Two precision medicine predictive tools for six malignant solid tumors: from gene-based research to clinical application

Zhang, Zhiqiao; He, Tingshan; Huang, Liwen; Ouyang, Yanling; Li, Jing; Huang, Yiyan; Wang, Peng; Ding, Jianqiang

doi:10.1186/s12967-019-02151-8

Cited by 20 publications

(15 citation statements)

References 37 publications

(35 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Association had also been detected among markers of dendritic cells and PDIA4, which suggested us the potential functions of PDIA4 in the process of antigen presentation and immune surveillance. Consistently, our PPI analysis of PDIA4 indicated that the major proteins related to PDIA4 are members of heat shock proteins or endoplasmic reticulum proteins which had also been reported as tumor promoting in various cancers 21,[37][38][39][40] .…”

Section: Discussionsupporting

confidence: 67%

PDIA4 correlates with poor prognosis and is a potential biomarker in glioma

Li¹,

Liu²,

Xiao³

et al.

Authorea

View full text Add to dashboard Cite

Background: Gliomas, characterized by aggressiveness and invasiveness, remain incurable after conventional therapies. The molecular mechanisms driving the progression and maintenance of glioma are still poorly understood. Methods: PDIA4 expression was analyzed via Gene Expression Profiling Interactive Analysis (GEPIA) which data were from TCGA and GTEx databases. We estimated the prognostic value of PDIA4 using Kaplan-Meier survival analysis and the Cox proportional hazard model. The functional enrichment analysis was done by using cluster Profiler package in R language, including gene ontology (GO) analysis comprised of cellular component (CC), molecular function (MF), and biological process (BP), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. In addition, correlation between PDIA4 and immunity were analyzed by Protein-protein interaction (PPI) analysis, RNA extraction and Real-time RT-PCR. Results: In this study, we identified PDIA4 was highly expressed in gliomas and closely correlated with poor prognosis. The association with IDH1 and different patterns of gliomas also indicates the potential biological processes that PDIA4 involves in the development of tumor. Mechanistically, PDIA4 interacts with multiple immunological components to promote an immunosuppressive tumor microenvironment (TME). Conclusions: Our results confirm PDIA4 is an efficient biomarker of gliomas, with implications for prognosis and therapeutic strategies.

show abstract

Section: Discussionsupporting

confidence: 67%

PDIA4 correlates with poor prognosis and is a potential biomarker in glioma

Li¹,

Liu²,

Xiao³

et al.

Authorea

View full text Add to dashboard Cite

show abstract

“…Consistently, our PPI analysis of PDIA4 indicated that the major proteins related to PDIA4 are members of heat shock proteins or endoplasmic reticulum proteins, which have also been reported to be tumor promoting in various cancers. 21,[37][38][39][40] Next, our phenotypic experiments showed that downregulation of PDIA4 significantly inhibited the proliferation of glioma cells, indicating that pharmacological inhibition of PDIA4 could be regarded as a novel therapeutic target against glioma.…”

Section: Discussionmentioning

confidence: 89%

PDIA4 Correlates with Poor Prognosis and is a Potential Biomarker in Glioma

Li¹,

Liu²,

Xiao³

et al. 2021

OTT

View full text Add to dashboard Cite

Purpose: Gliomas, characterized by aggressiveness and invasiveness, remain incurable after conventional therapies. The molecular mechanisms driving the progression and maintenance of glioma are still poorly understood. Methods: The TCGA and CGGA databases were chosen for bioinformatics analysis. Gene expression profiling interactive analysis (GEPIA) was performed for differential analysis. The Kaplan-Meier method was chosen for survival analysis. Analysis of stromal and immune infiltration was performed using the ESTIMATE algorithm and xCell package. qPCR and Western blotting were performed to measure the expression of PDIA4 at the mRNA and protein levels. IHC was performed to detect the expression of PDIA4 in glioma tissues. The viability of glioma cells was evaluated by the CCK8 assay. Results: In this study, we identified high PDIA4 expression in gliomas that correlated with poor prognosis. The association between IDH1 and different glioma patterns also indicated the potential biological role of PDIA4 in tumor development. Mechanistically, PDIA4 interacted with multiple immunological components to promote an immunosuppressive tumor microenvironment (TME). Knockdown of PDIA4 significantly impaired the proliferation of GBM cells. Conclusion:Our results confirm that PDIA4 is an efficient biomarker of gliomas, with clinical implications for prognosis and therapeutic strategies.

show abstract

“…Efforts spent in modeling ceRNA interactions and in exploring their most permissive molecular environments [ 195 ] had the advantage of having contributed to the study and knowledge of the molecules stoichiometry balance inside the cells and can further improve precision medicine associated with the other most well known complex regulatory circuits (proteomics, metabolomics and more general omics ) [ 196 , 197 ].…”

Section: Resultsmentioning

confidence: 99%

Competing Endogenous RNAs, Non-Coding RNAs and Diseases: An Intertwined Story

Ala

2020

Cells

102

View full text Add to dashboard Cite

MicroRNAs (miRNAs), a class of small non-coding RNA molecules, are responsible for RNA silencing and post-transcriptional regulation of gene expression. They can mediate a fine-tuned crosstalk among coding and non-coding RNA molecules sharing miRNA response elements (MREs). In a suitable environment, both coding and non-coding RNA molecules can be targeted by the same miRNAs and can indirectly regulate each other by competing for them. These RNAs, otherwise known as competing endogenous RNAs (ceRNAs), lead to an additional post-transcriptional regulatory layer, where non-coding RNAs can find new significance. The miRNA-mediated interplay among different types of RNA molecules has been observed in many different contexts. The analyses of ceRNA networks in cancer and other pathologies, as well as in other physiological conditions, provide new opportunities for interpreting omics data for the field of personalized medicine. The development of novel computational tools, providing putative predictions of ceRNA interactions, is a rapidly growing field of interest. In this review, I discuss and present the current knowledge of the ceRNA mechanism and its implications in a broad spectrum of different pathologies, such as cardiovascular or autoimmune diseases, cancers and neurodegenerative disorders.

show abstract

Two precision medicine predictive tools for six malignant solid tumors: from gene-based research to clinical application

Cited by 20 publications

References 37 publications

PDIA4 correlates with poor prognosis and is a potential biomarker in glioma

PDIA4 correlates with poor prognosis and is a potential biomarker in glioma

PDIA4 Correlates with Poor Prognosis and is a Potential Biomarker in Glioma

Competing Endogenous RNAs, Non-Coding RNAs and Diseases: An Intertwined Story

Contact Info

Product

Resources

About