scholarly journals Immunotherapy as a Precision Medicine Tool for the Treatment of Prostate Cancer

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 173
Author(s):  
Maria Adamaki ◽  
Vassilios Zoumpourlis
Keyword(s):  
Prostate Cancer ◽  
Precision Medicine ◽  
Checkpoint Inhibitors ◽  
Invasive Disease ◽  
Patient Specific ◽  
Treatment Alternative ◽  
Substantial Evidence ◽  
Significant Survival ◽  
Localized Disease ◽  
Specific Antigens

Prostate cancer (PCa) is the most frequently diagnosed type of cancer among Caucasian males over the age of 60 and is characterized by remarkable heterogeneity and clinical behavior, ranging from decades of indolence to highly lethal disease. Despite the significant progress in PCa systemic therapy, therapeutic response is usually transient, and invasive disease is associated with high mortality rates. Immunotherapy has emerged as an efficacious and non-toxic treatment alternative that perfectly fits the rationale of precision medicine, as it aims to treat patients on the basis of patient-specific, immune-targeted molecular traits, so as to achieve the maximum clinical benefit. Antibodies acting as immune checkpoint inhibitors and vaccines entailing tumor-specific antigens seem to be the most promising immunotherapeutic strategies in offering a significant survival advantage. Even though patients with localized disease and favorable prognostic characteristics seem to be the ones that markedly benefit from such interventions, there is substantial evidence to suggest that the survival benefit may also be extended to patients with more advanced disease. The identification of biomarkers that can be immunologically targeted in patients with disease progression is potentially amenable in this process and in achieving significant advances in the decision for precision treatment of PCa.

Biomarker-driven immunotherapy for precision medicine in prostate cancer

2021 ◽  
Author(s):  
Arianna Ottini ◽  
Pierangela Sepe ◽  
Teresa Beninato ◽  
Mélanie Claps ◽  
Valentina Guadalupi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Precision Medicine ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Scale Up ◽  
Predictive Biomarkers ◽  
Standard Of Care ◽  
Individual Characteristics ◽  
Dna Polymerase Epsilon

Although immunotherapy has recently revolutionized standard of care in different cancer types, prostate cancer has generally failed to show dramatic responses to immune checkpoint inhibitors. As in other tumors, the goal in prostate cancer is now to target treatments more precisely on patient’s individual characteristics through precision medicine. Defects in mismatch repair, mutations in the exonuclease domain of the DNA polymerase epsilon ( POLE), high tumor mutational burden and the presence of biallelic loss of CDK12 among others, are predictive biomarkers of response to immunotherapy. In the present review, we summarize the evolving landscape of immunotherapy in prostate cancer, including precision approaches and strategies to define classes of responsive patients and scale up resistance to immune checkpoint inhibitors.

scholarly journals Bayesian adaptive design of early-phase clinical trials for precision medicine based on cancer biomarkers

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Shinjo Yada
Keyword(s):  
Neural Network ◽  
Clinical Trials ◽  
Precision Medicine ◽  
Early Phase ◽  
Patient Specific ◽  
Specific Gene ◽  
Cancer Type ◽  
Background Characteristics ◽  
Number Of Patients ◽  
Early Phase Clinical Trials

Abstract Cancer tissue samples obtained via biopsy or surgery were examined for specific gene mutations by genetic testing to inform treatment. Precision medicine, which considers not only the cancer type and location, but also the genetic information, environment, and lifestyle of each patient, can be applied for disease prevention and treatment in individual patients. The number of patient-specific characteristics, including biomarkers, has been increasing with time; these characteristics are highly correlated with outcomes. The number of patients at the beginning of early-phase clinical trials is often limited. Moreover, it is challenging to estimate parameters of models that include baseline characteristics as covariates such as biomarkers. To overcome these issues and promote personalized medicine, we propose a dose-finding method that considers patient background characteristics, including biomarkers, using a model for phase I/II oncology trials. We built a Bayesian neural network with input variables of dose, biomarkers, and interactions between dose and biomarkers and output variables of efficacy outcomes for each patient. We trained the neural network to select the optimal dose based on all background characteristics of a patient. Simulation analysis showed that the probability of selecting the desirable dose was higher using the proposed method than that using the naïve method.

scholarly journals Biodistribution and internal radiation dosimetry of a companion diagnostic radiopharmaceutical, [68Ga]PSMA-11, in subcutaneous prostate cancer xenograft model mice

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Su Bin Kim ◽  
In Ho Song ◽  
Yoo Sung Song ◽  
Byung Chul Lee ◽  
Arun Gupta ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radiation Dosimetry ◽  
Xenograft Model ◽  
Absorbed Dose ◽  
Patient Specific ◽  
Internal Radiation ◽  
Washout Phase ◽  
Heterogeneous Tissue ◽  
Organ Level ◽  
Reported Data

Abstract[68Ga]PSMA-11 is a prostate-specific membrane antigen (PSMA)-targeting radiopharmaceutical for diagnostic PET imaging. Its application can be extended to targeted radionuclide therapy (TRT). In this study, we characterize the biodistribution and pharmacokinetics of [68Ga]PSMA-11 in PSMA-positive and negative (22Rv1 and PC3, respectively) tumor-bearing mice and subsequently estimated its internal radiation dosimetry via voxel-level dosimetry using a dedicated Monte Carlo simulation to evaluate the absorbed dose in the tumor directly. Consequently, this approach overcomes the drawbacks of the conventional organ-level (or phantom-based) method. The kidneys and urinary bladder both showed substantial accumulation of [68Ga]PSMA-11 without exhibiting a washout phase during the study. For the tumor, a peak concentration of 4.5 ± 0.7 %ID/g occurred 90 min after [68Ga]PSMA-11 injection. The voxel- and organ-level methods both determined that the highest absorbed dose occurred in the kidneys (0.209 ± 0.005 Gy/MBq and 0.492 ± 0.059 Gy/MBq, respectively). Using voxel-level dosimetry, the absorbed dose in the tumor was estimated as 0.024 ± 0.003 Gy/MBq. The biodistribution and pharmacokinetics of [68Ga]PSMA-11 in various organs of subcutaneous prostate cancer xenograft model mice were consistent with reported data for prostate cancer patients. Therefore, our data supports the use of voxel-level dosimetry in TRT to deliver personalized dosimetry considering patient-specific heterogeneous tissue compositions and activity distributions.

1064 Delivery of precision medicine in advanced prostate cancer using circulating tumour cells

2016 ◽  
Vol 15 (3) ◽  
pp. e1064
Author(s):  
H. Rhee ◽  
J. Gunter ◽  
L. Javanovic ◽  
E. Williams ◽  
B. Hollier ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Precision Medicine ◽  
Advanced Prostate Cancer ◽  
Tumour Cells ◽  
Circulating Tumour Cells

Use of Circulating Cell-Free DNA to Guide Precision Medicine in Patients with Colorectal Cancer

2021 ◽  
Vol 72 (1) ◽  
pp. 399-413
Author(s):  
Van K. Morris ◽  
John H. Strickler
Keyword(s):  
Colorectal Cancer ◽  
Precision Medicine ◽  
Residual Disease ◽  
Cost Effective ◽  
Patient Specific ◽  
Blood Draw ◽  
Cell Free Dna ◽  
Free Dna ◽  
Metastatic Setting ◽  
Diagnostic Technology

Patient-specific biomarkers form the foundation of precision medicine strategies. To realize the promise of precision medicine in patients with colorectal cancer (CRC), access to cost-effective, convenient, and safe assays is critical. Improvements in diagnostic technology have enabled ultrasensitive and specific assays to identify cell-free DNA (cfDNA) from a routine blood draw. Clinicians are already employing these minimally invasive assays to identify drivers of therapeutic resistance and measure genomic heterogeneity, particularly when tumor tissue is difficult to access or serial sampling is necessary. As cfDNA diagnostic technology continues to improve, more innovative applications are anticipated. In this review, we focus on four clinical applications for cfDNA analysis in the management of CRC: detecting minimal residual disease, monitoring treatment response in the metastatic setting, identifying drivers of treatment sensitivity and resistance, and guiding therapeutic strategies to overcome resistance.

Cell-Free DNA Detection of Tumor Mutations in Heterogeneous, Localized Prostate Cancer Via Targeted, Multiregion Sequencing

2021 ◽  
pp. 710-725
Author(s):  
Emmalyn Chen ◽  
Clinton L. Cario ◽  
Lancelote Leong ◽  
Karen Lopez ◽  
César P. Márquez ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Tumor Tissue ◽  
Somatic Tissue ◽  
Localized Prostate Cancer ◽  
Genomic Alterations ◽  
Cell Free Dna ◽  
Free Dna ◽  
Multiple Regions ◽  
Localized Disease ◽  
Tissue Alterations

PURPOSE Cell-free DNA (cfDNA) may allow for minimally invasive identification of biologically relevant genomic alterations and genetically distinct tumor subclones. Although existing biomarkers may detect localized prostate cancer, additional strategies interrogating genomic heterogeneity are necessary for identifying and monitoring aggressive disease. In this study, we aimed to evaluate whether circulating tumor DNA can detect genomic alterations present in multiple regions of localized prostate tumor tissue. METHODS Low-pass whole-genome and targeted sequencing with a machine-learning guided 2.5-Mb targeted panel were used to identify single nucleotide variants, small insertions and deletions (indels), and copy-number alterations in cfDNA. The majority of this study focuses on the subset of 21 patients with localized disease, although 45 total individuals were evaluated, including 15 healthy controls and nine men with metastatic castration-resistant prostate cancer. Plasma cfDNA was barcoded with duplex unique molecular identifiers. For localized cases, matched tumor tissue was collected from multiple regions (one to nine samples per patient) for comparison. RESULTS Somatic tumor variants present in heterogeneous tumor foci from patients with localized disease were detected in cfDNA, and cfDNA mutational burden was found to track with disease severity. Somatic tissue alterations were identified in cfDNA, including nonsynonymous variants in FOXA1, PTEN, MED12, and ATM. Detection of these overlapping variants was associated with seminal vesicle invasion ( P = .019) and with the number of variants initially found in the matched tumor tissue samples ( P = .0005). CONCLUSION Our findings demonstrate the potential of targeted cfDNA sequencing to detect somatic tissue alterations in heterogeneous, localized prostate cancer, especially in a setting where matched tumor tissue may be unavailable (ie, active surveillance or treatment monitoring).

Abstract 289: Transcriptomic Analysis of Inter- and Intra-patient Variation in Human iPSCs: Platform for Precision Medicine to Predict Drug Toxicity

2016 ◽  
Vol 119 (suppl_1) ◽  
Author(s):  
Elena Matsa ◽  
Paul W Burridge ◽  
Kun-Hsing Yu ◽  
Haodi Wu ◽  
Vittavat Termglinchan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Precision Medicine ◽  
Disease Modeling ◽  
Sendai Virus ◽  
Expression Profiles ◽  
Cardiac Differentiation ◽  
Patient Specific ◽  
Specific Gene ◽  
Drug Induced ◽  
Human Ipscs

Rapid improvements in human induced pluripotent stem cell (hiPSC) differentiation methodologies have allowed previously unattainable access to high-purity, patient-specific cardiomyocytes (CMs) for use in disease modeling, cardiac regeneration, and drug testing. In the present study, we investigate the ability of hiPSC-derived cardiomyocytes (hiPSC-CMs) to reflect the donor’s genetic identity and serve as preclinical functional readout platforms for precision medicine. We used footprint-free Sendai virus to create two separate hiPSC clones from the fibroblasts of five different individuals lacking known mutations associated with cardiovascular disease. Whole genome expression profiling of hiPSC-CMs showed that inter-patient variation was greater than intra-patient variation, thereby verifying that reprogramming and cardiac differentiation technologies can preserve patient-specific gene expression signatures. Gene ontologies (GOs) accounting for inter-patient variation were mostly metabolic or epigenetic. Toxicology analysis based on gene expression profiles predicted patient-specific susceptibility of hiPSC-CMs to cardiotoxicity, and functional assays using drugs targeting key regulators in pathways predicted to produce cardiotoxicity showed inter-patient differential responses in hiPSC-CMs. Our data suggest that hiPSC-CMs can be used in vitro to predict and help prevent patient-specific drug-induced cardiotoxicity, potentially enabling personalized patient consultation in the future.

Urothelial carcinoma in the era of immune checkpoint inhibitors

Immunotherapy ◽  
2021 ◽  
Author(s):  
Nadine Khalife ◽  
Claude Chahine ◽  
Manal Kordahi ◽  
Tony Felefly ◽  
Hampig Raphael Kourie ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Urothelial Carcinoma ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Invasive Disease ◽  
Line Treatment ◽  
First Line ◽  
Metastatic Urothelial Carcinoma ◽  
Muscle Invasive

Bladder cancer is the seventh most frequent cancer worldwide. The majority of patients present with nonmuscle invasive disease, while 20% of the patients are diagnosed with muscle-invasive bladder cancer. The treatment of nonmuscle invasive disease is endoscopic resection followed by intravesical adjuvant treatment for high risk patients. The standard treatment of localized muscle-invasive disease is neoadjuvant chemotherapy followed by radical cystectomy. Platinum-based chemotherapy is the first-line treatment in locally advanced or metastatic urothelial carcinoma. Immune checkpoint inhibitors have been approved for the treatment of metastatic urothelial carcinoma as second-line treatment or first-line in platinum-ineligible patients. Recently, pembrolizumab have been approved in BCG-refractory nonmuscle invasive bladder cancer. This review summarizes the current evidence concerning immunotherapy in the treatment of urothelial carcinoma.

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