Investigation of serum levels and tissue expression of two genes IGFBP-2 and IGFBP-3 act as potential biomarker for predicting the progression and survival in patients with glioblastoma multiforme

Abdolhoseinpour, Hesam; Mehrabi, Farzad; Shahraki, Kourosh; Khoshnood, Reza Jalili; Masoumi, Babak; Yahaghi, Emad; Goudarzi, Peyman Karimi

doi:10.1016/j.jns.2016.05.018

Cited by 14 publications

(12 citation statements)

References 27 publications

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“…Numerous researches have pointed out that the IGFBP3 overexpression is also in relation with the favorable survival in lung cancer [34], hepatocellular carcinoma [35], breast cancer [36], bladder carcinoma [37], esophageal squamous cell cancer [38], and pancreatic ductal adenocarcinoma [39]. However, raised levels of IGFBP3 are correlated with reduced survival in glioblastoma multiforme [40]. Furthermore, IGFBP3 regulated by miR-19a-3p can inhibit the proliferation, migration, and invasion in OC cells [41].…”

Section: Discussionmentioning

confidence: 99%

The Prognostic Values of the Insulin-Like Growth Factor Binding Protein Family in Ovarian Cancer

Zheng

Chen

Xia

et al. 2020

BioMed Research International

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Purpose. To assess the expression of insulin-like growth factor binding protein (IGFBP) family and its prognostic impact in ovarian cancer (OC) patients. Materials and Methods. The mRNA expression and protein expression of individual IGFBPs in healthy ovarian samples and OC tissues were explored through Oncomine, Gene Expression Profiling Interactive Analysis, and Human Protein Atlas database. Additionally, the prognostic values of the six IGFBP members in patients with OC were evaluated by Kaplan-Meier plotter. Results. IGFBP2 and IGFBP4 mRNA expression were remarkably upregulated in patients with OC. To be specific, the mRNA expression of IGFBP2 was upregulated in patients with serous ovarian cancer (SOC), while IGFBP1/3/4/5/6 mRNA levels were downregulated. In addition, the IGFBP4 protein expression was upregulated in SOC, and the IGFBP6 protein expression was upregulated in both of SOC and endometrioid ovarian cancer (EOC) tissues. High IGFBP1 mRNA levels showed favorable overall survival (OS) and progression-free survival (PFS) in all OC. Meanwhile, increased IGFBP5/6 mRNA levels revealed worsen OS and PFS in all OC patients. IGFBP4/6 mRNA levels predicted unfavorable OS and PFS only in SOC patients. Moreover, the aberrant mRNA expression of IGFBP1/2/4/5/6 was correlated with significantly prognosis in patients receiving different chemotherapeutic regimens. Conclusion. This study indicates that the IGFBP family reveals distinct prognosis in patients with OC. IGFBP1/2/4/5/6 are useful prognostic predictors for chemotherapeutic effect in OC patients, and IGFBP2/4 are potential tumor markers for the diagnosis of OC.

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Section: Discussionmentioning

confidence: 99%

The Prognostic Values of the Insulin-Like Growth Factor Binding Protein Family in Ovarian Cancer

Zheng

Chen

Xia

et al. 2020

BioMed Research International

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“…For example, Plasma IGFBP-2 levels were significantly correlated with tumor volume and independently associated with poor overall survival in patients with GBM [28]. Abdolhoseinpour et al found that Serum and tissue expression levels of IGFBP-2 and IGFBP-3 can be used as potential biomarkers to predict the progression and survival of GBM [29]. It is The average weight of tumors in shCtrl group and shDEPDC1B-1 group.…”

Section: Discussionmentioning

confidence: 99%

“…For example, Plasma IGFBP-2 levels were significantly correlated with tumor volume and independently associated with poor overall survival in patients with GBM [ 28 ]. Abdolhoseinpour et al found that Serum and tissue expression levels of IGFBP-2 and IGFBP-3 can be used as potential biomarkers to predict the progression and survival of GBM [ 29 ]. It is concluded that Survivin high expression, singular vascular morphology and secondary GBM are related to low survival rate, while microvascular density is not related to survival rate [ 30 ].…”

Section: Discussionmentioning

confidence: 99%

Knockdown of DEPDC1B inhibits the development of glioblastoma

Guo

Cao

et al. 2020

Cancer Cell Int

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Background: Glioblastoma (GBM) is the most common primary malignant brain tumor in adults with a poor prognosis. DEPDC1B (DEP domain-containing protein 1B) has been shown to be associated with some types of malignancies. However, the role and underlying regulatory mechanisms of DEPDC1B in GBM remain elusive. Methods: In this research, the expression level of DEPDC1B in GBM tissues was detected by IHC. The DEPDC1B knockdown cell line was constructed, identified by qRT-PCR and western blot and used to construct the xenotransplantation mice model and intracranial xenograft model. MTT assay, colony formation assay, flow cytometry, and Transwell assay were used to detected cell proliferation, apoptosis and migration. Results: The results proved that DEPDC1B was significantly upregulated in tumor tissues, and silencing DEPDC1B could inhibit proliferation, migration and promote apoptosis of GBM cell. In addition, human apoptosis antibody array detection showed that after DEPDC1B knockdown, the expression of apoptosis-related proteins was downregulated, such as IGFBP-2, Survivin, N-cadherin, Vimentin and Snail. Finally, we indicated that knockdown of DEPDC1B significantly inhibited tumor growth in vivo. Conclusions: In summary, DEPDC1B was involved in the development and progression of GBM, which may be a potential therapeutic target and bring a breakthrough in the treatment.

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“…In pathway enrichment analysis for up regulated genes was performed. Enriched genes such as SOD2 [68], RPS11 [69], RPL9 [70], MYC (MYC proto-oncogene, bHLH transcription factor) [71], SEC61G [72], BIRC5 [73], NEK2 [74], CDK2 [75], AURKB (aurora kinase B) [76], RPS3 [77], MGP (matrix Gla protein) [78], AEBP1 [79], CTHRC1 [80], COL1A1 [81], COL3A1 [82], TNC (tenascin C) [83], POSTN (periostin) [84], IGFBP2 [85], IGFBP3 [86], IGFBP4 [87], SRPX2 [88], LAMB1 [89], ESM1 [90], TGFBI (transforming growth factor beta induced) [91], ITGA5 [92], RAP1B [93], CAV1 [94], HMOX1 [95] and LOX (lysyl oxidase) [96] were linked with progression of GBM. GPX7 was important for advancement of gastric cancer [97], but this gene was identified first time in GBM and may be liable for progression of GBM.…”

Section: Discussionmentioning

confidence: 99%

Identification of Key Genes and Signaling Pathways Associated with the Progression of Glioblastoma multiform

Vastrad¹,

Vastrad²,

Kotturshetti

2020

Preprint

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Genomic features have been gradually regarded as part of the basics to the clinical diagnosis, prognosis and treatment for glioblastoma multform (GBM). However, the molecular modifications taking place during the advancement of GBM remain unclear. Therefore, recognition of potential important genes and pathways in the gastric cancer progression is important to clinical practices. In the present study, gene expression dataset (GSE116520) of GBM were selected from the Gene Expression Omnibus (GEO) database and were further used to identify differentially expressed genes (DEGs). Then, pathway and Gene Ontology (GO) enrichment analyses were conducted, and a protein-protein interaction (PPI) network was constructed to explore the potential mechanism of GBM carcinogenesis. Significant modules were discovered using the PEWCC1 plugin for Cytoscape. In addition, a target gene - miRNA regulatory network and target gene - TF regulatory network in GBM were constructed using common deregulated miRNAs, TFs and DEGs. Finally, we carried on validation of hub genes by UALCAN, cBioporta, human protein atlas, ROC (Receiver operating characteristic) curve analysis, RT-PCR and immune infiltration analysis. The results indicated that a total of 947 differential expressed genes (DEGs) (477 up regulated and 470 down regulated) was identified in microarray profiles. Pathway enrichment analysis revealed that DEGs (up and down regulated) were mainly associated in reactive oxygen species degradation, ribosome, homocarnosine biosynthesis and GABAergic synapse, whereas GO enrichment analyses revealed that DEGs (up and down regulated) were mainly associated in macromolecule catabolic process, cytosolic part, synaptic signaling and synapse part as the main pathways associated in these processes. Finally, we filtered out hub genes, including MYC, ARRB1, RPL7A, SNAP25, SOD2, SVOP, ABCC3 and ABCA2, from the all networks. Validation of hub genes suggested the robustness of the above results. In conclusion, these results provided novel and reliable biomarkers for GBM, which will be useful for further clinical applications in GBM diagnosis, prognosis and targeted therapy.

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Investigation of serum levels and tissue expression of two genes IGFBP-2 and IGFBP-3 act as potential biomarker for predicting the progression and survival in patients with glioblastoma multiforme

Cited by 14 publications

References 27 publications

The Prognostic Values of the Insulin-Like Growth Factor Binding Protein Family in Ovarian Cancer

The Prognostic Values of the Insulin-Like Growth Factor Binding Protein Family in Ovarian Cancer

Knockdown of DEPDC1B inhibits the development of glioblastoma

Identification of Key Genes and Signaling Pathways Associated with the Progression of Glioblastoma multiform

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