Guidance of sentinel lymph node biopsy decisions in patients with T1-T2 melanoma using gene expression profiling.

AIM: Can gene expression profiling be used to identify patients with T1-T2 melanoma at low risk for sentinel lymph node (SLN) positivity? PATIENTS & METHODS: Bioinformatics modeling determined a population in which a 31-gene expression profile test predicted <5% SLN positivity. Multicenter, prospectively-tested (n = 1421) and retrospective (n = 690) cohorts were used for validation and outcomes, respectively. RESULTS: Patients 55-64 years and ≥65 years with a class 1A (low-risk) profile had SLN positivity rates of 4.9% and 1.6%. Class 2B (high-risk) patients had SLN positivity rates of 30.8% and 11.9%. Melanoma-specific survival was 99.3% for patients ≥55 years with class 1A, T1-T2 tumors and 55.0% for class 2B, SLN-positive, T1-T2 tumors. CONCLUSION: The 31-gene expression profile test identifies patients who could potentially avoid SLN biopsy.

Germline mutation prevalence in individuals with pancreatic cancer and a history of previous malignancy.

BACKGROUND: Approximately 10% of pancreatic adenocarcinoma (PC) cases are attributed to hereditary causes. Individuals with PC and a personal history of another cancer associated with hereditary breast and ovarian cancer (HBOC) or Lynch syndrome (LS) may be more likely to carry germline mutations. METHODS: Participants with PC and a history of cancer were selected from a pancreatic disease registry. Of 1296 individuals with PC, 149 had a relevant history of cancer. If banked DNA was available, a multigene panel was performed for individuals who had not 1) previously had a mutation identified through clinical testing or 2) undergone clinical multigene panel testing with no mutations detected. RESULTS: Twenty-two of 124 individuals with PC and another HBOC- or LS-related cancer who underwent genetic testing had a mutation identified in a PC susceptibility gene (18%). If prostate cancer is excluded, the mutation prevalence increased to 23% (21/93). Mutation carriers were more likely to have more than 1 previous cancer diagnosis (P = .001), to have had clinical genetic testing (P = .001), and to meet National Comprehensive Cancer Network (NCCN) genetic testing criteria (P < .001). Approximately 23% of mutation carriers did not meet NCCN HBOC or LS testing guidelines based on their personal cancer history and reported cancer history in first-degree relatives. CONCLUSION: At least 18% of individuals with PC and a personal history of other HBOC- or LS-related cancers carry mutations in a PC susceptibility gene based on our data, suggesting that criteria for genetic testing in individuals with PC should include consideration of previous cancer history. Cancer 2018;124:1691-700. © 2018 American Cancer Society.

Ultrasensitive immuno-detection using viral nanoparticles with modular assembly using genetically-directed biotinylation.

We report a novel, modular approach to immuno-detection based on antibody recognition and PCR read-out that employs antibody-conjugated bacteriophage and easily-manipulated non-pathogenic viruses as affinity agents. Our platform employs phage genetically tagged for in vivo biotinylation during phage maturation that can easily be linked, through avidin, to any biotinylated affinity agent, including full-length antibodies, peptides, lectins or aptamers. The presence of analyte is reported with high sensitivity through real-time PCR. This approach avoids the need to clone antibody-encoding DNA fragments, allows the use of full-length, high affinity antibodies and, by having DNA reporters naturally encapsulated inside the bacteriophage, greatly reduces nonspecific binding of DNA. We validate the efficacy of this new approach through the detection of Vascular Endothelial Growth Factor, a known angiogenic cancer biomarker protein, at attomolar concentrations in bronchoalveolar lavage fluid.

Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression.

Molecular profiling of cancer at the transcript level has become routine. Large-scale analysis of proteomic alterations during cancer progression has been a more daunting task. Here, we employed high-throughput immunoblotting in order to interrogate tissue extracts derived from prostate cancer. We identified 64 proteins that were altered in prostate cancer relative to benign prostate and 156 additional proteins that were altered in metastatic disease. An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed, revealing only 48%-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors.

Cytogenomics and gene expression in a case of metachronous bilateral renal cell carcinomas with drop metastasis: Resolving a diagnostic dilemma with molecular technologies.

Metachronous bilateral renal cell carcinomas (RCCs) are rare but well known. We present a case of metachronous bilateral RCCs with a ureter orifice metastasis, for which the pathological diagnosis was confirmed with single nucleotide polymorphism microarray (SNP-M) and gene expression assay (GEA). A 53-year-old man presented with a right ureteral obstruction. A cystoscopy showed a large pedunculated tumor emanating from the right ureteral orifice, consistent with a drop metastasis, which was biopsied. He had a history of a clear cell RCC (ccRCC) 1.5 years prior and a right renal pelvic mass found 8 months later. Histologically, the biopsied right ureteral tumor demonstrated sheets of poorly differentiated cancer cells composed of a mixture of spindled and focal clear cell components. The main differential diagnosis was metastatic RCC versus urothelial carcinoma, but the immunohistochemical profile was not contributory. SNP-M revealed a genomic profile consistent with a metastatic ccRCC with loss of chromosome 3p. GEA showed a gene expression pattern consistent with kidney origin. The cytogenomic array also identified chromosome copy number patterns that were shared between both kidney tumors. This finding suggests that both tumors had a common origin, and thus, the metachronous ccRCC in the contralateral kidney represents a metastasis.

Contemporary approach to diagnosis and classification of renal cell carcinoma with mixed histologic features.

Renal cell carcinoma (RCC) is an important contributor to cancer-specific mortality worldwide. Targeted agents that inhibit key subtype-specific signaling pathways have improved survival times and have recently become part of the standard of care for this disease. Accurately diagnosing and classifying RCC on the basis of tumor histology is thus critical. RCC has been traditionally divided into clear-cell and non-clear-cell categories, with papillary RCC forming the most common subtype of non-clear-cell RCC. Renal neoplasms with overlapping histologies, such as tumors with mixed clear-cell and papillary features and hybrid renal oncocytic tumors, are increasingly seen in contemporary practice and present a diagnostic challenge with important therapeutic implications. In this review, we discuss the histologic, immunohisto-chemical, cytogenetic, and clinicopathologic aspects of these differential diagnoses and illustrate how the classification of RCC has evolved to integrate both the tumor's microscopic appearance and its molecular fingerprint.

Sentinel lymph node biopsy in melanoma: beyond histologic factors.

Sentinel lymph node (SLN) biopsy should be performed with the technical expertise required to correctly identify the sentinel node, in the context of understanding both the likelihood of positivity in a given patient and the prognostic significance of a positive or negative result. National Comprehensive Cancer Network guidelines recommend SLN biopsy for all cutaneous melanoma patients with primary tumor thickness greater than 1 mm and in select patients with thickness between 0.8 and 1 mm, yet admit a lack of consistent clarity in its utility for prognosis and therapeutic value in tumors < 1 mm and leave the decision for undergoing the procedure up to the patient and treating physician. Recent studies have evaluated specific patient populations, tumor histopathologic characteristics, and gene expression profiling and their use in predicting SLN positivity. These data have given insight into improving the physician's ability to potentially predict SLN positivity, shedding light on if and when omission of SLN biopsy in specific patients based on clinicopathological characteristics might be appropriate. This review provides discussion and insight into these recent advancements.

Analytical validity of DecisionDx-SCC, a gene expression profile test to identify risk of metastasis in cutaneous squamous cell carcinoma (SCC) patients.

BACKGROUND: To improve identification of patients with cutaneous squamous cell carcinoma (SCC) at high risk for metastatic disease, the DecisionDx-SCC assay, a prognostic 40-gene expression profile (40-GEP) test, was developed and validated. The 40-GEP assay utilizes RT-PCR gene expression analysis on primary tumor biopsy tissue to evaluate the expression of 34 signature gene targets and 6 normalization genes. The test provides classifications of low risk (Class 1), moderate risk (Class 2A), and high risk (Class 2B) of metastasis within 3 years of diagnosis. The primary objective of this study was to validate the analytical performance of the 40-gene expression signature. METHODS: The repeatability and reproducibility of the 40-GEP test was evaluated by performance of inter-assay, intra-assay, and inter-operator precision experiments along with monitoring the reliability of sample and reagent stability for class call concordance. The technical performance of clinical orders from September 2020 through July 2021 for the 40-GEP test was assessed. RESULTS: Patient hematoxylin and eosin (H&E) stained slides were reviewed by a board-certified pathologist to assess minimum acceptable tumor content. Class specific controls (Class 1 and Class 2B) were evaluated with Levey-Jennings analysis and demonstrated consistent and reproducible results. Inter-assay, inter-operator and intra-assay concordance were all ≥90%, with short-term and long-term RNA stability also meeting minimum concordance requirements. Of the 2586 orders received, 93.5% remained eligible for testing, with 97.1% of all tested samples demonstrating actionable class call results. CONCLUSION: DecisionDx-SCC demonstrates a high degree of analytical precision, yielding high concordance rates across multiple performance experiments, along with exhibiting robust technical reliability on clinical samples.

Chromosome 14q loss defines a molecular subtype of clear-cell renal cell carcinoma associated with poor prognosis.

Loss of chromosome 14 has been associated with poor outcomes in clear-cell renal cell carcinoma. Expression of HIFα isoforms has been linked to distinct molecular phenotypes of clear-cell renal cell carcinoma. We hypothesized that chromosome 14 loss could lead to a decrease in HIF1α levels, as its gene (HIF1A) resides in this chromosome. We analyzed 112 archival clear-cell renal cell carcinoma tumor specimens with 250K SNP microarrays. We also evaluated expression of HIFα isoforms by qPCR and immunohistochemistry in a subset of 30 patients. Loss of chromosome 14q was associated with high stage (III-IV, P=0.001), high risk for recurrence (P=0.002, RR 2.78 (1.506-5.153)) and with decreased overall survival (P=0.030) in non-metastatic clear-cell renal cell carcinoma. HIF1α mRNA and protein expression was reduced in specimens with loss of 14q (P=0.014) whereas HIF2α was not. Gain of 8q was associated with decreased overall survival (P<0.0001). Our studies confirm an association between 14q loss and clinical outcome in non-metastatic clear-cell renal cell carcinoma patients and that 8q gain is a candidate prognostic marker for decreased overall survival and appears to further decrease survival in patients with 14q loss. We have also identified that differential expression of HIF1α is associated with 14q loss. Further exploration of 8q gain, 14q loss, MYC, HIF1A and EPAS1 (HIF2α) as molecular markers of tumor behavior and prognosis could aid in personalizing medicine for patients with clear-cell renal cell carcinoma.

Analytical Validation and Performance of a 7-Gene Next-Generation Sequencing Panel in Uveal Melanoma.

INTRODUCTION: Gene expression profiling (GEP) is widely used for prognostication in patients with uveal melanoma (UM). Because biopsy tissue is limited, it is critical to obtain as much genomic information as possible from each sample. Combined application of both GEP and next-generation sequencing (NGS) allows for analysis of RNA and DNA from a single biopsy sample, offers additional prognostic information, and can potentially inform therapy selection. This study evaluated the analytical performance of a targeted custom NGS panel for mutational profiling of 7 genes commonly mutated in UM. METHODS: One hundred five primary UM tumors were analyzed, including 37 formalin-fixed paraffin-embedded (FFPE) and 68 fine-needle aspiration biopsy specimens. Sequencing was performed on the Ion GeneStudio S5 platform to an average read depth of >500X per region of interest. RESULTS: The 7-gene panel achieved a positive percent agreement of 100% for detection of both single-nucleotide variants and insertions/deletions, with a technical positive predictive value of 98.8% and 100%, respectively. Intra-assay and inter-assay concordance studies confirmed the assay's reproducibility and repeatability. DISCUSSION/CONCLUSION: The 7-gene panel is a robust, highly accurate NGS test that can be successfully performed, along with GEP, from a single small-gauge needle biopsy sample or FFPE specimen.

Integrating 31-Gene Expression Profiling With Clinicopathologic Features to Optimize Cutaneous Melanoma Sentinel Lymph Node Metastasis Prediction.

National guidelines recommend sentinel lymph node biopsy (SLNB) be offered to patients with > 10% likelihood of sentinel lymph node (SLN) positivity. On the other hand, guidelines do not recommend SLNB for patients with T1a tumors without high-risk features who have < 5% likelihood of a positive SLN. However, the decision to perform SLNB is less certain for patients with higher-risk T1 melanomas in which a positive node is expected 5%-10% of the time. We hypothesized that integrating clinicopathologic features with the 31-gene expression profile (31-GEP) score using advanced artificial intelligence techniques would provide more precise SLN risk prediction. METHODS: An integrated 31-GEP (i31-GEP) neural network algorithm incorporating clinicopathologic features with the continuous 31-GEP score was developed using a previously reported patient cohort (n = 1,398) and validated using an independent cohort (n = 1,674). RESULTS: Compared with other covariates in the i31-GEP, the continuous 31-GEP score had the largest likelihood ratio (G2 = 91.3, P < .001) for predicting SLN positivity. The i31-GEP demonstrated high concordance between predicted and observed SLN positivity rates (linear regression slope = 0.999). The i31-GEP increased the percentage of patients with T1-T4 tumors predicted to have < 5% SLN-positive likelihood from 8.5% to 27.7% with a negative predictive value of 98%. Importantly, for patients with T1 tumors originally classified with a likelihood of SLN positivity of 5%-10%, the i31-GEP reclassified 63% of cases as having < 5% or > 10% likelihood of positive SLN, for a more precise, personalized, and clinically actionable SLN-positive likelihood estimate. CONCLUSION: These data suggest the i31-GEP could reduce the number of SLNBs performed by identifying patients with likelihood under the 5% threshold for performance of SLNB and improve the yield of positive SLNBs by identifying patients more likely to have a positive SLNB.

PTEN genomic deletion is associated with p-Akt and AR signalling in poorer outcome, hormone refractory prostate cancer.

PTEN haploinsufficiency is common in hormone-sensitive prostate cancer, though the incidence of genomic deletion and its downstream effects have not been elucidated in clinical samples of hormone refractory prostate cancer (HRPC). Progression to androgen independence is pivotal in prostate cancer and mediated largely by the androgen receptor (AR). Since this process is distinct from metastatic progression, we examined alterations of the PTEN gene in locally advanced recurrent, non-metastatic human HRPC tissues. Retrospective analyses of PTEN deletion status were correlated with activated downstream phospho-Akt (p-Akt) pathway proteins and with the androgen receptor. The prevalence of PTEN genomic deletions in transurethral resection samples of 59 HRPC patients with known clinical outcome was assessed by four-colour FISH analyses. FISH was performed using six BAC clones spanning both flanking PTEN genomic regions and the PTEN gene locus, and a chromosome 10 centromeric probe. PTEN copy number was also evaluated in a subset of cases using single nucleotide polymorphism (SNP) arrays. In addition, the samples were immunostained with antibodies against p-Akt, p-mTOR, p-70S6, and AR. The PTEN gene was deleted in 77% of cases, with 25% showing homozygous deletions, 18% homozygous and hemizygous deletions, and 34% hemizygous deletions only. In a subset of the study group, SNP array analysis confirmed the FISH findings. PTEN genomic deletion was significantly correlated to the expression of downstream p-Akt (p < 0.0001), AR (p = 0.025), and to cancer-specific mortality (p = 0.039). PTEN deletion is common in HRPC, with bi-allelic loss correlating to disease-specific mortality and associated with Akt and AR deregulation.

Gene Expression Profiling in Uveal Melanoma: Five-Year Prospective Outcomes and Meta-Analysis.

INTRODUCTION: The prognostic 15-gene expression profile (15-GEP) test for uveal melanoma (UM) predicts metastatic risk based on primary tumor biology. Here we report outcomes from a prospective registry of 15-GEP-tested patients, and a meta-analysis with published cohorts. OBJECTIVES: Management and 5-year clinical outcomes following 15-GEP testing were evaluated. METHODS: Eighty-nine patients with 15-GEP results were prospectively enrolled at four centers. Physician-recommended management plans were collected, and clinical outcomes tracked every 6 months. RESULTS: Eighty percent of Class 1 (low-risk) patients underwent low-intensity management; all Class 2 (high-risk) patients underwent high-intensity management (p < 0.0001). Median follow-up for event-free patients was 4.9 years. Five Class 1 (10%) and 23 Class 2 (58%) tumors metastasized (p < 0.0001). Five-year Class 1 and 2 metastasis-free survival rates were 90% (81-100%) and 41% (27-62%; p < 0.0001), and melanoma-specific survival rates were 94% (87-100%) and 63% (49-82%; p = 0.0007). Class 2 was the only independent predictor of metastasis and was associated with increased risk for metastasis and mortality by meta-analysis. CONCLUSIONS: UM patient management is guided by 15-GEP testing. Class 2 patients were managed more intensely, in accordance with an observed metastatic rate of >50%; Class 1 patients were safely spared intensive surveillance, resulting in appropriate utilization of healthcare resources.

Prospective evaluation of risk-appropriate management of uveal melanoma patients informed by gene expression profiling.

AIM: The Clinical Application of DecisionDx-UM Gene Expression Assay Results study aimed to evaluate the clinical utility of the prognostic 15-gene expression profile (15-GEP) test for uveal melanoma (UM) patients in a large, prospective multicenter cohort. PATIENTS & METHODS: Nine centers prospectively enrolled 138 UM patients clinically tested with the 15-GEP. Physician-recommended specialty referrals and metastatic surveillance regimens were collected. RESULTS: A total of 93% of high-risk class 2 patients were referred to medical oncology for follow-up, compared with 51% of class 1 patients. A majority (62%) of class 2 patients were recommended overall high-intensity metastatic surveillance, while 85% of class 1 patients were recommended low-intensity metastatic surveillance. CONCLUSION: Treatment plan recommendations for UM patients are aligned with GEP-informed metastatic risk, consistent with prior studies.

Interlaboratory performance of a microarray-based gene expression test to determine tissue of origin in poorly differentiated and undifferentiated cancers.

Clinical workup of metastatic malignancies of unknown origin is often arduous and expensive and is reported to be unsuccessful in 30 to 60% of cases. Accurate classification of uncertain primary cancers may improve with microarray-based gene expression testing. We evaluated the analytical performance characteristics of the Pathwork tissue of origin test, which uses expression signals from 1668 probe sets in a gene expression microarray, to quantify the similarity of tumor specimens to 15 known tissues of origin. Sixty archived tissue specimens from poorly and undifferentiated tumors (metastatic and primary) were analyzed at four laboratories representing a wide range of preanalytical conditions (eg, personnel, reagents, instrumentation, and protocols). Cross-laboratory comparisons showed highly reproducible results between laboratories, with correlation coefficients between 0.95 to 0.97 for measurements of similarity scores, and an average 93.8% overall concordance between laboratories in terms of final tissue calls. Bland-Altman plots (mean coefficients of reproducibility of 32.48+/-3.97) and kappa statistics (kappa >0.86) also indicated a high level of agreement between laboratories. We conclude that the Pathwork tissue of origin test is a robust assay that produces consistent results in diverse laboratory conditions reflecting the preanalytical variations found in the everyday clinical practice of molecular diagnostics laboratories.

p38 mitogen-activated protein kinase has different degrees of activation in myeloproliferative disorders and myelodysplastic syndromes.

The goal of the present study was to evaluate the activation patterns of p38 mitogen-activated protein kinase (MAPK) in myeloproliferative disorders (MPDs) and myelodysplastic syndromes (MDSs). Phosphorylated (activated) p38 MAPK was analyzed immunohistochemically in formalin-fixed decalcified bone marrow core biopsy specimens from 32 MPD, 33 MDS, and 11 control cases. Moderate p38 activation was commonly seen in MDS, whereas weak p38 activation was seen in all MPD cases and all control cases but 1 in the erythroid lineage. In myeloid and megakaryocytic lineages, strong p38 activation was more commonly observed in MDS compared with MPD (myeloid, 22/33 vs 2/32; P < .0001; megakaryocytic, 18/23 vs 5/32; P < .0001) and control (myeloid, 22/33 vs 2/11; P = .012; megakaryocytic, 18/23 vs 3/9; P = .035) cases. Furthermore, weak p38 activation was observed in myeloid and megakaryocytic lineages in MPD compared with control (myeloid, 15/32 vs 1/11; P = .033; megakaryocytic, 16/32 vs 0/9; P = .007) cases. Increased p38 MAPK activation may have a role in inhibiting hematopoiesis leading to cytopenias in MDS, and relatively decreased p38 activation in MPD might promote hematopoiesis, resulting in cytosis.

Optimization of the Affymetrix GeneChip Mapping 10K 2.0 Assay for routine clinical use on formalin-fixed paraffin-embedded tissues.

The use of chromosomal copy number changes as markers for tumor behavior or as prognostic markers for patient outcome has been suggested. However, current clinically used technologies cannot perform genome-wide assessment of chromosome copy number and analysis of loss of heterozygosity in the same assay for paraffin-embedded tissue. We have optimized the Affymetrix GeneChip Mapping Assay for the 10K 2.0 array for use with formalin-fixed, paraffin-embedded (FFPE) tissues. This technology uses single nucleotide polymorphism (SNP) arrays to assess the changes in chromosomal copy number and loss of heterozygosity. DNA from 3 paired tumor/normal samples of adrenal tumors and 4 samples of renal tumors were processed with modifications to the manufacturer's protocol. Modifications at different steps were evaluated for their effects on SNP signal-detection and call rates. Frozen samples showed 99.6%+/-0.3% signal-detection rates and 94.7%+/-3.0% SNP call rates. FFPE samples labeled with the original protocol failed to produce enough polymerase chain reaction products for hybridization, whereas the same samples processed with the optimized protocol had signal-detection rates of 97.4%+/-0.018% and SNP call rates of 90.9%+/-0.034%. The average SNP call concordance between fresh and matching FFPE samples was 96%. Chromosomal aberrations detected in the frozen tumors were also detected in the FFPE tissues. Our optimized protocol significantly improves the performance of the FFPE samples in the Affymetrix GeneMapping Assay with the 10K 2.0 SNP array. This optimized protocol opens up the potential for the GeneChip Mapping assay to be used in the development of clinical test assays.

Analytic validity of DecisionDx-Melanoma, a gene expression profile test for determining metastatic risk in melanoma patients.

BACKGROUND: The DecisionDx-Melanoma test provides prognostic information for patients with cutaneous melanoma (CM). Using formalin-fixed paraffin-embedded primary tumor tissue, the RT-PCR-based test classifies patients into a low- (Class 1) or high-risk (Class 2) category for recurrence based on expression of 31 genes. The current study was designed to assess the analytical validity of this test. METHODS: Inter-assay, inter-instrument, and inter-operator studies were performed to evaluate reliability of the 31-gene expression test results, sample stability and reagent stability. From March 2013 through June 2016, the gene expression test was performed on 8244 CM tumors. De-identified data from Pathology Reports were used to assess technical success. RESULTS: Robust sample and reagent stability was observed. Inter-assay concordance on 168 specimens run on 2 consecutive days was 99% and matched probability scores were significantly correlated (R2 = 0.96). Inter-instrument concordance was 95%, and probability scores had a correlation R2 of 0.99 (p < 0.001). From 8244 CM specimens submitted since 2013, 85% (7023) fulfilled pre-specified tumor content parameters. In these samples with sufficient tumor requirements, the technical success of the test was 98%. CONCLUSION: DecisionDx-Melanoma is a robust gene expression profile test that demonstrates strong reproducibility between experiments and has high technical reliability on clinical samples.

Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process.

BACKGROUND: Prostate cancer is characterized by heterogeneity in the clinical course that often does not correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. METHODS: Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors. RESULTS: The metastatic samples are highly heterogenous in expression; however, differential expression analysis shows that 415 genes are upregulated and 364 genes are downregulated at least 2 fold in every patient with metastasis. The expression profile of metastatic samples reveals changes in expression of a unique set of genes representing both the androgen ablation related pathways and other metastasis related gene networks such as cell adhesion, bone remodelling and cell cycle. The differentially expressed genes include metabolic enzymes, transcription factors such as Forkhead Box M1 (FoxM1) and cell adhesion molecules such as Osteopontin (SPP1). CONCLUSION: We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer.