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CHUM-Centre Hospitalier de l'Universite de Montreal

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MONTREAL, Quebec H2X 3E4

Global Leader in Breast Cancer

Global Leader in Lung Cancer

Conducts research for Prostate Cancer

Conducts research for Cancer

Conducts research for Pancreatic Cancer

466 reported clinical trials

99 medical researchers

Photo of CHUM-Centre Hospitalier de l'Universite de Montreal in MONTREALPhoto of CHUM-Centre Hospitalier de l'Universite de Montreal in MONTREALPhoto of CHUM-Centre Hospitalier de l'Universite de Montreal in MONTREAL

Summary

CHUM-Centre Hospitalier de l'Universite de Montreal is a medical facility located in MONTREAL, Quebec. This center is recognized for care of Breast Cancer, Lung Cancer, Prostate Cancer, Cancer, Pancreatic Cancer and other specialties. CHUM-Centre Hospitalier de l'Universite de Montreal is involved with conducting 466 clinical trials across 625 conditions. There are 99 research doctors associated with this hospital, such as Daniel Von Renteln, MD, Diane Provencher, MD, FRCSC, Jean Raymond, MD, and Moishe Liberman, MD.

Area of expertise

1

Breast Cancer

Global Leader

CHUM-Centre Hospitalier de l'Universite de Montreal has run 66 trials for Breast Cancer. Some of their research focus areas include:

Stage IV
HER2 negative
Stage III
2

Lung Cancer

Global Leader

CHUM-Centre Hospitalier de l'Universite de Montreal has run 49 trials for Lung Cancer. Some of their research focus areas include:

Stage IV
Stage III
Stage II

Top PIs

Clinical Trials running at CHUM-Centre Hospitalier de l'Universite de Montreal

Prostate Cancer

Breast Cancer

Cancer

Lung Cancer

Head and Neck Cancers

Colorectal Cancer

Cardiovascular Disease

Oropharyngeal Cancer

Brain Tumor

Glaucoma

Image of trial facility.

Darolutamide + SBRT

for Prostate Cancer

This trial tests a combination of precise radiation therapy and a hormone-blocking drug in prostate cancer patients with limited spread. It aims to control the disease and delay more toxic treatments. The approach targets small areas of cancer spread and blocks the cancer's growth signals. The hormone-blocking drug is a novel treatment approved for specific prostate cancer cases.

Recruiting

2 awards

Phase 2

3 criteria

Image of trial facility.

PSMA-PET Imaging

for Prostate Cancer

Prostate cancer (PCa) is the most common non-skin malignancy and the third leading cause of cancer death in North American men. The accurately mapped metastatic state is a necessary prerequisite to guiding treatment in practice and in clinical trials. Imaging biomarkers (BMs) can provide information on disease volume and distribution, prognosis, changes in biologic behavior, therapy-induced changes (both responders and non-responders), durations of response, emergence of treatment resistance, and the host reaction to the therapies. Of particular relevance to metastatic prostate cancer is the emergence of a promising imaging technique involving new prostate specific membrane antigen (PSMA) positron emission tomography (PET) tracers. This approach has demonstrated higher sensitivity in detecting metastases, prior to and during therapy, than current imaging standard of care (CT and bone scan), and is not widely clinically available outside of the research realm in North America. Positron emission tomography / computer tomography (PET/CT) is a nuclear medicine diagnostic imaging procedure based on the measurement of positron emission from radiolabeled tracer molecules in vivo. PSMA is a homodimeric type II membrane metalloenzyme that functions as a glutamate carboxypeptidase/folate hydrolase and is overexpressed in PCa. PSMA is expressed in the vast majority of PCa tissue specimens and its degree of expression correlates with a number of important metrics of PCa tumor aggressiveness including Gleason score, propensity to metastasize and the development of castration resistance. \[18F\]DCFPyL is a promising high-sensitivity second generation PSMA-targeted urea-based PET probe. Studies employing second-generation PSMA PET/CT imaging in men with biochemical progression after definitive therapy suggest detection of metastases in over 60% of men imaged. Deep learning is defined as a variant of artificial neural networks, using multiple layers of 'neurons'. Deep learning has been investigated in medical imaging in numerous applications across organ systems. In oncology, basic artificial neural networks to support decision-making have previously been developed retrospectively in breast cancer and prostate cancer, but have not been validated or integrated prospectively. Novel data-driven methods are needed to predict outcomes as early as possible in order to guide the duration and the aggressiveness of a particular therapy. They are also needed for optimal patient selection based on the patient's response to a given therapy. Here the investigators hypothesize that the combination of a highly performing prostate cancer imaging technique combined with machine learning has high potential. The main objective of this study is to acquire PSMA-PET data in patients with prostate cancer who receive treatment and follow-up in order to enable the discovery of predictive imaging biomarkers through deep learning techniques.

Recruiting

2 awards

Phase 3

1 criteria

Image of trial facility.

Opevesostat + Hormone Therapy

for Prostate Cancer

This trial is testing a new drug called opevesostat for advanced prostate cancer patients who don't respond to usual care. The drug aims to stop the cancer from growing and spreading, potentially helping patients live longer.

Recruiting

2 awards

Phase 3

10 criteria

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