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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Emerging Biomarker-Guided Therapies in Prostate Cancer
Jasna E Deluce1, Luisa Cardenas2, Aly-Khan Lalani2
1Division of Medical Oncology, Department of Oncology, Schulich School of Medicine & Dentistry, London Health Sciences Centre, Western University, London, ON N6A 5W9, Canada.
Abstract:
Prostate cancer remains one of the leading causes of cancer death in men worldwide. In the past decade, several new treatments for advanced prostate cancer have been approved. With a wide variety of available drugs, including cytotoxic agents, androgen receptor axis-targeted therapies, and alpha-emitting radiation therapy, identifying their optimal sequencing remains a challenge. Progress in the understanding of the biology of prostate cancer has provided an opportunity for a more refined and personalized treatment selection process. With the advancement of molecular sequencing techniques, genomic precision through the identification of potential treatment targets and predictive biomarkers has been rapidly evolving. In this review, we discussed biomarker-driven treatments for advanced prostate cancer. First, we presented predictive biomarkers for established, global standard treatments for advanced diseases, such as chemotherapy and androgen receptor axis-targeted agents. We also discussed targeted agents with recent approval for special populations, such as poly ADP ribose polymerase (PARP) inhibitors in patients with metastatic castrate-resistant prostate cancer with homologous recombination repair-deficient tumors, pembrolizumab in patients with high levels of microsatellite instability or high tumor mutational burden, and prostate-specific membrane antigen (PSMA) directed radioligand theragnostic treatment for PSMA expressing tumors. Additionally, we discussed evolving treatments, such as cancer vaccines, chimeric antigen receptor T-cells (CAR-T), Bispecific T-cell engagers (BiTEs), other targeted agents such as AKT inhibitors, and various combination treatments. In summary, advances in molecular genetics have begun to propel personalized medicine forward in the management of advanced prostate cancer, allowing for a more precise, biomarker-driven treatment selection with the goal of improving overall efficacy.
Insights
Biomarker-driven treatments are revolutionizing advanced prostate cancer care. Molecular genetics enables personalized medicine, improving treatment selection and efficacy for better patient outcomes.
Area of Science:
- Oncology
- Genetics
- Personalized Medicine
Background:
- Prostate cancer is a leading cause of male cancer deaths globally.
- Numerous treatments for advanced prostate cancer exist, but optimal sequencing is challenging.
- Advances in understanding prostate cancer biology and molecular sequencing are driving personalized treatment approaches.
Purpose of the Study:
- To review biomarker-driven treatments for advanced prostate cancer.
- To discuss predictive biomarkers for standard and novel therapies.
- To explore emerging treatments and combination strategies.
Main Methods:
- Review of current literature on advanced prostate cancer treatments.
- Discussion of predictive biomarkers for chemotherapy and androgen receptor axis-targeted agents.
- Analysis of targeted therapies including PARP inhibitors, pembrolizumab, and PSMA-targeted radioligand therapy.
Main Results:
- Established treatments have predictive biomarkers for improved efficacy.
- Novel targeted agents like PARP inhibitors and pembrolizumab show promise in specific patient populations.
- Emerging therapies include cancer vaccines, CAR-T cells, BiTEs, AKT inhibitors, and combination treatments.
Conclusions:
- Molecular genetics advances are enabling precise, biomarker-driven treatment selection in advanced prostate cancer.
- Personalized medicine strategies aim to enhance treatment efficacy and patient outcomes.
- Ongoing research into novel therapies and combinations holds significant promise for future management.
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