Dataset Information

Clinical features of neuroendocrine prostate cancer.

ABSTRACT: BACKGROUND:Neuroendocrine prostate cancer (NEPC) is an aggressive variant of prostate cancer that may arise de novo or in patients previously treated with hormonal therapies for prostate adenocarcinoma as a mechanism of resistance. Despite being important to recognise, the clinical features of NEPC are poorly defined and could help guide when to perform a biopsy to look for NEPC histologic transformation. METHODS:We reviewed baseline, treatment and outcome data of 87 patients with metastatic prostate cancer and tumour biopsy confirming NEPC histology. Forty-seven (54.0%) NEPC cases presented de novo, and 40 (46.0%) were therapy-related (t-NEPC). Thirty-six (41.4%) were classified as pure small-cell carcinoma, and 51 (58.6%) demonstrated mixed features with both small-cell carcinoma and adenocarcinoma present. Genomic data were available for 47 patients. RESULTS:The median age at time of NEPC was 68.1 years, median prostate-specific antigen (PSA) was 1.20 ng/ml (0.14 ng/mL small-cell carcinoma, 1.55 ng/mL mixed carcinoma) and sites of metastases included bone (72.6%), lymph node (47.0%), and viscera (65.5%). Median time from adenocarcinoma to t-NEPC diagnosis was 39.7 months (range, 24.5-93.8) with a median of two lines of prior systemic therapy. Platinum chemotherapy was used to treat 57.5% of patients, with a median progression-free survival of 3.9 months. Small-cell carcinoma was associated with worse overall survival (OS) than mixed histology (8.9 months from NEPC diagnosis versus 26.1 months, P < 0.001). Median OS of de novo NEPC was shorter than that of t-NEPC (16.8 months from prostate cancer diagnosis versus 53.5 months, P = 0.043). An average PSA rise per month of ?0.7 ng/ml before t-NEPC; elevated lactate dehydrogenase levels, RB1 and TP53 loss and liver metastases were poor prognostic features. CONCLUSIONS:We describe the clinical features of a cohort of patients with NEPC. These characteristics may inform future diagnostic strategies.

SUBMITTER: Conteduca V

PROVIDER: S-EPMC6803064 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Clinical features of neuroendocrine prostate cancer.

Conteduca Vincenza V Oromendia Clara C Eng Kenneth W KW Bareja Rohan R Sigouros Michael M Molina Ana A Faltas Bishoy M BM Sboner Andrea A Mosquera Juan Miguel JM Elemento Olivier O Nanus David M DM Tagawa Scott T ST Ballman Karla V KV Beltran Himisha H

European journal of cancer (Oxford, England : 1990) 20190913

<h4>Background</h4>Neuroendocrine prostate cancer (NEPC) is an aggressive variant of prostate cancer that may arise de novo or in patients previously treated with hormonal therapies for prostate adenocarcinoma as a mechanism of resistance. Despite being important to recognise, the clinical features of NEPC are poorly defined and could help guide when to perform a biopsy to look for NEPC histologic transformation.<h4>Methods</h4>We reviewed baseline, treatment and outcome data of 87 patients with ...[more]

PMID: 31525487

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Project description:Background:Treatment-induced neuroendocrine prostate cancer (tNEPC) is an aggressive variant of late-stage metastatic castrate-resistant prostate cancer that commonly arises through neuroendocrine transdifferentiation (NEtD). Treatment options are limited, ineffective, and, for most patients, result in death in less than a year. We previously developed a first-in-field patient-derived xenograft (PDX) model of NEtD. Longitudinal deep transcriptome profiling of this model enabled monitoring of dynamic transcriptional changes during NEtD and in the context of androgen deprivation. Long non-coding RNA (lncRNA) are implicated in cancer where they can control gene regulation. Until now, the expression of lncRNAs during NEtD and their clinical associations were unexplored. Results:We implemented a next-generation sequence analysis pipeline that can detect transcripts at low expression levels and built a genome-wide catalogue (n = 37,749) of lncRNAs. We applied this pipeline to 927 clinical samples and our high-fidelity NEtD model LTL331 and identified 821 lncRNAs in NEPC. Among these are 122 lncRNAs that robustly distinguish NEPC from prostate adenocarcinoma (AD) patient tumours. The highest expressed lncRNAs within this signature are H19, LINC00617, and SSTR5-AS1. Another 742 are associated with the NEtD process and fall into four distinct patterns of expression (NEtD lncRNA Class I, II, III, and IV) in our PDX model and clinical samples. Each class has significant (z-scores >2) and unique enrichment for transcription factor binding site (TFBS) motifs in their sequences. Enriched TFBS include (1) TP53 and BRN1 in Class I, (2) ELF5, SPIC, and HOXD1 in Class II, (3) SPDEF in Class III, (4) HSF1 and FOXA1 in Class IV, and (5) TWIST1 when merging Class III with IV. Common TFBS in all NEtD lncRNA were also identified and include E2F, REST, PAX5, PAX9, and STAF. Interrogation of the top deregulated candidates (n = 100) in radical prostatectomy adenocarcinoma samples with long-term follow-up (median 18 years) revealed significant clinicopathological associations. Specifically, we identified 25 that are associated with rapid metastasis following androgen deprivation therapy (ADT). Two of these lncRNAs (SSTR5-AS1 and LINC00514) stratified patients undergoing ADT based on patient outcome. Discussion:To date, a comprehensive characterization of the dynamic landscape of lncRNAs during the NEtD process has not been performed. A temporal analysis of the PDX-based NEtD model has for the first time provided this dynamic landscape. TFBS analysis identified NEPC-related TF motifs present within the NEtD lncRNA sequences, suggesting functional roles for these lncRNAs in NEPC pathogenesis. Furthermore, select NEtD lncRNAs appear to be associated with metastasis and patients receiving ADT. Treatment-related metastasis is a clinical consequence of NEPC tumours. Top candidate lncRNAs FENDRR, H19, LINC00514, LINC00617, and SSTR5-AS1 identified in this study are implicated in the development of NEPC. We present here for the first time a genome-wide catalogue of NEtD lncRNAs that characterize the transdifferentiation process and a robust NEPC lncRNA patient expression signature. To accomplish this, we carried out the largest integrative study that applied a PDX NEtD model to clinical samples. These NEtD and NEPC lncRNAs are strong candidates for clinical biomarkers and therapeutic targets and warrant further investigation.

Project description:Neuroendocrine prostate cancer (NEPC) is a highly aggressive subtype of prostate cancer (PCa) for which the median survival remains less than a year. Current treatments are only palliative in nature, and the lack of suitable pre-clinical models has hampered previous efforts to develop novel therapeutic strategies. Addressing this need, we have recently established the first in vivo model of complete neuroendocrine transdifferentiation using patient-derived xenografts. Few genetic differences were observed between parental PCa and relapsed NEPC, suggesting that NEPC likely results from alterations that are epigenetic in nature. Thus, we sought to identify targetable epigenetic regulators whose expression was elevated in NEPC using genome-wide profiling of patient-derived xenografts and clinical samples.Our data indicate that multiple members of the polycomb group (PcG) family of transcriptional repressors were selectively upregulated in NEPC. Notably, CBX2 and EZH2 were consistently the most highly overexpressed epigenetic regulators across multiple datasets from clinical and xenograft tumor tissues. Given the striking upregulation of PcG genes and other transcriptional repressors, we derived a 185-gene list termed 'neuroendocrine-associated repression signature' (NEARS) by overlapping transcripts downregulated across multiple in vivo NEPC models. In line with the striking upregulation of PcG family members, NEARS was preferentially enriched with PcG target genes, suggesting a driving role for PcG silencing in NEPC. Importantly, NEARS was significantly associated with high-grade tumors, metastatic progression, and poor outcome in multiple clinical datasets, consistent with extensive literature linking PcG genes and aggressive disease progression.We have explored the epigenetic landscape of NEPC and provided evidence of increased PcG-mediated silencing associated with aberrant transcriptional regulation of key differentiation genes. Our results position CBX2 and EZH2 as potential therapeutic targets in NEPC, providing opportunities to explore novel strategies aimed at reversing epigenetic alterations driving this lethal disease.

Project description:The latest World Health Organization (WHO) classification categorized invasive breast carcinomas (IBCs) with neuroendocrine (NE) differentiations into neuroendocrine neoplasms (including well-differentiated neuroendocrine tumor [NET] and poorly differentiated neuroendocrine carcinoma [NEC]) and IBC no special type with NE features (IBC-NST-NE). However, little is documented of the clinical significance of this classification; also the precise thresholds and choices of NE markers were variable. In the current study, a large cohort of patients with IBC with NE differentiation were morphologically classified based on the WHO criteria and the clinical relevance of expression of different NE markers (synaptophysin [SYN], chromogranin [CG], and CD56) was evaluated. Among 1,372 IBCs, 52 NET (3.8%) and 172 IBC-NST-NE (12.5%) were identified. Compared with the IBC-no NE cases, NET and IBC-NST-NE were similarly associated with positive estrogen receptor (ER) expression and lower grade (p < .001). For patient outcome, IBC-NST-NE, but not NET, demonstrated significantly worse survival than the IBC-no NE cases. Based on high (≥50%) and low (<50%) expression for each NE marker, independent poor disease-free survival for SYNlo CGlo and SYNhi CGlo cancers (IBC-no NE cases as references, hazard ratio [HR], ≤1.429; p ≤ .026) was found. Interestingly, SYN and CG expression correlated with each other and they shared similar clinicopathologic characteristics; but not with with CD56. In addition, CD56-only positive cases were associated with hormone receptors negativity and basal markers positivity (p ≤ .019), and patients' outcome was similar to IBC-no NE cancers. Our findings suggested that NE markers expression may provide information to fine tune treatment strategy. The relevance of CD56 as NE marker requires further studies. IMPLICATIONS FOR PRACTICE: Invasive breast carcinomas (IBCs) with neuroendocrine (NE) differentiation are heterogeneous in clinicopathologic parameters, biomarker expression, and prognosis. However, there are no specific therapies targeting NE differentiation, and all carcinomas with any NE differentiation are treated similarly as other IBCs. The results of this study suggest that stratification based on NE marker expression levels may provide added prognostically pertinent information, aiding better treatment strategy. In addition, CD56-only positive carcinomas showed a different clinicopathologic and biomarker expression profile compared with those with chromogranin and synaptophysin expression. Relevance of CD56 as an NE marker requires further studies.

Dataset Information

Clinical features of neuroendocrine prostate cancer.

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Clinical features of neuroendocrine prostate cancer.

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