scholarly journals Advances and Perspectives in Prostate Cancer Biomarker Discovery in the Last 5 Years through Tissue and Urine Metabolomics

Metabolites ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 181
Author(s):  
Ana Rita Lima ◽  
Joana Pinto ◽  
Filipa Amaro ◽  
Maria de Lourdes Bastos ◽  
Márcia Carvalho ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Biomarker Discovery ◽  
Specific Antigen ◽  
Cancer Biomarker ◽  
Metabolic Reprogramming ◽  
The Past ◽  
Promising Strategy ◽  
Ideal Approach ◽  
Novel Biomarkers ◽  
The Impact

Prostate cancer (PCa) is the second most diagnosed cancer in men worldwide. For its screening, serum prostate specific antigen (PSA) test has been largely performed over the past decade, despite its lack of accuracy and inability to distinguish indolent from aggressive disease. Metabolomics has been widely applied in cancer biomarker discovery due to the well-known metabolic reprogramming characteristic of cancer cells. Most of the metabolomic studies have reported alterations in urine of PCa patients due its noninvasive collection, but the analysis of prostate tissue metabolome is an ideal approach to disclose specific modifications in PCa development. This review aims to summarize and discuss the most recent findings from tissue and urine metabolomic studies applied to PCa biomarker discovery. Eighteen metabolites were found consistently altered in PCa tissue among different studies, including alanine, arginine, uracil, glutamate, fumarate, and citrate. Urine metabolomic studies also showed consistency in the dysregulation of 15 metabolites and, interestingly, alterations in the levels of valine, taurine, leucine and citrate were found in common between urine and tissue studies. These findings unveil that the impact of PCa development in human metabolome may offer a promising strategy to find novel biomarkers for PCa diagnosis.

scholarly journals Proteomics in Diagnosis of Prostate Cancer/ Протеомика Во Дијагноза На Простатниот Карцином

PRILOZI ◽  
2015 ◽  
Vol 36 (1) ◽  
pp. 5-36 ◽  
Author(s):  
Katarina Davalieva ◽  
Momir Polenakovic
Keyword(s):  
Prostate Cancer ◽  
Tumor Tissue ◽  
Biomarker Discovery ◽  
Molecular Level ◽  
Specific Antigen ◽  
Shotgun Proteomics ◽  
Comparative Proteomics ◽  
Label Free ◽  
The Past ◽  
Proteomics Research

Abstract Prostate cancer (PCa) is the second most frequently diagnosed malignancy in men worldwide. The introduction of prostate specific antigen (PSA) has greatly increased the number of men diagnosed with PCa but at the same time, as a result of the low specificity, led to overdiagnosis, resulting to unnecessary biopsies and high medical cost treatments. The primary goal in PCa research today is to find a biomarker or biomarker set for clear and effecttive diagnosis of PCa as well as for distinction between aggressive and indolent cancers. Different proteomic technologies such as 2-D PAGE, 2-D DIGE, MALDI MS profiling, shotgun proteomics with label-based (ICAT, iTRAQ) and label-free (SWATH) quantification, MudPIT, CE-MS have been applied to the study of PCa in the past 15 years. Various biological samples, including tumor tissue, serum, plasma, urine, seminal plasma, prostatic secretions and prostatic-derived exosomes were analyzed with the aim of identifying diagnostic and prognostic biomarkers and developing a deeper understanding of the disease at the molecular level. This review is focused on the overall analysis of expression proteomics studies in the PCa field investigating all types of human samples in the search for diagnostics biomarkers. Emphasis is given on proteomics platforms used in biomarker discovery and characterization, explored sources for PCa biomarkers, proposed candidate biomarkers by comparative proteomics studies and the possible future clinical application of those candidate biomarkers in PCa screening and diagnosis. In addition, we review the specificity of the putative markers and existing challenges in the proteomics research of PCa.

scholarly journals Prostate cancer biomarkers and multiparametric MRI: is there a role for both in prostate cancer management?

2021 ◽  
Vol 13 ◽  
pp. 175628722199718
Author(s):  
Anna Saltman ◽  
Joseph Zegar ◽  
Monzer Haj-Hamed ◽  
Sadhna Verma ◽  
Abhinav Sidana
Keyword(s):  
Prostate Cancer ◽  
Specific Antigen ◽  
Prostate Imaging ◽  
Cancer Management ◽  
Screening And Surveillance ◽  
Prostate Health Index ◽  
Novel Biomarkers ◽  
Prostate Health ◽  
The Impact

Several advancements have been made in recent years with regards to the detection and evaluation of prostate cancer (PCa). The low specificity of prostate specific antigen (PSA) has left much to be desired in a test, but a boom in novel biomarkers has made screening and surveillance more complicated. Several attempts at identifying a niche for these tests has helped somewhat, but much is still undetermined about the benefit that each test provides. In addition to laboratory tests, advancements in multiparametric magnetic resonance imaging (mpMRI) and PIRADSv.2 scoring have provided significant benefit to the evaluation of PCa. With the widespread use of prostate imaging, it is important to re-evaluate the impact of novel biomarkers in the context of furthering PCa screening and management. In this review, we aim to assess the influence mpMRI has on the role of nine different novel biomarkers in the detection and evaluation of PCa. We performed a review of current peer-reviewed literature to assess this question. Much data has been published on the role of these tests, allowing for their placement into one of three best-fit categories: tests for biopsy-naïve men (Prostate Health Index, Mi Prostate Score, 4K Score); tests for men with prior negative biopsies (ConfirmMDx, Progensa PCA3); and men on active surveillance (OncotypeDx, Prolaris, Decipher). Data on the role of these tests with the use of mpMRI have not been comprehensive and excludes several of the markers. More research is needed to determine the combined impact mpMRI and the novel biomarkers on the evaluation and management of PCa.

scholarly journals Prognostic role of docetaxel-induced suppression of free testosterone serum levels in metastatic prostate cancer patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Paula Kappler ◽  
Michael A. Morgan ◽  
Philipp Ivanyi ◽  
Stefan J. Brunotte ◽  
Arnold Ganser ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Metastatic Prostate Cancer ◽  
Cox Regression ◽  
Specific Antigen ◽  
Progression Free Survival ◽  
Serum Levels ◽  
Biologically Active ◽  
Free Form ◽  
Total Testosterone ◽  
The Impact

AbstractTo date, only few data concerning the biologically active, free form of testosterone (FT) are available in metastatic prostate cancer (mPC) and the impact of FT on disease, therapy and outcome is largely unknown. We retrospectively studied the effect of docetaxel on FT and total testosterone (TT) serum levels in 67 mPC patients monitored between April 2008 and November 2020. FT and TT levels were measured before and weekly during therapy. The primary endpoint was overall survival (OS). Secondary endpoints were prostate-specific antigen response and radiographic response (PSAR, RR), progression-free survival (PFS), FT/TT levels and safety. Median FT and TT serum levels were completely suppressed to below the detection limit during docetaxel treatment (FT: from 0.32 to < 0.18 pg/mL and TT: from 0.12 to < 0.05 ng/mL, respectively). Multivariate Cox regression analyses identified requirement of non-narcotics, PSAR, complete FT suppression and FT nadir values < 0.18 pg/mL as independent parameters for PFS. Prior androgen-receptor targeted therapy (ART), soft tissue metastasis and complete FT suppression were independent prognostic factors for OS. FT was not predictive for treatment outcome in mPC patients with a history of ART.

The national impact of the COVID-19 pandemic on U.S. prostate cancer community care.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 5061-5061
Author(s):  
Matthew R. Cooperberg ◽  
Paul Brendel ◽  
Daniel J. Lee ◽  
Rahul Doraiswami ◽  
Hariesh Rajasekar ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Language Processing ◽  
Care Delivery ◽  
Specific Antigen ◽  
Risk Groups ◽  
Low Risk ◽  
T Stage ◽  
Risk Stratum ◽  
The Impact

5061 Background: We used data from a specialty-wide, community-based urology registry to determine trends in outpatient prostate cancer (PCa) care during the COVID-19 pandemic. Methods: 3,165 (̃ 25%) of US urology providers, representing 48 states and territories, participate in the American Urological Association Quality (AQUA) Registry, which collects data via automated extraction from electronic health record systems. We analyzed trends in PCa care delivery from 156 practices contributing data in 2019 and 2020. Risk stratification was based on prostate-specific antigen (PSA) at diagnosis, biopsy Gleason, and clinical T-stage, and we used a natural language processing algorithm to determine Gleason and T-stage from unstructured clinical notes. The primary outcome was mean weekly visit volume by PCa patients per practice (visits defined as all MD and mid-level visits, telehealth and face-to-face), and we compared each week in 2020 through week 44 (November 1) to the corresponding week in 2019. Results: There were 267,691 PCa patients in AQUA who received care between 2019 and 2020. From mid-March to early November, 2020 (week 10 – week 44) the magnitude of the decline and recovery varied by risk stratum, with the steepest drops for low-risk PCa (Table). For 2020, overall mean visits per day (averaged weekly) were similar to 2019 for the first 9 weeks (̃25). Visits declined to week 14 (18.19; a 31% drop from 2019), recovered to 2019 levels by week 23, and declined steadily to 11.89 (a 58% drop from 2019) as of week 44, the cut off of this analysis. Conclusions: Access to care for men with PCa was sharply curtailed by the COVID-19 pandemic, and while the impact was less for men with high-risk disease compared to those with low-risk disease, visits even for high-risk individuals were down nearly one-third and continued to fall through November. This study provides real-world evidence on the magnitude of decline in PCa care across risk groups. The impact of this decline on cancer outcomes should be followed closely.[Table: see text]

scholarly journals Circulating miRNAs as Biomarkers for Prostate Cancer Diagnosis in Subjects with Benign Prostatic Hyperplasia

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Wei Jin ◽  
Xiang Fei ◽  
Xia Wang ◽  
Fangjie Chen ◽  
Yan Song
Keyword(s):  
Prostate Cancer ◽  
Benign Prostatic Hyperplasia ◽  
Statistical Tests ◽  
Specific Antigen ◽  
Area Under The Curve ◽  
Prostatic Hyperplasia ◽  
Control Group ◽  
Circulating Mirnas ◽  
Noninvasive Biomarker ◽  
Novel Biomarkers

Body fluids often contain freely circulating nucleic acids, many of which can be exploited as noninvasive tools for the diagnosis of cancer as well as for clinical prognostication. Identifying microRNAs (miRNAs) in subjects’ blood with various malignancies means that they can serve as novel biomarkers for prostate cancer (PCa) diagnosis. This study analyzed serum-circulating miRNAs as a noninvasive biomarker in subjects with PCa and subjects with benign prostatic hyperplasia (BPH). In total, 31 PCa subjects and 31 BPH subjects were included, with the BPH group serving as the control group. RT-qPCR was used to quantify the levels of 10 miRNAs, which included miR-18a, miR-34a, miR-106b, miR-183, miR-200a, miR-301a, miR-141, miR-182, miR-200b, and miR-375 in serum. Statistical tests were used to assess the relationship between the levels of miRNAs and the clinicopathological data. A significant increase was observed in the relative expression ratios of miR-141, miR-182, miR-200b, and miR-375 (1.89-, 2.09-, 2.41-, and 2.27-folds, respectively) in the PCa group when compared to the BPH group. Based on the receiver operating characteristic (ROC) analysis, the largest area under the curve (AUC), 0.923, was associated with the miR-200b group, indicating effective diagnostic properties for this biomarker. A correlation was observed between total prostate-specific antigen (TPSA) and the relative levels of miR-141, miR-182, miR-200b, and miR-375. The Gleason score and the miR-200b expression level were also correlated. These results are consistent with previous studies regarding the possibility of differentiating between PCa subjects and healthy controls based on the detection of miRNA. The findings attest to a distinctive expression profile of miRNA that is detectable in the blood of PCa subjects, thereby confirming the role of miRNAs as diagnostic biomarkers for PCa.

A decision analytic model of prostate cancer screening using prostate-specific antigen and digital rectal exam

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 5155-5155
Author(s):  
J. H. Hayes ◽  
M. J. Barry ◽  
P. W. Kantoff ◽  
J. E. Stahl
Keyword(s):  
Prostate Cancer ◽  
Life Expectancy ◽  
Prostate Specific Antigen ◽  
Specific Antigen ◽  
Sensitivity Analyses ◽  
Base Case ◽  
Decision Analytic Model ◽  
Digital Rectal Exam ◽  
Psa Screening ◽  
The Impact

5155 Background: PSA-based screening has been widely adopted in the US although a mortality benefit has yet to be demonstrated. The disutility of screening and quality of life of men diagnosed and treated after screening are critical issues in assessing its benefit and harm. The purpose of this model is to estimate the effect of one-time screening for prostate cancer using Prostate Specific Antigen (PSA) and DRE (digital rectal exam) on life expectancy (LE) and Quality Adjusted Life Expectancy (QALE) in the context of current diagnostic and treatment practice. Methods: A semi-Markov state transition simulation describes the relevant health states. Two strategies were compared: 1) Screening - single screening PSA and DRE; 2) No Screening - patients diagnosed after developing symptoms. Markov cycle length was 1 year. Transition probabilities and utility weights were developed from review of the literature and expert opinion. Sensitivity analyses were performed on all parameters. A PSA threshold of 4 ng/mL and age 65 were used for the base case. The model was created using TreeAge software. Results: For our base case, a single screening conferred a LE benefit of 0.37 y (15.86 vs 15.49 y) and a QALE benefit of 0.20 QALYs (15.62 vs 15.42 QALYs). Predicted 10 y cancer specific survival for screen-diagnosed men was 95.7% vs SEER 97.7%. The model predicted 9.5% of screened patients would have metastatic disease at diagnosis vs 5% in SEER (4% unknown stage); in unscreened men, this rate was 18/100,000 vs 15/100,000 in SEER. Sensitivity Analyses of Utilities (SA): The single screen model was relatively insensitive to SA of utilities: a 20% single cycle toll on one-time PSA screening disutility was required to eliminate the benefit of screening. The disutility of positive PSA with negative biopsy slightly affected QALE: a toll of 0.25 QALYs decreased QALE from 15.62 to 15.61 QALYs. Conclusions: Our model reveals a modest benefit to one-time screening for prostate cancer. This one-time screening model is relatively insensitive to utility SA; however, the importance of incorporating psychological effects of PSA screening in recurrent screening is to be determined. The impact of serial screening, lead time, PSA threshold, and cost effectiveness on LE and QALE is being analyzed. No significant financial relationships to disclose.

Prognostic value of free testosterone (FT) levels during salvage chemotherapy with carboplatin plus weekly docetaxel in metastatic castration- and docetaxel-resistant prostate cancer (mDRPC).

2013 ◽  
Vol 31 (6_suppl) ◽  
pp. 152-152
Author(s):  
Christoph W. Reuter ◽  
Michael A. Morgan ◽  
Martin Fenner ◽  
Viktor Grünwald ◽  
Arnold Ganser
Keyword(s):  
Prostate Cancer ◽  
Disease Progression ◽  
Specific Antigen ◽  
Progression Free Survival ◽  
Free Testosterone ◽  
Salvage Chemotherapy ◽  
Blood Levels ◽  
Weekly Docetaxel ◽  
Grade 3 ◽  
The Impact

152 Background: Recent data suggest that carboplatin plus weekly docetaxel (DC) may be effective in mDRPC. Carboplatin, docetaxel and steroids interfere with testosterone biosynthesis and/or metabolism. In this study the impact of DC treatment on testosterone blood levels was analyzed. Methods: Docetaxel failure/resistance was defined as disease progression during docetaxel treatment according to the Prostate Cancer Working Group (PCWG2 2007) criteria. Since February 2005, 74 consecutive DRPC patients (pts.) were treated with at least 2 cycles of carboplatin AUC5 iv for 30 min on day 1 plus docetaxel at a dose of 35 mg/m2 iv for one hour on days 1, 8, (15) every 4 weeks and prednisone 2x5mg/day orally after receiving informed consent until disease progression or occurrence of intolerable adverse effects. Efficacy measures were done following PCWG2 recommendations. FT levels were measured before (n=50) and during DC chemotherapy (n=43). Results: Response of prostate-specific antigen (PSAR; ≥50% PSA) was observed in 35/74 (47.3%) pts. At the current analysis the median follow-up time was 16.0 months and 54/74 pts. had died. Median progression-free survival (PFS) was 6.9 months (CI 95% 5.3, 8.4) and median overall survival (OS) was 18.6 months (CI 95% 12.4, 24.7). Median nadir FT levels were 2.8 pmol/L before and below the RIA detection limit of 0.6 pmol/L during DC treatment (p=0.011). While only 4/50 pts. had FT levels <0.6 pmol/L before DC treatment (all under abiraterone therapy), 27/43 pts. had nadir FT values <0.6 pmol/L during DC chemotherapy (p<0.001). FT levels <1 pmol/L during DC treatment were associated with a higher PSA response rate (hazard ratio HR 0.09; CI 0.02, 0.81, p=0.032) and FT levels <0.6 pmol/L with a higher OS (HR 0.45; CI 0.18, 0.98, p=0.045). FT remained statistically prognostic in multivariable analyses. The DC regimen was reasonably well tolerated, with leukopenia/ neutropenia as the most common reversible grade 3/4 toxicity (41.9/37.8%). Conclusions: These data demonstrate for the first time that FT is an important prognostic factor for PSAR and OS in mDRPC pts. receiving chemotherapy.

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