scholarly journals LTF Regulates the Immune Microenvironment of Prostate Cancer Through JAK/STAT3 Pathway

2021 ◽  
Vol 11 ◽  
Author(s):  
Qi Zhao ◽  
Yingying Cheng ◽  
Ying Xiong
Keyword(s):  
Prostate Cancer ◽  
Core Gene ◽  
Janus Kinase ◽  
Gene Set Enrichment Analysis ◽  
Mutation Load ◽  
Immune Microenvironment ◽  
Stat3 Pathway ◽  
Gm Csf ◽  
The Core ◽  
Gene And Protein Expression

BackgroundThe study of the immune microenvironment in prostate cancer (PRAD) has brought new opportunities for the current traditional treatment regimens. Therefore, our goal is to develop a universal immunodiagnostic marker to improve patient survival.MethodsBioinformatics analysis: We collected 591 samples from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts and evaluated the abundance and distribution of immune cell members in the PRAD expression profile matrix in the mixed cell population by CIBERSORT, ESTIMATE, single-sample gene set enrichment analysis (ssGSEA), and other methods. The target genes related to PRAD immune microenvironment and tumor mutation load were obtained by overlap analysis and verified by pan-cancer analysis. Cell experiment: The cell transfection scheme was designed, and the experiment was divided into three groups: overexpressing lactoferrin (LTF) group, empty plasmid group, and control group. After obtaining cells in each group, the gene and protein expression levels of LTF and signal transduction of signal transducer and activator of transcription 3 (STAT3) and granulocyte-macrophage colony-stimulating factor (GM-CSF) in the above three groups were detected by real-time PCR and Western blot, respectively. Finally, the level of GM-CSF secretion in the three groups was detected by ELISA.ResultsMacrophages, resting mast cells, and plasma cells play an important role in PRAD immune microenvironment. In addition, high tumor mutation load [tumor mutational burden (TMB)] was positively correlated with lymph node metastasis in patients with PRAD. As the core gene of the PRAD immune microenvironment, the low expression of LTF in PRAD promotes the occurrence of immunodeficiency, PRAD, and the enrichment of the Janus kinase (JAK)/STAT3 signal pathway. Through cell experiments, it was found that the content of LTF mRNA and protein increased significantly, while the content of STAT3 and GM-CSF mRNA and protein decreased significantly in the overexpressed LTF group. The level of GM-CSF in the supernatant of cell culture was significantly decreased in the overexpression group of LTF.ConclusionThe core gene we proposed is one of the most promising biomarkers to improve the overall survival rate of PRAD and provides an important theoretical basis for the study of the mechanism of the LTF-mediated JAK/STAT3 pathway in PRAD.

scholarly journals Development and Validation of an Immune Microenvironment Based Prognostic Signature and Signal Pathways in Prostate Cancer

2020 ◽  
Author(s):  
Qi Zhao ◽  
Yingying Cheng ◽  
Yujie Ren ◽  
Xianfa Li ◽  
Ying Xiong
Keyword(s):  
Prostate Cancer ◽  
Survival Rate ◽  
Target Gene ◽  
Core Gene ◽  
Signal Pathways ◽  
Primary Immune Deficiency ◽  
Prognostic Signature ◽  
Immune Microenvironment ◽  
Gm Csf ◽  
Stat Pathway

Abstract BackgroundThe study of the PCa immune microenvironment has brought new opportunities for the clinical diagnosis and treatment of PCa, but the current study has failed to obtain satisfactory results. We aim to develop a generalized, individualized immune prognostic signature that can improve the survival rate of patients.MethodsWe collected a total of 591 sample data from the TCGA and GEO cohorts, and evaluated the abundance and distribution of immune cell members in the mixed cell population in the gene expression matrix by CIBERSORT, ESTIMATE, ssGSEA, and other methods. Calculate the TMB value of the mutant gene to evaluate the reliability of PCa for immunotherapy. Besides, the genes related to the immune microenvironment and mutation load of PCa are obtained, and the target genes are obtained by the intersection with the immune-related genes in the ImmPort database. And perform pan-cancer analysis of the target gene to evaluate the immunological commonality and biological pathways in a variety of cancers. Finally, a Western blot experiment was used to explore the mechanism of the target gene in PCa immune microenvironment.ResultsWe found that M0, M2, and Mast cell sresting differed significantly between prostate cancer and normal tissue and that patients with low plasma cell abundance were more likely to develop lymph node metastasis. LTF, as a core gene, is closely related to changes in the immune microenvironment of PCa, and its low expression in tumors promotes primary immune deficiency, cancer development, and enrichment in the JAK/STAT signaling pathway. Cell experiments found that LTF overexpression reduces tumor-derived GM-CSF secretion by inhibiting JAK/STAT pathway, achieving the purpose of regulating tumor immune microenvironment and inhibiting PCa cell proliferation and migration.ConclusionsThe proposed clinical-immune signature and core gene is the most promising biomarkers for improving the overall survival rate of PCa. It has been verified that overexpression of LTF reduces the secretion of tumor-derived GM-CSF by inhibiting the JAK/STAT pathway.

scholarly journals Development and Validation of an Immune Microenvironment Based Prognostic Signature and Signal Pathways in Prostate Cancer

2020 ◽  
Author(s):  
Qi Zhao ◽  
Yingying Cheng ◽  
Yujie Ren ◽  
Xianfa Li ◽  
Ying Xiong
Keyword(s):  
Prostate Cancer ◽  
Survival Rate ◽  
Target Gene ◽  
Core Gene ◽  
Signal Pathways ◽  
Primary Immune Deficiency ◽  
Prognostic Signature ◽  
Immune Microenvironment ◽  
Gm Csf ◽  
Stat Pathway

Abstract Background: The study of the PCa immune microenvironment has brought new opportunities for the clinical diagnosis and treatment of PCa, but the current study has failed to obtain satisfactory results. We aim to develop a generalized, individualized immune prognostic signature that can improve the survival rate of patients.Methods: We collected a total of 591 sample data from the TCGA and GEO cohorts, and evaluated the abundance and distribution of immune cell members in the mixed cell population in the gene expression matrix by CIBERSORT, ESTIMATE, ssGSEA, and other methods. Calculate the TMB value of the mutant gene to evaluate the reliability of PCa for immunotherapy. Besides, the genes related to the immune microenvironment and mutation load of PCa are obtained, and the target genes are obtained by the intersection with the immune-related genes in the ImmPort database. And perform pan-cancer analysis of the target gene to evaluate the immunological commonality and biological pathways in a variety of cancers. Finally, a Western blot experiment was used to explore the mechanism of the target gene in PCa immune microenvironment.Results: We found that M0, M2, and Mast cell sresting differed significantly between prostate cancer and normal tissue and that patients with low plasma cell abundance were more likely to develop lymph node metastasis. LTF, as a core gene, is closely related to changes in the immune microenvironment of PCa, and its low expression in tumors promotes primary immune deficiency, cancer development, and enrichment in the JAK/STAT signaling pathway. Cell experiments found that LTF overexpression reduces tumor-derived GM-CSF secretion by inhibiting JAK/STAT pathway, achieving the purpose of regulating tumor immune microenvironment and inhibiting PCa cell proliferation and migration.Conclusions: The proposed clinical-immune signature and core gene is the most promising biomarkers for improving the overall survival rate of PCa. It has been verified that overexpression of LTF reduces the secretion of tumor-derived GM-CSF by inhibiting the JAK/STAT pathway.

scholarly journals Identification of HMMR as a prognostic biomarker for patients with lung adenocarcinoma via integrated bioinformatics analysis

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12624
Author(s):  
Zhaodong Li ◽  
Hongtian Fei ◽  
Siyu Lei ◽  
Fengtong Hao ◽  
Lijie Yang ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Lung Adenocarcinoma ◽  
Expression Analysis ◽  
Prognostic Biomarker ◽  
Enrichment Analysis ◽  
Core Gene ◽  
Potential Functions ◽  
Gene Set Enrichment Analysis ◽  
Cox Regression Analysis ◽  
The Core

Background Lung adenocarcinoma (LUAD) is the most prevalent tumor in lung carcinoma cases and threatens human life seriously worldwide. Here we attempt to identify a prognostic biomarker and potential therapeutic target for LUAD patients. Methods Differentially expressed genes (DEGs) shared by GSE18842, GSE75037, GSE101929 and GSE19188 profiles were determined and used for protein-protein interaction analysis, enrichment analysis and clinical correlation analysis to search for the core gene, whose expression was further validated in multiple databases and LUAD cells (A549 and PC-9) by quantitative real-time PCR (qRT-PCR) and western blot analyses. Its prognostic value was estimated using the Kaplan-Meier method, meta-analysis and Cox regression analysis based on the Cancer Genome Atlas (TCGA) dataset and co-expression analysis was conducted using the Oncomine database. Gene Set Enrichment Analysis (GSEA) was performed to illuminate the potential functions of the core gene. Results A total of 115 shared DEGs were found, of which 24 DEGs were identified as candidate hub genes with potential functions associated with cell cycle and FOXM1 transcription factor network. Among these candidates, HMMR was identified as the core gene, which was highly expressed in LUAD as verified by multiple datasets and cell samples. Besides, high HMMR expression was found to independently predict poor survival in patients with LUAD. Co-expression analysis showed that HMMR was closely related to FOXM1 and was mainly involved in cell cycle as suggested by GSEA. Conclusion HMMR might be served as an independent prognostic biomarker for LUAD patients, which needs further validation in subsequent studies.

scholarly journals LINC00893 Inhibits The Progression of Prostate Cancer Through miR-3173-5p/SOCS3/JAK2/STAT3 Pathway

2021 ◽  
Author(s):  
Chuigong Yu ◽  
Yu Fan ◽  
Yu Zhang ◽  
Lupeng Liu ◽  
Gang Guo
Keyword(s):  
Prostate Cancer ◽  
Signaling Pathway ◽  
Cell Lines ◽  
Janus Kinase ◽  
Luciferase Reporter ◽  
Mesenchymal Transition ◽  
Stat3 Pathway ◽  
Stat3 Signaling ◽  
Stat3 Signaling Pathway

Abstract Background: Prostate cancer (PCa) is one of the most common malignant tumors in the male urinary system. In recent years, the morbidity and mortality of PCa have been increasing due to the limited effects of existing treatment strategies. Long non-coding RNA (lncRNA) LINC00893 inhibits the proliferation and metastasis of papillary thyroid cancer (PTC) cells, but its role in PCa has not been reported. Our study aims to clarify the role and underlying mechanism of LINC00893 in regulating the progression of PCa.Methods: We analyzed LINC00893 expression through TCGA database. We also collected 66 paires of PCa tissues and matched para-cancerous tissues as well as cell lines and assessed LINC00893 expression. Subsequently, we conducted gain-of-function assays to confirm the role of LINC00893 in PCa. CCK-8, EdU, colony information and transwell assays were implemented to detect cell proliferation, colony formation and metastasis abilities, respectively. RT-qPCR and western blot assays were used to quantify the expression of mRNA and protein. Dual-luciferase reporter, RNA-binding protein immunoprecipitation (RIP) and RNA pull down assays were conducted to evaluate the interaction of molecules. Spearman correlation coefficient analysis was conducted to detect the correlation between molecules.Results: We found that the LINC00893 expression in PCa tissues and cell lines was upregulated compared with matched controls, and patients with low expression of LINC00893 suffered a low overall survival rate. Overexpression of LINC00893 hindered the proliferation, epithelial-mesenchymal transition (EMT) as well as metastasis of PCa cells in vitro and in vivo. In terms of mechanism, suppressor of cytokine signaling 3 (SOCS3)/Janus Kinase 2 (JAK2)/signal transducer and activator of transcription 3 (STAT3) signaling pathway occupied a central position in the regulation of PCa progression by LINC00893. LINC00893 weakened the inhibition role of miR-3173-5p on SOCS3 expression through functioning as a miR-3173-5p sponge, which inhibited the JAK2/STAT3 signaling pathway. Conclusions: LINC00893 suppresses the progression of prostate cancer through miR-3173-5p/SOCS3/JAK2/STAT3 pathway. our data uncovers a novel mechanism by which LINC00893 hinders the progression of PCa, which enriches the molecular network of LINC00893 regulating the PCa progression and laies a theoretical foundation for PCa targeted therapy.

scholarly journals Identification of crucial genes and pathways associated with prostate cancer in multiple databases

2021 ◽  
Vol 49 (6) ◽  
pp. 030006052110166
Author(s):  
Hanxu Guo ◽  
Zhichao Zhang ◽  
Yuhang Wang ◽  
Sheng Xue
Keyword(s):  
Gene Expression ◽  
Prostate Cancer ◽  
Expression Profiles ◽  
Malignant Neoplasm ◽  
Gene Expression Profiles ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
The Core ◽  
Ppi Networks ◽  
Core Genes

Objective Prostate cancer (PCa) is a malignant neoplasm of the urinary system. This study aimed to use bioinformatics to screen for core genes and biological pathways related to PCa. Methods The GSE5957 gene expression profiles were obtained from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the DEGs were constructed by R language. Furthermore, protein–protein interaction (PPI) networks were generated to predict core genes. The expression levels of core genes were examined in the Tumor Immune Estimation Resource (TIMER) and Oncomine databases. The cBioPortal tool was used to study the co-expression and prognostic factors of the core genes. Finally, the core genes of signaling pathways were determined using gene set enrichment analysis (GSEA). Results Overall, 874 DEGs were identified. Hierarchical clustering analysis revealed that these 24 core genes have significant association with carcinogenesis and development . LONRF1, CDK1, RPS18, GNB2L1 ( RACK1), RPL30, and SEC61A1 directly related to the recurrence and prognosis of PCa. Conclusions This study identified the core genes and pathways in PCa and provides candidate targets for diagnosis, prognosis, and treatment.

scholarly journals High copy number variations, particular transcription factors, and low immunity contribute to the stemness of prostate cancer cells

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Zao Dai ◽  
Ping Liu
Keyword(s):  
Prostate Cancer ◽  
Transcription Factors ◽  
Copy Number Variation ◽  
Cancer Cells ◽  
Immune Cells ◽  
Copy Number ◽  
Tumor Metastasis ◽  
Prostate Cancer Cells ◽  
Immune Microenvironment ◽  
Number Variation

Abstract Background Tumor metastasis is the main cause of death of cancer patients, and cancer stem cells (CSCs) is the basis of tumor metastasis. However, systematic analysis of the stemness of prostate cancer cells is still not abundant. In this study, we explore the effective factors related to the stemness of prostate cancer cells by comprehensively mining the multi-omics data from TCGA database. Methods Based on the prostate cancer transcriptome data in TCGA, gene expression modules that strongly relate to the stemness of prostate cancer cells are obtained with WGCNA and stemness scores. Copy number variation of stemness genes of prostate cancer is calculated and the difference of transcription factors between prostate cancer and normal tissues is evaluated by using CNV (copy number variation) data and ATAC-seq data. The protein interaction network of stemness genes in prostate cancer is constructed using the STRING database. Meanwhile, the correlation between stemness genes of prostate cancer and immune cells is analyzed. Results Prostate cancer with higher Gleason grade possesses higher cell stemness. The gene set highly related to prostate cancer stemness has higher CNV in prostate cancer samples than that in normal samples. Although the transcription factors of stemness genes have similar expressions, they have different contributions between normal and prostate cancer tissues; and particular transcription factors enhance the stemness of prostate cancer, such as PUM1, CLOCK, SP1, TCF12, and so on. In addition, the lower tumor immune microenvironment is conducive to the stemness of prostate cancer. CD8 + T cells and M1 macrophages may play more important role in the stemness of prostate cancer than other immune cells in the tumor microenvironment. Finally, EZH2 is found to play a central role in stemness genes and is negatively correlated with resting mast cells and positively correlated with activated memory CD4 + T cells. Conclusions Based on the systematic and combined analysis of multi-omics data, we find that high copy number variation, specific transcription factors, and low immune microenvironment jointly contribute to the stemness of prostate cancer cells. These findings may provide us new clues and directions for the future research on stemness of prostate cancer.

Granulocyte-macrophage colony-stimulating factor preferentially activates the 94-kD STAT5A and an 80-kD STAT5A isoform in human peripheral blood monocytes

Blood ◽  
1996 ◽  
Vol 88 (4) ◽  
pp. 1206-1214 ◽  
Author(s):  
RL Rosen ◽  
KD Winestock ◽  
G Chen ◽  
X Liu ◽  
L Hennighausen ◽  
...  
Keyword(s):  
Molecular Weight ◽  
Human Peripheral Blood ◽  
Janus Kinase ◽  
Lower Molecular Weight ◽  
Colony Stimulating Factor ◽  
Enhancer Element ◽  
Gm Csf ◽  
Macrophage Colony Stimulating Factor ◽  
Macrophage Colony ◽  
Stimulating Factor

Granulocyte-macrophage colony-stimulating factor (GM-CSF) induces immediate effects in monocytes by activation of the Janus kinase (JAK2) and STAT transcription factor (STAT5) pathway. Recent studies have identified homologues of STAT5, STAT5A, and STAT5B, as well as lower molecular weight variants of STAT5. To define the activation of the STAT5 homologues and lower molecular weight variant in human monocytes and monocytes differentiated into macrophages by culture in macrophage- CSF (M-CSF), we measured the GM-CSF induced tyrosine phosphorylation of STAT5A, STAT5B, and any lower molecular weight STAT5 isoforms. Freshly isolated monocytes expressed 94-kD STAT5A, 92-kD STAT5B, and an 80-kD STAT5A molecule. Whereas 94-kD STAT5A was clearly tyrosine phosphorylated and bound to the enhancer element, the gamma response region (GRR), of the Fc gamma RI gene, substantially less tyrosine phosphorylated STAT5B bound to the immobilized GRR element. Macrophages lost their ability to express the 80-kD STAT5A protein, but retained their ability to activate STAT5A. STAT5A-STAT5A homodimers and STAT5A- STAT5B heterodimers formed in response to GM-CSF. Therefore, activation of STAT5A predominates compared to STAT5B when assayed by direct immunoprecipitation and by evaluation of bound STATs to immobilized GRR. Selective activation of STAT5 homologues in addition to generation of lower molecular isoforms may provide specificity and control to genes expressed in response to cytokines such as GM-CSF.

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