<meta charset="utf8"></head><body>TMOD3の発現と卵巣がんの進行におけるその役割

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
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			<td>cBioportal</td>
			<td>Memorial Sloan Kettering Cancer Center</td>
			<td></td>
			<td>Correlation analysis of&#160; TMOD3 with targeted miRNAs (https://www.cbioportal.org)</td>
		</tr>
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			<td>CTD database</td>
			<td>North Carolina State University</td>
			<td></td>
			<td>To analyze the relationships between chemistry, genes, phenotype, disease, and environment (https://ctdbase.org/)</td>
		</tr>
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			<td>Cytoscape</td>
			<td>National Institute of General Medical Sciences of the National Institutes of Health</td>
			<td></td>
			<td>Network Data Integration, Analysis, and Visualization (www.cytoscape.org/)</td>
		</tr>
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			<td>DAVID</td>
			<td>Frederick National Laboratory for Cancer Research</td>
			<td></td>
			<td>A comprehensive set of functional annotation tools for investigators to understand the biological meaning behind large lists of genes(https://david.ncifcrf.gov/)</td>
		</tr>
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			<td>GEO</td>
			<td>NCBI</td>
			<td></td>
			<td>Gene expression analysis (https://www.ncbi.nlm.nih.gov/geo/ )</td>
		</tr>
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			<td>HPA</td>
			<td>Knut &#38; Alice Wallenberg foundation</td>
			<td></td>
			<td>The Human Protein Atlas (HPA) database helped analyze the distribution of TMOD3 in various immune cells (https://www.proteinatlas.org/)</td>
		</tr>
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			<td>KM-plotter</td>
			<td>&#160;Department of Bioinformatics of the Semmelweis University</td>
			<td></td>
			<td>Prognostic Analysis (https://kmplot.com/analysis/)</td>
		</tr>
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			<td>LinkedOmics</td>
			<td>Baylor College of Medicine</td>
			<td></td>
			<td>A platform for biologists and clinicians to access, analyze and compare cancer multi-omics data within and across tumor types (http://www.linkedomics.org/)</td>
		</tr>
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			<td>PubChem database</td>
			<td>U.S. National Library of Medicine</td>
			<td></td>
			<td>To determine the definitive molecular structure of the drug</td>
		</tr>
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			<td>ROC Plotter</td>
			<td>&#160;Department of Bioinformatics of the Semmelweis University</td>
			<td></td>
			<td>Validation of the interest gene as a predictive marker (http://www.rocplot.org/)</td>
		</tr>
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			<td>STRING</td>
			<td>Swiss Institute of Bioinformatics</td>
			<td></td>
			<td>Coexpression networks analysis(https://string-db.org)</td>
		</tr>
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			<td>TargetScan</td>
			<td>Whitehead Institute for Biomedical Research</td>
			<td></td>
			<td>Prediction of miRNA targets (www.targetscan.org/)</td>
		</tr>
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			<td>TIMER</td>
			<td>Harvard University</td>
			<td></td>
			<td>Systematical analysis of immune infiltrates across diverse cancer types (https://cistrome.shinyapps.io/timer/)</td>
		</tr>
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			<td>TISIDB</td>
			<td>The University of Hong Kong</td>
			<td></td>
			<td>A web portal for tumor and immune system interaction(http://cis.hku.hk/TISIDB/)</td>
		</tr>
		<tr>
			<td>TNMplot</td>
			<td>Department of Bioinformatics of the Semmelweis University</td>
			<td></td>
			<td>Gene expression analysis (https://www.tnmplot.com/ )</td>
		</tr>
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			<td>UALCAN</td>
			<td>The University of ALabama at Birmingham&#160;</td>
			<td></td>
			<td>Gene expression analysis (http://ualcan.path.uab.edu)</td>
		</tr>
	</tbody>
</table>

tropomodulin 3 overexpression as a marker for platinum resistance and immune infiltration in ovarian cancer

Ovarian cancer is the second-highest in the mortality rate of gynecologic tumors worldwide1. It can be classified into three types based on histopathology: germ cell, gonadal mesenchymal, and epithelial tumors, of which 90% of patients are epithelial ovarian cancer. Risk factors associated with ovarian cancer include persistent ovulation, increased gonadotropin exposure, and inflammatory cytokines2. More than 75% of ovarian cancer cases are not detected until advanced stages, resulting in their lack of effective treatment. Patients with advanced ovarian cancer have a poor prognosis, with less than 20% of the 5-year survival rate despite new chemotherapy regimens, such as intraperitoneal administration and targeted therapy. The standard treatment for ovarian cancer mainly consists of tumor resection surgery followed by chemotherapy with drugs such as platinum and paclitaxel. However, tumor recurrence occurs in about 70% of cases1. Cisplatin exerts its therapeutic effects by interfering with DNA replication and transcription and is currently the first-line agent in ovarian cancer chemotherapy. However, a significant proportion of ovarian cancer patients are platinum-resistant3. Multiple cellular processes, such as drug efflux, cellular detoxification, DNA repair, apoptosis, and autophagy, are critical in platinum resistance in ovarian cancer cells4,5,6.
The alteration in the cytoskeleton is an important mechanism affecting platinum resistance in ovarian cancer. It has been recently reported that cytoskeleton-related genes are usually aberrantly expressed, and the actin cytoskeleton is significantly modified in the presence of cisplatin-triggered apoptosis7. Many studies have shown that cisplatin modulates the nanomechanics of ovarian cancer cells. The cell stiffness of sensitive cells increases with platinum dose-dependently, mainly contributed by&#160;the disruption of&#160;actin polymerization. In contrast, cisplatin-resistant cells showed no significant change in cell stiffness after cisplatin treatment8. Furthermore, the Young&#39;s moduli of cisplatin-sensitive ovarian cancer cells were lower, as revealed by atomic force microscopy. In contrast, cisplatin-resistant ovarian cancer cells exhibit a cytoskeleton characterized by long actin stress fibers. Inhibiting Rho GTPase decreases stiffness and enhances cisplatin sensitivity in these resistant cells. Conversely, activating Rho GTPase in cisplatin-sensitive cells increases cell stiffness and reduces their sensitivity to cisplatin9.The RNA-binding protein with multiple splicing (RBPMS), a tumor suppressor gene, reduces cisplatin resistance in ovarian cancer cells by regulating the protein expression of the cytoskeletal network and maintaining cell integrity10. Actin stress fibers are more pronounced in A2780/CP cells compared to A2780 cells. The development of drug resistance in ovarian cancer cells induces extensive reorganization of the actin cytoskeleton, thereby affecting cellular mechanical properties, motility, and intracellular drug transport11.
TMOD3 is a cytoskeleton-regulatory protein that prevents the depolymerization of actin by capping the slow-growing (pointed) ends of actin filaments12.TMOD3 plays different roles in different cell types by regulating actin dynamics and participates in various processes, such as promoting cell shape, cell migration, and muscle contraction. It was shown that TMOD3 deletion in mice leads to embryonic death at E14.5-E18.5, suggesting that TMOD3 may be a critical factor in embryonic development13. Based on its biological functions in stem and progenitor cells, TMOD3 may play an essential role in tumor progression. In hepatocellular carcinoma, TMOD3 promotes the growth, invasion, and migration of hepatocellular carcinoma cells by activating the MAPK/ERK signaling pathway14 and promotes distant metastasis by activating the PI3K-AKT pathway through interaction with the epidermal growth factor receptor15. MiRNA-490-3p inhibits hepatocellular carcinoma cell proliferation and invasion by targeting TMOD316. MiR-145 improves the radiosensitivity of radiation-resistant non-small cell lung cancer by inhibiting TMOD317. In vitro experiments revealed that TMOD3 mediated the invasion of esophageal cancer cells by regulating the cytoskeleton through interaction with lysyl oxidase homolog 2 (LOXL2)18. In addition, proteomic analysis revealed that high expression of TMOD3 could potentially mediate etoposide chemoresistance in lung cancer through the apoptotic pathway19. Although TMOD3 has been increasingly studied in tumors in recent years, there are still no reports on the role of TMOD3 in ovarian cancer and chemotherapy.
This study found that TMOD3 is upregulated in ovarian cancer. Notably, the upregulation of TMOD3 was associated with platinum resistance. This study also evaluated the prognostic value of TMOD3 in ovarian cancer and its correlation with tumor immune infiltration. This study suggests that overexpression of TMOD3 in ovarian cancer is associated with platinum resistance.

<meta charset="utf8"></head><body>著者スポットライト:卵巣がんにおけるプラチナ耐性と免疫浸潤におけるTMOD3の役割の解明

卵巣癌におけるプラチナ耐性および免疫浸潤のマーカーとしてのトロポモジュリン3過剰発現

Our research focuses on drug-resistant in ovarian cancer. In our paper, we try to uncover the role of TMOD3 in ovarian cancer and chemotherapy. Many cytos calendar proteins have been demonstrated to play important role in ovarian cancer and drug resistance, but there are still no reports on the role of TMOD3, ovarian cancer and sim therapy.Our study first reported that TMOD3 is highly expressed on ovarian cancer, and closely associated with platinum resistance and immune infiltration. This result contributed to the improvement of therapy outcomes in ovarian cancer.

The cytoskeleton plays an important role in platinum resistance in ovarian cancer. Tropomodulin 3 (TMOD3) is critical in the development of many tumors, ...

tropomodulin-3-overexpression-as-marker-for-platinum-resistance

Research

JoVE Journal

Cancer Research

Tropomodulin 3 Overexpression as a Marker for Platinum Resistance and Immune Infiltration in Ovarian Cancer

476 ビュー.  Yangzhou Polytechnic College. 私たちの研究は、卵巣がんの薬剤耐性に焦点を当てています。私たちの論文では、卵巣がんと化学療法におけるTMOD3の役割を明らかにしようとしています。多くの細胞カレンダータンパク質が卵巣がんや薬剤耐性に重要な役割を果たすことが実証されていますが、TMOD3、卵巣がん、およびシミュレーション療法の役割についてはまだ報告されてい...