Project description:The prostate stroma is a key mediator of epithelial differentiation and development, and potentially plays a role in the initiation and progression of prostate cancer. Isolation and characterization of viable populations of the constituent cell types of prostate tumors could provide valuable insight into the biology of cancer. The CD90+ stromal fibromuscular cells from tumor specimens were isolated by cell-sorting and analyzed by DNA microarray. Dataset analysis was used to compare gene expression between normal and tumor-associated reactive stromal cells. Reactive stroma is characterized by smooth muscle differentiation, prostate down-regulation of SPOCK3, MSMB, CXCL13, and PAGE4, bladder down-regulation of TRPA1, HSD17B2, IL24, and SALL1, and an up-regulation of CXC-chemokines. This study identified a group of differentially expressed genes in CD90+ reactive stromal cells that are potentially involved in organ development and smooth muscle cell differentiation.
Project description:The prostate stroma is a key mediator of epithelial differentiation and development, and potentially plays a role in the initiation and progression of prostate cancer. Isolation and characterization of viable populations of the constituent cell types of prostate tumors could provide valuable insight into the biology of cancer. The CD90+ stromal fibromuscular cells from tumor specimens were isolated by cell-sorting and analyzed by DNA microarray. Dataset analysis was used to compare gene expression between normal and tumor-associated reactive stromal cells. Reactive stroma is characterized by smooth muscle differentiation, prostate down-regulation of SPOCK3, MSMB, CXCL13, and PAGE4, bladder down-regulation of TRPA1, HSD17B2, IL24, and SALL1, and an up-regulation of CXC-chemokines. This study identified a group of differentially expressed genes in CD90+ reactive stromal cells that are potentially involved in organ development and smooth muscle cell differentiation. Experiment Overall Design: A total of 15 arrays were run for the following sample types obtained from 10 patients: Experiment Overall Design: 2 CD90+ prostate tumor-associated stromal: Experiment Overall Design: Patient 1: CP_Str_08-028_CD90posi Experiment Overall Design: Patient 2: 08-032_CP_strom_CD90posi Experiment Overall Design: 2 CD13+ normal bladder stromal: Experiment Overall Design: Patient 3: 06-125_NB_CD13posi Experiment Overall Design: Patient 4: 06-070_NB_str_CD13posi Experiment Overall Design: 1 CD13+ bladder tumor-associated stromal: Experiment Overall Design: Patient 5: 07-008_CB_str_CD13posi Experiment Overall Design: 5 whole tissue prostate cancer and 5 normal tissue from matched pairs: Experiment Overall Design: Patient 6: 05-206_CaP, 05-206_NP Experiment Overall Design: Patient 7: 05-213_CaP, 05-213_NP Experiment Overall Design: Patient 8: 05-214_CaP, 05-214_NP Experiment Overall Design: Patient 9: 05-218_CaP, 05-218_NP Experiment Overall Design: Patient 10: 05-220_CaP, 05-220_NP Experiment Overall Design: Additionally, 8 arrays were run for the following sample types obtained from 7 patients: Experiment Overall Design: 5 CD49a+ normal prostate stromal (PMID 16638148): Experiment Overall Design: Patient 1: CD49a_01-26-04 Experiment Overall Design: Patient 2: CD49a_03-23-04 Experiment Overall Design: Patient 3: CD49a_03-04-04 Experiment Overall Design: Patient 4: CD49a-1_06-02-04 Experiment Overall Design: Patient 5: CD49a-4_06-02-04 Experiment Overall Design: 3 CD26+ prostate cancer (2 biological replicates, 1 sample run twice): Experiment Overall Design: Patient 6: 05-179_CD26t Experiment Overall Design: Patient 6: 05-179_CD26t_2 Experiment Overall Design: Patient 7: 08-032_CP_epi_CD26posi Experiment Overall Design: The following two prostate cancer samples were also included in the analyses: Experiment Overall Design: CD26+ cancer cell, replicate 1 Experiment Overall Design: CD26+ cancer cell, replicate 2 Experiment Overall Design: The tissue samples consisted of prostate tissue specimens obtained from patients undergoing radical prostatectomy under approval by the University of Washington Institutional Review Board. The same approach was used for both cancer-free and cancer-enriched (where at least 85% of the cells in the corresponding frozen section were of cancer) samples. To obtain bladder stromal cells for analysis, tissue specimens were obtained from cystoprostatectomy surgeries. For cell sorting, the collected specimens were processed within hours. Cell types were sorted using monoclonal antibodies specific for tumor-associated prostate stromal cells (CD90), tumor-associated bladder stromal cells (CD13) and normal bladder stromal cells (CD13) with MACS.
Project description:Primary tumor growth induces host tissue responses that are believed to support and promote tumor progression. Identification of the molecular characteristics of the tumor microenvironment and elucidation of its crosstalk with tumor cells may therefore be crucial for improving our understanding of the processes implicated in cancer progression, identifying potential therapeutic targets, and uncovering stromal gene expression signatures that may predict clinical outcome. A key issue to resolve, therefore, is whether the stromal response to tumor growth is largely a generic phenomenon, irrespective of the tumor type, or whether the response reflects tumor-specific properties. To address similarity or distinction of stromal gene expression changes during cancer progression, oligonucleotide-based Affymetrix microarray technology was used to compare the transcriptomes of laser-microdissected stromal cells derived from invasive human breast and prostate carcinoma. Invasive breast and prostate cancer-associated stroma was observed to display distinct transcriptomes, with a limited number of shared genes. Interestingly, both breast and prostate tumor-specific dysregulated stromal genes were observed to cluster breast and prostate cancer patients, respectively, into two distinct groups with statistically different clinical outcomes. By contrast, a gene signature that was common to the reactive stroma of both tumor types did not have survival predictive value. Univariate Cox analysis identified genes whose expression level was most strongly associated with patient survival. Taken together, these observations suggest that the tumor microenvironment displays distinct features according to the tumor type that provides survival-predictive value. 6 samples of stroma surrounding invasive breast primary tumors; 6 matched samples of normal stroma. 6 samples of stroma surrounding invasive prostate primary tumors; 6 matched samples of normal stroma.
Project description:The tumor microenvironment plays a critical role in cancer progression, but the precise mechanisms by which stromal cells influence the tumor epithelium are poorly understood. The signaling adapter p62 has been implicated as a positive regulator of epithelial tumorigenesis; however, its role in the stroma is unknown. We show here that p62 levels are reduced in the stroma of several tumors. Also, orthotopic and organotypic studies demonstrate that the loss of p62 in the tumor microenvironment or stromal fibroblasts resulted in increased tumorigenesis of epithelial prostate cancer cells. The mechanism involves the regulation of cellular redox through an mTORC1/c-Myc pathway of stromal glucose and amino acid metabolism. Inhibition of the pathway by p62 deficiency results in increased stromal IL-6 production, which is required for tumor promotion in the epithelial compartment. Thus, p62 is an anti-inflammatory tumor suppressor that acts through modulation of metabolism in the tumor stroma. C57BL6 syngeneic TRAMP-C2Re3 cells (5×10^4) were injected orthotopically into the prostate of WT (n=6) or p62 KO (n=6) mice (C57BL6 background) and tumor growth was assessed, followed by transcriptome profiling of the orthotopic tumors (n=12).
Project description:Tumors cause the induction or repression of many genes associated with inflammation. To investigate the up and down regulation of genes associated with immune stimulation or immune tolerance RNA was isolated from dendritic cells from normal or tumor bearing prostate for microarray analysis. Using the TRansgenic Adenocarcinoma of the Mouse Prostate (TRAMP) model and a fold change comparison system we identified genes that are associated with immune tolerance to be up-regulated and genes associated with immunity to be down regulated in tumor associated dendritic cells. Keywords: Comparative gene expression, prostate cancer, dendritic cells
Project description:Tumors cause the induction or repression of many genes associated with inflammation. To investigate the up and down regulation of genes associated with immune stimulation or immune tolerance RNA was isolated from dendritic cells from normal or tumor bearing prostate for microarray analysis. Using the TRansgenic Adenocarcinoma of the Mouse Prostate (TRAMP) model and a fold change comparison system we identified genes that are associated with immune tolerance to be up-regulated and genes associated with immunity to be down regulated in tumor associated dendritic cells. Keywords: Comparative gene expression, prostate cancer, dendritic cells Prostatic dendritic cells were isolated from 4 normal and 6 tumor bearing mice for comparison of gene expression.
Project description:Primary tumor growth induces host tissue responses that are believed to support and promote tumor progression. Identification of the molecular characteristics of the tumor microenvironment and elucidation of its crosstalk with tumor cells may therefore be crucial for improving our understanding of the processes implicated in cancer progression, identifying potential therapeutic targets, and uncovering stromal gene expression signatures that may predict clinical outcome. A key issue to resolve, therefore, is whether the stromal response to tumor growth is largely a generic phenomenon, irrespective of the tumor type, or whether the response reflects tumor-specific properties. To address similarity or distinction of stromal gene expression changes during cancer progression, oligonucleotide-based Affymetrix microarray technology was used to compare the transcriptomes of laser-microdissected stromal cells derived from invasive human breast and prostate carcinoma. Invasive breast and prostate cancer-associated stroma was observed to display distinct transcriptomes, with a limited number of shared genes. Interestingly, both breast and prostate tumor-specific dysregulated stromal genes were observed to cluster breast and prostate cancer patients, respectively, into two distinct groups with statistically different clinical outcomes. By contrast, a gene signature that was common to the reactive stroma of both tumor types did not have survival predictive value. Univariate Cox analysis identified genes whose expression level was most strongly associated with patient survival. Taken together, these observations suggest that the tumor microenvironment displays distinct features according to the tumor type that provides survival-predictive value.
Project description:Mast cells (MCs) are important cellular components of the tumor microenvironment and are significantly associated with poor patient outcomes in prostate cancer and other solid cancers. The promotion of tumor progression partly involves heterotypic interactions between MCs and cancer-associated fibroblasts (CAFs) which combine to potentiate a pro-tumor extracellular matrix and promote epithelial cell invasion and migration. Thus far, the interactions between MCs and CAFs remains poorly understood. To identify molecular changes that may alter resident MC function in the prostate tumor microenvironment, we profiled the transcriptome of human prostate MCs, isolated from patient-matched non-tumor and tumor-associated regions of fresh radical prostatectomy tissue. Transcriptomic profiling revealed a distinct gene expression profile of MCs isolated from prostate tumor regions, including the downregulation of SAMD14, a putative tumor suppressor gene. Proteomic profiling revealed overexpression of SAMD14 in HMC-1 MCs altered the secretion of proteins associated with immune regulation and extracellular matrix processes. To assess MC biological function within a model of the prostate tumor microenvironment, HMC-1-SAMD14+ conditioned media was added to co-cultures of primary prostatic CAFs and prostate epithelium. HMC-1-SAMD14+ secretions were shown to reduce the deposition and alignment of matrix produced by CAFs and suppress pro-tumorigenic prostate epithelial morphology. Overall, our data presents the first profile of human MCs derived from patient prostate cancer specimens and identifies MC-derived SAMD14 as an important mediator of MC phenotype and function within the prostate tumor microenvironment.
Project description:The tumor microenvironment plays a critical role in cancer progression, but the precise mechanisms by which stromal cells influence the tumor epithelium are poorly understood. The signaling adapter p62 has been implicated as a positive regulator of epithelial tumorigenesis; however, its role in the stroma is unknown. We show here that p62 levels are reduced in the stroma of several tumors. Also, orthotopic and organotypic studies demonstrate that the loss of p62 in the tumor microenvironment or stromal fibroblasts resulted in increased tumorigenesis of epithelial prostate cancer cells. The mechanism involves the regulation of cellular redox through an mTORC1/c-Myc pathway of stromal glucose and amino acid metabolism. Inhibition of the pathway by p62 deficiency results in increased stromal IL-6 production, which is required for tumor promotion in the epithelial compartment. Thus, p62 is an anti-inflammatory tumor suppressor that acts through modulation of metabolism in the tumor stroma.
Project description:Tumors cause the induction or repression of many genes associated with inflammation. To investigate the up and down regulation of genes associated with immune stimulation or immune tolerance RNA was isolated from dendritic cells from normal or tumor bearing prostate for microarray analysis. Using normal or tumorogenic sections of human prostates as determined by Pathology experts (UMD). Keywords: Comparative gene expression, prostate cancer, dendritic cells