Overexpression of MYB is associated with growth and malignant behavior of ovarian cancer cells

Miree, Orlandric; Srivastava, Sanjeev K.; Singh, Seema; Scalici, Jennifer; Carter, J.E.; Finan, M.A.; Jones, Nathaniel; Rocconi, Rodney P.; Singh, Ajay P.

doi:10.1016/j.ygyno.2018.04.143

Cited by 2 publications

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“…Previously,MYB is one of the proto-oncogenes, it has become a consensus that there is a relationship between MYB overexpression and poor prognosis of OC. Using the correlation between MYB and OC to evaluate the prognosis and explore potential therapeutic targets has attracted much attention [ 33 – 35 ]. But, the study found that MYB-77867-ES for OC prognosis is favorable AS event.…”

Section: Discussionmentioning

confidence: 99%

Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

et al. 2021

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Background Ovarian cancer(OC) is the gynecological tumor with the highest mortality rate, effective biomarkers are of great significance in improving its prognosis. In recent years, there have been many studies on alternative splicing (AS) events, and the role of AS events in tumor has become a focus of attention. Methods Data were downloaded from the TCGA database and Univariate Cox regression analysis was performed to determine AS events associated with OC prognosis.Eight prognostic models of OC were constructed in R package, and the accuracy of the models were evaluated by the time-dependent receiver operating characteristic (ROC) curves.Eight types of survival curves were drawn to evaluate the differences between the high and low risk groups.Independent prognostic factors of OC were analyzed by single factor independent analysis and multi-factor independent prognostic analysis.Again, Univariate Cox regression analysis was used to analyze the relationship between splicing factors(SF) and AS events, and Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis were performed on OS-related SFs to understand the pathways. Results Univariate Cox regression analysis showed that among the 15,278 genes, there were 31,286 overall survival (OS) related AS events, among which 1524 AS events were significantly correlated with OS. The area under the time-dependent receiver operating characteristic curve (AUC) of AT and ME were the largest and the RI was the smallest,which were 0.757 and 0.68 respectively. The constructed models have good value for the prognosis assessment of OC patients. Among the eight survival curves, AP was the most significant difference between the high and low risk groups, with a P value of 1.61e − 1.The results of single factor independent analysis and multi-factor independent prognostic analysis showed that risk score calculated by the model and age could be used as independent risk factors.According to univariate COX regression analysis,109 SFs were correlated with AS events and adjusted in two ways: positive and negative. Conclusions SFs and AS events can directly or indirectly affect the prognosis of OC patients. It is very important to find effective prognostic markers to improve the survival rate of OC.

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Section: Discussionmentioning

confidence: 99%

Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

et al. 2021

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“…In this study, we used data from TCGA database, combined with high-throughput sequencing technology and bioinformatics to analyze the relationship between AS, SF and the prognosis of OC.In addition, independent prognostic factors of OC, GO, KEGG analysis of pathways for prognostic related SFs were also explored.Consistent with other studies, our study shows that AS events and SFs play a role in OC, and many splicing events are associated with OC.With the increase of the sample size in this study, the number of AS events in OC was also 48049, with the highest number of ES type [15].After further treatment, the AS events of TSEN54, MYB, SERF1B, ZNF630 and AGO2 were most closely associated with the prognosis of OC, and they were all good prognostic factors.tRNA splicing endonuclease(TSEN) catalyz tRNA intron removal in eukaryotes,and TSEN54 is a TSEN is one of the core subunits.The gene mutation of TSEN54 mostly leads to nervous system lesions, most studied cause of pontocerebellar hypoplasia.There has been a lack of research on the relationship between OC [30][31][32].Previously,MYB is one of the proto-oncogenes, it has become a consensus that there is a relationship between MYB overexpression and poor prognosis of OC. Using the correlation between MYB and OC to evaluate the prognosis and explore potential therapeutic targets has attracted much attention [33][34][35].But,the study found that MYB-77867-ES for OC prognosis is favorable AS event. The results suggest that splicing may change the role of genes.AGO2 is a Protein Coding gene, which have effect on cervical cancer, breast cancer and other tumors [36][37][38].AGO2 fail in our study it happened happened AGO2-85285-ES is bene cial to the prognosis of OC, but in other studies, AGO2 can have opposite effects on the prognosis of OC through different pathways [39][40][41].Few studies have been done on SERF1B and ZNF630,we get SERF1B-72406-RI ZNF630-88949-AP close contact with OC, they may be effective prognostic biomarkers and therapeutic targets.Among the remaining results, there are many previous studies on CD44 gene.As a non-kinase transmembrane receptor,CD44 can be used as an effective biomarker to predict the prognosis of OC and negatively affect the outcome of OC [42].CD44 plays a multi-functional role, such as related to cancer stem cells and tumor-associated macrophages, leading to drug resistance of recurrent chemotherapy drugs in OC.…”

Section: Discussionmentioning

confidence: 99%

Systematic Analysis of the Relationship Between Ovarian Cancer Prognosis and Alternative Splicing

Zhang

Zou

Deng

et al. 2021

Preprint

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Background: Ovarian cancer(OC) is the gynecological tumor with the highest mortality rate, effective biomarkers are of great significance in improving its prognosis. In recent years, there have been many studies on alternative splicing (AS) events, and the role of AS events in tumor has become a focus of attention.Methods: Data were downloaded from the TCGA database and Univariate Cox regression analysis was performed to determine AS events associated with OC prognosis. Eight prognostic models of OC were constructed in R package, and the accuracy of the models were evaluated by the time-dependent receiver operating characteristic (ROC) curves. Eight types of survival curves were drawn to evaluate the differences between the high and low risk groups. Independent prognostic factors of OC were analyzed by single factor independent analysis and multi-factor independent prognostic analysis. Again, Univariate Cox regression analysis was used to analyze the relationship between splicing factors(SF) and AS events, and Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis were performed on OS-related SFs to understand the pathways.Results: Univariate Cox regression analysis showed that among the 15,278 genes, there were 31,286 overall survival (OS) related AS events, among which 1524 AS events were significantly correlated with OS. The area under the time-dependent receiver operating characteristic curve (AUC) of AT and ME were the largest and the RI was the smallest ,which were 0.757 and 0.68 respectively. The constructed models have good value for the prognosis assessment of OC patients. Among the eight survival curves, AP was the most significant difference between the high and low risk groups, with a P value of 1.61e−1.The results of single factor independent analysis and multi-factor independent prognostic analysis showed that risk score calculated by the model and age could be used as independent risk factors. According to univariate COX regression analysis ,109 SFs were correlated with AS events and adjusted in two ways: positive and negative.Conclusions: SFs and AS events can directly or indirectly affect the prognosis of OC patients. It is very important to find effective prognostic markers to improve the survival rate of OC.

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Overexpression of MYB is associated with growth and malignant behavior of ovarian cancer cells

Cited by 2 publications

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Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

Systematic analysis of the relationship between ovarian cancer prognosis and alternative splicing

Systematic Analysis of the Relationship Between Ovarian Cancer Prognosis and Alternative Splicing

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