The outcome of prostate cancer patients treated with curative intent strongly depends on survival after metastatic progression.

BACKGROUND: Five-year survival in patients with localized prostate cancer (PCa) is nearly 100%, but metastatic disease still remains incurable. Clinical management of metastatic patients has become increasingly complex as novel therapeutic strategies have emerged. This study aims at evaluating the impact of the first metastatic progression on the outcome of PCa patients treated with curative intent. METHODS: The analysis was conducted using data of 913 cases of localized PCa diagnosed between 2000 and 2014. All patients were treated with curative surgery (N = 382) or radiotherapy (N = 531) with or without adjuvant therapy. All metastases were radiologically documented. The prognostic impact of the first site of metastasis on metastasis-free survival (MFS) and PCa-specific survival (PCaSS) was investigated by univariate and multivariate analyses. RESULTS: One hundred and thirty-six (14.9%) patients developed a metastatic hormone-sensitive PCa and had a median PCaSS of 50.4 months after first metastatic progression. Bone (N = 50, 36.8%) and LN or locoregional (N = 52, 38.2%) metastases occurred more frequently with a median PCaSS of 39.7 and 137 months respectively (p < 0.0001). Seven patients developed visceral metastasis only (5.1%; liver, lung, brain) and 27 (19.9%) concurrent metastases; this last group was associated with the worst survival with a median value of only 17 months. Thus, each subgroup exhibited a survival after metastasis significantly different from each other. In multivariate analysis the site of the first metastasis was an independent prognostic factor for PCaSS along with Gleason score at diagnosis. The correlation between survival and first site of metastasis was confirmed separately for each therapy subgroup. Median metastasis-free survival from primary diagnosis to first metastasis was not correlated with the first site of metastasis. CONCLUSIONS: In non-metastatic PCa patients treated with curative intent, the PCa-specific survival time depends on the time after metastatic progression rather than the time from diagnosis to metastasis. Moreover, the site of first metastasis is an independent prognostic factor for PCaSS. Our data confirm that the first metastatic event may confer a differential prognostic impact and may help in identifying patient at high risk of death supporting the treatment-decision making process following metastatic progression.

The proliferation marker Ki67, but not neuroendocrine expression, is an independent factor in the prediction of prognosis of primary prostate cancer patients.

BACKGROUND: Neuroendocrine markers, which could indicate for aggressive variants of prostate cancer and Ki67 (a well-known marker in oncology for defining tumor proliferation), have already been associated with clinical outcome in prostate cancer. The aim of this study was to investigate the prognostic value of those markers in primary prostate cancer patients. PATIENTS AND METHODS: NSE (neuron specific enolase), ChrA (chromogranin A), Syp (Synaptophysin) and Ki67 staining were performed by immunohistochemistry. Then, the prognostic impact of their expression on overall survival was investigated in 166 primary prostate cancer patients by univariate and multivariate analyses. RESULTS: NSE, ChrA, Syp and Ki67 were positive in 50, 45, 54 and 146 out of 166 patients, respectively. In Kaplan-Meier analysis only diffuse NSE staining (negative vs diffuse, p = 0.004) and Ki67 (≤ 10% vs > 10%, p < 0.0001) were significantly associated with overall survival. Ki67 expression, but not NSE, resulted as an independent prognostic factor for overall survival in multivariate analysis. CONCLUSIONS: A prognostic model incorporating Ki67 expression with clinical-pathological covariates could provide additional prognostic information. Ki67 may thus improve prediction of prostate cancer outcome based on standard clinical-pathological parameters improving prognosis and management of prostate cancer patients.

Current evidence between hospital volume and perioperative outcome: Prospective assessment of robotic radical prostatectomy safety profile in a regional center of medium annual caseload.

INTRODUCTION: We aimed to present the safety profile of robotic radical prostatectomy (RARP) performed in a single center of medium surgical volume since its introduction and identify predictors of postoperative complications. METHODS: We prospectively collected clinical data from 317 consecutive patients undergoing RARP between August 2011 and November 2019 in a medium-volume center. Surgical procedures were performed by a single experienced surgeon. Complications were collected according to the Martin criteria for reporting and the Clavien-Dindo classification for rating. Preoperative, intraoperative, and postoperative data were analyzed and compared with available literature. RESULTS: A total of 102 complications were observed in 96 (30.3%) patients and were minor in 84.4% of cases (Clavien grade 1 and 2). Transfusion rate was 1.3%. Complications of grade 4b or 5 did not occur. The most frequent complications were urinary retention (7.3%) and anastomotic leak (5.9%). At multivariate analysis, the nerve-sparing technique was an independent predictor of complications (odds ratio [OR] 0.55, p=0.02). CONCLUSIONS: The study shows that a high safety profile may be achieved in a medium-volume hospital. The nerve-sparing technique was a predictor of complications. Further studies are needed to define the current relationship between surgical volume and perioperative outcome for RARP.

Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progression.

Comprehensive genomic studies have delineated key driver mutations linked to disease progression for most cancers. However, corresponding transcriptional changes remain largely elusive because of the bias associated with cross-study analysis. Here, we overcome these hurdles and generate a comprehensive prostate cancer transcriptome atlas that describes the roadmap to tumor progression in a qualitative and quantitative manner. Most cancers follow a uniform trajectory characterized by upregulation of polycomb-repressive-complex-2, G2-M checkpoints, and M2 macrophage polarization. Using patient-derived xenograft models, we functionally validate our observations and add single-cell resolution. Thereby, we show that tumor progression occurs through transcriptional adaption rather than a selection of pre-existing cancer cell clusters. Moreover, we determine at the single-cell level how inhibition of EZH2 - the top upregulated gene along the trajectory - reverts tumor progression and macrophage polarization. Finally, a user-friendly web-resource is provided enabling the investigation of dynamic transcriptional perturbations linked to disease progression.