177 Lu-PSMA-617 in Metastatic Castration-Resistant Prostate Cancer: A Review of the Evidence and Implications for Canadian Clinical Practice.
Kim N ChiSteven M YipGlenn BaumanStephan ProbstUrban EmmeneggerChristian K KollmannsbergerPatrick MartineauTamim NiaziFrédéric PouliotRicardo RendonSebastien J HotteDavid T LaidleyFred SaadPublished in: Current oncology (Toronto, Ont.) (2024)
Prostate-specific membrane antigen (PSMA) is highly expressed in prostate cancer and a therapeutic target. Lutetium-177 ( 177 Lu)-PSMA-617 is the first radioligand therapy to be approved in Canada for use in patients with metastatic castration-resistant prostate cancer (mCRPC). As this treatment represents a new therapeutic class, guidance regarding how to integrate it into clinical practice is needed. This article aims to review the evidence from prospective phase 2 and 3 clinical trials and meta-analyses of observational studies on the use of 177 Lu-PSMA-617 in prostate cancer and discuss how Canadian clinicians might best apply these data in practice. The selection of appropriate patients, the practicalities of treatment administration, including necessary facilities for treatment procedures, the assessment of treatment response, and the management of adverse events are considered. Survival benefits were observed in clinical trials of 177 Lu-PSMA-617 in patients with progressive, PSMA-positive mCRPC who were pretreated with androgen receptor pathway inhibitors and taxanes, as well as in taxane-naïve patients. However, the results of ongoing trials are awaited to clarify questions regarding the optimal sequencing of 177 Lu-PSMA-617 with other therapies, as well as the implications of predictive biomarkers, personalized dosimetry, and combinations with other therapies.
Keyphrases
- pet ct
- prostate cancer
- pet imaging
- clinical trial
- clinical practice
- end stage renal disease
- newly diagnosed
- radical prostatectomy
- squamous cell carcinoma
- systematic review
- prognostic factors
- healthcare
- randomized controlled trial
- multiple sclerosis
- meta analyses
- palliative care
- bone marrow
- patient reported outcomes
- quality improvement
- deep learning
- cell therapy
- electronic health record
- big data
- smoking cessation
- double blind
- artificial intelligence