Active clinical trials for "Prostatic Neoplasms"

The objective of this study is to compare the short-term and 1-yr follow-up functional outcomes of retzius-repairing robot-assisted radical prostatectomy (RR-RARP) with retzius-sparing (RS) RARP. This study is a single-centre, single-surgeon and a prospective randomized study.

This study assesses perceived usefulness of a web-based virtual prostate cancer genetics board for providers across academic, community, and veteran affairs settings to discuss prostate cancer genetics cases, precision treatment, and screening recommendation. Information gained from interviews and surveys of participants taking part in the virtual genetics board may lend insights into perceived usefulness, perceived ease of use, acceptability, self-efficacy, genetics knowledge, and barriers/facilitators to implementation to refine the process.

This study is evaluating the efficacy of cabazitaxel and hormonal treatment as neoadjuvant treatment for patients with clinically operable disease suitable for surgery, and a high risk of relapse after surgery

To evaluate the application value of customized ctDNA monitoring in efficacy assessment and prediction during PARPi treatment

This study seeks to determine the clinical impact of Gene Expression Classifier (GEC) testing in prostate cancer care while also developing a pragmatic approach for improved GEC clinical use and future study.

Approximately one third of prostate cancer patients experience biochemical relapse following initial radical prostatectomy or curative radiotherapy. To determine further treatment, it is of utmost importance to accurately differentiate local and regional recurrence from distant metastatic disease. Unfortunately, the currently used medical imaging methods (MRI and bone scan) lack sensitivity for detection of nodal and skeletal metastases, which can lead to over-treatment of patients with occult metastatic disease. PET imaging with prostate specific membrane antigen (PSMA)-ligands has shown a promising potential for improving the detection accuracy in recurrent prostate cancer, especially when combined with the excellent soft-tissue contrast of MRI. However, evidence is mostly based on retrospective single center studies so far, including patients with a wide variety of PSA levels. Improving the sensitivity for detection of metastatic disease is a crucial step in reducing over-treatment of prostate cancer patients with biochemical relapse following radical treatment. The purpose of this prospective multi-center study is to standardize PSMA PET/CT and PET/MRI imaging across three university hospitals in Norway, and investigate its merit for detection of recurrent prostate cancer. The long-term overall goal is offering prostate cancer patients a more personalized treatment plan aiming to improve the chances of survival and quality of life.

This is a prospective, randomized, open-label phase II study comparing cognitive outcomes between men with non-metastatic and metastatic castration-resistant prostate cancer (mCRPC or M0CRPC) treated with darolutamide or enzalutamide. Approximately 132 patients will be enrolled. Eligible patients will be randomized in a 1:1 fashion to treatment with enzalutamide 160 mg orally daily or darolutamide 600 mg orally twice daily, in combination with standard LHRH agonist based treatment. Cognitive assessments will be performed using modules from Cambridge Neuropsychological Test Automated Battery (CANTAB) an internationally recognized software for assessing cognitive function and impairment.

Final results from TITAN trial showed that apalutamide plus ADT improved OS in a population of patients with metastatic hormone sensitive prostate cancer (mHSPC), if compared to ADT alone. However, stereotactic body radiotherapy (SBRT) showed to improve outcomes of oligometastatic patients if compared to systemic therapy alone within modern randomized trial, including a mixed cohort of different pathologies. However, there are no trials specifically exploring the benefit offered by SBRT in oligometastatic mHSPC treated with Apalutamide if compared to Apalutamide alone associated to Androgen deprivation therapy. Thus, a randomized trial was designed to test specifically the hypotesis that SBRT will improve outcome in a selected population of oligometastatic mHSPC treated with Apalutamide and ADT, undergoing baseline staging according to local reimbursability.

At present, the most commonly used clinical screening tool is based on prostate-specific antigen (PSA) examination. Because PSA is a tissue-specific rather than a tumor-specific marker, it has low specificity and sensitivity for prostate cancer. Although these PSA-related diagnostic models (PHI, 4Kscore) have been proved to improve the sensitivity and specificity of the early diagnosis of prostate cancer, they still do not meet the requirements of accurate diagnosis. Therefore, it is extremely important to develop a diagnosis tool with higher specificity, sensitivity and accuracy in the current prostate tumor screening strategy. Raman spectroscopy (Raman Spectrum, RS) as a non-invasive and high specificity of material molecular detection technology, can be obtained in the molecular level, thus sensitive to detect biological samples tumor metabolism related proteins, nucleic acids, lipids and sugar composition of bio-molecules changes. As scientists pointed out in a literature in "chemical society reviews"in 2020, although SERS technology has shown good diagnostic efficacy in lots of preclinical studies in multiple tumors, it is limited to a generally small sample size and lacks external validation. There for, a clinical study of Raman spectra for tumor diagnosis is needed, which meets the following requirements: 1.An objective, fast and practical application of Raman spectral data processing is needed and deep learning method may be the best classification method; 2. It requires multicenter and large clinical samples to train deep learning diagnostic model, and verify its true efficacy through external data of prospective study. In our preliminary study,we have collected Raman spectra data from a large cohort of 2899 patients and constructed Raman intelligent diagnostic system based on CNN model. The intelligent diagnostic system achieved accuracy of 83%. In order to obtain the highest level of clinical evidence and truly realize clinical transformation, this prospective, multi-center clinical study is designed to verify the intelligent diagnostic system for early diagnosis of prostate cancer.

This phase II trial tests how well pertuzumab, trastuzumab, hyaluronidase-zzxf and enzalutamide works in treating patients with castration-resistant prostate cancer that has spread from where it first started to other places in the body (metastatic). Pertuzumab and trastuzumab are monoclonal antibodies and forms of targeted therapy that attach to a receptor protein called human epidermal growth factor receptor-2 (HER2). HER2 is found on some cancer cells. When pertuzumab or trastuzumab attach to HER2, the signals that tell the cells to grow are blocked and the tumor cell may be marked for destruction by the body's immune system. Hyaluronidase is an endoglycosidase. It helps to keep pertuzumab and trastuzumab in the body longer, so that these medications will have a greater effect. Hyaluronidase also allows pertuzumab and trastuzumab to be given by injection under the skin and shortens their administration time compared to pertuzumab or trastuzumab alone. Chemotherapy drugs, such as enzalutamide, work in different ways to stop the growth of cancer cells, either by killing the cells, by stopping them from dividing, or by stopping them from spreading. Giving pertuzumab, trastuzumab, hyaluronidase-zzxf and enzalutamide may kill more cancer cells.