan-cancer samples. Immunosuppressive genes such as PD-L1, PD-1, CTLA4, LAG3, TIGIT, TGFB1, and TGFBR1 were positively correlated with TRPV4 expression in most tumors.Conclusions: Our results suggest that TRPV4 is an oncogene and a prognostic marker in COAD and ovarian cancer. High TRPV4 expression is associated with tumor immunosuppressive status and may contribute to TAM infiltration based on TCGA data from pan-cancer samples.

scholarly journals Emerging and Evolving Ovarian Cancer Animal Models

2015 ◽  
Vol 8s1 ◽  
pp. CGM.S21221 ◽  
Author(s):  
Alexander S. Bobbs ◽  
Jennifer M. Cole ◽  
Karen D. Cowden Dahl
Keyword(s):  
Ovarian Cancer ◽  
Animal Models ◽  
Mouse Models ◽  
Immune Cell ◽  
Treatment Options ◽  
The United States ◽  
Genetically Engineered ◽  
Response To Therapy ◽  
Gynecological Malignancy ◽  
Immunocompetent Mice

Ovarian cancer (OC) is the leading cause of death from a gynecological malignancy in the United States. By the time a woman is diagnosed with OC, the tumor has usually metastasized. Mouse models that are used to recapitulate different aspects of human OC have been evolving for nearly 40 years. Xenograft studies in immunocompromised and immunocompetent mice have enhanced our knowledge of metastasis and immune cell involvement in cancer. Patient-derived xenografts (PDXs) can accurately reflect metastasis, response to therapy, and diverse genetics found in patients. Additionally, multiple genetically engineered mouse models have increased our understanding of possible tissues of origin for OC and what role individual mutations play in establishing ovarian tumors. Many of these models are used to test novel therapeutics. As no single model perfectly copies the human disease, we can use a variety of OC animal models in hypothesis testing that will lead to novel treatment options. The goal of this review is to provide an overview of the utility of different mouse models in the study of OC and their suitability for cancer research.

Sign in / Sign up

Export Citation Format

Share Document