[Prostate specific antigen and NF-kB in prostatic disease: relation with malignancy]

PD-1 inhibitor combined with Docetaxel exerts synergistic anti-prostate cancer effect in mice by down-regulating the expression of PI3K/AKT/NFKB-P65/PD-L1 signaling pathway

BACKGROUND

Docetaxel is a yew compound antitumor agent with accurate antitumor efficacy, but its application is limited due to the high and serious adverse effects, and finding effective combination therapy options is a viable strategy. Immune checkpoint inhibitors have become hotspots in enhancing anti-tumor immunity by blocking immune checkpoint signaling pathways, but their response rate to monotherapy use is not high and the efficacy is minimal.

OBJECTIVE

To explore the anti-tumor effects and mechanisms of the combination of PD-1 inhibitors and Docetaxel through in vivo experiments and develop a feasible combination treatment for the therapy of prostate cancer.

METHODS

Tumor-bearing mice were subcutaneously injected with 0.1 ml RM-1 cells. Treatment were taken when the tumor growed up to 3 mm, after which the tumor and spleen were removed to test the antitumor effect with Flow cytometric (FACS) analysis, Immunohistochemistry, Western Blot.

RESULTS

In this experiment, we found that PD-1 inhibitors combined with Docetaxel had a synergistic effect on mouse prostate cancer, inhibited the growth of prostate cancer, improved survival and reduced adverse reactions, increased spleen and tumor infiltrative CD4+ and CD8+ T cells, especially in group combination with low-dose Docetaxel, and were related to the PI3K/AKT/NFKB-P65/PD-L1 signaling pathway.

CONCLUSION

Our study confirms that PD-1 inhibitors in combination with Docetaxel are a viable combination strategy and provide a safe and effective combination option for the clinical treatment of prostate cancer.

Growth and differentiation factor 15 and NF-κB expression in benign prostatic biopsies and risk of subsequent prostate cancer detection

Growth and differentiation factor 15 (GDF‐15), also known as macrophage inhibitory cytokine 1 (MIC‐1), may act as both a tumor suppressor and promotor and, by regulating NF‐κB and macrophage signaling, promote early prostate carcinogenesis. To determine whether expression of these two inflammation‐related proteins affect prostate cancer susceptibility, dual immunostaining of benign prostate biopsies for GDF‐15 and NF‐κB was done in a study of 503 case‐control pairs matched on date, age, and race, nested within a historical cohort of 10,478 men. GDF‐15 and NF‐κB expression levels were positively correlated (r = 0.39; p < 0.0001), and both were significantly lower in African American (AA) compared with White men. In adjusted models that included both markers, the odds ratio (OR) for NF‐κB expression was statistically significant, OR =0.87; p = 0.03; 95% confidence interval (CI) =0.77–0.99, while GDF‐15 expression was associated with a nominally increased risk, OR =1.06; p = 0.27; 95% CI =0.96–1.17. When modeling expression levels by quartiles, the highest quartile of NF‐κB expression was associated with almost a fifty percent reduction in prostate cancer risk (OR =0.51; p = 0.03; 95% CI =0.29–0.92). In stratified models, NF‐κB had the strongest negative association with prostate cancer in non‐aggressive cases (p = 0.03), older men (p = 0.03), and in case‐control pairs with longer follow‐up (p = 0.02). Risk associated with GDF‐15 expression was best fit using nonlinear regression modeling where both first (p = 0.02) and second (p = 0.03) order GDF‐15 risk terms were associated with significantly increased risk. This modeling approach also revealed significantly increased risk associated with GDF‐15 expression for subsamples defined by AA race, aggressive disease, younger age, and in case‐control pairs with longer follow‐up. Therefore, although positively correlated in benign prostatic biopsies, NF‐κB and GDF‐15 expression appear to exert opposite effects on risk of prostate tumor development.

Expression of several cytokines in prostate cancer: Correlation with clinical variables of patients. Relationship with biochemical progression of the malignance

BACKGROUND

This work is focused on finding new markers that complement or diagnoses currently used towards improving knowledge histological and statistical aspects that allow us to predict the local stage carcinomas and to identify and understand all the factors related to the progression of this disease.

MATERIALS AND METHODS

Prostates were obtained from: normal prostates from 20 men, diagnosis of BPH (Benign Prostatic Hyperplasia) from 35 men and prostate cancer from 86 men. We studied the behavior of cytokines that have been implicated in inflammatory processes: TNF-alfa, IL-6, IL-1, EGF and TGF-B. Expression of these cytokines and its receptors was analyzed by immunohistochemistry. Spearman's test, Kaplan-Meier curves, univariate and multivariate Cox proportional hazard regression analyses were performed.

RESULTS

Spearman's analysis showed that there was at least one correlation between TGFB-B, IL-6, gp-130, IL-1B, IL-1R, IL-1RII and clinic pathological feature (preoperative serum PSA, clinical t stage, pathological t stage, positive surgical margins, biochemical progression, survival). Immunostaining score was correlated with some of the clinicopathological feature. In Cox multivariate analysis between the prognostic variables (pathological T stage, Gleason score and lymph node) and immunohistochemical parameters (TGF-B, IL-1a, intensity TGFBRI and intensity TGFBRII) only the expression of IL-1a was retained as independent predictors of biochemical progression after radical prostatectomy.

CONCLUSIONS

Our results suggest a role for prostatic expression of TGF-B, IL-1a, TGFBRI and TGFBRII as prognostic markers for prostate cancer. The rational combination of novel agents directed toward the inactivation of TGF-B, IL-1a, TGFBRI and TGFBRII could disrupt complementary tumor cell proliferation pathways.

Binding force measurement of NF-κB-ODNs interaction: an AFM based decoy and drug testing tool

Interaction between transcription factors and DNA are essential for regulating gene transcription. The Nuclear factor-κB (NF-κB) is a ubiquitous transcription factor involved in cell signalling and its failure is a principal cause of several autoimmune and auto-inflammatory disorders. In this paper we have developed an atomic force microscopy (AFM) method to quantitatively characterise the interaction force between NF-κB and DNA or LNA (locked nucleic acid) double strand molecules containing the NF responsive elements (RE). This process allows the simple testing and selection of LNA based decoy molecules to be used in NF-κB modulation decoy strategies. Furthermore the proposed methodology is also suitable for testing drug efficacy on the modulation of NF-κB binding to its nucleic acid target sequence. A biological AFM based sensor is therefore considered appropriate for characterising transcription factors and selecting molecules to modulate their activity.