For metastatic prostate cancer (PCa), the current standard treatment is androgen deprivation therapy (ADT). However, therapy-resistant tumors, named metastatic castration-resistant prostate cancer (mCRPC), recur in most ADT-treating patients within 3 years and the overall survival time is usually less than 2 years after the relapse (1,2). Docetaxel and two inhibitors targeting androgen receptor (AR) pathway, the abiraterone acetate and enzalutamide, are used for treatment of CRPC. The treatments increased survival as well as reduced pain and serum PSA level (3-6). However, a portion of CRPC patients receiving these drugs develop drug-resistance within a few months (7,8). New therapeutic strategies targeting the treatment-refractory mCRPC are therefore in need. Classification of cancers into subtypes with distinct histological and functional features may assist the development of new targeted therapies.
Labrecque et al. recently used whole-genome sequencing, GSEA (gene set enrichment analysis), and IHC (immunohistochemistry) to analyze 98 tumors obtained at rapid autopsy from 55 PCa patients receiving ADT in combination with docetaxel, abiraterone or enzalutamide. They provided new classification of mCRPC tumors (9). They demonstrated five different phenotypes based on the expression of AR or NE (neuroendocrine) genes: ARPC (AR-high PCa), ARLPC (AR-low PCa), AMPC (amphicrine tumors composed of cells expressing both AR and NE), DNPC (double-negative PCa AR−/NE−), and SCNPC (PCa with small cell or NE expression but without AR activity) (9). They performed RNA-Seq and IHC staining on 18 CRPC LuCaP PDX (patient-derived xenograft) lines to validate the results of the patient specimen analysis and found that the five distinct phenotypes of mCRPC in PDX lines were accurately segregated based on the AR, NEURO I (SYP, CHGA, SNAP25, SRRM4), and NEURO II (SOX2, POU3F2/BRN2, NKX2-1, and LMO3) gene expression profiles (9). The authors investigated the relationships between these five mCRPC subtypes by examining the progression phenotype of individual mCRPC patient who received a complicated history of treatment. They discovered that mCRPC is a disease continuum, and some subtypes can convert to other subtypes (Figure 1). For example, a small group of DNPC tumor cells have the potential to convert to SCNPC (9). They discovered that the relationship between AR and REST (RE1 silencing transcription factor) were associated with these mCRPC phenotypes. Labrecque et al. analyzed the data from the metastatic tumors in patient as well as the PDX models of LuCaP cell, they established a transcriptomic signature composed of 26 genes to define the treatment-resistant mCRPC phenotypes (9).
These findings were really interesting and important. It was very clever to investigate the progression sequence of mCRPC by analyzing the different tumors collected at different time points in mCRPC patients with complicated treatment history. Labrecque et al. found that mCRPC tumors in patients are often heterogenous and are a mixture of different subtypes of mCRPC. Therefore, they can determine which drug or which gene alteration promotes the development of certain subtype of mCRPC tumors. As a result, they confirmed the presence of AMPC cells in patient specimens and in CRPC cell lines (9). They also observed that loss of REST induced the expression of neuroendocrine (NE)-associated genes and drives the conversion of PCa cells to the AMPC phenotype with active AR (9). Additionally, they unearthed that a subtype of mCRPC exhibited features of squamous cell carcinoma and hormone therapy stimulated the transition from ARPC to squamous DNPC at metastatic tumors in PCa patient (9). Currently, there is no ordinary treatment for SCNPC, DNPC, and ARLPC PCa. However, since the authors established a few PDX line from these mCRPC subtypes, a screening of effective compounds and drugs which are capable to suppress the cell proliferation and survival of these drug-resistant mCRPC can be conducted. The transcript panels for tumor classification can be diagnostic or prognostic biomarkers for treatment decision-making. It will also be interesting to use the PDX models to examine if natural compounds which were known to suppress AR signaling or AR stability, such as EGCG (10) or caffeic acid phenethyl ester (11), may repress the growth of these drug-resistant mCRPC xenografts.
The classification of the five subtypes of mCRPC tumors was based on whole-genome sequencing, RNA-Seq and IHC staining analyses. It will be interesting to examine the profile of proteins and metabolites with protein array and LC MS/MS as well as to investigate the profile of tumor associated macrophages (TAMs). It is possible that profiling of proteins and metabolites will further divide the five subtypes of mCRPC into more different subtypes. The difference in profile of protein, metabolite, and TAM among these mCRPC subtypes may allow us to develop the suitable targeted therapy for each patient. However, if patient acquire the heterogenous mCRPC tumor, treatment can be a challenge due to the mixture of different subtypes of mCRPC tumors and the potential existence of cancer stem cell. Biopsy or blood-based biomarkers detection for classification the subtype of mCRPC will therefore be critical to design the personalized medicine for patients with advanced PCa. In conclusion, we believe that the new classification proposed by Labrecque et al. may assist the development of targeted therapies for treatment-refractory mCRPC.
Funding: This study was supported by intramural grant from National Health Research Institutes and the grant MOST 108-2314-B-400-021 from Ministry of Science and Technology for CPC.
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tau.2020.03.24). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
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