Increased Levels of Runt-Related Transcription Factor 2 Are Associated With Poor Survival of Patients With Idiopathic Pulmonary Arterial Hypertension

Yuan, Xun-Tao; Wang, Zuogang; Wang, Lan; Zhao, Qin‐Hua; Gong, Shan Shan; Sun, Yuanyuan; Liu, Qian; Yuan, Ping

doi:10.1177/1557988320945458

Cited by 9 publications

(4 citation statements)

References 49 publications

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“…HSPA5 [376], RIN3 [350], PTN (pleiotrophin) [339], DISC1 [398], hsa-mir-378a-5p [551], hsa-mir-5010-3p [552] and hsa-mir-21-3p [553] are believed to be associated with neurological and psychological problems. F2RL1 [58], B2M [236], TCF4 [237], hsa-mir-34b-5p [554], hsa-mir-21-3p [455], SOX2 [456], GATA2 [557], RUNX2 [558], TEAD4 [559], DROSHA [560], STAT5A [561] and ESR1 [562] are believed to be associated with hypertension. A previous study found that increased PLK1 [130], B2M [170], SOCS1 [128], AR (androgen receptor) [166], hsa-mir-21-3p [563], GATA2 [564], RUNX2 [565] and ESR1 [566] expression were associated with cardiovascular problems.…”

Section: Discussionmentioning

confidence: 99%

The Identification of Key Genes and Biological Pathways in Polycystic Ovary Syndrome and its Complications by Next Generation Squancing (NGS) and Bioinformatics Analysis

Vastrad¹,

Vastrad²

2023

Preprint

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Polycystic ovary syndrome (PCOS) is is associated with infertility, obesity, insulin resistance, hyperinsulinemia, type 2 diabetes mellitus, hypertension, cardiovascular problems, neurological and psychological problems and cancer. The specific mechanism of PCOS and its complications remains unclear. The aim of this study was to apply a bioinformatics approach to reveal related pathways or genes involved in the development of PCOS and its complications. The next generation squancing (NGS) datset GSE199225 was downloaded from the gene expression omnibus (GEO) database. Differentially expressed gene (DEG) analysis was performed using DESeq2. The g:Profiler was utilized to analyze the functional enrichment, gene ontology (GO) and REACTOME pathway of the differentially expressed genes. A protein-protein interaction (PPI) network was constructed and module analysis was performed using HiPPIE and cytoscape. The miRNA-hub gene regulatory network and TF-hub gene regulatory network were also constructed for research. The expression of the hub genes was validated using receiver operating characteristic (ROC) curve analysis. We have identified 957 DEGs in total, including 478 up regulated genes and 479 down regulated gene. GO and REACTOME illustrated that DEGs in PCOS were significantly enriched in regulation of molecular function, developmental process, interferon signaling and platelet activation, signaling and aggregation. Finally, through analyzing the PPI network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network, we screened hub genes HSPA5, PLK1, RIN3, DBN1, CCDC85B, DISC1, AR, MTUS2, LYN and TCF4 by the Cytoscape software. This study uses a series of bioinformatics technologies to obtain hug genes and key pathways related to PCOS and its complications. These analysis results provide us with novel ideas for finding biomarkers and treatment methods for PCOS and its complications.

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Section: Discussionmentioning

confidence: 99%

The Identification of Key Genes and Biological Pathways in Polycystic Ovary Syndrome and its Complications by Next Generation Squancing (NGS) and Bioinformatics Analysis

Vastrad¹,

Vastrad²

2023

Preprint

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“…Our results indicate that the RUNX gene family is associated with levels of immune infiltration, poor prognosis, and drug response in various types of cancer. In addition, these findings highlight the potential use of members of the RUNX gene family as biomarkers for cancer progression and prognosis, and as potential treatment targets in various cancer types [ 36 – 39 ].…”

Section: Discussionmentioning

confidence: 99%

Prognostic value and immune characteristics of RUNX gene family in human cancers: a pan-cancer analysis

Han

Chen

Shen

et al. 2022

Aging

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Background: Runt-related transcription factors (RUNX) are involved in numerous fundamental biological processes and play crucial parts in tumorigenesis and metastasis both directly and indirectly. However, the pan-cancer evidence of the RUNX gene family is not available. Methods: In this study, we analyzed the potential association between RUNX gene family expression and patient’s prognosis, immune cell infiltration, drug response, and genetic mutation data across different types of tumors using based on The Cancer Genome Atlas, Gene Expression Omnibus, and Oncomine database. Results: The results showed that the expression of the RUNX gene family varied among different cancer types, revealing its heterogeneity in cancers and that expression of RUNX2 was lower than that of RUNX1 and RUNX3 across all cancer types. RUNX gene family gene expression was related to prognosis in several cancers. Furthermore, our study revealed a clear association between RUNX gene family expression and ESTIMATE score, RNA stemness, and DNA stemness scores. Compared with RUNX1 and RUNX2, RUNX3 showed relatively low levels of genetic alterations. RUNX gene family genes had clear associations with immune infiltrate subtypes, and their expression was positively related to immune checkpoint genes and drug sensitivity in most cases. Two immunotherapy cohorts confirm that the expression of RUNX was correlated with the clinical response of immunotherapy. Conclusions: These findings will help to elucidate the potential oncogenic roles of RUNX gene family genes in different types of cancer and it can function as a prognostic marker in various malignant tumors.

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“…Our results indicate that the RUNX gene family is associated with levels of immune in ltration, poor prognosis, and drug response in various types of cancer. In addition, these ndings highlight the potential use of members of the RUNX gene family as biomarkers for cancer progression and prognosis, and as potential treatment targets in various cancer types [37][38][39][40].…”

Section: Discussionmentioning

confidence: 99%

Prognostic Value and Immune Characteristics of RUNX Family in Human Cancers: A Pan-cancer Analysis

Zhao¹,

Chen

Shen

et al. 2021

Preprint

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Background: Runt‑related transcription factors (RUNX) are involved in numerous fundamental biological processes and play crucial parts in tumorigenesis and metastasis both directly and indirectly. However, the pan-cancer evidence of RUNX gene family is no available. Methods: In this study, we analyzed the potential association between RUNX gene family expression and patient’s prognosis, immune cell infiltration, drug response, and genetic mutation data across different types of tumors using based on The Cancer Genome Atlas, Gene Expression Omnibus, and Oncomine database. Results: The results showed that the expression of the RUNX family varied among different cancer types, revealing its heterogeneity in cancers, and that expression of RUNX2 was lower than that of RUNX1 and RUNX3 across all cancer types. RUNX family gene expression was related to prognosis in several cancers. Furthermore, our study revealed a clear association between RUNX family expression and ESTIMATE score, RNA stemness, and DNA stemness scores. Compared with RUNX1 and RUNX2, RUNX3 showed relatively low levels of genetic alterations. RUNX family genes had clear associations with immune infiltrate subtypes, and their expression was positively related to immune checkpoint genes and drug sensitivity in most cases. Conclusions: These findings will help to elucidate the potential oncogenic roles of RUNX family genes in different types of cancer and it can function as a prognostic marker in various malignant tumors.

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Increased Levels of Runt-Related Transcription Factor 2 Are Associated With Poor Survival of Patients With Idiopathic Pulmonary Arterial Hypertension

Cited by 9 publications

References 49 publications

The Identification of Key Genes and Biological Pathways in Polycystic Ovary Syndrome and its Complications by Next Generation Squancing (NGS) and Bioinformatics Analysis

The Identification of Key Genes and Biological Pathways in Polycystic Ovary Syndrome and its Complications by Next Generation Squancing (NGS) and Bioinformatics Analysis

Prognostic value and immune characteristics of RUNX gene family in human cancers: a pan-cancer analysis

Prognostic Value and Immune Characteristics of RUNX Family in Human Cancers: A Pan-cancer Analysis

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