461: Increasing the Predictive Ability of Clinico-pathologic Markers for Prostate Cancer using Biomarkers Derived from High-Throughput Tissue Micorarray Studies in a Large Retrospective Cohort: A Stratification Strategy

2005 ◽  
Vol 173 (4S) ◽  
pp. 126-126
Author(s):  
Gustavo Ayala ◽  
R. Li ◽  
A. Frolov ◽  
Michael Ittmann ◽  
Hong Dai ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Throughput ◽  
Retrospective Cohort ◽  
Predictive Ability

154: Integration of TPSA and High-Throughput Mass Spectrometry Data Improves Prostate Cancer Prediction

2007 ◽  
Vol 177 (4S) ◽  
pp. 52-53
Author(s):  
Stefano Ongarello ◽  
Eberhard Steiner ◽  
Regina Achleitner ◽  
Isabel Feuerstein ◽  
Birgit Stenzel ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Mass Spectrometry ◽  
High Throughput ◽  
Mass Spectrometry Data ◽  
Cancer Prediction

512 A PROSTATE CANCER DIAGNOSTIC TOOL BASED ON HIGH-THROUGHPUT MS SERUM PROTEIN PROFILES

2007 ◽  
Vol 6 (2) ◽  
pp. 150
Author(s):  
A.E. Pelzer ◽  
I. Feuerstein ◽  
S. Ongarello ◽  
C. Fuchsberger ◽  
E. Steiner ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Serum Protein ◽  
High Throughput ◽  
Diagnostic Tool ◽  
Protein Profiles ◽  
Cancer Diagnostic

Retrospective cohort analysis of real-world clinical outcomes in nonmetastatic (M0) castration-resistant prostate cancer (CRPC) treated with novel androgen receptor pathway inhibitors (ARPI).

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 51-51
Author(s):  
Richard Gagnon ◽  
Nimira S. Alimohamed ◽  
Alexander Watson ◽  
Eugene Batuyong ◽  
Alyssa Chow ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Clinical Outcomes ◽  
Real World ◽  
Retrospective Cohort ◽  
Cohort Analysis ◽  
Progression Free Survival ◽  
Rank Test ◽  
Castration Resistant Prostate Cancer ◽  
Survival Times ◽  
Free Survival

51 Background: The landscape of M0 CRPC has changed with the recent demonstration of metastasis-free survival (MFS) and overall survival (OS) improvements with the use of ARPIs in clinical trial settings. However, the extrapolation of this data to clinical practice is limited by strict exclusion criteria in these trials, including prior or concurrent malignancy, cardiovascular disease, or hypertension. The purpose of this study was to assess real-world outcomes in patients with M0 CRPC treated with ARPIs compared to historical controls. Methods: We designed a retrospective cohort study with the inclusion of patients in Alberta, Canada diagnosed with M0 CRPC between 2001-2020. Via chart review, we identified baseline characteristics, potential confounders, treatment details, and clinical outcomes. The primary outcome of interest was MFS. Secondary outcomes included: second progression-free survival (PFS2) and OS. Median survival times were measured using the Kaplan-Meier method and the log-rank test was used for comparison of outcomes based on ARPI exposure. Cox proportional hazard regression models were used to calculate hazard ratios (HR) accounting for impact of PSA doubling time (PSADT), use of osteoclast inhibiting agents, and presence of pelvic lymphadenopathy. Results: We identified 211 patients across multiple centres in Alberta with M0 CRPC, with 54 having received apalutamide (40/54), enzalutamide (7/54), or darolutamide (7/54). Median age at M0 CRPC diagnosis was 74 years; median PSADT was 4.4 months; and 19% of patients (40/211) had pelvic lymphadenopathy at diagnosis. Median MFS in patients treated with ARPIs was 47.5 months compared to 20.6 months in those not treated with ARPIs (HR, 0.23; 95% confidence interval [CI], 0.11-0.49; p < 0.001). Median PFS2 in ARPI treated patients was 66.3 months compared with 35.6 months (HR, 0.40; 95% CI, 0.18-0.87; p = 0.022). Median OS for patients treated with ARPI was not reached. Conclusions: Given the older age of men with advanced prostate cancer, real-world outcomes that include patients with comorbidities are important adjuncts to the interpretation of clinical trials exploring the benefit of novel therapeutics. Here, we demonstrate that in a real-world, unselected population of men with M0 CRPC, apalutamide, enzalutamide, and darolutamide seem to confer similar MFS and PFS2 benefits to those demonstrated in the SPARTAN, PROSPER, and ARAMIS studies. Real-world OS data remain immature and will be an important addition to these findings.

scholarly journals Detecting Novel Urine Biomarkers for the Early Diagnosis of Prostate Cancer: Platelet Derived Growth Factor-BB as a Possible New Target

2018 ◽  
Vol 12 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Athanasios Skarmoutsos ◽  
Ioannis Skarmoutsos ◽  
Ioannis Katafigiotis ◽  
Elisavet Tataki ◽  
Athina Giagini ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Growth Factor ◽  
Early Diagnosis ◽  
Prostate Specific Antigen ◽  
Characteristic Curve ◽  
Specific Antigen ◽  
Predictive Ability ◽  
Platelet Derived Growth Factor ◽  
Enzyme Linked Immunosorbent Assay ◽  
Transrectal Biopsy

Introduction: Although the prostate specific antigen revolutionized the diagnosis of prostate cancer (PCa), it has its limitations. We prospectively examined the potential use of the platelet-derived growth factor-BB (PDGF-BB) as a urine biomarker for the early diagnosis of PCa. Materials and Methods: The urine samples of 118 patients were collected after a prostatic massage and all the patients subsequently underwent ultrasound-guided transrectal biopsy. PDGF-BB was detected in the urine by enzyme-linked immunosorbent assay. Results: Patients with PCa had greater levels of prostate specific antigen and PDGF-BB. Receiver operating characteristic curve analysis showed that the optimal cut-of of PDGF-BB for the prediction of PCa was 1,504.9 with a sensitivity of 60% and a specificity of 51.3%. For a 100 unit increase in PDGF-BB, the likelihood for PCa increased about 4%. Conclusion: PDGF-BB showed a significant predictive ability for PCa. Detection of PDGF-BB in urine with Elisa was easy and improved our diagnostic accuracy in the diagnosis of PCa.

scholarly journals Quantification of a Proteotypic Peptide from Protein C Inhibitor by Liquid Chromatography–Free SISCAPA-MALDI Mass Spectrometry: Application to Identification of Recurrence of Prostate Cancer

2013 ◽  
Vol 59 (10) ◽  
pp. 1514-1522 ◽  
Author(s):  
Morteza Razavi ◽  
Lisa DS Johnson ◽  
Julian J Lum ◽  
Gary Kruppa ◽  
N Leigh Anderson ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Liquid Chromatography ◽  
High Throughput ◽  
Protein C ◽  
Specific Antigen ◽  
Serum Concentrations ◽  
Serum Samples ◽  
Biomarker Validation ◽  
Protein C Inhibitor ◽  
Proteotypic Peptide

BACKGROUND Biomarker validation remains one of the most challenging constraints to the development of new diagnostic assays. To facilitate biomarker validation, we previously developed a chromatography-free stable isotope standards and capture by antipeptide antibodies (SISCAPA)-MALDI assay allowing rapid, high-throughput quantification of protein analytes in large sample sets. Here we applied this assay to the measurement of a surrogate proteotypic peptide from protein C inhibitor (PCI) in sera from patients with prostate cancer. METHODS A 2-plex SISCAPA-MALDI assay for quantification of proteotypic peptides from PCI and soluble transferrin receptor (sTfR) was used to measure these peptides in 159 trypsin-digested sera collected from 51 patients with prostate cancer. These patients had been treated with radiation with or without neoadjuvant androgen deprivation. RESULTS Patients who experienced biochemical recurrence of prostate cancer showed decreased serum concentrations of the PCI peptide analyte within 18 months of treatment. The PCI peptide concentrations remained increased in the sera of patients who did not experience cancer recurrence. Prostate-specific antigen concentrations had no predictive value during the same time period. CONCLUSIONS The high-throughput, liquid chromatography–free SISCAPA-MALDI assay is capable of rapid quantification of proteotypic PCI and sTfR peptide analytes in complex serum samples. Decreased serum concentrations of the PCI peptide were found to be related to recurrence of prostate cancer in patients treated with radiation with or without hormone therapy. However, a larger cohort of patients will be required for unequivocal validation of the PCI peptide as a biomarker for clinical use.

scholarly journals Late Diagnosis among patients with Prostate Cancer at the Uganda Cancer Institute: A retrospective cohort study

2019 ◽  
Author(s):  
Nelson Bunani ◽  
Angela Nakanwagi Kisakye ◽  
Aloysius Ssennyonjo ◽  
Fred Nuwaha
Keyword(s):  
Prostate Cancer ◽  
Health Care ◽  
Prostate Specific Antigen ◽  
Retrospective Cohort ◽  
Specific Antigen ◽  
Late Diagnosis ◽  
Stage Iii ◽  
Cancer Stage ◽  
Initial Symptoms ◽  
Time To Diagnosis

Abstract Background Late diagnosis of prostate cancer is common in Uganda and elsewhere. Diagnosis in advanced stages is associated with high mortality, morbidity and low quality of life. We estimated time taken from perception of symptoms attributable to prostate cancer to biopsy among patients with prostate cancer at the Uganda Cancer Institute (UCI) and the associated factors. Methods We conducted a retrospective cohort analysis of records of 280 patients with histologically confirmed diagnosis of prostate cancer at UCI from January 2016 to December 2017. Time to diagnosis was obtained from the difference between the approximate date of onset of initial symptoms and date when a biopsy was taken. Late diagnosis was that when an individual was diagnosed with prostate cancer stage III or IV whereas stages I and II were classified as early. We used modified poisson regression to assess factors associated with timing of diagnosis among patients. Results The median time from first perceived symptoms to biopsy for prostate cancer patients was 12 (IQR5-24) months and 76% were diagnosed after 4 months of symptoms. Median age at time of diagnosis of patients was 70 (IQR66-74.5) years and at least 50% were aged between 65-74 years. About 81.8% of the patients were diagnosed late; of which 35.7% were in stage III and 46.1% were in stage IV. Nearly all patients presented with raised prostate specific antigen with median prostate specific antigen of 100.2 (IQR36.02-350) ng/ml of blood at the time of admission. In adjusted analysis, a patients whose biopsies were taken before 5 months of recognising symptoms were two times as likely to have cancer stage I and II compared to those patients in whom the biopsies were taken after 4 months. Conclusion More than three in four patients were diagnosed late. Taking a biopsy after 4 months of initiation of symptoms was partially responsible for the delay. To improve time to diagnosis, communities should be educated about symptoms of prostate cancer and advised to seek health care early. Health care workers should be sensitised to suspect prostate cancer among patients to allow timely referral for appropriate specialised assessment and management.

Sign in / Sign up

Export Citation Format

Share Document