Objective: To evaluate the clinical and pathological characteristics of screen vs non-screen-detected prostate cancers, to determine if there is a difference in the same prostate-specific antigen (PSA) range.
Patients And Methods: In all, 997 patients who had had a radical prostatectomy were evaluated; 806 were Tyrolean screening volunteers, and 191 were from outside Tyrol, representing the 'referred prostate cancer' group. PSA level, age, prostate volume and pathological characteristics were assessed, as was the amount of over- and under-diagnosis.
Results: There were no statistically significant differences in patient age or PSA levels in the two groups. Even in the same PSA range there were statistically significantly more extraprostatic cancers in the referral group, at 31.7% and 17.4%, respectively. In the referred and screening groups there was over-diagnosis in 7.9% and 16.8%, and under-diagnosis in 40.8% and 27.8%, respectively.
Conclusion: This study suggests that screening volunteers have a statistically significantly higher rate of organ-confined prostate cancers, and a statistically significantly lower rate of extracapsular extension and positive surgical margins than their counterparts in the referral group even in the same PSA range. As the pathological stage and surgical margin status are significant predictors of recurrence, these findings support the concept of PSA screening.
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http://dx.doi.org/10.1111/j.1464-410X.2008.07566.x | DOI Listing |
Here we report results of a phase 1 multi-institutional, open-label, dose-escalation trial (NCT02744287) of BPX-601, an investigational autologous PSCA-directed GoCAR-T® cell product containing an inducible MyD88/CD40 ON-switch responsive to the activating dimerizer rimiducid, in patients with metastatic pancreatic (mPDAC) or castration-resistant prostate cancer (mCRPC). Primary objectives were to evaluate safety and tolerability and determine the recommended phase 2 dose/schedule (RP2D). Secondary objectives included the assessment of efficacy and characterization of the pharmacokinetics of rimiducid.
View Article and Find Full Text PDFBackground: In TALAPRO-2, the poly(ADP-ribose) polymerase inhibitor talazoparib plus the androgen receptor-signaling inhibitor enzalutamide improved radiographic progression-free survival (rPFS) versus placebo plus enzalutamide (hazard ratio [HR] = 0.63; 95% CI, 0.51-0.
View Article and Find Full Text PDFFront Cell Dev Biol
December 2024
Department of Oncology, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, Henan, China.
Pseudouridine (Ψ) is a post-transcriptional modifier of RNA, often referred to as the 'fifth nucleotide' owing to its regulatory role in various biological functions as well as because of its significant involvement in the pathogenesis of human cancer. In recent years, research has revealed various Ψ modifications in different RNA types, including messenger RNA, transfer RNA, ribosomal RNA, small nuclear RNA, and long noncoding RNA. Pseudouridylation can significantly alter RNA structure and thermodynamic stability, as the Ψ-adenine (A) base pair is more stable than the typical uridine (U)-A base pair is due to its structural similarity to adenine.
View Article and Find Full Text PDFWorld J Surg Oncol
December 2024
Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Background: To assess the clinical utility of PCA3 in the diagnostic accuracy, the correlation between PCA3 and biopsy or pathological characteristics and the performance of PCA3 to reduce the unnecessary biopsies in Chinese population.
Methods: A prospective study including patients with indication of prostate biopsies from 4 centers was conducted. All patients underwent PCA3 urine tests and prostate biopsies.
BMC Med Imaging
December 2024
Department of MRI, Xinxiang Central Hospital (The Fourth Clinical College of Xinxiang Medical University), 56 Jinsui Road, Xinxiang, Henan, 453000, China.
Background: To develop and validate an interpretable machine learning model based on intratumoral and peritumoral radiomics combined with clinicoradiological features and metabolic information from magnetic resonance spectroscopy (MRS), to predict clinically significant prostate cancer (csPCa, Gleason score ≥ 3 + 4) and avoid unnecessary biopsies.
Methods: This study retrospectively analyzed 350 patients with suspicious prostate lesions from our institution who underwent 3.0 Tesla multiparametric magnetic resonance imaging (mpMRI) prior to biopsy (training set, n = 191, testing set, n = 83, and a temporal validation set, n = 76).
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