Investigation of Two Wnt Signalling Pathway Single Nucleotide Polymorphisms in a Breast Cancer-Affected Australian Population

Gabrovska, Plamena; Smith, Robert A.; Haupt, Larisa M.; Griffiths, Lyn R.

doi:10.1375/twin.14.6.562

Cited by 11 publications

(7 citation statements)

References 20 publications

(30 reference statements)

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“…Overexpression of the calcineurin family of secretory integrin-binding proteins has been demonstrated to have a correlation with tumor cell adhesion, proliferation, invasion and migration 37 ,38. Furthermore, PPP3CA expression has been reported to be elevated in breast cancer 39, lung cancer 40, and prostate cancer 41.…”

Section: Discussionmentioning

confidence: 99%

Quantitative Proteomic Analysis and Evaluation of the Potential Prognostic Biomarkers in Cholangiocarcinoma

Tang¹,

Yang²,

Zhang³

et al. 2019

J. Cancer

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Background & Aims: Cholangiocarcinoma (CCA) patients have poor outcomes since the late diagnosis limits the benefits of surgery therapy and curative treatment options. The present study was designed to screen the biomarkers for CCA patients. Methods: Quantitative iTRAQ proteomic analysis was used to identify differentially expressed proteins between CCA and pericarcineous tissue. We examined the expression profile of PRDX2, BGN, LUM, and PPP3CA in CCA tissue using immunohistochemistry. We further investigated the correlation between PPP3CA expression and the survival of CCA patients (n=91). Results: 2,886 confidential proteins were identified by using the iTRAQ technique, 233 of which were differentially expressed. PRDX2, BGN, PPP3CA, and LUM were expressed in CCA tissue, whereas they were not expressed in choledocal cyst tissue except for LUM. PPP3CA was expressed in the cytoplasm of carcinoma cells in 22 cases (24.2%) of 91 CCA patients. Patients with PPP3CA-positive expression showed a significantly shorter survival period than did non-expressing patients ( P = 0.030). The univariate analysis showed that tumor size ( P = 0.002), vascular invasion ( P = 0.001), histological grading ( P = 0.011), and PPP3CA expression ( P = 0.033) were statistically significant risk factors affecting the prognosis of CCA patients. The multivariate analysis demonstrated PPP3CA expression ( P = 0.009) and vascular invasion ( P = 0.012) were statistically significant independent risk factors of CCA patients. Conclusions: The results suggested that the expression of PPP3CA in CCA patients is a new independent factor for poor prognosis and a useful prognostic predictor for patients with CCA.

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Section: Discussionmentioning

confidence: 99%

Quantitative Proteomic Analysis and Evaluation of the Potential Prognostic Biomarkers in Cholangiocarcinoma

Tang¹,

Yang²,

Zhang³

et al. 2019

J. Cancer

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“…As previously reported, PPP3CA is a target of miR-145 and thus be involved in caspase-dependent and caspase-independent cell death in urothelial cancer cells [ 43 ]. Also, PPP3CA has been shown to have a role in breast cancer, lung cancer, and Wilson’s disease [ 44 – 46 ]. The HYOU1 gene has been found to be upregulated in nasopharyngeal carcinoma and may act as a molecular biomarker for the progression and prognosis of this type of cancer [ 47 ].…”

Section: Discussionmentioning

confidence: 99%

Expression of microRNA-99a-3p in Prostate Cancer Based on Bioinformatics Data and Meta-Analysis of a Literature Review of 965 Cases

et al. 2018

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BackgroundmicroRNAs (miRNAs) have a role as biomarkers in human cancer. The aim of this study was to use bioinformatics data, and review of cases identified from the literature, to investigate the role of microRNA-99a-3p (miR-99a-3p) in prostate cancer, including the identification of its target genes and signaling pathways.Material/MethodsMeta-analysis from a literature review included 965 cases of prostate cancer. Bioinformatics databases interrogated for miR-99a-3p in prostate cancer included The Cancer Genome Atlas (TCGA), the Gene Expression Omnibus (GEO), and ArrayExpress. Twelve computational predictive algorithms were developed to integrate miR-99a-3p target gene prediction data. Bioinformatics analysis data from Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) network analysis were used investigate the possible pathways and target genes for miR-99a-3p in prostate cancer.ResultsTCGA data showed that miR-99a was down-regulated in prostate cancer when compared with normal prostate tissue. Receiver-operating characteristic (ROC) curve area under the curve (AUC) for miR-99a-3p was 0.660 (95% CI, 0.587–0.732) or a moderate level of discriminations. Pathway analysis showed that miR-99a-3p was associated with the Wnt and vascular endothelial growth factor (VEGF) signaling pathways. The PPP3CA and HYOU1 genes, selected from the PPI network, were highly expressed in prostate cancer tissue compared with normal prostate tissue, and negatively correlated with the expression of miR-99a-3p.ConclusionsIn prostate cancer, miR-99a-3p expression was associated with the Wnt and VEGF signaling pathways, which might inhibit the expression of PPP3CA or HYOU1.

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“…It is also involved in the stimulation of cell migration and metastasis in breast and lung cancers [54–56]. To date, MARK4 has been found to contribute to the development of hepatocellular carcinomas [57], gliomas [58], prostate cancer [59] and breast cancer [60]. However, no research on MARK4 has been performed for ovarian cancer, so further study is required regarding its potential involvement in the metastasis of ovarian carcinomas.…”

Section: Discussionmentioning

confidence: 99%

Genome-wide DNA copy number analysis in clonally expanded human ovarian cancer cells with distinct invasive/migratory capacities

Bai

Yang

et al. 2017

Oncotarget

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Ovarian cancer has the worst prognosis of any gynecological malignancy, and generally presents with metastasis at advanced stages. Copy number variation (CNV) frequently contributes to the alteration of oncogenic drivers. In this study, we sought to identify genetic targets in heterogeneous clones from human ovarian cancers cells. We used array-based technology to systematically assess all the genes with CNVs in cell models clonally expanded from A2780 and SKOV3 ovarian cancer cell lines with distinct highly and minimally invasive/migratory capacities. We found that copy number alterations differed between matched highly and minimally invasive/migratory subclones, differentially affecting specific functional processes including immune response processes, DNA damage repair, cell cycle and cell proliferation. We also identified seven genes as strong candidates, including DDB1, ERCC1, ERCC2, PRPF19, BCAT1, CDKN1B and MARK4, by integrating the above data with gene expression and clinical outcome data. Thus, by determining the molecular signatures of heterogeneous invasive/migratory ovarian cancer cells, we identified genes that could be specifically targeted for the treatment and prognosis of advanced ovarian cancers.

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Investigation of Two Wnt Signalling Pathway Single Nucleotide Polymorphisms in a Breast Cancer-Affected Australian Population

Cited by 11 publications

References 20 publications

Quantitative Proteomic Analysis and Evaluation of the Potential Prognostic Biomarkers in Cholangiocarcinoma

Quantitative Proteomic Analysis and Evaluation of the Potential Prognostic Biomarkers in Cholangiocarcinoma

Expression of microRNA-99a-3p in Prostate Cancer Based on Bioinformatics Data and Meta-Analysis of a Literature Review of 965 Cases

Genome-wide DNA copy number analysis in clonally expanded human ovarian cancer cells with distinct invasive/migratory capacities

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