Inflammatory infiltration is associated with AR expression and poor prognosis in hormone naïve prostate cancer.

BACKGROUND: Tumor microenvironment inflammatory infiltration is proposed as a protumorigenic mechanism for prostate cancer with proinflammatory cytokines stimulating androgen receptor (AR) activity. However, association with patient prognosis remains unclear. This study derives an inflammatory gene signature associated with AR expression and investigates CD3+ and CD8+ T-lymphocyte infiltration association with AR and prognosis. METHODS: Gene profiling of inflammatory related genes was performed on 71 prostate biopsies. Immunohistochemistry on 243 hormone-naïve prostate cancers was performed for CD3, CD8, AR, and phosphorylated AR tumor expression. RESULTS: Multiple proinflammatory genes were differentially expressed in association with high AR expression compared with low AR expression including PI3KCA and MAKP8 (adjusted P < .05). High CD3+ and high CD8+ infiltration associated with reduced cancer-specific survival (P = .018 and P = .020, respectively). High CD3+ infiltration correlated with high tumor cytoplasmic AR expression and if assessed together, they associated with reduced cancer-specific and 5-year survival from 90% to 56% (P = .000179). High CD8+ cytotoxic infiltration associated with high androgen-independent tumor nuclear AR serine 213 phosphorylation (correlation coefficient = 0.227; P = .003) and when assessed together associated with poor clinico-pathological features including perineural invasion (P = .001). Multiple genes involved in proinflammatory signaling pathways are upregulated in high AR expressing prostate samples. CONCLUSION: T-lymphocyte infiltration in hormone-naïve disease associates with androgen-independent driven disease and provides possible therapeutic targets to reduce transformation from hormone-naïve to castrate-resistant disease.

Drug screening of biopsy-derived spheroids using a self-generated microfluidic concentration gradient.

Performing drug screening of tissue derived from cancer patient biopsies using physiologically relevant 3D tumour models presents challenges due to the limited amount of available cell material. Here, we present a microfluidic platform that enables drug screening of cancer cell-enriched multicellular spheroids derived from tumour biopsies, allowing extensive anticancer compound screening prior to treatment. This technology was validated using cell lines and then used to screen primary human prostate cancer cells, grown in 3D as a heterogeneous culture from biopsy-derived tissue. The technology enabled the formation of repeatable drug concentration gradients across an array of spheroids without external fluid actuation, delivering simultaneously a range of drug concentrations to multiple sized spheroids, as well as replicates for each concentration. As proof-of-concept screening, spheroids were generated from two patient biopsies and a panel of standard-of-care compounds for prostate cancer were tested. Brightfield and fluorescence images were analysed to provide readouts of spheroid growth and health, as well as drug efficacy over time. Overall, this technology could prove a useful tool for personalised medicine and future drug development, with the potential to provide cost- and time-reduction in the healthcare delivery.

Androgen receptor phosphorylation status at serine 578 predicts poor outcome in prostate cancer patients.

PURPOSE: Prostate cancer growth is dependent upon androgen receptor (AR) activation, regulated via phosphorylation. Protein kinase C (PKC) is one kinase that can mediate AR phosphorylation. This study aimed to establish if AR phosphorylation by PKC is of prognostic significance. METHODS: Immunohistochemistry for AR, AR phosphorylated at Ser-81 (pARS81), AR phosphorylated at Ser-578 (pARS578), PKC and phosphorylated PKC (pPKC) was performed on 90 hormone-naïve prostate cancer specimens. Protein expression was quantified using the weighted histoscore method and examined with regard to clinico-pathological factors and outcome measures; time to biochemical relapse, survival from biochemical relapse and disease-specific survival. RESULTS: Nuclear PKC expression strongly correlated with nuclear pARS578 (c.c. 0.469, p=0.001) and cytoplasmic pARS578 (c.c. 0.426 p=0.002). High cytoplasmic and nuclear pARS578 were associated with disease-specific survival (p<0.001 and p=0.036 respectively). High nuclear PKC was associated with lower disease-specific survival when combined with high pARS578 in the cytoplasm (p=0.001) and nucleus (p=0.038). Combined high total pARS81 and total pARS578 was associated with decreased disease-specific survival (p=0.005). CONCLUSIONS: pARS578 expression is associated with poor outcome and is a potential independent prognostic marker in hormone-naïve prostate cancer. Furthermore, PKC driven AR phosphorylation may promote prostate cancer progression and provide a novel therapeutic target.