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Accelerating precision medicine in metastatic prostate cancer.

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TLDR
How to accelerate precision oncology to inform broader genomically-driven clinical decisions for men with advanced prostate cancer, drug development and ultimately contribute to new treatment paradigms is discussed.
Abstract
Despite advances in the screening and treatment of prostate cancer, the therapy options available, particularly for later stages of the disease, remain limited, and the treatment-resistant setting represents a serious unmet medical need. Moreover, disease heterogeneity and disparities in patient access to medical advances result in considerable variability in outcomes across patients. Disease classification based on genomic sequencing is a promising approach for identifying patients whose tumors exhibit actionable targets and for making more informed treatment decisions. Here we discuss how precision oncology can be accelerated to inform broader genomically driven clinical decisions for men with advanced prostate cancer, to inform drug development and, ultimately, to contribute to new treatment paradigms. Beltran and colleagues discuss the challenges in treating metastatic prostate cancer and strategies to accelerate precision oncology and improve therapy and clinical decisions in this setting.

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Tumor Genomic Testing for >4,000 Men with Metastatic Castration-resistant Prostate Cancer in the Phase III Trial PROfound (Olaparib)

TL;DR: In the phase III PROfound study as discussed by the authors , an investigational clinical trial assay, based on the FoundationOneCDx tissue test, was used to prospectively identify patients with qualifying homologous recombination repair gene alterations.
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Tumor microenvironment heterogeneity an important mediator of prostate cancer progression and therapeutic resistance

TL;DR: In this article , the authors discuss how nongenetic factors contribute to heterogeneity of prostate cancer and summarize the challenges targeting the tumor environments, and emphasize that continued exploration of tumor heterogeneity is needed in order to offer a personalized therapy for advanced prostate cancer patients.
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Gene expression based inference of cancer drug sensitivity

TL;DR: In this article , a predictive modeling approach to infer treatment response in cancers using gene expression data was proposed, and the benefits of considering pathway activity estimates in tandem with drug descriptors as features were demonstrated.
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Post-Translational Modifications That Drive Prostate Cancer Progression

TL;DR: A comprehensive list of proteome-wide and single protein post-translational modifications and their involvement in phenotypic outcomes is presented in this paper, where the data on phosphorylation, glycosylation, ubiquitination, SUMOylation and lipidation in prostate cancer and the enzymes involved are collected.
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Patient derived organoids in prostate cancer: improving therapeutic efficacy in precision medicine.

TL;DR: In this paper, the authors evaluate the advances in 3D culture and PDO use to model clonal heterogeneity and screen for effective targeted therapies, with a focus on the technological advances in generating PDOs.
References
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Docetaxel plus Prednisone or Mitoxantrone plus Prednisone for Advanced Prostate Cancer

TL;DR: When given with prednisone, treatment with docetaxel every three weeks led to superior survival and improved rates of response in terms of pain, serum PSA level, and quality of life, as compared with mitoxantrone plusprednisone.