Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome profiling of CXCR2+ neuroendocrine (NE) tumor cells purified from patients' fresh prostate adenocarcinoma

ABSTRACT: The development of therapy resistance is inevitable in prostate cancer (PCa) despite maximal inhibition of androgen receptor (AR) signaling. Here, we for the first time purified a rare AR-negative NE-cell subset from primary fresh human PCa tissue based on cell-surface receptor CXCR2 and showed that they possess gene signatures of lethal cancer through transcriptional profiling. Functional studies demonstrate CXCR2 to be a driver of NE cells’ key phenotypes, including loss of AR expression, lineage plasticity, and resistance to hormonal-therapy. Furthermore, CXCR2-driven NE cells are critical for the tumor microenvironment by providing a survival niche for the bulk AR+ luminal cells. Importantly, inhibition of CXCR2 by a chemical inhibitor or genetic manipulation dramatically inhibits aggressive PCa cells in-vitro and in-vivo, demonstrating a central role of NE cells in human PCa. Therefore, we firmly established that targeting NE cells through CXCR2 represents a novel, AR-independent therapeutic strategy that will eliminate all tumor cells (NE and luminal), achieving superior therapeutic efficacy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE114326 | GEO | 2019/12/03

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Transcriptome profiling of CXCR2+ neuroendocrine (NE) tumor cells purified from patients' fresh prostate adenocarcinoma

Project description:Transcriptome profiling of CXCR2+ neuroendocrine (NE) tumor cells purified from patients' fresh prostate adenocarcinoma

| PRJNA470957 | ENA

SRRM4 Expression and the Loss of REST Activity May Promote the Emergence of the Neuroendocrine Phenotype in Castration-Resistant Prostate Cancer

Project description:The neuroendocrine (NE) phenotype is associated with the development of metastatic castration-resistant prostate cancer (CRPC). Our objective was to characterize the molecular features of the NE phenotype in CRPC. Expression of chromogranin A (CHGA), synaptophysin (SYP), androgen receptor (AR), and prostate-specific antigen (PSA) was analyzed by immunohistochemistry (IHC) in 155 CRPC metastases from 50 patients and in 24 LuCaP prostate cancer patient-derived xenografts (PDX). Co-expression of CHGA and SYP in >30% of cells was observed in 22 of 155 metastases (9 patients); 11 of the 22 metastases were AR+/PSA+ (6 patients), 11/22 were AR-/PSA- (4 patients), and 4/24 LuCaP PDXs were AR-/PSA-. Seventy-one of 155 metastases and the 24 LuCaP xenograft lines were analyzed by whole genome microarrays. By IHC, of the 71 metastases analyzed by whole genome microarrays, 5 metastases were CHGA+/SYP+/AR- and 5 were CHGA+/SYP+/AR+. Only CHGA+/SYP+ metastases had a NE transcript signature. The neuronal transcriptional regulator SRRM4 transcript was associated with the NE signature in CHGA+/SYP+ metastases and all CHGA+/SYP+ LuCaP xenografts. Additionally, expression of SRRM4 in the LuCaP NE xenografts correlated with a splice variant of REST that lacks the transcriptional repressor domain. In conclusion, (a) metastatic NE status can be heterogeneous in the same patient, (b) the CRPC NE molecular phenotype can be defined by CHGA+/SYP+ dual positivity, (c) the NE phenotype is not necessarily associated with the loss of AR activity, and (d) the splicing of REST by SRRM4 could promote the NE phenotype in CRPC. Custom Agilent 44K whole human genome expression oligonucleotide microarrays were used to profile 24 LuCaP PCa xenograft lines and 71 CRPC metastases from 47 patients. RNA was amplified prior to hybridization against a common reference pool of prostate tumor cell lines.

2015-06-24 | E-GEOD-66187 | biostudies-arrayexpress

RNA sequencing of 32D clone 3 cells transfected with CXCR2 (pEGFP-N1-CXCR2) or an empty vector(pEGFP-N1)

Project description:Purpose: CXCR2 was transfected into 32D clone 3 cells simulating the granulocyte and macrophage progenitor cells(GMPs) to confirm the role of CXCR2 in the differentiation of GMPs to macrophage and dendritic cell progenitor cells

2019-08-21 | GSE125347 | GEO

Transcriptome profiling of NE-4C cells and NE-4C cells with knockdown of Setdb1 by RNA-sequencing

Project description:NE-4C is a mouse neural stem cell line used for study of neuronal differentiation. Setdb1 is an epigenetic modification factor responsible for catalyzing the histone modification H3K9me3. Transcription of Setdb1 gene is enriched in embryonic neural cells during vertebrate embryogenesis. Setdb1 is upregulated in cancer cells and promotes cancers. We found that knockdown of Setdb1 in NE-4C cells led to neuronal differentiation.

2022-06-30 | GSE192373 | GEO

RNA-seq of 32D clone 3 cells transfected with CXCR2 (pEGFP-N1-CXCR2) or an empty vector (pEGFP-N1) with CXCL1/2 treatment

Project description:Purpose: To elucidate a potential role of non-coding RNA in myeloid progenitor cells during the differentiation induced by CXCR2 activation, the 32D clone 3 cells transfected with CXCR2 to simulate GMPs and were examined by RNA sequencing

2020-10-07 | GSE140723 | GEO

Therapy-Induced Developmental Reprogramming of Prostate Cancer Cells and Acquired Resistance [Dataset 2]

Project description:Treatment-induced neuroendocrine transdifferentiation (NEtD) complicates therapies for metastatic prostate cancer (PCa). We propose that NEtD requires first an intermediary reprogramming to metastable cancer stem-like cells (CSCs) and showed that AR+/PSA+ PCa cell lines were efficiently reprogrammed to and maintained as CSCs by growth in androgen-free neural/neural crest (N/NC) stem medium. Such reprogrammed CSCs overexpressed stem genes, had features of N/NC stem cells, high tumor-initiating potential, resistance to anti-androgen and an EMT phenotype. Serum-containing mediums allowed re-differentiation to N-/NC-derived cell lineages or return back to PCa-like cancer cells. Once returned, the cells had increased resistance to androgen signaling inhibition. Finally, a 62-gene signature derived from reprogrammed PCa cell lines distinguished tumors from PCa patients with adverse outcomes. Gene expression profiles were obtained for RNAs extracted from biological replicates of parental LNCaP cells or from Neuroendocrine-like LNCaP (LNCaP-NE) cells grown for 15 days in CSS-media with no androgen.

2016-03-11 | E-GEOD-66851 | biostudies-arrayexpress

Current androgen deprivation induces androgen receptor-independent prostate cancer via HGF and Wnt activation to foster nuclear export and ribosome biogenesis [scRNA-Seq]

Project description:To inhibit the re-activation of AR-promoted tumor growth via residual androgens, more potent AR antagonists and inhibitors for androgen synthesis have been developed in the decades. While these second-generation antagonists/inhibitors showed some effectiveness clinically, they also induced more diverse CRPC phenotypes. Specifically, a subpopulation of AR- and neuroendocrine (NE)-null PC cells, DNPC, occurs frequently in CRPC patients treated with abiraterone and enzalutamide, increasing metastatic CRPC incidences and the mortality of PCa. Understanding the mechanisms for DNPC will directly improve clinical outcomes.

2023-12-21 | GSE226555 | GEO

Current androgen deprivation induces androgen receptor-independent prostate cancer via HGF and Wnt activation to foster nuclear export and ribosome biogenesis [RNA-seq]

Project description:To inhibit the re-activation of AR-promoted tumor growth via residual androgens, more potent AR antagonists and inhibitors for androgen synthesis have been developed in the decades. While these second-generation antagonists/inhibitors showed some effectiveness clinically, they also induced more diverse castration-resistant prostate cancer (CRPC) phenotypes. Specifically, a subpopulation of AR- and neuroendocrine (NE)-null PC cells, DNPC, occurs frequently in CRPC patients treated with abiraterone and enzalutamide, increasing metastatic CRPC incidences and the mortality of prostate adenocarcinoma (PCa). Understanding the mechanisms for DNPC will directly improve clinical outcomes.

2023-12-21 | GSE226547 | GEO

mRNA expression data of Mes vs. Epi cells in mouse non-NE SCLC

Project description:Distinct mRNA populatins have been detected in Epi vs. Mes cells of mouse non-NE SCLC The aim of the study was to globally profile the differential gene expression in Mes vs. Epi cells of mouse non-NE SCLC.

2024-03-11 | GSE168709 | GEO

Resistance to AR Signaling Inhibition Does Not Necessitate Prostate Neuroendocrine Differentiation

Project description:Resistance to 2nd generation androgen receptor (AR) signaling inhibitors (ARSi) occurs in a subset of metastatic castration-resistant prostate cancer (mCRPC) patients with the emergence of a neuroendocrine (NE) phenotype. This NE phenotype is typically accompanied by loss of AR expression coupled with mutations/deletions in PTEN, TP53, and/or RB1, in addition to overexpression of DNMTs, EZH2, and/or SOX2. A combination of cell and molecular biology analyses of 29 prostate cancer patient-derived xenografts (PDXs) recapitulating the full spectrum of proposed genetic alterations driving NE differentiation, in addition to CRISPR-Cas9 AR-knockout cells were utilized. These analyses document that: 1) ARSi-resistance in mCRPC cells that lack AR expression in the context of a TP53 mutation and PTEN deletion does not necessitate acquiring a NE phenotype, but alternatively can occur via emergence of an AR-/NE- double negative (DN) cancer; 2) NE cancers lack AR expression due to transcriptional silencing via promoter hypermethylation; and 3) in contrast, the lack of AR expression in DN cancers is not due to promoter hypermethylation-dependent silencing. Regardless of their cell of origin, the prevalence of both AR-/NE- DN and AR-/NE+ ARSi-resistant cancers is increasing clinically, highlighting the urgent need to develop therapies that target vulnerabilities beyond AR pathway inhibition.

2021-04-01 | GSE160393 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data