Neuromedin U is upregulated by Snail at early stages of EMT in HT29 colon cancer cells

Przygodzka, Patrycja; Papiewska-Pająk, Izabela; Bogusz, Helena; Kryczka, Jakub; Sobierajska, Katarzyna; Kowalska, M. Anna; Boncela, Joanna

doi:10.1016/j.bbagen.2016.07.012

Cited by 26 publications

(50 citation statements)

References 65 publications

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“…Moreover, studies have demonstrated that overexpression of NMU is also produced in HER2overexpressing breast cancer, and overexpression of NMU in breast cancer is linked with reduced prognosis in sufferers (Shetzline et al, 2004;Wu et al, 2007). Similar reports have been reported in the study of clear cell renal cell carcinoma and endometrial carcinoma (Ketterer et al, 2009;Przygodzka et al, 2016;Zhang et al, 2019). CDKN1C is a cancerous lump restrainer gene, which is down-regulated in studies related to gastric cancer (Shin et al, 2000), bladder cancer (Oya and Schulz, 2000), pancreatic cancer (Sato et al, 2005), lung cancer (Sun et al, 2017), and breast cancer (Qiu et al, 2018), and low expression points are connected with reduced prediction in sufferers.…”

Section: Discussionsupporting

confidence: 70%

Systems Biology Integration and Screening of Reliable Prognostic Markers to Create Synergies in the Control of Lung Cancer Patients

Kaushik

Mehmood

Wei

et al. 2020

Front. Mol. Biosci.

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This study aims to achieve a clearer and stronger understanding of all the mechanisms involved in the occurrence as well as in the progression of lung cancer along with discovering trustworthy prognostic markers. We combined four gene expression profiles (GSE19188, GSE19804, GSE101929, and GSE18842) from the GEO database and screened the commonly differentially expressed genes (CDEGs). We performed differentially expressed group analysis on CDEGs, alteration and mutational analysis, and expression level verification of core differential genes. Systems biology discoveries in our examination are predictable with past reports. Curiously, our examination revealed that screened biomarker adjustments, for the most part, coexist in lung cancer. After screening 952 CDEGs, we found that the up-regulation of neuromedin U (NMU) and GTSE1 in the case of lung cancer is related to poor prognosis. On the other hand, FOS CDKN1C expression is associated with poor prognosis and is responsible for the down-regulation of CDKN1C and FOS. Changes in these qualities are on free pathways to lung cancer and are not usually of combined quality variety. Even though biomarkers were related to both survival occasions in our examination, it gives us another point of view while playing out the investigation of hereditary changes and clinical highlights employing information mining. Based on our results, we found potential and prospective clinical applications in GTSE1, NMU, FOS, and CDKN1C to act as prognostic markers in case of lung cancer.

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Section: Discussionsupporting

confidence: 70%

Systems Biology Integration and Screening of Reliable Prognostic Markers to Create Synergies in the Control of Lung Cancer Patients

Kaushik

Mehmood

Wei

et al. 2020

Front. Mol. Biosci.

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“…In addition, studies have shown that overexpression of NMU is also produced in HER2 overexpressing breast cancer, and overexpression of NMU in breast cancer is associated with poor prognosis in patients [24,25]. Not only that, but similar reports have been reported in the study of Clear cell renal cell carcinoma and endometrial carcinoma [26][27][28]. CDKN1C is a tumor suppressor gene, which is down-regulated in studies related to gastric cancer [29], bladder cancer [30], pancreatic cancer [31], lung cancer [32] and breast cancer [33], and low expression levels are associated with poor prognosis in patients.…”

Section: Gepia Analysismentioning

confidence: 58%

Screening prognostic markers for non-small cell lung cancer based on data mining and bioinformatics analysis

Han¹,

Aman²,

Wei³

et al. 2020

Preprint

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Background At present, non-small cell lung cancer has a high morbidity and mortality, and the recurrence and metastasis situation is serious. It is impossible to accurately predict the prognosis of cancer patients clinically. Biomarker is a kind of biomolecule with wide application prospects, and its potential in cancer prognosis is gradually revealed, and it is expected to be applied clinically. Results We integrated four gene expression profiles (GSE19188, GSE19804, GSE101929 and GSE18842) from the GEO database and screened the commonly differentially expressed genes using the GEO2R online tool. We screened 952 commonly differentially expressed genes. Gene ontology analysis showed that CDEGs were mainly enriched in biological processes such as cell adherin, angiogenesis and positive regulation of angiogenesis, and KEGG pathways such as ECM-receptor interaction and cell adherin molecules (CAMs). Up-regulation of G2 and S phase-expressed protein 1(GTSE1) expression is associated with poor prognosis of lung adenocarcinoma(LADE) and lung squamous cell carcinoma(LUSC). Up-regulation of Neuromedin-U(NMU) expression, down-regulation of Proto-oncogene c-Fos(FOS) and Cyclin-dependent kinase inhibitor 1C(CDKN1C) is only associated with poor prognosis of LADE. Conclusions We believe that GTSE1, NMU, FOS, and CDKN1C have potential application value as prognostic markers for lung adenocarcinoma, and are of great significance for lung adeno carcinoma efficacy evaluation and relapse monitoring. At the same time, GTSE1 may also be used as a new target for cancer treatment New ways.

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“…NMU has been regarded to have promoting effect on the generation of a biologically active neuropeptide which serves a role in pain, stress immune-mediated inflammatory diseases and feeding regulation; the gene has been reported to exhibit early alterations associated with cancer ( 45 ). NMU was observed to be the second most upregulated gene in HT29 colon cancer cells in a recent study ( 46 ). The FOS gene family consists of 4 members: FOS, FosB proto-oncogene, AP-1 transcription factor subunit, FOS like 1, AP-1 transcription factor subunit, and FOS like 2, AP-1 transcription factor subunit; they encode leucine zipper proteins that are able to dimerize with proteins of the JUN family, thereby forming the transcription factor complex AP-1.…”

Section: Discussionmentioning

confidence: 94%

Tetraspanin family identified as the central genes detected in gastric cancer using bioinformatics analysis

Sun

Liu

et al. 2018

Mol Med Report

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Gastric cancer has become a serious disease in the past decade. It has the second highest mortality rate among the four most common cancer types, leading to ~700,000 mortalities annually. Previous studies have attempted to elucidate the underlying biological mechanisms of gastric cancer. The present study aimed to obtain useful biomarkers and to improve the understanding of gastric cancer mechanisms at the genetic level. The present study used bioinformatics analysis to identify 1,829 differentially expressed genes (DEGs) which were obtained from the GSE54129 dataset. Using protein-protein interaction information from the Search Tool for the Retrieval of Interacting Genes database, disease modules were constructed for gastric cancer using Cytoscape software. In the Gene Ontology analysis of biology processes, upregulated genes were significantly enriched in ‘extracellular matrix organization’, ‘cell adhesion’ and ‘inflammatory response’, whereas downregulated DEGs were significantly enriched in ‘xenobiotic metabolic process’, ‘oxidation-reduction process’ and ‘steroid metabolic process’. During Kyoto Encyclopedia of Genes and Genomes analysis, upregulated DEGs were significantly enriched in ‘extracellular matrix-receptor interaction’, ‘focal adhesion’ and ‘PI3K-Akt signaling pathway’, whereas the downregulated DEGs were significantly enriched in ‘chemical carcinogenesis’, ‘metabolism of xenobiotics by cytochrome P450’ and ‘peroxisome’. The present study additionally identified 10 hub genes from the DEGs: Tumor protein p53 (TP53), C-X-C motif chemokine ligand 8 (CXCL8), tetraspanin 4 (TSPAN4), lysophosphatidic acid receptor 2 (LPAR2), adenylate cyclase 3 (ADCY3), phosphoinositide-3-kinase regulatory subunit 1 (PIK3R1), neuromedin U (NMU), C-X-C motif chemokine ligand (CXCL12), fos proto-oncogene, AP-1 transcription factor subunit (FOS) and sphingosine-1-phosphate receptor 1 (S1PR1), which have high degrees with other DEGs. The survival analysis revealed that the high expression of ADCY3, LPAR2, S1PR1, TP53 and TSPAN4 was associated with a lower survival rate, whereas high expression of CXCL8, FOS, NMU and PIK3R1 was associated with a higher survival rate. No significant association was identified between CXCL12 and survival rate. Additionally, TSPAN1 and TSPAN8 appeared in the top 100 DEGs. Finally, it was observed that 4 hub genes were highly expressed in gastric cancer tissue compared with para-carcinoma tissue in the 12 patients; the increased TSPAN4 was significant (>5-fold). Tetraspanin family genes may be novel biomarkers of gastric cancer. The findings of the present study may improve the understanding of the molecular mechanisms underlying the development of gastric cancer.

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Neuromedin U is upregulated by Snail at early stages of EMT in HT29 colon cancer cells

Cited by 26 publications

References 65 publications

Systems Biology Integration and Screening of Reliable Prognostic Markers to Create Synergies in the Control of Lung Cancer Patients

Systems Biology Integration and Screening of Reliable Prognostic Markers to Create Synergies in the Control of Lung Cancer Patients

Screening prognostic markers for non-small cell lung cancer based on data mining and bioinformatics analysis

Tetraspanin family identified as the central genes detected in gastric cancer using bioinformatics analysis

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