Dataset Information

Identification of novel glycoproteins expressed on human macrophage surface using glycoproteomics

ABSTRACT: Prostate cancer is a leading cause of cancer-related deaths of men in the U.S. While localized disease is highly treatable by surgical resection and radiation, cancer that has metastasized remains incurable. Immune cells that primarily scavenge debris, promote prostate cancer angiogenesis and wound repair are M2 Macrophages. They are phenotypically similar to M2 tumor-associated macrophages (M2-TAMs) have been reported to associate with solid tumors and aide in proliferation, metastasis, and resistance to therapy. As an invasive species within the tumor microenvironment, this makes M2-TAMs an ideal therapeutic target in prostate cancer. To identify novel surface antigens expressed on M2-macrophages, we developed a novel method of creating homogenous populations of human macrophages from human CD14+ monocytes in vitro. These homogenous M1 macrophages secrete pro-inflammatory cytokines and our M2 macrophages secrete anti-inflammatory cytokines as well as Vascular Endothelial Growth Factor (VEGF). To identify enriched surface glycoproteins, we then performed solid-phase extraction of N-linked glycopeptides (SPEG) followed by liquid chromatography-tandem Mass Spectrometry (LC-MS/MS) on our homogenous macrophage populations. We discovered novel glycoproteins that are enriched exclusively on human M2-macrophages relative to human M1 macrophages and human CD14+ monocytes. Lastly, we determined if these surface antigens, found enriched on M2 macrophages, were also expressed in human metastatic castrate-resistant prostate cancer (mCRPC) tissues. Using mCRPC tissues from rapid autopsies, we were able to determine M2-macrophage infiltration by using immunohistochemistry and flow cytometry. These findings highlight the presence of macrophage infiltration in human mCRPC but also surface antigens that could be used for prognosis of localized disease and for targeting strategies.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Cell, Blood

DISEASE(S): Prostate Adenocarcinoma

SUBMITTER: Weiming Yang

LAB HEAD: Hui Zhang

PROVIDER: PXD005080 | Pride | 2017-03-31

REPOSITORIES: Pride

ACCESS DATA

Publications

The Identification of Macrophage-enriched Glycoproteins Using Glycoproteomics.

Zarif Jelani C JC Yang Weiming W Hernandez James R JR Zhang Hui H Pienta Kenneth J KJ

Molecular & cellular proteomics : MCP 20170327 6

Prostate cancer is a leading cause of cancer-related deaths of men in the United States. Whereas the localized disease is highly treatable by surgical resection and radiation, cancer that has metastasized remains incurable. Immune cells that primarily scavenge debris and promote prostate cancer angiogenesis and wound repair are M2 macrophages. They are phenotypically similar to M2 tumor-associated macrophages (M2-TAMs) and have been reported to associate with solid tumors and aide in proliferati ...[more]

PMID: 28348171

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Project description:Achieved biospecimens annotated with patient clinical characteristics are unique resources for translational research. However, RNA extracted from the achieved tissues is often degraded. RNA degradation can have a significant impact on the measure of transcript abundance that can lead to an increase rate of erroneous differentially expressed genes. Here, we are presenting the transcript integrity number (TIN) algorithm to measure the RNA degradation at transcript level. When applied to RNA-seq datasets generated from human brain Glioblastome cell line, human peripheral blood mononuclear cells, and metastatic castration resistant prostate cancer (mCRPC) clinical tissues, TIN provided a more reliable and more sensitive measure of RNA degradation than RIN, as demonstrated by much higher concordance with the RNA fragment size estimated from read pairs. More importantly, when comparing 10 mCRPC samples with lower RNA quality to another 10 samples with higher RNA quality, we demonstrated that calibrating gene quantification with TIN scores could mitigate RNA degradation effects and greatly improve gene expression analysis. The detected differentially expressed genes before TIN correction were predominantly ribosomal genes. However, when we adjusted gene quantifications with the corresponding TIN scores, we found differentially expressed genes were highly enriched in prostate cancer specific pathways. When further evaluating the performance of TIN correction using synthetic spike-in transcripts with predetermined abundance in RNA-seq data generated from Sequencing Control Consortium (SEQC), we found TIN adjustment had a better control of false positives and false negatives (sensitivity = 0.89, specificity = 0.91), as compared to gene expression analysis results without TIN correction (sensitivity =0.98, specificity = 0.50). RNA sequencing of 20 bone-metastatic castration resistant prostate cancer (mCRPC) using Illumina HiSeq 2500. Out of 20 mCRPC samples, 10 samples have relative low RNA integrity and another 10 samples have relative higher RNA integrity as measured by Agilent RIN score.

Project description:Cancer cells exhibit metabolic plasticity to meet oncogene-driven dependencies while coping with nutrient availability. A better understanding of how systemic metabolism impacts the accumulation of metabolites that reprogram the tumor microenvironment and drive cancer could facilitate development of precision nutrition approaches. Using the Hi-MYC prostate cancer mouse model, we demonstrated that an obesogenic high-fat diet rich in saturated fats accelerates the development of c-MYC-driven invasive prostate cancer through metabolic rewiring. Although c-MYC modulated key metabolic pathways, interaction with an obesogenic high-fat diet was necessary to induce glycolysis and lactate accumulation in tumors. These metabolic changes were associated with augmented infiltration of CD206+ and PD-L1+ tumor-associated macrophages and FOXP3+ regulatory T cells, as well as with the activation of transcriptional programs linked to disease progression and therapy resistance. Lactate itself also stimulated neoangiogenesis and prostate cancer cell migration, which were significantly reduced following treatment with the lactate dehydrogenase inhibitor FX11. In prostate cancer patients, high saturated fat intake and increased body mass index were associated with tumor glycolytic features that promote the infiltration of M2-like tumor-associated macrophages. Finally, upregulation of lactate dehydrogenase, indicative of a lactagenic phenotype, was associated with a shorter time to biochemical recurrence in independent clinical cohorts. This work identifies cooperation between genetic drivers and systemic metabolism to hijack the tumor microenvironment and promote prostate cancer progression through oncometabolite accumulation. This sets the stage for the assessment of lactate as a prognostic biomarker and supports strategies of dietary intervention and direct lactagenesis blockade in treating advanced prostate cancer. Murine prostate assays are reported in the current study MTBLS3317.Murine serum assays are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS3316' rel='noopener noreferrer' target='_blank'>MTBLS3316</a>.

Project description:Cancer cells exhibit metabolic plasticity to meet oncogene-driven dependencies while coping with nutrient availability. A better understanding of how systemic metabolism impacts the accumulation of metabolites that reprogram the tumor microenvironment and drive cancer could facilitate development of precision nutrition approaches. Using the Hi-MYC prostate cancer mouse model, we demonstrated that an obesogenic high-fat diet rich in saturated fats accelerates the development of c-MYC-driven invasive prostate cancer through metabolic rewiring. Although c-MYC modulated key metabolic pathways, interaction with an obesogenic high-fat diet was necessary to induce glycolysis and lactate accumulation in tumors. These metabolic changes were associated with augmented infiltration of CD206+ and PD-L1+ tumor-associated macrophages and FOXP3+ regulatory T cells, as well as with the activation of transcriptional programs linked to disease progression and therapy resistance. Lactate itself also stimulated neoangiogenesis and prostate cancer cell migration, which were significantly reduced following treatment with the lactate dehydrogenase inhibitor FX11. In prostate cancer patients, high saturated fat intake and increased body mass index were associated with tumor glycolytic features that promote the infiltration of M2-like tumor-associated macrophages. Finally, upregulation of lactate dehydrogenase, indicative of a lactagenic phenotype, was associated with a shorter time to biochemical recurrence in independent clinical cohorts. This work identifies cooperation between genetic drivers and systemic metabolism to hijack the tumor microenvironment and promote prostate cancer progression through oncometabolite accumulation. This sets the stage for the assessment of lactate as a prognostic biomarker and supports strategies of dietary intervention and direct lactagenesis blockade in treating advanced prostate cancer. Murine serum assays are reported in the current study MTBLS3316.Murine prostate assays are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS3317' rel='noopener noreferrer' target='_blank'>MTBLS3317</a>.

Dataset Information

Identification of novel glycoproteins expressed on human macrophage surface using glycoproteomics

Publications

The Identification of Macrophage-enriched Glycoproteins Using Glycoproteomics.

Similar Datasets

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