scholarly journals Biomarkers for Diagnosis and Prognosis of Prostate Cancer

Prostatectomy ◽  
2019 ◽  
Author(s):  
Meghan A. Rice ◽  
Tanya Stoyanova
Keyword(s):  
Prostate Cancer ◽  
Diagnosis And Prognosis

scholarly journals Prostate Cancer Liquid Biopsy Biomarkers’ Clinical Utility in Diagnosis and Prognosis

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3373
Author(s):  
Milena Matuszczak ◽  
Jack A. Schalken ◽  
Maciej Salagierski
Keyword(s):  
Prostate Cancer ◽  
Liquid Biopsy ◽  
Current Knowledge ◽  
Prostate Gland ◽  
Specific Antigen ◽  
Transrectal Ultrasound ◽  
Digital Rectal Examination ◽  
Cost Effective ◽  
Non Invasive ◽  
Diagnosis And Prognosis

Prostate cancer (PCa) is the most common cancer in men worldwide. The current gold standard for diagnosing PCa relies on a transrectal ultrasound-guided systematic core needle biopsy indicated after detection changes in a digital rectal examination (DRE) and elevated prostate-specific antigen (PSA) level in the blood serum. PSA is a marker produced by prostate cells, not just cancer cells. Therefore, an elevated PSA level may be associated with other symptoms such as benign prostatic hyperplasia or inflammation of the prostate gland. Due to this marker’s low specificity, a common problem is overdiagnosis, which leads to unnecessary biopsies and overtreatment. This is associated with various treatment complications (such as bleeding or infection) and generates unnecessary costs. Therefore, there is no doubt that the improvement of the current procedure by applying effective, sensitive and specific markers is an urgent need. Several non-invasive, cost-effective, high-accuracy liquid biopsy diagnostic biomarkers such as Progensa PCA3, MyProstateScore ExoDx, SelectMDx, PHI, 4K, Stockholm3 and ConfirmMDx have been developed in recent years. This article compares current knowledge about them and their potential application in clinical practice.

scholarly journals Promoter Methylation of PRKCB, ADAMTS12, and NAALAD2 Is Specific to Prostate Cancer and Predicts Biochemical Disease Recurrence

2021 ◽  
Vol 22 (11) ◽  
pp. 6091
Author(s):  
Kristina Daniunaite ◽  
Arnas Bakavicius ◽  
Kristina Zukauskaite ◽  
Ieva Rauluseviciute ◽  
Juozas Rimantas Lazutka ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Clinical Practice ◽  
Promoter Methylation ◽  
Disease Recurrence ◽  
The Cancer Genome Atlas ◽  
Cancer Dataset ◽  
Protein Coding ◽  
Diagnosis And Prognosis ◽  
Genome Wide ◽  
Cancer Genome Atlas

The molecular diversity of prostate cancer (PCa) has been demonstrated by recent genome-wide studies, proposing a significant number of different molecular markers. However, only a few of them have been transferred into clinical practice so far. The present study aimed to identify and validate novel DNA methylation biomarkers for PCa diagnosis and prognosis. Microarray-based methylome data of well-characterized cancerous and noncancerous prostate tissue (NPT) pairs was used for the initial screening. Ten protein-coding genes were selected for validation in a set of 151 PCa, 51 NPT, as well as 17 benign prostatic hyperplasia samples. The Prostate Cancer Dataset (PRAD) of The Cancer Genome Atlas (TCGA) was utilized for independent validation of our findings. Methylation frequencies of ADAMTS12, CCDC181, FILIP1L, NAALAD2, PRKCB, and ZMIZ1 were up to 91% in our study. PCa specific methylation of ADAMTS12, CCDC181, NAALAD2, and PRKCB was demonstrated by qualitative and quantitative means (all p < 0.05). In agreement with PRAD, promoter methylation of these four genes was associated with the transcript down-regulation in the Lithuanian cohort (all p < 0.05). Methylation of ADAMTS12, NAALAD2, and PRKCB was independently predictive for biochemical disease recurrence, while NAALAD2 and PRKCB increased the prognostic power of multivariate models (all p < 0.01). The present study identified methylation of ADAMTS12, NAALAD2, and PRKCB as novel diagnostic and prognostic PCa biomarkers that might guide treatment decisions in clinical practice.

scholarly journals Circular RNA Expression Profiling Identifies Prostate Cancer- Specific circRNAs in Prostate Cancer

2018 ◽  
Vol 50 (5) ◽  
pp. 1903-1915 ◽  
Author(s):  
Qianlin Xia ◽  
Tao Ding ◽  
Guihong Zhang ◽  
Zehuan Li ◽  
Ling Zeng ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Polymerase Chain Reaction Analysis ◽  
Circular Rna ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
High Morbidity ◽  
Qrt Pcr ◽  
Diagnosis And Prognosis ◽  
Novel Biomarkers ◽  
Rna Expression Profiling

Background/Aims: Prostate cancer (PCa) is one of the main cancers that damage males’ health severely with high morbidity and mortality, but there is still no ideal molecular marker for the diagnosis and prognosis of prostate cancer. Methods: To determine whether the differentially expressed circRNAs in prostate cancer can serve as novel biomarkers for prostate cancer diagnosis, we screened differentially expressed circRNAs using SBC-ceRNA array in 4 pairs of prostate tumor and paracancerous tissues. A circRNA-miRNA-mRNA regulatory network for the differential circRNAs and their host genes was constructed by Cytoscape3.5.1 software. Quantitative real-time polymerase chain reaction analysis (qRT-PCR) was performed to confirm the microarray data. Results: We found 1021 differentially expressed circRNAs in PCa tumor using SBC-ceRNA array and confirmed the expression of circ_0057558, circ_0062019 and SLC19A1 in PCa cell lines and tumor tissues through qRT-PCR analysis. We demonstrated that combination of PSA level and two differentially expressed circRNAs showed significantly increased AUC, sensitivity and specificity (0.938, 84.5% and 90.9%, respectively) than PSA alone (AUC of serum PSA was 0.854). Moreover, circ_0057558 was correlated positively with total cholesterol. The functional network of circRNA-miRNA-mRNA analysis showed that circ_0057558 and circ_0034467 regulated miR-6884, and circ_0062019 and circ_0060325 regulated miR-5008. Conclusion: Our results demonstrated that differentially expressed circRNAs (circ_0062019 and circ_0057558) and host gene SLC19A1 of circ_0062019 could be used as potential novel biomarkers for prostate cancer.

Detection of COX-2 in liquid biopsy of patients with prostate cancer

2021 ◽  
pp. jclinpath-2021-207755
Author(s):  
Vanessa Silva Pereira ◽  
Beatriz da Costa Aguiar Alves ◽  
Jaques Waisberg ◽  
Fernando Fonseca ◽  
Flavia Gehrke
Keyword(s):  
Prostate Cancer ◽  
Slow Growth ◽  
Rna Extraction ◽  
Specific Antigen ◽  
Common Type ◽  
Control Group ◽  
Quantitative Real Time Pcr ◽  
Diagnosis And Prognosis ◽  
The Mean ◽  
Cox 2

AimsTo determine the profile of COX-2 gene expression in patients with prostate cancer attended at the ABC University Health Center outpatient clinic and correlate the results with patients’ anatomopathological examinations. Prostate cancer is the sixth most common type of cancer worldwide and the second in Brazil. COX-2 expression is associated with an unfavourable prognosis.Methods15.0 mL of peripheral blood were collected from 24 patients and 25 healthy men. RNA extraction was performed using the QIAamp RNA Blood Mini Kit. Complementary DNA synthesis was performed using SuperScript II RNAse Reverse Transcriptase. Quantitative real-time PCR was performed with specific COX-2 oligonucleotides and the endogenous GAPDH gene.ResultsThe mean age of the patients was 69 years old. The Gleason scoring system showed 37.5% of patients with Gleason 6 (slow growth, low risk), 45.8% with Gleason 7 (intermediate risk) and 16.7% with Gleason 8 or 9 (risk of high-grade cancer). The median COX-2 expression in the study group was 0.97, while in the control group it was 0.11 (p<0.045).ConclusionsPatients with prostate cancer showed higher COX-2 expression at diagnosis compared with the control group. Since COX-2 detection associated with prostate-specific antigen dosage shows promise as a biomarker for diagnosis and prognosis in patients with prostate cancer, further research is required to confirm these findings.

scholarly journals Methodology for the at-home collection of urine samples for prostate cancer detection

BioTechniques ◽  
2020 ◽  
Vol 68 (2) ◽  
pp. 65-71 ◽  
Author(s):  
Martyn Webb ◽  
Kate Manley ◽  
Mireia Olivan ◽  
Ingrid Guldvik ◽  
Malgorzata Palczynska ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Large Scale ◽  
Digital Rectal Examination ◽  
Urine Samples ◽  
Rt Pcr ◽  
Rectal Examination ◽  
Diagnosis And Prognosis ◽  
Gene Transcripts ◽  
At Home

Urine from patients with prostate cancer (PCa) contains gene transcripts that have been used for PCa diagnosis and prognosis. Historically, patient urine samples have been collected after a digital rectal examination of the prostate, which was thought necessary to boost the levels of prostatic secretions in the urine. We herein describe methodology that allows urine to be collected by patients at home and then posted to a laboratory for analysis. RNA yields and quality were comparable to those for post digital rectal examination urine, and there was improved sensitivity for the detection of TMPRSS2:ERG transcripts by RT-PCR. The At-Home collection protocol has opened up the potential to perform large-scale PCa studies without the inconvenience, cost, discomfort and expense of patients having to visit the clinic.

New biomarkers for diagnosis and prognosis of localized prostate cancer

2018 ◽  
Vol 52 ◽  
pp. 9-16 ◽  
Author(s):  
Dimitry A. Chistiakov ◽  
Veronika A. Myasoedova ◽  
Andrey V. Grechko ◽  
Alexandra A. Melnichenko ◽  
Alexander N. Orekhov
Keyword(s):  
Prostate Cancer ◽  
Localized Prostate Cancer ◽  
Diagnosis And Prognosis ◽  
New Biomarkers
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