Downregulated exosome-associated gene FGF9 as a novel diagnostic and prognostic target for ovarian cancer and its underlying roles in immune regulation

Xu, Zhijie; Cai, Yuan; Liu, Wei; Kang, Fanhua; He, Qingchun; Hong, Qianhui; Zhang, Wenqin; Li, Jianbo; Yan, Yuanliang; Peng, Jinwu

doi:10.18632/aging.203905

Cited by 10 publications

(9 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on previous studies, we obtained 120 exosome-related genes ( Wang et al, 2021 ; Xu et al, 2022 ). We obtained 40 prognosis-related exosomal genes through univariate Cox regression analysis.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A prognostic exosome-related LncRNA risk model correlates with the immune microenvironment in liver cancer

Zhang

et al. 2022

Front. Genet.

Self Cite

View full text Add to dashboard Cite

Background: Emerging studies have shown the important roles of long noncoding RNAs (lncRNAs) in the occurrence and development of liver cancer. However, the exosome-related lncRNA signature in liver cancer remains to be clarified.Methods: We obtained 371 tumor specimens and 50 normal tissues from the TCGA database. These samples were randomly divided into the training queue and verification queue. The exosome-related lncRNA risk model was verified by correlation analysis, Lasso regression analysis, and Cox regression analysis. The differences in the immune microenvironment in the two risk groups were obtained by analyzing the infiltration of different immune cells.Results: Five exosome-related lncRNAs associated (MKLN1-AS, TMCC1-AS1, AL031985.3, LINC01138, AC099850.3) with a poor prognosis were identified and used to construct the signature. Receiver operating curve (ROC) and survival curves were used to confirm the predictive ability of this signature. Based on multivariate regression analysis in the training cohort (HR: 3.033, 95% CI: 1.762–5.220) and validation cohort (HR: 1.998, 95% CI: 1.065–3.751), the risk score was found to be an independent risk factor for patient prognosis. Subsequently, a nomogram was constructed to predict the 1-, 3-, 5-years survival rates of liver cancer patients. Moreover, this signature was also related to overexpressed immune checkpoints (PD-1, B7-H3, VSIR, PD-L1, LAG3, TIGIT and CTLA4).Conclusion: Our study showed that exosome-related lncRNAs and the corresponding nomogram could be used as a better index to predict the outcome and immune regulation of liver cancer patients. This signature might provide a new idea for the immunotherapy of liver cancer in the future.

show abstract

Section: Resultsmentioning

confidence: 99%

“…According to previous studies, a total of 120 exosome related genes are shown in Supplementary Table S1 ( Wang et al, 2021 ; Xu et al, 2022 ). Pearson correlation was used to explore the relationship between lncRNAs and exosome-related genes.…”

Section: Methodsmentioning

confidence: 99%

A prognostic exosome-related LncRNA risk model correlates with the immune microenvironment in liver cancer

Zhang

et al. 2022

Front. Genet.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Then, the differently expressed genes (DEGs) between the normal liver tissues and LIHC were screened with the following criteria: P value <0.01 and |logFC| > 1 ( Table 1 ). Next, Venn plots were employed to identify the co-DEGs among the exosome-associated gene dataset (Supplementary Table 1 ) [ 24 ] and the above-mentioned GEO datasets. After then, Xiantao Xueshu [ 25 ], TNMplot [ 26 ], and UALCAN [ 27 ] were used to confirm the downregulated expression levels of ENPP1 in LIHC tissues.…”

Section: Methodsmentioning

confidence: 99%

Identification of Downregulated Exosome-Associated Gene ENPP1 as a Novel Lipid Metabolism and Immune-Associated Biomarker for Hepatocellular Carcinoma

Peng

et al. 2022

Journal of Oncology

View full text Add to dashboard Cite

Exosome plays an important role in the occurrence and development of tumors, such as hepatocellular carcinoma (LIHC). However, the functions and mechanisms of exosome-associated molecules in LIHC are still underexplored. Here, we investigated the role of the exosome-related gene ENPP1 in LIHC. Comprehensive bioinformatics from multiple databases revealed that ENPP1 was significantly downregulated in LIHC tissues. The patients with downregulated ENPP1 displayed a poor prognosis. Immunohistochemistry (IHC) was used to further confirm the downregulated ENPP1 in LIHC tissues. In addition, the coexpression network of ENPP1 was also explored to understand its roles in the underlying signaling pathways, including fatty acid degradation and the PPAR signaling pathway. Simultaneously, GSEA analysis indicated the potential roles of ENPP1 in the lipid metabolism-associated signaling pathways in the pathogenesis of LIHC, including fatty acid metabolism, fatty acid synthesis, and so on. Finally, immunological analysis indicated that ENPP1 might also be involved in multiple immune-related features, including immunoinhibitors, immunostimulators, and chemokines. Taken together, these findings could enhance our understanding of ENPP1 in LIHC pathogenesis and immune response and provide a new target for ENPP1-related immunotherapy in clinical treatment.

show abstract

“…It has been shown that the levels of miR-200a, miR-200b, miR-200c, and miR-1290 were increased in the ascites of OC patients, and the level of miR-200b was associated with overall survival rate [ 38 ]. As an EV-associated gene, the expression of fibroblast growth factor 9 (FGF9) in ovarian epithelial tissue was lower than that in normal ovarian tissue, and the downregulated FGF9 showed good prognostic value in patients with OC [ 21 ]. The plasma EV-derived fragile site-associated tumor suppressor (FATS) was significantly decreased in OC patients; meanwhile, low levels of plasma EVs-derived FATS were closely associated with the Federation International of Gynecology and Obstetrics (FIGO) stage III/IV, high grade, ascites, elevated CA-125, and lymph node metastasis and prognosis of OC patients [ 22 ].…”

Section: Progress Of the Research Into Evs In The Diagnosis And Treat...mentioning

confidence: 99%

Application of Extracellular Vesicles in Gynecologic Cancer Treatment

2022

View full text Add to dashboard Cite

Ovarian, cervical, and endometrial cancer are the three most common gynecological malignancies that seriously threaten women’s health. With the development of molecular biology technology, immunotherapy and targeted therapy for gynecologic tumors are being carried out in clinical treatment. Extracellular vesicles are nanosized; they exist in various body fluids and play an essential role in intercellular communication and in the regulation of various biological process. Several studies have shown that extracellular vesicles are important targets in gynecologic cancer treatment as they promote tumor growth, progression, angiogenesis, metastasis, chemoresistance, and immune system escape. This article reviews the progress of research into extracellular vesicles in common gynecologic tumors and discusses the role of extracellular vesicles in gynecologic tumor treatment.

show abstract

Downregulated exosome-associated gene FGF9 as a novel diagnostic and prognostic target for ovarian cancer and its underlying roles in immune regulation

Cited by 10 publications

References 44 publications

A prognostic exosome-related LncRNA risk model correlates with the immune microenvironment in liver cancer

A prognostic exosome-related LncRNA risk model correlates with the immune microenvironment in liver cancer

Identification of Downregulated Exosome-Associated Gene ENPP1 as a Novel Lipid Metabolism and Immune-Associated Biomarker for Hepatocellular Carcinoma

Application of Extracellular Vesicles in Gynecologic Cancer Treatment

Contact Info

Product

Resources

About