Is Integrin Subunit Alpha 2 Expression a Prognostic Factor for Liver Carcinoma? A Validation Experiment Based on Bioinformatics Analysis

Zhang, Liang; Huang, Yi; Ling, Junjun; Wu, Zhuo; Zhen, Yu; Luo, Yunbo; Zhu, Yi

doi:10.1007/s12253-018-0551-0

Cited by 13 publications

(14 citation statements)

References 20 publications

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“…The up-regulated expression of LAMB1 in glioma was related to the miR-124-5p down-regulation table based on quantitative PCR and western blot for samples ( 40 ). LAMB1 has been identified as a potential biomarker for liver ( 41 ), colon ( 42 ), and stomach cancers ( 43 ). The up-regulated expression of LAMC1 might lead to the down-regulation of miRNA-181a ( 44 ) and miR-124a ( 45 ), which may be associated with tumor invasion and lead to poor prognosis.…”

Section: Discussionmentioning

confidence: 99%

Identification of the potential biomarkers in patients with glioma: a weighted gene co-expression network analysis

et al. 2019

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Abstract Glioma is the most common brain tumor with high mortality. However, there are still challenges for the timely and accurate diagnosis and effective treatment of the tumor. One hundred and twenty-one samples with grades II, III and IV from the Gene Expression Omnibus database were used to construct gene co-expression networks to identify hub modules closely related to glioma grade, and performed pathway enrichment analysis on genes from significant modules. In gene co-expression network constructed by 2345 differentially expressed genes from 121 gene expression profiles for glioma, we identified the black and blue modules that associated with grading. The module preservation analysis based on 118 samples indicates that the two modules were replicable. Enrichment analysis showed that the extracellular matrix genes were enriched for blue module, while cell division genes were enriched for black module. According to survival analysis, 21 hub genes were significantly up-regulated and one gene was significantly down-regulated. What’s more, IKBIP, SEC24D, and FAM46A are the genes with little attention among the 22 hub genes. In this study, IKBIP, SEC24D, and FAM46A related to glioma were mentioned for the first time to the current knowledge, which might provide a new idea for us to study the disease in the future. IKBIP, SEC24D and FAM46A among the 22 hub genes identified that are related to the malignancy degree of glioma might be used as new biomarkers to improve the diagnosis, treatment and prognosis of glioma.

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Section: Discussionmentioning

confidence: 99%

Identification of the potential biomarkers in patients with glioma: a weighted gene co-expression network analysis

et al. 2019

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“…Previous studies showed that ITGA2 is overexpressed in tumor cells and related to the poor prognosis of patients with cancer [ 6 , 8 – 10 , 20 ], especially pancreatic cancer [ 10 ]. However, the reason for the high expression level of ITGA2 in pancreatic cancer has not been clarified.…”

Section: Discussionmentioning

confidence: 99%

“…The protein encoded by the gene forms a heterodimer with a β subunit, which mediates the adhesion of platelets and other cell types to the extracellular matrix [ 6 ]. ITGA2 is overexpressed in many cancers such as hepatocellular carcinoma [ 8 ], ovarian cancer [ 9 ], and pancreatic ductal adenocarcinoma [ 10 ], and is thought to be related to cell adhesion and cell surface-mediated signal transduction. Although our previous studies showed that overexpressed ITGA2 can upregulate PD-L1 to activate the STAT3 signaling pathway and thereby promote tumor cell progression [ 10 ], the carcinogenic mechanism of ITGA2 in pancreatic cancer still needs elucidation in further research.…”

Section: Introductionmentioning

confidence: 99%

Overexpressed integrin alpha 2 inhibits the activation of the transforming growth factor β pathway in pancreatic cancer via the TFCP2-SMAD2 axis

Cai

Guo

Wen

et al. 2022

J Exp Clin Cancer Res

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Background Integrin alpha 2 (ITGA2) has been recently reported to be an oncogene and to play crucial roles in tumor cell proliferation, invasion, metastasis, and angiogenesis. Our previous study showed that ITGA2 was overexpressed in pancreatic cancer and promoted its progression. However, the mechanism of ITGA2 overexpression and other mechanisms for promoting the progression of pancreatic cancer are still unclear. Methods The GEPIA database was used to confirm the expression of ITGA2 in pancreatic cancer. To verify the influence of ITGA2 and TGF-β on the morphological changes of pancreatic cancer and tumor cell progression, we conduct CCK8 test, plate cloning, flow cytometry experiments and animal experiments. Then we conduct Western blot, RT-qPCR to explore the relationship between ITGA2 and TGF-β, and then find the key molecules which can regulate them by immunoprecipitation, Western blot, RT-qPCR, CHIP, nuclear and cytoplasmic separation test. Results The results of the present study show that the abnormal activation of KRAS induced the overexpression of ITGA2 in pancreatic cancer. Moreover, ITGA2 expression significantly suppressed the activation of the TGF-β pathway. ITGA2 silencing enhanced the anti-pancreatic cancer proliferation and tumor growth effects of TGF-β. Mechanistically, ITGA2 expression suppressed the activation of the TGF-β pathway by inhibiting the SMAD2 expression transcriptionally. In addition, it interacted with and inhibited the nuclear translocation of TFCP2, which induced the SMAD2 expression as a transcription factor. Furthermore, TFCP2 also induced ITGA2 expression as a transcription factor, and the TFCP2 feedback regulated the ITGA2-TFCP2-SMAD2 pathway. Conclusions Taken together, these results indicated that ITGA2 expression could inhibit the activation of the TGF-β signaling pathway in pancreatic cancer via the TFCP2-SMAD2 axis. Therefore, ITGA2, by effectively enhancing the anti-cancer effects of TGF- β, might be a potential clinical therapeutic target for pancreatic cancer.

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“…Integrin alpha 2 (ITGA2) is an alpha subunit, which often combines with the beta subunit to form a heterodimer α2β1, and then participates in the adhesion of platelets and other cells to the extracellular matrix [40][41][42]. ITGA2 is highly expressed in many tumors, including pancreatic cancer, gastric cancer [43], liver cancer [44], prostate cancer [45], and breast cancer [46]. More studies suggested that ITGA2 might be closely related to tumor cell migration, invasion, and metastasis [47,48].…”

Section: Discussionmentioning

confidence: 99%

Identification of Candidate Biomarkers Related to Diagnosis and Prognosis of Thyroid Cancer via Transcriptomic Profile Analysis

Li¹,

Jiang²,

Feng³

et al. 2020

Preprint

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BackgroundThe detection rate of thyroid cancer (TC) has been continuously improved due to the development of detection technology. Compared with other cancers, the gene profile plays a more prominent role in the diagnosis and treatment of TC. MethodsFour datasets from Gene Expression Omnibus (GEO) was used to perform transcriptomic profile analysis. The overlapping differentially expressed genes (DEGs) were analyzed by R package “limma” and “RobustRankAggreg”. Then the hub genes, which had a higher degree, were identified by the protein-protein interaction (PPI) network. Gene expression analysis between the TC and normal data, the disease-free survival (DFS) analysis of TC patients from Gene Expression Profiling Interactive Analysis (GEPIA) database, function analysis, and immunohistochemistry (IHC) were performed to verify the importance of the hub genes.ResultsA total of 80 DEGs (34 upregulated and 46 downregulated) were identified. Then FN1, TIMP1, ITGA2, and KIT were considered hub genes, which had a high degree of connectivity in the PPI network. GEPIA identified that FN1, TIMP1, and ITGA2 were upregulated, and KIT was downregulated. Upregulations of FN1 expression (P=0.024) and ITGA2 expression (P=0.029) and downregulation of KIT expression (P=0.012) increased risks of decreased DFS for patients. IHC showed that the expression of FN1, TIMP1, and ITGA2 protein were upregulated, while the expression of KIT protein was downregulated in the TC clinical specimens. Besides, five hub genes were enriched in the PI3K-Akt signaling pathway and ECM-receptor interaction.ConclusionsIn summary, these hub genes were potential biomarkers of diagnosis and prognosis of TC.

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Is Integrin Subunit Alpha 2 Expression a Prognostic Factor for Liver Carcinoma? A Validation Experiment Based on Bioinformatics Analysis

Cited by 13 publications

References 20 publications

Identification of the potential biomarkers in patients with glioma: a weighted gene co-expression network analysis

Identification of the potential biomarkers in patients with glioma: a weighted gene co-expression network analysis

Overexpressed integrin alpha 2 inhibits the activation of the transforming growth factor β pathway in pancreatic cancer via the TFCP2-SMAD2 axis

Identification of Candidate Biomarkers Related to Diagnosis and Prognosis of Thyroid Cancer via Transcriptomic Profile Analysis

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