Project description:An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed revealing only 48-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors. Keywords: prostate cancer progression 13 individual benign prostate, primary and metastatic prostate cancer samples and 6 pooled samples from benign,primary or metastatic prostate cancer tissues.
Project description:An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed revealing only 48-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors. Keywords: prostate cancer progression
Project description:Using laser capture microdissection to isolate over 100 specific cell populations, we report the profiling of prostate cancer progression from benign epithelium to metastatic disease. By analyzing these expression signatures in the context of over 15,000 “molecular concepts”, or sets of biologically connected genes, we generated an integrative model of prostate cancer progression. Keywords: disease state analysis
Project description:Metastasis to the brain is rare in prostate cancer and unfortunately, incredibly lethal. We evaluated the tissue biopsies of a patient with a treatment-induced metastatic lesion to the brain of the neuroendocrine prostate cancer (NEPC) subtype. We performed genomic, transcriptomic, and proteomic characterization on the primary prostate tumor, the metastatic brain NEPC, and an additional metastatic nodule in the dura with adenocarcinoma histology. These data are the proteomics result of this patient, with three replicates for each sample (primary prostate, dura adenocarcinoma, brain NEPC).
Project description:Extracellular vesicles (EVs) are membrane-encapsulated particles that vary greatly in size and content. Although both normal and tumor cells produce an array of small EVs (S-EVs), only tumor cells have been found to release a population of atypically large EVs (L-EVs), also known as large oncosomes (LO). Little is known about the cargo of L-EVs, and how it differs from the S-EVs. Given the potential for tumor-derived L-EVs to provide insights into disease mechanisms and course, we performed proteomic analysis of L- and S-EVs derived from three cancer models followed by comparative proteomic and transcriptomic analysis of EVs from the prostate cancer model. 1) We identified both common and model-specific protein signatures for L- and S-EVs. 2) A subset of the proteins enriched in prostate cancer cell-derived L-EVs were also identified in L-EVs isolated from plasma of patients with metastatic prostate cancer. 3) Proteins enriched in L-EV that were also identified at the transcript level were mostly mitochondrial in origin, as confirmed by single vesicle RNA-Seq. Additionally, the L-EV mitochondrial signature was detected in plasma-derived L-EVs and distinguished patients with prostate cancer from cancer-free individuals as well as patients with metastatic prostate cancer from those with localized disease, corroborating the relevance of an integrative multi-analyte approach focused on L-EVs for liquid biopsy.
Project description:Extracellular Vesicles (EVs) are particles of different sizes, covered by a lipid bilayer membrane and containing highly heterogeneous cargo. Cancer cell-derived EVs have been the main object of an extensive investigation in the field because they carry cancer-specific molecular cargo and can promote cancer progression. Cancer-derived EVs include populations of atypically large EVs (L-EVs), which have been referred to as tumor microvesicles, large oncosomes, or simply L-EVs. While small EVs (S-EVs), which include exosomes, have been investigated by a plethora of reports, little is known about L-EVs. The paucity of studies comparing protein cargo of L- and S-EVs and studies focusing on protein-coding RNA, and the absence of integrative analyses to compare the protein and gene expression in different EV fractions, prompted us to perform mass spectrometry to profile three different, size-based EV fractions generated by three cancer cell models (glioma, prostate and breast cancer). We identified protein signatures for L- and S-EVs either common to all cell types or specific to each of them individually. The proteins enriched in prostate cancer cell-derived L-EVs were also identified in L-EVs from patients with metastatic prostate cancer by a SWATH proteomic assay. We also performed RNA-Seq on the prostate cancer model and integrated proteomic and transcriptomic datasets. GSEA revealed that mitochondrial function was enriched in L-EVs versus S-EVs at both the RNA and protein level. The mitochondrial signature at the transcriptome level was confirmed by single cell RNA-Seq of L- EVs in vitro. The integrated L-EV proteomic and transcriptomic signature enabled distinction between benign and localized prostate cancer, as well as between localized cancer and metastatic castration-resistant cancer.
Project description:Extracellular vesicles (EVs) are particles of different sizes, covered by a lipid bilayer membrane and containing highly heterogeneous cargo. Cancer cell-derived EVs have been the main object of an extensive investigation in the field because they carry cancer-specific molecular cargo and can promote cancer progression. Cancer-derived EVs include populations of atypically large EVs (L-EVs) that can be pelleted by a low/medium speed centrifugation, which have been referred to as tumor microvesicles, large oncosomes, or simply L-EVs. While small EVs (S-EVs), which pellet at a high speed centrifugation and include exosomes, have been investigated by a plethora of reports, little is known about the cargo of L-EVs. The paucity of studies comparing protein cargo of L- and S-EVs, of studies focused on protein coding RNA, and the absence of integrative analyses to compare the protein and gene expression in different EV fractions, prompted us to perform mass spectrometry to profile three different, size-based EV fractions generated by three cancer cell models (glioma, prostate and breast cancer). We identified general as well as cancer type-specific protein signatures for L- and S-EVs. A subset of the proteins enriched in prostate cancer cell-derived L-EVs was also identified in L-EVs from plasma of patients with metastatic prostate cancer by an independent Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH) mass spectrometry analysis. Proteomic and transcriptomic analyses of the prostate cancer-derived EVs revealed an enrichment of mitochondrial functions in L-EVs versus S-EVs at both the protein and RNA level. The mitochondrial signature was confirmed in L-EVs by single EV RNA-Seq. The integrated L-EV proteomic and transcriptomic signature enabled distinction between benign and localized prostate cancer, as well as between localized cancer and metastatic castration-resistant cancer.
Project description:Current knowledge of prostate cancer genomes is largely based on relatively small patient cohorts using single modality analysis platforms. Here we report concordant assessment of DNA copy number, mRNA and microRNA expression and focused exon resequencing in prostate tumors from 218 patients with primary or metastatic prostate cancer with a median of 5 years clinical follow-up, now made available as a public resource. Mutations in known, commonly mutated oncogenes and tumor suppressor genes such as PIK3CA, KRAS, BRAF and TP53 are present but generally rare. However, integrative analysis of mutations with copy number alterations (CNAs) and expression changes reveal alterations in the PI3K, RAS/RAF and androgen receptor (AR) pathways in nearly all metastatic samples and in a higher frequency of primary samples than previously suspected based on single-gene studies. Other new findings include evidence that the nuclear receptor coactivator NCOA2 functions as a driver oncogene in ~20 percent of primaries. Tumors with the androgen-driven TMPRSS2-ERG fusion were significantly associated with a small, previously unrecognized, prostate-specific 3p14 deletion that, through mRNA expression and resequencing analysis, implicates FOXP1, RYBP and SHQ1 as candidate cooperative tumor suppressors. Comparison of transcriptome and DNA copy number data from primary tumors for prognostic impact revealed that CNAs robustly define clusters of low- and high-risk disease beyond that achieved by Gleason score. In sum, this integrative genomic analysis of a substantial cohort of tumors clarifies the role of several known cancer pathways in prostate cancer, implicates several new ones, reveals a previously unappreciated role for CNAs in prognosis and provides a blueprint for clinical development of pathway inhibitors. Human prostate samples were profiled on Agilent microRNA V2 arrays per manufacturer's instructions.
Project description:Extracellular Vesicles (EVs) are particles of different sizes, covered by a lipid bilayer membrane and containing highly heterogeneous cargo. Cancer cell-derived EVs have been the main object of an extensive investigation in the field because they carry cancer-specific molecular cargo and can promote cancer progression. Cancer-derived EVs include populations of atypically large EVs (L-EVs), which have been referred to as tumor microvesicles, large oncosomes, or simply L-EVs. While small EVs (S-EVs), which include exosomes, have been investigated by a plethora of reports, little is known about L-EVs. The paucity of studies comparing protein cargo of L- and S-EVs, of studies focused on protein coding RNA, and the absence of integrative analyses to compare the protein and gene expression in different EV fractions, prompted us to perform mass spectrometry to profile three different, size-based EV fractions generated by three cancer cell models (glioma, prostate and breast cancer). We identified protein signatures for L- and S-EVs either common to all cell types or specific to each of them individually. The proteins enriched in prostate cancer cell-derived L-EVs were also identified in L-EVs from patients with metastatic prostate cancer by a SWATH proteomic assay. We also performed RNA-Seq on the prostate cancer model and integrated proteomic and transcriptomic datasets. GSEA revealed that mitochondrial function was enriched in L-EVs versus S-EVs at both the RNA and protein level. The mitochondrial signature at the transcriptome level was confirmed by single cell RNA-Seq of L- EVs in vitro. The integrated L-EV proteomic and transcriptomic signature enabled distinction between benign and localized prostate cancer, as well as between localized cancer and metastatic castration-resistant cancer.