Project description:Aggressive cancers and normal stem cells often share similar molecular and functional traits. It is unclear if aggressive phenotypes of prostate cancer molecularly resemble normal stem cells residing within the human prostate. We performed high-throughput RNA sequencing on uncultured, highly purified epithelial populations from human prostates obtained after radical prostatectomy. We found the basal population to be defined by genes associated with developmental programs, epigenetic remodeling, and invasiveness. We further generated a 91-gene basal signature and applied it to gene expression datasets from patients with organ-confined or castration-resistant, metastatic prostate cancer. Metastatic prostate cancer was more enriched for the basal stem cell signature than organ-confined prostate cancer. Moreover, histological subtypes within prostate cancer metastases varied in their enrichment of the stem cell signature with small cell neuroendocrine carcinoma being the most stem cell-like. Bioinformatic analysis of the basal cell and two human small cell gene signatures identified a set of E2F target genes common to all three signatures. These results suggest that the most aggressive variants of prostate cancer share a core transcriptional program with normal prostate basal stem cells. Transcriptional analysis of 10 uncultured prostatic basal and luminal populations from either the benign or malignant prostate tissue of 8 human prostate cancer patients by high-throughput RNA-seq
Project description:Aggressive cancers and normal stem cells often share similar molecular and functional traits. It is unclear if aggressive phenotypes of prostate cancer molecularly resemble normal stem cells residing within the human prostate. We performed high-throughput RNA sequencing on uncultured, highly purified epithelial populations from human prostates obtained after radical prostatectomy. We found the basal population to be defined by genes associated with developmental programs, epigenetic remodeling, and invasiveness. We further generated a 91-gene basal signature and applied it to gene expression datasets from patients with organ-confined or castration-resistant, metastatic prostate cancer. Metastatic prostate cancer was more enriched for the basal stem cell signature than organ-confined prostate cancer. Moreover, histological subtypes within prostate cancer metastases varied in their enrichment of the stem cell signature with small cell neuroendocrine carcinoma being the most stem cell-like. Bioinformatic analysis of the basal cell and two human small cell gene signatures identified a set of E2F target genes common to all three signatures. These results suggest that the most aggressive variants of prostate cancer share a core transcriptional program with normal prostate basal stem cells.
Project description:The prostate gland mainly contains basal and luminal cells constructed as a pseudostratified epithelium. Annotation of prostate epithelial transcriptomes provides a foundation for discoveries that can impact disease understanding and treatment. Here, we describe a whole-genome transcriptome analysis of human benign prostatic basal and luminal populations by using deep RNA sequencing. Combined with comprehensive molecular and biological characterizations, we show that the differential gene expression profiles account for their distinct functional phenotypes. Strikingly, in contrast to luminal cells, basal cells preferentially express gene categories associated with stem cells, neural and neuronal development and RNA processing. Consistent with their expression profiles, basal cells functionally exhibit intrinsic stem-like and proneural properties with enhanced ribosome RNA (rRNA) transcription activity. Of clinical relevance, the treatment failed castration-resistant and anaplastic prostate cancers molecularly resemble a basal-like phenotype. Therefore, we link the cell-type specific gene signatures to subtypes of prostate cancer development, and identify genes associated with patient clinical outcome. Human total RNA profiles of 3 pairs of benign prostatic basal and luminal populations freshly purified from prostate tissues of three prostate cancer patients by deep RNA-seq.
Project description:The prostate gland mainly contains basal and luminal cells constructed as a pseudostratified epithelium. Annotation of prostate epithelial transcriptomes provides a foundation for discoveries that can impact disease understanding and treatment. Here, we describe a whole-genome transcriptome analysis of human benign prostatic basal and luminal populations by using deep RNA sequencing. Combined with comprehensive molecular and biological characterizations, we show that the differential gene expression profiles account for their distinct functional phenotypes. Strikingly, in contrast to luminal cells, basal cells preferentially express gene categories associated with stem cells, neural and neuronal development and RNA processing. Consistent with their expression profiles, basal cells functionally exhibit intrinsic stem-like and proneural properties with enhanced ribosome RNA (rRNA) transcription activity. Of clinical relevance, the treatment failed castration-resistant and anaplastic prostate cancers molecularly resemble a basal-like phenotype. Therefore, we link the cell-type specific gene signatures to subtypes of prostate cancer development, and identify genes associated with patient clinical outcome.
Project description:We propose that genes that control adult stem cell homeostasis in slowly turning over organs, such as prostate, control cancer fate. One such gene, KLF4, highly expressed in murine prostate stem cells, regulates their homeostasis, blocks malignant transformation and controls the self-renewal of tumor initiating cells. KLF4 loss induces molecular features of aggressive cancer and converts PIN lesions to invasive sarcomatoid carcinomas; its re-expression in vivo reverses this process. Bioinformatic analysis links these changes to human cancer. KLF4 and its signature containing downstream targets identify indolent tumors and predict recurrence-free survival in 2 prostate cancer cohorts. Thus, the link between normal stem cells and cancer control provides new approaches to improve prognosis and for identifying therapeutic targets for advanced cancer.
Project description:The histopathological and molecular heterogeneity of prostate cancer and the limited availability of human tumor tissue make unraveling the mechanisms of prostate carcinogenesis a challenging task. Our goal was to develop an ex vivo model that could be reliably utilized to define a prognostic signature based on gene expression profiling of cell cultures that maintained the tumor phenotype. To this end, we derived epithelial cultures from tissue explanted from 59 patients undergoing radical prostatectomy or cistoprostatectomy because of Prostate Benign Hyperplasia/Prostate Cancer or Bladder Carcinoma. Patient selection criteria were absence of hormonal neo-adjuvant treatment before surgery and diagnosis of clinically localized disease. Using this unique experimental material we analyzed expression of 22.500 transcripts on the Affymetrix Human U133A Gene Chips platform. Cultures from normal/hyperplastic tissues with a prevalent luminal phenotype, and from normal prostate epithelial tissue with basal phenotype (PrEC) served as controls.,We have established a large number of prostate primary cultures highly enriched in the secretory phenotype. From them we derived an epithelial-restricted transcriptional signature that: 1) differentiated normal from tumor cells; and 2) clearly separated cancer derived lines into two distinct groups which correlated with indolent and aggressive clinical behavior of the disease. ,Our findings provide:1) a method to expand human primary prostate carcinoma cells with a luminal phenotype; 2) a powerful experimental model to study primary prostate cancer biology; and 3) a novel means to characterize these tumors from a molecular genetic standpoint for prognostic and/or predictive purposes.
Project description:We have developed a novel spontaneous model of epithelial-to-mesenchymal transition (EMT) which involves four phenotypically distinct clones derived from a primary tumour-derived human prostate cancer cell line (OPCT-1), and its use to explore relationships between EMT and the generation of cancer stem cells (CSCs) in prostate cancer. Expression of epithelial (E-Cadherin) and mesenchymal markers (vimentin, fibronectin) revealed that two of the four clones were incapable of spontaneously activating EMT, whereas the others contained large populations of EMT-derived, vimentin-positive cells having spindle-like morphology. One of the two EMT-positive clones exhibited aggressively and stem cell-like characteristics, whereas the other was non-aggressive and had no stem cell phenotype. One of the two EMT-negative clones exhibited aggressive stem cell-like properties, whereas the other was the least aggressive of all clones. To understand this phenotypic differences between the clones we have conducted a microarray expression profiling experiment using Affymetrix platform.