P53 potentiates PTEN-mediated inhibition of EGFR downstream signaling pathway by cetuximab in prostate cancer cells

Bouali, Sanae; Chrétien, Anne-Sophie; Ramacci, Carole; Rouyer, M.; Marchal, Sophie; T, Galenne; Becuwe, P.; Juin, Philippe; Merlin, J.L.

doi:10.1016/s1359-6349(08)71736-1

Cited by 2 publications

(2 citation statements)

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“…Among the 14 significantly enriched KEGG pathways, cCell cycle (Tosoian et al, 2017;Léon et al, 2018), DNA replication (Tosoian et al, 2017), Base excision repair (Flores-Morales et al, 2018;Oing et al, 2018;Tonon et al, 2019), Nucleotide excision repair (Castro et al, 2015;Nordström et al, 2016), and the p53 signaling pathway (Bouali et al, 2008;Suk-Hyun et al, 2012;Gao et al, 2014) were extensively reported to participate in aggressiveness, growth, and metastasis of PCa after RP. Therefore, the classifier was evidently able to capture important biological pathways and events related to PCa.…”

Section: Discussionmentioning

confidence: 99%

A Three-Gene Classifier Associated With MicroRNA-Mediated Regulation Predicts Prostate Cancer Recurrence After Radical Prostatectomy

Cheng

et al. 2020

Front. Genet.

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Background and Objective: After radical prostatectomy (RP), prostate cancer (PCa) patients may experience biochemical recurrence (BCR) and clinical recurrence, which remains a dominant issue in PCa treatment. The purpose of this study was to identify a protein-coding gene classifier associated with microRNA (miRNA)-mediated regulation to provide a comprehensive prognostic index to predict PCa recurrence after RP. Methods: Candidate classifiers were constructed using two machine-learning algorithms (a least absolute shrinkage and selector operation [LASSO]-based classifier and a decision tree-based classifier) based on a discovery cohort (n = 156) from The Cancer Genome Atlas (TCGA) database. After selecting the LASSO-based classifier based on the prediction accuracy, both an internal validation cohort (n = 333) and an external validation cohort (n = 100) were used to examined the classifier using survival analysis, timedependent receiver operating characteristic (ROC) curve analysis, and univariate and multivariate Cox proportional hazards regression analyses. Functional enrichment analysis of co-expressed genes was carried out to explore the underlying moleculer mechanisms of the genes included in the classifier. Results: We constructed a three-gene classifier that included FAM72B, GNE, and TRIM46, and we identified four upstream prognostic miRNAs (hsa-miR-133a-3p, hsa-miR-222-3p, hsa-miR-1301-3p, and hsa-miR-30c-2-3p). The classifier exhibited a remarkable ability (area under the curve [AUC] = 0.927) to distinguish PCa patients with high and low Gleason scores in the discovery cohort. Furthermore, it was significantly associated with clinical recurrence (p < 0.0001, log rank statistic = 20.7, AUC = 0.733) and could serve as an independent prognostic factor of recurrence-free survival (hazard ratio: 1.708, 95% CI: 1.180-2.472, p < 0.001). Additionally, it was a predictor of BCR according to BCR-free survival analysis (p = 0.0338, log rank statistic = 4.51).

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Section: Discussionmentioning

confidence: 99%

A Three-Gene Classifier Associated With MicroRNA-Mediated Regulation Predicts Prostate Cancer Recurrence After Radical Prostatectomy

Cheng

et al. 2020

Front. Genet.

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“…P53 is a key apoptotic regulator that is mutated in most kinds of human cancer [49] , [50] , [51] . Its inactivation, induced by a number of stress signals, including DNA damage, oxidative stress and activated oncogenes, always results in three major outputs: cell cycle arrest, cellular senescence or apoptosis [52] .…”

Section: Discussionmentioning

confidence: 99%

A Comparative Transcriptomic Analysis of Uveal Melanoma and Normal Uveal Melanocyte

Wan

Zhou

et al. 2011

PLoS ONE

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BackgroundUveal melanoma is the most common primary intraocular tumor in adults in western countries. It is associated with very severe visual morbidity and may lead to distant metastases even after successful treatment of the primary tumor. In order to gain better insight into molecular mechanisms related to tumorigenesis and metastasis of uveal melanoma, we used next-generation sequencing technology (SOLiD, Life Technologies) to acquire global transcriptome alteration between posterior uveal melanoma cells and normal uveal melanocyte.ResultsFrom mRNAs of the cultured uveal melanoma cells and normal uveal melanocytes, we annotated more than 3.7×107 and 2.7×107 sequencing tags based on human Ensembl databases, respectively. For detailed analysis, we chose 5155 well-annotated genes mainly involved in the MAPK signaling pathway, cell cycle, cell adhesion junction, apoptosis, and P53 signaling pathways as well as melanogenesis. In an effort to confirm the authenticity of our sequencing results, we validated twenty-one identically differentially expressed genes by using quantitative real time PCR from cultured cell lines of other posterior uveal melanoma cells and normal uveal melanocytes.ConclusionWe have identified a large number of potentially interesting genes for biological investigation of uveal melanoma. The expression profiling also provides useful resources for other functional genomic and transcriptome studies. These 21 potential genes could discriminate between uveal melanoma cells and normal uveal melanocyte, which may be indicative of tumorigenesis process. Our results further suggest that high-throughput sequencing technology provides a powerful tool to study mechanisms of tumogenesis in the molecular level.

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P53 potentiates PTEN-mediated inhibition of EGFR downstream signaling pathway by cetuximab in prostate cancer cells

Cited by 2 publications

References 0 publications

A Three-Gene Classifier Associated With MicroRNA-Mediated Regulation Predicts Prostate Cancer Recurrence After Radical Prostatectomy

A Three-Gene Classifier Associated With MicroRNA-Mediated Regulation Predicts Prostate Cancer Recurrence After Radical Prostatectomy

A Comparative Transcriptomic Analysis of Uveal Melanoma and Normal Uveal Melanocyte

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