The expression of IL10RA in colorectal cancer and its correlation with the proliferation index and the clinical stage of the disease

Zadka, Łukasz; Kulus, Michał; Kurnol, Krzysztof; Piotrowska, Aleksandra; Glatzel-Plucińska, Natalia; Czuba, Magdalena; Nowak, Agnieszka; Chabowski, Mariusz; Janczak, Dariusz; Dzięgiel, Piotr

doi:10.1016/j.cyto.2018.04.030

Cited by 22 publications

(19 citation statements)

References 31 publications

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“…Moreover, the expression of IL10 in CRC tissues was significantly higher than the healthy intestinal endothelial cells. The correlation between the expression of IL10RA and the proliferation index or clinical stage of CRC confirms the importance of IL10RA in the pathogenesis of CRC (Zadka et al, 2018). In NK cell-based anticancer therapy, activation of autophagy in hypoxic cells operates through selective degradation of the pro-apoptotic NK-derived serine protease GZMB/granzyme B and by blocking the NK-mediated target cell apoptosis.…”

Section: Discussionmentioning

confidence: 55%

Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis

Meng

Liao

et al. 2020

PeerJ

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Background Colorectal cancer (CRC) is the third most common cancer in the world. The present study is aimed at identifying hub genes associated with the progression of CRC. Method The data of the patients with CRC were obtained from the Gene Expression Omnibus (GEO) database and assessed by weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses performed in R by WGCNA, several hub genes that regulate the mechanism of tumorigenesis in CRC were identified. Differentially expressed genes in the data sets GSE28000 and GSE42284 were used to construct a co-expression network for WGCNA. The yellow, black and blue modules associated with CRC level were filtered. Combining the co-expression network and the PPI network, 15 candidate hub genes were screened. Results After validation using the TCGA-COAD dataset, a total of 10 hub genes (MT1X, MT1G, MT2A, CXCL8, IL1B, CXCL5, CXCL11, IL10RA, GZMB, KIT) closely related to the progression of CRC were identified. The expressions of MT1G, CXCL8, IL1B, CXCL5, CXCL11 and GZMB in CRC tissues were higher than normal tissues (p-value < 0.05). The expressions of MT1X, MT2A, IL10RA and KIT in CRC tissues were lower than normal tissues (p-value < 0.05). Conclusions By combinating with a series of methods including GO enrichment analysis, KEGG pathway analysis, PPI network analysis and gene co-expression network analysis, we identified 10 hub genes that were associated with the progression of CRC.

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Section: Discussionmentioning

confidence: 55%

Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis

Meng

Liao

et al. 2020

PeerJ

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“…STAT3 regulates the inflammatory processes associated with the induction of metaplasia outbreaks, increases epithelial cell proliferation and appears to be responsible for the development and progression of some cancers [32]. In our previously published studies, the interleukin 10 receptor alpha subunit (IL10RA), IL-10 and phosphorylated STAT3 showed a statistically significant positive correlation with the cell proliferation antigen Ki67 in CRC [33], which seems to confirm the importance of Janus kinase and signal transducer and activation of transcription (JAK-STAT) signaling in the pathogenesis of some tumors ( Fig. 1A).…”

Section: The Most Common Inflammation-associated Risk Factors For Canmentioning

confidence: 92%

“…In oncological patients with CRC metastases to the liver who underwent surgical treatment, the postoperative range of CRP concentrations did not affect survival and was no good prognostic marker [246]. STAT3, which promotes cell proliferation of cancer cells, is one of the proteins that is activated in cellular signaling of immunosuppressive cytokines [33,247].…”

Section: Wound Healingmentioning

confidence: 99%

Modeling of the immune response in the pathogenesis of solid tumors and its prognostic significance

2020

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Background Tumor initiation and subsequent progression are usually long-term processes, spread over time and conditioned by diverse aspects. Many cancers develop on the basis of chronic inflammation; however, despite dozens of years of research, little is known about the factors triggering neoplastic transformation under these conditions. Molecular characterization of both pathogenetic states, i.e., similarities and differences between chronic inflammation and cancer, is also poorly defined. The secretory activity of tumor cells may change the immunophenotype of immune cells and modify the extracellular microenvironment, which allows the bypass of host defense mechanisms and seems to have diagnostic and prognostic value. The phenomenon of immunosuppression is also present during chronic inflammation, and the development of cancer, due to its duration, predisposes patients to the promotion of chronic inflammation. The aim of our work was to discuss the above issues based on the latest scientific insights. A theoretical mechanism of cancer immunosuppression is also proposed. Conclusions Development of solid tumors may occur both during acute and chronic phases of inflammation. Differences in the regulation of immune responses between precancerous states and the cancers resulting from them emphasize the importance of immunosuppressive factors in oncogenesis. Cancer cells may, through their secretory activity and extracellular transport mechanisms, enhance deterioration of the immune system which, in turn, may have prognostic implications.

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“…Interestingly, this miRNA might posttranscriptionally inhibit two tumor suppressor genes in CRC including IL10RA and AKR1B10. In 2018, Zadka et al reported that IL10RA is down-expressed in CRC tissues and shows negative correlation with the clinical stage and proliferation [21]. It is shown that AKR1B10 expression is significantly decreased in CRC samples and its down-expression correlates with decreased survival and poor prognosis of patients [22].…”

Section: Resultsmentioning

confidence: 99%

RNA Language in Colorectal Cancer Using an Integrative Bioinformatics Approach

Kadkhoda¹,

Darbeheshti²,

Rezaei³

et al. 2020

Preprint

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Background: Identification of competing endogenous RNAs (ceRNAs), especially circRNAs, have become new hotspots in cancer researches. Although, their roles and underlying mechanisms in colorectal cancer (CRC) development remain mostly unknown. The aim of this study was to integrate both coding and non-coding available microarray data in development of CRC coupled with bioinformatics analyses to understand a more inclusive pathobiologic map regarding their molecular interactions and functions. Methods: The microarray data were retrieved from the Gene Expression Omnibus (GEO) database and analyzed. Several bioinformatics tools and databases including CircInteractome, CSCD, miRTarbBase, TargetScan, miRmap, GEPIA, STRING, Enrichr, DAVID, and MCODE were applied for further elucidation. Principal component analysis (PCA) has seperatly run for four datasets. The dysregulated circRNA-miRNA-mRNA network in CRC was constructed by Cytoscape. In addition, co-expression and protein-protein interaction (PPI) networks were established based on differentially expressed (DE) protein coding genes in CRC. Results: PCA disclose colorectal tumor and normal tissuses could be distinguished not only by mRNAs expression profile, but also by both circRNAs and miRNAs expression profiles. We identified 14 DE mRNAs (commonly between two datasets), 85 DE miRNAs and 36 DE circRNAs in CRC tissues compared with normal tissues. Taking their potential interactions into account, a circRNA-miRNA-mRNA network was constructed. Then, according to ceRNA hypothesis, the axes with expression in the desired direction were extracted. Our results disclosed some DE circRNAs with potential oncogenic (circ_0014879) or tumor suppressive (circ_0001666 and circ_0000977) effects. Finally, PPI network suggests pivotal roles for DOCK2 and PTPRC dysregulation in progression of CRC, possibly by facilitating of tumor escape from immune surveillance. Conclusion: Current study proposes a novel regulatory network consisting of DE circRNAs, miRNAs and mRNAs in CRC development that in turn highlights the roles of DE circRNAs at the upstream of oncotranscriptomic cascade in CRC development, suggesting their potentiality to be utilized as both prognostic and therapeutic biomarker.

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The expression of IL10RA in colorectal cancer and its correlation with the proliferation index and the clinical stage of the disease

Cited by 22 publications

References 31 publications

Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis

Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis

Modeling of the immune response in the pathogenesis of solid tumors and its prognostic significance

RNA Language in Colorectal Cancer Using an Integrative Bioinformatics Approach

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