The Role of Histology-Agnostic Drugs in the Treatment of Metastatic Castration-Resistant Prostate Cancer.
Giovanni Maria IannantuonoFrancesco TorinoRoberto RosenfeldSimona GuerrieroManuela CarlucciStefano SgangaBarbara CapotondiSilvia RiondinoMario RoselliPublished in: International journal of molecular sciences (2022)
Precision medicine has opened up a new era in the development of anti-cancer agents that is focused on identifying biomarkers predictive of treatment response regardless of tumor histology. Since 2017, the Food and Drug Administration has approved six drugs with histology-agnostic indications: pembrolizumab (both for tumors with the mismatch-repair deficiency (dMMR)/high microsatellite instability (MSI-H) phenotype and for those with the high tumor mutational burden (TMB-H) phenotype), dostarlimab (for dMMR tumors), larotrectinib and entrectinib (for tumors harboring neurotrophic tyrosine receptor kinase (NTRK) fusions), and the combination of dabrafenib plus trametinib (for BRAF V600E-mutated tumors). The genomic alterations targeted by these antineoplastic agents are rare in metastatic castration-resistant prostate cancer (mCRPC). Furthermore, only a small number of mCRPC patients were enrolled in the clinical trials that led to the approval of the above-mentioned drugs. Therefore, we critically reviewed the literature on the efficacy of histology-agnostic drugs in mCRPC patients. Although the available evidence derives from retrospective studies and case reports, our results confirmed the efficacy of pembrolizumab in dMMR/MSI-H mCRPC. In contrast, few data are available for dostarlimab, larotrectinib, entrectinib, and dabrafenib-trametinib in this subset of patients. Large, multi-institutional registries aimed at collecting real-world data are needed to better comprehend the role of tissue-agnostic drugs in mCRPC patients.
Keyphrases
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- ejection fraction
- clinical trial
- small cell lung cancer
- squamous cell carcinoma
- prognostic factors
- randomized controlled trial
- systematic review
- magnetic resonance imaging
- electronic health record
- patient reported outcomes
- advanced non small cell lung cancer
- epidermal growth factor receptor
- big data
- patient reported
- binding protein
- deep learning